Author: "Moskvina AS" / Topic: humans - Searchworks@Jio Institute Digital Library Search Results

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1. The lysosomal disease caused by mutant VPS33A

Author: Andrea Ballabio, Aleksey Shatunov, Lena E Nikolaeva, Elena Pavlova, J. Paul Luzio, Alena I Moskvina, Timothy M. Cox, Lena Wartosch, Karen Tylee, Nicholas A. Bright, Heather J. Church, Pavlova, Elena [0000-0003-0187-5098], Bright, Nicholas [0000-0002-2791-6727], Luzio, John [0000-0003-3912-9760], Cox, Timothy [0000-0002-4951-9941], Apollo - University of Cambridge Repository, Pavlova, Elena V, Shatunov, Aleksey, Wartosch, Lena, Moskvina, Alena I, Nikolaeva, Lena E, Bright, Nicholas A, Tylee, Karen L, Church, Heather J, Ballabio, Andrea, Luzio, J Paul, and Cox, Timothy M
Subjects: Male, Pyrrolidines, Endosome, Protein Conformation, Mutant, Endocytic cycle, Lactosylceramides, Mutation, Missense, Vesicular Transport Proteins, Vacuole, Biology, Bortezomib, 03 medical and health sciences, Lactosylceramide, 0302 clinical medicine, Mutant protein, Antigens, CD, Exome Sequencing, Genetics, medicine, Humans, music, Molecular Biology, Genetics (clinical), Cells, Cultured, 030304 developmental biology, 0303 health sciences, music.instrument, Infant, General Medicine, Fibroblasts, Mucopolysaccharidoses, Sphingolipid, Endocytosis, 3. Good health, Cell biology, Siberia, Phenotype, Proteasome inhibitor, Female, General Article, Lysosomes, Proteasome Inhibitors, 030217 neurology & neurosurgery, medicine.drug, Carbohydrate Metabolism, Inborn Errors, HeLa Cells
Abstract: A rare lysosomal disease resembling a mucopolysaccharidosis with unusual systemic features, including renal disease and platelet dysfunction, caused by the defect in a conserved region of the VPS33A gene on human chromosome 12q24.31, occurs in Yakuts—a nomadic Turkic ethnic group of Southern Siberia. VPS33A is a core component of the class C core vacuole/endosome tethering (CORVET) and the homotypic fusion and protein sorting (HOPS) complexes, which have essential functions in the endocytic pathway. Here we show that cultured fibroblasts from patients with this disorder have morphological changes: vacuolation with disordered endosomal/lysosomal compartments and—common to sphingolipid diseases—abnormal endocytic trafficking of lactosylceramide. Urine glycosaminoglycan studies revealed a pathological excess of sialylated conjugates as well as dermatan and heparan sulphate. Lipidomic screening showed elevated β-D-galactosylsphingosine with unimpaired activity of cognate lysosomal hydrolases. The 3D crystal structure of human VPS33A predicts that replacement of arginine 498 by tryptophan will de-stabilize VPS33A folding. We observed that the missense mutation reduced the abundance of full-length VPS33A and other components of the HOPS and CORVET complexes. Treatment of HeLa cells stably expressing the mutant VPS33A with a proteasome inhibitor rescued the mutant protein from degradation. We propose that the disease is due to diminished intracellular abundance of intact VPS33A. Exposure of patient-derived fibroblasts to the clinically approved proteasome inhibitor, bortezomib, or inhibition of glucosylceramide synthesis with eliglustat, partially corrected the impaired lactosylceramide trafficking defect and immediately suggest therapeutic avenues to explore in this fatal orphan disease.
Published: 2019

2. [Immunohistochemical study of the MSI phenotype of urothelial bladder cancer]

Author: I M Telezhnikova, L E Zavalishina, L V Moskvina, Yu Yu Andreeva, O A Kuznetsova, I I Vinogradov, E M Olyushina, and G A Frank
Subjects: 0301 basic medicine, congenital, hereditary, and neonatal diseases and abnormalities, Pathology, medicine.medical_specialty, Biology, MLH1, Pathology and Forensic Medicine, 03 medical and health sciences, 0302 clinical medicine, Biopsy, medicine, PMS2, Humans, Stage (cooking), neoplasms, Bladder cancer, medicine.diagnostic_test, nutritional and metabolic diseases, medicine.disease, Phenotype, Immunohistochemistry, digestive system diseases, MSH6, DNA-Binding Proteins, 030104 developmental biology, Urinary Bladder Neoplasms, 030220 oncology & carcinogenesis, Microsatellite Instability, Colorectal Neoplasms
Abstract: To investigate the MSI phenotype of urothelial bladder cancer (BC) by immunohistochemistry (IHC) and to assess its relationship to the prognostic factors of the disease and PD-L1 status of BC.Using the surgical and biopsy materials obtained from 50 patients with BC during examination and treatment, the investigators studied the MSI phenotype by IHC. A system was proposed to assess the IHC expression of MSI proteins, by taking into account the intensity of nuclear staining and the area occupied by tumor cells with stained nuclei.An analysis of the results of an IHG study of MSI protein expression revealed a high direct correlation between the nuclear staining intensity of tumor cells and the percentage of tumor area occupied by the latter. The lack/decrease of the expression of the studied proteins was associated with the stage (T) and the presence of a high-grade tumor. The heterogeneous expression of the studied proteins (PMS2, MLH1, and MSH6) was noted to be 10, 30, and 40%, respectively.A high direct correlation was observed between the nuclear staining intensity of tumor cells and the percentage of the area occupied by the latter. There was a relationship between the lack and/or decrease of the expression of MSI proteins (mainly PMS2 and MLH1 and to a lesser extent MSH6) and the grade of BC, as well as stage T; there was a tendency to decrease the expression of the studied proteins in the area of invasive tumor growth, which confirms the prognostic role of MSI proteins. The most pronounced heterogeneity of IHC expression was noted with MSH6; the least one was seen with PMS2. There was a predominance of high-grade surface carcinomas (T1) among the heterogeneously stained tumors. In the case of positive PD-L1 status, there was decreased PMS2 and MLH1 expression and pronounced MSH6 expression; no significant relationship was found due to the small number of these cases. The authors consider it necessary to conduct further studies of the relationship between the MSI phenotype and the PD-L1 status of BC.Цель - исследование MSI-фенотипа уротелиального рака мочевого пузыря (РМП) иммуногистохимическим (ИГХ) методом и оценка его связи с прогностическими факторами заболевания и PD-L1-статусом РМП. Материал и методы. На операционном и биопсийном материале, полученном при обследовании и лечении 50 больных РМП, изучен MSI-фенотип ИГХ-методом. Предложена система оценки ИГХ-экспрессии белков MSI с учетом интенсивности ядерного окрашивания и площади, занимаемой опухолевыми клетками с окрашенными ядрами. Результаты. Анализ результатов ИГХ-исследования экспрессии белков MSI выявил высокую прямую корреляционную связь между интенсивностью ядерного окрашивания опухолевых клеток и процентом занимаемой ими площади опухоли. Отсутствие/снижение экспрессии исследуемых белков было связано со стадией (T) и наличием низкодифференцированной опухоли. Отмечено наличие гетерогенности экспрессии исследуемых белков: для PMS2 10%, для MLH1 30%, для MSH6 40%. Заключение. Отмечена высокая прямая корреляционная связь между интенсивностью ядерного окрашивания опухолевых клеток и процентом занимаемой ими площади. Выявлена связь между отсутствием и/или снижением экспрессии белков MSI (преимущественно PMS2 и MLH1, в меньшей степени MSH6) и степенью дифференцировки РМП, а также стадией T, обнаружена тенденция к снижению экспрессии исследуемых белков в зоне инвазивного роста опухоли, что подтверждает прогностическую роль белков MSI. Наиболее выраженную гетерогенность ИГХ-экспрессии отметили для MSH6, наименьшую - для PMS2. Среди опухолей с гетерогенным окрашиванием преобладали низкодифференцированные поверхностные карциномы (T1). В случае позитивного PD-L1-статуса отмечены снижение экспрессии PMS2 и MLH1 и выраженная экспрессия MSH6, достоверной связи не выявлено из-за малого числа этих случаев. Авторы считают необходимым проведение дальнейших исследований связи MSI-фенотипа и PD-L1-статуса РМП.
Published: 2020

3. [Updated 2018 ASCO/CAP recommendations on the definition of human epidermal growth factor receptor type 2 (HER2) in breast cancer]

Author: L V Moskvina, L E Zavalishina, Yu Yu Andreeva, E M Olyushina, and G A Frank
Subjects: 0301 basic medicine, Clinical Oncology, Oncology, medicine.medical_specialty, Her2 expression, business.industry, Receptor, ErbB-2, Breast Neoplasms, medicine.disease, Pathology and Forensic Medicine, 03 medical and health sciences, 030104 developmental biology, 0302 clinical medicine, Breast cancer, 030220 oncology & carcinogenesis, Internal medicine, Biomarkers, Tumor, Medicine, Human epidermal growth factor receptor, Humans, skin and connective tissue diseases, business, Asco cap, In Situ Hybridization, Fluorescence
Abstract: A summary of the updated recommendations of the 2018 American Society of Clinical Oncology (ASCO) / College of American Pathologists (CAP), devoted to testing type 2 human epidermal growth factor receptor (HER2) in breast cancer.Представлены обновленные рекомендации 2018 г. Американского общества клинической онкологии (ASCO) / Колледжа Американских патологов (CAP), посвященные определению рецептора эпидермального фактора роста человека 2-го типа (HER2) при раке молочной железы.
Published: 2019

4. [Russian version of the neurogenic bladder symptom score (NBSS)]

Author: E S, Philippova, I V, Bazhenov, L I, Volkova, E Y, Moskvina, E L, Turova, and Y V, Popova
Subjects: Surveys and Questionnaires, Quality of Life, Humans, Reproducibility of Results, Urinary Bladder, Neurogenic, Russia
Abstract: The Neurogenic Bladder Symptom Score (NBSS) is widely used now for the bladder symptoms assessment in neurogenic low urinary tract dysfunction. It is suitable for all patients, regardless of a bladder management method. NBSS contains 24 questions, which focus on incontinence, storage and voiding symptoms, urinary complicationsand life quality.With the permission of the authors (Dr.Welk et al.), NBSS had been translated into Russian according to the cultural and lingual adaptation algorithm.Validate the Russian version of NBSS for multiple sclerosis patients.The study included 80respondents: group A - 40 multiple sclerosis (MS) patients with neurogenic bladder, group B - 40 multiple sclerosis (MS) patients without bladder dysfunction, group C - healthy controls. All participants filled out the NBSS two times with an interval of two weeks. They also completed other measurement tools (IPSS,OAB Awareness Tool, WHOQOL BREF).Data were used to determine the internal consistency (Cronbachs alfa), external validity (Pearson correlation), and test-re-test reliability with interclass correlation coefficient.The mean of the NBSS total in the group A was 22.56+/-12.6, which significantly (p0.001) exceeded score in comparable groups B (6.42+/-2.3) and C (5.31+/-1.9). The Cronbachs alfa of the total and the in continence, storage/voiding, and consequences domains was 0.939, 0,965, 0,801 and 0.712 respectively, which confirms the high internal consistency of the Russian version of the NBSS. External validity was verified by the relevant correlations with other questionnaires. Test-retest reliability was excellent. The interclass correlation coefficients were0.85 (p0.001) for all subdomains and the overall score.The Russian version of the NBSS demonstrated good validity and reliability and may be recommended for use in clinical practice.
Published: 2019

5. [COMPOSITION OF POPULATION OF DIPHTHERIA CAUSATIVE AGENT STRAINS IN RUSSIA]

Author: L A, Chagina, O Yu, Borisova, L I, Kafarskaya, S S, Afanasiev, V A, Aleshkin, Yu V, Nesvizhsky, M S, Afanasiev, A V, Aleshkin, E V, Yusuf, T L, Moskvina, L I, Ponomareva, and A V, Karaulov
Subjects: Male, Genotype, Genotyping Techniques, Corynebacterium diphtheriae, Humans, Diphtheria, Female, Phylogeny, Russia
Abstract: Characteristics of clonal composition of Corynebacterium diphtheriae strain population in Russia using MLST, as well as evaluation of a possibility of using of this method during execu- tion of monitoring of diphtheria infection causative agent strains.C. diph- theriae strains, isolated in Russia in 1957 - 2015 and sent to Gabrichevsky MRIEM reference centre for diphtheria and pertussis, were studied. Gentyping of C. diphtheriae using MLST was carried out based on sequencing ofhousekeepinggene fragments. ST identification was carried out according to PubMLST Result. C. diphtheriae strains of 36 sequence-types (ST) were identi- fied on the territory of Russia - 27 previously known and 9 novel, detected for the first time. 2 sequence types ST25 and ST8 (22% and 18%) dominated. Inter-relation between phenotype. properties (toxigenicity. and biovar) and membership of C. diphtheriae strains in certain sequence- types was shown - toxigenic and non-toxigenic C. diphtheriae strains of various biovars were characterized by certain sequence-types. Changes of clonal composition of C. diphtheriae popula- tion in dynamics of epidemic process of diphtheria infection were.shown.Use of MLST allowed to characterized clonal composition of C. diphtheriae strains' population in Russia and has shown perspectives of use of this method to characterize population of diphtheria causative agent, detect epidemically significant strains and decipher foci of diphtheria infection.
Published: 2019

6. Improvement of measures to ensure safe working conditions for staff of the bureau of forensic medicine

Author: A. R. Abdrakhmanov, N V Morozyuk, M. I. Timerzyanov, E V Chugunova, P V Minaeva, and E. N. Moskvina
Subjects: medicine.medical_specialty, Medical education, General Medicine, Computer-assisted web interviewing, Forensic Medicine, Forensic science, Tatarstan, Workflow, Work (electrical), Surveys and Questionnaires, Epidemiology, medicine, Humans, Workplace, Psychology, Occupational Health
Abstract: Employees of the Bureau of Forensic Medicine (BFM) are exposed to various harmful and dangerous workplace factors during their work. The objective of the study is to improve measures to maintain a safe epidemiological situation in the experience of the BFM of the Republic of Tatarstan based on the results of an online questionnaire survey of employees, which included parts on the assessment of health, working conditions, and morbidity, including tuberculosis. The detailed analysis of the responses made it possible to determine a set of measures to improve the BFM workflow and health status of employees.Сотрудники бюро судебно-медицинской экспертизы (БСМЭ) в ходе выполнения своих профессиональных обязанностей сталкиваются со множеством вредных и опасных производственных факторов. Цель исследования — совершенствование мероприятий по поддержанию безопасной санитарно-эпидемиологической обстановки на опыте БСМЭ Республики Татарстан по результатам проведенного онлайн-анкетирования сотрудников, включавшего разделы по оценке состояния здоровья, условий труда и заболеваемости, в том числе туберкулезом. Приведены результаты подробного анализа полученных ответов, позволившие сформулировать комплекс мероприятий в БСМЭ по совершенствованию рабочего процесса и показателей здоровья сотрудников.
Published: 2021

7. Common Variants at Abca7, Ms4A6A/Ms4A4E, Epha1, Cd33 and Cd2Ap Are Associated with Alzheimer'S Disease

Author: Neill R. Graff-Radford, Caroline S. Widdowson, John Hardy, Simon Lovestone, Stefan Schreiber, Ana Frank-García, Amy Gerrish, Kevin Mayo, Alexandra Stretton, Michael John Owen, Minerva M. Carrasquillo, Seth Love, Jade Chapman, Vincent Chouraki, Monique M.B. Breteler, Francesco Panza, Emma R L C Vardy, Ronald C. Petersen, Harald Hampel, S. Nicolhaus, Lenore J. Launer, Michelle K. Lupton, Eckart Rüther, A. David Smith, David C. Rubinsztein, Rebecca Sims, Gill Livingston, Diana Zelenika, Simon Mead, Martin N. Rossor, Hilkka Soininen, Christine Van Broeckhoven, Kristel Sleegers, Thorlakur Jonsson, M. Arfan Ikram, Helen Beaumont, Michael Conlon O'Donovan, Federico Licastro, Sudha Seshadri, Alexander Richards, Nick C. Fox, Markus M. Nöthen, Claudine Berr, T. Feulner, Benedetta Nacmias, Carlos Cruchaga, Peter Passmore, Oscar L. Lopez, Julie Williams, Matthias Riemenschneider, Florence Pasquier, John Gallacher, Didier Hannequin, Sigrid Botne Sando, Jens Wiltfang, Charlene Thomas, Gabriele Siciliano, Maria Barcikowska, Mikko Hiltunen, Carol Brayne, Dobril Ivanov, Anita L. DeStefano, Bernadette McGuinness, Norman Klopp, Gordon K. Wilcock, Aoibhinn Lynch, Wolfgang Maier, Peter Holmans, H.-Erich Wichmann, Giorgio Annoni, Beatrice Arosio, Alison Goate, Sigurbjorn Bjornsson, Karl-Heinz Jöckel, Dan Rujescu, Hugh Gurling, Nigel M. Hooper, Clive Holmes, Andrew McQuillin, Patricia Friedrich, John Powell, Rhian Gwilliam, R. Heun, Jacques Epelbaum, Isabella Heuser, Magda Tsolaki, Dennis W. Dickson, Alberto Pilotto, Stephen Todd, Dominique Campion, Michael Krawczak, Jan O. Aasly, Olivier Hanon, Patrick G. Kehoe, Johannes Kornhuber, Marc Delepine, Peter Paul De Deyn, Britta Schürmann, Brian A. Lawlor, Christophe Tzourio, Richard Abraham, Petra Nowotny, Jean-François Dartigues, Heike Kölsch, Michelangelo Mancuso, Marian L. Hamshere, Zbigniew K. Wszolek, Paola Piccardi, Paolo Bosco, Jean-Charles Lambert, Denise Harold, Frank Jessen, Palmi V. Jonsson, Paola Bossù, Paul Hollingworth, Jon Snaedal, Michael Gill, Onofre Combarros, David M. A. Mann, John C. Morris, Annette L. Fitzpatrick, Christopher Shaw, Alexis Brice, Philippe Amouyel, Elio Scarpini, Lesley Jones, Sebastiaan Engelborghs, Daniela Galimberti, Vincenzo Solfrizzi, V. Shane Pankratz, John Collinge, María J. Bullido, Kristelle Brown, Nicholas Bass, Andrew B. Singleton, Jaspreet Singh Pahwa, Kari Stefansson, Lutz Frölich, Steven G. Younkin, Ignacio Mateo, Annick Alpérovitch, Benjamin Genier-Boley, Ina Giegling, Caterina Riehle, Kimberley Dowzell, Mark Lathrop, Hreinn Stefansson, Sandro Sorbi, Rita Guerreiro, Thomas W. Mühleisen, Karolien Bettens, Michael Hüll, Martin Dichgans, Petroula Proitsi, Panagiotis Deloukas, Valentina Moskvina, Cornelia M. van Duijn, Donald Warden, Victoria Alvarez, Eliecer Coto, Kevin Morgan, Susanne Moebus, Ammar Al-Chalabi, Elisa Porcellini, Stefan Wagenpfeil, Hendrik van den Bussche, John S. K. Kauwe, Stacy Steinberg, David Craig, Nicola Jones, Manuel Mayhaus, Davide Seripa, Neurology, NCA - Neurodegeneration, HOLLINGWORTH P, HAROLD D, SIMS R, GERRISH A, LAMBERT JC, CARRASQUILLO MM, ABRAHAM R, HAMSHERE ML, PAHWA JS, MOSKVINA V, DOWZELL K, JONES N, STRETTON A, THOMAS C, RICHARDS A, IVANOV D, WIDDOWSON C, CHAPMAN J, LOVESTONE S, POWELL J, PROITSI P, LUPTON MK, BRAYNE C, RUBINSZTEIN DC, GILL M, LAWLOR B, LYNCH A, BROWN KS, PASSMORE PA, CRAIG D, MCGUINNESS B, TODD S, HOLMES C, MANN D, SMITH AD, BEAUMONT H, WARDEN D, WILCOCK G, LOVE S, KEHOE PG, HOOPER NM, VARDY ER, HARDY J, MEAD S, FOX NC, ROSSOR M, COLLINGE J, MAIER W, JESSEN F, RÜTHER E, SCHÜRMANN B, HEUN R, KÖLSCH H, VAN DEN BUSSCHE H, HEUSER I, KORNHUBER J, WILTFANG J, DICHGANS M, FRÖLICH L, HAMPEL H, GALLACHER J, HÜLL M, RUJESCU D, GIEGLING I, GOATE AM, KAUWE JS, CRUCHAGA C, NOWOTNY P, MORRIS JC, MAYO K, SLEEGERS K, BETTENS K, ENGELBORGHS S, DE DEYN PP, VAN BROECKHOVEN C, LIVINGSTON G, BASS NJ, GURLING H, MCQUILLIN A, GWILLIAM R, DELOUKAS P, AL-CHALABI A, SHAW CE, TSOLAKI M, SINGLETON AB, GUERREIRO R, MÜHLEISEN TW, NÖTHEN MM, MOEBUS S, JÖCKEL KH, KLOPP N, WICHMANN HE, PANKRATZ VS, SANDO SB, AASLY JO, BARCIKOWSKA M, WSZOLEK ZK, DICKSON DW, GRAFF-RADFORD NR, PETERSEN RC, ALZHEIMER'S DISEASE NEUROIMAGING INITIATIVE, VAN DUIJN CM, BRETELER MM, IKRAM MA, DESTEFANO AL, FITZPATRICK AL, LOPEZ O, LAUNER LJ, SESHADRI S, CHARGE CONSORTIUM, BERR C, CAMPION D, EPELBAUM J, DARTIGUES JF, TZOURIO C, ALPÉROVITCH A, LATHROP M, EADI1 CONSORTIUM, FEULNER TM, FRIEDRICH P, RIEHLE C, KRAWCZAK M, SCHREIBER S, MAYHAUS M, NICOLHAUS S, WAGENPFEIL S, STEINBERG S, STEFANSSON H, STEFANSSON K, SNAEDAL J, BJÖRNSSON S, JONSSON PV, CHOURAKI V, GENIER-BOLEY B, HILTUNEN M, SOININEN H, COMBARROS O, ZELENIKA D, DELEPINE M, BULLIDO MJ, PASQUIER F, MATEO I, FRANK-GARCIA A, PORCELLINI E, HANON O, COTO E, ALVAREZ V, BOSCO P, SICILIANO G, MANCUSO M, PANZA F, SOLFRIZZI V, NACMIAS B, SORBI S, BOSSÙ P, PICCARDI P, AROSIO B, ANNONI G, SERIPA D, PILOTTO A, SCARPINI E, GALIMBERTI D, BRICE A, HANNEQUIN D, LICASTRO F, JONES L, HOLMANS PA, JONSSON T, RIEMENSCHNEIDER M, MORGAN K, YOUNKIN SG, OWEN MJ, O'DONOVAN M, AMOUYEL P, WILLIAMS J, Epidemiology, Radiology & Nuclear Medicine, Clinical sciences, Pathologic Biochemistry and Physiology, Hollingworth, P, Harold, D, Sims, R, Gerrish, A, Lambert, J, Carrasquillo, M, Abraham, R, Hamshere, M, Pahwa, J, Moskvina, V, Dowzell, K, Jones, N, Stretton, A, Thomas, C, Richards, A, Ivanov, D, Widdowson, C, Chapman, J, Lovestone, S, Powell, J, Proitsi, P, Lupton, M, Brayne, C, Rubinsztein, D, Gill, M, Lawlor, B, Lynch, A, Brown, K, Passmore, P, Craig, D, Mcguinness, B, Todd, S, Holmes, C, Mann, D, Smith, A, Beaumont, H, Warden, D, Wilcock, G, Love, S, Kehoe, P, Hooper, N, Vardy, E, Hardy, J, Mead, S, Fox, N, Rossor, M, Collinge, J, Maier, W, Jessen, F, Rüther, E, Schürmann, B, Heun, R, Kölsch, H, van den Bussche, H, Heuser, I, Kornhuber, J, Wiltfang, J, Dichgans, M, Frölich, L, Hampel, H, Gallacher, J, Hüll, M, Rujescu, D, Giegling, I, Goate, A, Kauwe, J, Cruchaga, C, Nowotny, P, Morris, J, Mayo, K, Sleegers, K, Bettens, K, Engelborghs, S, De Deyn, P, Van Broeckhoven, C, Livingston, G, Bass, N, Gurling, H, Mcquillin, A, Gwilliam, R, Deloukas, P, Al Chalabi, A, Shaw, C, Tsolaki, M, Singleton, A, Guerreiro, R, Mühleisen, T, Nöthen, M, Moebus, S, Jöckel, K, Klopp, N, Wichmann, H, Pankratz, V, Sando, S, Aasly, J, Barcikowska, M, Wszolek, Z, Dickson, D, Graff Radford, N, Petersen, R, van Duijn, C, Breteler, M, Ikram, M, Destefano, A, Fitzpatrick, A, Lopez, O, Launer, L, Seshadri, S, Berr, C, Campion, D, Epelbaum, J, Dartigues, J, Tzourio, C, Alpérovitch, A, Lathrop, M, Feulner, T, Friedrich, P, Riehle, C, Krawczak, M, Schreiber, S, Mayhaus, M, Nicolhaus, S, Wagenpfeil, S, Steinberg, S, Stefansson, H, Stefansson, K, Snædal, J, Björnsson, S, Jonsson, P, Chouraki, V, Genier Boley, B, Hiltunen, M, Soininen, H, Combarros, O, Zelenika, D, Delepine, M, Bullido, M, Pasquier, F, Mateo, I, Frank Garcia, A, Porcellini, E, Hanon, O, Coto, E, Alvarez, V, Bosco, P, Siciliano, G, Mancuso, M, Panza, F, Solfrizzi, V, Nacmias, B, Sorbi, S, Bossù, P, Piccardi, P, Arosio, B, Annoni, G, Seripa, D, Pilotto, A, Scarpini, E, Galimberti, D, Brice, A, Hannequin, D, Licastro, F, Jones, L, Holmans, P, Jonsson, T, Riemenschneider, M, Morgan, K, Younkin, S, Owen, M, O'Donovan, M, Amouyel, P, and Williams, J
Subjects: Male, ABCA7 protein, human, ATP-Binding Cassette Transporters/genetics, Sialic Acid Binding Ig-like Lectin 3, CD33, SORL1, Medizin, genetics [Alzheimer Disease], Adaptor Proteins, Signal Transducing/genetics, Disease, PICALM, ABCA7, Disease susceptibility, 0302 clinical medicine, genetics [Adaptor Proteins, Signal Transducing], Databases, Genetic, GWAS, GENE-EXPRESSION, Medicine(all), Aged, 80 and over, Genetics, 0303 health sciences, Alzheimer's disease, genetic predisposition, Receptor, EphA1, ALZHEIMER’S DISEASE, Antigens, CD/genetics, genetics [Receptor, EphA1], genetics [Membrane Proteins], Multigene Family, Female, genetics [Antigens, Differentiation, Myelomonocytic], APOE, Antigens, Differentiation, Myelomonocytic, Single-nucleotide polymorphism, Case-control studies, Cytoskeletal Proteins/genetics, Biology, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, CD33 protein, human, Alzheimer Disease, Antigens, CD, ddc:570, Humans, Genetic Predisposition to Disease, Membrane Proteins/genetics, CLUSTERIN, Aged, genetics [Cytoskeletal Proteins], Adaptor Proteins, Signal Transducing, 030304 developmental biology, Alzheimer Disease/genetics, Antigens, Differentiation, Myelomonocytic/genetics, Genetic Variation, Membrane Proteins, CD2-associated protein, genetics [Antigens, CD], Cytoskeletal Proteins, MS4A4E protein, human, Case-Control Studies, Susceptibility locus, biology.protein, ATP-Binding Cassette Transporters, Human medicine, genetics [ATP-Binding Cassette Transporters], aged, 80 and over, Receptor, EphA1/genetics, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: We sought to identify new susceptibility loci for Alzheimer's disease through a staged association study (GERAD+) and by testing suggestive loci reported by the Alzheimer's Disease Genetic Consortium (ADGC) in a companion paper. We undertook a combined analysis of four genome-wide association datasets (stage 1) and identified ten newly associated variants with P ĝ‰Currency sign 1 × 10 -5. We tested these variants for association in an independent sample (stage 2). Three SNPs at two loci replicated and showed evidence for association in a further sample (stage 3). Meta-analyses of all data provided compelling evidence that ABCA7 (rs3764650, meta P = 4.5 × 10 -17; including ADGC data, meta P = 5.0 × 10 -21) and the MS4A gene cluster (rs610932, meta P = 1.8 × 10 -14; including ADGC data, meta P = 1.2 × 10 -16) are new Alzheimer's disease susceptibility loci. We also found independent evidence for association for three loci reported by the ADGC, which, when combined, showed genome-wide significance: CD2AP (GERAD+, P = 8.0 × 10 -4; including ADGC data, meta P = 8.6 × 10 -9), CD33 (GERAD+, P = 2.2 × 10 -4; including ADGC data, meta P = 1.6 × 10 -9) and EPHA1 (GERAD+, P = 3.4 × 10 -4; including ADGC data, meta P = 6.0 × 10 -10). © 2011 Nature America, Inc. All rights reserved.
Published: 2011

8. Neuropeptides, Cytokines and Thymus Peptides as Effectors of Interactions Between Thymus and Neuroendocrine System

Author: O. V. Belova, Moskvina Sn, Torkhovskaya Ti, Arion Vy, O. V. Bystrova, V. I. Sergienko, Zimina, and Kryuchkova Av
Subjects: Central Nervous System, Nervous system, Neuroimmunomodulation, Effector, medicine.medical_treatment, Neuropeptides, Central nervous system, Neuropeptide, Thymus Gland, General Medicine, Biology, Neurosecretory Systems, Cell biology, medicine.anatomical_structure, Cytokine, Immunology, medicine, Cytokines, Homeostasis, Humans, Signal transduction, Receptor, Signal Transduction
Abstract: The review presents data on mutual influence of nervous system and thymus, realized through the neuroendocrine-immune interactions. The presence of adrenergic and peptidergic nerves in thymus creates conditions for implementation of the effect of neuropeptides secreted by them. These neuropeptides induce activation of thymus cells receptors and influence on the main processes in thymus, including T-lymphocyte maturation, cytokine and hormones production. In turn, thymus peptides and/or cytokines, controlled by them, enter the brain and exert influence on neuronal function, which creates the basis for changes of behavior and homeostasis maintenance in response to infection. Ageing and some infectious, autoimmune, neurodegenerative and cancer diseases are accompanied by distortion of interactions between thymus and central nervous system. Mechanisms of signaling pathways, which determine these interactions, are not revealed yet, and their understanding will promote the development of effective therapeutic strategies.
Published: 2015

9. [Fatty acid synthase in the diagnosis of prostate neoplasms]

Author: Yu Yu Andreeva, L V Moskvina, Daria Allina, L E Zavalishina, and G A Frank
Subjects: 0301 basic medicine, Adult, Male, medicine.medical_treatment, Racemases and Epimerases, Adenocarcinoma, Pathology and Forensic Medicine, Diagnosis, Differential, 03 medical and health sciences, Prostate cancer, 0302 clinical medicine, Prostate, Medicine, Humans, Aged, Prostatic Intraepithelial Neoplasia, Intraepithelial neoplasia, biology, business.industry, Prostatectomy, Cancer, Prostatic Neoplasms, Middle Aged, medicine.disease, Fatty Acid Synthase, Type I, Gene Expression Regulation, Neoplastic, Fatty acid synthase, 030104 developmental biology, medicine.anatomical_structure, Biochemistry, 030220 oncology & carcinogenesis, Cancer research, biology.protein, Prostate neoplasm, business
Abstract: The differential diagnosis of benign and malignant changes in the prostate presents still definite difficulties; the antibody panel existing for these purposes is imperfect. Fatty acid synthase (FASN) is an androgen-regulated enzyme required for de novo lipogenesis. A number of studies have noted increased expression of the gene encoding this protein in tumors and precancerous lesions of different locations.Тo estimate the diagnostic value of analyzing the expression of FASN in prostate neoplasias.Surgical specimens were selected for study from 71 patients with prostate cancer during radical prostatectomy. An immunohistochemical method was used to analyze FASN expression.The expression of FASN was observed to be moderate or intensive in adenocarcinoma and high-grade prostatic intraepithelial neoplasia (hPIN) in all the study samples while 2 cases showed none and weak expression of AMACR. In benign lesions, the expression of this protein was identified only in 3 cases and it was characterized by a low-intensity staining.The study has shown that the high frequency of FASN expression in hPIN and cancer and no expression in most structures of benign hyperplasia make it possible to use this protein as an additional marker in the differential diagnosis of prostatic neoplasms.Дифференциальный диагноз доброкачественных и злокачественных изменений предстательной железы до сих пор представляет определенные трудности, существующая для этих целей панель антител является несовершенной. FASN - андрогенрегулируемый фермент, необходимый для de novo липогенеза. Ранее в ряде работ отмечено повышение экспрессии гена, кодирующего данный белок, в опухолях и предопухолевых поражениях различных локализаций. Цель работы - оценка диагностической значимости анализа экспрессии FASN в неоплазиях предстательной железы. Материал и методы. Для исследования отобран операционный материал радикальной простатэктомии 71 больного раком предстательной железы. Анализ экспрессии FASN проводился иммуногистохимическим методом. Результаты. Экспрессия FASN была отмечена в аденокарциноме и в простатической интраэпителиальной неоплазии высокой степени (вПИН) во всех исследованных образцах (умеренной интенсивности или выраженная), при этом в двух наблюдениях при отсутствии или слабой экспрессии AMACR. В доброкачественных поражениях экспрессия данного белка выявлена только в трех случаях и характеризовалась низкой интенсивностью окрашивания. Заключение. В результате проведенного исследования отмечено, что высокая частота экспрессии FASN в вПИН и раке, а также отсутствие экспрессии в большинстве структур доброкачественной гиперплазии позволяют использовать данный белок в качестве дополнительного маркера в дифференциальной диагностике новообразований предстательной железы.
Published: 2017

10. Variability in Working Memory Performance Explained by Epistasis vs Polygenic Scores in the ZNF804A Pathway

Author: Nicodemus, Kk, Hargreaves, A, Morris, D, Anney, R, Gill, M, Corvin, A, Donohoe, G, Ripke, S, Sanders, Ar, Kendler, Ks, Levinson, Df, Sklar, P, Holmans, Pa, Lin, Dy, Duan, J, Ophoff, Ra, Andreassen, Oa, Scolnick, E, Cichon, S, Clair, St, D, Gurling, H, Werge, T, Rujescu, D, Blackwood, Dh, Pato, Cn, Malhotra, Ak, Purcell, S, Dudbridge, F, Neale, Bm, Rossin, L, Visscher, Pm, Posthuma, D, Ruderfer, Dm, Fanous, A, Stefansson, H, Steinberg, S, Mowry, Bj, Golimbet, V, Hert, De, M, Jönsson, Eg, Bitter, I, Pietiläinen, Op, Collier, Da, Tosato, Sarah, Agartz, I, Albus, M, Alexander, M, Amdur, Rl, Amin, F, Bass, N, Bergen, Se, Black, Dw, Børglum, Ad, Brown, Ma, Bruggeman, R, Buccola, Ng, Byerley, Wf, Cahn, W, Cantor, Rm, Carr, Vj, Catts, Sv, Choudhury, K, Cloninger, C, Cormican, P, Craddock, N, Danoy, Pa, Datta, S, Haan, De, L, Demontis, D, Dikeos, D, Djurovic, S, Donnelly, P, Duong, L, Dwyer, S, Fink Jensen, A, Freedman, R, Freimer, Nb, Friedl, M, Georgieva, L, Giegling, I, Glenthøj, B, Godard, S, Hamshere, M, Hansen, M, Hansen, T, Hartmann, Am, Henskens, Fa, Hougaard, Dm, Hultman, Cm, Ingason, A, Jablensky, Av, Jakobsen, Kd, Jay, M, Jürgens, G, Kahn, Rs, Keller, Mc, Kenis, G, Kenny, E, Kim, Y, Kirov, Gk, Konnerth, H, Konte, B, Krabbendam, L, Krasucki, R, Lasseter, Vk, Laurent, C, Lawrence, J, Lencz, T, Lerer, F, Liang, Ky, Lichtenstein, P, Lieberman, Ja, Linszen, Dh, Lönnqvist, J, Loughland, Cm, Maclean, Aw, Maher, Bs, Maier, W, Mallet, J, Malloy, P, Mattheisen, M, Mattingsdal, M, Mcghee, Ka, Mcgrath, Jj, Mcintosh, A, Mclean, De, Mcquillin, A, Melle, I, Michie, Pt, Milanova, V, Morris, Dw, Mors, O, Mortensen, Pb, Moskvina, V, Muglia, P, Myin Germeys, I, Nertney, Da, Nestadt, G, Nielsen, J, Nikolov, I, Nordentoft, M, Norton, N, Nöthen, Mm, O'Dushlaine, Ct, Olincy, A, Olsen, L, O'Neill, F, Ørntoft, Tf, Owen, Mj, Pantelis, C, Papadimitriou, G, Pato, Mt, Peltonen, L, Petursson, H, Pickard, B, Pimm, J, Pulver, Ae, Puri, V, Quested, D, Quinn, Em, Rasmussen, Hb, Réthelyi, Jm, Ribble, R, Rietschel, M, Riley, Bp, Ruggeri, Mirella, Schall, U, Schulze, Tg, Schwab, Sg, Scott, Rj, Shi, J, Sigurdsson, E, Silverman, Jm, Spencer, Cc, Stefansson, K, Strange, A, Strengman, E, Stroup, T, Suvisaari, J, Terenius, L, Thirumalai, S, Thygesen, Jh, Timm, S, Toncheva, D, Van, Den, Oord, E, Van, Os, Van, J, Winkel, R, Veldink, J, Walsh, D, Wang, Ag, Wiersma, D, Wildenauer, Db, Williams, Hj, Williams, Nm, Wormley, B, Zammit, S, Sullivan, Pf, O'Donovan, Mc, Daly, Mj, Gejman, P., Functional Genomics, Complex Trait Genetics, De Hert, Marc, Myin-Germeys, Inez, van Winkel, Ruud, Psychiatrie & Neuropsychologie, RS: MHeNs - R2 - Mental Health, Amsterdam Neuroscience, and Adult Psychiatry
Subjects: epistasis, Male, Multifactorial Inheritance, polygenic, Neuropsychological Tests, involvement, 0302 clinical medicine, Neural Pathways, 2.1 Biological and endogenous factors, Psychology, schizophrenia risk, psychosis variant, Aetiology, 0303 health sciences, susceptibility gene znf804a, medicine.diagnostic_test, phenotypes, Zinc Fingers, Neuropsychological test, Single Nucleotide, Middle Aged, Serious Mental Illness, Psychiatry and Mental health, Memory, Short-Term, Mental Health, Schizophrenia, Major depressive disorder, Female, Cognitive Sciences, social and economic factors, Adult, medicine.medical_specialty, Psychosis, working memory, schizophrenia, IQ, Schizoaffective disorder, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, Gene interaction, Genetic, Social cognition, Memory, Clinical Research, 2.3 Psychological, Behavioral and Social Science, medicine, Genetics, Humans, Genetic Predisposition to Disease, Bipolar disorder, Polymorphism, Psychiatry, 030304 developmental biology, Other Medical and Health Sciences, Prevention, Wellcome Trust Case Control Consortium 2, Neurosciences, Genetic Variation, Epistasis, Genetic, Schizophrenia Psychiatric Genome-wide Association Study (GWAS) Consortium, medicine.disease, attention, Brain Disorders, deficits, Short-Term, Psychotic Disorders, genome-wide association, Epistasis, healthy controls, identification, Cognition Disorders, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: IMPORTANCE We investigated the variation in neuropsychological function explained by risk alleles at the psychosis susceptibility gene ZNF804A and its interacting partners using single nucleotide polymorphisms (SNPs), polygenic scores, and epistatic analyses. Of particular importance was the relative contribution of the polygenic score vs epistasis in variation explained. OBJECTIVES To (1) assess the association between SNPs in ZNF804A and the ZNF804A polygenic score with measures of cognition in cases with psychosis and (2) assess whether epistasis within the ZNF804A pathway could explain additional variation above and beyond that explained by the polygenic score. DESIGN, SETTING, AND PARTICIPANTS Patients with psychosis (n = 424)were assessed in areas of cognitive ability impaired in schizophrenia including IQ, memory, attention, and social cognition.We used the Psychiatric GWAS Consortium 1 schizophrenia genome-wide association study to calculate a polygenic score based on identified risk variants within this genetic pathway. Cognitive measures significantly associated with the polygenic score were tested for an epistatic component using a training set (n = 170), which was used to develop linear regression models containing the polygenic score and 2-SNP interactions. The best-fitting models were tested for replication in 2 independent test sets of cases: (1) 170 individuals with schizophrenia or schizoaffective disorder and (2) 84 patients with broad psychosis (including bipolar disorder, major depressive disorder, and other psychosis). MAIN OUTCOMES AND MEASURES Participants completed a neuropsychological assessment battery designed to target the cognitive deficits of schizophrenia including general cognitive function, episodic memory, working memory, attentional control, and social cognition. RESULTS Higher polygenic scores were associated with poorer performance among patients on IQ, memory, and social cognition, explaining 1%to 3%of variation on these scores (range, P = .01 to .03). Using a narrow psychosis training set and independent test sets of narrow phenotype psychosis (schizophrenia and schizoaffective disorder), broad psychosis, and control participants (n = 89), the addition of 2 interaction terms containing 2 SNPs each increased the R2 for spatial working memory strategy in the independent psychosis test sets from 1.2%using the polygenic score only to 4.8%(P = .11 and .001, respectively) but did not explain additional variation in control participants. CONCLUSIONS AND RELEVANCE These data support a role for the ZNF804A pathway in IQ, memory, and social cognition in cases. Furthermore, we showed that epistasis increases the variation explained above the contribution of the polygenic score. © 2014 American Medical Association. All rights reserved.
Published: 2014

11. Novel Mammalian orthorubulavirus 5 Discovered as Accidental Cell Culture Contaminant

Author: Aleksey A. Penin, T. I. Aliper, A G Yuzhakov, Deepak Kumar, Kizkhalum M. Khametova, Maria I. Musienko, Anna S. Moskvina, Douglas Marthaler, K P Alekseev, A D Zaberezhny, Brandi J. Feehan, and Alexey N. Mukhin
Subjects: 0301 basic medicine, 040301 veterinary sciences, lcsh:QR1-502, Genome, Viral, Biology, Mammalian orthorubulavirus 5, lcsh:Microbiology, Cell Line, Russia, Microbiology, 0403 veterinary science, 03 medical and health sciences, Cytopathogenic Effect, Viral, Virology, Chlorocebus aethiops, Animals, Humans, Lack of knowledge, Vero Cells, Phylogeny, Cytopathic effect, Mammals, Whole Genome Sequencing, Communication, Strain (biology), Mammalian rubulavirus 5, Rubulavirus Infections, 04 agricultural and veterinary sciences, 030104 developmental biology, Infectious Diseases, Cell culture, Parainfluenza Virus 5, Identification (biology), Parainfluenza virus 5
Abstract: A distinct Russian Mammalian orthorubulavirus 5 (PIV5) was detected in cell culture exhibiting cytopathic effect and hypothesized to be contaminated by a scientist with respiratory symptoms. The identification of the divergent strain indicated a lack of knowledge on the diversity of PIV5 strains and calls for surveillance of global PIV5 strains.
Published: 2019

12. Study of the PD-L1 status in breast cancer, by using the SP142 monoclonal antibody, and the prospects for determining treatment policy

Author: L V Moskvina, O A Kuznetsova, L E Zavalishina, Yu Yu Andreeva, and G A Frank
Subjects: 0301 basic medicine, Oncology, medicine.medical_specialty, medicine.drug_class, medicine.medical_treatment, Breast Neoplasms, Monoclonal antibody, B7-H1 Antigen, Pathology and Forensic Medicine, Metastasis, 03 medical and health sciences, 0302 clinical medicine, Breast cancer, Internal medicine, PD-L1, Biomarkers, Tumor, medicine, Humans, Chemotherapy, biology, business.industry, Prognosis, medicine.disease, Primary tumor, Neoadjuvant Therapy, 030104 developmental biology, 030220 oncology & carcinogenesis, biology.protein, Female, Antibody, business, Adjuvant
Abstract: To investigate the expression of programmed death ligand 1 (PD-L1) in triple-negative and luminal B, HER2-negative breast cancer, by using the SP142 antibody and to assess the association of the PD-L1 status with prognosis for patients.The study was conducted using surgical materials (full sections) obtained from 72 patients. The sections were stained with the SP142 PD-L1 antibody.Differences were found in the detection rates of the PD-L1-positive status in the primary tumor and regional metastasis (primary tumor in 26 (36.1%) cases and metastasis in 18 (47.4%) of the 38 cases). By and large, the PD-L1-positive status was less common in the patients receiving neoadjuvant chemotherapy (25.8% versus 53.7%); however, it should be noted that the PD-L1-positive status was more often detected in those who had a higher residual cancer burden (RCB) (RCB-III versus RCB-II).Considering the findings, it is necessary to clarify the status of not only a primary focus, but also clinically significant metastases, especially if the primary tumor has yielded a negative result. The patients with disease progression who receive standard therapy regimens may have a chance for a good result when using PD-1/PD-L1 blockers. At the same time, the association of the PD-L1 status with RCB may affect the choice of adjuvant treatment policy.Цель исследования - изучить экспрессию PD-L1 в тройном негативном и люминальном B, HER2-негативном раке молочной железы при использовании антитела SP142 и оценить связь PD-L1-статуса с прогнозом для больных. Материал и методы. Исследование проведено на операционном материале (полные срезы), полученном от 72 пациентов. Срезы окрашивали антителом PD-L1 SP142. Результаты. Обнаружили различия в выявляемости позитивного PD-L1-статуса первичной опухоли и регионарного метастаза (первичной опухоли в 26 (36,1%) наблюдениях, метастаза в 18 (47,4%) из 38). У больных, получавших неоадъювантное лечение химиотерапевтическими препаратами, в целом реже определяли положительный PD-L1-статус (25,8% против 53,7%), однако следует отметить, что в случае с более высокой остаточной опухолевой нагрузкой (RCBIII по сравнению с RCBII) чаще выявляли позитивный PD-L1-статус. Выводы. Учитывая полученные данные, следует уточнять статус не только первичного очага, но и клинически значимых метастазов, особенно если в первичной опухоли был получен отрицательный результат. Больные с прогрессированием заболевания на стандартных схемах терапии могут иметь шанс на хороший результат при использовании блокаторов PD-1/PD-L1. При этом связь PD-L1-статуса с остаточной опухолевой нагрузкой может повлиять на выбор лечебной тактики в адъювантном режиме.
Published: 2019

13. Smooth muscle tumors of uncertain malignant potential

Author: L V Moskvina, T. V. Kekeeva, A I Zhevlova, O. V. Babenko, Yu L Podberezina, I. O. Kulik, M.M. Davydov, Yu Yu Andreeva, G A Frank, Yu. G. Payanidi, Ivan Stilidi, and L E Zavalishina
Subjects: Adult, Leiomyosarcoma, 0301 basic medicine, Pathology, medicine.medical_specialty, Pathology and Forensic Medicine, 03 medical and health sciences, 0302 clinical medicine, Leiomyomatosis, Humans, Medicine, Smooth Muscle Tumor, business.industry, Microsatellite instability, Middle Aged, Prognosis, medicine.disease, Intravenous leiomyomatosis, 030104 developmental biology, Leiomyoma, 030220 oncology & carcinogenesis, Uterine Neoplasms, Immunohistochemistry, Female, business, Disseminated Peritoneal Leiomyomatosis
Abstract: To investigate microsatellite instability in smooth muscle tumors of uncertain malignant potential and to compare the results with clinical and morphological data.Histological and immunohistochemical studies were conducted in 26 patients aged 30-63 years (mean age, 37 years) with leiomyomatosis; which revealed intravenous leiomyomatosis in 20 cases, metastasizing leiomyoma in 2, disseminated peritoneal leiomyomatosis in 3, and smooth muscle tumor of uncertain malignant potential in 1 case. Microsatellite instability was studied by fragment analysis on a genetic analyzer using a test system of six markers: D10S1146, D10S218, D10S24, D10S1213, D3S1295, and D9S942.Microsatellite repeat changes characteristic of leiomyosarcomas (heterozygosity loss and/or microsatellite instability in at least one locus studied) were found in 6 patients; all were clinically and morphologically diagnosed as having intravenous leiomyomatosis. In 3 of these 6 cases, leiomyomatosis was accompanied by metastases to the lungs and spread to the peritoneum; heart damage was noted in 2 cases. The data analysis did not allow identification of any significant clinical and morphological criteria for this group.Leiomyomatosis is not a transitional form from benign leiomyoma to leiomyosarcoma, as evidenced by the difference in the status of molecular markers. Analysis of molecular genetic changes in DNA from tumor tissue samples cannot categorically clarify the nature of the disease by identifying the signs of genetic instability; however, there is a need for further accumulation of experience in studying tumors of this group and in identifying the possible association with disease prognosis.Цель - исследование микросателлитной нестабильности в гладкомышечных опухолях с неопределенным злокачественным потенциалом и сопоставление с клинико-морфологическими данными. Материал и методы. У 26 пациенток с лейомиоматозом в возрасте 30-63 лет (средний возраст 37 лет) проведены гистологическое и иммуногистохимическое исследования, установлены интравенозный лейомиоматоз в 20 случаях, метастазирующая лейомиома в 2, диссеминированный перитонеальный лейомиоматоз в 3, гладкомышечная опухоль с неопределенным потенциалом злокачественности в 1 случае. Исследование микросателлитной нестабильности проводили методом фрагментного анализа на генетическом анализаторе с использованием тест-системы из шести маркеров: D10S1146, D10S218, D10S24, D10S1213, D3S1295, D9S942. Результаты. Изменения микросателлитных повторов, характерные для лейомиосарком (потеря гетерозиготности и/или микросателлитная нестабильность хотя бы по одному исследованному локусу), выявлены у 6 пациенток, все с клинико-морфологическим диагнозом интравенозного лейомиоматоза. В 3 из этих 6 случаев лейомиоматоз сопровождался метастазами в легкие и распространением по брюшине, в 2 отмечено поражение сердца. Проведенный анализ данных не позволил выявить каких-либо значимых клинико-морфологических критериев для этой группы. Выводы. Лейомиоматозы не являются 'переходной формой' от доброкачественной лейомиомы к лейомиосаркоме, что подтверждается различием статуса молекулярных маркеров. Анализ молекулярно-генетических изменений ДНК в образцах опухолевой ткани не позволяет категорически уточнить характер заболевания путем выявления признаков генетической нестабильности, однако требуется дальнейшее накопление опыта в изучении опухолей этой группы и выявлении возможной связи с прогнозом заболевания.
Published: 2019

14. Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways

Author: Anita Thapar, Lena Backlund, Lindsey Kent, Walter J. Muir, A. Jeremy Willsey, Sandra K. Loo, Michael Boehnke, Christa Lese Martin, Ania Korszun, Guiomar Oliveira, Veronica J. Vieland, Stephen W. Scherer, René S. Kahn, Darina Czamara, Jeremy R. Parr, Michael E. Goddard, Willem A. Nolen, Josep Antoni Ramos-Quiroga, Stephen Sanders, Karola Rehnstroem, Nelson B. Freimer, Erin N. Smith, Ann Olincy, Ingrid Melle, Myrna M. Weissman, James A. Knowles, William Byerley, Aravinda Chakravarti, Shaun Purcell, Jens Treutlein, Sebastian Zoellner, Hakon Hakonarson, Susanne Lucae, Markus M. Noethen, Ian B. Hickie, Marion Friedl, Srinivasa Thirumalai, Stephen Newhouse, Joseph Piven, Andrew M. McIntosh, Cathryn M. Lewis, Srdjan Djurovic, Francis J. McMahon, Ayman H. Fanous, Bernie Devlin, Steven A. McCarroll, Alan F. Schatzberg, Peter Szatmari, Marta Ribasés, C. Robert Cloninger, Brenda W.J.H. Penninx, Gerard van Grootheest, Phil Lee, Richard Anney, Elaine K. Green, Geraldine Dawson, Joseph A. Sergeant, Digby Quested, Magdalena Gross, Jack D. Barchas, Nicholas G. Martin, Timothy W. Yu, Jouke-Jan Hottenga, Mark Lathrop, Federica Tozzi, Martin Hautzinger, Alysa E. Doyle, Cinnamon S. Bloss, Sandra Meier, Louise Gailagher, David A. Collier, Farooq Amin, Michael C. Neale, Martin Schalling, Lieuwe de Haan, Bru Cormand, Falk W. Lohoff, Jennifer Crosbie, Howard J. Edenberg, Aarno Palotie, Johannes H. Smit, Robert Freedman, Katherine Gordon-Smith, Michele L. Pergadia, Enda M. Byrne, Hans-Christoph Steinhausen, Benjamin M. Neale, Anjali K. Henders, Michele T. Pato, Manuel Mattheisen, Urban Ösby, Edward M. Scolnick, Evaristus A. Nwulia, Fritz Poustka, Gonneke Willemsen, Andrew C. Heath, David St. Cair, Emma M. Quinn, I. Nicol Ferrier, John R. Kelsoe, Vanessa Hus, Andrew McQuillin, John P. Rice, William M. McMahon, Joseph Biederman, Danyu Lin, Wolfgang Maier, Frans G. Zitman, Josephine Elia, Nicholas J. Schork, Stéphane Jamain, Lizzy Rossin, Jubao Duan, Ingrid Agartz, Devin Absher, Jordan W. Smoller, Matthew W. State, Richard M. Myers, Shrikant Mane, Carlos N. Pato, William E. Bunney, Marian L. Hamshere, Manfred Uhr, Nicholas John Craddock, Astrid M. Vicente, Tobias Banaschewski, David Curtis, Anne Farmer, Scott D. Gordon, Anna K. Kaehler, Eric M. Morrow, Marcella Rietschel, Patrik K. E. Magnusson, Klaus-Peter Lesch, Rebecca McKinney, Jana Strohmaier, Thomas F. Wienker, Pablo V. Gejman, Douglas Blackwood, Maria Helena Pinto de Azevedo, Tiffany A. Greenwood, Don H. Linszen, Daniel L. Koller, Richard Bruggeman, Vinay Puri, Naomi R. Wray, Stanley J. Watson, Elena Maestrini, Valentina Moskvina, Frank Dudbridge, Danielle Posthuma, Edward G. Jones, Lambertus Klei, Sarah E. Bergen, Fan Meng, Steven P. Hamilton, Guy A. Rouleau, Pierandrea Muglia, Mikael Landén, Stephanie H. Witt, Laramie E. Duncan, Stanley Zammit, Judith A. Badner, Florian Holsboer, Eco J. C. de Geus, Daniel Moreno-De-Luca, Benjamin S. Pickard, Gunnar Morken, Michael Conlon O'Donovan, Michael Steffens, Kathryn Roeder, Dorret I. Boomsma, Paul D. Shilling, Stephan Ripke, Nigel Williams, Jeremy M. Silverman, David Craig, Mark J. Daly, Michael Bauer, Detelina Grozeva, Markus J. Schwarz, Peter Holmans, Hugh Gurling, T. Scott Stroup, Aribert Rothenberger, Gary Donohoe, Eric Fombonne, Joseph D. Buxbaum, Matthew Flicldnger, Bryan J. Mowry, Thomas Hansen, Ina Giegling, Grant W. Montgomery, Caroline M. Nievergelt, Susan L. Smalley, Jung-Ying Tzeng, David H. Ledbetter, Christopher A. Walsh, Gerard D. Schellenberg, Sarah E. Medland, Robert D. Oades, James B. Potash, Dan E. Arking, Johannes Schumacher, Michael Gill, James J. McGough, Jennifer L. Moran, Donald W. Black, Sian Caesar, Neelroop N. Parikshak, Ian W. Craig, Sabine M. Klauck, Wade H. Berrettini, T. Foroud, Peter P. Zandi, Inez Myin-Germeys, Marcus Ising, Sven Cichon, Alexandre A. Todorov, Mònica Bayés, Thomas Werge, Susan L. Slager, Stanley I. Shyn, Jim van Os, Derek W. Morris, Douglas M. Ruderfer, Thomas W. Muehleisen, Matthew C. Keller, Susmita Datta, Ian Jones, John B. Vincent, James L. Kennedy, Anthony P. Monaco, Jianxin Shi, Dale R. Nyholt, Bruno Etain, Christine Fraser, Paul Cormican, Miguel Casas, Radhika Kandaswamy, Gerome Breen, Stephen V. Faraone, Jonna Kuntsi, Thomas Bettecken, Witte J.G. Hoogendijk, Nancy G. Buccola, Franziska Degenhardt, Lyudmila Georgieva, Marion Leboyer, Alan R. Sanders, John Strauss, Dan Rujescu, Russell Schachar, Helena Medeiros, Lisa Jones, Peter M. Visscher, Lauren A. Weiss, René Breuer, John I. Nurnberger, Andreas Reif, Phoenix Kwan, Vihra Milanova, Chunyu Liu, Martin A. Kohli, Donald J. MacIntyre, Nicholas Bass, Khalid Choudhury, Edwin H. Cook, Catherine Lord, Andrew D. Paterson, Jobst Meyer, Richard P. Ebstein, Zhaoming Zhao, Niklas Laengstroem, Thomas G. Schulze, Peter Propping, Wei Xu, Robert C. Thompson, Kimberly Chambert, Jonathan Pimm, Ivan Nikolov, Pamela A. F. Madden, Kevin A. McGhee, Jacob Lawrence, Jan K. Buitelaar, Andres Ingason, Christine M. Freitag, Robert Krasucki, Wiepke Cahn, Rita M. Cantor, Christina M. Hultman, Melvin G. McInnis, Catalina Betancur, Eftichia Duketis, Michael T. Murtha, Thomas H. Wassink, Philip Asherson, John S. Witte, Elaine Kenny, Edmund J.S. Sonuga-Barke, Lydia Krabbendam, Line Olsen, Agatino Battaglia, Laura J. Scott, Annette M. Hartmann, Yunjung Kim, Richard O. Day, Edwin J. C. G. van den Oord, Ole A. Andreassen, Herbert Roeyers, Michael John Owen, Colm O'Dushlaine, Peng Zhang, Morten Mattingsdal, Michael L. Cuccaro, Margaret A. Pericak-Vance, Joachim Hallmayer, Jun Li, Pamela B. Mahon, Elisabeth B. Binder, William A. Scheftner, Daniel H. Geschwind, Christel M. Middeldorp, Josef Frank, Keith Matthews, Jennifer K. Lowe, Paul Lichtenstein, Verneri Anttila, Pamela Sklar, Szabocls Szelinger, Roel A. Ophoff, Peter McGuffin, Stefan Herms, Bettina Konte, George Kirov, Hilary Coon, Maria Hipolito, Louise Frisén, Kenneth S. Kendler, Frank Bellivier, James S. Sutdiffe, Jeffrey A. Lieberman, Todd Lencz, Susanne Hoefels, Alan W. McLean, Barbara Franke, Huda Akil, Soumya Raychaudhuri, Ellen M. Wijsman, Vishwajit L. Nimgaonkar, Roy H. Perlis, Patrick J. McGrath, Susan L. Santangelo, William Coryell, Henrik B. Rasmussen, Weihua Guan, William Lawson, Elliot S. Gershon, Sean Ennis, Aiden Corvin, Allan H. Young, Thomas B. Barrett, Jonathan L. Haines, Douglas F. Levinson, Ana Miranda, Anil K. Malhotra, S. Hong Lee, Stan F. Nelson, Anthony J. Bailey, Patrick F. Sullivan, Dorothy E. Grice, Lefkos T. Middleton, Bertram Mueller-Myhsok, Michael R. Barnes, Adebayo Anjorin, O'Dushlaine, C, Rossin, L, Lee, Ph, Duncan, L, Parikshak, Nn, Newhouse, S, Ripke, S, Neale, Bm, Purcell, Sm, Posthuma, D, Nurnberger, Ji, Lee, Sh, Faraone, Sv, Perlis, Rh, Mowry, Bj, Thapar, A, Goddard, Me, Witte, J, Absher, D, Agartz, I, Akil, H, Amin, F, Andreassen, Oa, Anjorin, A, Anney, R, Anttila, V, Arking, De, Asherson, P, Azevedo, Mh, Backlund, L, Badner, Ja, Bailey, Aj, Banaschewski, T, Barchas, Jd, Barnes, Mr, Barrett, Tb, Bass, N, Battaglia, A, Bauer, M, Bayés, M, Bellivier, F, Bergen, Se, Berrettini, W, Betancur, C, Bettecken, T, Biederman, J, Binder, Eb, Black, Dw, Blackwood, Dh, Bloss, C, Boehnke, M, Boomsma, Di, Breuer, R, Bruggeman, R, Cormican, P, Buccola, Ng, Buitelaar, Jk, Bunney, We, Buxbaum, Jd, Byerley, Wf, Byrne, Em, Caesar, S, Cahn, W, Cantor, Rm, Casas, M, Chakravarti, A, Chambert, K, Choudhury, K, Cichon, S, Mattheisen, M, Cloninger, Cr, Collier, Da, Cook, Eh, Coon, H, Cormand, B, Corvin, A, Coryell, Wh, Craig, Dw, Craig, Iw, Crosbie, J, Cuccaro, Ml, Curtis, D, Czamara, D, Datta, S, Dawson, G, Day, R, De Geus, Ej, Degenhardt, F, Djurovic, S, Donohoe, Gj, Doyle, Ae, Duan, J, Dudbridge, F, Duketis, E, Ebstein, Rp, Edenberg, Hj, Elia, J, Ennis, S, Etain, B, Fanous, A, Farmer, Ae, Ferrier, In, Flickinger, M, Fombonne, E, Foroud, T, Frank, J, Franke, B, Fraser, C, Freedman, R, Freimer, Nb, Freitag, Cm, Friedl, M, Frisén, L, Gallagher, L, Gejman, Pv, Georgieva, L, Gershon, E, Giegling, I, Gill, M, Gordon, Sd, Gordon-Smith, K, Green, Ek, Greenwood, Ta, Grice, De, Gross, M, Grozeva, D, Guan, W, Gurling, H, De Haan, L, Haines, Jl, Hakonarson, H, Hallmayer, J, Hamilton, Sp, Hamshere, Ml, Hansen, Tf, Hartmann, Am, Hautzinger, M, Heath, Ac, Henders, Ak, Herms, S, Hickie, Ib, Hipolito, M, Hoefels, S, Holsboer, F, Hoogendijk, Wj, Hottenga, Jj, Hultman, Cm, Hus, V, Ingason, A, Ising, M, Jamain, S, Jones, Eg, Jones, I, Jones, L, Tzeng, Jy, Kähler, Ak, Kahn, R, Kandaswamy, R, Keller, Mc, Kennedy, Jl, Kenny, E, Kent, L, Kim, Y, Kirov, Gk, Klauck, Sm, Klei, L, Knowles, Ja, Kohli, Ma, Koller, Dl, Konte, B, Korszun, A, Krabbendam, L, Krasucki, R, Kuntsi, J, Kwan, P, Landén, M, Längström, N, Lathrop, M, Lawrence, J, Lawson, Wb, Leboyer, M, Ledbetter, Dh, Lencz, T, Lesch, Kp, Levinson, Df, Lewis, Cm, Li, J, Lichtenstein, P, Lieberman, Ja, Lin, Dy, Linszen, Dh, Liu, C, Lohoff, Fw, Loo, Sk, Lord, C, Lowe, Jk, Lucae, S, Macintyre, Dj, Madden, Pa, Maestrini, E, Magnusson, Pk, Mahon, Pb, Maier, W, Malhotra, Ak, Mane, Sm, Martin, Cl, Martin, Ng, Matthews, K, Mattingsdal, M, Mccarroll, Sa, Mcghee, Ka, Mcgough, Jj, Mcgrath, Pj, Mcguffin, P, Mcinnis, Mg, Mcintosh, A, Mckinney, R, Mclean, Aw, Mcmahon, Fj, Mcmahon, Wm, Mcquillin, A, Medeiros, H, Medland, Se, Meier, S, Melle, I, Meyer, J, Middeldorp, Cm, Middleton, L, Milanova, V, Miranda, A, Monaco, A, Montgomery, Gw, Moran, Jl, Moreno-De-Luca, D, Morken, G, Morris, Dw, Morrow, Em, Moskvina, V, Muglia, P, Mühleisen, Tw, Muir, Wj, Müller-Myhsok, B, Murtha, M, Myers, Rm, Myin-Germeys, I, Neale, Mc, Nelson, Sf, Nievergelt, Cm, Nikolov, I, Nimgaonkar, V, Nolen, Wa, Nöthen, Mm, Nwulia, Ea, Nyholt, Dr, Oades, Rd, Olincy, A, Oliveira, G, Olsen, L, Ophoff, Ra, Osby, U, Owen, Mj, Palotie, A, Parr, Jr, Paterson, Ad, Pato, Cn, Pato, Mt, Penninx, Bw, Pergadia, Ml, Pericak-Vance, Ma, Pickard, B, Pimm, J, Piven, J, Potash, Jb, Poustka, F, Propping, P, Puri, V, Quested, Dj, Quinn, Em, Ramos-Quiroga, Ja, Rasmussen, Hb, Raychaudhuri, S, Rehnström, K, Reif, A, Ribasés, M, Rice, Jp, Rietschel, M, Roeder, K, Roeyers, H, Rothenberger, A, Rouleau, G, Ruderfer, D, Rujescu, D, Sanders, Ar, Sanders, Sj, Santangelo, Sl, Sergeant, Ja, Schachar, R, Schalling, M, Schatzberg, Af, Scheftner, Wa, Schellenberg, Gd, Scherer, Sw, Schork, Nj, Schulze, Tg, Schumacher, J, Schwarz, M, Scolnick, E, Scott, Lj, Shi, J, Shilling, Pd, Shyn, Si, Silverman, Jm, Slager, Sl, Smalley, Sl, Smit, Jh, Smith, En, Sonuga-Barke, Ej, St Clair, D, State, M, Steffens, M, Steinhausen, Hc, Strauss, J, Strohmaier, J, Stroup, T, Sutcliffe, J, Szatmari, P, Szelinger, S, Thirumalai, S, Thompson, Rc, Todorov, Aa, Tozzi, F, Treutlein, J, Uhr, M, van den Oord, Jc, Van Grootheest, G, Van Os, J, Vicente, A, Vieland, Vj, Vincent, Jb, Visscher, Pm, Walsh, Ca, Wassink, Th, Watson, Sj, Weissman, Mm, Werge, T, Wienker, Tf, Wijsman, Em, Willemsen, G, Williams, N, Willsey, Aj, Witt, Sh, Xu, W, Young, Ah, Yu, Tw, Zammit, S, Zandi, Pp, Zhang, P, Zitman, Fg, Zöllner, S, Devlin, B, Kelsoe, Jr, Sklar, P, Daly, Mj, O'Donovan, Mc, Craddock, N, Kendler, K, Weiss, La, Wray, Nr, Zhao, Z, Geschwind, Dh, Sullivan, Pf, Smoller, Jw, Holmans, Pa, Breen, G., Génétique de l'autisme = Genetics of Autism (NPS-01), Neuroscience Paris Seine (NPS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Biologie Paris Seine (IBPS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Biologie Paris Seine (IBPS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Human genetics, Psychiatry, NCA - Brain mechanisms in health and disease, NCA - Neurobiology of mental health, EMGO - Mental health, Child and Adolescent Psychiatry / Psychology, Epidemiology, Gastroenterology & Hepatology, Hematology, University of St Andrews. School of Medicine, University of St Andrews. Institute of Behavioural and Neural Sciences, Psychiatrie & Neuropsychologie, MUMC+: MA Psychiatrie (3), MUMC+: Hersen en Zenuw Centrum (3), RS: MHeNs - R2 - Mental Health, ANS - Amsterdam Neuroscience, Adult Psychiatry, Child Psychiatry, Universitat de Barcelona, Perceptual and Cognitive Neuroscience (PCN), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Clinical Cognitive Neuropsychiatry Research Program (CCNP), Neurosciences Paris Seine (NPS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Biologie Paris Seine (IBPS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Biologie Paris Seine (IBPS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Complex Trait Genetics, Biological Psychology, Educational Neuroscience, Clinical Neuropsychology, Neuroscience Campus Amsterdam - Brain Mechanisms in Health & Disease, LEARN! - Social cognition and learning, LEARN! - Brain, learning and development, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, EMGO+ - Mental Health, Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Biologie Paris Seine (IBPS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), O'Dushlaine, Colm, Rossin, Lizzy, Lee, Phil H, Duncan, Laramie, Lee, S Hong, Breen, Gerome, International Inflammatory Bowel Disease Genetics Consortium (IIBDGC), Network and Pathway Analysis Subgroup of the Psychiatric Genomics Consortium, and Myin-Germeys, Inez
Subjects: Netherlands Twin Register (NTR), Statistical methods, Autism, Medizin, LOCI, Genome-wide association study, heritability, Genome-wide association studies, Histones, Genètica mèdica, 0302 clinical medicine, Histone methylation, Databases, Genetic, 2.1 Biological and endogenous factors, Psychology, GWAS, Aetiology, Psychiatric genetics, R2C, bipolar disorder, Psychiatry, 0303 health sciences, Disorders, Loci, Depression, General Neuroscience, Mental Disorders, Medical genetics, METHYLATION, Brain, 3rd-DAS, Serious Mental Illness, Psychiatric Disorders, 3. Good health, Histone, Mental Health, Schizophrenia, Mental Disorder, Cognitive Sciences, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Promoters, BDC, BURDEN, RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry, Human, Signal Transduction, medicine.medical_specialty, DISORDERS, Genomics, Network and Pathway Analysis Subgroup of Psychiatric Genomics Consortium, Burden, Biology, Methylation, Article, Biological pathway, PROMOTERS, 03 medical and health sciences, Databases, Genetic, medicine, Genetics, Humans, Genetic Predisposition to Disease, histone methylation, Bipolar disorder, Psiquiatria, AUTISM, 030304 developmental biology, Genetic association, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], Neurology & Neurosurgery, Neuroscience (all), Human Genome, Neurosciences, medicine.disease, Brain Disorders, Good Health and Well Being, DE-NOVO MUTATIONS, Perturbações do Desenvolvimento Infantil e Saúde Mental, RC0321, Genome-wide Association Studies, De-novo mutations, major depression, Neuroscience, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: G.B. and S.N. acknowledge funding support for this work from the National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King's College London. P.H.L. is supported by US National Institute of Mental Health (NIMH) grant K99MH101367. Genome-wide association studies (GWAS) of psychiatric disorders have identified multiple genetic associations with such disorders, but better methods are needed to derive the underlying biological mechanisms that these signals indicate. We sought to identify biological pathways in GWAS data from over 60,000 participants from the Psychiatric Genomics Consortium. We developed an analysis framework to rank pathways that requires only summary statistics. We combined this score across disorders to find common pathways across three adult psychiatric disorders: schizophrenia, major depression and bipolar disorder. Histone methylation processes showed the strongest association, and we also found statistically significant evidence for associations with multiple immune and neuronal signaling pathways and with the postsynaptic density. Our study indicates that risk variants for psychiatric disorders aggregate in particular biological pathways and that these pathways are frequently shared between disorders. Our results confirm known mechanisms and suggest several novel insights into the etiology of psychiatric disorders. Postprint
Published: 2015

15. Joint Analysis of Psychiatric Disorders Increases Accuracy of Risk Prediction for Schizophrenia, Bipolar Disorder, and Major Depressive Disorder

Author: Robert Maier, Gerhard Moser, Guo-Bo Chen, Stephan Ripke, William Coryell, James B. Potash, William A. Scheftner, Jianxin Shi, Myrna M. Weissman, Christina M. Hultman, Mikael Landén, Douglas F. Levinson, Kenneth S. Kendler, Jordan W. Smoller, Naomi R. Wray, S. Hong Lee, Devin Absher, Ingrid Agartz, Huda Akil, Farooq Amin, Ole A. Andreassen, Adebayo Anjorin, Richard Anney, Dan E. Arking, Philip Asherson, Maria H. Azevedo, Lena Backlund, Judith A. Badner, Anthony J. Bailey, Tobias Banaschewski, Jack D. Barchas, Michael R. Barnes, Thomas B. Barrett, Nicholas Bass, Agatino Battaglia, Michael Bauer, Mònica Bayés, Frank Bellivier, Sarah E. Bergen, Wade Berrettini, Catalina Betancur, Thomas Bettecken, Joseph Biederman, Elisabeth B. Binder, Donald W. Black, Douglas H.R. Blackwood, Cinnamon S. Bloss, Michael Boehnke, Dorret I. Boomsma, Gerome Breen, René Breuer, Richard Bruggeman, Nancy G. Buccola, Jan K. Buitelaar, William E. Bunney, Joseph D. Buxbaum, William F. Byerley, Sian Caesar, Wiepke Cahn, Rita M. Cantor, Miguel Casas, Aravinda Chakravarti, Kimberly Chambert, Khalid Choudhury, Sven Cichon, C. Robert Cloninger, David A. Collier, Edwin H. Cook, Hilary Coon, Bru Cormand, Paul Cormican, Aiden Corvin, William H. Coryell, Nicholas Craddock, David W. Craig, Ian W. Craig, Jennifer Crosbie, Michael L. Cuccaro, David Curtis, Darina Czamara, Mark J. Daly, Susmita Datta, Geraldine Dawson, Richard Day, Eco J. De Geus, Franziska Degenhardt, Bernie Devlin, Srdjan Djurovic, Gary J. Donohoe, Alysa E. Doyle, Jubao Duan, Frank Dudbridge, Eftichia Duketis, Richard P. Ebstein, Howard J. Edenberg, Josephine Elia, Sean Ennis, Bruno Etain, Ayman Fanous, Stephen V. Faraone, Anne E. Farmer, I. Nicol Ferrier, Matthew Flickinger, Eric Fombonne, Tatiana Foroud, Josef Frank, Barbara Franke, Christine Fraser, Robert Freedman, Nelson B. Freimer, Christine M. Freitag, Marion Friedl, Louise Frisén, Louise Gallagher, Pablo V. Gejman, Lyudmila Georgieva, Elliot S. Gershon, Daniel H. Geschwind, Ina Giegling, Michael Gill, Scott D. Gordon, Katherine Gordon-Smith, Elaine K. Green, Tiffany A. Greenwood, Dorothy E. Grice, Magdalena Gross, Detelina Grozeva, Weihua Guan, Hugh Gurling, Lieuwe De Haan, Jonathan L. Haines, Hakon Hakonarson, Joachim Hallmayer, Steven P. Hamilton, Marian L. Hamshere, Thomas F. Hansen, Annette M. Hartmann, Martin Hautzinger, Andrew C. Heath, Anjali K. Henders, Stefan Herms, Ian B. Hickie, Maria Hipolito, Susanne Hoefels, Peter A. Holmans, Florian Holsboer, Witte J. Hoogendijk, Jouke-Jan Hottenga, Vanessa Hus, Andrés Ingason, Marcus Ising, Stéphane Jamain, Ian Jones, Lisa Jones, Anna K. Kähler, René S. Kahn, Radhika Kandaswamy, Matthew C. Keller, John R. Kelsoe, James L. Kennedy, Elaine Kenny, Lindsey Kent, Yunjung Kim, George K. Kirov, Sabine M. Klauck, Lambertus Klei, James A. Knowles, Martin A. Kohli, Daniel L. Koller, Bettina Konte, Ania Korszun, Lydia Krabbendam, Robert Krasucki, Jonna Kuntsi, Phoenix Kwan, Niklas Långström, Mark Lathrop, Jacob Lawrence, William B. Lawson, Marion Leboyer, David H. Ledbetter, Phil H. Lee, Todd Lencz, Klaus-Peter Lesch, Cathryn M. Lewis, Jun Li, Paul Lichtenstein, Jeffrey A. Lieberman, Dan-Yu Lin, Don H. Linszen, Chunyu Liu, Falk W. Lohoff, Sandra K. Loo, Catherine Lord, Jennifer K. Lowe, Susanne Lucae, Donald J. MacIntyre, Pamela A.F. Madden, Elena Maestrini, Patrik K.E. Magnusson, Pamela B. Mahon, Wolfgang Maier, Anil K. Malhotra, Shrikant M. Mane, Christa L. Martin, Nicholas G. Martin, Manuel Mattheisen, Keith Matthews, Morten Mattingsdal, Steven A. McCarroll, Kevin A. McGhee, James J. McGough, Patrick J. McGrath, Peter McGuffin, Melvin G. McInnis, Andrew McIntosh, Rebecca McKinney, Alan W. McLean, Francis J. McMahon, William M. McMahon, Andrew McQuillin, Helena Medeiros, Sarah E. Medland, Sandra Meier, Ingrid Melle, Fan Meng, Jobst Meyer, Christel M. Middeldorp, Lefkos Middleton, Vihra Milanova, Ana Miranda, Anthony P. Monaco, Grant W. Montgomery, Jennifer L. Moran, Daniel Moreno-De-Luca, Gunnar Morken, Derek W. Morris, Eric M. Morrow, Valentina Moskvina, Bryan J. Mowry, Pierandrea Muglia, Thomas W. Mühleisen, Bertram Müller-Myhsok, Michael Murtha, Richard M. Myers, Inez Myin-Germeys, Benjamin M. Neale, Stan F. Nelson, Caroline M. Nievergelt, Ivan Nikolov, Vishwajit Nimgaonkar, Willem A. Nolen, Markus M. Nöthen, John I. Nurnberger, Evaristus A. Nwulia, Dale R. Nyholt, Michael C. O’Donovan, Colm O’Dushlaine, Robert D. Oades, Ann Olincy, Guiomar Oliveira, Line Olsen, Roel A. Ophoff, Urban Osby, Michael J. Owen, Aarno Palotie, Jeremy R. Parr, Andrew D. Paterson, Carlos N. Pato, Michele T. Pato, Brenda W. Penninx, Michele L. Pergadia, Margaret A. Pericak-Vance, Roy H. Perlis, Benjamin S. Pickard, Jonathan Pimm, Joseph Piven, Danielle Posthuma, Fritz Poustka, Peter Propping, Shaun M. Purcell, Vinay Puri, Digby J. Quested, Emma M. Quinn, Josep Antoni Ramos-Quiroga, Henrik B. Rasmussen, Soumya Raychaudhuri, Karola Rehnström, Andreas Reif, Marta Ribasés, John P. Rice, Marcella Rietschel, Kathryn Roeder, Herbert Roeyers, Lizzy Rossin, Aribert Rothenberger, Guy Rouleau, Douglas Ruderfer, Dan Rujescu, Alan R. Sanders, Stephan J. Sanders, Susan L. Santangelo, Russell Schachar, Martin Schalling, Alan F. Schatzberg, Gerard D. Schellenberg, Stephen W. Scherer, Nicholas J. Schork, Thomas G. Schulze, Johannes Schumacher, Markus Schwarz, Edward Scolnick, Laura J. Scott, Joseph A. Sergeant, Paul D. Shilling, Stanley I. Shyn, Jeremy M. Silverman, Pamela Sklar, Susan L. Slager, Susan L. Smalley, Johannes H. Smit, Erin N. Smith, Edmund J.S. Sonuga-Barke, David St Clair, Matthew State, Michael Steffens, Hans-Christoph Steinhausen, John S. Strauss, Jana Strohmaier, T. Scott Stroup, Patrick F. Sullivan, James Sutcliffe, Peter Szatmari, Szabocls Szelinger, Anita Thapar, Srinivasa Thirumalai, Robert C. Thompson, Alexandre A. Todorov, Federica Tozzi, Jens Treutlein, Jung-Ying Tzeng, Manfred Uhr, Edwin J.C.G. van den Oord, Gerard Van Grootheest, Jim Van Os, Astrid M. Vicente, Veronica J. Vieland, John B. Vincent, Peter M. Visscher, Christopher A. Walsh, Thomas H. Wassink, Stanley J. Watson, Lauren A. Weiss, Thomas Werge, Thomas F. Wienker, Durk Wiersma, Ellen M. Wijsman, Gonneke Willemsen, Nigel Williams, A. Jeremy Willsey, Stephanie H. Witt, Wei Xu, Allan H. Young, Timothy W. Yu, Stanley Zammit, Peter P. Zandi, Peng Zhang, Frans G. Zitman, Sebastian Zöllner, University of Zurich, Lee, S Hong, Epidemiology and Data Science, Psychiatry, EMGO - Mental health, NCA - Neurobiology of mental health, Human genetics, NCA - Brain mechanisms in health and disease, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Biological Psychology, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, Maier, Robert, Moser, Gerhard, Chen, Guo-Bo, Ripke, Stephan, Coryell, William, Potash, James B, Scheftner, William A, Shi, Jianxin, Weissman, Myrna M, Hultman, Christina M, Landen, Mikael, Levinson, Douglas F, Kendler, Kenneth S, Smoller, Jordan, Wray, Naomi R, Cross-Disorder Working Group of the Psychiatric Genomics Consortium, Oades, Robert D. (Beitragende*r), Génétique de l'autisme = Genetics of Autism (NPS-01), Neuroscience Paris Seine (NPS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Biologie Paris Seine (IBPS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Biologie Paris Seine (IBPS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), University of St Andrews. School of Medicine, University of St Andrews. Institute of Behavioural and Neural Sciences, Neurosciences Paris Seine (NPS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Biologie Paris Seine (IBPS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut de Biologie Paris Seine (IBPS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Biologie Paris Seine (IBPS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), ANS - Amsterdam Neuroscience, Adult Psychiatry, Child Psychiatry, Maier R., Moser G., Chen G.-B., Ripke S., Coryell W., Potash J.B., Scheftner W.A., Shi J., Weissman M.M., Hultman C.M., Landen M., Levinson D.F., Kendler K.S., Smoller J.W., Wray N.R., Lee S.H., Absher D., Agartz I., Akil H., Amin F., Andreassen O.A., Anjorin A., Anney R., Arking D.E., Asherson P., Azevedo M.H., Backlund L., Badner J.A., Bailey A.J., Banaschewski T., Barchas J.D., Barnes M.R., Barrett T.B., Bass N., Battaglia A., Bauer M., Bayes M., Bellivier F., Bergen S.E., Berrettini W., Betancur C., Bettecken T., Biederman J., Binder E.B., Black D.W., Blackwood D.H.R., Bloss C.S., Boehnke M., Boomsma D.I., Breen G., Breuer R., Bruggeman R., Buccola N.G., Buitelaar J.K., Bunney W.E., Buxbaum J.D., Byerley W.F., Caesar S., Cahn W., Cantor R.M., Casas M., Chakravarti A., Chambert K., Choudhury K., Cichon S., Robert Cloninger C., Collier D.A., Cook E.H., Coon H., Cormand B., Cormican P., Corvin A., Coryell W.H., Craddock N., Craig D.W., Craig I.W., Crosbie J., Cuccaro M.L., Curtis D., Czamara D., Daly M.J., Datta S., Dawson G., Day R., De Geus E.J., Degenhardt F., Devlin B., Djurovic S., Donohoe G.J., Doyle A.E., Duan J., Dudbridge F., Duketis E., Ebstein R.P., Edenberg H.J., Elia J., Ennis S., Etain B., Fanous A., Faraone S.V., Farmer A.E., Nicol Ferrier I., Flickinger M., Fombonne E., Foroud T., Frank J., Franke B., Fraser C., Freedman R., Freimer N.B., Freitag C.M., Friedl M., Frisen L., Gallagher L., Gejman P.V., Georgieva L., Gershon E.S., Geschwind D.H., Giegling I., Gill M., Gordon S.D., Gordon-Smith K., Green E.K., Greenwood T.A., Grice D.E., Gross M., Grozeva D., Guan W., Gurling H., De Haan L., Haines J.L., Hakonarson H., Hallmayer J., Hamilton S.P., Hamshere M.L., Hansen T.F., Hartmann A.M., Hautzinger M., Heath A.C., Henders A.K., Herms S., Hickie I.B., Hipolito M., Hoefels S., Holmans P.A., Holsboer F., Hoogendijk W.J., Hottenga J.-J., Hus V., Ingason A., Ising M., Jamain S., Jones I., Jones L., Kahler A.K., Kahn R.S., Kandaswamy R., Keller M.C., Kelsoe J.R., Kennedy J.L., Kenny E., Kent L., Kim Y., Kirov G.K., Klauck S.M., Klei L., Knowles J.A., Kohli M.A., Koller D.L., Konte B., Korszun A., Krabbendam L., Krasucki R., Kuntsi J., Kwan P., Langstrom N., Lathrop M., Lawrence J., Lawson W.B., Leboyer M., Ledbetter D.H., Lee P.H., Lencz T., Lesch K.-P., Lewis C.M., Li J., Lichtenstein P., Lieberman J.A., Lin D.-Y., Linszen D.H., Liu C., Lohoff F.W., Loo S.K., Lord C., Lowe J.K., Lucae S., MacIntyre D.J., Madden P.A.F., Maestrini E., Magnusson P.K.E., Mahon P.B., Maier W., Malhotra A.K., Mane S.M., Martin C.L., Martin N.G., Mattheisen M., Matthews K., Mattingsdal M., McCarroll S.A., McGhee K.A., McGough J.J., McGrath P.J., McGuffin P., McInnis M.G., McIntosh A., McKinney R., McLean A.W., McMahon F.J., McMahon W.M., McQuillin A., Medeiros H., Medland S.E., Meier S., Melle I., Meng F., Meyer J., Middeldorp C.M., Middleton L., Milanova V., Miranda A., Monaco A.P., Montgomery G.W., Moran J.L., Moreno-De-Luca D., Morken G., Morris D.W., Morrow E.M., Moskvina V., Mowry B.J., Muglia P., Muhleisen T.W., Muller-Myhsok B., Murtha M., Myers R.M., Myin-Germeys I., Neale B.M., Nelson S.F., Nievergelt C.M., Nikolov I., Nimgaonkar V., Nolen W.A., Nothen M.M., Nurnberger J.I., Nwulia E.A., Nyholt D.R., O'Donovan M.C., O'Dushlaine C., Oades R.D., Olincy A., Oliveira G., Olsen L., Ophoff R.A., Osby U., Owen M.J., Palotie A., Parr J.R., Paterson A.D., Pato C.N., Pato M.T., Penninx B.W., Pergadia M.L., Pericak-Vance M.A., Perlis R.H., Pickard B.S., Pimm J., Piven J., Posthuma D., Poustka F., Propping P., Purcell S.M., Puri V., Quested D.J., Quinn E.M., Ramos-Quiroga J.A., Rasmussen H.B., Raychaudhuri S., Rehnstrom K., Reif A., Ribases M., Rice J.P., Rietschel M., Roeder K., Roeyers H., Rossin L., Rothenberger A., Rouleau G., Ruderfer D., Rujescu D., Sanders A.R., Sanders S.J., Santangelo S.L., Schachar R., Schalling M., Schatzberg A.F., Schellenberg G.D., Scherer S.W., Schork N.J., Schulze T.G., Schumacher J., Schwarz M., Scolnick E., Scott L.J., Sergeant J.A., Shilling P.D., Shyn S.I., Silverman J.M., Sklar P., Slager S.L., Smalley S.L., Smit J.H., Smith E.N., Sonuga-Barke E.J.S., St Clair D., State M., Steffens M., Steinhausen H.-C., Strauss J.S., Strohmaier J., Scott Stroup T., Sullivan P.F., Sutcliffe J., Szatmari P., Szelinger S., Thapar A., Thirumalai S., Thompson R.C., Todorov A.A., Tozzi F., Treutlein J., Tzeng J.-Y., Uhr M., van den Oord E.J.C.G., Van Grootheest G., Van Os J., Vicente A.M., Vieland V.J., Vincent J.B., Visscher P.M., Walsh C.A., Wassink T.H., Watson S.J., Weiss L.A., Werge T., Wienker T.F., Wiersma D., Wijsman E.M., Willemsen G., Williams N., Jeremy Willsey A., Witt S.H., Xu W., Young A.H., Yu T.W., Zammit S., Zandi P.P., Zhang P., Zitman F.G., and Zollner S.
Subjects: Netherlands Twin Register (NTR), Multifactorial Inheritance, Multivariate analysis, Bipolar Disorder, genome annotation, Medizin, R Medicine (General), Medical and Health Sciences, Genome-wide association studies, 0302 clinical medicine, 2.5 Research design and methodologies (aetiology), GWAS, Genetics(clinical), Aetiology, Multivariate Analysi, Genetics (clinical), Genetics & Heredity, bipolar disorder, 0303 health sciences, education.field_of_study, Depression, Mental Disorders, Single Nucleotide, 3rd-DAS, Biological Sciences, 10058 Department of Child and Adolescent Psychiatry, Serious Mental Illness, Psychiatric Disorders, 3. Good health, Mental Health, Schizophrenia, Mental Disorder, Linear Model, Major depressive disorder, [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Risk assessment, Human, medicine.medical_specialty, 2716 Genetics (clinical), Genetics, Medical, Population, SNP, 610 Medicine & health, QH426 Genetics, Best linear unbiased prediction, Polymorphism, Single Nucleotide, Risk Assessment, 03 medical and health sciences, 1311 Genetics, Medical, Report, medicine, Genetics, Humans, Bipolar disorder, Genetic Testing, Polymorphism, education, Psychiatry, QH426, 030304 developmental biology, Depressive Disorder, Depressive Disorder, Major, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], business.industry, Cross-Disorder Working Group of the Psychiatric Genomics Consortium, Prevention, Human Genome, Major, medicine.disease, genetic risk prediction, R1, Brain Disorders, schizophrenia, Sample size determination, Perturbações do Desenvolvimento Infantil e Saúde Mental, Multivariate Analysis, Linear Models, business, depressive disorders, 030217 neurology & neurosurgery
Abstract: Cross-Disorder Working Group of the Psychiatric Genomics Consortium - Vicente A.M. Acessível em: http://www.ncbi.nlm.nih.gov/pmc/articles/pmid/25640677/ Genetic risk prediction has several potential applications in medical research and clinical practice and could be used, for example, to stratify a heterogeneous population of patients by their predicted genetic risk. However, for polygenic traits, such as psychiatric disorders, the accuracy of risk prediction is low. Here we use a multivariate linear mixed model and apply multi-trait genomic best linear unbiased prediction for genetic risk prediction. This method exploits correlations between disorders and simultaneously evaluates individual risk for each disorder. We show that the multivariate approach significantly increases the prediction accuracy for schizophrenia, bipolar disorder, and major depressive disorder in the discovery as well as in independent validation datasets. By grouping SNPs based on genome annotation and fitting multiple random effects, we show that the prediction accuracy could be further improved. The gain in prediction accuracy of the multivariate approach is equivalent to an increase in sample size of 34% for schizophrenia, 68% for bipolar disorder, and 76% for major depressive disorders using single trait models. Because our approach can be readily applied to any number of GWAS datasets of correlated traits, it is a flexible and powerful tool to maximize prediction accuracy. With current sample size, risk predictors are not useful in a clinical setting but already are a valuable research tool, for example in experimental designs comparing cases with high and low polygenic risk
Published: 2015

16. A Population-Based Study of Genetic Variation and Psychotic Experiences in Adolescents

Author: David M. Evans, Alexander Richards, Marian L. Hamshere, Sarah Dwyer, Glyn Lewis, Valentina Moskvina, Michael John Owen, Nic Timpson, Stanley Zammit, Peter G. Jones, Michael Conlon O'Donovan, and Lyudmila Georgiva
Subjects: Male, Risk, Multifactorial Inheritance, Psychosis, medicine.medical_specialty, Adolescent, Population, polygenic, Genome-wide association study, Single-nucleotide polymorphism, 17 Psychology And Cognitive Sciences, 03 medical and health sciences, 0302 clinical medicine, mental disorders, Epidemiology, medicine, Humans, GWAS, Genetic Predisposition to Disease, psychosis, Allele, Child, education, Psychiatry, QH426, education.field_of_study, Regular Article, 11 Medical And Health Sciences, ALSPAC, medicine.disease, Genetic architecture, 030227 psychiatry, schizophrenia, Psychiatry and Mental health, England, Psychotic Disorders, Schizophrenia, RC0321, Female, epidemiology, Psychology, 030217 neurology & neurosurgery, Genome-Wide Association Study, Clinical psychology
Abstract: Psychotic experiences are not uncommon in general population samples, but no studies have examined to what extent confirmed risk variants for schizophrenia are associated with such experiences. A total of 3483 children in a birth cohort study participated in semistructured interviews for psychotic experiences at ages 12 and 18. We examined whether (1) a composite measure of risk for schizophrenia conferred by common alleles (polygenic score) was associated with psychotic experiences, (2) variants with genome-wide evidence for association with schizophrenia were associated with psychotic experiences, and (3) we could identify genetic variants for psychotic experiences using a genome-wide association (GWA) approach. We found no evidence that a schizophrenia polygenic score, or variants showing genome-wide evidence of association with schizophrenia, were associated with adolescent psychotic experiences within the general population. In fact, individuals who had a higher number of risk alleles for genome-wide hits for schizophrenia showed a decreased risk of psychotic experiences. In the GWA study, no variants showed GWA for psychotic experiences, and there was no evidence that the strongest hits (P -5) were enriched for variants associated with schizophrenia in large consortia. Although polygenic scores are weak tools for prediction of schizophrenia, they show strong evidence of association with this disorder. Our findings, however, lend little support to the hypothesis that psychotic experiences in population-based samples of adolescents share a comparable genetic architecture to schizophrenia, or that utilizing a broader and more common phenotype of psychotic experiences will be an efficient approach to increase understanding of the genetic etiology of schizophrenia.
Published: 2013

17. Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer's disease

Author: Lambert, J. C., Ibrahim-Verbaas, C. A., Russo, G., Mayhaus, M., Lannefelt, L., Hakonarson, H., Pichler, S., Carrasquillo, M. M., Ingelsson, M., Beekly, D., Alvarez, V., Zou, F., Valladares, O., Thorton-Wells, T. A., Younkin, S. G., Coto, E., Hamilton-Nelson, K. L., Gu, W., Razquin, C., Pastor, P., Mateo, I., Owen, M. J., Faber, K. M., Jonsson, P. V., Jones, N., Combarros, O., O'Donovan, M. C., Cantwell, L. B., Soininen, H., Blacker, D., Mead, S., Mosley, T. H., Bennett, D. A., Harris, T. B., Fratiglioni, L., Smith, A. V., Holmes, C., de Bruijn, R. F., Passmore, P., Montine, T. J., Bettens, K., Rotter, J. I., Brice, A., Morgan, K., Foroud, T. M., Kukull, W. A., Chouraki, V., Hannequin, D., Powell, J. F., Nalls, M. A., Ritchie, K., Lunetta, K. L., Kauwe, J. S., Boerwinkle, E., Riemenschneider, M., Boada, M., Hiltuenen, M., Thomas, C., Martin, E. R., Schmidt, R., Rujescu, D., Wang, L. S., Dartigues, J. F., Mayeux, R., Tzourio, C., Hofman, A., Nöthen, M. M., Graff, C., Ikram, M. A., Psaty, B. M., Jones, L., Haines, J. L., Holmans, P. A., Lathrop, M., Pericak-Vance, M. A., Launer, L. J., Farrer, L. A., van Duijn, C. M., Van Broeckhoven, C., Zelenika, D., Moskvina, V., Seshadri, S., Williams, J., Schellenberg, G. D., Amouyel, P., Alpérovitch, A., Boland, A., Delépoine, M., Dubois, B., Duron, E., Vardarajan, B. N., Epelbaum, J., Van Cauwenberghe, C., Engelborghs, S., Vandenberghe, R., De Deyn, P. P., Ferri, R., Romano, C., Caltagirone, C., Orfei, M. D., Ciaramella, A., Kamatani, Y., Scarpini, E., Fenoglio, C., Siciliano, G., Bonuccelli, U., Bagnoli, S., Bracco, L., Bessi, V., Cecchetti, R., Bastgiani, P., Squassina, A., Harold, D., Lin, C. F., Seripa, D., Frank-García, A., Sastre, I., Blesa, R., Alcolea, D., Suárez-Clavet, M., Sánchez-Juan, P., Muñoz Fernandez, C., Aladro Benito, Y., Thonberg, H., Gerrish, A., Forshell, C., Lilus, L., Kinhult-Ståhlbom, A., Giedraitis, V., Kilander, L., Brundin, R. M., Concari, L., Helisalmi, S., Koivisto, A. M., Haapasalo, A., Schmidt, H., Solfrizzi, V., Frisardi, V., Ott, J., Carney, R. M., Mash, D. C., Albert, M. S., Albin, R. L., Apostolova, L. G., Arnold, S. E., Barmada, M. M., Kunkle, B., Barnes, L. L., Beach, T. G., Bigio, E. H., Bird, T. D., Boeve, B. F., Bowen, J. D., Boxer, A., Burk, J. R., Cairns, N. J., Cao, C., Dunstan, M. L., Carlson, C. S., Carroll, S. L., Chibnik, L. B., Chui, H. C., Clark, D. G., Corneveaux, J., Cribbs, D. G., DeCarli, C., DeKosky, S. T., Demirci, F. Y., Ruiz, A., Dick, M., Dickson, D. W., Duara, R., Ertekin-Taner, N., Fallon, K. B., Farlow, M. R., Ferris, S., Frosch, M. P., Galasko, G. R., Ganguli, M., Bihoreau, M. T., Gearing, M., Geschwind, D. H., Ghetti, B., Gilman, S., Glass, J. D., Growdon, J. H., Hamilton, R. L., Harrell, L. E., Head, E., Honig, L. S., Choi, S. H., Hulette, C. M., Hyman, B. T., Jarvik, G. P., Jicha, G. A., Jin, L. W., Karydas, A., Kaye, J. A., Kim, R., Koo, E. H., Reitz, C., Kowall, N. W., Kramer, J. H., Kramer, P., LaFerla, F. M., Lah, J. J., Levernez, J. B., Levey, A. I., Li, G., Lieberman, A. P., Lyketsos, C. G., Pasquier, F., Mack, W. J., Marson, D. C., Martiniuk, F., Masliah, E., McCormick, W. C., McCurry, S. M., McDavid, A. N., McKee, A. C., Mesulam, M., Miller, B. L., Naj, A. C., Cruchaga, C., Miller, C. A., Miller, J. W., Morris, J. C., Murrell, J. R., Olichney, J. M., Pankratz, V. S., Parasi, J. E., Peskind, E., Peterson, R. C., Pierce, A., Craig, D., Poon, W. W., Potter, H., Quinn, J. F., Raj, A., Raskind, M., Raiman, E. M., Reisberg, B., Ringman, J. M., Roberson, E. D., Rosen, H. J., Amin, N., Rosenberg, R. N., Sano, M., Saykin, A. J., Schneider, J. A., Schneider, L. S., Seely, W. W., Smith, A. G., Sonnen, J. A., Spina, S., Stern, R. A., Berr, C., Tanzi, R. E., Trojanowski, J. Q., Troncoso, J. C., Van Deerlin, V. M., Van Eldik, L. J., Vinters, H. V., Vonsattel, J. P., Weintraub, S., Welsh-Bohmer, K. A., Williamson, J., Lopez, O. L., Woltjer, R. L., Yu, C. E., Barber, R., Au, R., Wolf, P. A., Beiser, A., Debette, S., Yang, Q., Weinstein, G., Johnson, A. D., De Jager, P. L., Wang, J., Uitterlinden, A. G., Rivadeneira, F., Koudstgaal, P. J., Longstreth, W. T., Becker, J. T., Kuller, L. H., Lumley, T., Rice, K., Garcia, M., Deramecourt, V., Aspelund, T., Marksteiner, J. J., Dal-Bianco, P., Töglhofer, A. M., Freudenberger, P., Ransmayr, G., Benke, T., Toeglhofer, A. M., Bressler, J., Breteler, M. M., Johnston, J. A., Fornage, M., Hernández, I., Rosende Roca, M., Ana Mauleón, M., Alegrat, M., RamÍrez-Lorca, R., González-Perez, A., Chapman, J., Stretton, A., Morgan, A., Evans, D., Kehoe, P. G., Medway, C., Lord, J., Turton, J., Hooper, N. M., Vardy, E., Warren, J. D., Schott, J. M., Uphill, J., Ryan, N., Lovestone, S., Rossor, M., Ben-Shlomo, Y., Makrina, D., Gkatzima, O., Lupton, M., Koutroumani, M., Avramidou, D., Germanou, A., Jessen, F., Riedel-Heller, S., Sims, R., Letenneur, L., Dichgans, M., Heun, R., Kölsch, H., Schürmann, B., Herold, C., Lacour, A., Drichel, D., Hoffman, P., Kornhuber, J., Morón, F. J., Feulner, T., van den Bussche, H., Lawlor, B., Lynch, A., Mann, D., Smith, A. D., Warden, D., Wilcock, G., Heuser, I., Wiltgang, J., Rubinsztein, D. C., Frölich, L., Hüll, M., Mayo, K., Livingston, G., Bass, N. J., Gurling, H., McQuillen, A., Gwilliam, R., Deloukas, P., Al-Chalabi, A., Eiriksdottir, G., Shaw, C. E., Singleton, A. B., Guerreiro, R., Jöckel, K. H., Klopp, N., Wichmann, H. E., Graff-Radford, N. R., Ma, L., Bisceglio, G., Sleegers, K., Fisher, E., Warner, N., Pickering-Brown, S., Becker, Tim, Goate, A. M., Fiévet, N., Huentelman, M. W., Gill, M., Brown, K., Bellenguez, C., Kamboh, M. I., Keller, L., Barberger-Gateau, P., McGuiness, B., Larson, E. B., Green, R., Myers, A. J., Dufouil, C., Todd, S., Wallon, D., DeStafano, A. L., Love, S., Rogaeva, E., Gallacher, J., St George-Hyslop, P., Clarimon, J., Lleo, A., Bayer, A., Tsuang, D. W., Yu, L., Tsolaki, M., Bis, J. C., Bossù, P., Spalletta, G., Proitsi, P., Collinge, J., Sorbi, S., Sanchez-Garcia, F., Fox, N. C., Hardy, J., Deniz Naranjo, M. C., Bosco, P., Beecham, G. W., Clarke, R., Brayne, C., Galimberti, D., Mancuso, M., Matthews, F., Initiative, European Alzheimer's Disease, Disease, Genetic and Environmental Risk in Alzheimer's, Consortium, Alzheimer's Disease Genetic, Epidemiology, Cohorts for Heart and Aging Research in Genomic, Moebus, S., Grenier-Boley, B., Mecocci, P., Del Zompo, M., Maier, W., Hampel, H., Pilotto, A., Bullido, M., Panza, F., Caffarra, P., Nacmias, B., Gilbert, J. R., Neurology, Radiology & Nuclear Medicine, and Epidemiology
Subjects: Male, Apolipoprotein E, epidemiology [Alzheimer Disease], SORL1, Medizin, genetics [Alzheimer Disease], Genome-wide association study, Single-nucleotide polymorphism, Biology, Polymorphism, Single Nucleotide, Article, PICALM, Cohort Studies, Alzheimer Disease, ddc:570, PSEN2, Genetics, medicine, Humans, Genetic Predisposition to Disease, Age of Onset, Aged, Genetic association, Aged, 80 and over, Middle Aged, medicine.disease, Genetic Loci, Case-Control Studies, Female, Human medicine, Alzheimer's disease, statistics & numerical data [Genome-Wide Association Study], Genome-Wide Association Study
Abstract: Eleven susceptibility loci for late-onset Alzheimer's disease (LOAD) were identified by previous studies; however, a large portion of the genetic risk for this disease remains unexplained. We conducted a large, two-stage meta-analysis of genome-wide association studies (GWAS) in individuals of European ancestry. In stage 1, we used genotyped and imputed data (7,055,881 SNPs) to perform meta-analysis on 4 previously published GWAS data sets consisting of 17,008 Alzheimer's disease cases and 37,154 controls. In stage 2, 11,632 SNPs were genotyped and tested for association in an independent set of 8,572 Alzheimer's disease cases and 11,312 controls. In addition to the APOE locus (encoding apolipoprotein E), 19 loci reached genome-wide significance (P < 5 x 10(-8)) in the combined stage 1 and stage 2 analysis, of which 11 are newly associated with Alzheimer's disease.
Published: 2013

18. Schizophrenia genetic variants are not associated with intelligence

Author: van Scheltinga, Af, Bakker, Sc, van Haren, Ne, Derks, Em, Buizer Voskamp, Je, Cahn, W, Ripke, S, Sanders, A, Kendler, K, Levinson, D, Sklar, P, Holmans, P, Lin, D., Duan, J, Ophoff, R, Andreassen, O, Scolnick, E, Cichon, S, St Clair, D, Corvin, A, Gurling, H, Werge, T, Rujescu, D, Blackwood, D, Pato, C, Malhotra, A, Purcell, S, Dudbridge, F, Neale, B, Rossin, L, Visscher, P, Posthuma, D, Ruderfer, D, Fanous, A, Stefansson, H, Steinberg, S, Mowry, B, Golimbet, V, Hert, De, M, Jonsson, E, Bitter, I, Pietilainen, O, Collier, D, Tosato, Sarah, Agartz, I, Albus, M, Alexander, M, Amdur, R, Amin, F, Bass, N, Bergen, S, Black, D, Børglum, A, Brown, M, Bruggeman, R, Buccola, N, Byerley, W, Cantor, R, Carr, V, Catts, S, Choudhury, K, Cloninger, C, Cormican, P, Craddock, N, Danoy, P, Datta, S, Haan, De, L, Demontis, D, Dikeos, D, Djurovic, S, Donnelly, P, Donohoe, G, Duong, L, Dwyer, S, Fink Jensen, A, Freedman, R, Freimer, N, Friedl, M, Georgieva, L, Giegling, I, Gill, M, Glenthøj, B, Godard, S, Hamshere, M, Hansen, M, Hansen, T, Hartmann, A, Henskens, F, Hougaard, D, Hultman, C, Ingason, A, Jablensky, A, Jakobsen, K, Jay, M, Jurgens, G, Kahn, R, Keller, M, Kenis, G, Kenny, E, Kim, Y, Kirov, G, Konnerth, H, Konte, B, Krabbendam, L, Krasucki, R, Lasseter, V, Laurent, C, Lawrence, J, Lencz, T, Lerer, F, Liang, K, Lichtenstein, P, Lieberman, J, Linszen, D, Lonnqvist, J, Loughland, C, Maclean, A, Maher, B, Maier, W, Mallet, J, Malloy, P, Mattheisen, M, Mattingsdal, M, Mcghee, K, Mcgrath, J, Mcintosh, A, Mclean, D, Mcquillin, A, Melle, I, Michie, P, Milanova, V, Morris, D, Mors, O, Mortensen, P, Moskvina, V, Muglia, P, Myin Germeys, I, Nertney, D, Nestadt, G, Nielsen, J, Nikolov, I, Nordentoft, M, Norton, N, Nothen, M, O'Dushlaine, C, Olincy, A, Olsen, L, O'Neill, F, Ørntoft, T, Owen, M, Pantelis, C, Papadimitriou, G, Pato, M, Peltonen, L, Petursson, H, Pickard, B, Pimm, J, Pulver, A, Puri, V, Quested, D, Quinn, E, Rasmussen, H, Rethelyi, Jm, Ribble, R, Rietschel, M, Riley, B, Ruggeri, Mirella, Schall, U, Schulze, T, Schwab, S, Scott, R, Shi, J, Sigurdsson, E, Silverman, J, Spencer, C, Stefansson, K, Strange, A, Strengman, E, Stroup, T, Suvisaari, J, Terenius, L, Thirumalai, S, Thygesen, J, Timm, S, Toncheva, D, van den Oord, E, van Os, J, van Winkel, R, Veldink, J, Walsh, D, Wang, A, Wiersma, D, Wildenauer, D, Williams, H, Williams, N, Wormley, B, Zammit, S, Sullivan, P, O'Donovan, M, Daly, M, Gejman, P), Ophoff, Ra, Kahn, Rs, Functional Genomics, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, Neuroscience Campus Amsterdam - Brain Mechanisms in Health & Disease, Psychiatrie & Neuropsychologie, RS: MHeNs School for Mental Health and Neuroscience, ANS - Amsterdam Neuroscience, APH - Amsterdam Public Health, and Adult Psychiatry
Subjects: Oncology, Adult, Male, Psychosis, medicine.medical_specialty, Multifactorial Inheritance, DNA Copy Number Variations, Endophenotypes, Schizophrenia (object-oriented programming), Intelligence, SNP, Single-nucleotide polymorphism, Genome-wide association study, polygenic, Polymorphism, Single Nucleotide, behavioral disciplines and activities, Article, Cognition, Internal medicine, mental disorders, medicine, Humans, Genetic Predisposition to Disease, deletion, Cognitive decline, Applied Psychology, Genetic association, Genetics, Wechsler Scales, Wechsler Adult Intelligence Scale, medicine.disease, endophenotype, Psychiatry and Mental health, duplication, IQ, Endophenotype, Schizophrenia, Female, Psychology, cognition, schizophrenia, Genome-Wide Association Study
Abstract: BackgroundSchizophrenia is associated with lower pre-morbid intelligence (IQ) in addition to (pre-morbid) cognitive decline. Both schizophrenia and IQ are highly heritable traits. Therefore, we hypothesized that genetic variants associated with schizophrenia, including copy number variants (CNVs) and a polygenic schizophrenia (risk) score (PSS), may influence intelligence.MethodIQ was estimated with the Wechsler Adult Intelligence Scale (WAIS). CNVs were determined from single nucleotide polymorphism (SNP) data using the QuantiSNP and PennCNV algorithms. For the PSS, odds ratios for genome-wide SNP data were calculated in a sample collected by the Psychiatric Genome-Wide Association Study (GWAS) Consortium (8690 schizophrenia patients and 11 831 controls). These were used to calculate individual PSSs in our independent sample of 350 schizophrenia patients and 322 healthy controls.ResultsAlthough significantly more genes were disrupted by deletions in schizophrenia patients compared to controls (p = 0.009), there was no effect of CNV measures on IQ. The PSS was associated with disease status (R2 = 0.055, p = 2.1 × 10−7) and with IQ in the entire sample (R2 = 0.018, p = 0.0008) but the effect on IQ disappeared after correction for disease status.ConclusionsOur data suggest that rare and common schizophrenia-associated variants do not explain the variation in IQ in healthy subjects or in schizophrenia patients. Thus, reductions in IQ in schizophrenia patients may be secondary to other processes related to schizophrenia risk.
Published: 2013

19. A pathway-based analysis provides additional support for an immune-related genetic susceptibility to Parkinson's disease

Author: Holmans, Peter, Moskvina, Valentina, Jones, Lesley, Sharma, Manu, Vedernikov, Alexey, Buchel, Finja, Sadd, Mohamad, Bras, Jose M., Bettella, Francesco, Nicolaou, Nayia, Simón-Sánchez, Javier, Mittag, Florian, Gibbs, J. Raphael, Schulte, Claudia, Durr, Alexandra, Guerreiro, Rita, Hernandez, Dena, Brice, Alexis, Stefánsson, Hreinn, Majamaa, Kari, Gasser, Thomas, Heutink, Peter, Wood, Nicholas W., Martinez, Maria, Singleton, Andrew B., Nalls, Michael A., Hardy, John, Morris, Huw R., Williams, Nigel M., Arepalli, Sampath, Barker, Roger, Barrett, Jeffrey, Ben-Shlomo, Yoav, Berendse, Henk W., Berg, Daniela, Bhatia, Kailash, de Bie, Rob M.A., Biffi, Alessandro, Bloem, Bas, Bochdanovits, Zoltan, Bonin, Michael, Brockmann, Kathrin, Brooks, Janet, Burn, David J., Charlesworth, Gavin, Chen, Honglei, Chinnery, Patrick F., Chong, Sean, Clarke, Carl E., Cookson, Mark R., Cooper, Jonathan M., Corvol, Jen-Christophe, Counsell, Carl, Damier, Philippe, Dartigues, Jean Francois, Deloukas, Panagiotis, Deuschl, Günther, Dexter, David T., van Dijk, Karin D., Dillman, Allissa, Durif, Frank, Edkins, Sarah, Evans, Jonathan R., Foltynie, Thomas, Gao, Jianjun, Gardner, Michelle, Goate, Alison, Gray, Emma, Gústafsson, Ómar, Harris, Clare, Hernandez, Dena G., van Hilten, Jacobus J., Hofman, Albert, Hollenbeck, Albert, Holton, Janice, Hu, Michele, Huber, Heiko, Hudson, Gavin, Hunt, Sarah E., Huttenlocher, Johanna, Illig, Thomas, Langford, Cordelia, Lees, Andrew, Lesage, Suzanne, Lichtner, Peter, Limousin, Patricia, Lopez, Grisel, Lorenz, Delia, McNeill, Alisdair, Moorby, Catriona, Moore, Matthew, Morris, Huw, Morrison, Karen E., Mudanohwo, Ese, Pearson, Justin, Perlmutter, Joel S., Pétursson, Hjörvar, Plagnol, Vincent, Pollak, Pierre, Post, Bart, Potter, Simon, Ravina, Bernard, Revesz, Tamas, Riess, Olaf, Rivadeneira, Fernando, Rizzu, Patrizia, Ryten, Mina, Saad, Mohamad, Sawcer, Stephen, Schapira, Anthony, Scheffer, Hans, Shaw, Karen, Sheerin, Una-Marie, Shoulson, Ira, Sidransky, Ellen, Smith, Colin, Stefánsson, Kári, Steinberg, Stacy, Stockton, Joanna D., Sveinbjornsdottir, Sigurlaug, Talbot, Kevin, Tanner, Carlie M., Tashakkori-Ghanbaria, Avazeh, Tison, François, Trabzuni, Daniah, Traynor, Bryan J., Uitterlinden, André G., Velseboer, Daan, Vidailhet, Marie, Walker, Robert, van de Warrenburg, Bart, Wickremaratchi, Mirdhu, Williams, Nigel, Williams-Gray, Caroline H., Winder-Rhodes, Sophie, Wood, Nicholas, Internal Medicine, Functional Genomics, Neuroscience Campus Amsterdam - Neurodegeneration, Neuroscience Campus Amsterdam - Brain Mechanisms in Health & Disease, Human genetics, NCA - Brain mechanisms in health and disease, NCA - neurodegeneration, ANS - Amsterdam Neuroscience, Neurology, Graduate School, and Pollak, Pierre
Subjects: Parkinson's disease, Genome-wide association study, Genome, Parkinson Disease/genetics/immunology/metabolism, 0302 clinical medicine, genetics [Parkinson Disease], HLA Antigens, Genetics (clinical), Genetics, 0303 health sciences, biology, Association Studies Articles, Parkinson Disease, HLA Antigens/genetics, General Medicine, genetics [Metabolic Networks and Pathways], Human Movement & Fatigue [DCN MP - Plasticity and memory NCEBP 10], HMG-CoA reductase, immunology [Metabolic Networks and Pathways], Corrigendum, Metabolic Networks and Pathways, Risk, medicine.medical_specialty, DCN MP - Plasticity and memory, metabolism [Parkinson Disease], Single-nucleotide polymorphism, Locus (genetics), Human leukocyte antigen, Polymorphism, Single Nucleotide, 03 medical and health sciences, Immune system, immunology [Parkinson Disease], SDG 3 - Good Health and Well-being, Molecular genetics, ddc:570, medicine, Genetic predisposition, Humans, Genetic Predisposition to Disease, Allele, Gene, Molecular Biology, Alleles, 030304 developmental biology, Metabolic Networks and Pathways/genetics/immunology, medicine.disease, ddc:616.8, genetics [HLA Antigens], biology.protein, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: Item does not contain fulltext Parkinson's disease (PD) is the second most common neurodegenerative disease affecting 1-2% in people >60 and 3-4% in people >80. Genome-wide association (GWA) studies have now implicated significant evidence for association in at least 18 genomic regions. We have studied a large PD-meta analysis and identified a significant excess of SNPs (P < 1 x 10(-16)) that are associated with PD but fall short of the genome-wide significance threshold. This result was independent of variants at the 18 previously implicated regions and implies the presence of additional polygenic risk alleles. To understand how these loci increase risk of PD, we applied a pathway-based analysis, testing for biological functions that were significantly enriched for genes containing variants associated with PD. Analysing two independent GWA studies, we identified that both had a significant excess in the number of functional categories enriched for PD-associated genes (minimum P = 0.014 and P = 0.006, respectively). Moreover, 58 categories were significantly enriched for associated genes in both GWA studies (P < 0.001), implicating genes involved in the 'regulation of leucocyte/lymphocyte activity' and also 'cytokine-mediated signalling' as conferring an increased susceptibility to PD. These results were unaltered by the exclusion of all 178 genes that were present at the 18 genomic regions previously reported to be strongly associated with PD (including the HLA locus). Our findings, therefore, provide independent support to the strong association signal at the HLA locus and imply that the immune-related genetic susceptibility to PD is likely to be more widespread in the genome than previously appreciated.
Published: 2013

20. Analysis of 10 independent samples provides evidence for association between schizophrenia and a SNP flanking fibroblast growth factor receptor 2

Author: O'Donovan, MC, Norton, N, Williams, H, Peirce, T, Moskvina, V, Nikolov, I, Hamshere, M, Carroll, L, Georgieva, L, Dwyer, S, Holmans, P, Marchini, JL, Spencer, CCA, Howie, B, Leung, H-T, Giegling, I, Hartmann, AM, Möller, H-J, Morris, DW, Shi, Y, Feng, G, Hoffmann, P, Propping, P, Vasilescu, C, Maier, W, Rietschel, M, Zammit, S, Schumacher, J, Quinn, EM, Schulze, TG, Iwata, N, Ikeda, M, Darvasi, A, Shifman, S, He, L, Duan, J, Sanders, AR, Levinson, DF, Adolfsson, R, Ösby, U, Terenius, L, Jönsson, EG, Cichon, S, Nöthen, MM, Gill, M, Corvin, AP, Rujescu, D, Gejman, PV, Kirov, G, Craddock, N, Williams, NM, Owen, MJ, Buccola, NG, Mowry, BJ, Freedman, R, Amin, F, Black, DW, Silverman, JM, Byerley, WJ, and Cloninger, CR
Subjects: Adult, Male, Linkage disequilibrium, Genotype, Genome-wide association study, Single-nucleotide polymorphism, Biology, Polymorphism, Single Nucleotide, Linkage Disequilibrium, Article, Cellular and Molecular Neuroscience, Young Adult, Gene Frequency, Meta-Analysis as Topic, Polymorphism (computer science), SNP, Humans, Genetic Predisposition to Disease, Allele, Receptor, Fibroblast Growth Factor, Type 2, Molecular Biology, Allele frequency, Aged, Genetics, Aged, 80 and over, Fibroblast growth factor receptor 2, Chromosomes, Human, Pair 10, Middle Aged, Psychiatry and Mental health, Schizophrenia, Female, Genome-Wide Association Study
Abstract: We and others have previously reported linkage to schizophrenia on chromosome 10q25-q26 but, to date, a susceptibility gene in the region has not been identified. We examined data from 3606 single-nucleotide polymorphisms (SNPs) mapping to 10q25-q26 that had been typed in a genome-wide association study (GWAS) of schizophrenia (479 UK cases/2937 controls). SNPs with P
Published: 2016

21. No evidence that extended tracts of homozygosity are associated with Alzheimer's disease

Author: Denise Harold, B. McGuiness, Amy Gerrish, David M. A. Mann, Michael Conlon O'Donovan, Petroula Proitsi, Aoibhinn Lynch, Gill Livingston, Simon Mead, Seth Love, John Hardy, Lesley Jones, D. Craig, Peter Holmans, John Powell, Hugh Gurling, David C. Rubinsztein, A. D. Smith, St. Todd, Dobril Ivanov, Sarah Dwyer, Kevin Morgan, N Bass, Kimberley Dowzell, Peter Passmore, J.A. Johnston, Charlene Thomas, Kristelle Brown, Rebecca Sims, John Collinge, Michael Gill, Valentina Moskvina, Brian A. Lawlor, Jaspreet Singh Pahwa, Patrick G. Kehoe, Paul Hollingworth, Clive Holmes, Martin N. Rossor, M. J. Owen, Andrew McQuillin, Michelle K. Lupton, Carol Brayne, Julie Williams, Nick C. Fox, Alexandra Stretton, Simon Lovestone, Jade Chapman, Richard Abraham, Nicola Jones, Neurology, and NCA - Neurodegeneration
Subjects: Male, Genome-wide association study, Single-nucleotide polymorphism, Disease, Runs of Homozygosity, Biology, Cellular and Molecular Neuroscience, Alzheimer Disease, medicine, Humans, Genetic Predisposition to Disease, Genetics (clinical), Aged, Aged, 80 and over, Genetics, Homozygote, Case-control study, medicine.disease, Psychiatry and Mental health, Genes, Schizophrenia, Case-Control Studies, Female, Alzheimer's disease, Chromosomes, Human, Pair 8, Genome-Wide Association Study
Abstract: We sought to investigate the contribution of extended runs of homozygosity in a genome-wide association dataset of 1,955 Alzheimer's disease cases and 955 elderly screened controls genotyped for 529,205 autosomal single nucleotide polymorphisms. Tracts of homozygosity may mark regions inherited from a common ancestor and could reflect disease loci if observed more frequently in cases than controls. We found no excess of homozygous tracts in Alzheimer's disease cases compared to controls and no individual run of homozygosity showed association to Alzheimer's disease. © 2011 Wiley-Liss, Inc.
Published: 2016

22. Strong genetic evidence for a selective influence of GABAA receptors on a component of the bipolar disorder phenotype

Author: Katherine Gordon-Smith, Michael Conlon O'Donovan, E. Russell, Nicholas John Craddock, Damjan Vukcevic, Nadine Norton, Christine Fraser, I. N. Ferrier, Lisa Jones, Michael John Owen, Valentina Moskvina, Peter Donnelly, D. A. Collier, A. H. Young, Detelina Grozeva, Elaine K. Green, Peter Holmans, Anne Farmer, Sian Caesar, Peter McGuffin, Ivan Nikolov, George Kirov, Ian Jones, D. St Clair, G. D. Breen, and Marian L. Hamshere
Subjects: Adult, Male, Psychosis, Bipolar Disorder, Adolescent, Statistics as Topic, Population, GABRA5, GABRA4, Schizoaffective disorder, Genome-wide association study, Polymorphism, Single Nucleotide, Article, Young Adult, Cellular and Molecular Neuroscience, Gene Frequency, medicine, Humans, Genetic Predisposition to Disease, Bipolar disorder, education, Molecular Biology, Aged, Genetics, education.field_of_study, biology, Middle Aged, Receptors, GABA-A, medicine.disease, Psychiatry and Mental health, Phenotype, Schizophrenia, biology.protein, Female, Chromosomes, Human, Pair 4, Psychology, Neuroscience, Genome-Wide Association Study
Abstract: Despite compelling evidence for a major genetic contribution to risk of bipolar mood disorder, conclusive evidence implicating specific genes or pathophysiological systems has proved elusive. In part this is likely to be related to the unknown validity of current phenotype definitions and consequent aetiological heterogeneity of samples. In the recent Wellcome Trust Case Control Consortium genome-wide association analysis of bipolar disorder (1868 cases, 2938 controls) one of the most strongly associated polymorphisms lay within the gene encoding the GABA(A) receptor beta1 subunit, GABRB1. Aiming to increase biological homogeneity, we sought the diagnostic subset that showed the strongest signal at this polymorphism and used this to test for independent evidence of association with other members of the GABA(A) receptor gene family. The index signal was significantly enriched in the 279 cases meeting Research Diagnostic Criteria for schizoaffective disorder, bipolar type (P=3.8 x 10(-6)). Independently, these cases showed strong evidence that variation in GABA(A) receptor genes influences risk for this phenotype (independent system-wide P=6.6 x 10(-5)) with association signals also at GABRA4, GABRB3, GABRA5 and GABRR3. [corrected] Our findings have the potential to inform understanding of presentation, pathogenesis and nosology of bipolar disorders. Our method of phenotype refinement may be useful in studies of other complex psychiatric and non-psychiatric disorders.
Published: 2016

23. [Procedure for intraoperative material examination in breast cancer after neoadjuvant therapy to estimate residual cancer burden using the RCB system]

Author: G A Frank, S S Loktev, Yu Yu Andreeva, T A Berezina, L V Moskvina, and Yu L Podberezina
Subjects: 0301 basic medicine, Oncology, Adult, medicine.medical_specialty, Neoplasm, Residual, medicine.medical_treatment, Residual cancer, Breast Neoplasms, Tumor response, Pathology and Forensic Medicine, 03 medical and health sciences, 0302 clinical medicine, Breast cancer, Internal medicine, medicine, Adjuvant therapy, Humans, Neoadjuvant therapy, Chemotherapy, Intraoperative Care, business.industry, Therapeutic effect, medicine.disease, Neoadjuvant Therapy, 030104 developmental biology, 030220 oncology & carcinogenesis, Female, business, Primary breast cancer
Abstract: Currently, neoadjuvant therapy has been shown to be effective in treating HER2-positive breast cancer; the development and assessment of novel medications and therapy regimens are being continued. A tumor response to the treatment is the most important factor in planning adjuvant therapy. The use of different systems to evaluate a therapeutic effect gives rise to significant differences in estimating the rate of complete morphological regression according to the results of performed therapy. The paper describes a procedure to estimate cancer burden using the RCB system. This procedure is highly reproducible and recommended by the 2015 European Society for Medical Oncology Clinical Practice Guidelines for the management of primary breast cancer.В последнее время показана высокая эффективность неоадъювантной терапии HER2-позитивного рака молочной железы, продолжается разработка и оценка новых препаратов и терапевтических схем. Ответ опухоли на лечение является важнейшим фактором при планировании адъювантной терапии. Использование различных систем оценки лечебного эффекта приводит к значительным отличиям в определении частоты полного морфологического регресса по результатам проведенной терапии. В статье описана методика определения остаточной опухолевой нагрузки по системе RCB. Данная методика является высоковоспроизводимой, рекомендована клиническим руководством лечения первичного рака молочной железы 2015 г. Европейского общества онкологов.
Published: 2016

24. [A clinical case of combined treatment of a patient with breast cancer and metastases to the brain and meninges]

Author: A.Kh. Bekyashev, D. M. Belov, T. G. Gasparyan, D. R. Naskhletashvili, E. A. Moskvina, and S. V. Medvedev
Subjects: 0301 basic medicine, Adult, medicine.medical_specialty, Breast Neoplasms, Metastasis, Capecitabine, 03 medical and health sciences, 0302 clinical medicine, Combined treatment, Breast cancer, medicine, Meningeal Neoplasms, Humans, Meningeal Neoplasm, Neoplasm Metastasis, business.industry, Brain Neoplasms, Meninges, Chemoradiotherapy, medicine.disease, Surgery, 030104 developmental biology, medicine.anatomical_structure, 030220 oncology & carcinogenesis, Female, Neurology (clinical), Radiology, Clinical case, business, medicine.drug
Abstract: The article describes a clinical case of successful chemotherapeutic and radiation treatment of a patient with breast cancer and metastases to the brain and meninges and with a pronounced neurological deficit. The patient underwent combined treatment (whole brain radiation with TBD of 30 Gy and local radiation of a metastasis with TBD of 15 Gy associated with capecitabine therapy) with continued administration of capecitabine until improvement. A partial metastasis reduction by 50% and complete regression of the neurological deficit were observed. Disease-free period was 1 year and 10 months, and the overall survival amounted to 2 years.Рассматривается клинический случай успешного химиотерапевтического и лучевого лечения больной раком молочной железы с метастазами в головной мозг, с поражением его оболочек и с выраженным неврологическим дефицитом. Проводилось комбинированное лечение (облучение всего головного мозга СОД 30 Гр и локальное облучение метастаза СОД 15 Гр на фоне приема капецитабина) с дальнейшим приемом капецитабина до частичного улучшения - метастаз уменьшился на 50%, наступил полный регресс неврологического дефицита. Безрецидивный период составил 1 год и 10 мес, общая выживаемость - 2 года.
Published: 2016

25. [Diagnostic value of estimation of ERG expression in prostate adenocarcinoma and high-grade prostatic intraepithelial neoplasia]

Author: L V Moskvina, Daria Allina, T. V. Kekeeva, A. A. Shikeeva, Yu Yu Andreeva, L E Zavalishina, and G A Frank
Subjects: Adult, Male, Pathology, medicine.medical_specialty, genetic structures, Oncogene Proteins, Fusion, Biology, Adenocarcinoma, TMPRSS2, Pathology and Forensic Medicine, Diagnosis, Differential, Transcriptional Regulator ERG, Prostate, medicine, Carcinoma, Biomarkers, Tumor, Humans, High-grade prostatic intraepithelial neoplasia, Aged, Prostatic Intraepithelial Neoplasia, Intraepithelial neoplasia, Serine Endopeptidases, Prostatic Neoplasms, Middle Aged, medicine.disease, Prognosis, eye diseases, Gene Expression Regulation, Neoplastic, medicine.anatomical_structure, Trans-Activators, sense organs, Neoplasm Grading, Erg
Abstract: to estimate the diagnostic and prognostic value of analyzing the abnormal overexpression of the chimeric protein ERG, encoded by the chimeric gene TMPRSS2/ERG, in prostatic neoplasias.A total of 100 prostate adenocarcinoma samples were examined. The presence of tumor and high-grade prostatic intraepithelial neoplasia (hPIN) was verified by immunohistochemical tests using anti-P504S and anti-34βE12 antibodies in serial sections; RT-PCR was employed to analyze the chimeric transcript TMPRSS2/ERG in 30 prostate adenocarcinoma samples.ERG expression was noted in 46% of the adenocarcinomas and in 21% of hPIN. Eight (8%) patients were observed to have heterogeneous ERG expression: the marked reaction in some tumor portions was concurrent with its complete absence in others. Furthermore, there was ERG expression in all cases of intraductal (noninvasive) carcinoma (the foci of intraductal carcinoma were assessed as atypical cribriform lesions by light microscopy). The prognostic value of ERG expression could not be determined at the current stage of the investigation.The relatively low rate of ERG-positive hPIN counts in favor of the limited role of this marker in the differential diagnosis of hPIN. ERG in combination with P504S and 34βE12 is an informative marker for the differential diagnosis of hPIN with intraductal carcinoma.Цель исследования - оценка диагностической и прогностической значимости анализа аномальной гиперэкспрессии химерного белка ERG, кодируемого химерным геном TMPRSS2/ERG, в неоплазиях предстательной железы. Материал и методы. Исследовано 100 образцов аденокарциномы предстательной железы. Наличие опухоли и простатическая интраэпителиальная неоплазия высокой степени (вПИН) подтверждались иммуногистохимическими реакциями с антителами P504S и 34βE12 на серийных срезах, анализ экспрессии ERG проводился иммуногистохимическим методом на тех же сериях срезов. Анализ химерного транскрипта TMPRSS2/ERG проводился в 30 образцах аденокарциномы методом ОТ-ПЦР. Результаты. Экспрессия ERG отмечена в 46% аденокарцином и в 21% вПИН. У 8 (8%) пациентов наблюдалась гетерогенная экспрессия ERG: выраженная реакция в одних участках сочеталась с полным ее отсутствием в других участках опухоли. Кроме того, была отмечена экспрессия ERG во всех случаях внутрипротоковой (неинвазивной) карциномы (на уровне световой микроскопии очаги внутрипротоковой карциномы расценены как атипические крибриформные поражения). Прогностическое значение экспрессии ERG на текущем этапе исследования выявить не удалось. Заключение. Относительно низкая частота ERG-положительных вПИН свидетельствует в пользу ограниченной роли данного маркера в дифференциальной диагностике вПИН. В сочетании с P504S и 34βE12 ERG - информативный маркер для дифференциальной диагностики вПИН с внутрипротоковой карциномой.
Published: 2016

26. Studies of oxidant-induced changes in albumin transport function with a fluorescent probe K-35. Effect of hypochlorite

Author: E. M. Beckman, G. E. Dobretsov, O. I. Skotnikova, N. V. Smolina, O. A. Azizova, A. V. Aseychev, Yu. A. Gryzunov, and S. N. Moskvina
Subjects: Hypochlorite, Oxidative phosphorylation, Naphthalenes, Imides, Protein oxidation, General Biochemistry, Genetics and Molecular Biology, Protein Carbonylation, chemistry.chemical_compound, Blood plasma, Humans, Binding site, Serum Albumin, Fluorescent Dyes, Binding Sites, Chromatography, Chemistry, Albumin, General Medicine, Oxidants, Fluorescence, Hypochlorous Acid, Kinetics, Protein Transport, Spectrometry, Fluorescence, Tyrosine, Oxidation-Reduction, Function (biology), Protein Binding
Abstract: The dynamics of changes in albumin transport function during hypochlorite-induced oxidation of isolated albumin in blood plasma and serum was studied with a fluorescent probe K-35. Binding of the probe K-35 to albumin was characterized by effective concentration of albumin. Oxidative modification of proteins was evaluated by the content of carbonyl products of protein oxidation and bityrosine fluorescent products. Oxidation with hypochlorite was accompanied by a decrease in the effective concentration of albumin in albumin, diluted plasma, and serum and accumulation of carbonyl products of protein oxidation and bityrosine fluorescent products. The decrease in the effective concentration of albumin during oxidation with hypochlorite can be explained by oxidative damage to albumin binding sites. Oxidative modification of probe K-35 binding sites with hypochlorite contributes to a decrease in effective concentration of albumin under pathological conditions.
Published: 2012

27. No consistent evidence for association between mtDNA variants and Alzheimer disease

Author: G, Hudson, R, Sims, D, Harold, J, Chapman, P, Hollingworth, A, Gerrish, G, Russo, M, Hamshere, V, Moskvina, N, Jones, C, Thomas, A, Stretton, P A, Holmans, M C, O'Donovan, M J, Owen, J, Williams, P F, Chinnery, and Julie, Williams
Subjects: Genetics, Mitochondrial DNA, education.field_of_study, Population, Genetic Variation, Articles, Biology, medicine.disease, DNA, Mitochondrial, Polymorphism, Single Nucleotide, Cohort Studies, Alzheimer Disease, Polymorphism (computer science), Meta-analysis, Genetic variation, medicine, Etiology, Humans, Neurology (clinical), Alzheimer's disease, education, Genetic Association Studies, Human mitochondrial DNA haplogroup
Abstract: Objective: Although several studies have described an association between Alzheimer disease (AD) and genetic variation of mitochondrial DNA (mtDNA), each has implicated different mtDNA variants, so the role of mtDNA in the etiology of AD remains uncertain. Methods: We tested 138 mtDNA variants for association with AD in a powerful sample of 4,133 AD case patients and 1,602 matched controls from 3 Caucasian populations. Of the total population, 3,250 case patients and 1,221 elderly controls met the quality control criteria and were included in the analysis. Results: In the largest study to date, we failed to replicate the published findings. Meta-analysis of the available data showed no evidence of an association with AD. Conclusion: The current evidence linking common mtDNA variations with AD is not compelling.
Published: 2012

28. Telomere Length is a Biomarker of Cumulative Oxidative Stress, Biologic Age, and an Independent Predictor of Survival and Therapeutic Treatment Requirement Associated With Smoking Behavior

Author: Ekaterina L. Savel’yeva, Mark A. Babizhayev, Yegor E. Yegorov, and Svetlana N Moskvina
Subjects: Adult, Male, Aging, Adolescent, Free Radicals, Population, Inflammation, medicine.disease_cause, Pathogenesis, Pulmonary Disease, Chronic Obstructive, Young Adult, Neoplasms, Smoke, White blood cell, Tobacco, medicine, Humans, Pharmacology (medical), education, Telomere Shortening, Aged, Pharmacology, Genetics, education.field_of_study, business.industry, Smoking, Telomere Homeostasis, Cancer, Tobacco Products, General Medicine, Middle Aged, medicine.disease, Telomere, Oxidative Stress, medicine.anatomical_structure, Cardiovascular Diseases, Immunology, Biomarker (medicine), Female, medicine.symptom, business, Biomarkers, Oxidative stress
Abstract: Globally, tobacco use is associated with 5 million deaths per annum and is regarded as one of the leading causes of premature death. Major chronic disorders associated with smoking include cardiovascular diseases, several types of cancer, and chronic obstructive pulmonary disease (lung problems). Cigarette smoking (CS) generates a cumulative oxidative stress, which may contribute to the pathogenesis of chronic diseases. Mainstream and side stream gas-phase smoke each have about the same concentration of reactive free radical species, about 1 × 10(16) radicals per cigarette (or 5 × 10(14) per puff). This effect is critical in understanding the biologic effects of smoke. Several lines of evidence suggest that cigarette smoke constituents can directly activate vascular reactive oxygen species production. In this work we present multiple evidence that CS provide the important risk factors in many age-related diseases, and is associated with increased cumulative and systemic oxidative stress and inflammation. The cited processes are marked by increased white blood cell (leucocytes, WBCs) turnover. The data suggest an alteration of the circulating WBCs by CS, resulting in increased adherence to endothelial cells. Telomeres are complex DNA-protein structures located at the end of eukaryotic chromosomes. Telomere length shortens with biologic age in all replicating somatic cells. It has been shown that tobacco smoking enhances telomere shortening in circulating human WBCs. Telomere attrition (expressed in WBCs) can serve as a biomarker of the cumulative oxidative stress and inflammation induced by smoking and, consequently, show the pace of biologic aging. We originally propose that patented specific oral formulations of nonhydrolized carnosine and carcinine provide a powerful tool for targeted therapeutic inhibition of cumulative oxidative stress and inflammation and protection of telomere attrition associated with smoking. The longitudinal studies of the clinical population groups described in this study including elderly support the hypothesis that telomere length is a predictor of survival and therapeutic treatment requirement associated with smoking behavior.
Published: 2011

29. Genome-wide pooling approach identifies SPATA5 as a new susceptibility locus for alopecia areata

Author: Sibylle Eigelshoven, A. Jung, Bettina Blaumeiser, Markus Böhm, Margrieta A. Alblas, Christian Meesters, Natalie Garcia Bartels, Matthias Goebeler, Lina M Forstbauer, Wiebke K. Peitsch, Felix F. Brockschmidt, Stefanie Heilmann, Ingrid Moll, Kathrin A. Giehl, Alexandra Herzog, Regina C. Betz, Silke Redler, George Kirov, Valentina Moskvina, Hans Christian Hennies, Ulrike Blume-Peytavi, Jennifer Kuhn, Florian Albert, Axel M. Hillmer, Gerhard Lutz, Roland Kruse, Anne-Katrin Kortüm, Hans Wolff, Dagny Jagielska, Christine Herold, Sandra Hanneken, Tim Becker, and Markus M. Nöthen
Subjects: Alopecia Areata, Genotype, Genome-wide association study, Locus (genetics), Single-nucleotide polymorphism, Human leukocyte antigen, Biology, Polymorphism, Single Nucleotide, Article, Genetics, medicine, Humans, SNP, Genetic Predisposition to Disease, ddc:610, Allele, genetics [Alopecia Areata], Genotyping, Alleles, Genetics (clinical), Reproducibility of Results, Alopecia areata, medicine.disease, Chemistry, Genetic Loci, Case-Control Studies, Human medicine, Follow-Up Studies, Genome-Wide Association Study
Abstract: Alopecia areata (AA) is a common hair loss disorder, which is thought to be a tissue-specific autoimmune disease. Previous research has identified a few AA susceptibility genes, most of which are implicated in autoimmunity. To identify new genetic variants and further elucidate the genetic basis of AA, we performed a genome-wide association study using the strategy of pooled DNA genotyping (729 cases, 656 controls). The strongest association was for variants in the HLA region, which confirms the validity of the pooling strategy. The selected top 61 single-nucleotide polymorphisms (SNPs) were analyzed in an independent replication sample (454 cases, 1364 controls). Only one SNP outside of the HLA region (rs304650) showed significant association. This SNP was then analyzed in a second independent replication sample (537 cases, 657 controls). The finding was not replicated on a significant level, but showed the same tendency. A combined analysis of the two replication samples was then performed, and the SNP rs304650 showed significant association with P=3.43 x 10(-4) (OR=1.24 (1.10-1.39)). This SNP maps to an intronic region of the SPATA5 (spermatogenesis-associated protein 5) gene on chromosome 4. The results therefore suggest the SPATA5 locus is a new susceptibility locus for AA. European Journal of Human Genetics (2012) 20, 326-332; doi:10.1038/ejhg.2011.185; published online 26 October 2011
Published: 2011

30. Genome-wide association study identifies five new schizophrenia loci

Author: Ripke, S., Sanders, A. R., Kendler, K. S., Levinson, D. F., Sklar, P., Holmans, P. A., Lin, D., Duan, J., Ophoff, R. A., Andreassen, O. A., Scolnick, E., Cichon, S., Clair, D. S., Corvin, A., Gurling, H., Werge, T., Rujescu, D., D. H. R., Pato, C. N., Malhotra, A. K., Purcell, S., Dudbridge, F., Neale, B. M., Rossin, L., Visscher, P. M., Posthuma, D., Ruderfer, D. M., Fanous, A., Stefansson, H., Steinberg, S., Mowry, B. J., Golimbet, V., Hert, M. D., Jönsson, E. G., Bitter, I., O. P. H., Collier, D. A., Tosato, Sarah, Agartz, I., Albus, M., Alexander, M., Amdur, R. L., Amin, F., Bass, N., Bergen, S. E., Black, D. W., Børglum, A. D., Brown, M. A., Bruggeman, R., Buccola, N. G., Byerley, W. F., Cahn, W., Cantor, R. M., Carr, V. J., Catts, S. V., Choudhury, K., Cloninger, C. R., Cormican, P., Craddock, N., Danoy, P. A., Datta, S., Haan, L. d., Demontis, D., Dikeos, D., Djurovic, S., Donnelly, P., Donohoe, G., Duong, L., Dwyer, S., Fink Jensen, A., Freedman, R., Freimer, N. B., Friedl, M., Georgieva, L., Giegling, I., Gill, M., Glenthøj, B., Godard, S., Hamshere, M., Hansen, M., Hansen, T., Hartmann, A. M., Henskens, F. A., Hougaard, D. M., Hultman, C. M., Ingason, A., Jablensky, A. V., Jakobsen, K. D., Jay, M., Jürgens, G., Kahn, R. S., Keller, M. C., Kenis, G., Kenny, E., Kim, Y., Kirov, G. K., Konnerth, H., Konte, B., Krabbendam, L., Krasucki, R., Lasseter, V. K., Laurent, C., Lawrence, J., Lencz, T., Lerer, F. B., Liang, K., Lichtenstein, P., Lieberman, J. A., Linszen, D. H., Lönnqvist, J., Loughland, C. M., Maclean, A. W., Maher, B. S., Maier, W., Mallet, J., Malloy, P., Mattheisen, M., Mattingsdal, M., Mcghee, K. A., Mcgrath, J. J., Mcintosh, A., Mclean, D. E., Mcquillin, A., Melle, I., Michie, P. T., Milanova, V., Morris, D. W., Mors, O., Mortensen, P. B., Moskvina, V., Muglia, P., Myin Germeys, I., Nertney, D. A., Nestadt, G., Nielsen, J., Nikolov, I., Nordentoft, M., Norton, N., Nöthen, M. M., O'Dushlaine, C. T., Olincy, A., Olsen, L., O'Neill, F. A., Orntoft, T. F., Owen, M. J., Pantelis, C., Papadimitriou, G., Pato, M. T., Peltonen, L., Petursson, H., Pickard, B., Pimm, J., Pulver, A. E., Puri, V., Quested, D., Quinn, E. M., Rasmussen, H. B., Réthelyi, J. M., Ribble, R., Rietschel, M., Riley, B. P., Ruggeri, Mirella, Schall, U., Schulze, T. G., Schwab, S. G., Scott, R. J., Shi, J., Sigurdsson, E., Silverman, J. M., C. C. A., Stefansson, K., Strange, A., Strengman, E., Stroup, T. S., Suvisaari, J., Terenius, L., Thirumalai, S., Thygesen, J. H., Timm, S., Toncheva, D., Den, E. v., J. v., Os, Winkel, R. v., Veldink, J., Walsh, D., Wang, A. G., Wiersma, D., Wildenauer, D. B., Williams, H. J., Williams, N. M., Wormley, B., Zammit, S., Sullivan, P. F., O'Donovan, M. C., Daly, M. J., Gejman, P. V., Genome Wide, S. P., ANS - Amsterdam Neuroscience, Adult Psychiatry, Functional Genomics, Educational Neuroscience, Clinical Child and Family Studies, Neuroscience Campus Amsterdam - integrative Analysis & Modeling, Neuroscience Campus Amsterdam - Attention & Cognition, LEARN! - Brain, learning and development, Psychiatrie & Neuropsychologie, and RS: MHeNs School for Mental Health and Neuroscience
Subjects: Male, Gene Dosage, Biology, VARIANTS, SUSCEPTIBILITY, ANCESTRY, Polymorphism, Single Nucleotide, Article, Linkage Disequilibrium, White People, 03 medical and health sciences, 0302 clinical medicine, microRNA, Genetics, Humans, Genetic Predisposition to Disease, Alleles, 030304 developmental biology, 0303 health sciences, Genome, Genome, Human, HERITABILITY, MICRORNA, BIPOLAR DISORDER, 3. Good health, schizophrenia, COMMON SNPS EXPLAIN, MicroRNAs, INDIVIDUALS, Logistic Models, Gene Expression Regulation, Haplotypes, LARGE PROPORTION, Genetic Loci, Case-Control Studies, Mutation, Female, HUMAN HEIGHT, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: We examined the role of common genetic variation in schizophrenia in a genome-wide association study of substantial size: a stage 1 discovery sample of 21,856 individuals of European ancestry and a stage 2 replication sample of 29,839 independent subjects. The combined stage 1 and 2 analysis yielded genome-wide significant associations with schizophrenia for seven loci, five of which are new (1p21.3, 2q32.3, 8p23.2, 8q21.3 and 10q24.32-q24.33) and two of which have been previously implicated (6p21.32-p22.1 and 18q21.2). The strongest new finding (P = 1.6 × 10 -11) was with rs1625579 within an intron of a putative primary transcript for MIR137 (microRNA 137), a known regulator of neuronal development. Four other schizophrenia loci achieving genome-wide significance contain predicted targets of MIR137, suggesting MIR137-mediated dysregulation as a previously unknown etiologic mechanism in schizophrenia. In a joint analysis with a bipolar disorder sample (16,374 affected individuals and 14,044 controls), three loci reached genome-wide significance: CACNA1C (rs4765905, P = 7.0 × 10 -9), ANK3 (rs10994359, P = 2.5 × 10 -8) and the ITIH3-ITIH4 region (rs2239547, P = 7.8 × 10 -9). © 2011 Nature America, Inc. All rights reserved.
Published: 2011

31. Polygenic dissection of the bipolar phenotype

Author: Michael Conlon O'Donovan, I. N. Ferrier, Pamela Sklar, Detelina Grozeva, Peter Holmans, Peter McGuffin, A. H. Young, Hugh Gurling, N Bass, Andrew McQuillin, George Kirov, Ian Jones, D. St Clair, Michael John Owen, Valentina Moskvina, Anne Farmer, Marian L. Hamshere, Shaun Purcell, Lisa Jones, Elaine K. Green, and Nicholas John Craddock
Subjects: Multifactorial Inheritance, Psychosis, medicine.medical_specialty, Bipolar Disorder, Adolescent, Genotype, Genetic Linkage, Research Diagnostic Criteria, Genome-wide association study, Polymorphism, Single Nucleotide, Genetic determinism, 03 medical and health sciences, 0302 clinical medicine, International Classification of Diseases, mental disorders, medicine, Genetic predisposition, Humans, Genetic Predisposition to Disease, 030212 general & internal medicine, Bipolar disorder, Psychiatry, Alleles, medicine.disease, United Kingdom, 030227 psychiatry, Diagnostic and Statistical Manual of Mental Disorders, Psychiatry and Mental health, Logistic Models, Phenotype, Psychotic Disorders, Schizophrenia, Case-Control Studies, Papers, sense organs, Psychology, Clinical psychology, Psychopathology
Abstract: BackgroundRecent data provide strong support for a substantial common polygenic contribution (i.e. many alleles each of small effect) to genetic susceptibility for schizophrenia and overlapping susceptibility for bipolar disorder.AimsTo test hypotheses about the relationship between schizophrenia and psychotic types of bipolar disorder.MethodUsing a polygenic score analysis to test whether schizophrenia polygenic risk alleles, en masse, significantly discriminate between individuals with bipolar disorder with and without psychotic features. The primary sample included 1829 participants with bipolar disorder and the replication sample comprised 506 people with bipolar disorder.ResultsThe subset of participants with Research Diagnostic Criteria schizoaffective bipolar disorder (n = 277) were significantly discriminated from the remaining participants with bipolar disorder (n = 1552) in both the primary (P = 0.00059) and the replication data-sets (P = 0.0070). In contrast, those with psychotic bipolar disorder as a whole were not significantly different from those with non-psychotic bipolar disorder in either data-set.ConclusionsGenetic susceptibility influences at least two major domains of psychopathological variation in the schizophrenia–bipolar disorder clinical spectrum: one that relates to expression of a ‘bipolar disorder-like’ phenotype and one that is associated with expression of ‘schizophrenia-like’ psychotic symptoms.
Published: 2011

32. Population structure and genome-wide patterns of variation in Ireland and Britain

Author: Colm O'Dushlaine, Michael Gill, Aiden Corvin, Valentina Moskvina, Derek W. Morris, James F. Wilson, Gianpiero L. Cavalleri, and George Kirov
Subjects: Linkage disequilibrium, Genotype, Population, Population genetics, Polymorphism, Single Nucleotide, Article, Linkage Disequilibrium, 03 medical and health sciences, Irish, Genetic variation, Genetics, Humans, Genetics(clinical), Bulgaria, education, Genetics (clinical), 030304 developmental biology, Sweden, Principal Component Analysis, 0303 health sciences, education.field_of_study, Genetic diversity, Geography, Portugal, Genome, Human, Ecology, 030305 genetics & heredity, Genetic Variation, Bayes Theorem, Cline (biology), United Kingdom, language.human_language, Europe, Genetics, Population, Haplotypes, Scotland, Genetic structure, language, Ireland
Abstract: Located off the northwestern coast of the European mainland, Britain and Ireland were among the last regions of Europe to be colonized by modern humans after the last glacial maximum. Further, the geographical location of Britain, and in particular of Ireland, is such that the impact of historical migration has been minimal. Genetic diversity studies applying the Y chromosome and mitochondrial systems have indicated reduced diversity and an increased population structure across Britain and Ireland relative to the European mainland. Such characteristics would have implications for genetic mapping studies of complex disease. We set out to further our understanding of the genetic architecture of the region from the perspective of (i) population structure, (ii) linkage disequilibrium (LD), (iii) homozygosity and (iv) haplotype diversity (HD). Analysis was conducted on 3654 individuals from Ireland, Britain (with regional sampling in Scotland), Bulgaria, Portugal, Sweden and the Utah HapMap collection. Our results indicate a subtle but clear genetic structure across Britain and Ireland, although levels of structure were reduced in comparison with average cross-European structure. We observed slightly elevated levels of LD and homozygosity in the Irish population compared with neighbouring European populations. We also report on a cline of HD across Europe with greatest levels in southern populations and lowest levels in Ireland and Scotland. These results are consistent with our understanding of the population history of Europe and promote Ireland and Scotland as relatively homogenous resources for genetic mapping of rare variants. European Journal of Human Genetics (2010) 18, 1248-1254; doi: 10.1038/ejhg.2010.87; published online 23 June 2010
Published: 2010

33. TheAPCVariant p.Glu1317Gln predisposes to colorectal adenomas by a novel mechanism of relaxing the target for tumorigenic somaticAPCmutations

Author: Siân Jones, Geraint T. Williams, Peter Milewski, Valentina Moskvina, Jeremy Peter Cheadle, Nada Al-Tassan, Shelley Idziaszczyk, Sally Williams, Julian R. Sampson, John Beynon, Duncan Azzopardi, D. Rhodri Davies, and Anthony R. Dallosso
Subjects: Adenoma, Genetics, Nonsynonymous substitution, Genes, APC, Base Sequence, Somatic cell, Mutant, Biology, medicine.disease, Polymerase Chain Reaction, Germline mutation, Attenuated familial adenomatous polyposis, Genotype, medicine, Cancer research, Humans, Genetic Predisposition to Disease, Allele, Colorectal Neoplasms, Gene, Chromatography, High Pressure Liquid, Germ-Line Mutation, Genetics (clinical), DNA Primers
Abstract: Multiple rare nonsynonymous variants in APC predispose to colorectal adenomas. The mechanisms through which such variants act have been unclear, but it has been proposed that a specific ("just-right") level of beta-catenin signaling is required for colorectal tumorigenesis. This appears to be mediated by selection for APC genotypes that retain one, or rarely two, 20 amino acid beta-catenin downregulating repeats (20AARs). We investigated the mechanism through which the variant p.Glu1317Gln (c.3949GC) contributes to colorectal tumorigenesis. We compared the patterns of somatic APC mutations in tumors from patients with attenuated familial adenomatous polyposis (AFAP) who did, or did not, coinherit p.Glu1317Gln with their AFAP-causing APC mutations. Only 8.2% (4/49) of tumors carrying p.Glu1317Gln had somatic mutations predicted to result in mutant polypeptides retaining a single 20AAR, compared to 62.1% (36/58) of those which did not carry this variant (P=5.64 x 10(-9)). Furthermore, tumors with p.Glu1317Gln often carried somatic mutations that were unusually early or late (downstream of the second 20AAR) in the APC open reading frame. These data support a novel mechanism in which p.Glu1317Gln in combination with other weak mutant APC alleles (generating polypepetides with zero, two, or three 20AARs) can provide the necessary growth advantage for colorectal tumorigenesis.
Published: 2009

34. Evidence for rare and common genetic risk variants for schizophrenia at protein kinase C, alpha

Author: Michael Conlon O'Donovan, Michael Gill, Derek W. Morris, Aiden Corvin, Valentina Moskvina, N. Craddock, Nigel Williams, Lyudmila Georgieva, Anne Farmer, T. Peirce, Liam S. Carroll, Hywel Williams, George Kirov, E. Greene, Pak C. Sham, Nadine Norton, Detelina Grozeva, Peter Holmans, M. J. Owen, Ian Jones, E. Russell, Sarah Dwyer, Peter McGuffin, and Dan Rujescu
Subjects: Adult, Male, Proband, Protein Kinase C-alpha, Adolescent, Genotype, Locus (genetics), Single-nucleotide polymorphism, Biology, Polymorphism, Single Nucleotide, White People, Cellular and Molecular Neuroscience, Germany, Humans, Genetic Predisposition to Disease, Bulgaria, Association mapping, Molecular Biology, Alleles, Genetic association, Genetics, Haplotype, Chromosome Mapping, United Kingdom, Pedigree, Chromosome 17 (human), Psychiatry and Mental health, Haplotypes, Psychotic Disorders, Mutation, Schizophrenia, Female, Ireland, Chromosomes, Human, Pair 17, Microsatellite Repeats
Abstract: We earlier reported a genome-wide significant linkage to schizophrenia at chromosome 17 that was identified in a single pedigree (C702) consisting of six affected, male siblings with DSM-IV schizophrenia and prominent mood symptoms. In this study, we adopted several approaches in an attempt to map the putative disease locus. First, mapping the source of linkage to chromosome 17 in pedigree C702. We refined the linkage region in family C702 to a 21-marker segment spanning 11.7 Mb at 17q23-q24 by genotyping a total of 50 microsatellites across chromosome 17 in the pedigree. Analysis of data from 1028 single nucleotide polymorphisms (SNPs) across the refined linkage region identified a single region of homozygosity present in pedigree C702 but not in 2938 UK controls. This spanned ~432 kb of the gene encoding protein kinase C, alpha (PRKCA), the encoded protein of which has been implicated in the pathogenesis of psychiatric disorders. Analysis of pedigree C702 by oligonucleotide-array comparative genome hybridization excluded the possibility that this region of homozygosity was because of a deletion. Mutation screening of PRKCA identified a rare, four-marker haplotype (C-HAP) in the 3' untranslated region of the gene, which was present in the homozygous state in all six affected members of pedigree C702. No other homozygotes were observed in genotype data for a total of 6597 unrelated Europeans (case N=1755, control N=3580 and parents of probands N=1262). Second, association analysis of C702 alleles at PRKCA. The low-frequency haplotype (C-HAP) showed a trend for association in a study of unrelated schizophrenia cases and controls from the UK (661 cases, 2824 controls, P=0.078 and odd ratio (OR)=1.9) and significant evidence for association when the sample was expanded to include cases with bipolar (N=710) and schizoaffective disorder (N=50) (psychosis sample: 1421 cases, 2824 controls, P=0.037 and OR=1.9). Given that all the affected members of C702 are male, we also undertook sex-specific analyses. This revealed that the association was strongest in males for both schizophrenia (446 male cases, 1421 male controls, P=0.008 and OR=3.9) and in the broader psychosis group (730 male cases, 1421 male controls, P=0.008 and OR=3.6). Analysis of C-HAP in follow-up samples from Ireland and Bulgaria revealed no evidence for association in either the whole sample or in males alone, and meta-analysis of all male psychosis samples yielded no significant evidence of association (969 male cases, 1939 male controls, 311 male probands P=0.304 and OR=1.4). Third, association mapping of the pedigree C702 linkage region. Independent of pedigree C702, genotype data from the Affymetrix 500k GeneChip set were available for 476 patients with schizophrenia and 2938 controls from the United Kingdom. SNPs in PRKCA showed evidence for association with schizophrenia that achieved gene-wide significance (P=0.027). Moreover, the same SNP was the most significantly associated marker out of the 1028 SNPs genotyped across the linkage region (rs873417, allelic P=0.0004). Follow-up genotyping in samples from Ireland, Bulgaria and Germany did not show consistent replication, but meta-analysis of all samples (4116 cases and 6491 controls) remained nominally significant (meta-analysis P=0.026, OR=1.1). We conclude that, although we have obtained convergent lines of evidence implicating both rare and common schizophrenia risk variants at PRKCA, none of these is individually compelling. However, the evidence across all approaches suggests that further study of this locus is warranted.
Published: 2009

35. Evidence that variation in the oligodendrocyte lineage transcription factor 2 (OLIG2) gene is associated with psychosis in Alzheimer's disease

Author: Rebecca Sims, John Powell, Michael Conlon O'Donovan, David C. Rubinsztein, Paul Hollingworth, Valentina Moskvina, Carol Brayne, M. J. Owen, Richard Abraham, Kimberley Dowzell, Julie Williams, and Simon Lovestone
Subjects: Male, Candidate gene, Psychosis, Genotype, Oligodendrocyte Transcription Factor 2, Nerve Tissue Proteins, Single-nucleotide polymorphism, Polymorphism, Single Nucleotide, OLIG2, Gene Frequency, Alzheimer Disease, Basic Helix-Loop-Helix Transcription Factors, medicine, Humans, Aged, Aged, 80 and over, Genetics, OLIG2 Gene, General Neuroscience, Middle Aged, medicine.disease, Psychotic Disorders, Schizophrenia, Female, Alzheimer's disease, Psychology, Neuroscience
Abstract: Psychotic symptoms are common in individuals with Alzheimer's disease (AD), and define a phenotype associated with more rapid cognitive and functional decline. Evidence suggests that psychotic symptoms may be influenced by genetic factors, and recent studies in schizophrenia, bipolar affective disorder (BPAD) and Alzheimer's disease with psychosis (AD+P) suggest that psychosis susceptibility or modifier genes may act across diseases. We hypothesised that oligodendrocyte lineage transcription factor 2 (OLIG2), a regulator of white matter development and a candidate gene for schizophrenia, may also be associated with psychotic symptoms in AD. We genotyped 11 SNPs in OLIG2 previously tested for association with schizophrenia [L. Georgieva, V. Moskvina, T. Peirce, N. Norton, N.J. Bray, L. Jones, P. Holmans, S. Macgregor, S. Zammit, J. Wilkinson, H. Williams, I. Nikolov, N. Williams, D. Ivanov, K.L. Davis, V. Haroutunian, J.D. Buxbaum, N. Craddock, G. Kirov, M.J. Owen, M.C. O'Donovan, Convergent evidence that oligodendrocyte lineage transcription factor 2 (OLIG2) and interacting genes influence susceptibility to schizophrenia, Proc. Natl. Acad. Sci. U.S.A. 103 (33) (2006) 12469-12474] and tested these for association with AD and AD+P. Significant evidence for association of psychotic symptoms within cases was identified for two SNPs, rs762237 (allelic P=0.002, OR=1.42, corrected P=0.019) and rs2834072 (allelic P=0.004, OR=1.41, corrected P=0.05).
Published: 2009

36. Genetic utility of broadly defined bipolar schizoaffective disorder as a diagnostic concept

Author: Allan H. Young, David A. Collier, Christine Fraser, Michael Conlon O'Donovan, I. N. Ferrier, Peter McGuffin, E. Russell, Katherine Gordon-Smith, Ian Jones, Marian L. Hamshere, Lisa Jones, George Kirov, D. St Clair, Damjan Vukcevic, Sian Caesar, Valentina Moskvina, Anne Farmer, Detelina Grozeva, Peter Holmans, Gerome Breen, Elaine K. Green, Ivan Nikolov, Nicholas John Craddock, and M. J. Owen
Subjects: Adult, Male, Bipolar Disorder, Bipolar I disorder, Adolescent, Genotype, Research Diagnostic Criteria, Genome-wide association study, Schizoaffective disorder, Polymorphism, Single Nucleotide, Genetic determinism, Young Adult, 03 medical and health sciences, Bipolar II disorder, 0302 clinical medicine, mental disorders, medicine, Humans, 030212 general & internal medicine, Bipolar disorder, Aged, Genetic association, Aged, 80 and over, Psychiatric Status Rating Scales, Serotonin Plasma Membrane Transport Proteins, Middle Aged, medicine.disease, 030227 psychiatry, Psychiatry and Mental health, Psychotic Disorders, Case-Control Studies, Papers, Female, Psychology, Genome-Wide Association Study, Clinical psychology
Abstract: BackgroundPsychiatric phenotypes are currently defined according to sets of descriptive criteria. Although many of these phenotypes are heritable, it would be useful to know whether any of the various diagnostic categories in current use identify cases that are particularly helpful for biological–genetic research.AimsTo use genome-wide genetic association data to explore the relative genetic utility of seven different descriptive operational diagnostic categories relevant to bipolar illness within a large UK case–control bipolar disorder sample.MethodWe analysed our previously published Wellcome Trust Case Control Consortium (WTCCC) bipolar disorder genome-wide association data-set, comprising 1868 individuals with bipolar disorder and 2938 controls genotyped for 276 122 single nucleotide polymorphisms (SNPs) that met stringent criteria for genotype quality. For each SNP we performed a test of association (bipolar disorder group v. control group) and used the number of associated independent SNPs statistically significant atPResultsThe RDC schizoaffective disorder, bipolar type (v. controls) stood out from the other diagnostic subsets as having a significant excess of independent association signals (PP= 2.42 × 10–7). Biological systems implicated included gamma amniobutyric acid (GABA)Areceptors. Genes having at least one associated polymorphism atP–4includedB3GALTS, A2BP1, GABRB1, AUTS2, BSN, PTPRG, GIRK2andCDH12.ConclusionsOur findings show that individuals with broadly defined bipolar schizoaffective features have either a particularly strong genetic contribution or that, as a group, are genetically more homogeneous than the other phenotypes tested. The results point to the importance of using diagnostic approaches that recognise this group of individuals. Our approach can be applied to similar data-sets for other psychiatric and non-psychiatric phenotypes.
Published: 2009

37. The bipolar disorder risk allele at CACNA1C also confers risk of recurrent major depression and of schizophrenia

Author: Anne Farmer, Elaine K. Green, Nicholas John Craddock, M. J. Owen, Christine Fraser, Ian Jones, Michael Conlon O'Donovan, Marian L. Hamshere, Peter McGuffin, George Kirov, Valentina Moskvina, Liz Forty, Detelina Grozeva, Peter Holmans, E. Russell, Ivan Nikolov, Sian Caesar, Lisa Jones, and Katherine Gordon-Smith
Subjects: Nosology, Adult, Male, medicine.medical_specialty, Calcium Channels, L-Type, Genotype, nosology, 03 medical and health sciences, Cellular and Molecular Neuroscience, 0302 clinical medicine, Recurrence, Risk Factors, medicine, Humans, genetics, Bipolar disorder, ANK3, unipolar depression, Psychiatry, Molecular Biology, Alleles, 030304 developmental biology, Genetic association, bipolar disorder, 0303 health sciences, Depressive Disorder, Major, Odds ratio, Middle Aged, medicine.disease, Mental illness, United Kingdom, 3. Good health, schizophrenia, Psychiatry and Mental health, Mood, Phenotype, classification, Schizophrenia, Original Article, Female, Psychology, 030217 neurology & neurosurgery, Clinical psychology
Abstract: Molecular genetic analysis offers opportunities to advance our understanding of the nosological relationship between psychiatric diagnostic categories in general, and the mood and psychotic disorders in particular. Strong evidence (P=7.0 × 10(-7)) of association at the polymorphism rs1006737 (within CACNA1C, the gene encoding the α-1C subunit of the L-type voltage-gated calcium channel) with the risk of bipolar disorder (BD) has recently been reported in a meta-analysis of three genome-wide association studies of BD, including our BD sample (N=1868) studied within the Wellcome Trust Case Control Consortium. Here, we have used our UK case samples of recurrent major depression (N=1196) and schizophrenia (N=479) and UK non-psychiatric comparison groups (N=15316) to examine the spectrum of phenotypic effect of the bipolar risk allele at rs1006737. We found that the risk allele conferred increased risk for schizophrenia (P=0.034) and recurrent major depression (P=0.013) with similar effect sizes to those previously observed in BD (allelic odds ratio ∼1.15). Our findings are evidence of some degree of overlap in the biological underpinnings of susceptibility to mental illness across the clinical spectrum of mood and psychotic disorders, and show that at least some loci can have a relatively general effect on susceptibility to diagnostic categories, as currently defined. Our findings will contribute to a better understanding of the pathogenesis of major psychiatric illness, and such knowledge should be useful in providing an etiological rationale for shaping psychiatric nosology, which is currently reliant entirely on descriptive clinical data.
Published: 2009

38. Genome-wide and fine-resolution association analysis of malaria in West Africa

Author: Muminatou, Jallow, Yik Ying Teo, Small, Kerrin S., Rockett, Kirk A., Panos, Deloukas, Clark, Taane G., Katja, Kivinen, Bojang, Kalifa A., Conway, David J., Margaret, Pinder, Giorgio, Sirugo, Fatou Sisay Joof, Stanley, Usen, Sarah, Auburn, Bumpstead, Suzannah J., Susana, Campino, Alison, Coffey, Andrew, Dunham, Fry, Andrew E., Angela, Green, Rhian, Gwilliam, Hunt, Sarah E., Michael, Inouye, Jeffreys, Anna E., Alieu, Mendy, Aarno, Palotie, Simon, Potter, Jiannis, Ragoussis, Jane, Rogers, Kate, Rowlands, Elilan, Somaskantharajah, Pamela, Whittaker, Claire, Widden, Peter, Donnelly, Bryan, Howie, Jonathan, Marchini, Andrew, Morris, Miguel, Sanjoaquin, Eric Akum Achidi, Tsiri, Agbenyega, Angela, Allen, Olukemi, Amodu, Patrick, Corran, Abdoulaye, Djimde, Amagana, Dolo, Doumbo, Ogobara K., Chris, Drakeley, Sarah, Dunstan, Jennifer, Evans, Jeremy, Farrar, Hien Tt, Fernando D., Horstmann, R. D., Ibrahim, M., Karunaweera, N., Kokwaro, G., Koram, K. A., Lemnge, M., Makani, J., Marsh, K., Michon, P., David, Modiano, Molyneux, M. E., Mueller, I., Parker, M., Peshu, N., Plowe, C. V., Puijalon, O., Reeder, J., Reyburn, H., Riley, E. M., Sakuntabhai, A., Singhasivanon, P., Sirima, S., Tall, A., Taylor, T. E., Thera, M., Troye Blomberg, M., Williams, T. N., Wilson, M., Wellcome Trust Case Control Consortium Kwiatkowski, D. P., Epidemiology Network: Achidi, Malaria Genomic E. A., Agbenyega, T., Ahmad, T., Alcock, D., Allen, S., Amenga Etego, L., Amodu, O., Apinjoh, T. O., Attwood, A. P., Auburn, S., Ball, S. G., Balmforth, A. J., Ban, M., Barbour, J., Barnwell, D., Barrett, J. C., Barrett, J. H., Barton, A., Bentley, D., Bishop, D. T., Bojang, K., Boorman, J. P., Bougouma, E., Bradbury, L. A., Braga Marcano, C. A., Braund, P. S., Bredin, F., Breen, G., Brown, M. A., Brown, M. J., Bruce, I. N., Bryan, C., Bull, S., Bumpstead, S. J., Burke, B., Burton, P. R., Caesar, S., Campino, S., Cant, B., Cardin, N. J., Cardon, L. R., Carucci, D., Caulfield, M., Chaney, A., Clark, T., Clayton, D. G., Collier, D. A., Compston, A., Compston, D. A., Connell, J., Conway, D., Cook, K., Corran, P., Craddock, N., Cummings, F. R., Davison, D., Deloukas, P., Devries, J., Dewasurendra, R., Diakite, M., Dixon, R. J., Djimde, A., Dobson, R., Dolo, A., Dominiczak, A., Donnelly, P., Donovan, H., Doumbo, O., Downes, K., Doyle, A., Drakeley, C., Drummond, H., Duffy, P., Duncanson, A., Dunger, D. B., Dunstan, S., Duombo, O., Easton, D., Elkin, A., Elliott, K. S., Elzein, A., Enimil, A., Evans, D., Evans, J., Everson, U., Eyre, S., Farmer, A., Farrall, M., Farrar, C., Farrar, J., Fernando, D., Ferreira, T., Ferrier, I. N., Fisher, S. A., Fitzpatrick, K., Forbes, A., Franklyn, J. A., Fraser, C., Frayling, T. M., Freathy, R. M., Ghansah, A., Ghori, J., Gilbert, P. D., Gordon Smith, K., Goris, A., Gottlieb, M., Gough, S. C., Green, A., Green, E. K., Groves, C. J., Grozeva, D., Gungadoo, J., Gwilliam, R., Hall, A. S., Hallgrimsdóttir, I. B., Hamshere, M. L., Hart, L., Hattersley, A. T., Heward, J. M., Hider, S. L., Tran Tinh Hien, Hill, A. V., Hilton, E., Hinks, A. M., Hitman, G. A., Holmans, P. A., Horstmann, Rolf D., Howie, B. N., Hubbart, C., Hughes, C., Hunt, S. E., Hussein, A., Hussey, J. M., Muntaser, Ibrahim, Iles, M. M., Inouye, M., Ishengoma, D., Jallow, M., Jeffreys, A. E., Jewell, D. P., John, Sl, Jolley, J. D., Jones, I. R., Jones, L., Jones, R. W., Nadira, Karunaweera, Keniry, A., King, E., Kirov, G., Kivinen, K., Knight, A. S., Koch, K., Gilbert, Kokwaro, Koram, Kwadwo A., Lango, H., Lathrop, G. M., Lee, K. L., Lees, C. W., Martha, Lemnge, Leung, H. T., Lewis, C. M., Lin, E., Lindgren, C. M., Ly, A., Macinnis, B., Julie, Makani, Mangano, Valentina, Mangino, M., Manjurano, A., Manning, L., Mansfield, J. C., Manske, M., Maqbool, A., Marchini, J. L., Kevin, Marsh, Maslen, G., Mathew, C. G., Mcardle, W. L., Mccarthy, M. I., Mccreight, M., Mcginnis, R., Mcguffin, P., Meech, E., Mendy, A., Pascal, Michon, Mohiuddin, M. K., Molyneux, Malcolm E., Morris, A. P., Moskvina, V., Moyes, C., Ivo, Mueller, Munroe, P. B., Mutabingwa, T., Ndila, C. M., Newhouse, S. J., Newport, M., Nikolov, I., Nimmo, E. R., Nutland, S., Nyirongo, V., O'Donovan, M. C., Oluoch, T., Onipinla, A., Onnie, C. M., Ouwehand, W. H., Owen, M. J., Michael, Parker, Parkes, M., Pembrey, M., Pereira Gale, J., Perry, J. R., Norbert, Peshu, Plowe, Christopher V., Pointon, J. J., Potter, C., Potter, S., Prescott, N. J., Prowse, C. V., Odile, Puijalon, Quyen, N. T., Ragoussis, J., Rahman, N., Ravindrarajah, R., Rayner, N. W., John, Reeder, Hugh, Reyburn, Riley, Eleanor M., Ring, S. M., Risley, P., Rockett, K. A., Rogers, J., Rowlands, K., Anavaj, Sakuntabhai, Samani, N. J., Sanderson, J., Sanjoaquin, M., Satsangi, J., Sawcer, S. J., Seal, S., Shields, B. M., Silman, A. J., Simmonds, M. J., Pratap, Singhasivanon, Sodiomon, Sirima, Sirugo, G., Small, K. S., Somaskantharajah, E., Spencer, C. C., St Clair, D., Stevens, H. E., Stevens, M., Stevens, S., Strachan, D. P., Stratton, M. R., Su, Z., Suriyaphol, P., Symmons, D. P., Adama, Tall, Taylor, N. C., Taylor, Terrie E., Teo, Y., Teo, Y. Y., Mahamadou, Thera, Thompson, J. R., Thomson, W., Timpson, N. J., Tobin, M. D., Todd, J. A., Todhunter, C. E., Toure, O., Tremelling, M., Marita Troye Blomberg, Vanderwal, A., Vukcevic, D., Walker, M., Walker, N. M., Wallace, C., Walters, G. R., Walton, R., Watkins, N. A., Watson, R., Webster, J., Weedon, M. N., Whittaker, P., Widmer, B., Williams, Thomas N., Williamson, R., Michael, Wilson, Winzer, T., Withers, D., Wordsworth, P., Worthington, J., Wrigley, R., Xue, M., Young, A. H., Yuldasheva, N., and Zeggini, E.
Subjects: Linkage disequilibrium, Hemoglobin, Sickle, Population, Genome-wide association study, Locus (genetics), Biology, Population stratification, Polymorphism, Single Nucleotide, Severity of Illness Index, Linkage Disequilibrium, Article, Gene mapping, Reference Values, Ethnicity, Genetics, Humans, education, Genetic association, education.field_of_study, Polymorphism, Genetic, Chromosome Mapping, Genetic Variation, Malaria, Gambia, Imputation (genetics), Genome-Wide Association Study
Abstract: We report a genome-wide association (GWA) study of severe malaria in The Gambia. The initial GWA scan included 2,500 children genotyped on the Affymetrix 500K GeneChip, and a replication study included 3,400 children. We used this to examine the performance of GWA methods in Africa. We found considerable population stratification, and also that signals of association at known malaria resistance loci were greatly attenuated owing to weak linkage disequilibrium (LD). To investigate possible solutions to the problem of low LD, we focused on the HbS locus, sequencing this region of the genome in 62 Gambian individuals and then using these data to conduct multipoint imputation in the GWA samples. This increased the signal of association, from P = 4 × 10(-7) to P = 4 × 10(-14), with the peak of the signal located precisely at the HbS causal variant. Our findings provide proof of principle that fine-resolution multipoint imputation, based on population-specific sequencing data, can substantially boost authentic GWA signals and enable fine mapping of causal variants in African populations.
Published: 2009

39. Genomewide association studies: history, rationale, and prospects for psychiatric disorders

Author: Stephan Ripke, Weihua Guan, Alan R. Sanders, Laura Nisenbaum, Barbara Franke, Patrick F. Sullivan, P. McGuffin, Pamela Sklar, Cathryn M. Lewis, Aravinda Chakravarti, Neale Bm, Nicholas G. Martin, Ann E. Pulver, Richard Anney, Guy A. Rouleau, Marcella Rietschel, Jordan W. Smoller, Claudine Laurent, Brien P. Riley, Thomas F. Wienker, Roy H. Perlis, Witte J.G. Hoogendijk, Ruchi Upmanyu, Jaana Suvisaari, Christina M. Hultman, Patrick J. McGrath, Susan L. Santangelo, Michael Conlon O'Donovan, Jennifer Stone, Dieter Wildenaver, Nicholas John Craddock, Edwin J. C. G. van den Oord, William Coryell, Gerard D. Schellenberg, Pablo V. Gejman, Arnoldo Frigessi, Anita Thapar, Michael Steffens, Bryan J. Mowry, Mark J. Daly, Susan L. Slager, Eve H. Pickering, Michael Gill, Audra Moran, Eco J. C. de Geus, Shaun Purcell, John P. Rice, Douglas F. Levinson, Patrick Sullivan, S. P. Hamilton, Peter Szatmari, William Lawson, Anil K. Malhotra, James B. Potash, William A. Scheftner, Federica Tozzi, Aiden Corvin, J. J. McGough, John I. Nurnberger, Alexandre A. Todorov, Joseph D. Buxbaum, Jonathan Sebat, Susan L. Smalley, Jung-Ying Tzeng, Lindsey Kent, Walter J. Muir, Michael Boehnke, Phillip Awadalla, Thomas Lehner, Valentina Moskvina, Peter Holmans, Hugh Gurling, Veronica J. Vieland, Stephen W. Scherer, Susanne Lucae, Ayman H. Fanous, Danyu Lin, Naomi R. Wray, Sibylle G. Schwab, Joseph Piven, Dorret I. Boomsma, Tiffany A. Greenwood, Sven Cichon, James S. Sutcliffe, Manuel A. R. Ferreira, Frank Dudbridge, A.H.M. Willemsen, Todd Lencz, Stafam Kloiber, Danielle Posthuma, James Offord, Matthew Flickinger, Michael John Owen, David St Clair, Roel A. Ophoff, Bernie Devlin, Douglas M. Ruderfer, Leena Peltonen, Brenda W.J.H. Penninx, Richard D. Todd, Kenneth S. Kendler, Sari Kivikko, Dan E. Arking, Elizabeth G. Holliday, Markus M. Noethen, René Breuer, John R. Kelsoe, Thomas G. Schulze, Josephine Elia, Edwin H. Cook, Nicholas J. Schork, Douglas Blackwood, Margit Burmeister, Myrna M. Weissman, Hakon Hakonarson, Laura J. Scott, Eric Mick, Pierandrea Muglia, Ole A. Andreassen, Jun Li, Stephen V. Faraone, Jan K. Buitelaar, Biological Psychology, Neuroscience Campus Amsterdam - Anxiety & Depression, and EMGO+ - Mental Health
Subjects: Netherlands Twin Register (NTR), medicine.medical_specialty, Linkage disequilibrium, Genetics and epigenetic pathways of disease [NCMLS 6], Genetic Linkage, Single-nucleotide polymorphism, Genome-wide association study, Biology, History, 21st Century, Polymorphism, Single Nucleotide, Article, Linkage Disequilibrium, Genomic disorders and inherited multi-system disorders [IGMD 3], 03 medical and health sciences, 0302 clinical medicine, medicine, Perception and Action [DCN 1], Humans, Copy-number variation, Bipolar disorder, Psychiatry, Alleles, 030304 developmental biology, Genetics, 0303 health sciences, Genome, Mental Disorders, History, 20th Century, medicine.disease, Genetic architecture, 3. Good health, Psychiatry and Mental health, Phenotype, Schizophrenia, Major depressive disorder, Functional Neurogenomics [DCN 2], 030217 neurology & neurosurgery
Abstract: Contains fulltext : 80575.pdf (Publisher’s version ) (Closed access) OBJECTIVE: The authors conducted a review of the history and empirical basis of genomewide association studies (GWAS), the rationale for GWAS of psychiatric disorders, results to date, limitations, and plans for GWAS meta-analyses. METHOD: A literature review was carried out, power and other issues discussed, and planned studies assessed. RESULTS: Most of the genomic DNA sequence differences between any two people are common (frequency >5%) single nucleotide polymorphisms (SNPs). Because of localized patterns of correlation (linkage disequilibrium), 500,000 to 1,000,000 of these SNPs can test the hypothesis that one or more common variants explain part of the genetic risk for a disease. GWAS technologies can also detect some of the copy number variants (deletions and duplications) in the genome. Systematic study of rare variants will require large-scale resequencing analyses. GWAS methods have detected a remarkable number of robust genetic associations for dozens of common diseases and traits, leading to new pathophysiological hypotheses, although only small proportions of genetic variance have been explained thus far and therapeutic applications will require substantial further effort. Study design issues, power, and limitations are discussed. For psychiatric disorders, there are initial significant findings for common SNPs and for rare copy number variants, and many other studies are in progress. CONCLUSIONS: GWAS of large samples have detected associations of common SNPs and of rare copy number variants with psychiatric disorders. More findings are likely, since larger GWAS samples detect larger numbers of common susceptibility variants, with smaller effects. The Psychiatric GWAS Consortium is conducting GWAS meta-analyses for schizophrenia, bipolar disorder, major depressive disorder, autism, and attention deficit hyperactivity disorder. Based on results for other diseases, larger samples will be required. The contribution of GWAS will depend on the true genetic architecture of each disorder.
Published: 2009

40. Association analysis of the glial cell line-derived neurotrophic factor (GDNF) gene in schizophrenia

Author: Michael Conlon O'Donovan, Valentina Moskvina, Sarah Dwyer, M. J. Owen, Hywel Williams, Nadine Norton, Nigel Williams, and T. Peirce
Subjects: Adult, Genetic Markers, Male, Candidate gene, Linkage disequilibrium, Genotype, Single-nucleotide polymorphism, Biology, Polymorphism, Single Nucleotide, Linkage Disequilibrium, Gene Frequency, Neurotrophic factors, Glial cell line-derived neurotrophic factor, Humans, Genetic Predisposition to Disease, Glial Cell Line-Derived Neurotrophic Factor, Allele frequency, Alleles, Biological Psychiatry, Genetic association, Genetics, urogenital system, Reproducibility of Results, Middle Aged, United Kingdom, Psychiatry and Mental health, nervous system, Schizophrenia, biology.protein, Chromosomes, Human, Pair 5, Female, Ireland, Neurotrophin
Abstract: The glial cell line-derived neurotrophic factor (GDNF) gene is located within a region of chromosome 5 (5p14.1-q13.3) that has been highlighted as a potential schizophrenia susceptibility locus by a number of genome scans. GDNF is neurotrophic and is also thought to be involved in differentiation of dopaminergic neurones. The GDNF gene is, therefore, a positional and functional candidate gene for schizophrenia. It is of additional interest because altered GDNF mRNA and protein expression has been reported in response to antipsychotics and the psychotomimetic phencyclidine, and two previous studies, focussed on a single variant, have reported weak support for genetic association between GDNF and schizophrenia in small samples. To test the hypothesis that GDNF is a susceptibility gene for schizophrenia, we performed a detailed association study. We chose 9 SNPs that spanned a genomic region of 40 kb and fully encompassed GDNF. SNPs were genotyped in a sample of 673 schizophrenic patients and 716 matched controls, all of Caucasian origin and all collected from the UK or Ireland. Of the 9 SNPs genotyped 2 showed nominally significant genotypic association at the P< or =0.05 level (rs2973050; OR=1.11; P-value=0.007 and rs2910702; OR=1.14; P-value=0.039). Permutation testing to allow for multiple comparisons of non-independent markers gave a corrected genotypic P-value of 0.052 for rs2973050. We also genotyped an (AGG)(n) repeat located in the 3' UTR of the GDNF but this showed no evidence for association. We conclude that our sample does not provide independent statistically significant evidence for association between GDNF and schizophrenia, nor does it replicate previous specific reports of association.
Published: 2007

41. Association analysis of AKT1 and schizophrenia in a UK case control sample

Author: Hywel Williams, Masashi Ikeda, Liam S. Carroll, Tim Peirce, Michael Conlon O'Donovan, Michael John Owen, Valentina Moskvina, Ricardo Segurado, Sarah Dwyer, Nigel Williams, Ivan Nikolov, Nakao Iwata, and Nadine Norton
Subjects: Adult, Cross-Cultural Comparison, Genetic Markers, Male, Candidate gene, Genotype, Haploview, Gene Expression, Single-nucleotide polymorphism, Biology, Polymorphism, Single Nucleotide, Gene Frequency, Japan, Humans, Genetic Predisposition to Disease, Allele, Allele frequency, Alleles, Biological Psychiatry, Genetic association, Genetics, Haplotype, Middle Aged, United Kingdom, Minor allele frequency, Psychiatry and Mental health, Haplotypes, Case-Control Studies, Schizophrenia, Female, Ireland, Proto-Oncogene Proteins c-akt
Abstract: AKT1 (V-akt murine thyoma viral oncogene homolog 1) is involved in intracellular signalling pathways postulated as of aetiological importance in schizophrenia. Markers in the AKT1 gene have also recently been associated with schizophrenia in two samples of European origin and in Japanese and Iranian samples. Aiming to replicate these findings, we examined ten SNPs spanning AKT1 in a UK case-control sample (schizophrenia cases n=673, controls n=716). These included all SNPs previously reported to be associated in European, Japanese and Iranian samples, alone or in haplotypes, as well as additional markers defined by the Haploview Tagger program (pair-wise tagging, minimum r(2)=0.8, minor allele frequency=0.02). We found no association with single markers (min p=0.17). We found weak evidence for association (p=0.04) with a four marker haplotype reported as significant in the original positive European sample of Emamian et al. [Emamian, E.S., Hall, D., Birnbaum, M.J., Karayiorgou, M., Gogos, J.A., 2004. Convergent evidence for impaired AKT1-GSK3beta signaling in schizophrenia. Nat. Genet. 36, 131-137] and also an overlapping three marker haplotype (p=0.016) that had previously been reported as significant in a Japanese sample. Nominal p-values for these haplotypes did not survive correction for multiple testing. Our study provides at best weak support for the hypothesis that AKT1 is a susceptibility gene for schizophrenia. Examination of our own data and those of other groups leads us to conclude that overall, the evidence for association of AKT1 as a susceptibility gene for schizophrenia is weakly positive, but not yet convincing.
Published: 2007

42. Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls

Author: Burton, Paul R., Clayton, David G., Cardon, Lon R., Craddock, Nick, Deloukas, Panos, Duncanson, Audrey, Kwiatkowski, Dominic P., McCarthy, Mark I., Ouwehand, Willem H., Samani, Nilesh J., Todd, John A., Donnelly, Peter, Barrett, Jeffrey C., Davison, Dan, Easton, Doug, Evans, David, Leung, Hin-Tak, Marchini, Jonathan L., Morris, Andrew P., Spencer, Chris C. A., Tobin, Martin D., Attwood, Antony P., Boorman, James P., Cant, Barbara, Everson, Ursula, Hussey, Judith M., Jolley, Jennifer D., Knight, Alexandra S., Koch, Kerstin, Meech, Elizabeth, Nutland, Sarah, Prowse, Christopher V., Stevens, Helen E., Taylor, Niall C., Walters, Graham R., Walker, Neil M., Watkins, Nicholas A., Winzer, Thilo, Jones, Richard W., McArdle, Wendy L., Ring, Susan M., Strachan, David P., Pembrey, Marcus, Breen, Gerome, St Clair, David, Caesar, Sian, Gordon-Smith, Katherine, Jones, Lisa, Fraser, Christine, Green, Elaine K., Grozeva, Detelina, Hamshere, Marian L., Holmans, Peter A., Jones, Ian R., Kirov, George, Moskvina, Valentina, Nikolov, Ivan, O'Donovan, Michael C., Owen, Michael J., Collier, David A., Elkin, Amanda, Farmer, Anne, Williamson, Richard, McGuffin, Peter, Young, Allan H., Ferrier, I. Nicol, Ball, Stephen G., Balmforth, Anthony J., Barrett, Jennifer H., Bishop, D. Timothy, Iles, Mark M., Maqbool, Azhar, Yuldasheva, Nadira, Hall, Alistair S., Braund, Peter S., Dixon, Richard J., Mangino, Massimo, Stevens, Suzanne, Thompson, John R., Bredin, Francesca, Tremelling, Mark, Parkes, Miles, Drummond, Hazel, Lees, Charles W., Nimmo, Elaine R., Satsangi, Jack, Fisher, Sheila A., Forbes, Alastair, Lewis, Cathryn M., Onnie, Clive M., Prescott, Natalie J., Sanderson, Jeremy, Mathew, Christopher G., Barbour, Jamie, Mohiuddin, M. Khalid, Todhunter, Catherine E., Mansfield, John C., Ahmad, Tariq, Cummings, Fraser R., Jewell, Derek P., Webster, John, Brown, Morris J., Lathrop, G. Mark, Connell, John, Dominiczak, Anna, Marcano, Carolina A. Braga, Burke, Beverley, Dobson, Richard, Gungadoo, Johannie, Lee, Kate L., Munroe, Patricia B., Newhouse, Stephen J., Onipinla, Abiodun, Wallace, Chris, Xue, Mingzhan, Caulfield, Mark, Farrall, Martin, Barton, Anne, and Genomics (BRAGGS), The Biologics in RA Genetics, Bruce, Ian N., Donovan, Hannah, Eyre, Steve, Gilbert, Paul D., Hider, Samantha L., Hinks, Anne M., John, Sally L., Potter, Catherine, Silman, Alan J., Symmons, Deborah P. M., Thomson, Wendy, Worthington, Jane, Dunger, David B., Widmer, Barry, Frayling, Timothy M., Freathy, Rachel M., Lango, Hana, Perry, John R. B., Shields, Beverley M., Weedon, Michael N., Hattersley, Andrew T., Hitman, Graham A., Walker, Mark, Elliott, Kate S., Groves, Christopher J., Lindgren, Cecilia M., Rayner, Nigel W., Timpson, Nicholas J., Zeggini, Eleftheria, Newport, Melanie, Sirugo, Giorgio, Lyons, Emily, Vannberg, Fredrik, Hill, Adrian V. S., Bradbury, Linda A., Farrar, Claire, Pointon, Jennifer J., Wordsworth, Paul, Brown, Matthew A., Franklyn, Jayne A., Heward, Joanne M., Simmonds, Matthew J., Gough, Stephen C. L., Seal, Sheila, Susceptibility Collaboration (UK), Breast Cancer, Stratton, Michael R., Rahman, Nazneen, Ban, Maria, Goris, An, Sawcer, Stephen J., Compston, Alastair, Conway, David, Jallow, Muminatou, Rockett, Kirk A., Bumpstead, Suzannah J., Chaney, Amy, Downes, Kate, Ghori, Mohammed J. R., Gwilliam, Rhian, Hunt, Sarah E., Inouye, Michael, Keniry, Andrew, King, Emma, McGinnis, Ralph, Potter, Simon, Ravindrarajah, Rathi, Whittaker, Pamela, Widden, Claire, Withers, David, Cardin, Niall J., Ferreira, Teresa, Pereira-Gale, Joanne, Hallgrimsdóttir, Ingileif B., Howie, Bryan N., Su, Zhan, Teo, Yik Ying, Vukcevic, Damjan, Bentley, David, and Compston, Alistair
Subjects: Genetic Markers, Bipolar Disorder, Population, Genome-wide association study, Single-nucleotide polymorphism, Coronary Artery Disease, Disease, Biology, Population stratification, Article, Arthritis, Rheumatoid, Crohn Disease, Gene Frequency, Diabetes Mellitus, Chromosomes, Human, Humans, Genetic Predisposition to Disease, education, Allele frequency, Genetics, education.field_of_study, Multidisciplinary, Geography, Genome, Human, CDKN2BAS, United Kingdom, Human genetics, C431 Medical Genetics, Genetics, Population, Case-Control Studies, Hypertension
Abstract: There is increasing evidence that genome-wide association ( GWA) studies represent a powerful approach to the identification of genes involved in common human diseases. We describe a joint GWA study ( using the Affymetrix GeneChip 500K Mapping Array Set) undertaken in the British population, which has examined similar to 2,000 individuals for each of 7 major diseases and a shared set of similar to 3,000 controls. Case-control comparisons identified 24 independent association signals at P < 5 X 10(-7): 1 in bipolar disorder, 1 in coronary artery disease, 9 in Crohn's disease, 3 in rheumatoid arthritis, 7 in type 1 diabetes and 3 in type 2 diabetes. On the basis of prior findings and replication studies thus-far completed, almost all of these signals reflect genuine susceptibility effects. We observed association at many previously identified loci, and found compelling evidence that some loci confer risk for more than one of the diseases studied. Across all diseases, we identified a large number of further signals ( including 58 loci with single-point P values between 10(-5) and 5 X 10(-7)) likely to yield additional susceptibility loci. The importance of appropriately large samples was confirmed by the modest effect sizes observed at most loci identified. This study thus represents a thorough validation of the GWA approach. It has also demonstrated that careful use of a shared control group represents a safe and effective approach to GWA analyses of multiple disease phenotypes; has generated a genome-wide genotype database for future studies of common diseases in the British population; and shown that, provided individuals with non-European ancestry are excluded, the extent of population stratification in the British population is generally modest. Our findings offer new avenues for exploring the pathophysiology of these important disorders. We anticipate that our data, results and software, which will be widely available to other investigators, will provide a powerful resource for human genetics research.
Published: 2007

43. A genome-wide association meta-analysis identifies a novel locus at 17q11.2 associated with sporadic amyotrophic lateral sclerosis

Author: Massimo Corbo, Cristina Cereda, Simon Cronin, Carl D. Langefeld, John Landers, Evadnie Rampersaud, Silvana Penco, Stefano Signorini, Jonathan D. Glass, Simon Topp, Gkazi Athina Soraya, Jan H. Veldink, Giancarlo Logroscino, Michael A van Es, Anne Birve, Karen E. Morrison, Davide Gentilini, Robert H. Brown, Paul W.J. van Vught, Jack W. Miller, Franco Taroni, Kreshnik B. Ahmeti, Stefania Corti, Barbara Castellotti, Aldo Quattrone, Senda Ajroud-Driss, Judith Melki, Philip Van Damme, Gabriele Siciliano, Vincent Meininger, Daniela Calini, Julie Williams, Cinzia Gellera, Anne Farmer, Valentina Moskvina, Antonia Ratti, Jonathan L. Haines, John Powell, Giacomo P. Comi, Scott Heller, Sandra D'Alfonso, Nailah Siddique, Margaret A. Pericak-Vance, Angela Marsili, Gabriele Mora, Stella Gagliardi, Peter M. Andersen, Giorgia Querin, Orla Hardiman, Anna Maria Di Blasio, Nicola Ticozzi, Maurizio Inghilleri, Francesco Saccà, Wu-Yen Hung, Cinzia Tiloca, J.G. Zheng, Letizia Mazzini, Mary C. Comeau, Michael E. Weale, James M. Jaworski, Jie Huang, Jennifer Armstrong, Filosto Massimo, Elena Pegoraro, Caroline Vance, Roberto Del Bo, Ewout J N Groen, Teepu Siddique, Nigel Leigh, Lucia Corrado, Josh D. Grab, Mauro Ceroni, Christopher Shaw, Massimiliano Filosto, Alessandra Ferlini, Vincenzo Silani, Adriano Chiò, Sandro Sorbi, Isabella Fogh, Giorgia Puorro, Wenjie Chen, Maria Rosaria Monsurrò, Alessandro Filla, Humaira Khan, Wim Robberecht, Cathryn M. Lewis, Ashley R. Jones, Pensato Viviana, Kuang Lin, Pamela J. Shaw, Ammar Al-Chalabi, Bryan J. Traynor, Leonard H. van den Berg, Michael Sendtner, Vincenzo Brescia Morra, Aleksey Shatunov, Frank P. Diekstra, Vincenzo La Bella, Gianni Sorarù, Robert L. Sufit, Daniel J. Overste, Yi Yang, Paolo Bongioanni, Miranda C. Marion, Bradley N. Smith, Francesca Luisa Conforti, Hylke M. Blauw, Lucie Bruijn, Isabella Laura Simone, Russell L. McLaughlin, Fogh, I., Ratti, A., Gellera, C., Lin, K., Tiloca, C., Moskvina, V., Corrado, L., Sorarù, G., Cereda, C., Corti, S., Gentilini, D., Calini, D., Castellotti, B., Mazzini, L., Querin, G., Gagliardi, S., Bo, R. D., Conforti, F. L., Siciliano, G., Inghilleri, M., Sacca', Francesco, Bongioanni, P., Penco, S., Corbo, M., Sorbi, S., Filosto, M., Ferlini, A., Di, A. M., Signorini, S., Shatunov, A., Jones, A., Shaw, P. J., Morrison, K. E., Farmer, A. E., Damme, P. V., Robberecht, W., Chiò, A., Traynor, B. J., Sendtner, M., Melki, J., Meininger, V., Hardiman, O., Andersen, P. M., Leigh, N. P., Glass, J. D., Overste, D., Diekstra, F. P., Veldink, J. H., Van, M. A., Shaw, C. E., Weale, M. E., Lewis, C. M., Williams, J., Brown, R. H., Landers, J. E., Ticozzi, N., Ceroni, M., Pegoraro, E., Comi, G. P., D'Alfonso, S., Van, L. H., Taroni, F., Al-Chalabi, A., Powell, J., Silani, V., S., T., S., Consortium, and Filla, Alessandro
Subjects: genetic structures, Prognosi, Single-nucleotide polymorphism, Locus (genetics), Genome-wide association study, Biology, Chromosomes, 03 medical and health sciences, 0302 clinical medicine, Genotype, Genetics, medicine, Humans, Amyotrophic lateral sclerosis, Molecular Biology, Genetics (clinical), 030304 developmental biology, amyotrophic lateral sclerosis, genetic, 0303 health sciences, Amyotrophic Lateral Sclerosis, Case-Control Studies, Chromosomes, Human, Pair 17, Prognosis, Genome-Wide Association Study, Pair 17, Association Studies Articles, Case-control study, General Medicine, Heritability, medicine.disease, 3. Good health, Case-Control Studie, 030217 neurology & neurosurgery, Imputation (genetics), Amyotrophic Lateral Sclerosi, Human
Abstract: Identification of mutations at familial loci for amyotrophic lateral sclerosis (ALS) has provided novel insights into the aetiology of this rapidly progressing fatal neurodegenerative disease. However, genome-wide association studies (GWAS) of the more common (∼90%) sporadic form have been less successful with the exception of the replicated locus at 9p21.2. To identify new loci associated with disease susceptibility, we have established the largest association study in ALS to date and undertaken a GWAS meta-analytical study combining 3959 newly genotyped Italian individuals (1982 cases and 1977 controls) collected by SLAGEN (Italian Consortium for the Genetics of ALS) together with samples from Netherlands, USA, UK, Sweden, Belgium, France, Ireland and Italy collected by ALSGEN (the International Consortium on Amyotrophic Lateral Sclerosis Genetics). We analysed a total of 13 225 individuals, 6100 cases and 7125 controls for almost 7 million single-nucleotide polymorphisms (SNPs). We identified a novel locus with genome-wide significance at 17q11.2 (rs34517613 with P = 1.11 × 10(-8); OR 0.82) that was validated when combined with genotype data from a replication cohort (P = 8.62 × 10(-9); OR 0.833) of 4656 individuals. Furthermore, we confirmed the previously reported association at 9p21.2 (rs3849943 with P = 7.69 × 10(-9); OR 1.16). Finally, we estimated the contribution of common variation to heritability of sporadic ALS as ∼12% using a linear mixed model accounting for all SNPs. Our results provide an insight into the genetic structure of sporadic ALS, confirming that common variation contributes to risk and that sufficiently powered studies can identify novel susceptibility loci.
Published: 2013

44. Detailed Analysis of the Relative Power of Direct and Indirect Association Studies and the Implications for Their Interpretation

Author: Valentina Moskvina and Michael Conlon O'Donovan
Subjects: Genetic Markers, Genetics, Linkage disequilibrium, Models, Statistical, Genetics, Medical, Locus (genetics), Single-nucleotide polymorphism, Biology, Polymorphism, Single Nucleotide, Linkage Disequilibrium, Genetic architecture, Gene Frequency, Genetic Techniques, Haplotypes, Evolutionary biology, Sample size determination, Sample Size, Humans, Genetic Predisposition to Disease, Allele, Allele frequency, Mathematics, Genetics (clinical), Genetic association
Abstract: Objectives: Genetic association studies are usually based upon restricted sets of ‘tag’ markers selected to represent the total sequence variation. Tag selection is often determined by some threshold for the r2 coefficients of linkage disequilibrium (LD) between tag and untyped markers, it being widely assumed that power to detect an effect at the untyped sites is retained by typing the tag marker in a sample scaled by the inverse of the selected threshold (1/r2). However, unless only a single causal variant occurs at a locus, it has been shown [Eur J Hum Genet 2006;14:426–437] that significant power loss can occur if this principle is applied. We sought to investigate whether unexpected loss of power might be an exceptional case or more general concern. In the absence of detailed knowledge about the genetic architecture at complex disease loci, we developed a mathematical approach to test all possible situations. Methods: We derived mathematical formulae allowing the calculation of all possible odds ratios (OR) at a tag marker locus given the effect size that would be observed by typing a second locus and the r2 between the two loci. For a range of allele frequencies, r2 between loci, and strengths of association at the causal locus (OR from 0.5 to 2) that we consider realistic for complex disease loci, we next determined the sample sizes that would be necessary to give equivalent power to detect association by genotyping tag and causal loci and compared these with the sample sizes predicted by applying 1/r2. Results: Under most of the hypothetical scenarios we examined, the calculated sample sizes required to maintain power by typing markers that tag the causal locus at even moderately high r2 (0.8) were greater than that calculated by applying 1/r2. Even in populations with apparently similar measurements of allele frequency, LD structure, and effect size at the susceptibility allele, the required sample size to detect association with a tag marker can vary substantially. We also show that in apparently similar populations, associations to either allele at the tag site are possible. Conclusions: Indirect tests of association are less powered than sizes predicted by applying 1/r2 in the majority of hypothetical scenarios we examined. Our findings pertain even for what we consider likely to be larger than average effect sizes in complex diseases (OR = 1.5–2) and even for moderately high r2 values between the markers. Until a substantial number of disease genes have been identified through methods that are not based on tagging, and therefore biased towards those situations most favourable to tagging, it is impossible to know how the true scenarios are distributed across the range of possible scenarios. Nevertheless, while association designs based upon tag marker selection by necessity are the tool of choice for de novo gene discovery, our data suggest power to initially detect association may often be less than assumed. Moreover, our data suggest that to avoid genuine findings being subsequently discarded by unpredictable losses of power, follow up studies in other samples should be based upon more detailed analyses of the gene rather than simply on the tag SNPs showing association in the discovery study.
Published: 2007

45. Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs

Author: Laura J. Scott, Bernie Devlin, Steven A. McCarroll, James S. Sutcliffe, Stefan Herms, Yunjung Kim, Richard O. Day, Thomas F. Wienker, Frank Dudbridge, I. Nicol Ferrier, Bettina Konte, Marta Ribasés, C. Robert Cloninger, Brenda W.J.H. Penninx, Detelina Grozeva, Herbert Roeyers, Peter Holmans, Colm O'Dushlaine, Scott D. Gordon, Sarah E. Bergen, Fan Meng, Morten Mattingsdal, Hugh Gurling, Ina Giegling, Gerard van Grootheest, Ania Korszun, Markus J. Schwarz, George Kirov, Sebastian Zöllner, Kenneth S. Kendler, Nicholas G. Martin, Michael Conlon O'Donovan, Michael C. Neale, Jim van Os, Aravinda Chakravarti, Timothy W. Yu, Mikael Landén, Inez Myin-Germeys, Markus M. Nöthen, Kathryn Roeder, James B. Potash, Alan W. McLean, Louise Gallagher, Anna K. Kähler, Thomas Bettecken, Nigel Williams, Frank Bellivier, Joseph D. Buxbaum, Derek W. Morris, Susan L. Smalley, Jung-Ying Tzeng, Martin Schalling, Douglas M. Ruderfer, Caroline M. Nievergelt, T. Scott Stroup, David H. Ledbetter, Jennifer Crosbie, Anita Thapar, Barbara Franke, Jeffrey A. Lieberman, Huda Akil, Miguel Casas, Daniel H. Geschwind, Paul Cormican, Bertram Müller-Myhsok, Lyudmila Georgieva, Robert Krasucki, Martin Hautzinger, Alysa E. Doyle, Cinnamon S. Bloss, Gerard D. Schellenberg, Todd Lencz, Melvin G. McInnis, Catalina Betancur, Josep Antoni Ramos-Quiroga, Stephen Sanders, Eftichia Duketis, Don H. Linszen, Matthew W. State, Richard M. Myers, Soumya Raychaudhuri, Lizzy Rossin, Howard J. Edenberg, Michael E. Goddard, S. Hong Lee, Elisabeth B. Binder, Pablo V. Gejman, William A. Scheftner, Wolfgang Maier, Judith A. Badner, Christel M. Middeldorp, Maria Helena Pinto de Azevedo, Johannes H. Smit, Willem A. Nolen, Lieuwe de Haan, Gonneke Willemsen, Keith Matthews, Ellen M. Wijsman, Jennifer K. Lowe, Rebecca McKinney, Magdalena Gross, Dorothy E. Grice, James A. Knowles, Andrew C. Heath, Jana Strohmaier, Vishwajit L. Nimgaonkar, William Byerley, William E. Bunney, Dan E. Arking, Andrew McQuillin, William M. McMahon, Manuel Mattheisen, Hans-Christoph Steinhausen, Joseph Biederman, Guy A. Rouleau, James J. McGough, Sian Caesar, Edward M. Scolnick, Lefkos T. Middleton, Jack D. Barchas, Ian B. Hickie, Danyu Lin, Patrik K. E. Magnusson, Douglas Blackwood, Francis J. McMahon, Ingrid Agartz, Elena Maestrini, Marian L. Hamshere, Lindsey Kent, Walter J. Muir, Stephan Ripke, Lydia Krabbendam, Christine Fraser, Maria Hipolito, Louise Frisén, Eric Fombonne, Emma M. Quinn, Michael Bauer, Richard P. Ebstein, Michael Steffens, Jordan W. Smoller, Stanley J. Watson, Michael Boehnke, Philip Asherson, Agatino Battaglia, Elliot S. Gershon, Russell Schachar, Marcus Ising, Peng Zhang, Margaret A. Pericak-Vance, Joachim Hallmayer, Sean Ennis, Radhika Kandaswamy, René S. Kahn, Susanne Hoefels, Thomas W. Mühleisen, Pamela Sklar, Paul Lichtenstein, Verneri Anttila, Michael L. Cuccaro, Florian Holsboer, René Breuer, Eric M. Morrow, Vinay Puri, Naomi R. Wray, Szabocls Szelinger, Sabine M. Klauck, John B. Vincent, Shrikant Mane, Aribert Rothenberger, Marion Friedl, Ian Jones, Khalid Choudhury, Michael R. Barnes, Adebayo Anjorin, Edwin H. Cook, William Lawson, Allan H. Young, Lambertus Klei, Bryan J. Mowry, Johannes Schumacher, Michael Gill, James L. Kennedy, Marcella Rietschel, Aiden Corvin, Henrik B. Rasmussen, Susmita Datta, Kimberly Chambert, Daniel Moreno-De-Luca, Benjamin S. Pickard, Stan F. Nelson, Veronica J. Vieland, Stephen W. Scherer, Peter M. Visscher, John Strauss, Andreas Reif, Andrew D. Paterson, Ann Olincy, Phoenix Kwan, Anthony J. Bailey, Patrick F. Sullivan, Pierandrea Muglia, Gunnar Morken, Susanne Lucae, Ayman H. Fanous, Jacob Lawrence, Donald J. MacIntyre, Nancy G. Buccola, Rita M. Cantor, Christina M. Hultman, Weihua Guan, Anthony P. Monaco, Jouke-Jan Hottenga, Elaine Kenny, Jianxin Shi, Dale R. Nyholt, Kevin A. McGhee, Falk W. Lohoff, Jonna Kuntsi, Niklas Långström, John I. Nurnberger, Nelson B. Freimer, Erin N. Smith, John P. Rice, Michael T. Murtha, Thomas H. Wassink, Alexandre A. Todorov, Edmund J.S. Sonuga-Barke, Dan Rujescu, Roy H. Perlis, John S. Witte, Christopher A. Walsh, Matthew C. Keller, Pamela B. Mahon, Patrick J. McGrath, Susan L. Santangelo, Annette M. Hartmann, Ole A. Andreassen, Tatiana Foroud, Shaun Purcell, Josef Frank, Douglas F. Levinson, William Coryell, Ana Miranda, Alan F. Schatzberg, Peter Szatmari, Jun Li, Gerome Breen, Stephen V. Faraone, Anil K. Malhotra, Helena Medeiros, Martin A. Kohli, Nicholas Bass, Catherine Lord, Peter Propping, Wei Xu, Federica Tozzi, Ivan Nikolov, Jan K. Buitelaar, Thomas G. Schulze, Katherine Gordon-Smith, Michele L. Pergadia, Fritz Poustka, Valentina Moskvina, David Curtis, Tobias Banaschewski, Devin Absher, Danielle Posthuma, Stanley Zammit, Gary Donohoe, Ingrid Melle, Karola Rehnström, Thomas Hansen, Myrna M. Weissman, Stanley I. Shyn, Hakon Hakonarson, Christa Lese Martin, Digby Quested, Darina Czamara, Jeremy R. Parr, Pamela A. F. Madden, Jens Treutlein, Aarno Palotie, Robert Freedman, Sandra Meier, Bru Cormand, Nicholas J. Schork, Michele T. Pato, John R. Kelsoe, Vanessa Hus, Frans G. Zitman, Josephine Elia, David St Clair, Roel A. Ophoff, Peter McGuffin, Jonathan Pimm, Jonathan L. Haines, Wiepke Cahn, Matthew Flickinger, Steven P. Hamilton, Michael John Owen, Paul D. Shilling, Jeremy M. Silverman, David Craig, Mark J. Daly, Sarah E. Medland, Robert D. Oades, Marion Leboyer, Alan R. Sanders, Vihra Milanova, Chunyu Liu, Jobst Meyer, Dorret I. Boomsma, Evaristus A. Nwulia, Thomas B. Barrett, Jennifer L. Moran, Donald W. Black, Mònica Bayés, Witte J.G. Hoogendijk, Franziska Degenhardt, Benjamin M. Neale, Daniel L. Koller, Carlos N. Pato, Nicholas John Craddock, Richard Bruggeman, Enda M. Byrne, Edward G. Jones, Eco J. C. de Geus, Stéphane Jamain, Jubao Duan, Anne Farmer, Astrid M. Vicente, Grant W. Montgomery, Thomas Werge, Cathryn M. Lewis, Srdjan Djurovic, Phil Lee, Richard Anney, Elaine K. Green, Wade H. Berrettini, Peter P. Zandi, Susan L. Slager, Stephanie H. Witt, Ian W. Craig, Lisa Jones, Sven Cichon, Bruno Etain, Mark Lathrop, Hilary Coon, Robert C. Thompson, Lena Backlund, A. Jeremy Willsey, Andres Ingason, Christine M. Freitag, Sandra K. Loo, Guiomar Oliveira, Line Olsen, Edwin J. C. G. van den Oord, Geraldine Dawson, Joseph A. Sergeant, David A. Collier, Farooq Amin, Srinivasa Thirumalai, Manfred Uhr, Joseph Piven, Andrew M. McIntosh, Anjali K. Henders, Urban Ösby, Klaus-Peter Lesch, Tiffany A. Greenwood, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Perceptual and Cognitive Neuroscience (PCN), Lee, S Hong, Ripke, Stephan, Neale, Benjamin M, Faraone, Stephen V, Wray, Naomi R, Cross-Disorder Group of the Psychiatric Genomics Consortium, International Inflammatory Bowel Disease Genetics Consortium (IIBDGC), Queensland Brain Institute, University of Queensland [Brisbane], Massachusetts General Hospital [Boston], Harvard Medical School [Boston] (HMS), Broad Institute of MIT and Harvard (BROAD INSTITUTE), Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], SUNY Upstate Medical University, State University of New York (SUNY), Mount Sinai School of Medicine, Department of Psychiatry-Icahn School of Medicine at Mount Sinai [New York] (MSSM), Psychiatric and Neurodevelopmental Genetics Unit, Queensland Centre for Mental Health Research, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, MRC Centre for Neuropsychiatric Genetics and Genomics, Medical Research Council (MRC)-School of Medicine [Cardiff], Cardiff University-Institute of Medical Genetics [Cardiff]-Cardiff University-Institute of Medical Genetics [Cardiff], New South Wales Department of Primary Industries (NSW DPI), Faculty of Land and Food Resources, University of Melbourne, HudsonAlpha Institute for Biotechnology [Huntsville, AL], Institute of Clinical Medicine [Oslo], Faculty of Medicine [Oslo], University of Oslo (UiO)-University of Oslo (UiO), Diakonhjemmet Hospital, University of Michigan [Ann Arbor], University of Michigan System, Molecular and Behavioral Neuroscience Institute (MBNI), University of Michigan System-University of Michigan System, Emory University [Atlanta, GA], Oslo University Hospital [Oslo], University College of London [London] (UCL), Trinity College Dublin, Johns Hopkins University School of Medicine [Baltimore], MRC Social Genetic Developmental and Psychiatry Centre, Institute of Psychiatry, King's College London, University of Coimbra [Portugal] (UC), Karolinska Institutet [Stockholm], University of Chicago, University of British Columbia (UBC), Department of Child and Adolescent Psychiatry and Psychotherapy [Mannheim], Universität Heidelberg [Heidelberg] = Heidelberg University, Weill Medical College of Cornell University [New York], GlaxoSmithKline, Glaxo Smith Kline, Portland Veterans Administration Medical Center, Windeyer Institute for Medical Sciences, IRCCS Fondazione Stella Maris [Pisa], University Hospital Carl Gustav Carus [Dresden, Germany], Technische Universität Dresden = Dresden University of Technology (TU Dresden), Centro Nacional de Analisis Genomico [Barcelona] (CNAG), Institut National de la Santé et de la Recherche Médicale (INSERM), Université Paris Diderot - Paris 7 (UPD7), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), European Network of Bipolar Research Expert Centres (ENBREC), ENBREC, Department of Psychiatry [Philadelphia], University of Pennsylvania, Physiopathologie des Maladies du Système Nerveux Central, Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Unité de recherche Phytopharmacie et Médiateurs Chimiques (UPMC), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Max Planck Institute of Psychiatry, Max-Planck-Gesellschaft, Massachusetts General Hospital [Boston, MA, USA], University of Iowa [Iowa City], University of Edinburgh, Royal Hospital for Sick Children [Edinburgh], The Scripps Research Institute [La Jolla, San Diego], MRC Social, Genetic and Developmental Psychiatry Centre (SGDP), King‘s College London-The Institute of Psychiatry, Institute of Medical Sciences, University of Aberdeen, Social, Genetic and Developmental Psychiatry Centre (SGDP), King‘s College London, Department of Genetic Epidemiology in Psychiatry [Mannhein], Universität Heidelberg [Heidelberg] = Heidelberg University-Central Institute of Mental Health Mannheim, Department of Psychiatry, University of Groningen [Groningen]-University Medical Center Groningen [Groningen] (UMCG), Trinity College Dublin-St. James's Hospital, School of Nursing, Louisiana State University (LSU), Donders Center for Cognitive Neuroimaging, Donders Centre for Cognitive Neuroimaging, Radboud University [Nijmegen]-Radboud University [Nijmegen], Department of Psychiatry and Human Behavior, University of California [Irvine] (UC Irvine), University of California (UC)-University of California (UC), Friedman Brain Institute, Mount Sinai, Icahn School of Medicine at Mount Sinai [New York] (MSSM), Seaver Autism Center for Research and Treatment, Department of Neuroscience, Departments of Psychiatry, Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai [New York] (MSSM)-Seaver Autism Center-, The Mindich Child Health & Development Institute, Friedman Brain Institute, The Mindich Child Health and Development Institute, University of California [San Francisco] (UC San Francisco), Department of Psychiatry, School of Clinical and Experimental Medicine, University of Alabama at Birmingham [ Birmingham] (UAB), Department of Human Genetics, Los Angeles, David Geffen School of Medicine [Los Angeles], University of California [Los Angeles] (UCLA), University of California (UC)-University of California (UC)-University of California [Los Angeles] (UCLA), McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Stanley Center for Psychiatric Research, Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston]-Harvard Medical School [Boston] (HMS)-Massachusetts Institute of Technology (MIT)-Massachusetts General Hospital [Boston], Mental Health Sciences Unit, Department of Genomics, Life and Brain Center, Universität Bonn = University of Bonn, Institute of Human Genetics, Institute of Neuroscience and Medicine (INM-1), Research Center Juelich, Academic Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Department of Disability and Human Development, University of Illinois [Chicago] (UIC), University of Illinois System-University of Illinois System, Department of Developmental Neuroscience, Neuropsychiatric Genetics Research Group, University of California [San Diego] (UC San Diego), John P. Hussman Institute for Human Genomics, University of Miami [Coral Gables], East London NHS Foundation Trust, Queen Mary University of London (QMUL), Max-Planck-Institut für Psychiatrie, Genetics Institute, Autism Speaks and the Department of Psychiatry, University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC)-University of North Carolina System (UNC), School of Neurology, Neurobiology and Psychiatry, Royal Victoria Infirmary, Medstar Research Institute, KG Jebsen Centre for Psychosis Research, University of Oslo (UiO)-Institute of Clinical Medicine-Oslo University Hospital [Oslo], Deparment of Medical Genetics, Human Genetics Branch, National Institutes of Health [Bethesda] (NIH)-National Institute of Mental Health (NIMH), Harvard Medical School [Boston] (HMS)-Massachusetts General Hospital [Boston], Department of Psychiatry and Behavioral Sciences, University of Chicago-NorthShore University Health System, Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine (LSHTM), Department of Child and Adolescent Psychiatry, Psychosomatics and Psychotherapy, Goethe-Universität Frankfurt am Main, Psychology Department, National University of Singapore (NUS), Department of Biochemistry and Molecular Biology, Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indiana University System-Indiana University System, Academic Centre on Rare Diseases (ACoRD), University College Dublin [Dublin] (UCD), Institut Mondor de Recherche Biomédicale (IMRB), Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Service de psychiatrie, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Henri Mondor-Hôpital Albert Chenevier, Virginia Institute of Psychiatric and Behavioral Genetics, Virginia Commonwealth University (VCU), University of Dundee School of Medicine, University of Dundee, Department of Biostatistics and Center for Statistical Genetics, University of Michigan System-University of Michigan System-School of public health, The University of Hong Kong (HKU)-The University of Hong Kong (HKU), Department of Child Psychiatry, McGill University = Université McGill [Montréal, Canada]-Montreal Children's Hospital, McGill University Health Center [Montreal] (MUHC)-McGill University Health Center [Montreal] (MUHC), Howard University College of Medicine, University of Colorado [Denver], Center for Neurobehavioral Genetics, Department of Genomics, Department of Molecular Medicine, Department of Neurology, University of California (UC)-University of California (UC)-David Geffen School of Medicine [Los Angeles], Medical Research Council-Cardiff University, Department of Psychiatry [Pittsburgh], University of Pittsburgh School of Medicine, Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Fisico-Quimica Biologica, Universidade Federal do Rio de Janeiro (UFRJ), Vanderbilt Brain Institute, Vanderbilt University School of Medicine [Nashville], Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania-University of Pennsylvania-Children’s Hospital of Philadelphia (CHOP ), The Center for Applied Genomics, Children’s Hospital of Philadelphia (CHOP ), Stanford School of Medicine [Stanford], Stanford Medicine, Stanford University-Stanford University, Institute for Human Genetics, Neurosciences Centre of Excellence in Drug Discovery, GlaxoSmithKline Research and Development, Center for Genomic Medicine, Copenhagen University Hospital-Rigshospitalet [Copenhagen], Copenhagen University Hospital, Department of Clinical and Developmental Psychology, Eberhard Karls Universität Tübingen = Eberhard Karls University of Tuebingen, Clinical Research Unit, Brain & Mind Research Institute-The University of Sydney, Functional Genomics, Neuronal Plasticity / Mouse Behaviour, Erasmus University Medical Center [Rotterdam] (Erasmus MC), Department of Medical Epidemiology and Biostatistics (MEB), Autism and Communicative Disorders Centre, Center for Human Genetic Research, Center for neuroscience-University of California [Davis] (UC Davis), Bioinformatics Research Center, North Carolina State University [Raleigh] (NC State), Norwegian University of Science and Technology [Trondheim] (NTNU), Norwegian University of Science and Technology (NTNU)-Norwegian University of Science and Technology (NTNU), Emory University [Atlanta, GA]-Atlanta Veterans Affairs Medical Center, Psychiatric Neurogenetics Section, Centre for Addiction and Mental Health, School of Medicine, University of St Andrews [Scotland], Institute of Human Genetics [Erlangen, Allemagne], Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Division of Molecular Genome Analysis, German Cancer Research Center - Deutsches Krebsforschungszentrum [Heidelberg] (DKFZ), Department of Ecology and Evolutionary Biology, Insitute of Neuroscience and Physiology, University of Gothenburg (GU), Institut de Génomique d'Evry (IG), Université Paris-Saclay-Institut de Biologie François JACOB (JACOB), Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Developmental Brain and Behaviour Unit, University of Southampton, Division of Psychiatric Genomics, Rheinische Friedrich-Wilhelms-Universität Bonn, Statistical Genetics Group, Department of Human Genetics, Department of Pharmacy and Biotechnology, Alma Mater Studiorum Università di Bologna [Bologna] (UNIBO), Department of Psychiatry and Psychotherapy, Department of Mental Health, Johns Hopkins University and Hospital, W.M. Keck Biotechnology Resource Laboratory, Yale University [New Haven], Institutes of Neuroscience and Health and Society, Newcastle University [Newcastle], Genetic Epidemiology Unit, Queensland Institute of Medical Research, Department of Biomedicine and the Centre for Integrative Sequencing, Aarhus University [Aarhus], Sorlandet Hospital HF, Division of Psychiatry, University of Edinburgh-Royal Edinburgh Hospital, Medical Genetics Section, University of Edinburgh-Western General Hospital, Unit on the Genetic Basis of Mood and Anxiety Disorders, National Institutes of Health [Bethesda] (NIH), Unidade de Neurodesenvolvimento e Autismo (UNDA), Hospital Pediatrico de Coimbra, Division of Mental Health and Addiction, Molecular Psychiatry Laboratory, University of Michigan System-University of Michigan System-Molecular and Behavioral Neuroscience Institute, Research and Development, First Psychiatric Clinic-Alexander University Hospital, Registo Oncológico Regional-Sul, Instituto Português de Oncologia de Francisco Gentil, The Wellcome Trust Centre for Human Genetics [Oxford], University of Oxford, St. Olav's Hospital, Brown University, Department of Molecular Biology, Cell Biology and Biochemistry, Translational Centre for Regenerative Medicine (TRM), Department of Cell Therapy, Universität Leipzig-Universität Leipzig, Human Genetics Department, University of Pittsburgh (PITT), Institute for Biomedical Imaging and Life Science, University Medical Center [Utrecht]-Brain Center Rudolf Magnus, Head of Medical Sequencing, Program in Genetics and Genomic Biology, Hospital for Sick Children-University of Toronto McLaughlin Centre, The Centre for Applied Genomics, Toronto, The Hospital for sick children [Toronto] (SickKids)-University of Toronto-Department of Molecular Genetics-McLaughlin Centre, Carolina Institute for Developmental Disabilities, Analytic and Translational Genetics Unit, Rush University Medical Center [Chicago], Julius-Maximilians-Universität Würzburg (JMU), Washington University in Saint Louis (WUSTL), Department of Statistics, Carnegie Mellon University [Pittsburgh] (CMU), Department of Experimental Clinical and Health Psychology, Universiteit Gent = Ghent University (UGENT), Department of Child and Adolescent Psychiatry, Georg-August-University = Georg-August-Universität Göttingen, Department of Medicine, Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CR CHUM), Centre Hospitalier de l'Université de Montréal (CHUM), Université de Montréal (UdeM)-Université de Montréal (UdeM)-Centre Hospitalier de l'Université de Montréal (CHUM), Université de Montréal (UdeM)-Université de Montréal (UdeM), Departments of Psychiatry and Genetics, Yale School of Medicine [New Haven, Connecticut] (YSM), Maine Medical Center, Free University of Amsterdam, Department of Psychiatry and Behavioral Sciences [Stanford], Pathology and Laboratory Medicine, The Scripps Translational Science Institute and The Scripps Research Institute, Psychiatric Center Nordbaden, Division of Cancer Epidemiology and Genetics, National Cancer Institute [Bethesda] (NCI-NIH), National Institutes of Health [Bethesda] (NIH)-National Institutes of Health [Bethesda] (NIH), The Scripps Translational Science Institute and Scripps Health, Child and Adolescent Psychiatry, Aarhus University Hospital, Molecular Neuropsychiatry and Development Laboratory, Department of Molecular Physiology & Biophysics and Psychiatry, Vanderbilt University [Nashville]-Centers for Human Genetics Research and Molecular Neuroscience, Department of Psychiatry and Behavioural Neurosciences, McMaster University [Hamilton, Ontario]-Offord Centre for Child Studies, The Translational Genomics Research Institute (TGen), Oxford Health NHS Foundation Trust, Marlborough House Secure Unit, Instituto Nacional de Saùde Dr Ricardo Jorge [Portugal] (INSA), BioFIG, Center for Biodiversity, Functional and Integrative Genomics, Battelle Center for Mathematical Medicine, Ohio State University [Columbus] (OSU)-Nationwide Children's Hospital, University of Toronto, Diamantina Institute, Carver College of Medicine [Iowa City], University of Iowa [Iowa City]-University of Iowa [Iowa City], Departments of Biostatistics and Medicine, University of Washington [Seattle], ArcelorMittal Maizières Research SA, ArcelorMittal, Institute of Mental Health, Johns Hopkins Bloomberg School of Public Health [Baltimore], Johns Hopkins University (JHU)-Johns Hopkins University (JHU), Psychiatrie & Neuropsychologie, Farmacologie en Toxicologie, RS: CARIM School for Cardiovascular Diseases, RS: MHeNs School for Mental Health and Neuroscience, Biological Psychology, Educational Neuroscience, Clinical Neuropsychology, Neuroscience Campus Amsterdam - Brain Mechanisms in Health & Disease, LEARN! - Social cognition and learning, Biophotonics and Medical Imaging, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, LEARN! - Brain, learning and development, EMGO+ - Mental Health, LEARN!, Neuroscience Campus Amsterdam - Brain Imaging Technology, LaserLaB - Biophotonics and Microscopy, State University of New York (SUNY)-State University of New York (SUNY), Department of Neuroscience and Physiology, Faculty of Land and Environment, Biosciences Research Division, Department of Environment and Primary Industries Victoria, Department of Epidemiology and Biostatistics, University of California [San Francisco] (UCSF), University of California-University of California, Universität Heidelberg [Heidelberg], Cornell University [New York]-Weill Medical College of Cornell University [New York], Bioinformatics, Internal Medicine, Portland Va Medical Center : Ganzini Linda MD, Technische Universität Dresden = Dresden University of Technology (TU Dresden)-University Hospital Carl Gustav Carus, Centro Nacional de Análisis Genómico (CNAG), Parc Científic de Barcelona (PCB), University of Pennsylvania [Philadelphia], Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC), Clinical and Research Programs in Pediatric Psychopharmacology and Adult ADHD, Division Genetic Epidemiology in Psychiatry, Central Institute of Mental Health [Mannheim], Medical Faculty [Mannheim]-Medical Faculty [Mannheim], Universität Heidelberg [Heidelberg]-Central Institute of Mental Health Mannheim, Radboud university [Nijmegen]-Radboud university [Nijmegen], University of California [Irvine] (UCI), University of California-University of California-University of California [Los Angeles] (UCLA), University of Bonn, University of California-University of California-David Geffen School of Medicine [Los Angeles], Cardiff University-Medical Research Council, University of Pennsylvania [Philadelphia]-University of Pennsylvania [Philadelphia]-Children’s Hospital of Philadelphia (CHOP ), Bureau d'Économie Théorique et Appliquée (BETA), Institut National de la Recherche Agronomique (INRA)-Université de Strasbourg (UNISTRA)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Institut de Biologie François JACOB (JACOB), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, University of Oxford [Oxford], Universität Leipzig [Leipzig]-Universität Leipzig [Leipzig], University of Toronto-The Hospital for sick children [Toronto] (SickKids)-Department of Molecular Genetics-McLaughlin Centre, Julius-Maximilians-Universität Würzburg [Wurtzbourg, Allemagne] (JMU), Universiteit Gent = Ghent University [Belgium] (UGENT), University of Göttingen - Georg-August-Universität Göttingen, Yale University School of Medicine, Georg-August-University [Göttingen], ANS - Amsterdam Neuroscience, Adult Psychiatry, Child Psychiatry, Psychiatry, Human genetics, NCA - Brain mechanisms in health and disease, NCA - Neurobiology of mental health, EMGO - Mental health, NCA - Brain imaging technology, Lee SH, Ripke S, Neale BM, Faraone SV, Purcell SM, Perlis RH, Mowry BJ, Thapar A, Goddard ME, Witte JS, Absher D, Agartz I, Akil H, Amin F, Andreassen OA, Anjorin A, Anney R, Anttila V, Arking DE, Asherson P, Azevedo MH, Backlund L, Badner JA, Bailey AJ, Banaschewski T, Barchas JD, Barnes MR, Barrett TB, Bass N, Battaglia A, Bauer M, Bayés M, Bellivier F, Bergen SE, Berrettini W, Betancur C, Bettecken T, Biederman J, Binder EB, Black DW, Blackwood DH, Bloss CS, Boehnke M, Boomsma DI, Breen G, Breuer R, Bruggeman R, Cormican P, Buccola NG, Buitelaar JK, Bunney WE, Buxbaum JD, Byerley WF, Byrne EM, Caesar S, Cahn W, Cantor RM, Casas M, Chakravarti A, Chambert K, Choudhury K, Cichon S, Cloninger CR, Collier DA, Cook EH, Coon H, Cormand B, Corvin A, Coryell WH, Craig DW, Craig IW, Crosbie J, Cuccaro ML, Curtis D, Czamara D, Datta S, Dawson G, Day R, De Geus EJ, Degenhardt F, Djurovic S, Donohoe GJ, Doyle AE, Duan J, Dudbridge F, Duketis E, Ebstein RP, Edenberg HJ, Elia J, Ennis S, Etain B, Fanous A, Farmer AE, Ferrier IN, Flickinger M, Fombonne E, Foroud T, Frank J, Franke B, Fraser C, Freedman R, Freimer NB, Freitag CM, Friedl M, Frisén L, Gallagher L, Gejman PV, Georgieva L, Gershon ES, Geschwind DH, Giegling I, Gill M, Gordon SD, Gordon-Smith K, Green EK, Greenwood TA, Grice DE, Gross M, Grozeva D, Guan W, Gurling H, De Haan L, Haines JL, Hakonarson H, Hallmayer J, Hamilton SP, Hamshere ML, Hansen TF, Hartmann AM, Hautzinger M, Heath AC, Henders AK, Herms S, Hickie IB, Hipolito M, Hoefels S, Holmans PA, Holsboer F, Hoogendijk WJ, Hottenga JJ, Hultman CM, Hus V, Ingason A, Ising M, Jamain S, Jones EG, Jones I, Jones L, Tzeng JY, Kähler AK, Kahn RS, Kandaswamy R, Keller MC, Kennedy JL, Kenny E, Kent L, Kim Y, Kirov GK, Klauck SM, Klei L, Knowles JA, Kohli MA, Koller DL, Konte B, Korszun A, Krabbendam L, Krasucki R, Kuntsi J, Kwan P, Landén M, Långström N, Lathrop M, Lawrence J, Lawson WB, Leboyer M, Ledbetter DH, Lee PH, Lencz T, Lesch KP, Levinson DF, Lewis CM, Li J, Lichtenstein P, Lieberman JA, Lin DY, Linszen DH, Liu C, Lohoff FW, Loo SK, Lord C, Lowe JK, Lucae S, MacIntyre DJ, Madden PA, Maestrini E, Magnusson PK, Mahon PB, Maier W, Malhotra AK, Mane SM, Martin CL, Martin NG, Mattheisen M, Matthews K, Mattingsdal M, McCarroll SA, McGhee KA, McGough JJ, McGrath PJ, McGuffin P, McInnis MG, McIntosh A, McKinney R, McLean AW, McMahon FJ, McMahon WM, McQuillin A, Medeiros H, Medland SE, Meier S, Melle I, Meng F, Meyer J, Middeldorp CM, Middleton L, Milanova V, Miranda A, Monaco AP, Montgomery GW, Moran JL, Moreno-De-Luca D, Morken G, Morris DW, Morrow EM, Moskvina V, Muglia P, Mühleisen TW, Muir WJ, Müller-Myhsok B, Murtha M, Myers RM, Myin-Germeys I, Neale MC, Nelson SF, Nievergelt CM, Nikolov I, Nimgaonkar V, Nolen WA, Nöthen MM, Nurnberger JI, Nwulia EA, Nyholt DR, O'Dushlaine C, Oades RD, Olincy A, Oliveira G, Olsen L, Ophoff RA, Osby U, Owen MJ, Palotie A, Parr JR, Paterson AD, Pato CN, Pato MT, Penninx BW, Pergadia ML, Pericak-Vance MA, Pickard BS, Pimm J, Piven J, Posthuma D, Potash JB, Poustka F, Propping P, Puri V, Quested DJ, Quinn EM, Ramos-Quiroga JA, Rasmussen HB, Raychaudhuri S, Rehnström K, Reif A, Ribasés M, Rice JP, Rietschel M, Roeder K, Roeyers H, Rossin L, Rothenberger A, Rouleau G, Ruderfer D, Rujescu D, Sanders AR, Sanders SJ, Santangelo SL, Sergeant JA, Schachar R, Schalling M, Schatzberg AF, Scheftner WA, Schellenberg GD, Scherer SW, Schork NJ, Schulze TG, Schumacher J, Schwarz M, Scolnick E, Scott LJ, Shi J, Shilling PD, Shyn SI, Silverman JM, Slager SL, Smalley SL, Smit JH, Smith EN, Sonuga-Barke EJ, St Clair D, State M, Steffens M, Steinhausen HC, Strauss JS, Strohmaier J, Stroup TS, Sutcliffe JS, Szatmari P, Szelinger S, Thirumalai S, Thompson RC, Todorov AA, Tozzi F, Treutlein J, Uhr M, van den Oord EJ, Van Grootheest G, Van Os J, Vicente AM, Vieland VJ, Vincent JB, Visscher PM, Walsh CA, Wassink TH, Watson SJ, Weissman MM, Werge T, Wienker TF, Wijsman EM, Willemsen G, Williams N, Willsey AJ, Witt SH, Xu W, Young AH, Yu TW, Zammit S, Zandi PP, Zhang P, Zitman FG, Zöllner S, Devlin B, Kelsoe JR, Sklar P, Daly MJ, O'Donovan MC, Craddock N, Sullivan PF, Smoller JW, Kendler KS, Wray NR, Cardiff University-Medical Research Council (MRC), HudsonAlpha Institute for Biotechnology, The Institute of Psychiatry-King‘s College London, Cornell University-Weill Medical College of Cornell University [New York], Stanford University Medical School, Technische Universität Dresden (TUD)-University Hospital Carl Gustav Carus, Assistance publique - Hôpitaux de Paris (AP-HP) (APHP)-Hôpital Henri Mondor-Hôpital Albert Chenevier, McGill University-Montreal Children's Hospital, Universidade Federal do Rio de Janeiro [Rio de Janeiro] (UFRJ), Stanford University School of Medicine [Stanford], Stanford University [Stanford], Eberhard Karls Universität Tübingen, Friedrich Alexander University [Erlangen-Nürnberg], Università di Bologna [Bologna] (UNIBO), University of Toronto-The Hospital for Sick Children-Department of Molecular Genetics-McLaughlin Centre, Washington University School of Medicine, Ghent University [Belgium] (UGENT), University of Goettingen, CHUM Research Center, Psychiatry and Behavioral Science, Stanford University School of Medicine [CA, USA], Aalborg Psychiatric Hospital, Aarhus University Hospital, Washington University in St Louis, Instituto Nacional de Saude Dr Ricardo Jorge, Oades, Robert D., Guellaen, Georges, Medical Oncology, Epidemiology, Child and Adolescent Psychiatry / Psychology, and Hematology
Subjects: Netherlands Twin Register (NTR), Medizin, Inheritance Patterns, Social Sciences, AUTISM SPECTRUM DISORDERS, nosology, heritability, COMMON SNPS, 0302 clinical medicine, Crohn Disease, SCHIZOPHRENIA, Child, Psychiatric genetics, Genetics & Heredity, MAJOR DEPRESSIVE DISORDER, RISK, 0303 health sciences, ATTENTION-DEFICIT/HYPERACTIVITY DISORDER, 120 000 Neuronal Coherence, Mental Disorders, Variants, BIPOLAR DISORDER, ASSOCIATION, Genomic disorders and inherited multi-system disorders [DCN PAC - Perception action and control IGMD 3], Psychiatric Disorders, CROHNS-DISEASE, 3. Good health, Schizophrenia, genetic association study, Medical genetics, Major depressive disorder, SNPs, Adult, medicine.medical_specialty, genetic etiology, medical genetics, DEFICIT HYPERACTIVITY DISORDER, Biology, Polymorphism, Single Nucleotide, behavioral disciplines and activities, Article, Genomic disorders and inherited multi-system disorders DCN MP - Plasticity and memory [IGMD 3], Heritability, Genetic Heterogeneity, 03 medical and health sciences, Prevalence of mental disorders, mental disorders, [SDV.BBM] Life Sciences [q-bio]/Biochemistry, Molecular Biology, Genetics, medicine, ddc:61, Humans, Attention deficit hyperactivity disorder, Genetic Predisposition to Disease, [SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology, DCN PAC - Perception action and control NCEBP 9 - Mental health, ddc:610, Medizinische Fakultät » Universitätsklinikum Essen » LVR-Klinikum Essen » Klinik für Psychiatrie, Psychosomatik und Psychotherapie des Kindes- und Jugendalters, Bipolar disorder, Psychiatry, 030304 developmental biology, Depressive Disorder, Major, Genome, Human, Genetic heterogeneity, medicine.disease, schizophrenia, Attention Deficit Disorder with Hyperactivity, Child Development Disorders, Pervasive, Perturbações do Desenvolvimento Infantil e Saúde Mental, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: AM Vicente - Cross-Disorder Group of the Psychiatric Genomics Consortium Most psychiatric disorders are moderately to highly heritable. The degree to which genetic variation is unique to individual disorders or shared across disorders is unclear. To examine shared genetic etiology, we use genome-wide genotype data from the Psychiatric Genomics Consortium (PGC) for cases and controls in schizophrenia, bipolar disorder, major depressive disorder, autism spectrum disorders (ASD) and attention-deficit/hyperactivity disorder (ADHD). We apply univariate and bivariate methods for the estimation of genetic variation within and covariation between disorders. SNPs explained 17-29% of the variance in liability. The genetic correlation calculated using common SNPs was high between schizophrenia and bipolar disorder (0.68 ± 0.04 s.e.), moderate between schizophrenia and major depressive disorder (0.43 ± 0.06 s.e.), bipolar disorder and major depressive disorder (0.47 ± 0.06 s.e.), and ADHD and major depressive disorder (0.32 ± 0.07 s.e.), low between schizophrenia and ASD (0.16 ± 0.06 s.e.) and non-significant for other pairs of disorders as well as between psychiatric disorders and the negative control of Crohn's disease. This empirical evidence of shared genetic etiology for psychiatric disorders can inform nosology and encourages the investigation of common pathophysiologies for related disorders.
Published: 2013

46. [Intravascular leiomyomatosis]

Author: Yu. Yu. Andreeva, G. A. Frank, A. A. Shikeeva, L. V. Moskvina, T. V. Kekeeva, L. E. Zavalishina, E. G. Novikova, S. M. Pronin, and A. Yu. Kostin
Subjects: Male, Angiomyoma, Chromosomes, Human, Pair 10, Uterine Neoplasms, Humans, Female, Middle Aged, Vascular Neoplasms, Pathology and Forensic Medicine, Microsatellite Repeats
Abstract: Intravenous leiomyomatosis is a rare disease from a group of tumors with the indefinite grading potential. The paper describes two cases of intravenous leiomyomatosis with its detailed morphological pattern, molecular genetic findings, and a brief literature review. Losses of heterozygosity of microsatellite repeats thatwere located on chromosome 10 in 10q22.1 and common in uterine leiomyosarcomas were found in both cases. Investigations of the morphological and biological characteristics of leimyomatosis are important to clarify the key molecular mechanisms underlying the development of this nosological entity and to determine etiopathogenetic relationships between intravenous leiomyomatosis and other uterine smooth muscle neoplasms.Интравенозный лейомиоматоз - редкое заболевание из группы опухолей с неопределенным потенциалом злокачественности. Приведено описание двух наблюдений интравенозного лейомиоматоза с подробной морфологической картиной и данными молекулярно-генетического исследования, кратким обзором литературы. В обоих случаях выявлены потери гетерозиготности микросателлитных повторов, расположенных на 10-й хромосоме, в районе 10q22.1, часто наблюдающиеся при лейомиосаркомах матки. Исследования морфологических и биологических характеристик лейомиоматоза важны для выяснения ключевых молекулярных механизмов развития данной нозологии и определения этиопатогенетических отношений между интравенозным лейомиоматозом и другими гладкомышечными новообразованиями матки.
Published: 2015

47. Further evidence that the KIAA0319 gene confers susceptibility to developmental dyslexia

Author: Denise Harold, Michael Conlon O'Donovan, Anthony P. Monaco, Natalie Cope, G Hill, Alex J. Richardson, John F. Stein, Megan Y. Dennis, Michael John Owen, Eric D. Green, Silvia Paracchini, Valentina Moskvina, J. Walter, Julie Williams, and Thomas S. Scerri
Subjects: Male, Candidate gene, Quantitative Trait Loci, Nerve Tissue Proteins, Locus (genetics), Single-nucleotide polymorphism, Biology, Polymorphism, Single Nucleotide, Dyslexia, Cellular and Molecular Neuroscience, Exon, DCDC2, Humans, Molecular Biology, Gene, Genetic association, Genetics, Regulation of gene expression, Exons, United Kingdom, Psychiatry and Mental health, Gene Expression Regulation, Mutation, Chromosomes, Human, Pair 6, Female, 5' Untranslated Regions, Microtubule-Associated Proteins
Abstract: The DYX2 locus on chromosome 6p22.2 is the most replicated region of linkage to developmental dyslexia (DD). Two candidate genes within this region have recently been implicated in the disorder: KIAA0319 and DCDC2. Variants within DCDC2 have shown association with DD in a US and a German sample. However, when we genotyped these specific variants in two large, independent UK samples, we obtained only weak, inconsistent evidence for their involvement in DD. Having previously found evidence that variation in the KIAA0319 gene confers susceptibility to DD, we sought to refine this genetic association by genotyping 36 additional SNPs in the gene. Nine SNPs, predominantly clustered around the first exon, showed the most significant association with DD in one or both UK samples, including rs3212236 in the 5' flanking region (P = 0.00003) and rs761100 in intron 1 (P = 0.0004). We have thus refined the region of association with developmental dyslexia to putative regulatory sequences around the first exon of the KIAA0319 gene, supporting the presence of functional mutations that could affect gene expression. Our data also suggests a possible interaction between KIAA0319 and DCDC2, which requires further testing.
Published: 2006

48. Evidence that interaction between neuregulin 1 and its receptor erbB4 increases susceptibility to schizophrenia

Author: Michael Gill, Michael Conlon O'Donovan, Nicholas John Bray, Gillian Spurlock, Nigel Williams, Anna Preece, J. Wilkinson, Nadine Norton, Michael John Owen, George Kirov, Sarah Dwyer, Valentina Moskvina, Stanley Zammit, Paul Robert Buckland, John L. Waddington, Derek W. Morris, Aiden Corvin, and Hywel Williams
Subjects: Adult, Male, Nonsynonymous substitution, Receptor, ErbB-4, Neuregulin-1, Gene Expression, Single-nucleotide polymorphism, Biology, Polymorphism, Single Nucleotide, Cellular and Molecular Neuroscience, Gene Frequency, mental disorders, medicine, Humans, SNP, Genetic Predisposition to Disease, RNA, Messenger, Neuregulin 1, Genotyping, Allele frequency, Alleles, Genetics (clinical), ERBB4, Aged, Aged, 80 and over, Genetics, Middle Aged, medicine.disease, ErbB Receptors, Psychiatry and Mental health, Haplotypes, Schizophrenia, Case-Control Studies, Mutation, biology.protein, Female
Abstract: There is now strong evidence that Neuregulin 1 (NRG1) is a susceptibility gene for schizophrenia. NRG1 mediates some of its effects through the tyrosine kinase receptor erbB4, and analysis of gene knock-out animals suggests that the functional interaction of NRG1 and erbB4 mediates behaviors that may model some aspects of the schizophrenia phenotype in mice. Given these findings, we have sought evidence for association between schizophrenia and erbB4. Mutation screening of erbB4 in 14 DSMIV schizophrenics revealed 15 SNPs, none of which were nonsynonymous. Analysis of the allele frequencies of each SNP in pools of 368 DSMIV schizophrenics and 368 controls provided modest evidence for association with two of the SNPs, although individual genotyping in an extended sample of 680 cases did not confirm this. However, we did find evidence for a significant interaction between the NRG1 "Icelandic" schizophrenia risk haplotype and erbB4 (P = 0.019). The NRG1 and erbB4 interacting marker was further genotyped in an independent sample of 290 cases and 634 controls from Dublin. Interaction between NRG1 and erbB4 remained significant in the combined sample of 970 cases and 1,341 controls, OR = 2.98 (CI: 1.16-7.64), P = 0.01, although it only showed a trend in the Dublin sample alone (P = 0.11, two tailed). Our data require independent replication, but tentatively suggest that NRG1 may mediate its effects on schizophrenia susceptibility through functional interaction with erbB4, and that genetic interaction between variants at the two loci increases susceptibility to schizophrenia.
Published: 2006

49. Effects of Differential Genotyping Error Rate on the Type I Error Probability of Case-Control Studies

Author: Michael Conlon O'Donovan, Valentina Moskvina, Nicholas John Craddock, Peter Holmans, and Michael John Owen
Subjects: Genetics, Linkage disequilibrium, Models, Statistical, Genotype, Models, Genetic, Haplotype, Reproducibility of Results, Word error rate, Biology, Linkage Disequilibrium, Minor allele frequency, Gene Frequency, Haplotypes, Case-Control Studies, Data Interpretation, Statistical, Humans, Computer Simulation, Allele, Genotyping, Alleles, Genetics (clinical), Probability, Genetic association, Type I and type II errors
Abstract: Objectives: It is well known that genotyping error adversely affects the power of genetic case-control association studies but there is little research on its effects on type I error, and none that has addressed possible differences in genotype error rates between cases and controls. Methods: We used simulations to examine the influence of genotyping error on the type I error probability given by case-control studies. The effect of genotyping error on the magnitude of type I error was explored for a single marker of varying minor allele frequency (MAF), and for haplotypic tests based on two markers with varying MAF and linkage disequilibrium (LD) measure r2. Results: We show that even with low genotyping error rates (Conclusions: Our results show that small differential genotyping error rates between cases and controls pose significant problems for association analyses. Differential genotyping error rates are particularly likely to arise where genotype data are combined from multiple sites, or where case genotypes are examined against archived reference population cohort genotypes that are being generated in several countries. Although these strategies may be necessary to obtain adequately powered samples, our data show the importance of stringent quality control. Furthermore, associations based on rare haplotypes should be treated with caution.
Published: 2006

50. Individual SNP Allele Reconstruction from Informative Markers Selected by a Non-Linear Gauss-Type Algorithm

Author: Valentina Moskvina and Karl Michael Schmidt
Subjects: Genetic Markers, Linkage disequilibrium, education.field_of_study, Computer science, Population, Normal Distribution, Inference, Tag SNP, Polymorphism, Single Nucleotide, Haplotypes, Nonlinear Dynamics, Case-Control Studies, Genetics, Humans, Pairwise comparison, Association mapping, education, Algorithm, Algorithms, Alleles, Genetics (clinical), Selection (genetic algorithm), Genetic association
Abstract: Objectives: In view of the linkage disequilibrium structure of the genome, the selection of maximally informative SNP markers is a fundamental issue in the design of association studies. Currently used selection methods rely on pairwise marker correlation or informativity measures for subsets of markers. Nevertheless, the selected markers do not provide a completely satisfactory description of the individual remaining markers. The number of tag markers can be further reduced by using haplotypic information, but then the results of association analysis are difficult to interpret. Methods and Results: We propose a non-linear Gauss-type algorithm selecting a subset of markers which is optimal with respect to the informativity measures and allows an explicit reconstruction of all other known markers, thus permitting direct inference of allelic association. The selection is based on the haplotype distribution in the population, but can be adapted to work with unphased genotypes directly. Conclusions: The proposed algorithm provides a rational methodology of informative marker selection, allowing for control and optimisation of information content and full marker reconstruction. Moreover, the reconstruction step can also be applied to tag markers selected using a different method at the stage of study design, identifying those markers which cannot be uniquely recovered from the chosen tags.
Published: 2006

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