Author: "Matthew J, Huentelman" - Searchworks@Jio Institute Digital Library Search Results

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151. Protective variant for hippocampal atrophy identified by whole exome sequencing

Author: Lindsay A. Farrer, Paul S. Aisen, Tatiana Foroud, Bernardino Ghetti, Patrizia Mecocci, Li Shen, Ashley L. Siniard, Kwangsik Nho, Michael W. Weiner, Matthew J. Huentelman, Simon J. Furney, Andrew J. Saykin, Jason J. Corneveaux, Mark Inlow, Shannon L. Risacher, Sungeun Kim, Simon Lovestone, Yunlong Liu, Clifford R. Jack, Ronald C. Petersen, Clinton T. Baldwin, Rebecca Reiman, Iwona Kłoszewska, Hilkka Soininen, Shanker Swaminathan, Magda Tsolaki, Robert C. Green, Hai Lin, Brenna C. McDonald, Andrew Simmons, Martin R. Farlow, Kathryn L. Lunetta, Vijay K. Ramanan, and Bruno Vellas
Subjects: Apolipoprotein E, Neurogenesis, Biology, Bioinformatics, medicine.disease, Atrophy, Neurology, medicine, Missense mutation, Neurology (clinical), Alzheimer's disease, Exome, Exome sequencing, Alzheimer's Disease Neuroimaging Initiative
Abstract: We used whole-exome sequencing to identify variants other than APOE associated with the rate of hippocampal atrophy in amnestic mild cognitive impairment. An in-silico predicted missense variant in REST (rs3796529) was found exclusively in subjects with slow hippocampal volume loss and validated using unbiased whole-brain analysis and meta-analysis across 5 independent cohorts. REST is a master regulator of neurogenesis and neuronal differentiation that has not been previously implicated in Alzheimer's disease. These findings nominate REST and its functional pathways as protective and illustrate the potential of combining next-generation sequencing with neuroimaging to discover novel disease mechanisms and potential therapeutic targets.
Published: 2015
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152. Feasibility of implementing molecular-guided therapy for the treatment of patients with relapsed or refractory neuroblastoma

Author: Pamela Jean Lescault, Deanna Mitchell, Kathleen A. Neville, Akshita Dutta, Don Eslin, Melinda S. Merchant, Takamaru Ashikaga, Jeffrey M. Trent, Jason J. Corneveaux, Nehal Parikh, Jacqueline M. Kraveka, Genevieve Bergendahl, Matthew J. Huentelman, Julie A. Dragon, Giselle Saulnier Sholler, Ashley L. Siniard, Jeffrey P. Bond, William S. Ferguson, Joel Kaplan, Gina Hanna, and William Roberts
Subjects: Oncology, Male, medicine.medical_specialty, Cancer Research, Adolescent, Antineoplastic Agents, molecular tumor board, Time-to-Treatment, Patient safety, Neuroblastoma, Young Adult, Internal medicine, Biopsy, medicine, Humans, Radiology, Nuclear Medicine and imaging, Progression-free survival, Molecular Targeted Therapy, Prospective Studies, RNA, Neoplasm, Prospective cohort study, Adverse effect, Child, Survival rate, Original Research, medicine.diagnostic_test, business.industry, Sequence Analysis, RNA, Gene Expression Profiling, Genomic profiling, molecular-guided therapy, pediatric oncology, medicine.disease, Surgery, Gene expression profiling, Treatment Outcome, Child, Preschool, Chronic Disease, Feasibility Studies, Female, Patient Safety, Neoplasm Recurrence, Local, business, Genome-Wide Association Study
Abstract: The primary objective of the study was to evaluate the feasibility and safety of a process which would utilize genome-wide expression data from tumor biopsies to support individualized treatment decisions. Current treatment options for recurrent neuroblastoma are limited and ineffective, with a survival rate of
Published: 2015

153. Convergent genetic and expression data implicate immunity in Alzheimer's disease

Author: John R. Gilbert, Simon Lovestone, Diana Zelenika, Walter A. Kukull, Peter Passmore, Chiao-Feng Lin, Nathalie Fievet, Brian W. Kunkle, Dominique Campion, Philip L. De Jager, Adam C. Naj, Kara L. Hamilton-Nelson, Lina Keller, Jean-Charles Lambert, Denise Harold, Paul K. Crane, John Powell, Kathryn L. Lunetta, Paolo Caffarra, Lei Yu, Anthony Bayer, Tricia A. Thornton-Wells, Christiane Reitz, Eric B. Larson, Florentino Sanchez Garcia, Lindsay A. Farrer, Charlene Thomas, Ekaterina Rogaeva, Victoria Alavarez, Alfredo Ramirez, Pascale Barberger-Gateau, Dan Rujescu, Paul Hollingworth, Margaret A. Pericak-Vance, Daniela Galimberti, J. Kornhuber, Alexey Vedernikov, Philippe Amouyel, Peter Holmans, Gianfranco Spalletta, Carole Dufouil, Wolfgang Maier, Patrick G. Kehoe, Florence Pasquier, Lesley Jones, Harald Hampel, Stephen Todd, Valur Emilsson, Pau Pastor, Manuel Mayhaus, Claudine Berr, Seth Love, Michelangelo Mancuso, Mikko Hiltunen, Simon Mead, Hilkka Soininen, Vincent Deramecourt, Bernadette McGuinness, Magda Tsolaki, Jean-François Dartigues, Jordi Clarimón, Marie-Thérèse Bihoreau, Laura Fratiglioni, Duane Beekly, Sabrina Pichler, Caroline Graff, Albert V. Smith, Nick C. Fox, Amy Gerrish, Karen Ritchie, Carlos Cruchaga, John Hardy, Benedetta Nacmias, Maria Candida Deniz Naranjo, Christine Van Broeckhoven, Laura B. Cantwell, Minerva M. Carrasquillo, Richard Mayeux, Karolien Bettens, Vincent Chouraki, Clive Holmes, Thomas H. Mosley, David C. Rubinsztein, Gyungah Jun, Anita L. DeStefano, Lenore J. Launer, Alexander Richards, Jerome I. Rotter, Lars Lannfelt, Annette L. Fitzpatrick, Fanggeng Zou, Joseph D. Buxbaum, Cristina Razquin, Mercè Boada, Najaf Amin, Palmi V. Jonsson, Martin Dichgans, Thomas J. Montine, Yoichiro Kamatani, Debby W. Tsuang, Alexis Brice, Hakon Hakonarson, John Collinge, Albert Hofman, Eden R. Martin, Oscar L. Lopez, Olivier Hanon, Melanie L. Dunstan, Kevin Morgan, Nicola Jones, Cornelia M. van Duijn, Valentina Escott-Price, Vilmundur Gudnason, Susanne Moebus, Peter St George-Hyslop, Michael Conlon O'Donovan, Michael Gill, Tim Becker, Markus M. Nöthen, Sandro Sorbi, Céline Bellenguez, Mike A. Nalls, Martin Ingelsson, Otto Valladares, Kristel Sleegers, Sudha Seshadri, Gerard D. Schellenberg, María J. Bullido, Patrizia Mecocci, Eric Boerwinkle, Michael John Owen, Helena Schmidt, Kristelle Brown, Julie Williams, Renée F.A.G. de Bruijn, Jonathan L. Haines, Mark Lathrop, Maria Del Zompo, Denis A. Evans, Rebecca Sims, Badri N. Vardarajan, John S. K. Kauwe, Luc Letteneur, Agustín Ruiz, David Craig, Steven G. Younkin, Bruce M. Psaty, Ignacio Mateo, Tatiana Foroud, David Wallon, P. Bosco, Alberti Lleò, Amanda J. Myers, Alberto Pilotto, Petra Proitsi, Reinhold Schmidt, Matthew J. Huentelman, David A. Bennett, Onofre Combarros, Kelley Faber, Gudny Eiriksdottir, M. Arfan Ikram, Lluís Tárraga, Francesco Panza, Carla A. Ibrahim-Verbaas, Joshua C. Bis, Li-San Wang, Matthias Riemenschneider, Gary W. Beecham, Alison Goate, Seung Hoan Choi, John Gallacher, Robert Clarke, Didier Hannequin, Deborah Blacker, Frank Jessen, Christophe Tzourio, Tamara B. Harris, Benjamin Grenier-Boley, Paola Bossù, Janet A. Johnston, M. Ilyas Kamboh, Giancarlo Russo, Timothy Stone, Carol Brayne, Eliecer Coto, French National Foundation on Alzheimer’s Disease and Related Disorders, Institut Pasteur, National Institutes of Health (US), Centre National de Genotypage (France), Fédération pour la Recherche sur le Cerveau (France), Erasmus University Rotterdam, Medical Research Council (UK), International Genomics of Alzheimer's Disease Consortium (IGAP), Neurology, and Epidemiology
Subjects: Pathway analysis, Epidemiology, ALIGATOR, Alzheimer's disease, Cholesterol metabolism, Dementia, Endocytosis, Immune response, Neurodegeneration, Ubiquitination, Weighted gene co-expression network analysis, Medizin, Genome-wide association study, genetics [Alzheimer Disease], Gene expression, Genetics, education.field_of_study, Health Policy, Brain, Single Nucleotide, 3. Good health, Psychiatry and Mental Health, Algorithms, Alzheimer Disease, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Genetic Predisposition to Disease, Developmental Neuroscience, Neurology (clinical), Geriatrics and Gerontology, Cellular and Molecular Neuroscience, Alzheimer’s disease, metabolism [Alzheimer Disease], Population, Genomics, Biology, Aligator, Article, Biological pathway, SDG 3 - Good Health and Well-being, medicine, ddc:610, Polymorphism, education, medicine.disease, Protein ubiquitination, metabolism [Brain], Human medicine
Abstract: © 2015, Elsevier Inc. All rights reserved. Background: Late-onset Alzheimer's disease (AD) is heritable with 20 genes showing genome-wide association in the International Genomics of Alzheimer's Project (IGAP). To identify the biology underlying the disease, we extended these genetic data in a pathway analysis. Methods: The ALIGATOR and GSEA algorithms were used in the IGAP data to identify associated functional pathways and correlated gene expression networks in human brain. Results: ALIGATOR identified an excess of curated biological pathways showing enrichment of association. Enriched areas of biology included the immune response (P = 3.27 × 10-12 after multiple testing correction for pathways), regulation of endocytosis (P = 1.31 × 10-11), cholesterol transport (P = 2.96 × 10-9), and proteasome-ubiquitin activity (P = 1.34 × 10-6). Correlated gene expression analysis identified four significant network modules, all related to the immune response (corrected P =.002-.05). Conclusions: The immune response, regulation of endocytosis, cholesterol transport, and protein ubiquitination represent prime targets for AD therapeutics., Medical Research Council, Alzheimer’s Research UK, and theWelsh Assembly Government. ADGC and CHARGE were supported by the National Institutes of Health, National Institute on Aging (NIH-NIA). CHARGE was also supported by Erasmus Medical Center and Erasmus University. IGAP was funded by the French National Foundation on Alzheimer’s Disease and Related Disorders, the Centre National de Genotypage and the Institut Pasteur de Lille, Inserm, FRC (Fondation pour la Recherche sur le Cerveau), and Rotary. This work has been developed and supported by the LABEX (Laboratory of Excellence Program Investment for the Future) DISTALZ grant (Development of Innovative Strategies for a Transdisciplinary approach to ALZheimer’s disease).
Published: 2015
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154. Systems genetics identifies modifiers of Alzheimer’s disease risk and resilience

Author: Julie A. Schneider, David A. Bennett, Timothy J. Hohman, Matthew J. Huentelman, Philip L. De Jager, Kristen M.S. O'Connell, Ryan Richholt, Catherine C. Kaczorowski, and Sarah M. Neuner
Subjects: 0303 health sciences, education.field_of_study, Population, Disease, Computational biology, Biology, Genome, Phenotype, 03 medical and health sciences, 0302 clinical medicine, Gene mapping, Genetic variation, Humanized mouse, education, Gene, 030217 neurology & neurosurgery, 030304 developmental biology
Abstract: SummaryIdentifying genes that modify symptoms of Alzheimer’s disease (AD) will provide novel therapeutic strategies to prevent, cure or delay AD. To discover genetic modifiers of AD, we combined a mouse model of AD with a genetically diverse reference panel to generate F1 mice harboring identical ‘high-risk’ human AD mutations but which differ across the remainder of their genome. We first show that genetic variation profoundly modifies the impact of causal human AD mutations and validate this panel as an AD model by demonstrating a high degree of phenotypic, transcriptomic, and genetic overlap with human AD. Genetic mapping was used to identify candidate modifiers of cognitive deficits and amyloid pathology, and viral-mediated knockdown was used to functionally validate Trpc3 as a modifier of AD. Overall, work here introduces a ‘humanized’ mouse population as an innovative and reproducible resource for the study of AD and identifies Trpc3 as a novel therapeutic target.HighlightsNew transgenic mouse population enables mapping of AD risk and resilience factorsTranscriptomic and phenotypic profiles in diverse AD mice parallel those in humansApoe genotype and expression correlate with cognitive symptoms in miceTrpc3 is a novel target to reduce amyloid load and cognitive symptoms in AD
Published: 2017
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155. Exome Sequencing of Two Siblings with Sporadic Autism Spectrum Disorder and Severe Speech Sound Disorder Suggests Pleiotropic and Complex Effects

Author: Caitlin Vose, Beate Peter, Valentin Dinu, Marcus Naymik, Hope Sparks Lancaster, Matthew J. Huentelman, Li Liu, and Isabelle Schrauwen
Subjects: 0301 basic medicine, WWOX, Adult, Male, Candidate gene, Multifactorial Inheritance, Adolescent, DNA Copy Number Variations, Autism Spectrum Disorder, Nerve Tissue Proteins, Biology, Compound heterozygosity, behavioral disciplines and activities, Speech Sound Disorder, 03 medical and health sciences, 0302 clinical medicine, GTP-Binding Proteins, mental disorders, Exome Sequencing, Genetics, medicine, Humans, Exome, Family, Genetic Predisposition to Disease, Child, Genetics (clinical), Ecology, Evolution, Behavior and Systematics, Exome sequencing, Siblings, Tumor Suppressor Proteins, Genetic Pleiotropy, medicine.disease, Comorbidity, 030104 developmental biology, WW Domain-Containing Oxidoreductase, Autism spectrum disorder, Childhood apraxia of speech, Speech sound disorder, Female, 030217 neurology & neurosurgery
Abstract: Recent studies of autism spectrum disorder (ASD) and childhood apraxia of speech (CAS) have resulted in conflicting conclusions regarding the comorbidity of these disorders on phenotypic grounds. In a nuclear family with two dually affected and one unaffected offspring, whole-exome sequences were evaluated for single nucleotide and indel variants and CNVs. The affected siblings but not the unaffected sibling share a rare deleterious compound heterozygous mutation in WWOX, implicated both in ASD and motor control. In addition, one of the affected children carries a rare deleterious de novo mutation in the ASD candidate gene RIMS1. The two affected children but not their unaffected sibling inherited deleterious variants with relevance for ASD and/or CAS. WWOX, RIMS1, and several of the genes harboring the inherited variants are expressed in the brain during prenatal and early postnatal development. Results suggest compound heterozygosity as a cause of ASD and CAS, pleiotropic gene effects, and potentially additional, complex genetic effects.
Published: 2017

156. A novel FBXO28 frameshift mutation in a child with developmental delay, dysmorphic features, and intractable epilepsy: A second gene that may contribute to the 1q41-q42 deletion phenotype

Author: Ignazio S. Piras, David Craig, Isabelle Schrauwen, Matt De Both, Chris Balak, Szabolcs Szelinger, Marcus Naymik, Madison LaFleur, Vinodh Narayanan, Ryan Richholt, Koen Devriendt, Tyler Izatt, Matthew J. Huentelman, Shelagh Joss, Sampathkumar Rangasamy, Mary E. Parker, Keri Ramsey, Panieh Terraf, Wayne M. Jepsen, Newell Belnap, Ashley L. Siniard, and Lorida Llaci
Subjects: 0301 basic medicine, Proband, Drug Resistant Epilepsy, Developmental Disabilities, Nonsense mutation, Biology, Germline, Frameshift mutation, 03 medical and health sciences, Epilepsy, Intellectual disability, Exome Sequencing, Genetics, medicine, Humans, Exome, Frameshift Mutation, Genetics (clinical), SKP Cullin F-Box Protein Ligases, Microdeletion syndrome, medicine.disease, Body Dysmorphic Disorders, Prognosis, 030104 developmental biology, Phenotype, Chromosomes, Human, Pair 1, Child, Preschool, Mutation (genetic algorithm), Female, Chromosome Deletion
Abstract: Chromosome 1q41-q42 deletions have recently been associated with a recognizable neurodevelopmental syndrome of early childhood (OMIM 612530). Within this group, a predominant phenotype of developmental delay (DD), intellectual disability (ID), epilepsy, distinct dysmorphology, and brain anomalies on magnetic resonance imaging/computed tomography has emerged. Previous reports of patients with de novo deletions at 1q41-q42 have led to the identification of an evolving smallest region of overlap which has included several potentially causal genes including DISP1, TP53BP2, and FBXO28. In a recent report, a cohort of patients with de novo mutations in WDR26 was described that shared many of the clinical features originally described in the 1q41-q42 microdeletion syndrome (MDS). Here, we describe a novel germline FBXO28 frameshift mutation in a 3-year-old girl with intractable epilepsy, ID, DD, and other features which overlap those of the 1q41-q42 MDS. Through a familial whole-exome sequencing study, we identified a de novo FBXO28 c.972_973delACinsG (p.Arg325GlufsX3) frameshift mutation in the proband. The frameshift and resulting premature nonsense mutation have not been reported in any genomic database. This child does not have a large 1q41-q42 deletion, nor does she harbor a WDR26 mutation. Our case joins a previously reported patient also in whom FBXO28 was affected but WDR26 was not. These findings support the idea that FBXO28 is a monogenic disease gene and contributes to the complex neurodevelopmental phenotype of the 1q41-q42 gene deletion syndrome.
Published: 2017

157. Exploring genome-wide DNA methylation patterns in Aicardi syndrome

Author: Wayne M. Jepsen, Gabrielle Mills, Candace R. Lewis, Marcus Naymik, Ryan Richholt, Vinodh Narayanan, Sampathkumar Rangasamy, Ignazio S. Piras, Madison LaFleur, Matt De Both, Matthew J. Huentelman, Keri Ramsey, Lorida Llaci, Szabolcs Szelinger, Chris Balak, Newell Belnap, Irma Järvelä, Ashley L. Siniard, David Craig, Isabelle Schrauwen, and Kristiina Avela
Subjects: 0301 basic medicine, Adult, Male, Cancer Research, Disease, Biology, medicine.disease_cause, Genome, Aicardi syndrome, Epigenesis, Genetic, 03 medical and health sciences, Neurodevelopmental disorder, Genetics, medicine, Humans, Gene Regulatory Networks, Epigenetics, Mutation, Whole Genome Sequencing, Infant, Newborn, dNaM, Infant, DNA Methylation, medicine.disease, Aicardi Syndrome, Pedigree, 030104 developmental biology, Molecular Diagnostic Techniques, DNA methylation, Female, Algorithms
Abstract: Aim: To explore differential DNA methylation (DNAm) in Aicardi syndrome (AIC), a severe neurodevelopmental disorder with largely unknown etiology. Patients & methods: We characterized DNAm in AIC female patients and parents using the Illumina 450 K array. Differential DNAm was assessed using the local outlier factor algorithm, and results were validated via qPCR in a larger set of AIC female patients, parents and unrelated young female controls. Functional epigenetic modules analysis was used to detect pathways integrating both genome-wide DNAm and RNA-seq data. Results & conclusion: We detected differential methylation patterns in AIC patients in several neurodevelopmental and/or neuroimmunological networks. These networks may be part of the underlying pathogenic mechanisms involved in the disease.
Published: 2017

158. Somatic inactivating PTPRJ mutations and dysregulated pathways identified in canine melanoma by integrated comparative genomic analysis

Author: Jessica Aldrich, Jeffrey M. Trent, Megan Washington, William P.D. Hendricks, Alison L. Ruhe, Karthigayini Sivaprakasam, Victoria Zismann, Mark W. Neff, Matthew Breen, Gerry Post, Matthew J. Huentelman, Nicholas S. Duesbery, Winnie S. Liang, Barbara Davis, Jeff Kiefer, Chand Khanna, Nicholas K. Hayward, Waibhav Tembe, Christophe Legendre, Kevin N. Brown, Roe Froman, Valerie DeLuca, Douglas H. Thamm, Aleksandar Sekulic, Mitchell S. Stark, and Kelsey Poorman
Subjects: Whole genome sequencing, Sanger sequencing, Genetics, 0303 health sciences, Tumor suppressor gene, Melanoma, Point mutation, Biology, medicine.disease, 3. Good health, 03 medical and health sciences, symbols.namesake, 0302 clinical medicine, 030220 oncology & carcinogenesis, medicine, symbols, Ultraviolet light, Canine Melanoma, neoplasms, 030304 developmental biology, Comparative genomic hybridization
Abstract: Canine malignant melanoma, a significant cause of mortality in domestic dogs, is a powerful comparative model for human melanoma, but little is known about its genetic etiology. We mapped the genomic landscape of canine melanoma through multi-platform analysis of 37 tumors (31 mucosal, 3 acral, 2 cutaneous, and 1 uveal) and 17 matching constitutional samples including long- and short-insert whole genome sequencing, RNA sequencing, array comparative genomic hybridization, single nucleotide polymorphism array, and targeted Sanger sequencing analyses. We identified novel predominantly truncating mutations in the putative tumor suppressor genePTPRJin 19% of cases. NoBRAFmutations were detected, but activatingRASmutations (24% of cases) occurred in conserved hotspots in all cutaneous and acral and 13% of mucosal subtypes.MDM2amplifications (24%) andTP53mutations (19%) were mutually exclusive. Additional low-frequency recurrent alterations were observed amidst low point mutation rates, an absence of ultraviolet light mutational signatures, and an abundance of copy number and structural alterations. Mutations that modulate cell proliferation and cell cycle control were common and highlight therapeutic axes such as MEK and MDM2 inhibition. This mutational landscape resembles that seen inBRAFwild-type and sun-shielded human melanoma subtypes. Overall, these data inform biological comparisons between canine and human melanoma while suggesting actionable targets in both species.AUTHOR SUMMARYMelanoma, an aggressive cancer arising from transformed melanocytes, commonly occurs in pet dogs. Unlike human melanoma, which most often occurs in sun-exposed cutaneous skin, canine melanoma typically arises in sun-shielded oral mucosa. Clinical features of canine melanoma resemble those of human melanoma, particularly the less common sun-shielded human subtypes. However, whereas the genomic basis of diverse human melanoma subtypes is well understood, canine melanoma genomics remain poorly defined. Similarly, although diverse new treatments for human melanoma based on a biologic disease understanding have recently shown dramatic improvements in outcomes for these patients, treatments for canine melanoma are limited and outcomes remain universally poor. Detailing the genomic basis of canine melanoma thus provides untapped potential for improving the lives of pet dogs while also helping to establish canine melanoma as a comparative model system for informing human melanoma biology and treatment. In order to better define the genomic landscape of canine melanoma, we performed multi-platform characterization of 37 tumors. Our integrated analysis confirms that these tumors commonly contain mutations in canine orthologs of human cancer genes such asRAS,MDM2, andTP53as well mutational patterns that share important similarities with human melanoma subtypes. We have also found a new putative cancer gene,PTPRJ, frequently mutated in canine melanoma. These data will guide additional biologic and therapeutic studies in canine melanoma while framing the utility of comparative studies of canine and human cancers more broadly.
Published: 2017
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159. Rare coding variants in PLCG2, ABI3, and TREM2 implicate microglial-mediated innate immunity in Alzheimer's disease

Author: John Hardy, Nick C. Fox, Lena Lilius, Christine Van Broeckhoven, Mindy J. Katz, Carlos Cruchaga, Joshua W. Miller, Carol Brayne, Letizia Concari, Christopher Shaw, Minerva M. Carrasquillo, Richard Mayeux, Anne Boland, Charles DeCarli, Helena C. Chui, Laura B. Cantwell, Yoland Aladro Benito, Chuang Kuo Wu, Elaine R. Peskind, Andrew McDavid, M. Ilyas Kamboh, Amanda Smith, Pascual Sánchez-Juan, Jean-François Deleuze, Jayanadra J. Himali, Thomas H. Mosley, Thomas J. Montine, Chuanhai Cao, Andreas J. Forstner, Thomas G. Beach, Robert Barber, Miquel Aguilar, Liming Qu, Jerome I. Rotter, Matthew J. Huentelman, Christiane Reitz, Christopher J. O'Donnell, Steven G. Younkin, Bradley T. Hyman, Bruce L. Miller, Rachelle S. Doody, Eric B. Larson, Ronald L. Hamilton, Todd E. Golde, Steven E. Arnold, Melissa E. Garcia, Rachel Raybould, Lena Kilander, Mark A. Sager, Kevin Morgan, Kathryn L. Lunetta, William Perry, Joseph D. Buxbaum, Craig S. Atwood, Thomas D. Bird, Michael Conlon O'Donovan, Robert Olaso, Juan Fortea, Susanne Moebus, Lisa L. Barnes, Rachel Marshall, Huntington Potter, Mercè Boada, Shahzad Ahmad, Paolo Caffarra, Daniel C. Marson, Jonathan L. Haines, Perrie M. Adams, John M Olichney, Lars Lannfelt, Stefanie Heilmann-Heimbach, Markus M. Nöthen, Shubhabrata Mukherjee, John Malamon, Xue Wang, Christopher S. Carlson, Karen Ritchie, Roger N. Rosenberg, Paul K. Crane, Alexa S. Beiser, Céline Bellenguez, Robert C. Green, Maria Urbano, Petra Proitsi, John Powell, Elisa Majounie, Ammar Al-Chalabi, Hakon Hakonarson, Yogen Patel, Martin Scherer, Julie Williams, Richard B. Lipton, Vincent Dermecourt, Adam L. Boxer, Gerard D. Schellenberg, David G. Clark, Anita L. DeStefano, Joel H. Kramer, Victoria Alvarez, Nandini Badarinarayan, Oscar L. Lopez, Chris Corcoran, Ubaldo Bonuccelli, Donald R. Royall, James Bowen, Monica Diez Fairen, Tricia A. Thornton-Wells, Nilufer Ertekin-Taner, Florence Pasquier, Martin Ingelsson, Yi Zhao, John R. Gilbert, Valentina Escott-Price, Amanda B. Kuzma, Fabienne Garzia, Reinhard Heun, Otto Valladares, Andrew J. Saykin, Sara Ortega-Cubero, Liana G. Apostolova, Henry L. Paulson, John K Kauwe, Imelda Barber, Carolina Ceballos Diaz, Douglas Galasko, M. Arfan Ikram, Lluís Tárraga, Carlo Caltagirone, Joan S. Reisch, Wolfgang Maier, Bruno Vellas, Rebecca Sims, Angela Hodges, Matthew P. Frosch, Isabel Henández, Annakaisa Haapasalo, Thor Aspelund, Håkan Thonberg, Aimee Pierce, Roger L. Albin, Wayne W. Poon, Rebecca Sussams, Amy Braddel, Ranjan Duara, Albert V. Smith, Kirk C. Wilhelmsen, Gianfranco Spalletta, Simon Lovestone, Peter Passmore, Ana Frank-García, Cynthia M. Carlsson, Jade Chapman, Nathan D. Price, Philip L. De Jager, John M. Ringman, Seung Hoan Choi, Nicola Denning, Michael John Owen, Clinton T. Baldwin, Amalia C. Bruni, Denis A. Evans, Rudolph E. Tanzi, Dominique Campion, Laura Fratiglioni, Alberto Lleó, Per Hoffmann, Carole Dufouil, Charlotte Forsell, Alun Meggy, Charlene Thomas, Robert S. Stern, James B. Leverenz, Tatiana Foroud, William W. Seeley, James J. Lah, Brian A. Lawlor, Kenneth B. Fallon, Matthias Riemenschneider, Ryan M. Huebinger, Regina M. Carney, Clinton B. Wright, Didier Hannequin, Deborah Blacker, Anne Kinhult-Ståhlbom, Ekaterina Rogaeva, Andrew P. Lieberman, Bernardino Ghetti, Linda J. Van Eldik, Bernadette McGuinness, Thomas Fairchild, Margaret A. Pericak-Vance, Ashok Raj, Reinhold Schmidt, Ronald C. Petersen, Harald Hampel, María J. Bullido, Steven L. Carroll, Maria Candida Deniz Naranjo, Kathleen A. Welsh-Bohmer, Myriam Fornage, Joseph F. Quinn, Caroline Graff, Claudia L. Satizabal, Patrice L. Whitehead, David Wallon, Christopher Medway, Lindsay A. Farrer, Vilmundur Gudnason, Peter St George-Hyslop, Pau Pastor, Frank Jessen, Erin L. Abner, Johanna Jakobsdottir, Hieab H.H. Adams, Roberta Cecchetti, Walter A. Kukull, Thomas S. Wingo, Michelle K. Lupton, Valur Emilsson, Susan M. McCurry, Simon Mead, Hilkka Soininen, Sandra Weintraub, Amy Gerrish, Lindy E. Harrell, Lina Keller, Jean-Charles Lambert, Denise Harold, Stephen Todd, Wei Gu, Maura Gallo, Najaf Amin, Lenore J. Launer, Eleonora Sacchinelli, Mikko Hiltunen, Cécile Dulary, Eliecer Coto, Xueqiu Jian, Nathalie Fievet, Patrizia Mecocci, Sarah Taylor, Eric Boerwinkle, Maria Serpente, Ronald G. Munger, Ina Giegling, Carlo Masullo, Aoibhinn Lynch, Eliezer Masliah, Anne M. Koivisto, Chang En Yu, Qiong Yang, Benedetta Nacmias, Wayne C. McCormick, Kristelle Brown, Alessio Squassina, Deborah C. Mash, Brian W. Kunkle, Makrina Daniilidou, Alison Goate, David Carrell, Kara L. Hamilton-Nelson, Sandra Barral, Vincent Chouraki, Kristel Sleegers, Frank J. Wolters, Joseph E. Parisi, Iwona Kłoszewska, Ronald C. Kim, Sonia Moreno-Grau, Marina Arcaro, Carmen Muñoz Fernadez, Vernon S. Pankratz, Duane Beekly, Sabrina Pichler, Gislain Septier, Delphine Bacq, Amanda J. Myers, Adam C. Naj, Frank Martiniuk, Sudha Seshadri, Badri N. Vardarajan, Joshua A. Sonnen, M.-Marsel Mesulam, Howard J. Rosen, James T. Becker, Chiara Fenoglio, Ge Li, Alberto Pilotto, Mary Sano, Olivier Hanon, Honghuang Lin, Jean Paul G. Vonsattel, W. T. Longstreth, Daniela Galimberti, David C. Rubinsztein, RoseMarie Brundin, Vilmantas Giedraitis, Christine M. Hulette, Peter Holmans, Martin Dichgans, Maria Vronskaya, Céline Derbois, Michelangelo Mancuso, Constantine G. Lyketsos, Christophe Tzourio, Jacques Epelbaum, Raffaele Maletta, Mariet Allen, Hong-Dong Li, James R. Burke, Rik Vandenberghe, David G. Mann, Bruce M. Psaty, Lawrence S. Honig, Beth A. Dombroski, Erik D. Roberson, Cornelia M. van Duijn, Benjamin Grenier-Boley, Seppo Helisalmi, Jean-François Dartigues, Russell H. Swerdlow, Paola Bossù, Ashley R. Winslow, Elio Scarpini, Lesley Jones, Sebastien Engelborghs, John Q. Trojanowski, Jeffrey Kaye, Jenny Lord, Chiara Cupidi, Janet A. Johnston, Dan Rujescu, Feroze Golamaully, Anne Braae, Rafael Blesa, L. Adrienne Cupples, Dennis W. Dickson, Gail P. Jarvik, David W. Fardo, David H. Cribbs, Michael Gill, Jose Bras, Allan I. Levey, Jennifer Williamson, Rhodri Thomas, John C. Morris, Lei Yu, Debby W. Tsuang, Annette M. Hartmann, John H. Growdon, John Collinge, Claudine Berr, Fernando Rivadeneira, Oliver Peters, Albert Hofman, Frank M. LaFerla, Vivianna M. Van Deerlin, James Uphill, David A. Bennett, Onofre Combarros, Gudny Eiriksdottir, Jeremy D. Burgess, Melanie L. Dunstan, Elizabeth Crocco, Keeley J. Brookes, Robert R. Graham, Lon S. Schneider, Eden R. Martin, Matt Hill, Neill R. Graff-Radford, Joseph T. Hughes, Vincenzo Solfrizzi, Taniesha Morgan, Antonio Ciaramella, Bruno Dubois, Juan C. Troncoso, Paolo Bosco, Jordi Clarimón, Daniel H. Geschwind, Virginia Boccardi, Barry Reisberg, Timothy W. Behrens, Annette L. Fitzpatrick, Salvatore Spina, Alexis Brice, Eileen H. Bigio, Marla Gearing, Jeffrey M. Burns, Carol A. Miller, Marilyn S. Albert, Sven J. van der Lee, Sandro Sorbi, C. Dirk Keene, Daniel Levy, Antonio Daniele, Eric M. Reiman, Paramita Chakrabarty, Oscar Sotolongo-Grau, Helena Schmidt, Francesco Panza, Murray A. Raskind, Rita Guerreiro, Gyungah Jun, Anna Karydas, Markus Leber, Harry V. Vinters, Cory C. Funk, Charles C. White, Jill R. Murrell, Sid E. O'Bryant, Nigel J. Cairns, Josée Dupuis, Ann C. McKee, Julie A. Schneider, Megan L. Grove, Malcolm B. Dick, Bradley F. Boeve, Jennifer A. Brody, Sanjay Asthana, Agustín Ruiz, Stefan Herms, Yuning Chen, David Craig, Neil W. Kowall, Maria Donata Orfei, JoAnn T. Tschanz, Florentino Sanchez Garcia, Manuel Mayhaus, Alfredo Ramirez, James Turton, André G. Uitterlinden, Davide Seripa, Lee-Way Jin, Kelley Faber, Maria C. Norton, Shuo Li, Steven H. Ferris, Steffi G. Riedel-Heller, Joshua C. Bis, Li-San Wang, Johannes Kornhuber, Peter Paul De Deyn, Martin R. Farlow, Randall L. Woltjer, Gary W. Beecham, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff University, Erasmus University Medical Center [Rotterdam] (Erasmus MC), Hospital of the University of Pennsylvania (HUP), Perelman School of Medicine, University of Pennsylvania [Philadelphia]-University of Pennsylvania [Philadelphia], Facteurs de Risque et Déterminants Moléculaires des Maladies liées au Vieillissement - U 1167 (RID-AGE), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Icelandic Heart Association [Kopavogur, Iceland] (IHA), John P. Hussman Institute for Human Genomics [Miami, FL, USA], University of Miami [Coral Gables], 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), Department of Medicine, University of Washington [Seattle], Dr. John T. Macdonald Foundation [Miami, FL, USA] (Department of Human Genetics), Epidémiologie des maladies chroniques : impact des interactions gène environnement sur la santé des populations, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille, Droit et Santé, Department of Genomics [Bonn, Germany] (Institute of Human Genetics), University of Bonn-Institute of Human Genetics [Bonn, Germany], Department of Molecular Genetics, Institut Català de Neurociències Aplicades [Barcelona, Spain], Well Advanced Solutions, Centre National de Génotypage (CNG), Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Translational Centre for Regenerative Medicine (TRM), Department of Cell Therapy, Universität Leipzig [Leipzig]-Universität Leipzig [Leipzig], The University of Texas Health Science Center at Houston (UTHealth), Columbia University [New York], University of Eastern Finland, Life & Brain Center - Department of Genomics, Rheinische Friedrich-Wilhelms-Universität Bonn, Génétique, Reproduction et Développement (GReD), Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Institut National de la Santé et de la Recherche Médicale (INSERM), John P. Hussman Institute for Human Genomics, Neurobiologie de la Croissance et de la Senescence, Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Emmy Noether Project (SFB 833), Eberhard Karls Universität Tübingen = Eberhard Karls University of Tuebingen, Boston University [Boston] (BU), Department of Genomics, Institute for Systems Biology [Seattle, WA, USA], Universitätsklinikum Bonn (UKB), Centre of Excellence for Robotic Vision [Canberra], Australian Research Council [Canberra] (ARC), Neuroscience and Mental Health Research Institute [Cardiff, UK] (School of Medicine), Boston University School of Medicine (BUSM), Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, University of Pennsylvania [Philadelphia], Section of Neuroscience and Clinical Pharmacology, University of Cagliari, Department of Epidemiology and Biostatistics, ERASMUS, Hospital Universitario Doctor Negrín [Las Palmas de Gran Canaria, Spain], Department of Neurodegenerative Diseases, University of Mississippi Medical Center (UMMC), Pathology and Laboratory Medicine [Philadelphia, PA, USA] (Penn Neurodegeneration Genomics Center), UNIROUEN - UFR Santé (UNIROUEN UFR Santé), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU), Génétique du cancer et des maladies neuropsychiatriques (GMFC), Normandie Université (NU)-Normandie Université (NU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Bioinformatics, GlaxoSmithKline, Aging Research Center [Karolinska Institutet] (ARC ), Stockholm University-Karolinska Institutet [Stockholm], University of Nottingham, UK (UON), University of Texas Health Science Center, Department of Neurobiology, Caring Sciences and Society (NVS), University of Bari Aldo Moro (UNIBA), Ageing Group, Centre for Public Health, Queen's University [Belfast] (QUB), Mayo Clinic [Jacksonville], Maurice Wohl Clinical Neuroscience Institut, King‘s College London, Istituto di Ricovero e Cura a Carattere Scientifico, Ospedale Casa Sollievo della Sofferenza [San Giovanni Rotondo] (IRCCS), Università degli Studi di Perugia (UNIPG), Framingham Heart Study, Boston University [Boston] (BU)-National Heart, Lung, and Blood Institute [Bethesda] (NHLBI), CHU Rouen, Normandie Université (NU), Universidad Autonoma de Madrid (UAM), Centro de Investigacion Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Instituto de Salud Carlos III [Madrid] (ISC), National Heart, Lung, and Blood Institute [Bethesda] (NHLBI), University of Florida [Gainesville] (UF), University of Parma = Università degli studi di Parma [Parme, Italie], Center for Cognitive Disorders AUSL [Parma, Italy], School of Public Health [Boston], Uppsala University, Institut de la Mémoire et de la Maladie d'Alzheimer [Paris] (IM2A), Université Pierre et Marie Curie - Paris 6 (UPMC), National Institute on Aging [Bethesda, USA] (NIA), National Institutes of Health [Bethesda] (NIH), Xi'an Jiaotong University (Xjtu), Department of Public health and Caring Sciences, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden, Institute of Gerontology and Geriatrics, Troubles cognitifs dégénératifs et vasculaires - U 1171 (TCDV), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Geriatric Medicine and Metabolic Diseases, Departments of Nuclear Medicine, University Medical Centre Hamburg-Eppendorf [Hamburg, Germany], University of Texas Southwestern Medical Center [Dallas], University of Cologne, Laboratoire d'Etudes et de Recherche en Informatique d'Angers (LERIA), Université d'Angers (UA), Johns Hopkins University (JHU), Universität Leipzig [Leipzig], University of Iceland [Reykjavik], Metacohorts Consortium, Harvard School of Public Health, Catholic University of Rome, Medical University Graz, Baylor College of Medicine (BCM), Baylor University, University of North Texas Health Science Center [Fort Worth], Santa Lucia Foundation (IRCCS), Nextel S.A. [Bilbao], Massachusetts General Hospital [Boston], Department of Pathology and Laboratory Medicine and Indiana Alzheimer disease Center, Indiana University School of Medicine, Indiana University System-Indiana University System, Joint Institute for the Study of the Atmosphere and Ocean (JISAO), Beijing University of Technology, University of Pittsburgh (PITT), Pennsylvania Commonwealth System of Higher Education (PCSHE), Saul B. Korey Department of Neurology, Albert Einstein College of Medicine [New York]-Yeshiva University, Utah State University (USU), Fundació per la Recerca Biomèdica i Social Mútua Terrassa [Barcelona, Spain], Hospital Universitario Mutua de Terrassa, Département de neurologie [Montpellier], Université Montpellier 1 (UM1)-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Hôpital Gui de Chauliac [Montpellier]-Université de Montpellier (UM), Department of neurology, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland, Department of neurology, University of Eastern Finland-University Hospital of Kuopio-University of Eastern Finland-University Hospital of Kuopio, Medical University of Łódź (MUL), University of Leicester, MRC Prion Unit, Fondazione IRCCS Ca' Granda - Ospedale Maggiore Policlinico, University of Milan, Fondazione Istituto di Ricerca e Cura Carattere Scientifico [Rome], Università degli Studi di Roma Tor Vergata [Roma], Saarland University Hospital, Universitat Autònoma de Barcelona (UAB), Regional Neurogenetic Centre [Lamezia Terme, Italy] (CRN - ASP Catanzaro), Università degli Studi di Firenze = University of Florence [Firenze] (UNIFI), Institute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, Universidade do Porto, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Experimental and Clinical Pharmacology, St. James Hospital and Trinity College [Dublin, Ireland], School of Medicine [Dublin], Trinity College Dublin, University of Sheffield [Sheffield], Lancaster University, University of Michigan [Ann Arbor], University of Michigan System, David Geffen School of Medicine [Los Angeles], University of California [Los Angeles] (UCLA), University of California-University of California, University of Wisconsin-Madison, Rush Alzheimer Disease Center [Chicago, IL, États-Unis], Rush University Medical Center [Chicago], Institute for Advanced Biosciences / Institut pour l'Avancée des Biosciences (Grenoble) (IAB), Centre Hospitalier Universitaire [Grenoble] (CHU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Etablissement français du sang - Auvergne-Rhône-Alpes (EFS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), School of Engineering [Cardiff], Department of Psychiatry [Pittsburgh], University of Pittsburgh School of Medicine, Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Northwestern University Feinberg School of Medicine, Mayo Clinic [Rochester], Swedish Medical Center [Seattle, WA, USA], University of California [San Francisco] (UCSF), University of California, Duke University [Durham], University of Kansas Medical Center [Lawrence], Laboratory of Molecular Neuropsychiatry, Icahn School of Medicine at Mount Sinai [New York] (MSSM), Washington University in Saint Louis (WUSTL), University of South Florida [Tampa] (USF), Fred Hutchinson Cancer Research Center [Seattle] (FHCRC), Medical University of South Carolina [Charleston] (MUSC), University of Southern California (USC), Los Alamos National Laboratory (LANL), Centre de biologie du développement (CBD), Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre de Biologie Intégrative (CBI), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Neurology Department, University of California, Davis (UCDavis-Neuro), University of California [Davis] (UC Davis), University of California [Irvine] (UCI), Mount Sinai Medical Center, Indiana State University, University of Alabama at Birmingham [ Birmingham] (UAB), University of Kentucky, New York University [New York] (NYU), NYU System (NYU), Department of Medical and Molecular Genetics, Department of Epidemiology and biostatistics, VU University Medical Center [Amsterdam], Emory University [Atlanta, GA], Department of Neurology, University of California-University of California-David Geffen School of Medicine [Los Angeles], Brigham & Women’s Hospital [Boston] (BWH), Harvard Medical School [Boston] (HMS), Department of Medical Genetics, HMNC Brain Health, Alzheimer Disease Research Laboratory, Harvard Medical School [Boston] (HMS)-Massachusetts General Hospital [Boston], Oregon Health and Science University [Portland] (OHSU), Cleveland Clinic, Laboratoire d'Informatique, Systèmes, Traitement de l'Information et de la Connaissance (LISTIC), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry]), Department of Psychiatry, School of Medicine-Johns Hopkins University and Johns Hopkins Bayview Medical Center, Douglas Mental Health University Institute [Montréal], McGill University = Université McGill [Montréal, Canada], Department of neurosciences, University of California [San Diego] (UC San Diego), Department of Physics and Astronomy [Fort Worth], Texas Christian University (TCU), Department of Computer Science [University of California, Davis], Indiana University System, Institute for Aging and Alzheimer’s Disease Research [Fort Worth] (IAADR), Department of Laboratory Medicine and Pathology, Mayo Clinic, Institute for Memory Impairments and Neurological Disorders [Irvine], University of Colorado Anschutz [Aurora], Tanz Center Research in Neurodegenerative Diseases [Toronto], University of Toronto, Charité - UniversitätsMedizin = Charité - University Hospital [Berlin], Keck School of Medicine [Los Angeles], Indiana University [South Bend], Massachusetts General Hospital, Novartis Institutes for Biomedical Research [Cambridge, MA, USA], Departments of Pathology and Laboratory Medicine (Neuropathology) and Neurology, UCLA Medical Center-David Geffen School of Medicine [Los Angeles], University of California-University of California-University of California [Los Angeles] (UCLA), University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC), Institut de Génomique d'Evry (IG), 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)-Université Paris-Saclay, University of Antwerp (UA), Institute Born-Bunge, Karolinska Institutet [Stockholm], Karolinska University Hospital [Stockholm], University of Kuopio, Centre Mémoire de Ressources et de Recherche [Lille-Bailleul] (CMRR), Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Hôpital Roger Salengro [Lille], Laboratoire d'Analyse Génomique, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Inserm-U1167, Dpt Gériatrie [CHU Broca], AP-HP - Hôpital Cochin Broca Hôtel Dieu [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Neuroépidémiologie, Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (ICM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Neuropsychiatrie : recherche épidémiologique et clinique (PSNREC), Université Montpellier 1 (UM1)-Université de Montpellier (UM)-Institut National de la Santé et de la Recherche Médicale (INSERM), Alzheimer Precision Medicine [CHU Pitié-Salpétriêre] (GRC 21 AMP), CHU Pitié-Salpêtrière [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Department of Epidemiology, University of Washington, School of Medicine [Los Angeles], Albert Einstein College of Medicine [New York], IdiPAZ - Instituto de Investigación La Paz [Madrid, Spain], Instituto de Física Teórica UAM/CSIC (IFT), Universidad Autonoma de Madrid (UAM)-Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Department of Internal Medicine, University of Central Asturias [Oviedo, Spain], Human Genome Sequencing Center, Baylor College of Medicine, Baylor University-Baylor University, Department of Epidemiology, Erasmus Medical Centre, Translational Genomics Research Institute [Phoenix, AZ, USA], University of Arizona, Banner Alzheimer's Institute [Phoenix, AZ, États-Unis], University of Texas Health Science Center at San Antonio [San Antonio], Mount Sinai School of Medicine, Department of Psychiatry-Icahn School of Medicine at Mount Sinai [New York] (MSSM), Department. of Neurological Sciences, University of Milan, IRCCS Ospedale Maggiore Policlinico, Centre for Research in Neurodegenerative Diseases, VA Puget Sound Health Care System/GRECC [Seattle, WA, USA], University of Pisa - Università di Pisa, Pfizer Worldwide Research and Development [Cambridge, MA, USA], Università cattolica del Sacro Cuore [Piacenza e Cremona] (Unicatt), Texas Tech University Health Sciences Center, Texas Tech University [Lubbock] (TTU), Saarland University [Saarbrücken], University of Bonn, Department of Public Health and Primary Care, University of Cambridge [UK] (CAM), Cambridge Institute for Medical Research (CIMR), Department of Molecular Neurosciences, Institute of Neurology, UCL, Institute of Psychiatry, Institute of psychiatry, University of British Columbia (UBC), the Clinical Neuroscience Research Group, University of Manchester [Manchester]-Greater Manchester Neurosciences Centre, Aristotle University of Thessaloniki, Memory and Dementia Centre, 3rd Department of Neurology, G. Pa, University of Barcelona, University of Southampton, Department of Psychiatry [Oxford] (POWIC), University of Oxford [Oxford]-The Warneford Hospital, School of Psychology [Cardiff University], Department of Medical Sciences, UCL, Institute of Neurology [London], Washington University School of Medicine, Netherlands Genomics Initiative, Netherlands Consortium for Healthy Aging [Leiden, Netherlands] (NCHA), School of Medecine, Center for Translational and Computational Neuroimmunology [New York, NY, États-Unis] (CTCN), Department of Neurology [New York, NY, États-Unis], Columbia University Medical Center (CUMC), Columbia University [New York]-Columbia University [New York]-Columbia University Medical Center (CUMC), Columbia University [New York]-Columbia University [New York], School of Life Sciences, Department of Neuroscience, Mayo Clinic Jacksonville, Icelandic Heart Association, Heart Preventive Clinic and Research Institute, Klinik für Psychiatrie, Martin-Luther-University Halle-Wittenberg, Epidémiologie et Biostatistique [Bordeaux], Université Bordeaux Segalen - Bordeaux 2-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), The Center for Applied Genomics, Children’s Hospital of Philadelphia (CHOP ), Clínica Universidad de Navarra [Pamplona], Neurodegenerative Brain Diseases Group, VIB, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University-Medical Research Council, Brigham Young University (BYU), Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED), Université Bordeaux Segalen - Bordeaux 2, The Gertrude H Sergivesky Center, Columbia University College of Physicians and Surgeons, Genetic Epidemiology Unit, Section of Clinical and Molecular Neurogenetics, Universität zu Lübeck [Lübeck], University of Pennsylvania - Department of Pathology & Laboratory Medecine, Framingham Heart Study [Framingham, MA, USA], ANR-10-IAHU-0006,IHU-A-ICM,Institut de Neurosciences Translationnelles de Paris(2010), European Project: 29845,LSH-ACC-MENTOR, University of Pennsylvania-University of Pennsylvania, Universität Bonn = University of Bonn-Institute of Human Genetics [Bonn, Germany], Universität Leipzig-Universität Leipzig, Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS), University of Pennsylvania, Università degli studi di Bari Aldo Moro = University of Bari Aldo Moro (UNIBA), Università degli Studi di Perugia = University of Perugia (UNIPG), Universidad Autónoma de Madrid (UAM), Università degli studi di Parma = University of Parma (UNIPR), Institut de la Mémoire et de la Maladie d'Alzheimer [CHU Pitié-Salpétriêre] (IM2A), Université Pierre et Marie Curie - Paris 6 (UPMC)-CHU Pitié-Salpêtrière [AP-HP], Troubles cognitifs dégénératifs et vasculaires - U 1171 - EA 1046 (TCDV), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille, Droit et Santé-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Universität Leipzig, Università cattolica del Sacro Cuore = Catholic University of the Sacred Heart [Roma] (Unicatt), Yeshiva University- Albert Einstein College of Medicine [New York], Université Montpellier 1 (UM1)-Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Hôpital Gui de Chauliac [CHU Montpellier], Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier)-Université de Montpellier (UM), Università degli Studi di Milano = University of Milan (UNIMI), Saarland University Hospital (UKS), Università degli Studi di Firenze = University of Florence (UniFI), Universidade do Porto = University of Porto, University of California (UC)-University of California (UC), University of California [San Francisco] (UC San Francisco), University of California (UC), University of Kansas Medical Center [Kansas City, KS, USA], Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Centre de Biologie Intégrative (CBI), Université de Toulouse (UT)-Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), University of California [Irvine] (UC Irvine), University of Kentucky (UK), University of California (UC)-University of California (UC)-David Geffen School of Medicine [Los Angeles], Department of Computer Science [Univ California Davis] (CS - UC Davis), University of California (UC)-University of California (UC)-University of California [Los Angeles] (UCLA), Université Paris-Saclay-Institut de Biologie François JACOB (JACOB), Université Montpellier 1 (UM1)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Montpellier (UM), Groupe de recherche clinique Alzheimer Precision Medicine (GRC 21 - APM), Sorbonne Université (SU), Universidad Autónoma de Madrid (UAM)-Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), University of Texas Health Science Center at San Antonio [San Antonio, Tx, USA], Universität Bonn = University of Bonn, University of Oxford-The Warneford Hospital, Medical Research Council-Cardiff University, Universität zu Lübeck = University of Lübeck [Lübeck], Epidemiology, Neurology, Gastroenterology & Hepatology, Internal Medicine, Facteurs de Risque et Déterminants Moléculaires des Maladies liées au Vieillissement (Inserm U1167 - RID-AGE - Institut Pasteur), Génétique, Reproduction et Développement - Clermont Auvergne (GReD), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Clermont Auvergne (UCA)-Centre National de la Recherche Scientifique (CNRS), Eberhard Karls Universität Tübingen, IRCCS 'Casa Sollievo della Sofferenza', Centro de Investigación Biomédica en Red para Enfermedades Neurodegenerativas (Ciberned), University of Florida [Gainesville], University of Parma, Troubles cognitifs dégénératifs et vasculaires (U1171), Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-INSERM, Yeshiva University- Albert Einstein College of Medicine, Institut d’Électronique, de Microélectronique et de Nanotechnologie (IEMN) - UMR 8520 (IEMN), Centre National de la Recherche Scientifique (CNRS)-Université de Lille-Université Polytechnique Hauts-de-France (UPHF)-Ecole Centrale de Lille-Université Polytechnique Hauts-de-France (UPHF)-Institut supérieur de l'électronique et du numérique (ISEN), Autonomous University of Barcelona (UAB), Università degli Studi di Firenze [Firenze], Universidade do Porto [Porto], Centre Hospitalier Universitaire [Grenoble] (CHU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Etablissement français du sang - Auvergne-Rhône-Alpes (EFS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Washington University in St Louis, University of South Florida (USF), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, McGill University, Charité - Universitätsmedizin Berlin / Charite - University Medicine Berlin, Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [APHP]-Centre National de la Recherche Scientifique (CNRS), Neuropsychiatrie : recherche épidémiologique et clinique, Alzheimer Precision Medicine GRC n°21 (APM), CHU Pitié-Salpêtrière [APHP], Albert Einstein College of Medicine, Universidad Autonoma de Madrid (UAM)-Consejo Superior de Investigaciones Científicas [Spain] (CSIC), Università Cattolica del S. Cuore - Catholic University of the Sacred Hearth, University of Florence (UNIFI), CIBER de Enfermedades Neurodegenerativas (CIBERNED), Universität zu Lübeck [Lübeck] - University of Lübeck [Lübeck], [ANR-10-IAIHU-06],« Investissements d'avenir » ,Agence nationale de la recherche (ANR), Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille)-Université de Lille-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP), Centre Hospitalier Universitaire [Grenoble] (CHU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Etablissement français du sang - Auvergne-Rhône-Alpes (EFS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), 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)-CHU Pitié-Salpêtrière [AP-HP], Icahn School of Medicine at Mount Sinai [New York] (MSSM)-Department of Psychiatry, van der Lee, Sven J [0000-0003-1606-8643], Naj, Adam C [0000-0002-9621-2942], Badarinarayan, Nandini [0000-0002-6944-748X], Chouraki, Vincent [0000-0002-4698-1794], Graham, Robert R [0000-0001-7151-4277], Hoffmann, Per [0000-0002-6573-983X], Smith, Albert V [0000-0003-1942-5845], Satizabal, Claudia L [0000-0002-1115-4430], Brody, Jennifer A [0000-0001-8509-148X], Wolters, Frank J [0000-0003-2226-4050], Lupton, Michelle K [0000-0002-7274-7299], Lin, Honghuang [0000-0003-3043-3942], Adams, Hieab H [0000-0003-3687-2508], Giedraitis, Vilmantas [0000-0003-3423-2021], Pasquier, Florence [0000-0001-9880-9788], Chen, Yuning [0000-0002-7358-7055], Bossù, Paola [0000-0002-1432-0078], Ghetti, Bernardino [0000-0002-1842-8019], Yang, Qiong [0000-0002-3658-1375], Aspelund, Thor [0000-0002-7998-5433], Bullido, María J [0000-0002-6477-1117], Rivadeneira, Fernando [0000-0001-9435-9441], Rubinsztein, David C [0000-0001-5002-5263], Al-Chalabi, Ammar [0000-0002-4924-7712], Tsolaki, Magda [0000-0002-2072-8010], De Jager, Philip L [0000-0002-8057-2505], Dickson, Dennis W [0000-0001-7189-7917], Van Broeckhoven, Christine [0000-0003-0183-7665], Ikram, M Arfan [0000-0003-0372-8585], Amouyel, Philippe [0000-0001-9088-234X], Lambert, Jean-Charles [0000-0003-0829-7817], Apollo - University of Cambridge Repository, Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Centre de Biologie Intégrative (CBI), Alzheimer Precision Medicine [CHU Pitié-Salpétriêre] (GRC 21 APM), Berr, Claudine, Institut de Neurosciences Translationnelles de Paris - - IHU-A-ICM2010 - ANR-10-IAHU-0006 - IAHU - VALID, and Mentoring of LifeSciHealth-Multipliers in the Accession Candidate Countries - LSH-ACC-MENTOR - 29845 - OLD
Subjects: 0301 basic medicine, Linkage disequilibrium, [SDV]Life Sciences [q-bio], Medizin, Sequence Homology, Genome-wide association study, genetics [Alzheimer Disease], metabolism [Microglia], Linkage Disequilibrium, 0302 clinical medicine, genetics [Protein Interaction Maps], genetics [Membrane Glycoproteins], Gene Frequency, Immunologic, genetics [Adaptor Proteins, Signal Transducing], Receptors, genetics [Exome], Odds Ratio, Innate, genetics [Receptors, Immunologic], Exome, Protein Interaction Maps, genetics [Genetic Predisposition to Disease], Receptors, Immunologic, ABI3 protein, human, Genetics, Adaptor Proteins, Signal Transducing, Alzheimer Disease, Amino Acid Sequence, Case-Control Studies, Gene Expression Profiling, Genetic Predisposition to Disease, Genotype, Humans, Immunity, Innate, Membrane Glycoproteins, Microglia, Phospholipase C gamma, Sequence Homology, Amino Acid, Polymorphism, Single Nucleotide, Adaptor Proteins, Single Nucleotide, 3. Good health, [SDV] Life Sciences [q-bio], Amino Acid, Settore MED/26 - NEUROLOGIA, genetics [Phospholipase C gamma], [SDV.NEU]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Alzheimer's disease, Common disease-common variant, Biology, Article, 03 medical and health sciences, ddc:570, medicine, Journal Article, [SDV.NEU] Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC], Polymorphism, Allele frequency, TREM2 protein, human, TREM2, Case-control study, Signal Transducing, Immunity, medicine.disease, R1, Minor allele frequency, genetics [Immunity, Innate], 030104 developmental biology, Human medicine, 030217 neurology & neurosurgery
Abstract: International audience; We identified rare coding variants associated with Alzheimer's disease in a three-stage case-control study of 85,133 subjects. In stage 1, we genotyped 34,174 samples using a whole-exome microarray. In stage 2, we tested associated variants (P < 1 × 10-4) in 35,962 independent samples using de novo genotyping and imputed genotypes. In stage 3, we used an additional 14,997 samples to test the most significant stage 2 associations (P < 5 × 10-8) using imputed genotypes. We observed three new genome-wide significant nonsynonymous variants associated with Alzheimer's disease: a protective variant in PLCG2 (rs72824905: p.Pro522Arg, P = 5.38 × 10-10, odds ratio (OR) = 0.68, minor allele frequency (MAF)cases = 0.0059, MAFcontrols = 0.0093), a risk variant in ABI3 (rs616338: p.Ser209Phe, P = 4.56 × 10-10, OR = 1.43, MAFcases = 0.011, MAFcontrols = 0.008), and a new genome-wide significant variant in TREM2 (rs143332484: p.Arg62His, P = 1.55 × 10-14, OR = 1.67, MAFcases = 0.0143, MAFcontrols = 0.0089), a known susceptibility gene for Alzheimer's disease. These protein-altering changes are in genes highly expressed in microglia and highlight an immune-related protein-protein interaction network enriched for previously identified risk genes in Alzheimer's disease. These genetic findings provide additional evidence that the microglia-mediated innate immune response contributes directly to the development of Alzheimer's disease.
Published: 2017
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160. Genetic Architecture of Subcortical Brain Structures in Over 40,000 Individuals Worldwide

Author: Arvin Saremi, Tomas Axelsson, Kristel R. van Eijk, Tonya White, Elena Shumskaya, Christine Macare, Christopher Chen, Neeltje E.M. van Haren, K Hegenscheid, Ingrid Melle, Benjamin S. Aribisala, Clyde Francks, Lisa R. Yanek, Konstantinos Arfanakis, Lars Nyberg, Nina Romanczuk-Seiferth, Clifford R. Jack, Thomas H. Wassink, Norman Delanty, Oscar L. Lopez, Jennifer S. Richards, Philippe Amouyel, William T. Longstreth, Michael W. Weiner, Maria J. Knol, Ralph Burkhardt, Ching-Yu Cheng, Wolfgang Hoffmann, Norbert Hosten, Alexander Teumer, Simone Reppermund, Markus M. Nöthen, Tien Yin Wong, Maria del C. Valdés Hernández, Bernd Kraemer, Murali Sargurupremraj, Amelia A. Assareh, Jessika E. Sussmann, Gabriel Cuellar-Partida, Ian J. Deary, Ganesh Chauhan, Christopher R.K. Ching, Arno Villringer, Dalia Kasperaviciute, Han G. Brunner, Srdjan Djurovic, Lachlan T. Strike, Albert V. Smith, Lars T. Westlye, Paul A. Nyquist, Bertram Müller-Myhsok, Phil Lee, Qiong Yang, Herve Lemaitre, Andreas Meyer-Lindenberg, Vidar M. Steen, Marc M. Bohlken, Rachel M. Brouwer, Charles DeCarli, Mar Matarin, Fabrice Crivello, Henry Völzke, Manuel Mattheisen, Bruno Vellas, Loes M. Olde Loohuis, Sudha Seshadri, Claudia L. Satizabal, Sebastian Mohnke, David C. Liewald, Li Shen, Kwangsik Nho, Simon E. Fisher, Deborah Janowitz, Wiro J. Niessen, Matthew J. Huentelman, Sylvane Desrivières, Ole A. Andreassen, Evan Fletcher, Christiane Wolf, Vilmundur Gudnason, Alejandro Arias-Vasquez, Charles C. White, Joshua C. Bis, Pauline Maillard, Ingrid Agartz, Oliver Grimm, Matthias Nauck, Andrew M. McIntosh, Iryna O. Fedko, Gianpiero L. Cavalleri, Andreas Heinz, Tulio Guadalupe, Andrew D. Johnson, Daan van Rooij, Thomas W. Mühleisen, Jessica A. Turner, Marieke Klein, Jia Yu Koh, Avram J. Holmes, Saud Alhusaini, Douglas N. Greve, Roberto Roiz-Santiañez, Nic J.A. van der Wee, Irina Filippi, Hans van Bokhoven, Miguel E. Rentería, Andrew J. Saykin, Marjolein M.J. van Donkelaar, Dan J. Stein, Randy L. Gollub, Sanjay M. Sisodiya, Honghuang Lin, Aaron Goldman, Patrizia Mecocci, Thomas Espeseth, Barbara Franke, Unn K. Haukvik, Theo G.M. van Erp, Venkata S. Mattay, Jonathan C Ipser, Catharina A. Hartman, Florian Holsboer, Saskia P. Hagenaars, Benedicto Crespo-Facorro, Manon Bernard, Jerome I. Rotter, Louis N. Vinke, Nastassja Koen, Vince D. Calhoun, Anders M. Dale, Dennis van der Meer, Jordan W. Smoller, Debra A. Fleischman, Janita Bralten, Hannah J. Jones, Lavinia Athanasiu, Hilleke E. Hulshoff Pol, Brenda W.J.H. Penninx, Peter R. Schofield, Roel A. Ophoff, J Wardlaw, Sven J. van der Lee, Katie L. McMahon, Esther Walton, Nicholas G. Martin, Gunter Schumann, Katharina Wittfeld, Perminder S. Sachdev, André G. Uitterlinden, Christophe Tzourio, Pieter J. Hoekstra, Roberto Toro, Henry Brodaty, Marcella Rietschel, David Ames, George Davey Smith, G. Bruce Pike, Alexa S. Beiser, Zdenka Pausova, Simon Lovestone, Robert C. Green, Greig I. de Zubicaray, Stephen M. Lawrie, Mark E. Bastin, Marco P. Boks, M. Mallar Chakravarty, Magda Tsolaki, Myriam Fornage, Nanda Rommelse, Andre F. Marquand, Anbupalam Thalamuthu, Helena Schmidt, Jason L. Stein, Bruce M. Psaty, Jan K. Buitelaar, Jean-Luc Martinot, Kazima B. Bulayeva, Henrik Walter, Xueqiu Jian, Yasaman Saba, Saima Hilal, Paul M. Thompson, Tamara B. Harris, Jaap Oosterlaan, Marie-José van Tol, Joshua L. Roffman, Bernard Mazoyer, Shuo Li, Nhat Trung Doan, Qiang Chen, John B.J. Kwok, Najaf Amin, Diana Tordesillas-Gutiérrez, Eco J. C. de Geus, Meike W. Vernooij, Andrew J. Schork, Susanne Erk, Daniel R. Weinberger, Grant W. Montgomery, Jean Shin, James T. Becker, Martine Hoogman, Philip L. De Jager, Dirk J. Heslenfeld, Derrek P. Hibar, Narelle K. Hansell, Andrew Simmons, Micael Andersson, Lucija Abramovic, Dorret I. Boomsma, Allison Stevens, Wei Wen, A. Veronica Witte, Owen Carmichael, Jayandra J. Himali, Asta Håberg, Hieab H.H. Adams, Nynke A. Groenewold, Sven Cichon, Wiepke Cahn, Lianne Schmaal, Shannon L. Risacher, Erik G. Jönsson, Shahrzad Kharabian Masouleh, Oliver Gruber, Tianye Jia, Hilkka Soininen, M. Kamran Ikram, Markus Loeffler, Philipp G. Sämann, Sungeun Kim, Jingyun Yang, Iwona Kłoszewska, Ryota Kanai, Christopher D. Whelan, Massimo Pandolfo, Dick J. Veltman, Diane M. Becker, Anouk den Braber, Hans J. Grabe, Neda Jahanshad, Yanhui Hu, Anita L. DeStefano, Beng-Choon Ho, Stephanie Le Hellard, Cornelia M. van Duijn, Georg Homuth, Tomáš Paus, Stéphanie Debette, Nicola J. Armstrong, Jouke-Jan Hottenga, Eric Westman, Tom V. Lee, Sarah E. Medland, Randy L. Buckner, Benno Pütz, Edith Hofer, Steven G. Potkin, Albert Hofman, Dennis van 't Ent, Sudheer Giddaluru, Tatiana Foroud, Guillén Fernández, John D. Eicher, Gareth E. Davies, Thomas H. Mosley, Michelle Luciano, Lenore J. Launer, Joshua W. Cheung, Markus Scholz, D. Höhn, Thomas Wolfers, Reinhold Schmidt, Arthur W. Toga, René S. Kahn, Nazanin Karbalai, Yuri Milaneschi, Margaret J. Wright, Martina Papmeyer, David A. Bennett, M. Arfan Ikram, Stefan Ehrlich, Marcel P. Zwiers, Karen A. Mather, and Joshua M. Shulman
Subjects: Candidate gene, Globus pallidus, nervous system, Putamen, Thalamus, Caudate nucleus, Synaptic signaling, Nucleus accumbens, Biology, Bioinformatics, Neuroscience, Genetic architecture
Abstract: Subcortical brain structures are integral to motion, consciousness, emotions, and learning. We identified common genetic variation related to the volumes of nucleus accumbens, amygdala, brainstem, caudate nucleus, globus pallidus, putamen, and thalamus, using genome-wide association analyses in over 40,000 individuals from CHARGE, ENIGMA and the UK-Biobank. We show that variability in subcortical volumes is heritable, and identify 25 significantly associated loci (20 novel). Annotation of these loci utilizing gene expression, methylation, and neuropathological data identified 62 candidate genes implicated in neurodevelopment, synaptic signaling, axonal transport, apoptosis, and susceptibility to neurological disorders. This set of genes is significantly enriched for Drosophila orthologs associated with neurodevelopmental phenotypes, suggesting evolutionarily conserved mechanisms. Our findings uncover novel biology and potential drug targets underlying brain development and disease.
Published: 2017
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161. [P4–081]: ASSOCIATION OF MAP2K3 GENE VARIATION AND THE SUPERAGING PHENOTYPE DETECTED BY WHOLE EXOME SEQUENCING

Author: Emily Rogalski, Emmaleigh Loyer, Matthew J. Huentelman, Ignazio S. Piras, Ashley L. Siniard, Ryan Richholt, Eileen H. Bigio, M.-Marsel Mesulam, Sandra Weintraub, Changiz Geula, and Matthew De Both
Subjects: Genetics, Epidemiology, Health Policy, 05 social sciences, Biology, Phenotype, 050105 experimental psychology, 03 medical and health sciences, Psychiatry and Mental health, Cellular and Molecular Neuroscience, 0302 clinical medicine, Variation (linguistics), Developmental Neuroscience, 0501 psychology and cognitive sciences, Neurology (clinical), Geriatrics and Gerontology, Gene, Exome, 030217 neurology & neurosurgery, Exome sequencing
Published: 2017
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162. Total Extracellular Small RNA Profiles from Plasma, Saliva, and Urine of Healthy Subjects

Author: Rebecca Reiman, Ryan Richholt, Kendall Van Keuren-Jensen, Roger McCoy, Seungchan Kim, Chris Balak, Ashley L. Siniard, Joseph Winarta, Elizabeth Carlson, Elizabeth Hutchins, Matthew J. Huentelman, Robert R. Kitchen, Taylor Beecroft, Ashish Yeri, Matthew Anastasi, Joel Rozowsky, Alex Janss, and Amanda Courtright
Subjects: 0301 basic medicine, Adult, Male, Saliva, Small RNA, Multidisciplinary, Adolescent, RNA, Urine, Biology, Molecular biology, Article, 03 medical and health sciences, Young Adult, 030104 developmental biology, Transfer RNA, microRNA, Extracellular, Humans, Cell-Free Nucleic Acids, Extracellular RNA
Abstract: Interest in circulating RNAs for monitoring and diagnosing human health has grown significantly. There are few datasets describing baseline expression levels for total cell-free circulating RNA from healthy control subjects. In this study, total extracellular RNA (exRNA) was isolated and sequenced from 183 plasma samples, 204 urine samples and 46 saliva samples from 55 male college athletes ages 18–25 years. Many participants provided more than one sample, allowing us to investigate variability in an individual’s exRNA expression levels over time. Here we provide a systematic analysis of small exRNAs present in each biofluid, as well as an analysis of exogenous RNAs. The small RNA profile of each biofluid is distinct. We find that a large number of RNA fragments in plasma (63%) and urine (54%) have sequences that are assigned to YRNA and tRNA fragments respectively. Surprisingly, while many miRNAs can be detected, there are few miRNAs that are consistently detected in all samples from a single biofluid, and profiles of miRNA are different for each biofluid. Not unexpectedly, saliva samples have high levels of exogenous sequence that can be traced to bacteria. These data significantly contribute to the current number of sequenced exRNA samples from normal healthy individuals.
Published: 2017
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163. F141IDENTIFICATION OF PERIPHERAL BIOMARKERS IN SCHIZOPHRENIA: A META-ANALYSIS OF MICROARRAY GENE-EXPRESSION DATASETS

Author: Matthew J. Huentelman, Clement C. Zai, Bernardo Carpiniello, Federica Pinna, Ignazio S. Piras, Mirko Manchia, and James L. Kennedy
Subjects: Pharmacology, business.industry, Schizophrenia (object-oriented programming), Computational biology, Peripheral, Psychiatry and Mental health, Neurology, Microarray gene expression, Meta-analysis, Medicine, Pharmacology (medical), Neurology (clinical), business, Biological Psychiatry
Published: 2019
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164. Genetic Implication of a Novel Thiamine Transporter in Human Hypertension

Author: Zhiyun Wei, Tomi Pastinen, C. Makena Hightower, Jason J. Corneveaux, Jose Pablo Miramontes-Gonzalez, Caroline M. Nievergelt, Milton H. Saier, Adam X. Maihofer, Matthew J. Huentelman, Kuixing Zhang, Eleazar Eskin, Daniel T. O'Connor, Eric I. Sun, Jill Waalen, Georg Ehret, Manjula Mahata, Fangwen Rao, Andrew J. Schork, Nicholas J. Schork, and Ehret, Georg Benedikt
Subjects: Adult, Male, hypertension, Genotype, Population, Genome-wide association study, Locus (genetics), Blood Pressure, 030204 cardiovascular system & hematology, Quantitative trait locus, DNA/genetics, Article, Hypertension/genetics/metabolism/physiopathology, thiamine, 03 medical and health sciences, 0302 clinical medicine, Thiamine transporter, Medicine, Humans, Genetic Predisposition to Disease, Allele, Membrane Transport Proteins/genetics/metabolism, education, Alleles, 030304 developmental biology, Genetic association, SLC35F3, Genetics, ddc:616, 0303 health sciences, education.field_of_study, Polymorphism, Genetic, biology, business.industry, Membrane Transport Proteins, DNA, Thiamine/genetics/metabolism, 3. Good health, Phenotype, transporter, biology.protein, Thiamine, Female, business, Cardiology and Cardiovascular Medicine, Genome-Wide Association Study
Abstract: Objectives: This study coupled 2 strategies - trait extremes and genome-wide pooling - to discover a novel blood pressure (BP) locus that encodes a previously uncharacterized thiamine transporter. Background: Hypertension is a heritable trait that remains the most potent and widespread cardiovascular risk factor, although details of its genetic determination are poorly understood. Methods: Representative genomic deoxyribonucleic acid (DNA) pools were created from male and female subjects in the highest- and lowest-fifth percentiles of BP in a primary care population of >50,000 patients. The peak associated single-nucleotide polymorphisms were typed in individual DNA samples, as well as in twins/siblings phenotyped for cardiovascular and autonomic traits. Biochemical properties of the associated transporter were evaluated in cellular assays. Results: After chip hybridization and calculation of relative allele scores, the peak associations were typed in individual samples, revealing an association between hypertension, systolic BP, and diastolic BP and the previously uncharacterized solute carrier SLC35F3. The BP genetic association at SLC35F3 was validated by meta-analysis in an independent sample from the original source population, as well as the International Consortium for Blood Pressure Genome-Wide Association Studies (across North America and western Europe). Sequence homology to a putative yeast thiamine (vitamin B1) transporter prompted us to express human SLC35F3 in Escherichia coli, which catalyzed [3H]-thiamine uptake. SLC35F3 risk-allele homozygotes (T/T) displayed decreased erythrocyte thiamine content on microbiological assay. In twin pairs, the SLC35F3 risk allele predicted heritable cardiovascular traits previously associated with thiamine deficiency, including elevated cardiac stroke volume with decreased vascular resistance, and elevated pressor responses to environmental (cold) stress. Allelic expression imbalance confirmed that cis variation at the human SLC35F3 locus influenced expression of that gene, and the allelic expression imbalance peak coincided with the hypertension peak. Conclusions: Novel strategies were coupled to position a new hypertension-susceptibility locus, uncovering a previously unsuspected thiamine transporter whose genetic variants predicted several disturbances in cardiac and autonomic function. The results have implications for the pathogenesis and treatment of systemic hypertension. © 2014 by the American College of Cardiology Foundation.
Published: 2014
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165. 228. Transcriptome-Wide Analysis Identifies ICAM5 Differentially Expressed in Chronic PTSD Symptoms Versus Resiliency Post Trauma Exposure in a Longitudinal Study

Author: Tanja Jovanovic, Charles B. Nemeroff, Amanda J. Myers, Barbara O. Rothbaum, Isaac R. Galatzer-Levy, Vasiliki Michopoulos, Matthew J. Huentelman, Guia Guffanti, Kerry J. Ressler, Nikolaos P. Daskalakis, Adriana Lori, Ryan Richholt, and Aliza P. Wingo
Subjects: Oncology, Transcriptome, medicine.medical_specialty, Longitudinal study, business.industry, Internal medicine, medicine, business, Biological Psychiatry
Published: 2018
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166. Genetic architecture of subcortical brain structures in 38,851 individuals

Author: Mar Matarin, Douglas N. Greve, Nic J.A. van der Wee, Evan Fletcher, Christiane Wolf, Arvin Saremi, Joshua W. Cheung, Randy L. Gollub, David Ames, Honghuang Lin, Nicholas G. Martin, Manon Bernard, Daniel R. Weinberger, Henry Völzke, Manuel Mattheisen, George Davey Smith, Dan J. Stein, Dorret I. Boomsma, John D. Eicher, Henrik Walter, Massimo Pandolfo, Andreas Meyer-Lindenberg, D. Hoehn, Louis N. Vinke, Wiro J. Niessen, G. Bruce Pike, Simon E. Fisher, Jerome I. Rotter, Neeltje E.M. van Haren, Neda Jahanshad, Stephen M. Lawrie, Mark E. Bastin, Sanjay M. Sisodiya, Marcella Rietschel, Jean Shin, Dirk J. Heslenfeld, Ingrid Agartz, Lars Nyberg, Nina Romanczuk-Seiferth, Clifford R. Jack, Markus Scholz, Baljeet Singh, Rachel M. Brouwer, Marco P. Boks, M. Mallar Chakravarty, Magda Tsolaki, André G. Uitterlinden, Amelia A. Assareh, Nastassja Koen, Beng-Choon Ho, Muralidharan Sargurupremraj, Perminder S. Sachdev, James T. Becker, Narelle K. Hansell, Katrin Hegenscheid, Zdenka Pausova, Irina Filippi, Hans van Bokhoven, Miguel E. Rentería, Robert C. Green, M. Kamran Ikram, Vidar M. Steen, Marc M. Bohlken, Iryna O. Fedko, Jayandra J. Himali, Hieab H.H. Adams, Erik G. Jönsson, Esther Walton, Gunter Schumann, Dennis van der Meer, Jordan W. Smoller, Ganesh Chauhan, Simon Lovestone, Kwangsik Nho, Gianpiero L. Cavalleri, Andrew Simmons, Shuo Li, Hannah J. Jones, Lavinia Athanasiu, Shahrzad Kharabian Masouleh, Micael Andersson, Andreas Heinz, Lucija Abramovic, Alexa S. Beiser, Vilmundur Gudnason, Oliver Gruber, Tianye Jia, Daan van Rooij, Philip L. De Jager, Allison Stevens, Thomas W. Mühleisen, Deborah Janowitz, Anita L. DeStefano, Gennady V. Roshchupkin, Maria C. Valdés Hernández, Nynke A. Groenewold, Vince D. Calhoun, Cornelia M. van Duijn, Roberto Toro, Wiepke Cahn, Florian Holsboer, Asta Håberg, Aaron Goldman, Lisa R. Yanek, Jingyun Yang, Matthias L. Schroeter, Patrizia Mecocci, Sven J. van der Lee, Gareth E. Davies, Elena Shumskaya, Jia Yu Koh, Thomas H. Wassink, Wei Wen, A. Veronica Witte, Anders M. Dale, Diana Tordesillas-Gutiérrez, Iwona Kłoszewska, Benedicto Crespo-Facorro, Sylvane Desrivières, Catharina A. Hartman, Saskia P. Hagenaars, Jennifer S. Richards, Martine Hoogman, Philipp G. Sämann, Andre F. Marquand, Stephanie Le Hellard, Christophe Tzourio, Sven Cichon, Tomáš Paus, Ole A. Andreassen, Pieter J. Hoekstra, Gabriel Cuellar-Partida, Joanna M. Wardlaw, Thomas H. Mosley, Bernd Kraemer, Barbara Franke, Joshua C. Bis, Katharina Wittfeld, Christopher D. Whelan, Christine Macare, Unn K. Haukvik, Lars T. Westlye, Loes M. Olde Loohuis, Sudha Seshadri, Michelle Luciano, Shannon L. Risacher, Diane M. Becker, Tamara B. Harris, Georg Homuth, Sungeun Kim, Lenore J. Launer, Debra A. Fleischman, Tulio Guadalupe, Joshua L. Roffman, Marie-José van Tol, Stéphanie Debette, Benno Pütz, Dick J. Veltman, Ching-Yu Cheng, Norman Delanty, Chantal Depondt, Jaap Oosterlaan, Nicola J. Armstrong, Myriam Fornage, Eric Westman, Anouk den Braber, Nanda Rommelse, Qiong Yang, Yasaman Saba, Tatiana Foroud, Susanne Erk, Saima Hilal, Paul M. Thompson, Eco J. C. de Geus, Paul A. Nyquist, Wolfgang Hoffmann, Alexander Teumer, Avram J. Holmes, Qiang Chen, Najaf Amin, Albert V. Smith, Tom V. Lee, Sarah E. Medland, Nazanin Mirza-Schreiber, Alejandro Arias-Vasquez, Grant W. Montgomery, Han G. Brunner, Meike W. Vernooij, Bernard Mazoyer, Guillén Fernández, Henry Brodaty, Claudia L. Satizabal, Thomas Wolfers, Herve Lemaitre, Li Shen, Greig I. de Zubicaray, Pauline Maillard, Hans J. Grabe, Ingrid Melle, Simone Reppermund, Charles DeCarli, Anbupalam Thalamuthu, Helena Schmidt, Peter R. Schofield, Marjolein M.J. van Donkelaar, Thomas Espeseth, Christopher Chen, Matthias Nauck, Norbert Hosten, Clyde Francks, Oliver Grimm, Tonya White, Andrew J. Saykin, Andrew M. McIntosh, Oscar L. Lopez, Philippe Amouyel, William T. Longstreth, Janita Bralten, Nhat Trung Doan, John B.J. Kwok, Charles C. White, Ralph Burkhardt, Jessika E. Sussmann, Michael W. Weiner, Markus M. Nöthen, Katie L. McMahon, Derrek P. Hibar, Dalia Kasperaviciute, Maria J. Knol, Hilleke E. Hulshoff Pol, Markus Loeffler, Bruno Vellas, Matthew J. Huentelman, Owen Carmichael, Jason L. Stein, Ryota Kanai, Lianne Schmaal, Hilkka Soininen, Bruce M. Psaty, Jan K. Buitelaar, Jean-Luc Martinot, Ian J. Deary, Venkata S. Mattay, Theo G.M. van Erp, Arno Villringer, Andrew D. Johnson, Srdjan Djurovic, Benjamin S. Aribisala, Lachlan T. Strike, Phil Lee, David C. Liewald, Tien Yin Wong, Tomas Axelsson, Jessica A. Turner, Marieke Klein, Kristel R. van Eijk, Saud Alhusaini, Konstantinos Arfanakis, M. Arfan Ikram, Stefan Ehrlich, Sebastian Mohnke, Marcel P. Zwiers, Karen A. Mather, Jonathan C Ipser, Joshua M. Shulman, Brenda W.J.H. Penninx, Reinhold Schmidt, Arthur W. Toga, Christopher R.K. Ching, René S. Kahn, Bertram Müller-Myhsok, Yuri Milaneschi, Margaret J. Wright, Martina Papmeyer, Fabrice Crivello, David A. Bennett, Randy L. Buckner, Edith Hofer, Roel A. Ophoff, Steven G. Potkin, Albert Hofman, Dennis van 't Ent, Sudheer Giddaluru, Roberto Roiz-Santiañez, Andrew J. Schork, Jouke-Jan Hottenga, Yanhui Hu, Kazima B. Bulayeva, Xueqiu Jian, Clinical Genetics, Epidemiology, Radiology & Nuclear Medicine, Medical Informatics, Neurology, Child and Adolescent Psychiatry / Psychology, Psychiatry, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Clinical Cognitive Neuropsychiatry Research Program (CCNP), APH - Mental Health, Pediatric surgery, Epidemiology and Data Science, Anatomy and neurosciences, Amsterdam Neuroscience - Brain Imaging, APH - Digital Health, General Paediatrics, ARD - Amsterdam Reproduction and Development, Psychiatrie & Neuropsychologie, Klinische Genetica, RS: GROW - R4 - Reproductive and Perinatal Medicine, MUMC+: DA Klinische Genetica (5), RS: MHeNs - R2 - Mental Health, Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut de Neurosciences cognitives et intégratives d'Aquitaine (INCIA), Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1 (UB)-SFR Bordeaux Neurosciences-Centre National de la Recherche Scientifique (CNRS), Génétique humaine et fonctions cognitives - Human Genetics and Cognitive Functions (GHFC (UMR_3571 / U-Pasteur_1)), Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité), Stochastics, Biological Psychology, APH - Methodology, Clinical Neuropsychology, IBBA, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, and Cognitive Psychology
Subjects: Netherlands Twin Register (NTR), LD SCORE REGRESSION, Stress-related disorders Donders Center for Medical Neuroscience [Radboudumc 13], Caudate nucleus, Genome-wide association study, Bio-Organic Chemistry, Language in Interaction, neuroscience, Cohort Studies, BASAL GANGLIA, 0302 clinical medicine, 130 000 Cognitive Neurology & Memory, metabolism [Drosophila melanogaster], Basal ganglia, Adult, Aged, Animals, Brain, Drosophila melanogaster, Humans, Magnetic Resonance Imaging, Middle Aged, Neurodevelopmental Disorders, Organ Size, Genetic Variation, Genome-Wide Association Study, genetics [Drosophila melanogaster], 0303 health sciences, genetics [Neurodevelopmental Disorders], Putamen, 220 Statistical Imaging Neuroscience, 3. Good health, ALZHEIMERS-DISEASE, DROSOPHILA, Globus pallidus, VINTAGE, epidemiology, Synaptic signaling, Neuroinformatics, EXPRESSION, Nucleus accumbens, Biology, 150 000 MR Techniques in Brain Function, Article, 03 medical and health sciences, All institutes and research themes of the Radboud University Medical Center, SDG 3 - Good Health and Well-being, ddc:570, PLASMA-PROTEIN, pathology [Neurodevelopmental Disorders], Genetics, GENOME-WIDE ASSOCIATION, HEALTHY, METAANALYSIS, 030304 developmental biology, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], RISK LOCI, Genetic architecture, ALKALINE-PHOSPHATASE, nervous system, metabolism [Brain], genome-wide association studies, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, growth & development [Drosophila melanogaster], anatomy & histology [Brain], Neuroscience, 030217 neurology & neurosurgery
Abstract: Aims/hypothesis MODY can be wrongly diagnosed as type 1 diabetes in children. We aimed to find the prevalence of MODY in a nationwide population-based registry of childhood diabetes. Methods Using next-generation sequencing, we screened the HNF1A, HNF4A, HNF1B, GCK and INS genes in all 469 children (12.1%) negative for both GAD and IA-2 autoantibodies and 469 antibody-positive matched controls selected from the Norwegian Childhood Diabetes Registry (3882 children). Variants were classified using clinical diagnostic criteria for pathogenicity ranging from class 1 (neutral) to class 5 (pathogenic). Results We identified 58 rare exonic and splice variants in cases and controls. Among antibody-negative patients, 6.5% had genetic variants of classes 3–5 (vs 2.4% in controls; p = 0.002). For the stricter classification (classes 4 and 5), the corresponding number was 4.1% (vs 0.2% in controls; p = 1.6 × 10−5). HNF1A showed the strongest enrichment of class 3–5 variants, with 3.9% among antibody-negative patients (vs 0.4% in controls; p = 0.0002). Antibody-negative carriers of variants in class 3 had a similar phenotype to those carrying variants in classes 4 and 5. Conclusions/interpretation This is the first study screening for MODY in all antibody-negative children in a nationwide population-based registry. Our results suggest that the prevalence of MODY in antibody-negative childhood diabetes may reach 6.5%. One-third of these MODY cases had not been recognised by clinicians. Since a precise diagnosis is important for treatment and genetic counselling, molecular screening of all antibody-negative children should be considered in routine diagnostics.
Published: 2019
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167. A cellular model of amyloid precursor protein processing and amyloid-β peptide production

Author: Aaron Walker, Amanda Gonzales, Marwan N. Sabbagh, Mi Mi P. Macias, Matthew J. Huentelman, Boris Decourt, Ashley L. Siniard, and Jason J. Corneveaux
Subjects: Time Factors, Amyloid beta, Tretinoin, Models, Biological, Article, Amyloid beta-Protein Precursor, Neuroblastoma, Keratolytic Agents, Cell Line, Tumor, Gene expression, Amyloid precursor protein, medicine, Aspartic Acid Endopeptidases, Humans, Senile plaques, Amyloid beta-Peptides, biology, General Neuroscience, Neurodegeneration, P3 peptide, medicine.disease, Gene Expression Regulation, Neoplastic, Biochemistry, Receptors, Tumor Necrosis Factor, Type I, Cell culture, biology.protein, Amyloid Precursor Protein Secretases, Amyloid precursor protein secretase
Abstract: Background A hallmark pathologic feature of Alzheimer's disease (AD) is accumulation of neuritic senile plaques in the brain parenchyma. Neurotoxic plaque cores are composed predominantly of amyloid-β (Aβ) peptides of 40 and 42 amino acids in length, formed by sequential cleavage of amyloid precursor protein (APP) by β-, and γ-secretases. There is a great interest in approaches to modulate Aβ peptide production and develop therapeutic interventions to reduce Aβ levels to halt or slow the progression of neurodegeneration. New method We characterized and present the BE(2)-M17 human neuroblastoma cell line as a novel in vitro model of the APP-cleavage cascade to support future (1) functional studies of molecular regulators in Aβ production, and (2) high-throughput screening assays of new pharmacotherapeutics. Results In BE(2)-M17 cells, both RNA (i.e., RT-PCR, RNA sequencing) and protein analyses (i.e., Western blots, ELISA), show endogenous expression of critical components of the amyloidogenic pathway, APP-cleavage intermediates CTF83 and CTF99, and final cleavage products Aβ40 and Aβ42. We further report effects of retinoic acid-mediated differentiation on morphology and gene expression in this cell line. Comparison with existing method(s) In contrast to primary isolates or other cell lines reported in current literature, BE(2)-M17 not only sustains baseline expression of the full contingent of APP-processing components, but also remains stably adherent during culture, facilitating experimental manipulations. Conclusions Our evidence supports the use of BE(2)-M17 as a novel, human, cell-based model of the APP processing pathway that offers a potential streamlined approach to dissect molecular functions of endogenous regulatory pathways, and perform mechanistic studies to identify modulators of Aβ production.
Published: 2014
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168. Do Candidate Genes Affect the Brain’s White Matter Microstructure? Large-Scale Evaluation of 6,165 Diffusion MRI Scans

Author: Barbara Franke, Marcel P. Zwiers, Emma Sprooten, Dennis van 't Ent, Braxton D. Mitchell, Herve Lemaitre, David Goldman, Michael W. Weiner, Janita Bralten, Jaap Oosterlaan, Ravi Duggirala, Annchen R. Knodt, Artemis Zavaliangos-Petropulu, Simon E. Fisher, Habib Ganjgahi, Talia M. Nir, Katie L. McMahon, Joshua Faskowitz, Peter Kochunov, Susana Muñoz-Maniega, Martine Hoogman, Douglas E. Williamson, L. Elliot Hong, Paul M. Thompson, Yihong Yang, Ahmad R. Hariri, Margaret J. Wright, Charles P. Peterson, Mark E. Bastin, Anderson M. Winkler, Kimm J. E. van Hulzen, Elliot A. Stein, David C. Glahn, Andrew J. Saykin, Anouk den Braber, Gunter Schumann, Ian J. Deary, Natalie A. Royle, Neda Jahanshad, Nicholas G. Martin, Jessika E. Sussmann, Joanne E. Curran, Peter T. Fox, John M. Starr, Rene L. Olvera, Joanna M. Wardlaw, Laura Almasy, Jean-Luc Martinot, Binish Patel, Matthew J. Huentelman, Maria Valdez-Hernan, Thomas E. Nichols, Andrew M. McIntosh, Greig de Zubicary, Matt A. Bernstein, John Blangero, Asta Håberg, Sarah E. Medland, and Stuart Richie
Subjects: Genetics, 0303 health sciences, CNTNAP2, Candidate gene, Single-nucleotide polymorphism, Biology, White matter, 03 medical and health sciences, DISC1, 0302 clinical medicine, medicine.anatomical_structure, Fractional anisotropy, biology.protein, medicine, SNP, 030217 neurology & neurosurgery, 030304 developmental biology, Diffusion MRI
Abstract: Susceptibility genes for psychiatric and neurological disorders - including APOE, BDNF, CLU,CNTNAP2, COMT, DISC1, DTNBP1, ErbB4, HFE, NRG1, NTKR3, and ZNF804A - have been reported to affect white matter (WM) microstructure in the healthy human brain, as assessed through diffusion tensor imaging (DTI). However, effects of single nucleotide polymorphisms (SNPs) in these genes explain only a small fraction of the overall variance and are challenging to detect reliably in single cohort studies. To date, few studies have evaluated the reproducibility of these results. As part of the ENIGMA-DTI consortium, we pooled regional fractional anisotropy (FA) measures for 6,165 subjects (CEU ancestry N=4,458) from 11 cohorts worldwide to evaluate effects of 15 candidate SNPs by examining their associations with WM microstructure. Additive association tests were conducted for each SNP. We used several meta-analytic and mega-analytic designs, and we evaluated regions of interest at multiple granularity levels. The ENIGMA-DTI protocol was able to detect single-cohort findings as originally reported. Even so, in this very large sample, no significant associations remained after multiple-testing correction for the 15 SNPs investigated. Suggestive associations (1.3×10-4 < p < 0.05, uncorrected) were found for BDNF, COMT, and ZNF804A in specific tracts. Meta-and mega-analyses revealed similar findings. Regardless of the approach, the previously reported candidate SNPs did not show significant associations with WM microstructure in this largest genetic study of DTI to date; the negative findings are likely not due to insufficient power. Genome-wide studies, involving large-scale meta-analyses, may help to discover SNPs robustly influencing WM microstructure.
Published: 2017
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169. Novel genetic loci associated with hippocampal volume

Author: Benjamin S. Aribisala, Marjolein M.J. van Donkelaar, Randy L. Gollub, Rachel M. Brouwer, Norman Delanty, Tomas Axelsson, Oscar L. Lopez, Thomas Espeseth, Alejandro Arias-Vasquez, Kristel R. van Eijk, Tien Yin Wong, Jeroen van der Grond, Georg Homuth, James T. Becker, Sebastian Guelfi, Anton J. M. de Craen, Bruno Vellas, Christopher R.K. Ching, Charles C. DeCarli, Janita Bralten, Lars T. Westlye, Ryota Hashimoto, Sampath Arepalli, Bertram Müller-Myhsok, Loes M. Olde Loohuis, Sudha Seshadri, Simon E. Fisher, K Hegenscheid, Konstantinos Arfanakis, Zdenka Pausova, Robert C. Green, Simone Reppermund, Katie L. McMahon, Ashley Beecham, Daan van Rooij, Marcel P. Zwiers, Karen A. Mather, Randy L. Buckner, Edith Hofer, Marcella Rietschel, Fabrice Crivello, Ronald H. Zielke, G. Bruce Pike, Thomas W. Mühleisen, Myriam Fornage, Kazutaka Ohi, Gareth E. Davies, Chantal Depondt, Gabriel Cuellar-Partida, Iryna O. Fedko, Peter R. Schofield, Steven G. Potkin, Albert Hofman, Paul M. Thompson, Wiro J. Niessen, Deborah Janowitz, Nicholas G. Martin, Li Shen, Mina Ryten, Meike W. Vernooij, Michael E. Weale, Tonya White, Dennis van 't Ent, Sudheer Giddaluru, Nanda Rommelse, Wei Wen, Sven J. van der Lee, Eco J. C. de Geus, Aaron Goldman, Joanne E. Curran, Qiang Chen, Jean Shin, Wayne C. Drevets, Thomas H. Mosley, Matthias Nauck, Massimo Pandolfo, Anders M. Dale, Paul A. Nyquist, Girma Woldehawariat, Francis J. McMahon, Najaf Amin, Emma J. Rose, Norbert Hosten, David J. Stott, Sigurdur Sigursson, Andrew J. Saykin, M. Kamran Ikram, Pieter J. Hoekstra, Neda Jahanshad, Grant W. Montgomery, Michael Weiner, Aad van der Lugt, Esther Walton, Gunter Schumann, Clyde Francks, Narelle K. Hansell, Xinmin Liu, Herve Lemaitre, Cornelia M. van Duijn, Ralph L. Sacco, Clinton B. Wright, Arvin Saremi, Clifford R. Jack, Andre G. Uitterlinden, G. Donohoe, Tomáš Paus, Michael Griswold, Peter T. Fox, Alan B. Zonderman, Lukas Pirpamer, Christiane Wolf, Aiden Corvin, Shannon L. Risacher, Ian Ford, Philippe Amouyel, Henrik Walter, Beng-Choon Ho, William T. Longstreth, M. Arfan Ikram, Hieab H.H. Adams, Colin Smith, Sungeun Kim, Simon Lovestone, Stefan Ehrlich, Benno Pütz, Markus M. Nöthen, Susana Muñoz Maniega, Ian J. Deary, Elena Shumskaya, Susan H. Blanton, Jerome I. Rotter, Neeltje E.M. van Haren, Mar Matarin, I. Kloszewska, Ganesh Chauhan, Anita L. DeStefano, Barbara Franke, Lars Nyberg, Tatiana Foroud, Tianye Jia, Manon Bernard, Unn K. Haukvik, Rebecca F. Gottesman, Srdjan Djurovic, Ching-Yu Cheng, Lachlan T. Strike, Alex P. Zijdenbos, Jouke-Jan Hottenga, Vince D. Calhoun, Yuri Milaneschi, David C. Glahn, Phil Lee, Amelia A. Assareh, Adaikalavan Ramasamy, Emma Sprooten, Debra A. Fleischman, David R. McKay, J. Raphael Gibbs, Bruce M. Psaty, Kazima B. Bulayeva, Bryan J. Traynor, Vilmundur Gudnason, Jessika E. Sussmann, Alexander Teumer, Guillén Fernández, Katharina Wittfeld, Christophe Tzourio, Dennis van der Meer, Wolfgang Hoffmann, Sebastian Mohnke, David C. Liewald, Jordan W. Smoller, Theo G.M. van Erp, Marcel Van Der Brug, Dara M. Cannon, Lenore J. Launer, D. Ames, Juan C. Troncoso, Brenda W.J.H. Penninx, Dhananjay Vaidya, Thomas D. Dyer, Marie-José van Tol, Han G. Brunner, Andrew Singleton, Lavinia Athanasiu, Adam M. Brickman, Eric Westman, P. Mecocci, Sandra Barral, Dick J. Veltman, Catharina A. Hartman, Benedicto Crespo-Facorro, Alexa S. Beiser, Vincent Chouraki, Nhat Trung Doan, Marieke Klein, Jaap Oosterlaan, Natalie A. Royle, John B.J. Kwok, Saud Alhusaini, Ingrid Melle, Roberto Toro, Ravi Duggirala, Allissa Dillman, Reinhold Schmidt, Lisa R. Yanek, Anbupalam Thalamuthu, Helena Schmidt, Derrek P. Hibar, Albert V. Smith, Jean-Luc Martinot, Thomas H. Wassink, Jennifer S. Richards, Oliver Martinez, Joshua L. Roffman, Sylvane Desrivières, Hilkka Soininen, Rene L. Olvera, Ole A. Andreassen, Diana Tordesillas-Gutiérrez, Claudia L. Satizabal, Owen Carmichael, Lianne Schmaal, Bernd Kraemer, Martine Hoogman, Daniah Trabzuni, Oliver Grimm, Andrew M. McIntosh, René S. Kahn, Nazanin Karbalai, Margaret J. Wright, Harald H.H. Göring, Martina Papmeyer, Roberto Roiz-Santiañez, Luigi Ferrucci, David A. Bennett, Kwangsik Nho, Gianpiero L. Cavalleri, Andreas Meyer-Lindenberg, Masashi Ikeda, Avram J. Holmes, Greig I. de Zubicaray, Andreas Heinz, Tatjana Rundek, Maria del C. Valdés Hernández, Dalia Kasperaviciute, Dan L. Longo, Matthew J. Huentelman, Wiepke Cahn, Beverly G. Windham, Michael A. Nalls, Philipp G. Sämann, Stella Trompet, Vidar M. Steen, Marc M. Bohlken, Christopher D. Whelan, Hilleke E. Hulshoff Pol, Susanne Erk, Dorret I. Boomsma, Dirk J. Heslenfeld, Masaki Fukunaga, D. Hoehn, Stephen M. Lawrie, Mark E. Bastin, Marco P. Boks, M. Mallar Chakravarty, M. R. Cookson, C. McDonald, Magda Tsolaki, Badri N. Vardarajan, Jason L. Stein, Jan K. Buitelaar, Erik G. Jönsson, Oliver Gruber, Robert Johnson, Jingyun Yang, Joshua C. Bis, J. Wouter Jukema, Tulio Guadalupe, Nina Romanczuk-Seiferth, Kjetil Nordbø Jørgensen, Henry Brodaty, Diane M. Becker, Anouk den Braber, Allison C. Nugent, Thomas Wolfers, John Hardy, Joanna M. Wardlaw, Michelle Luciano, Christine Macare, Dena G. Hernandez, D. Morris, John Blangero, Andrew J. Schork, Daniel R. Weinberger, Johanna Hass, Andrew Simmons, Micael Andersson, Lucija Abramovic, David S. Knopman, Mark Jenkinson, Roel A. Ophoff, Sanjay M. Sisodiya, Boris A. Gutman, Asta Håberg, Stephanie Le Hellard, Stéphanie Debette, Nicola J. Armstrong, Sarah E. Medland, Hans J. Grabe, Henry Völzke, Thomas E. Nichols, Manuel Mattheisen, Sven Cichon, Venkata S. Mattay, Ingrid Agartz, Stefan Ropele, Lorna M. Lopez, Hans van Bokhoven, Philip L. De Jager, Miguel E. Rentería, Laura Almasy, Arthur W. Toga, Michael Czisch, Florian Holsboer, Ryota Kanai, Nic J.A. van der Wee, Peter Kochunov, Perminder S. Sachdev, Andre F. Marquand, Christian Enzinger, Anderson M. Winkler, David Geffen School of Medicine [Los Angeles], University of California [Los Angeles] (UCLA), University of California-University of California, Metacohorts Consortium, Institut Gilbert-Laustriat : Biomolécules, Biotechnologie, Innovation Thérapeutique, Université Louis Pasteur - Strasbourg I-Centre National de la Recherche Scientifique (CNRS), INSERM Research Center for Epidemiology and Biostatistics (U897) Team Neuroepidemiology, Bordeaux, France College of Health Sciences, University of Bordeaux, Bordeaux, France, sans affiliation, QIMR Berghofer Medical Research Institute, University of Washington [Seattle], Department of Psychiatry, Donders Centre for Neuroscience, Radboud University Medical Center [Nijmegen]-Radboud university [Nijmegen]-Radboud University Medical Center [Nijmegen]-Radboud university [Nijmegen], Department of Human Genetics, Radboud University Medical Center [Nijmegen], Institute of Psychiatry, Psychology & Neuroscience, King's College London, King‘s College London, University Medical Center [Utrecht], Department of Neurology and Neurosurgery [Montreal], Montreal Neurological Institute and Hospital, McGill University = Université McGill [Montréal, Canada]-McGill University = Université McGill [Montréal, Canada], Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland (RCSI), Erasmus University Medical Center [Rotterdam] (Erasmus MC), Sahlgrenska University Hospital [Gothenburg], Department of Biomedical Engineering, Illinois Institute of Technology (IIT), Rush University Medical Center [Chicago], University of Edinburgh, Lagos State University (LASU), Assistance Publique - Hôpitaux de Marseille (APHM), University of Oslo (UiO), Department of medical sciences, Uppsala University-Molecular Medicine-Science for Life Laboratory, John P. Hussman Institute for Human Genomics, University of Miami Leonard M. Miller School of Medicine (UMMSM), Boston University School of Medicine (BUSM), Boston University [Boston] (BU), Centre de résonance magnétique biologique et médicale (CRMBM), Aix Marseille Université (AMU)-Assistance Publique - Hôpitaux de Marseille (APHM)-Centre National de la Recherche Scientifique (CNRS), Genetics, Donders Institute for Brain, Cognition and Behaviour, Radboud university [Nijmegen], Neurology Department, University of California, Davis (UCDavis-Neuro), University of California [Davis] (UC Davis), Douglas Mental Health University Institute, McGill University = Université McGill [Montréal, Canada], Université Lille Nord de France (COMUE), Facteurs de Risque et Déterminants Moléculaires des Maladies liées au Vieillissement - U 1167 (RID-AGE), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Groupe d'imagerie neurofonctionnelle (GIN), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut des Maladies Neurodégénératives [Bordeaux] (IMN), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS), MetaGenoPolis, Institut National de la Recherche Agronomique (INRA), Haukeland University Hospital, University of Bergen (UiB), Ames Laboratory [Ames, USA], Iowa State University (ISU)-U.S. Department of Energy [Washington] (DOE), Johns Hopkins University School of Medicine [Baltimore], Language and Genetics Department [Nijmegen], Max Planck Institute for Psycholinguistics, Max-Planck-Gesellschaft-Max-Planck-Gesellschaft, International Max Planck Research School for Language Sciences (IMPRS ), Laboratory of Neuro Imaging [Los Angeles] (LONI), Department of Mathematics [UCLA], Georgia Institute of Technology [Atlanta], Medizinische Klinik, Universitätsklinikum Heidelberg, Heidelberg, Germany, Greifswald University Hospital, Beijing Normal University (BNU), Aalborg University [Denmark] (AAU), UCL Institute of Neurology and Epilepsy Society, Department of Medicine, Imperial College London, Service d'Endocrinologie [CHRU Nancy], Centre Hospitalier Régional Universitaire de Nancy (CHRU Nancy), Center for Translational Research in Systems Neuroscience and Psychiatry, Department of Psychiatry and Psychotherapy, University Medical Center, Goettingen 37075, Germany, Medstar Research Institute, Clinical And Experimental Epilepsy, Centre for Healthy Brain Ageing, School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, Australia, Department of Genomics, Life and Brain Center, University of Bonn, Institute of Human Genetics, Department of Biomedicine and the Centre for Integrative Sequencing, Aarhus University [Aarhus], VU University Medical Center [Amsterdam], Indiana University School of Medicine, Indiana University System, Indiana Alzheimer Disease Center, Indiana University System-Indiana University System, Institute of Food & Health, University College Dublin, University College Dublin [Dublin] (UCD), Department of Neurology, Statistical Genetics Group, Respiratory Epidemiology and Public Health, Imperial College London-School of public health, The University of Hong Kong (HKU)-The University of Hong Kong (HKU)-MRC-HPA Centre for Environment and Health, Centro de Investigación Biomédica en Red Salud Mental [Madrid] (CIBER-SAM), Karakter Child and Adolescent Psychiatry University Centre [Nijmegen], Department of Neurology [Austria], Medical University Graz, Institut Parisien de Chimie Moléculaire (IPCM), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Max Planck Institute of Psychiatry, Max-Planck-Gesellschaft, INSERM, Neuroepidemiology U708, Bordeaux, France, Department of Neurosciences [San Diego], University of California [San Diego] (UC San Diego), Department of Cognitive Sciences [San Diego], Wuhan University [China], Plymouth University, Dpt of Psychiatry [New Haven], Yale University School of Medicine, Queensland Institute of Medical Research, School of Psychology, University of Queensland, Brisbane 4072, Australia, University of Queensland [Brisbane], Centre for Advanced Imaging, University of Queensland, Brisbane 4072, Australia, Gènes, Synapses et Cognition (CNRS - UMR3571 ), Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Reta Lila Weston Institute and Department of Molecular Neuroscience, UCL, Institute of Neurology [London], Department of Genetics, King Faisal Specialist Hospital and Research Centre, Depts of Radiology, Leiden University Medical Center (LUMC), University of Twente [Netherlands], Department of Psychiatry and Human Behavior [Irvine], University of California [Irvine] (UCI), RCMG Ghent, Universiteit Gent = Ghent University [Belgium] (UGENT), Centre épigénétique et destin cellulaire (EDC (UMR_7216)), Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Department of Psychology [Oslo], Faculty of Social Sciences [Oslo], University of Oslo (UiO)-University of Oslo (UiO), German Research Center for Neurodegenerative Diseases - Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), National Institutes of Health [Bethesda] (NIH), Biospective [Montréal], KG Jebsen Centre for Psychosis Research, University of Oslo (UiO)-Institute of Clinical Medicine-Oslo University Hospital [Oslo], Southwest Foundation for Biomedical Research, Department of Psychiatry and National Ageing Research Institute, University of Melbourne, Université de Lille, Department of Clinical Genetics, Department of Experimental Physics, National University of Ireland Maynooth (Maynooth University), Texas Biomedical Research Institute [San Antonio, TX], The University of Texas Health Science Center at Houston (UTHealth), 849 Department of Human Genetics, Centre for Healthy Brain Ageing, University of New South Wales [Sydney] (UNSW), Dementia Collaborative Research Centre, Brain Center Rudolf Magnus, Department of Psychiatry, UMC Utrecht, Utrecht 3584 CX, The Netherlands, Department of Psychiatry [Boston], Massachusetts General Hospital [Boston], N.I. Vavilov Institute of General Genetics, Russian Academy of Sciences, Moscow 119333, Russia, Icahn School of Medicine at Mount Sinai [New York] (MSSM), Department of Electrical and Computer Engineering [Albuquerque] (ECE Department), The University of New Mexico [Albuquerque], The Mind Research Network, Human Genetics Branch, National Institutes of Health [Bethesda] (NIH)-National Institute of Mental Health (NIMH), Division of Molecular and Cellular Therapeutics, Northwestern Polytechnical University [Xi'an] (NPU), Institute of Neuroscience and Medicine (INM-1), Research Center Juelich, Division of Medical Genetics, University of Basel (Unibas), Cell Biology and Gene Expression Section, National Institute of Health, Bethesda, Trinity College Dublin-St. James's Hospital, Neuropsychiatric Genetics Research Group, Trinity College Dublin, Bijvoet Center of Biomolecular Research [Utrecht], Utrecht University [Utrecht], York Structural Biology Laboratory, Department of Chemistry, University of York [York, UK], Harvard Medical School [Boston] (HMS), Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, USA, Broad Institute of MIT and Harvard (BROAD INSTITUTE), 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], Program in Translational NeuroPsychiatric Genomics, Brigham and Women's Hospital [Boston], School of Psychology, University of Queensland, Epidémiologie et Biostatistique [Bordeaux], Université Bordeaux Segalen - Bordeaux 2-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Neurology Division, Beaumont Hospital, Dublin 9, Ireland, Beaumont Hospital, Hôpital Erasme [Bruxelles] (ULB), Faculté de Médecine [Bruxelles] (ULB), Université libre de Bruxelles (ULB)-Université libre de Bruxelles (ULB)-Faculté de Médecine [Bruxelles] (ULB), Université libre de Bruxelles (ULB)-Université libre de Bruxelles (ULB), Laboratory of Neurogenetics, Department of Genomics, Biological Psychology, Neuroscience Campus Amsterdam & EMGO Institute for Health and Care Research, VU University & VU Medical Center, Amsterdam 1081 BT, The Netherlands, Institut des Sciences du Mouvement Etienne Jules Marey (ISM), Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), École des hautes études en sciences sociales (EHESS), Department of Radiology, Mayo Clinic, Robertson Centre for Biostatistics, University of Glasgow, Human Genetics Center, Department of Medical and Molecular Genetics, Rensselaer Polytechnic Institute (RPI), Department of Physics, Okayama University, Okayama University, University of New Haven [Connecticut], Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital [Boston]-Harvard Medical School [Boston] (HMS), Public Health Genomics Unit, Department of Mathematics, University of Colorado, University of Colorado [Boulder], Faculty of Medicine, University of Iceland [Reykjavik], Icelandic Heart Association, Kopavogur, Iceland., University of Science, VNU-HCM, University Medical Center Groningen [Groningen] (UMCG), Neuronal Plasticity / Mouse Behaviour, Interfaculty Institute for Genetics and Functional Genomics, Universität Greifswald - University of Greifswald, Department of Medical Genetics, HMNC Brain Health, University of Oxford [Oxford], University of Florida [Gainesville] (UF), Göteborgs Universitet (GU), Department of Medicine, Clinical Pharmacology Unit, Karolinska University Hospital [Stockholm], Brain Centre Rudolf Magnus [Utrecht], School of Psychology, University of Sussex, Brighton BN1 9QH, UK, University of Sussex, Institute of Cognitive Neuroscience, University College of London [London] (UCL), Medical University of Łódź (MUL), Mayo Clinic [Rochester], University of Maryland School of Medicine, University of Maryland System-University of Maryland System-University of Maryland [Baltimore County] (UMBC), University of Maryland System, School of Biomedical Sciences, Faculty of Biological Sciences, University of Leeds, Université de Cergy Pontoise (UCP), Université Paris-Seine, Lymphocyte Cell Biology Unit, Laboratory of Genetics, Psychiatry Institute, Unité de Nutrition Humaine (UNH), Institut National de la Recherche Agronomique (INRA)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Department of Health and Human Services, Department of Life Sciences, Mathematical Sciences Institute (MSI), Australian National University (ANU), Centre for Advanced Imaging, Institute of Gerontology and Geriatrics, Università degli Studi di Perugia (UNIPG), Division of Mental Health and Addiction, Oslo University Hospital [Oslo], Institute of Clinical Medicine [Oslo], Faculty of Medicine [Oslo], Medical Faculty [Mannheim], Charité - UniversitätsMedizin = Charité - University Hospital [Berlin], Genetic Epidemiology Unit, University of Mississippi Medical Center (UMMC), Translational Centre for Regenerative Medicine (TRM), Department of Cell Therapy, Universität Leipzig [Leipzig]-Universität Leipzig [Leipzig], Institute of Clinical Chemistry and Laboratory Medicine, Department of Statistics [Coventry], University of Warwick [Coventry], Delft University of Technology (TU Delft), Rheinische Friedrich-Wilhelms-Universität Bonn, Department of Health Science, Division of Health and Rehabilitation, Luleå University of Technology (LUT), Osaka University [Osaka], University Medical Center [Utrecht]-Brain Center Rudolf Magnus, University of Nottingham, UK (UON), McConnell Brain Imaging Centre (MNI), Departments of Physiology and Nutritional Sciences, University of Toronto, Toronto, Canada, Psychiatry and Human Behavior, University of California, Irvine, California 92617, USA, Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health [Mannheim], Medical Faculty [Mannheim]-Medical Faculty [Mannheim], Cedars-Sinai Medical Center, Politecnico di Milano [Milan] (POLIMI), University of Applied Sciences [Munich], Dpt of Pharmacology and Personalised Medicine [Maastricht], Maastricht University [Maastricht], Genetics of Mental Illness and Brain Function, Neuroscience Research Australia, Department of neurology, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland, Department of neurology, University of Eastern Finland-University Hospital of Kuopio-University of Eastern Finland-University Hospital of Kuopio, Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney 2052, Australia, National Institute of Aging, 3rd Department of Neurology, Aristotle University of Thessaloniki-General Hospital of Thessaloniki George Papanikolaou, Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut de Santé Publique, d'Epidémiologie et de Développement (ISPED), Université Bordeaux Segalen - Bordeaux 2, Genentech, Inc. [San Francisco], Psychiatry and Leiden Institute for Brain and Cognition, Epidémiologie et analyses en santé publique : risques, maladies chroniques et handicaps (LEASP), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM), Institute for Community Medicine, Berlin School of Mind and Brain [Berlin], Humboldt-Universität zu Berlin, Carver College of Medicine [Iowa City], University of Iowa [Iowa City]-University of Iowa [Iowa City], Centre for Population Health Sciences, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet [Stockholm], University of Pretoria [South Africa], University of Missouri [Columbia] (Mizzou), University of Missouri System, Department of Psychiatry and Psychotherapy, HELIOS Klinikum Stralsund Hanseatic-Greifswald University Hospital, Donders Center for Cognitive Neuroimaging, Donders Centre for Cognitive Neuroimaging, Radboud university [Nijmegen]-Radboud university [Nijmegen], University of Southern California (USC), University of California (UC)-University of California (UC), Sans affiliation, Radboud University [Nijmegen]-Radboud University Medical Center [Nijmegen]-Radboud University [Nijmegen]-Radboud University Medical Center [Nijmegen], University of Toronto, Radboud University [Nijmegen], Institut des Maladies Neurodégénératives [Bordeaux] (IMN), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Universität Bonn = University of Bonn, Department of Neurosciences [Univ California San Diego] (Neuro - UC San Diego), School of Medicine [Univ California San Diego] (UC San Diego), University of California (UC)-University of California (UC)-University of California [San Diego] (UC San Diego), Department of Cognitive Sciences [Univ California San Diego] (CogSci - UC San Diego), Yale School of Medicine [New Haven, Connecticut] (YSM), Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), King Faisal Specialist Hospital and Research Centre (KFSH & RC), Universiteit Leiden-Universiteit Leiden, University of Twente, University of California [Irvine] (UC Irvine), Universiteit Gent = Ghent University (UGENT), Centre épigénétique et destin cellulaire (EDC), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Harvard Medical School [Boston] (HMS)-Massachusetts General Hospital [Boston], University of Oxford, University of Maryland [Baltimore County] (UMBC), University of Maryland System-University of Maryland System-University of Maryland School of Medicine, Università degli Studi di Perugia = University of Perugia (UNIPG), University Hospital Mannheim | Universitätsmedizin Mannheim, Universität Leipzig-Universität Leipzig, University Hospital Mannheim | Universitätsmedizin Mannheim-University Hospital Mannheim | Universitätsmedizin Mannheim, University of Eastern Finland, Universiteit Leiden, Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National de la Santé et de la Recherche Médicale (INSERM), Humboldt University Of Berlin, Radboud University [Nijmegen]-Radboud University [Nijmegen], School of Medicine / Clinical Medicine, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Clinical Cognitive Neuropsychiatry Research Program (CCNP), Other departments, Adult Psychiatry, ARD - Amsterdam Reproduction and Development, Radboud university [Nijmegen]-Radboud University Medical Center [Nijmegen]-Radboud university [Nijmegen]-Radboud University Medical Center [Nijmegen], McGill University-McGill University, Sahlgrenska University Hospital, McGill University, Facteurs de Risque et Déterminants Moléculaires des Maladies liées au Vieillissement (Inserm U1167 - RID-AGE - Institut Pasteur), University of Bergen (UIB), Iowa State University (ISU)-U.S. Department of Energy (DOE), Beijing Normal University, Karakter Child and Adolescent Psychiatry University Center Nijmegen, Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC), Gènes, Synapses et Cognition, Ghent University [Belgium] (UGENT), National University of Ireland Maynooth (NUIM), Texas Biomedical Research Institute [San Antonio, Texas], Bijvoet Center of Biomolecular Research, Université Libre de Bruxelles [Bruxelles] (ULB)-Hôpital Erasme (Bruxelles), Okayama University [Okayama], University of Florida [Gainesville], Institut National de la Recherche Agronomique (INRA)-Université d'Auvergne - Clermont-Ferrand I (UdA)-Clermont Université, Charité - Universitätsmedizin Berlin / Charite - University Medicine Berlin, Aristotle University of Thessaloniki-G. Papanikolaou Hospital, Humboldt Universität zu Berlin, University of Missouri [Columbia], Epidemiology, Radiology & Nuclear Medicine, Medical Informatics, Internal Medicine, Neurology, Biological Psychology, APH - Mental Health, APH - Methodology, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Health Behaviors & Chronic Diseases, Cognitive Psychology, IBBA, APH - Personalized Medicine, Amsterdam Neuroscience - Brain Imaging, MUMC+: DA Klinische Genetica (5), Klinische Genetica, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, Anatomy and neurosciences, APH - Digital Health, Hal, GIN, Læknadeild (HÍ), Faculty of Medicine (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), Háskóli Íslands, University of Iceland, Universidad de Cantabria, Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Toulouse III - Paul Sabatier (UT3), and Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées
Subjects: Male, Netherlands Twin Register (NTR), Genome-wide association study, 600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit, Spatial memory, 0302 clinical medicine, 610 Medicine & health, Child, GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries), Episodic memory, Aged, 80 and over, Subiculum, 220 Statistical Imaging Neuroscience, COMMON VARIANTS, ALZHEIMERS-DISEASE, ddc:500, Alzheimer's disease, genetics [Methionine Sulfoxide Reductases], Science, Locus (genetics), genetics [Protein-Serine-Threonine Kinases], Article, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, Alzheimer Disease, ASTN2 protein, human, Humans, GENOME-WIDE ASSOCIATION, METAANALYSIS, Aged, Glycoproteins, Dentate gyrus, MEMORY, medicine.disease, R1, 030104 developmental biology, nervous system, Genetic Loci, MSRB3 protein, human, 030217 neurology & neurosurgery, 0301 basic medicine, General Physics and Astronomy, genetics [Alzheimer Disease], Hippocampal formation, Hippocampus, Genome-wide association studies, Taugasjúkdómar, Cohort Studies, DPP4 protein, human, TEMPORAL-LOBE EPILEPSY, BRAIN-REGIONS, genetics [Dipeptidyl Peptidase 4], genetics [Nerve Tissue Proteins], Genetics, Multidisciplinary, Neurodegenerative diseases, BIPOLAR DISORDER, Organ Size, Middle Aged, SUBFIELDS, Protein-Serine-Threonine Kinases, growth & development [Hippocampus], Female, genetics [Glycoproteins], Microtubule-Associated Proteins, Medical Genetics, Neuroinformatics, Adult, genetics [Microtubule-Associated Proteins], Adolescent, SUSCEPTIBILITY LOCI, Dipeptidyl Peptidase 4, genetics [Protein Serine-Threonine Kinases], Nerve Tissue Proteins, Bioinformatik och systembiologi, Protein Serine-Threonine Kinases, Biology, physiopathology [Alzheimer Disease], 150 000 MR Techniques in Brain Function, Young Adult, MAST4 protein, human, medicine, Journal Article, Erfðafræði, Genetic Predisposition to Disease, ddc:610, Medicinsk genetik, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], Bioinformatics and Systems Biology, [SCCO.NEUR]Cognitive science/Neuroscience, [SCCO.NEUR] Cognitive science/Neuroscience, Rannsóknir, General Chemistry, Methionine Sulfoxide Reductases, 150 Psychology, Genome-Wide Association Study
Abstract: The hippocampal formation is a brain structure integrally involved in episodic memory, spatial navigation, cognition and stress responsiveness. Structural abnormalities in hippocampal volume and shape are found in several common neuropsychiatric disorders. To identify the genetic underpinnings of hippocampal structure here we perform a genome-wide association study (GWAS) of 33,536 individuals and discover six independent loci significantly associated with hippocampal volume, four of them novel. Of the novel loci, three lie within genes (ASTN2, DPP4 and MAST4) and one is found 200 kb upstream of SHH. A hippocampal subfield analysis shows that a locus within the MSRB3 gene shows evidence of a localized effect along the dentate gyrus, subiculum, CA1 and fissure. Further, we show that genetic variants associated with decreased hippocampal volume are also associated with increased risk for Alzheimer's disease (rg=-0.155). Our findings suggest novel biological pathways through which human genetic variation influences hippocampal volume and risk for neuropsychiatric illness., published version, peerReviewed
Published: 2017
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170. Pattern of gene expression in different stages of schizophrenia: Down-regulation of NPTX2 gene revealed by a meta-analysis of microarray datasets

Author: James L. Kennedy, Bernardo Carpiniello, Ignazio S. Piras, Clement C. Zai, Matthew J. Huentelman, Federica Pinna, and Mirko Manchia
Subjects: 0301 basic medicine, Microarray, Induced Pluripotent Stem Cells, Brain Structure and Function, Down-Regulation, Nerve Tissue Proteins, Biology, Transcriptome, 03 medical and health sciences, 0302 clinical medicine, Gene expression, Genetic predisposition, medicine, Humans, Pharmacology (medical), Biological Psychiatry, Pharmacology, Genetics, Neurons, Gene Expression Profiling, Brain, medicine.disease, Microarray Analysis, Gene expression profiling, Psychiatry and Mental health, 030104 developmental biology, C-Reactive Protein, Neurology, Schizophrenia, Meta-analysis, Disease Progression, Neurology (clinical), 030217 neurology & neurosurgery, Biomarkers
Abstract: Schizophrenia (SCZ) is a severe psychiatric disorder with a genetic susceptibility. Alterations in neurochemical signaling, as well as changes in brain structure and function, manifest during the course of SCZ and are likely causative of the symptoms shown by affected individuals. However, little is known about the timing of these changes, particularly in the pre-morbid and prodromal phases of SCZ. Here, we performed a gene-based and pathway-based meta-analysis of 5 microarray datasets from human induced pluripotent stem cells (hiPSCs)-derived neurons and post-mortem brain tissue from SCZ and healthy controls (HC), with the underlying assumption they might represent the neurobiological make-up of SCZ in the pre-morbid and chronic stages of illness, respectively. Thus, we identified 1 microarray expression profiling dataset of hiPSCs-derived neurons (GSE25673) and performed a systematic search of microarray expression profiling datasets from SCZ post-mortem brain publicly available on the Gene Expression Omnibus (GEO) repository. We selected 4 different SCZ post-mortem brain microarray expression profiling datasets (GSE17612, GSE21935, GSE12649, and GSE21338) according to specific inclusion and exclusion criteria. We downloaded raw data and performed quality controls, differential expression analysis, and gene-based, as well as pathway-based meta-analysis. Neuronal pentraxin 2 (NPTX2) gene was consistently down-regulated across all datasets, with highly significant association in the meta-analysis (FDR
Published: 2017

171. Initial Assessment of the Pathogenic Mechanisms of the Recently Identified Alzheimer Risk Loci

Author: Mike A. Nalls, Mark R. Cookson, Eric M. Reiman, Andrew B. Singleton, Allissa Dillman, J. Raphael Gibbs, Amanda J. Myers, Patrick Holton, John Hardy, Rita Guerreiro, Richard Mayeux, Helen Crehan, Gerard D. Schellenberg, Anzhelika Engel, Lindsay A. Farrer, Manuel Ramirez-Restrepo, Matthew J. Huentelman, Michael E. Weale, Margaret A. Pericak-Vance, Dena G. Hernandez, Daniah Trabzuni, Mina Ryten, Jonathan L. Haines, and Jason J. Corneveaux
Subjects: Genetics, Apolipoprotein E, Genome-wide association study, Human brain, Disease, Biology, PICALM, ABCA7, medicine.anatomical_structure, Expression quantitative trait loci, medicine, biology.protein, Gene, Genetics (clinical)
Abstract: Recent genome wide association studies have identified CLU, CR1, ABCA7 BIN1, PICALM and MS4A6A/MS4A6E in addition to the long established APOE, as loci for Alzheimer's disease. We have systematically examined each of these loci to assess whether common coding variability contributes to the risk of disease. We have also assessed the regional expression of all the genes in the brain and whether there is evidence of an eQTL explaining the risk. In agreement with other studies we find that coding variability may explain the ABCA7 association, but common coding variability does not explain any of the other loci. We were not able to show that any of the loci had eQTLs within the power of this study. Furthermore the regional expression of each of the loci did not match the pattern of brain regional distribution in Alzheimer pathology. Although these results are mainly negative, they allow us to start defining more realistic alternative approaches to determine the role of all the genetic loci involved in Alzheimer's disease. © 2013 Blackwell Publishing Ltd/University College London.
Published: 2013
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172. Compound heterozygous mutations in

Author: Elina, Kari, Isabelle, Schrauwen, Lorida, Llaci, Laurel M, Fisher, John L, Go, Marcus, Naymik, James A, Knowles, Matthew J, Huentelman, and Rick A, Friedman
Subjects: Clinical/Scientific Notes
Published: 2016

173. Mechanisms of CO2/H+ Sensitivity of Astrocytes

Author: Egor, Turovsky, Shefeeq M, Theparambil, Vitaliy, Kasymov, Joachim W, Deitmer, Ana Gutierrez, Del Arroyo, Gareth L, Ackland, Jason J, Corneveaux, April N, Allen, Matthew J, Huentelman, Sergey, Kasparov, Nephtali, Marina, and Alexander V, Gourine
Subjects: Respiration, Sodium-Bicarbonate Symporters, Sodium, Carbon Dioxide, Hydrogen-Ion Concentration, In Vitro Techniques, Exocytosis, Sodium-Calcium Exchanger, Rats, Bicarbonates, Adenosine Triphosphate, Astrocytes, Animals, Calcium Signaling, Neuroglia, Research Articles, Hydrogen, Signal Transduction
Abstract: Ventral regions of the medulla oblongata of the brainstem are populated by astrocytes sensitive to physiological changes in PCO2/[H+]. These astrocytes respond to decreases in pH with elevations in intracellular Ca2+ and facilitated exocytosis of ATP-containing vesicles. Released ATP propagates Ca2+ excitation among neighboring astrocytes and activates neurons of the brainstem respiratory network triggering adaptive increases in breathing. The mechanisms linking increases in extracellular and/or intracellular PCO2/[H+] with Ca2+ responses in chemosensitive astrocytes remain unknown. Fluorescent imaging of changes in [Na+]i and/or [Ca2+]i in individual astrocytes was performed in organotypic brainstem slice cultures and acute brainstem slices of adult rats. It was found that astroglial [Ca2+]i responses triggered by decreases in pH are preceded by Na+ entry, markedly reduced by inhibition of Na+/HCO3− cotransport (NBC) or Na+/Ca2+ exchange (NCX), and abolished in Na+-free medium or by combined NBC/NCX blockade. Acidification-induced [Ca2+]i responses were also dramatically reduced in brainstem astrocytes of mice deficient in the electrogenic Na+/HCO3− cotransporter NBCe1. Sensitivity of astrocytes to changes in pH was not affected by inhibition of Na+/H+ exchange or blockade of phospholipase C. These results suggest that in pH-sensitive astrocytes, acidification activates NBCe1, which brings Na+ inside the cell. Raising [Na+]i activates NCX to operate in a reverse mode, leading to Ca2+ entry followed by activation of downstream signaling pathways. Coupled NBC and NCX activities are, therefore, suggested to be responsible for functional CO2/H+ sensitivity of astrocytes that contribute to homeostatic regulation of brain parenchymal pH and control of breathing.
Published: 2016

174. Florbetapir PET analysis of amyloid-β deposition in the presenilin 1 E280A autosomal dominant Alzheimer's disease kindred: a cross-sectional study

Author: Jessica B. Langbaum, Yakeel T. Quiroz, Eric M. Reiman, Kenneth S. Kosik, Napatkamon Ayutyanont, Liliana Lopez, Pierre N. Tariot, Gloria María Gallego García, Laura Jakimovich, Madelyn Gutierrez Gomez, Kewei Chen, Sonia Moreno, Wendy Lee, Matthew J. Huentelman, Francisco Lopera, Natalia Acosta-Baena, Margarita Giraldo, Carolyn M. Langois, Adam S. Fleisher, Hua Mo, Auttawut Roontiva, Rebecca Reiman, and Pradeep Thiyyagura
Subjects: Male, Pathology, medicine.medical_specialty, Grey matter, Asymptomatic, Article, Presenilin, Alzheimer Disease, Internal medicine, Presenilin-1, medicine, PSEN1, Humans, Dementia, Young adult, Amyloid beta-Peptides, Aniline Compounds, business.industry, medicine.disease, medicine.anatomical_structure, Positron-Emission Tomography, Ethylene Glycols, Female, Neurology (clinical), Alzheimer's disease, medicine.symptom, business, Asymptomatic carrier
Abstract: Summary Background Fibrillar amyloid-β (Aβ) is thought to begin accumulating in the brain many years before the onset of clinical impairment in patients with Alzheimer's disease. By assessing the accumulation of Aβ in people at risk of genetic forms of Alzheimer's disease, we can identify how early preclinical changes start in individuals certain to develop dementia later in life. We sought to characterise the age-related accumulation of Aβ deposition in presenilin 1 (PSEN1) E280A mutation carriers across the spectrum of preclinical disease. Methods Between Aug 1 and Dec 6, 2011, members of the familial Alzheimer's disease Colombian kindred aged 18–60 years were recruited from the Alzheimer's Prevention Initiative's registry at the University of Antioquia, Medellin, Colombia. Cross-sectional assessment using florbetapir PET was done in symptomatic mutation carriers with mild cognitive impairment or mild dementia, asymptomatic carriers, and asymptomatic non-carriers. These assessments were done at the Banner Alzheimer's Institute in Phoenix, AZ, USA. A cortical grey matter mask consisting of six predefined regions.was used to measure mean cortical florbetapir PET binding. Cortical-to-pontine standard-uptake value ratios were used to characterise the cross-sectional accumulation of fibrillar Aβ deposition in carriers and non-carriers with regression analysis and to estimate the trajectories of fibrillar Aβ deposition. Findings We enrolled a cohort of 11 symptomatic individuals, 19 presymptomatic mutation carriers, and 20 asymptomatic non-carriers, ranging in age from 20 to 56 years. There was greater florbetapir binding in asymptomatic PSEN1 E280A mutation carriers than in age matched non-carriers. Fibrillar Aβ began to accumulate in PSEN 1E280A mutation carriers at a mean age of 28·2 years (95% CI 27·3–33·4), about 16 years and 21 years before the predicted median ages at mild cognitive impairment and dementia onset, respectively. 18 F florbetapir binding rose steeply over the next 9·4 years and plateaued at a mean age of 37·6 years (95% CI 35·3–40·2), about 6 and 11 years before the expected respective median ages at mild cognitive impairment and dementia onset. Prominent florbetapir binding was seen in the anterior and posterior cingulate, precuneus, and parietotemporal and frontal grey matter, as well as in the basal ganglia. Binding in the basal ganglia was not seen earlier or more prominently than in other regions. Interpretation These findings contribute to the understanding of preclinical familial Alzheimer's disease and help set the stage for assessment of amyloid-modifying treatments in the prevention of familial Alzheimer's disease. Funding Avid Radiopharmaceuticals, Banner Alzheimer's Foundation, Nomis Foundation, Anonymous Foundation, Forget Me Not Initiative, Colciencias, National Institute on Aging, and the State of Arizona.
Published: 2012
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175. Somitogenesis in the anole lizard and alligator reveals evolutionary convergence and divergence in the amniote segmentation clock

Author: April N. Allen, Jeanne Wilson-Rawls, Glenn J. Markov, Ruth M. Elsey, Jason J. Corneveaux, Jonathan B. Losos, Walter L. Eckalbar, Matthew J. Huentelman, Alan Rawls, Carlos Infante, Kenro Kusumi, Dale F. DeNardo, and Eris Lasku
Subjects: Male, Embryo, Nonmammalian, Molecular Sequence Data, Alligator, CLOCK Proteins, Anolis, Evolution, Molecular, Mesoderm, LFNG, biology.animal, Somitogenesis, Basic Helix-Loop-Helix Transcription Factors, Animals, Amino Acid Sequence, American alligator, Molecular Biology, In Situ Hybridization, Phylogeny, Alligators and Crocodiles, biology, Intracellular Signaling Peptides and Proteins, Gene Expression Regulation, Developmental, Genetic Variation, Vertebrate, Lizards, Cell Biology, Anatomy, biology.organism_classification, Somites, Anamniotes, Evolutionary biology, Female, Amniote, Transcriptome, Developmental Biology
Abstract: The axial skeleton is a defining feature of vertebrates and is patterned during somitogenesis. Cyclically expressed members of the notch and other signaling pathways, described as the ‘segmentation clock’, regulate the formation of somite boundaries. Comparisons among vertebrate model systems have revealed fundamental shifts in the regulation of expression among critical genes in the notch pathway. However, insights into the evolution of these expression differences have been limited by the lack of information from non-avian reptiles. We analyzed the segmentation clock of the first Lepidosaurian reptile sequenced, the green anole lizard, Anolis carolinensis, for comparison with avian and mammalian models. Using genomic sequence, RNA-Seq transcriptomic data, and in situ hybridization analysis of somite-stage embryos, we carried out comparative analyses of key genes and found that the anole segmentation clock displays features common to both amniote and anamniote vertebrates. Shared features with anamniotes, represented by Xenopus laevis and Danio rerio, include an absence of lunatic fringe (lfng) expression within the presomitic mesoderm (PSM), a hes6a gradient in the PSM not observed in the chicken or mouse, and EGF repeat structure of the divergent notch ligand, dll3. The anole and mouse share cycling expression of dll1 ligand in the PSM. To gain insight from an Archosaurian reptile, we analysed LFNG and DLL1 expressions in the American alligator. LFNG expression was absent in the alligator PSM, like the anole but unlike the chicken. In contrast, DLL1 expression does not cycle in the PSM of the alligator, similar to the chicken but unlike the anole. Thus, our analysis yields novel insights into features of the segmentation clock that are evolutionarily basal to amniotes versus those that are specific to mammals, Lepidosaurian reptiles, or Archosaurian reptiles.
Published: 2012
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176. Are Sema5a mutant mice a good model of autism? A behavioral analysis of sensory systems, emotionality and cognition

Author: Matthew J. Huentelman, Richard E. Brown, and Rhian K. Gunn
Subjects: Male, Morris water navigation task, Dark Adaptation, Mice, Transgenic, Nerve Tissue Proteins, Behavioral Symptoms, Semaphorins, Motor Activity, Article, Rotarod performance test, Open field, Mice, Behavioral Neuroscience, Discrimination, Psychological, Sex Factors, Neurodevelopmental disorder, Emotionality, Conditioning, Psychological, medicine, Animals, Autistic Disorder, Maze Learning, Social Behavior, Prepulse inhibition, Sensory gating, Membrane Proteins, Fear, Sensory Gating, medicine.disease, Mice, Inbred C57BL, Disease Models, Animal, Inhibition, Psychological, medicine.anatomical_structure, Rotarod Performance Test, Mutation, Sensation Disorders, Exploratory Behavior, Visual Perception, Autism, Female, Cognition Disorders, Psychology, Neuroscience
Abstract: Semaphorin 5A (Sema5A) expression is reduced in the brain of individuals with autism, thus mice with reduced Sema5A levels may serve as a model of this neurodevelopmental disorder. We tested male and female Sema5a knockout mice (B6.129P2SEMA5A()™(1DGEN)/J) and C57BL/6J controls for emotionality, visual ability, prepulse inhibition, motor learning and cognition. Overall, there were only two genotype differences in emotionality: Sema5a mutant mice had more stretch-attend postures in the elevated plus-maze and more defecations in the open field. All mice could see, but Sema5a mice had better visual ability than C57BL/6J mice. There were no genotype differences in sensory-motor gating. Sema5a mice showed higher levels of activity in the elevated plus-maze and light/dark transition box, and there were sex by genotype differences in the Rotarod, suggesting a sex difference in balance and coordination differentially affected by Sema5a. There were no genotype effects on cognition: Sema5a mice did not differ from C57BL/6J in the Morris water maze, set-shifting or cued and contextual fear conditioning. In the social recognition test, all mice preferred social stimuli, but there was no preference for social novelty, thus the Sema5A mice do not have a deficit in social behavior. Overall, there were a number of sex differences, with females showing greater activity and males performing better in tests of spatial learning and memory, but no deficits in the behavior of Sema5A mice. We conclude that the Sema5a mice do not meet the behavioral criteria for a mouse model of autism.
Published: 2011
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177. Common variants in MS4A4/MS4A6E, CD2uAP, CD33, and EPHA1 are associated with late-onset Alzheimer’s disease

Author: Bradley T. Hyman, Tatiana Foroud, James J. Lah, Roger N. Rosenberg, Philip L. De Jager, John M. Ringman, Thomas D. Bird, Ramon Diaz-Arrastia, Wayne W. Poon, Barry Reisberg, Juan C. Troncoso, Peter St George-Hyslop, Deborah Blacker, Ronald C. Kim, Adam L. Boxer, Gerard D. Schellenberg, Douglas Galasko, John Hardy, Erik D. Roberson, Minerva M. Carrasquillo, Richard Mayeux, Steven L. Carroll, Elaine R. Peskind, Walter A. Kukull, Marla Gearing, Lee-Way Jin, Paul K. Crane, James D. Bowen, Deborah C. Mash, Carol A. Miller, Eileen H. Bigio, Duane Beekly, Kenneth B. Fallon, Bruce L. Miller, Eliezer Masliah, Charles DeCarli, Gyungah Jun, Mary Ganguli, M. Ilyas Kamboh, Steven E. Arnold, Patricia L. Kramer, Gregory A. Jicha, David G. Clark, Lon S. Schneider, William G. Ellis, Anna Karydas, Alison Goate, Michael A. Slifer, Matthew P. Frosch, Steven G. Younkin, Steven T. DeKosky, F. Yesim Demirci, John Q. Trojanowski, Jeffrey Kaye, Sandra Weintraub, Jonathan D. Glass, Lindy E. Harrell, Adam C. Naj, Frank Martiniuk, Harry V. Vinters, Gail P. Jarvik, Ronald L. Hamilton, Ruchita Rajbhandary, Wayne C. McCormick, Neill R. Graff-Radford, Allan I. Levey, Jennifer Williamson, Daniel C. Marson, Andrew McDavid, John R. Gilbert, Thomas H. Beach, Christine M. Hulette, David A. Bennett, William P. Seeley, Christopher S. Carlson, Amanda J. Myers, Hakon Hakonarson, Debby W. Tsuang, Kathryn L. Lunetta, James R. Burke, Sid Gilman, John C. Morris, Bradley F. Boeve, Oscar L. Lopez, Nilufer Ertekin-Taner, Thomas J. Montine, Daniel P. Perl, Eric M. Reiman, Joseph F. Quinn, Susan M. McCurry, Paul Gallins, Murray A. Raskind, Badri N. Vardarajan, Joshua A. Sonnen, Robert S. Stern, Denis A. Evans, Lawrence S. Honig, Ekaterina Rogaeva, John H. Growdon, Michael L. Shelanski, Vivianna M. Van Deerlin, Joseph E. Parisi, Mary Sano, Dennis W. Dickson, Steven H. Ferris, Randall L. Woltjer, Li-San Wang, Jonathan L. Haines, Bruno Giordani, Martin R. Farlow, Jason J. Corneveaux, Gary W. Beecham, Clinton T. Baldwin, Ann C. McKee, Jean Paul Vonsattel, Julie A. Schneider, Malcolm B. Dick, Kelley Faber, John S. K. Kauwe, Neil W. Kowall, Wendy J. Mack, W Marsel Mesulam, Nigel J. Cairns, Nancy Johnson, Jacqueline L. Buros, Eric B. Larson, Ronald C. Petersen, Laura B. Cantwell, Margaret A. Pericak-Vance, Elizabeth Head, Petra Nowotny, Joseph D. Buxbaum, Andrew J. Saykin, Robert C. Green, Lindsay A. Farrer, Carlos Cruchaga, Joshua W. Miller, Matthew J. Huentelman, Rudolph E. Tanzi, Beth A. Dombroski, Andrew P. Lieberman, Daniel H. Geschwind, Robert W Barber, Jeffrey L. Cummings, Charles D. Smith, Bernardino Ghetti, Salvatore Spina, Regina M. Carney, Kathleen A. Welsh-Bohmer, Jason Karlawish, Edward H. Koo, Eden R. Martin, M. Michael Barmada, Carl W. Cotman, and Helena C. Chui
Subjects: Male, Sialic Acid Binding Ig-like Lectin 3, Antigens, Differentiation, Myelomonocytic, Late onset, Joint analysis, Biology, Polymorphism, Single Nucleotide, Article, Cohort Studies, 03 medical and health sciences, Disease susceptibility, 0302 clinical medicine, Alzheimer Disease, Antigens, CD, Databases, Genetic, Genetics, Humans, Genetic Predisposition to Disease, Age of Onset, 030304 developmental biology, Adaptor Proteins, Signal Transducing, Aged, Aged, 80 and over, 0303 health sciences, Receptor, EphA1, Genetic Variation, Membrane Proteins, Molecular biology, 3. Good health, Cytoskeletal Proteins, Multigene Family, Female, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: The Alzheimer Disease Genetics Consortium (ADGC) performed a genome-wide association study of late-onset Alzheimer disease using a three-stage design consisting of a discovery stage (stage 1) and two replication stages (stages 2 and 3). Both joint analysis and meta-analysis approaches were used. We obtained genome-wide significant results at MS4A4A (rs4938933; stages 1 and 2, meta-analysis P (P(M)) = 1.7 × 10(-9), joint analysis P (P(J)) = 1.7 × 10(-9); stages 1, 2 and 3, P(M) = 8.2 × 10(-12)), CD2AP (rs9349407; stages 1, 2 and 3, P(M) = 8.6 × 10(-9)), EPHA1 (rs11767557; stages 1, 2 and 3, P(M) = 6.0 × 10(-10)) and CD33 (rs3865444; stages 1, 2 and 3, P(M) = 1.6 × 10(-9)). We also replicated previous associations at CR1 (rs6701713; P(M) = 4.6 × 10(-10), P(J) = 5.2 × 10(-11)), CLU (rs1532278; P(M) = 8.3 × 10(-8), P(J) = 1.9 × 10(-8)), BIN1 (rs7561528; P(M) = 4.0 × 10(-14), P(J) = 5.2 × 10(-14)) and PICALM (rs561655; P(M) = 7.0 × 10(-11), P(J) = 1.0 × 10(-10)), but not at EXOC3L2, to late-onset Alzheimer's disease susceptibility.
Published: 2011

178. Tonic Premarin dose-dependently enhances memory, affects neurotrophin protein levels and alters gene expression in middle-aged rats

Author: Sean Nonnenmacher, Winnie S. Liang, Jason J. Corneveaux, Elizabeth B. Engler-Chiurazzi, Matthew J. Huentelman, Laszlo Prokai, Heather A. Bimonte-Nelson, and Candy W. S. Tsang
Subjects: Aging, medicine.medical_specialty, medicine.drug_class, Ovariectomy, Gene Expression, Estrone, Hippocampal formation, Hippocampus, Article, chemistry.chemical_compound, Memory, Internal medicine, Nerve Growth Factor, medicine, Animals, Maze Learning, Cerebral Cortex, Vaginal Smears, Brain-derived neurotrophic factor, Estrogens, Conjugated (USP), Dose-Response Relationship, Drug, Working memory, Brain-Derived Neurotrophic Factor, General Neuroscience, Estrogens, Rats, Inbred F344, Rats, Endocrinology, Nerve growth factor, chemistry, Estrogen, Space Perception, Ovariectomized rat, Female, Neurology (clinical), Geriatrics and Gerontology, Psychology, Developmental Biology, Hormone
Abstract: Premarin™ is the most commonly prescribed estrogenic component of hormone therapy, given since 1942. The current study is the first examining cognitive effects of tonic Premarin treatment in an animal model. Middle-aged ovariectomized (Ovx) rats received vehicle or one of three doses of Premarin (12, 24 or 36 μg daily). Rats were tested on a spatial working and reference memory maze battery. Both medium- and high-dose Premarin enhanced memory retention, while low-dose Premarin impaired learning and memory retention. Correlations with serum hormone levels showed that as the ratio of estrone:17β-estradiol increased, animals tended to show better working memory performance. Taken together with the dissociation of dose-specific estrogenic profiles, results suggest that higher levels of estrone, in the presence of 17β-estradiol concentrations higher than that of Ovx levels, may be beneficial for memory. Moreover, Premarin exerted dose and brain-region specific effects on BDNF and NGF protein levels, with most marked changes in cingulate and perirhinal cortices. Hippocampal gene expression profiling demonstrated significant Premarin-induced transcriptional changes in genes linked to plasticity and cognition. These findings indicate that Premarin can impact memory and the brain, and that dosing should be recognized as a clinically relevant factor possibly affecting the direction and efficacy of cognitive outcome.
Published: 2011
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179. CR1is associated with amyloid plaque burden and age-related cognitive decline

Author: Robert S. Wilson, Aron S. Buchman, Sue Leurgans, Lori B. Chibnik, Julie A. Schneider, Joshua M. Shulman, Jason J. Corneveaux, Eric M. Reiman, Christopher B. Heward, Matthew J. Huentelman, John Hardy, Philip L. De Jager, Cristin Aubin, David A. Bennett, Dong Tran, Denis A. Evans, and Amanda J. Myers
Subjects: Male, Oncology, medicine.medical_specialty, Genotype, Population, Plaque, Amyloid, Neuropathology, Polymorphism, Single Nucleotide, Article, PICALM, Alzheimer Disease, Internal medicine, medicine, Humans, Genetic Predisposition to Disease, Longitudinal Studies, Cognitive decline, education, Alleles, Genetic Association Studies, Aged, Aged, 80 and over, Analysis of Variance, education.field_of_study, Cognitive disorder, Age Factors, Neuropsychology, Brain, Cognition, Middle Aged, medicine.disease, Neurology, Receptors, Complement 3b, Female, Neurology (clinical), Alzheimer's disease, Cognition Disorders, Psychology, Neuroscience
Abstract: Objective: Recently, genome-wide association studies have identified 3 new susceptibility loci for Alzheimer’s disease (AD), CLU, CR1, and PICALM. We leveraged available neuropsychological and autopsy data from 2 cohort studies to investigate whether these loci are associated with cognitive decline and AD neuropathology. Methods: The Religious Orders Study (ROS) and Rush Memory and Aging Project (MAP) are longitudinal studies that enroll nondemented subjects and include annual clinical evaluations and brain donation at death. We evaluated CR1 (rs6656401), CLU (rs11136000), and PICALM (rs7110631) in 1,666 subjects. We evaluated associations between genotypes and rate of change in cognitive function as well as AD-related pathology. Lastly, we used pathway analysis to determine whether relationships between single nucleotide polymorphisms and cognitive decline are mediated through AD pathology. Results: Among our study cohort, the mean years of follow-up were 7.8 for ROS and 4.3 for MAP. Only the CR1 locus was associated with both global cognitive decline (p ¼ 0.011) and global AD pathology (p ¼ 0.025). More specifically, the locus affects the deposition of neuritic amyloid plaque (p ¼ 0.009). In a mediation analysis, controlling for amyloid pathology strongly attenuated the effect of the CR1 locus on cognitive decline. Interpretation: We found that common variation at the CR1 locus has a broad impact on cognition and that this effect is largely mediated by an individual’s amyloid plaque burden. We therefore highlight 1 functional consequence of the CR1 susceptibility allele and generalize the role of this locus to cognitive aging in the general population. ANN NEUROL 2011;000:000–000
Published: 2011
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180. Harnessing Genetic Complexity to Enhance Translatability of Alzheimer’s Disease Mouse Models: A Path toward Precision Medicine

Author: Sarah M. Neuner, Sarah E. Heuer, Matthew J. Huentelman, Catherine C. Kaczorowski, and Kristen M.S. O'Connell
Subjects: Male, 0301 basic medicine, Genotype, Population, Computational biology, Disease, Biology, Genome, Translational Research, Biomedical, Transcriptome, Mice, 03 medical and health sciences, 0302 clinical medicine, Species Specificity, Alzheimer Disease, Genetic variation, Animals, Precision Medicine, education, education.field_of_study, Genetic diversity, General Neuroscience, Precision medicine, Phenotype, Mice, Inbred C57BL, Disease Models, Animal, 030104 developmental biology, Female, 030217 neurology & neurosurgery
Abstract: An individual's genetic makeup plays a large role in determining susceptibility to Alzheimer's disease (AD) but has largely been ignored in preclinical studies. To test the hypothesis that incorporating genetic diversity into mouse models of AD would improve translational potential, we combined a well-established mouse model of AD with a genetically diverse reference panel to generate mice that harbor identical high-risk human mutations but differ across the remainder of their genome. We first show that genetic variation profoundly modifies the impact of human AD mutations on both cognitive and pathological phenotypes. We then validate this complex AD model by demonstrating high degrees of genetic, transcriptomic, and phenotypic overlap with human AD. Overall, work here both introduces a novel AD mouse population as an innovative and reproducible resource for the study of mechanisms underlying AD and provides evidence that preclinical models incorporating genetic diversity may better translate to human disease.
Published: 2019
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181. Decreased serum arylesterase activity in autism spectrum disorders

Author: Paolo Curatolo, Margot Redman, Matthew J. Huentelman, Tracy L. Pawlowski, Sharman Ober-Reynolds, Roberto Sacco, Barbara Manzi, Federica Lombardi, Judith Marsillach, Raun Melmed, Antonio M. Persico, Sarah Brautigam, Christopher J. Smith, Jordi Camps, David Craig, Laura Gaita, Carla Lintas, and Laura Altieri
Subjects: Pervasive developmental disorders, Enzymologic, Male, Autistic disorder, Diazoxonase, Immune, Organophosphate, Paraoxonase, Adolescent, Adult, Aryldialkylphosphatase, Carboxylic Ester Hydrolases, Child, Child Development Disorders, Pervasive, Child, Preschool, Enzyme-Linked Immunosorbent Assay, European Continental Ancestry Group, Family, Female, Gene Expression Regulation, Enzymologic, Genetic Testing, Genotype, Humans, Italy, Middle Aged, Polymorphism, Single Nucleotide, Statistics, Nonparametric, Young Adult, Psychiatry and Mental Health, Biological Psychiatry, Arylesterase, Child Development Disorders, Pervasive, Preschool, Gene Expression Regulation, Polymorphism, Single Nucleotide, Statistics, Nonparametric, Genetics, biology, PON1, Settore MED/39 - Neuropsichiatria Infantile, Psychiatry and Mental health, medicine.medical_specialty, Single-nucleotide polymorphism, White People, Internal medicine, medicine, First-degree relatives, business.industry, medicine.disease, Developmental disorder, Endocrinology, biology.protein, Autism, business
Abstract: The PON1 gene, previously found associated with autism spectrum disorders (ASDs), encodes a serum protein responsible for the detoxification of organophosphates (OPs) and able to exert several enzymatic activities. PON1 arylesterase, but not diazoxonase activity, was significantly decreased in 174 ASD patients compared to 175 first-degree relatives and 144 controls ( P =2.65×10 − 16 ). First degree relatives displayed intermediate activities, closer to patient than to control levels. Differences between patients, first-degree relatives and controls were especially evident among 164 Italians compared to 329 Caucasian-Americans, because arylesterase activity was significantly higher in Italian controls, compared to Caucasian-American controls ( P =2.84×10 − 16 ). Arylesterase activity and PON protein concentrations were not significantly correlated, supporting a functional inhibition of arylesterase activity in ASD patients over quantitative changes in protein amounts. Serum arylesterase activity, in combination with PON1 genotypes at two single nucleotide polymorphisms (SNPs) known to influence protein amounts (rs705379: C-108T) and substrate specificity (rs662: Q192R), was able to discriminate ASD patients from controls with elevated sensitivity and specificity, depending on genotype and ethnic group. Serum arylesterase activity and genotyping at these two SNPs could thus represent an informative biochemical/genetic test, able to aid clinicians in estimating autism risk in ethnic groups with higher baseline arylesterase activity levels.
Published: 2010
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182. Genome-wide association study of CSF biomarkers A 1-42, t-tau, and p-tau181p in the ADNI cohort

Author: John Q. Trojanowski, L. M. Shaw, Shannon L. Risacher, Sungeun Kim, Matthew J. Huentelman, Ronald C. Petersen, Michael W. Weiner, Li Shen, David Craig, Kwangsik Nho, Andrew J. Saykin, Tatiana Foroud, Bryan M. DeChairo, Shanker Swaminathan, Steven G. Potkin, and Paul S. Aisen
Subjects: Diagnostic Imaging, Male, Threonine, Apolipoprotein E, Oncology, medicine.medical_specialty, Linkage disequilibrium, Candidate gene, Genotype, tau Proteins, Single-nucleotide polymorphism, Genome-wide association study, Biology, Polymorphism, Single Nucleotide, Linkage Disequilibrium, Cohort Studies, Apolipoproteins E, Alzheimer Disease, Antigens, Neoplasm, Internal medicine, Mitochondrial Precursor Protein Import Complex Proteins, Genetic model, medicine, Humans, Phosphorylation, Aged, Aged, 80 and over, Amyloid beta-Peptides, Membrane Transport Proteins, Articles, medicine.disease, Peptide Fragments, Immunology, Female, Neurology (clinical), Alzheimer's disease, Cognition Disorders, Genome-Wide Association Study
Abstract: Objectives: CSF levels of Aβ 1-42 , t-tau, and p-tau 181p are potential early diagnostic markers for probable Alzheimer disease (AD). The influence of genetic variation on these markers has been investigated for candidate genes but not on a genome-wide basis. We report a genome-wide association study (GWAS) of CSF biomarkers (Aβ 1-42 , t-tau, p-tau 181p , p-tau 181p /Aβ 1-42 , and t-tau/Aβ 1-42 ). Methods: A total of 374 non-Hispanic Caucasian participants in the Alzheimer9s Disease Neuroimaging Initiative cohort with quality-controlled CSF and genotype data were included in this analysis. The main effect of single nucleotide polymorphisms (SNPs) under an additive genetic model was assessed on each of 5 CSF biomarkers. The p values of all SNPs for each CSF biomarker were adjusted for multiple comparisons by the Bonferroni method. We focused on SNPs with corrected p p −8 ) and secondarily examined SNPs with uncorrected p values less than 10 −5 to identify potential candidates. Results: Four SNPs in the regions of the APOE , LOC100129500, TOMM40 , and EPC2 genes reached genome-wide significance for associations with one or more CSF biomarkers. SNPs in CCDC134 , ABCG2 , SREBF2 , and NFATC4 , although not reaching genome-wide significance, were identified as potential candidates. Conclusions: In addition to known candidate genes, APOE , TOMM40 , and one hypothetical gene LOC100129500 partially overlapping APOE ; one novel gene, EPC2 , and several other interesting genes were associated with CSF biomarkers that are related to AD. These findings, especially the new EPC2 results, require replication in independent cohorts.
Published: 2010
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183. Genetic Control of Human Brain Transcript Expression in Alzheimer Disease

Author: John Hardy, Jennifer Webster, Priti Nath, Jennifer Clarke, Christopher B. Heward, Peter Holmans, Alice Zhao, Mona Kaleem, Weixiong Zhang, Donald S. McCorquodale, Amanda J. Myers, Leslie Bryden, Eric M. Reiman, Diane Hu-Lince, Cindy Cuello, J. Raphael Gibbs, Victoria Zismann, Doris G. Leung, Keith D. Coon, Monika Ray, Kristen Rohrer, Dietrich A. Stephan, Lauren Marlowe, Matthew J. Huentelman, John V. Pearson, David Craig, and Keta Joshipura
Subjects: Male, Transcription, Genetic, Quantitative Trait Loci, Genome-wide association study, Single-nucleotide polymorphism, Quantitative trait locus, Biology, Bioinformatics, Polymorphism, Single Nucleotide, Article, Transcriptome, 03 medical and health sciences, 0302 clinical medicine, Alzheimer Disease, Genotype, medicine, Genetics, Humans, Gene Regulatory Networks, Genetics(clinical), Age of Onset, Genetics (clinical), 030304 developmental biology, Aged, Oligonucleotide Array Sequence Analysis, 0303 health sciences, Gene Expression Profiling, Brain, Human brain, medicine.disease, Gene expression profiling, medicine.anatomical_structure, Case-Control Studies, Female, Alzheimer's disease, Transcription Initiation Site, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: We recently surveyed the relationship between the human brain transcriptome and genome in a series of neuropathologically normal postmortem samples. We have now analyzed additional samples with a confirmed pathologic diagnosis of late-onset Alzheimer disease (LOAD; final n = 188 controls, 176 cases). Nine percent of the cortical transcripts that we analyzed had expression profiles correlated with their genotypes in the combined cohort, and approximately 5% of transcripts had SNP-transcript relationships that could distinguish LOAD samples. Two of these transcripts have been previously implicated in LOAD candidate-gene SNP-expression screens. This study shows how the relationship between common inherited genetic variants and brain transcript expression can be used in the study of human brain disorders. We suggest that studying the transcriptome as a quantitative endo-phenotype has greater power for discovering risk SNPs influencing expression than the use of discrete diagnostic categories such as presence or absence of disease.
Published: 2009
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184. Hippocampal gene expression changes during age-related cognitive decline

Author: Jon P. Walker, Amy W. Wright, Robert A. Colvin, Traci Pawlowski, Linda L. Bellush, and Matthew J. Huentelman
Subjects: Male, Aging, Age-related cognitive decline, Microarray, Gene Expression, Male mice, Hippocampus, Morris water navigation task, Physiology, Hippocampal formation, Bioinformatics, Mice, Gene expression, Animals, Effects of sleep deprivation on cognitive performance, Maze Learning, Molecular Biology, Oligonucleotide Array Sequence Analysis, Analysis of Variance, Behavior, Animal, Reverse Transcriptase Polymerase Chain Reaction, Gene Expression Profiling, General Neuroscience, Mice, Inbred C57BL, Neurology (clinical), Cognition Disorders, Psychology, Software, Developmental Biology
Abstract: As humans age, cognitive performance decreases differentially across individuals. This age-related decline in otherwise healthy individuals is likely due to the interaction of multiple factors including genetics and environment. We hypothesized that altered spatial memory performance in genetically similar mice could be in part due to differential gene expression patterns in the hippocampus. To investigate this we utilized Morris water maze (MWM) testing in a group of young (3 months) and aged (24 months) C57BL/J male mice. Two sub-groups were identified in the aged animals; one in which MWM performance was not significantly different when compared to the young animals (aged-unimpaired; "AU") and one in which performance was significantly different by 1.5 standard deviations from the mean (aged-impaired; "AI"). One week after testing was completed the entire hippocampus was collected from six each of AU, AI and young mice and their gene expression profiles were compared using Affymetrix microarrays. Benjamini and Hochberg FDR correction at p0.05 identified 18 genes differentially expressed between the AI and AU mice. The correlation between behavioral deficits and gene expression patterning allows a better understanding of how altered gene expression in the hippocampus contributes to accelerated age-related cognitive decline and delineates between gene expression changes associated with normal aging vs. memory performance.
Published: 2009
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185. GRM7 variants confer susceptibility to age-related hearing impairment

Author: Dietrich A. Stephan, Ashley Q. Thorburn, Markus Pfister, Agnete Parving, Jose N. Fayad, Sonal S. Sheth, Rebecca F. Halperin, Rick A. Friedman, Waibhav Tembe, Lut Van Laer, Linna Makmura, Cor W. R. J. Cremers, Paul Van de Heyning, Jason J. Corneveaux, Jeffrey D. Ohmen, Martti Sorri, Jeroen R. Huyghe, Eva Orzan, Fred H. Linthicum, Sarah Bonneux, Sofie Thys, Ilmari Pyykkö, David Craig, Matthew J. Huentelman, John V. Pearson, Michael Bille, Hannie Kremer, Guy Van Camp, Erik Fransen, Ingeborg Dhooge, Els Van Eyken, and Dafydd Stephens
Subjects: Male, Genetics and epigenetic pathways of disease [NCMLS 6], Presbycusis, Single-nucleotide polymorphism, Genome-wide association study, Biology, Polymorphism, Single Nucleotide, White People, Mice, Receptors, Kainic Acid, Polymorphism (computer science), Genetics, medicine, Animals, Humans, SNP, Genetic Predisposition to Disease, Allele, Molecular Biology, Genotyping, Genetics (clinical), Aged, Association Studies Articles, Age Factors, General Medicine, Middle Aged, medicine.disease, Case-Control Studies, Ear, Inner, Female, Allelic heterogeneity, Human medicine, Functional Neurogenomics [DCN 2], Genome-Wide Association Study
Abstract: Contains fulltext : 80661.pdf (Publisher’s version ) (Closed access) Age-related hearing impairment (ARHI), or presbycusis, is the most prevalent sensory impairment in the elderly. ARHI is a complex disease caused by an interaction between environmental and genetic factors. Here we describe the results of the first whole genome association study for ARHI. The study was performed using 846 cases and 846 controls selected from 3434 individuals collected by eight centers in six European countries. DNA pools for cases and controls were allelotyped on the Affymetrix 500K GeneChip for each center separately. The 252 top-ranked single nucleotide polymorphisms (SNPs) identified in a non-Finnish European sample group (1332 samples) and the 177 top-ranked SNPs from a Finnish sample group (360 samples) were confirmed using individual genotyping. Subsequently, the 23 most interesting SNPs were individually genotyped in an independent European replication group (138 samples). This resulted in the identification of a highly significant and replicated SNP located in GRM7, the gene encoding metabotropic glutamate receptor type 7. Also in the Finnish sample group, two GRM7 SNPs were significant, albeit in a different region of the gene. As the Finnish are genetically distinct from the rest of the European population, this may be due to allelic heterogeneity. We performed histochemical studies in human and mouse and showed that mGluR7 is expressed in hair cells and in spiral ganglion cells of the inner ear. Together these data indicate that common alleles of GRM7 contribute to an individual's risk of developing ARHI, possibly through a mechanism of altered susceptibility to glutamate excitotoxicity.
Published: 2008
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186. Phenotypic variability of patients homozygous for the GJB2 mutation 35delG cannot be explained by the influence of one major modifier gene

Author: Richard J.H. Smith, Alessandra Murgia, István Sziklai, Pierangela Castorina, Małgorzata Mueller-Malesińska, Nele Hilgert, Ewa Nowakowska, Graça Fialho, Alessandro Martini, Erdmute Kunstmann, Ignacio del Castillo, Lut Van Laer, Felipe Moreno, Doris Nekahm-Heis, Cyril Goizet, Carla Nishimura, Guy Van Camp, Elena Mennucci, Agata Skórka, Stephen Vlaeminck, Paul Van de Heyning, Mustafa Tekin, Michael B. Petersen, Ashley Q. Thorburn, Virginia W. Norris, Petr Janoušek, Anne Françoise Roux, Jerzy Bal, Nele Dieltjens, Guenaëlle Lancelot, Delphine Feldmann, Tímea Tóth, Pavel Seeman, Andreas R. Janecke, Eva Orzan, Jaroslaw Waligora, Karianne Hostmark, Matthew J. Huentelman, Klemens Frei, Ingeborg Dhooge, Catherine Blanchet, Paul J. Govaerts, Vasiliki Vivian Iliadou, Erik Fransen, Umberto Ambrosetti, Karen Grønskov, Agnieszka Pollak, Kathleen S. Arnos, Françoise Denoyelle, Paola Primignani, Armagan Incesulu, Ouyang Xiaomei, Rafał Płoski, Sandrine Marlin, Arti Pandya, Xue Zhong Liu, and Helena Caria
Subjects: Single-nucleotide polymorphism, Genome-wide association study, Biology, medicine.disease_cause, Polymorphism, Single Nucleotide, Connexins, Article, 03 medical and health sciences, 0302 clinical medicine, Polymorphism (computer science), Genetic variation, Genotype, Genetics, medicine, Humans, Polymorphism, Hearing Loss, 030223 otorhinolaryngology, Gene, Genetics (clinical), 030304 developmental biology, Connexin 26, Genetic Variation, Genome-Wide Association Study, Homozygote, Mutation, Phenotype, 0303 health sciences, Single Nucleotide, Major gene
Abstract: Hereditary hearing loss (HL) is a very heterogeneous trait, with 46 gene identifications for non-syndromic HL. Mutations in GJB2 cause up to half of all cases of severe-to-profound congenital autosomal recessive non-syndromic HL, with 35delG being the most frequent mutation in Caucasians. Although a genotype-phenotype correlation has been established for most GJB2 genotypes, the HL of 35delG homozygous patients is mild to profound. We hypothesise that this phenotypic variability is at least partly caused by the influence of modifier genes. By performing a whole-genome association (WGA) study on 35delG homozygotes, we sought to identify modifier genes. The association study was performed by comparing the genotypes of mild/moderate cases and profound cases. The first analysis included a pooling-based WGA study of a first set of 255 samples by using both the Illumina 550K and Affymetrix 500K chips. This analysis resulted in a ranking of all analysed single-nucleotide polymorphisms (SNPs) according to their P-values. The top 250 most significantly associated SNPs were genotyped individually in the same sample set. All 192 SNPs that still had significant P-values were genotyped in a second independent set of 297 samples for replication. The significant P-values were replicated in nine SNPs, with combined P-values between 3 x 10(-3) and 1 x 10(-4). This study suggests that the phenotypic variability in 35delG homozygous patients cannot be explained by the effect of one major modifier gene. Significantly associated SNPs may reflect a small modifying effect on the phenotype. Increasing the power of the study will be of greatest importance to confirm these results.
Published: 2008
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187. Identification of genetic variants using bar-coded multiplexed sequencing

Author: Margot Redman, Nils Homer, Trisha Laub, Szabolcs Szelinger, Traci Pawlowski, Aswin Sekar, Gary Nunn, Matthew J. Huentelman, John V. Pearson, David Craig, Dietrich A. Stephan, and Jason J. Corneveaux
Subjects: 0106 biological sciences, dbSNP, Biology, ENCODE, Polymorphism, Single Nucleotide, 01 natural sciences, Biochemistry, Article, DNA sequencing, Deep sequencing, 03 medical and health sciences, Humans, International HapMap Project, Molecular Biology, Genotyping, Exome sequencing, 030304 developmental biology, Genetics, Electronic Data Processing, 0303 health sciences, Genome, Human, Genetic Variation, Cell Biology, Human genome, Sequence Alignment, 010606 plant biology & botany, Biotechnology
Abstract: We developed a generalized framework for multiplexed resequencing of targeted regions of the human genome on the Illumina Genome Analyzer using degenerate indexed DNA sequence barcodes ligated to fragmented DNA prior to sequencing. Using this method, the DNA of multiple HapMap individuals was simultaneously sequenced at several ENCODE (ENCyclopedia of DNA Elements) regions. We then evaluated the use of Bayes factors for discovering and genotyping polymorphisms from aligned sequenced reads. If we required that predicted polymorphisms be either previously identified by dbSNP or be visually evident upon reinspection of archived ENCODE traces, we observed a false-positive rate of 11.3% using strict thresholds (Ks>1,000) for predicting variants and 69.6% for lax thresholds (Ks>10). Conversely, false-negative rates ranged from 10.8% to 90.8%, with those at stricter cut-offs occurring at lower coverage (< 10 aligned reads). These results suggest that >90% of genetic variants are discoverable using multiplexed sequencing provided sufficient coverage at the polymorphic base.
Published: 2008
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188. A comprehensive catalogue of the coding and non-coding transcripts of the human inner ear

Author: Matthew J. Huentelman, April N. Allen, Guy Van Camp, Aldons J. Lusis, Yehudit Hasin-Brumshtein, Cory White, Isabelle Schrauwen, Jason J. Corneveaux, Rick A. Friedman, and Jeffrey D. Ohmen
Subjects: 0301 basic medicine, RNA, Untranslated, Hearing loss, Pseudogene, Biology, Deafness, Article, 03 medical and health sciences, Mice, 0302 clinical medicine, Hearing, Utricle, Databases, Genetic, medicine, otorhinolaryngologic diseases, Animals, Humans, Inner ear, Genetic Predisposition to Disease, RNA, Messenger, Cochlea, Oligonucleotide Array Sequence Analysis, Genetics, Vestibular system, Sequence Analysis, RNA, Gene Expression Profiling, Computational Biology, Sensory Systems, Cell biology, 030104 developmental biology, medicine.anatomical_structure, Phenotype, Vestibule, Ear, Inner, Saccule, sense organs, Human medicine, medicine.symptom, Transcriptome, 030217 neurology & neurosurgery
Abstract: The mammalian inner ear consists of the cochlea and the vestibular labyrinth (utricle, saccule, and semicircular canals), which participate in both hearing and balance. Proper development and life-long function of these structures involves a highly complex coordinated system of spatial and temporal gene expression. The characterization of the inner ear transcriptome is likely important for the functional study of auditory and vestibular components, yet, primarily due to tissue unavailability, detailed expression catalogues of the human inner ear remain largely incomplete. We report here, for the first time, comprehensive transcriptome characterization of the adult human cochlea, ampulla, saccule and utricle of the vestibule obtained from patients without hearing abnormalities. Using RNA-Seq, we measured the expression of >50,000 predicted genes corresponding to approximately 200,000 transcripts, in the adult inner ear and compared it to 32 other human tissues. First, we identified genes preferentially expressed in the inner ear, and unique either to the vestibule or cochlea. Next, we examined expression levels of specific groups of potentially interesting RNAs, such as genes implicated in hearing loss, long non-coding RNAs, pseudogenes and transcripts subject to nonsense mediated decay (NMD). We uncover the spatial specificity of expression of these RNAs in the hearing/balance system, and reveal evidence of tissue specific NMD. Lastly, we investigated the non-syndromic deafness loci to which no gene has been mapped, and narrow the list of potential candidates for each locus. These data represent the first high-resolution transcriptome catalogue of the adult human inner ear. A comprehensive identification of coding and non-coding RNAs in the inner ear will enable pathways of auditory and vestibular function to be further defined in the study of hearing and balance. Expression data are freely accessible at https://www.tgen.org/home/research/research-divisions/neurogenomics/supplementary-data/inner-ear-transcriptome.aspx. (C) 2015 Elsevier B.V. All rights reserved.
Published: 2016

189. Sorl1 as an Alzheimer’s Disease Predisposition Gene?

Author: Rebecca F. Halperin, Rivka Ravid, Diane Hu-Lince, Amanda J. Myers, David Craig, Jennifer Webster, Mona Kaleem, John Hardy, Matthew J. Huentelman, Andreas Papassotiropoulos, Victoria Zismann, Keta Joshipura, Douglas G. Walker, John V. Pearson, Lauren Marlowe, Christopher B. Heward, Joseph M. Rogers, Thomas G. Beach, Leslie Bryden, Dietrich A. Stephan, Doris G. Leung, Eric M. Reiman, and Keith D. Coon
Subjects: Apolipoprotein E, Genetics, Neurology, business.industry, SORL1, Medicine, Cognition, Neurology (clinical), Disease, Bioinformatics, business, Gene
Abstract: Alzheimer’s disease (AD) is a neurodegenerative disorder characterized by progressively disabling impairments in memory, cognition, and non-cognitive behavioural symptoms. Sporadic AD is multifactorial and genetically complex. While several monogenic mutations cause early-onset AD and gene alleles have been suggested as AD susceptibility factors, the only extensively validated susceptibility gene for late-onset AD is the apolipoprotein E (APOE) Ε4 allele. Alleles of the APOE gene do not account for all of the genetic load calculated to be responsible for AD predisposition. Recently, polymorphisms across the neuronal sortilin-related receptor (SORL1) gene were shown to be significantly associated with AD in several cohorts. Here we present the results of our large case-control whole-genome scan at over 500,000 polymorphisms which presents weak evidence for association and potentially narrows the association interval.
Published: 2007
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190. Whole-Genome Analysis of Sporadic Amyotrophic Lateral Sclerosis

Author: April McVey, Daniel T. O'Connor, Michael C. Graves, Carlayne E. Jackson, Jonathan S. Katz, Sharon E. Hesterlee, David Letizia, Travis Dunckley, Mike Hutton, Alan Pestronk, Tahseen Mozaffar, Dietrich A. Stephan, David Craig, Stanley H. Appel, Catherine Lomen-Hoerth, Kendall Jensen, Jeffrey Rosenfeld, Hiroshi Mitsumoto, Henrik Ryberg, Todd Levine, Keta Joshipura, Richard J. Barohn, Richard Crook, Rebecca F. Halperin, Robert Bowser, Ericka Simpson, Arthur Dick, Peter Bosch, Matthew J. Huentelman, John V. Pearson, Szabolcs Szelinger, Chelsea Stamper, Kuixing Zhang, Robert G. Miller, and Tulio E. Bertorini
Subjects: Male, Oncology, Pathology, medicine.medical_specialty, Genotype, Immunoblotting, Single-nucleotide polymorphism, Polymorphism, Single Nucleotide, Degenerative disease, Risk Factors, Polymorphism (computer science), Internal medicine, Odds Ratio, medicine, Humans, Genetic Predisposition to Disease, Age of Onset, Amyotrophic lateral sclerosis, Genome, Human, business.industry, Amyotrophic Lateral Sclerosis, Case-control study, Cerebrospinal Fluid Proteins, Sequence Analysis, DNA, General Medicine, Odds ratio, medicine.disease, Case-Control Studies, Mutation, Female, Age of onset, business
Abstract: Approximately 90% of persons with amyotrophic lateral sclerosis (ALS) have the sporadic form, which may be caused by the interaction of multiple environmental factors and previously unknown genes.We performed a genomewide association analysis using 766,955 single-nucleotide polymorphisms (SNPs) found in 386 white patients with sporadic ALS and 542 neurologically normal white controls (the discovery series). Associations of SNPs with sporadic ALS were confirmed in two independent replication populations: replication series 1, with 766 case patients with the disease and 750 neurologically normal controls, and replication series 2, with 135 case patients and 275 controls.We identified 10 genetic loci that are significantly associated (P0.05) with sporadic ALS in three independent series of case patients and controls and an additional 41 loci that had significant associations in two of the three series. The most significant association with disease in white case patients as compared with controls was found for a SNP near an uncharacterized gene known as FLJ10986 (P=3.0x10(-4); odds ratio for having the genotype in patients vs. controls, 1.35; 95% confidence interval, 1.13 to 1.62). The FLJ10986 protein was found to be expressed in the spinal cord and cerebrospinal fluid of patients and of controls. Specific SNPs seem to be associated with sex, age at onset, and site of onset of sporadic ALS.Variants of FLJ10986 may confer susceptibility to sporadic ALS. FLJ10986 and 50 other candidate loci warrant further investigation for their potential role in conferring susceptibility to the disease.
Published: 2007
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191. GAB2 Alleles Modify Alzheimer's Risk in APOE ɛ4 Carriers

Author: Doris G. Leung, Keith D. Coon, Stacey Melquist, Jennifer Webster, Alice S. Zhao, Christopher B. Heward, Mona Kaleem, Walter A. Kukull, Diane Hu-Lince, John Hardy, Amanda J. Myers, Leslie Bryden, Matthew J. Huentelman, R. C. Petersen, Dietrich A. Stephan, Travis Dunckley, Eric M. Reiman, Joseph Rogers, Diego Mastroeni, Richard J. Caselli, Victoria Zismann, Andreas Papassotiropoulos, Mike Hutton, Winnie S. Liang, Andrew Grover, Lauren Marlowe, John V. Pearson, Gene E. Alexander, Rivka Ravid, Kristen Rohrer, Ri Lee H. Herbert, Thomas G. Beach, David Craig, and Keta Joshipura
Subjects: Apolipoprotein E, Genetics, 0303 health sciences, education.field_of_study, biology, Neuroscience(all), General Neuroscience, Population, Haplotype, HUMDISEASE, Single-nucleotide polymorphism, GAB2, MOLNEURO, 3. Good health, PICALM, 03 medical and health sciences, 0302 clinical medicine, biology.protein, lipids (amino acids, peptides, and proteins), Allele, education, Allele frequency, 030217 neurology & neurosurgery, 030304 developmental biology
Abstract: The apolipoprotein E (APOE) epsilon4 allele is the best established genetic risk factor for late-onset Alzheimer's disease (LOAD). We conducted genome-wide surveys of 502,627 single-nucleotide polymorphisms (SNPs) to characterize and confirm other LOAD susceptibility genes. In epsilon4 carriers from neuropathologically verified discovery, neuropathologically verified replication, and clinically characterized replication cohorts of 1411 cases and controls, LOAD was associated with six SNPs from the GRB-associated binding protein 2 (GAB2) gene and a common haplotype encompassing the entire GAB2 gene. SNP rs2373115 (p = 9 x 10(-11)) was associated with an odds ratio of 4.06 (confidence interval 2.81-14.69), which interacts with APOE epsilon4 to further modify risk. GAB2 was overexpressed in pathologically vulnerable neurons; the Gab2 protein was detected in neurons, tangle-bearing neurons, and dystrophic neuritis; and interference with GAB2 gene expression increased tau phosphorylation. Our findings suggest that GAB2 modifies LOAD risk in APOE epsilon4 carriers and influences Alzheimer's neuropathology.
Published: 2007
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192. Identification of a Novel Risk Locus for Progressive Supranuclear Palsy by a Pooled Genomewide Scan of 500,288 Single-Nucleotide Polymorphisms

Author: Matt Baker, Donald B. Calne, Szabolcs Szelinger, Jennifer Adamson, Ashley Cannon, Matthew J. Farrer, Richard Crook, Keith D. Coon, Zbigniew K. Wszolek, Victoria Zismann, Ryan J. Uitti, Dietrich A. Stephan, Paul J. Tuite, Lawrence I. Golbe, David Craig, Stacey Melquist, Dennis W. Dickson, Jason J. Corneveaux, Irene Litvan, Matthew J. Huentelman, Jennifer Gass, John V. Pearson, Eileen H. Bigio, Neill R. Graff-Radford, Richard J. Caselli, Charles H. Adler, Mike Hutton, and Sarah Lincoln
Subjects: Acid Phosphatase, Locus (genetics), Single-nucleotide polymorphism, Biology, Polymorphism, Single Nucleotide, Progressive supranuclear palsy, 03 medical and health sciences, 0302 clinical medicine, Report, Genotype, Genetics, medicine, Humans, Genetics(clinical), Genetic Predisposition to Disease, Allele, Allele frequency, Genetics (clinical), 030304 developmental biology, 0303 health sciences, Chromosomes, Human, Pair 11, Haplotype, Genomics, medicine.disease, DNA-Binding Proteins, Lysosomal acid phosphatase, Supranuclear Palsy, Progressive, 030217 neurology & neurosurgery
Abstract: To date, only the H1 MAPT haplotype has been consistently associated with risk of developing the neurodegenerative disease progressive supranuclear palsy (PSP). We hypothesized that additional genetic loci may be involved in conferring risk of PSP that could be identified through a pooling-based genomewide association study of >500,000 SNPs. Candidate SNPs with large differences in allelic frequency were identified by ranking all SNPs by their probe-intensity difference between cohorts. The MAPT H1 haplotype was strongly detected by this methodology, as was a second major locus on chromosome 11p12-p11 that showed evidence of association at allelic (P
Published: 2007
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193. Identification of the Genetic Basis for Complex Disorders by Use of Pooling-Based Genomewide Single-Nucleotide–Polymorphism Association Studies

Author: Jan O. Aasly, Frank Jessen, Stacey Melquist, Victoria Zismann, Eric M. Reiman, Dietrich A. Stephan, Mike Hutton, Reinhard Heun, Jennifer Webster, Keith D. Coon, Szabolcs Szelinger, Matthew J. Huentelman, Sigrid Botne Sando, Rebecca F. Halperin, Nils Homer, Andreas Papassotiropoulos, Makrina Daniilidou, David Craig, Waibhav Tembe, Marcel Brun, Magdalini Tsolaki, Thomas G. Beach, John V. Pearson, Heike Kölsch, University of Zurich, and Craig, D W
Subjects: Genetic Markers, Male, 2716 Genetics (clinical), Genotype, 610 Medicine & health, Single-nucleotide polymorphism, Biology, Gonadal Dysgenesis, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, 0302 clinical medicine, 1311 Genetics, Alzheimer Disease, Testis, Genetics, Genetic predisposition, Humans, SNP, Genetics(clinical), Computer Simulation, Genotyping, Genetics (clinical), Oligonucleotide Array Sequence Analysis, 030304 developmental biology, Genetic association, 0303 health sciences, Models, Genetic, Genome, Human, 11359 Institute for Regenerative Medicine (IREM), Syndrome, Tag SNP, 3. Good health, SNP genotyping, Research Design, Case-Control Studies, Supranuclear Palsy, Progressive, Software, 030217 neurology & neurosurgery, SNP array
Abstract: We report the development and validation of experimental methods, study designs, and analysis software for pooling-based genomewide association (GWA) studies that use high-throughput single-nucleotide–polymorphism (SNP) genotyping microarrays. We first describe a theoretical framework for establishing the effectiveness of pooling genomic DNA as a low-cost alternative to individually genotyping thousands of samples on high-density SNP microarrays. Next, we describe software called “GenePool,” which directly analyzes SNP microarray probe intensity data and ranks SNPs by increased likelihood of being genetically associated with a trait or disorder. Finally, we apply these methods to experimental case-control data and demonstrate successful identification of published genetic susceptibility loci for a rare monogenic disease (sudden infant death with dysgenesis of the testes syndrome), a rare complex disease (progressive supranuclear palsy), and a common complex disease (Alzheimer disease) across multiple SNP genotyping platforms. On the basis of these theoretical calculations and their experimental validation, our results suggest that pooling-based GWA studies are a logical first step for determining whether major genetic associations exist in diseases with high heritability.
Published: 2007
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194. Rare Variants in Cardiomyopathy Genes Associated With Stress-Induced Cardiomyopathy

Author: M. Yashar S. Kalani, Robert F. Spetzler, Ryan Richholt, Ashley L. Siniard, Ryan Bruhns, Jason J. Corneveaux, James Forseth, Matthew J. Huentelman, Joseph M. Zabramski, and Peter Nakaji
Subjects: 0301 basic medicine, Adult, Male, Cardiomyopathy, Disease, 030204 cardiovascular system & hematology, Bioinformatics, White People, Article, 03 medical and health sciences, Exon, symbols.namesake, 0302 clinical medicine, Stress, Physiological, Medicine, Humans, Exome, Genetic Predisposition to Disease, Gene, Exome sequencing, Sanger sequencing, business.industry, Genetic Variation, High-Throughput Nucleotide Sequencing, medicine.disease, 030104 developmental biology, symbols, Surgery, Human genome, Female, Neurology (clinical), business, Cardiomyopathies, Stress, Psychological
Abstract: Background Stress-induced cardiomyopathy (SIC) is a poorly understood condition associated with periods of emotional and physical stress. The clinical approaches for management of SIC are supportive and reactive to patient symptoms. Objective To utilize next-generation exome sequencing to define genetic variation associated with, and potentially responsible for, this disease. Methods We performed exome sequencing of 7 white female patients with SIC. Filtering of the identified variants was performed to limit our investigation to those sequences that passed quality control criteria, were rare or novel, were determined algorithmically to have high impact on the associated protein, and were within regions of high species conservation. All variants were verified by using Sanger sequencing. Results Exome-sequencing analysis revealed that each patient carried predicted deleterious variants affecting known cardiomyopathy genes. In each case, the identified variant was either not previously found in public human genome data or was previously annotated in a database of clinical variants associated with cardiac dysfunction. Conclusion Patients with SIC harbor deleterious mutations in established cardiomyopathy genes at a level higher than healthy controls. We hypothesize that patients at highest risk for SIC likely live in a compensated state of cardiac dysfunction that manifests clinically only after the myocardium is stressed. In short, we propose that SIC is another example of an occult cardiomyopathy with a distinct physiological trigger and suggest that alternative clinical approaches to these patients may be warranted. Abbreviations CADD, Combined Annotation Dependent DepletionFPKM, fragments per kilobase pair of exon per million fragments mappedNHLBI GO ESP, National Heart, Lung, and Blood Institute Grand Opportunity Exome Sequencing ProjectPCR, polymerase chain reactionSIC, stress-induced cardiomyopathy.
Published: 2015

195. Next-generation profiling to identify the molecular etiology of Parkinson dementia

Author: Lori Cuyugan, Matthew De Both, Jason J. Corneveaux, Matthew J. Huentelman, Winnie S. Liang, Thomas G. Beach, Adrienne Henderson-Smith, Erika Driver-Dunckley, Travis Dunckley, and Charles H. Adler
Subjects: 0301 basic medicine, Alternative splicing, RNA, Disease, Biology, medicine.disease, Bioinformatics, Article, 03 medical and health sciences, 030104 developmental biology, Posterior cingulate, Gene expression, RNA splicing, medicine, Dementia, Neurology (clinical), Gene, Genetics (clinical)
Abstract: Objective: We sought to determine the underlying cortical gene expression changes associated with Parkinson dementia using a next-generation RNA sequencing approach. Methods: In this study, we used RNA sequencing to evaluate differential gene expression and alternative splicing in the posterior cingulate cortex from neurologically normal control patients, patients with Parkinson disease, and patients with Parkinson disease with dementia. Results: Genes overexpressed in both disease states were involved with an immune response, whereas shared underexpressed genes functioned in signal transduction or as components of the cytoskeleton. Alternative splicing analysis produced a pattern of immune and RNA-processing disturbances. Conclusions: Genes with the greatest degree of differential expression did not overlap with genes exhibiting significant alternative splicing activity. Such variation indicates the importance of broadening expression studies to include exon-level changes because there can be significant differential splicing activity with potential structural consequences, a subtlety that is not detected when examining differential gene expression alone, or is underrepresented with probe-limited array technology.
Published: 2015

196. Multi-scale study of normal aging predicts novel late-onset Alzheimer's disease risk variants

Author: Lynda A. Wilmott, Catherine C. Kaczorowski, Gerd Kempermann, Jesse Ingels, Thomas M. Shapaker, Matthew J. Huentelman, Lu Lu, Matthew D. DeBoth, Sarah M. Neuner, and Robert W. Williams
Subjects: Structural Biology, business.industry, Applied Mathematics, Poster Presentation, Disease risk, Medicine, Late onset, Normal aging, business, Bioinformatics, Molecular Biology, Biochemistry, Computer Science Applications
Published: 2015
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197. Association of SNPs in EGR3 and ARC with Schizophrenia Supports a Biological Pathway for Schizophrenia Risk

Author: Rebecca Reiman, Alexandre A. Todorov, Matthew J. Huentelman, Leela Muppana, Matt De Both, C. Robert Cloninger, Jeremy J. Pruzin, Valentin Dinu, Jason J. Corneveaux, Cassie N. Borish, Jie Ma, Amber Ahmed, Rui Zhang, and Amelia L. Gallitano
Subjects: Male, China, Genotyping Techniques, Population, lcsh:Medicine, Genome-wide association study, Single-nucleotide polymorphism, Nerve Tissue Proteins, Biology, Polymorphism, Single Nucleotide, 03 medical and health sciences, 0302 clinical medicine, Asian People, Risk Factors, medicine, SNP, media_common.cataloged_instance, Humans, European union, lcsh:Science, education, Early Growth Response Protein 3, 030304 developmental biology, media_common, Genetics, 0303 health sciences, education.field_of_study, Multidisciplinary, Arc (protein), lcsh:R, High-Throughput Nucleotide Sequencing, Tag SNP, medicine.disease, 3. Good health, Cytoskeletal Proteins, Schizophrenia, lcsh:Q, Female, 030217 neurology & neurosurgery, Research Article
Abstract: We have previously hypothesized a biological pathway of activity-dependent synaptic plasticity proteins that addresses the dual genetic and environmental contributions to schizophrenia. Accordingly, variations in the immediate early gene EGR3, and its target ARC, should influence schizophrenia susceptibility. We used a pooled Next-Generation Sequencing approach to identify variants across these genes in U.S. populations of European (EU) and African (AA) descent. Three EGR3 and one ARC SNP were selected and genotyped for validation, and three SNPs were tested for association in a replication cohort. In the EU group of 386 schizophrenia cases and 150 controls EGR3 SNP rs1877670 and ARC SNP rs35900184 showed significant associations (p = 0.0078 and p = 0.0275, respectively). In the AA group of 185 cases and 50 controls, only the ARC SNP revealed significant association (p = 0.0448). The ARC SNP did not show association in the Han Chinese (CH) population. However, combining the EU, AA, and CH groups revealed a highly significant association of ARC SNP rs35900184 (p = 2.353 x 10(-7); OR [95% CI] = 1.54 [1.310-1.820]). These findings support previously reported associations between EGR3 and schizophrenia. Moreover, this is the first report associating an ARC SNP with schizophrenia and supports recent large-scale GWAS findings implicating the ARC complex in schizophrenia risk. These results support the need for further investigation of the proposed pathway of environmentally responsive, synaptic plasticity-related, schizophrenia genes.
Published: 2015

198. Whole-genome sequencing suggests a chemokine gene cluster that modifies age at onset in familial Alzheimer's disease

Author: Laura Ramírez, Ryan Fitch, Juliana Acosta-Uribe, Kevin Wojta, Brianne M. Bettcher, Mary E. Brunkow, M. D. De Both, Eric M. Reiman, Giovanni Coppola, Mary Luz Arcila, Gustavo Glusman, Matthew J. Huentelman, G. Garcia, Matthew A. Lalli, Ken Kosik, Jared C. Roach, Andres Baena, Francisco Lopera, Lucia Madrigal, Aimee W. Kao, and C Guzman
Subjects: Male, Aging, Genome-wide association study, Neurodegenerative, Alzheimer's Disease, Medical and Health Sciences, Cohort Studies, PSEN1, 2.1 Biological and endogenous factors, Alzheimer's Disease including Alzheimer's Disease Related Dementias, Age of Onset, Genetics, Psychiatry, education.field_of_study, Single Nucleotide, Middle Aged, Biological Sciences, Psychiatry and Mental health, Neurological, Female, Alzheimer's disease, Human, Adult, Chemokine CCL11, Genotype, Population, Single-nucleotide polymorphism, Locus (genetics), Enzyme-Linked Immunosorbent Assay, Polymorphism, Single Nucleotide, Chromosomes, Cellular and Molecular Neuroscience, Alzheimer Disease, Clinical Research, medicine, Acquired Cognitive Impairment, Humans, Polymorphism, education, Molecular Biology, Aged, business.industry, Pair 17, Haplotype, Human Genome, Psychology and Cognitive Sciences, Neurosciences, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), medicine.disease, Brain Disorders, Dementia, Age of onset, Immediate Communication, business, Cognition Disorders, Chromosomes, Human, Pair 17, Genome-Wide Association Study
Abstract: © 2015 Macmillan Publishers Limited We have sequenced the complete genomes of 72 individuals affected with early-onset familial Alzheimer's disease caused by an autosomal dominant, highly penetrant mutation in the presenilin-1 (PSEN1) gene, and performed genome-wide association testing to identify variants that modify age at onset (AAO) of Alzheimer’s disease. Our analysis identified a haplotype of single-nucleotide polymorphisms (SNPs) on chromosome 17 within a chemokine gene cluster associated with delayed onset of mild-cognitive impairment and dementia. Individuals carrying this haplotype had a mean AAO of mild-cognitive impairment at 51.0±5.2 years compared with 41.1±7.4 years for those without these SNPs. This haplotype thus appears to modify Alzheimer's AAO, conferring a large (~10 years) protective effect. The associated locus harbors several chemokines including eotaxin-1 encoded by CCL11, and the haplotype includes a missense polymorphism in this gene. Validating this association, we found plasma eotaxin-1 levels were correlated with disease AAO in an independent cohort from the University of California San Francisco Memory and Aging Center. In this second cohort, the associated haplotype disrupted the typical age-associated increase of eotaxin-1 levels, suggesting a complex regulatory role for this haplotype in the general population. Altogether, these results suggest eotaxin-1 as a novel modifier of Alzheimer's disease AAO and open potential avenues for therapy.Molecular Psychiatry advance online publication, 1 September 2015; doi:10.1038/mp.2015.131.
Published: 2015
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199. DNA Diagnostics of Hereditary Hearing Loss: A Targeted Resequencing Approach Combined with a Mutation Classification System

Author: Kathleen Claes, Sandra Janssens, M. Verstreken, Paul Coucke, Wim Wuyts, Guy Van Camp, Manou Sommen, Geert Mortier, Els De Leenheer, Geert Vandeweyer, Matthew J. Huentelman, Friederike Predöhl, Maria Bitner-Glindzicz, Tobias Moser, Nele Boeckx, Jenneke van den Ende, Nicola Strenzke, An Boudewyns, Jason J. Corneveaux, and Isabelle Schrauwen
Subjects: 0301 basic medicine, MYO15A, DNA Copy Number Variations, Hearing loss, MYO7A, Hearing Loss, Sensorineural, Population, Biology, Myosins, GPI-Linked Proteins, Polymorphism, Single Nucleotide, Connexins, 03 medical and health sciences, symbols.namesake, 0302 clinical medicine, INDEL Mutation, Genetics, medicine, OTOF, otorhinolaryngologic diseases, Humans, Exome, Genetic Predisposition to Disease, education, Indel, Genetics (clinical), Pendred syndrome, Sanger sequencing, education.field_of_study, High-Throughput Nucleotide Sequencing, Membrane Proteins, Sequence Analysis, DNA, medicine.disease, Connexin 26, 030104 developmental biology, Myosin VIIa, Mutation, symbols, Intercellular Signaling Peptides and Proteins, Human medicine, medicine.symptom, 030217 neurology & neurosurgery
Abstract: Although there are nearly 100 different causative genes identified for nonsyndromic hearing loss (NSHL), Sanger sequencing-based DNA diagnostics usually only analyses three, namely, GJB2, SLC26A4, and OTOF. As this is seen as inadequate, there is a need for high-throughput diagnostic methods to detect disease-causing variations, including single-nucleotide variations (SNVs), insertions/deletions (Indels), and copy-number variations (CNVs). In this study, a targeted resequencing panel for hearing loss was developed including 79 genes for NSHL and selected forms of syndromic hearing loss. One-hundred thirty one presumed autosomal-recessive NSHL (arNSHL) patients of Western-European ethnicity were analyzed for SNVs, Indels, and CNVs. In addition, we established a straightforward variant classification system to deal with the large number of variants encountered. We estimate that combining prescreening of GJB2 with our panel leads to a diagnosis in 25%-30% of patients. Our data show that after GJB2, the most commonly mutated genes in a Western-European population are TMC1, MYO15A, and MYO7A (3.1%). CNV analysis resulted in the identification of causative variants in two patients in OTOA and STRC. One of the major challenges for diagnostic gene panels is assigning pathogenicity for variants. A collaborative database collecting all identified variants from multiple centers could be a valuable resource for hearing loss diagnostics.
Published: 2015

200. OS046. Genome-wide association scans identify novel maternalsusceptibility loci for preeclampsia

Author: Guro Dalheim Olsen, H. Krokan, Christine East, Maiken Elvestad Gabrielsen, Linda Tømmerdal Roten, Lawrence J. Abraham, Thomas D. Dyer, Eric K. Moses, Ann-Charlotte Iversen, Matthew P. Johnson, JW Kent, Rigmor Austgulen, Shaun P. Brennecke, J.A. Zwart, Matthew J. Huentelman, John Blangero, Bendik S. Winsvold, Joanne M Said, and A. Håberg
Subjects: Genetics, INHBB, Linkage disequilibrium, Positional cloning, Internal Medicine, Intergenic SNP, Obstetrics and Gynecology, SNP, Single-nucleotide polymorphism, Locus (genetics), Genome-wide association study, Biology
Abstract: Introduction We have successfully utilized a family-based study design to localize several positional candidate preeclampsia susceptibility genes to chromosomes 2q22( ACVR2A , LCT , LRP1B , RND3 , GCA ),5q ( ERAP2 ) and 13q( TNFSF13B ). We now report on our continued positional cloning efforts using an alternative genome-wide association (GWA) mapping strategy in large Caucasian case-control cohorts from Australia and Norway. Objectives To identify maternal genetic risk loci for preeclampsia. Methods The unrelated Australian samples (545 cases,547 controls) were genotyped using Illumina BeadChip technology (700K loci) and have been analyzed using PLINK. All unrelated Norwegian samples were genotyped across several Illumina BeadChip substrates and consist of 847 cases (700K loci) and 638 controls. The Norwegian control samples originate from other HUNT studies pertaining to migraine ( n =95,700K loci), lung cancer ( n =89,370K loci) and normal brain pathology ( n =454,2.5M loci). To analyze a concordant set of 2.5–3 million genotypes across all Norwegian samples we are currently using MaCH to impute those loci not directly genotyped. The Norwegian GWA data will be analyzed in SOLAR utilizing empirical kinship estimates to account for any distant relatedness. Results 1078 Australian samples (538 cases,540 controls) and 648, 175 SNPs passed our quality control metrics. Two SNP associations (rs7579169, p =3.6×10 −7 ; rs12711941, p =4.3×10 −7 ) satisfied our genome-wide significant threshold ( p −7 ). These SNPs reside less than 15kb downstream from the 3 terminus of the Inhibin, beta B ( INHBB ) gene on 2q14.2. Sequencing of the INHBB locus in our patient cohort identified a third intergenic SNP to significantly associate with preeclampsia (rs7576192, p =1.5×10 −7 ). These three SNPs confer risk (OR>1.56) and are in strong linkage disequilibrium with each other (r 2 >0.9) but not with any other genotyped SNP ±200kb. The analysis of the Norwegian GWAS is underway. Conclusion The Australian GWAS has identified a novel preeclampsia risk locus on chromosome 2q. The INHBB gene closest to our SNP associations is a plausible positional candidate susceptibility gene. There is a substantive body of evidence implicating inhibins, activins and other members of the TGF- β superfamily to have a role in the development of preeclampsia. The biological connection between ACVR2A and INHBB leads us to speculate that our linkage-based and GWA-based study designs, respectively, have identified a key biological pathway involved in susceptibility to preeclampsia.
Published: 2015

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