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2. Medieval Glass and the Aesthetics of Simulation

Author

Gillman, Matthew Elliott

Subjects
Glassware, Medieval, Art, Iraqi, Abbasids, Precious stones, Art, Medieval
Abstract

Gemlike objects are a nearly ubiquitous phenomenon in the medium of glass, although culturally specific studies remain scarce. This dissertation considers the production of such works in the early medieval period, primarily in association with Abbasid rule. The first half attends to several accessory issues, including glass-related terminology, glass-coloring treatises, the lives of glassworkers, gemstone connoisseurship, and the legal status of such products. These demonstrate a range of coexisting attitudes, including the desirability of such works for their own sake rather than as surreptitious substitutes for “true” gemstones. The second half focuses on an exemplary object, an opaque turquoise glass bowl from the Treasury of San Marco in Venice, which I propose was produced in Baghdad for the caliph al-Mutawakkil just after the year 850. I then consider this work’s changing reception from late medieval Venice to modern scholarship, including ways in which “correct” interpretations of its material and/or origin have been repeatedly supplanted by false leads. The fundamental argument is that gemlike vessels like the San Marco turquoise were not deceptive stand-ins but rather intended to exercise complex discursive practices, both political and connoisseurial in nature, a function that ultimately remains in effect today.

Published
2021
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3. Maternal corticotropin-releasing hormone is associated with LEP DNA methylation at birth and in childhood: an epigenome-wide study in Project Viva

Author

Tian, Fu-Ying, Rifas-Shiman, Sheryl L, Cardenas, Andres, Baccarelli, Andrea A, DeMeo, Dawn L, Litonjua, Augusto A, Rich-Edwards, Janet W, Gillman, Matthew W, Oken, Emily, and Hivert, Marie-France

Subjects
Leptin, Adult, Male, Corticotropin-Releasing Hormone, Reproductive health and childbirth, Medical and Health Sciences, Education, Promoter Regions, Epigenome, Endocrinology & Metabolism, Genetic, Clinical Research, Pregnancy, Genetics, 2.1 Biological and endogenous factors, 2.2 Factors relating to the physical environment, Humans, Prospective Studies, Aetiology, Child, Pediatric, Prevention, Human Genome, Infant, DNA Methylation, Fetal Blood, Newborn, Prenatal Exposure Delayed Effects, CpG Islands, Female, hormones, hormone substitutes, and hormone antagonists, Genome-Wide Association Study
Abstract

BackgroundCorticotropin-releasing hormone (CRH) plays a central role in regulating the secretion of cortisol which controls a wide range of biological processes. Fetuses overexposed to cortisol have increased risks of disease in later life. DNA methylation may be the underlying association between prenatal cortisol exposure and health effects. We investigated associations between maternal CRH levels and epigenome-wide DNA methylation of cord blood in offsprings and evaluated whether these associations persisted into mid-childhood.MethodsWe investigated mother-child pairs enrolled in the prospective Project Viva pre-birth cohort. We measured DNA methylation in 257 umbilical cord blood samples using the HumanMethylation450 Bead Chip. We tested associations of maternal CRH concentration with cord blood cells DNA methylation, adjusting the model for maternal age at enrollment, education, maternal race/ethnicity, maternal smoking status, pre-pregnancy body mass index, parity, gestational age at delivery, child sex, and cell-type composition in cord blood. We further examined the persistence of associations between maternal CRH levels and DNA methylation in children's blood cells collected at mid-childhood (n = 239, age: 6.7-10.3 years) additionally adjusting for the children's age at blood drawn.ResultsMaternal CRH levels are associated with DNA methylation variability in cord blood cells at 96 individual CpG sites (False Discovery Rate

Published
2019

4. PEARLS randomized lifestyle trial in pregnant Hispanic women with overweight/obesity: gestational weight gain and offspring birthweight

Author

Trak-Fellermeier,María A., Campos,Maribel, Meléndez,Marytere, Pomeroy,Jeremy, Palacios,Cristina, Rivera-Viñas,Juana, Méndez,Keimari, Febo,Irma, Willett,Walter, Gillman,Matthew W., Franks,Paul W., and Joshipura,Kaumudi

Subjects
neonatal, birthweight, obese, gestational weight gain, randomized controlled trial, lifestyle modification, overweight, pregnancy, Corrigendum, Targets and Therapy [Diabetes, Metabolic Syndrome and Obesity], intervention, Original Research
Abstract

María A Trak-Fellermeier,1,* Maribel Campos,1,* Marytere Meléndez,1,* Jeremy Pomeroy,2 Cristina Palacios,3 Juana Rivera-Viñas,4 Keimari Méndez,4 Irma Febo,5 Walter Willett,6 Mathew W Gillman,7 Paul W Franks,6,8 Kaumudi Joshipura1,9 1Center for Clinical Research and Health Promotion, School of Dental Medicine, Medical Sciences Campus, University of Puerto Rico, San Juan, PR, USA; 2Clinical Research Center, Marshfield Clinic Research Institute, Marshfield Clinic Health System, Marshfield, WI, USA; 3Department of Dietetics and Nutrition, Robert Stempel College of Public Health & Social Work, Florida International University, Miami, FL, USA; 4Department of Obstetrics and Gynecology, School of Medicine, Medical Sciences Campus, University of Puerto Rico, San Juan, PR, USA; 5Department of Pediatrics, School of Medicine, Medical Sciences Campus, University of Puerto Rico, San Juan, PR, USA; 6Department of Nutrition, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA; 7Division of Chronic Disease Research Across the Life Course, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA; 8Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, Skåne University Hospital, Malmö, Sweden; 9Department of Epidemiology, Harvard T.H. Chan Public Health School, Harvard University, Boston, MA, USA *These authors contributed equally to this work Background: Inappropriate gestational weight gain (GWG) has been associated with adverse perinatal events. High rates of GWG have been reported among Hispanic women. Observational studies indicate that dietary and physical activity interventions during the prenatal period may improve maternal and infant health, but very few randomized trials have been conducted among high-risk overweight/obese Hispanic women. Accordingly, we conducted a lifestyle intervention among high-risk pregnant women and evaluated its impact on achieving appropriate GWG and on improving birthweight.Methods: Eligible overweight/obese women presenting at the University Hospital in Puerto Rico with a singleton pregnancy before 16 gestational weeks were recruited and randomized to lifestyle intervention (n=15) or control group (n=16). The lifestyle intervention focused on improving physical activity and diet quality and optimizing caloric intake. We evaluated the impact of the lifestyle intervention on achieving appropriate GWG and on infant birthweight. Poisson and linear regression analyses were performed. Results: The primary intent to treat analysis showed no significant effect on achievement of appropriate GWG/week through 36 weeks in the intervention group (4/15 women) when compared with the control group (3/16 women) (adjusted incidence rate ratio =1.14; 95% CI: 0.20, 6.67). Although not statistically significant, women in the intervention group (6/15) were 1.7 times more likely to achieve appropriate weekly GWG until delivery when compared with controls (4/16 women) (adjusted incidence rate ratio = 1.67; 95% CI: 0.40, 6.94). We observed lower adjusted birthweight-for-length z-scores in the intervention compared with the control group among male newborns with z-score difference −1.74 (−3.04, −0.43), but not among females −0.83 (−3.85, 2.19). These analyses were adjusted for age and baseline body mass index.Conclusion: Although larger studies are required to determine whether women with obesity may benefit from prenatal lifestyle interventions targeting GWG, our results are suggestive of the intervention improving adherence to established Institute of Medicine guidelines. Keywords: gestational weight gain, lifestyle modification, pregnancy, birthweight, neonatal, randomized controlled trial, overweight, obese, intervention

Published
2019

5. Additional file 1: of Development and testing of a novel survey to assess Stakeholder-driven Community Diffusion of childhood obesity prevention efforts

Author

Ariella Korn, Hennessy, Erin, Hammond, Ross, Allender, Steven, Gillman, Matthew, Kasman, Matt, McGlashan, Jaimie, Millar, Lynne, Brynle Owen, Pachucki, Mark, Swinburn, Boyd, Tovar, Alison, and Economos, Christina

Abstract

Table S1A. Engagement literature review and scale development. (DOCX 54 kb)

Published
2018
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6. Additional file 2: of Development and testing of a novel survey to assess Stakeholder-driven Community Diffusion of childhood obesity prevention efforts

Author

Ariella Korn, Hennessy, Erin, Hammond, Ross, Allender, Steven, Gillman, Matthew, Kasman, Matt, McGlashan, Jaimie, Millar, Lynne, Brynle Owen, Pachucki, Mark, Swinburn, Boyd, Tovar, Alison, and Economos, Christina

Abstract

Table S2B1-B2. Phase 2 retrospective Shape Up Somerville per-item knowledge and engagement reliability results (nâ =â 11 paired responses). Data from test-retest surveys administered online one week apart in May and June 2015: members of the 2003â 2005 Shape Up Somerville Community Advisory Council. (DOCX 33 kb)

Published
2018
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8. Genome-wide estimates of inbreeding in unrelated individuals and their association with cognitive ability

Author

Power, Robert A, Nagoshi, Craig, DeFries, John C, Donnelly, Peter, Barroso, Ines, Blackwell, Jenefer M, Bramon, Elvira, Brown, Matthew A, Casas, Juan P, Corvin, Aiden, Deloukas, Panos, Duncanson, Audrey, Jankowski, Janusz, Markus, Hugh S, Mathew, Christopher G, Palmer, Colin NA, Plomin, Robert, Rautanen, Anna, Sawcer, Stephen J, Trembath, Richard C, Viswanathan, Ananth C, Wood, Nicholas W, Spencer, Chris C A, Band, Gavin, Bellenguez, Céline, Freeman, Colin, Hellenthal, Garrett, Giannoulatou, Eleni, Pirinen, Matti, Pearson, Richard, Strange, Amy, Su, Zhan, Vukcevic, Damjan, Langford, Cordelia, Hunt, Sarah E, Edkins, Sarah, Gwilliam, Rhian, Blackburn, Hannah, Bumpstead, Suzannah J, Dronov, Serge, Gillman, Matthew, Gray, Emma, Hammond, Naomi, Jayakumar, Alagurevathi, McCann, Owen T, Liddle, Jennifer, Potter, Simon C, Ravindrarajah, Radhi, Ricketts, Michelle, Waller, Matthew, Weston, Paul, Widaa, Sara, and Whittaker, Pamela

Subjects
Adult, Male, Intelligence, Population, Genome-wide association study, Single-nucleotide polymorphism, Biology, Runs of Homozygosity, Polymorphism, Single Nucleotide, Article, Consanguinity, 03 medical and health sciences, Cognition, 0302 clinical medicine, Genetics, Humans, Child, education, Genetic Association Studies, Genetics (clinical), 030304 developmental biology, 0303 health sciences, education.field_of_study, Genome, Human, Homozygote, Assortative mating, Minor allele frequency, Case-Control Studies, Female, Inbreeding, 030217 neurology & neurosurgery
Abstract

The consequence of reduced cognitive ability from inbreeding has long been investigated, mainly restricted to cousin-cousin marriages. Molecular genetic techniques now allow us to test the relationship between increased ancestral inbreeding and cognitive ability in a population of traditionally unrelated individuals. In a representative UK sample of 2329 individuals, we used genome-wide SNP data to estimate the percentage of the genome covered by runs of homozygous SNPs (ROH). This was tested for association with general cognitive ability, as well as measures of verbal and non-verbal ability. Further, association was tested between these traits and specific ROH. Burden of ROH was not associated with cognitive ability after correction for multiple testing, although burden of ROH was nominally associated with increased non-verbal cognitive ability (P=0.03). Moreover, although no individual ROH was significantly associated with cognitive ability, there was a significant bias towards increased cognitive ability in carriers of ROH (P=0.002). A potential explanation for these results is increased positive assortative mating in spouses with higher cognitive ability, although we found no evidence in support of this hypothesis in a separate sample. Reduced minor allele frequency across the genome was associated with higher cognitive ability, which could contribute to an apparent increase in ROH. This may reflect minor alleles being more likely to be deleterious.

Published
2013

9. One-year postpartum outcomes following a weight management intervention in pregnant women with obesity

Author

Vesco, Kimberly K, Leo, Michael C, Karanja, Njeri, Gillman, Matthew W, McEvoy, Cindy T, King, Janet C, Eckhardt, Cara L, Smith, K Sabina, Perrin, Nancy, and Stevens, Victor J

Subjects
Postnatal Care, Counseling, Adult, and promotion of well-being, Clinical Trials and Supportive Activities, Mothers, Gestational Age, Reproductive health and childbirth, Weight Gain, Cardiovascular, Body Mass Index, Endocrinology & Metabolism, Pregnancy, Clinical Research, Infant Mortality, Humans, Obesity, Conditions Affecting the Embryonic and Fetal Periods, Nutrition, 6.7 Physical, Pediatric, Prevention, Infant, Evaluation of treatments and therapeutic interventions, Prenatal Care, Perinatal Period - Conditions Originating in Perinatal Period, Newborn, Prevention of disease and conditions, Diet, Pregnancy Complications, Weight Reduction Programs, Treatment Outcome, Good Health and Well Being, 3.1 Primary prevention interventions to modify behaviours or promote wellbeing, Female
Abstract

ObjectiveThis analysis was focused on 1-year maternal and infant follow-up of a randomized trial that tested a weight management intervention conducted during pregnancy.MethodsOne hundred fourteen women with obesity (mean BMI 36.7 kg/m(2) ) were randomly assigned at a mean of 15 weeks gestation to a weight management intervention or usual care control condition. The intervention ended at delivery and resulted in less gestational weight gain and a lower proportion of large-for-gestational-age newborns among intervention compared with control participants. The primary outcome at 12 months postpartum was maternal weight. Secondary outcomes included infant weight-for-age and weight-for-length z-scores.ResultsAt 1 year, mothers in the intervention group weighed 96.3 ± 18.6 kg and those in the control group 99.7 ± 19.2 kg. There was no significant difference between groups in change in weight from randomization to 1 year postpartum (b = -0.47, 95% CI: -4.03 to 3.08). There was a significant main effect of group for infant weight-for-age z-scores (b = -0.40, 95% CI: -0.75 to -0.05) but not infant weight-for-length z-scores (b = -0.20, 95% CI: -0.59 to 0.20).ConclusionsA gestational weight management intervention did not influence maternal weight or infant weight-for-length at 1 year postpartum. Future studies may be warranted to determine whether extending prenatal interventions into the postpartum period would be beneficial for maternal and infant outcomes.

Published
2016

10. Screening for Lipid Disorders in Children and Adolescents: US Preventive Services Task Force Recommendation Statement

Author

US Preventive Services Task Force, Bibbins-Domingo, Kirsten, Grossman, David C, Curry, Susan J, Davidson, Karina W, Epling, John W, García, Francisco AR, Gillman, Matthew W, Kemper, Alex R, Krist, Alex H, Kurth, Ann E, Landefeld, C Seth, LeFevre, Michael, Mangione, Carol M, Owens, Douglas K, Phillips, William R, Phipps, Maureen G, Pignone, Michael P, and Siu, Albert L

Subjects
Adolescent, Advisory Committees, Cardiovascular, Risk Assessment, Medical and Health Sciences, US Preventive Services Task Force, Hyperlipoproteinemia Type II, Young Adult, Clinical Research, General & Internal Medicine, Preventive Health Services, Humans, Mass Screening, 2.1 Biological and endogenous factors, Aetiology, Child, Dyslipidemias, Pediatric, Prevention, Health Services, Atherosclerosis, Lipids, United States, Good Health and Well Being, Cardiovascular Diseases, Asymptomatic Diseases, Biomedical Imaging, lipids (amino acids, peptides, and proteins)
Abstract

ImportanceElevations in levels of total, low-density lipoprotein, and non-high-density lipoprotein cholesterol; lower levels of high-density lipoprotein cholesterol; and, to a lesser extent, elevated triglyceride levels are associated with risk of cardiovascular disease in adults.ObjectiveTo update the 2007 US Preventive Services Task Force (USPSTF) recommendation on screening for lipid disorders in children, adolescents, and young adults.Evidence reviewThe USPSTF reviewed the evidence on screening for lipid disorders in children and adolescents 20 years or younger--1 review focused on screening for heterozygous familial hypercholesterolemia, and 1 review focused on screening for multifactorial dyslipidemia.FindingsEvidence on the quantitative difference in diagnostic yield between universal and selective screening approaches, the effectiveness and harms of long-term treatment and the harms of screening, and the association between changes in intermediate outcomes and improvements in adult cardiovascular health outcomes are limited. Therefore, the USPSTF concludes that the balance of benefits and harms cannot be determined.Conclusions and recommendationThe USPSTF concludes that the current evidence is insufficient to assess the balance of benefits and harms of screening for lipid disorders in children and adolescents 20 years or younger. (I statement).

Published
2016

11. Screening for Colorectal Cancer US Preventive Services Task Force Recommendation Statement

Author

US Preventive Services Task Force, Bibbins-Domingo, Kirsten, Grossman, David C, Curry, Susan J, Davidson, Karina W, Epling, John W, García, Francisco AR, Gillman, Matthew W, Harper, Diane M, Kemper, Alex R, Krist, Alex H, Kurth, Ann E, Landefeld, C Seth, Mangione, Carol M, Owens, Douglas K, Phillips, William R, Phipps, Maureen G, Pignone, Michael P, and Siu, Albert L

Subjects
Aging, Advisory Committees, Risk Assessment, Medical and Health Sciences, US Preventive Services Task Force, Feces, Clinical Research, General & Internal Medicine, Preventive Health Services, Humans, Sigmoidoscopy, Aged, Cancer, screening and diagnosis, Prevention, Age Factors, DNA, Colonography, Colonoscopy, Middle Aged, Health Services, Immunohistochemistry, United States, Colo-Rectal Cancer, Detection, Good Health and Well Being, Occult Blood, 4.4 Population screening, Colorectal Neoplasms, Digestive Diseases, Septins, Computed Tomographic, 4.2 Evaluation of markers and technologies
Abstract

ImportanceColorectal cancer is the second leading cause of cancer death in the United States. In 2016, an estimated 134,000 persons will be diagnosed with the disease, and about 49,000 will die from it. Colorectal cancer is most frequently diagnosed among adults aged 65 to 74 years; the median age at death from colorectal cancer is 68 years.ObjectiveTo update the 2008 US Preventive Services Task Force (USPSTF) recommendation on screening for colorectal cancer.Evidence reviewThe USPSTF reviewed the evidence on the effectiveness of screening with colonoscopy, flexible sigmoidoscopy, computed tomography colonography, the guaiac-based fecal occult blood test, the fecal immunochemical test, the multitargeted stool DNA test, and the methylated SEPT9 DNA test in reducing the incidence of and mortality from colorectal cancer or all-cause mortality; the harms of these screening tests; and the test performance characteristics of these tests for detecting adenomatous polyps, advanced adenomas based on size, or both, as well as colorectal cancer. The USPSTF also commissioned a comparative modeling study to provide information on optimal starting and stopping ages and screening intervals across the different available screening methods.FindingsThe USPSTF concludes with high certainty that screening for colorectal cancer in average-risk, asymptomatic adults aged 50 to 75 years is of substantial net benefit. Multiple screening strategies are available to choose from, with different levels of evidence to support their effectiveness, as well as unique advantages and limitations, although there are no empirical data to demonstrate that any of the reviewed strategies provide a greater net benefit. Screening for colorectal cancer is a substantially underused preventive health strategy in the United States.Conclusions and recommendationsThe USPSTF recommends screening for colorectal cancer starting at age 50 years and continuing until age 75 years (A recommendation). The decision to screen for colorectal cancer in adults aged 76 to 85 years should be an individual one, taking into account the patient's overall health and prior screening history (C recommendation).

Published
2016

12. DNA Methylation in Newborns and Maternal Smoking in Pregnancy: Genome-wide Consortium Meta-analysis

Author

Joubert, Bonnie R, Felix, Janine F, Yousefi, Paul, Bakulski, Kelly M, Just, Allan C, Breton, Carrie, Reese, Sarah E, Markunas, Christina A, Richmond, Rebecca C, Xu, Cheng-Jian, Küpers, Leanne K, Oh, Sam S, Hoyo, Cathrine, Gruzieva, Olena, Söderhäll, Cilla, Salas, Lucas A, Baïz, Nour, Zhang, Hongmei, Lepeule, Johanna, Ruiz, Carlos, Ligthart, Symen, Wang, Tianyuan, Taylor, Jack A, Duijts, Liesbeth, Sharp, Gemma C, Jankipersadsing, Soesma A, Nilsen, Roy M, Vaez, Ahmad, Fallin, M Daniele, Hu, Donglei, Litonjua, Augusto A, Fuemmeler, Bernard F, Huen, Karen, Kere, Juha, Kull, Inger, Munthe-Kaas, Monica Cheng, Gehring, Ulrike, Bustamante, Mariona, Saurel-Coubizolles, Marie José, Quraishi, Bilal M, Ren, Jie, Tost, Jörg, Gonzalez, Juan R, Peters, Marjolein J, Håberg, Siri E, Xu, Zongli, van Meurs, Joyce B, Gaunt, Tom R, Kerkhof, Marjan, Corpeleijn, Eva, Feinberg, Andrew P, Eng, Celeste, Baccarelli, Andrea A, Benjamin Neelon, Sara E, Bradman, Asa, Merid, Simon Kebede, Bergström, Anna, Herceg, Zdenko, Hernandez-Vargas, Hector, Brunekreef, Bert, Pinart, Mariona, Heude, Barbara, Ewart, Susan, Yao, Jin, Lemonnier, Nathanaël, Franco, Oscar H, Wu, Michael C, Hofman, Albert, McArdle, Wendy, Van der Vlies, Pieter, Falahi, Fahimeh, Gillman, Matthew W, Barcellos, Lisa F, Kumar, Ashish, Wickman, Magnus, Guerra, Stefano, Charles, Marie-Aline, Holloway, John, Auffray, Charles, Tiemeier, Henning W, Smith, George Davey, Postma, Dirkje, Hivert, Marie-France, Eskenazi, Brenda, Vrijheid, Martine, Arshad, Hasan, Antó, Josep M, Dehghan, Abbas, Karmaus, Wilfried, Annesi-Maesano, Isabella, Sunyer, Jordi, Ghantous, Akram, Pershagen, Göran, Holland, Nina, Murphy, Susan K, DeMeo, Dawn L, Burchard, Esteban G, Ladd-Acosta, Christine, Snieder, Harold, and Nystad, Wenche

Subjects
Cleft Lip, Reproductive health and childbirth, Medical and Health Sciences, White People, Genetic, Pregnancy, Tobacco, Genetics, Humans, 2.2 Factors relating to the physical environment, 2.1 Biological and endogenous factors, Aetiology, Child, Preschool, Genetic Association Studies, Pediatric, Genetics & Heredity, Tobacco Smoke and Health, Prevention, Smoking, Human Genome, Chromosome Mapping, Infant, DNA Methylation, Biological Sciences, Newborn, Asthma, Cleft Palate, Good Health and Well Being, Respiratory, Female, Epigenesis
Abstract

Epigenetic modifications, including DNA methylation, represent a potential mechanism for environmental impacts on human disease. Maternal smoking in pregnancy remains an important public health problem that impacts child health in a myriad of ways and has potential lifelong consequences. The mechanisms are largely unknown, but epigenetics most likely plays a role. We formed the Pregnancy And Childhood Epigenetics (PACE) consortium and meta-analyzed, across 13 cohorts (n = 6,685), the association between maternal smoking in pregnancy and newborn blood DNA methylation at over 450,000 CpG sites (CpGs) by using the Illumina 450K BeadChip. Over 6,000 CpGs were differentially methylated in relation to maternal smoking at genome-wide statistical significance (false discovery rate, 5%), including 2,965 CpGs corresponding to 2,017 genes not previously related to smoking and methylation in either newborns or adults. Several genes are relevant to diseases that can be caused by maternal smoking (e.g., orofacial clefts and asthma) or adult smoking (e.g., certain cancers). A number of differentially methylated CpGs were associated with gene expression. We observed enrichment in pathways and processes critical to development. In older children (5 cohorts, n = 3,187), 100% of CpGs gave at least nominal levels of significance, far more than expected by chance (p value < 2.2× 10(-16)). Results were robust to different normalization methods used across studies and cell type adjustment. In this large scale meta-analysis of methylation data, we identified numerous loci involved in response to maternal smoking in pregnancy with persistence into later childhood and provide insights into mechanisms underlying effects of this important exposure.

Published
2016

14. Screening for Colorectal Cancer US Preventive Services Task Force Recommendation Statement

Author

Krist, Alex H., Gillman, Matthew W., Owens, Douglas K., Landefeld, C. Seth, Davidson, Karina W., Pignone, Michael P., Kurth, Ann E., Harper, Diane M., Bibbins-Domingo, Kirsten, Phillips, William R., Phipps, Maureen G., García, Francisco A.R., Grossman, David C., Mangione, Carol M., Siu, Albert L., Epling, John W., Curry, Susan J., and Kemper, Alex R.

Subjects
General & Internal Medicine, Medical and Health Sciences
Abstract

Clinical Review & Education US Preventive Services Task Force | RECOMMENDATION STATEMENT Screening for Colorectal Cancer US Preventive Services Task Force Recommendation Statement US Preventive Services Task Force IMPORTANCE Colorectal cancer is the second leading cause of cancer death in the United States. In 2016, an estimated 134 000 persons will be diagnosed with the disease, and about 49 000 will die from it. Colorectal cancer is most frequently diagnosed among adults aged 65 to 74 years; the median age at death from colorectal cancer is 73 years. OBJECTIVE To update the 2008 US Preventive Services Task Force (USPSTF) recommendation on screening for colorectal cancer. EVIDENCE REVIEW The USPSTF reviewed the evidence on the effectiveness of screening with colonoscopy, flexible sigmoidoscopy, computed tomography colonography, the guaiac-based fecal occult blood test, the fecal immunochemical test, the multitargeted stool DNA test, and the methylated SEPT9 DNA test in reducing the incidence of and mortality from colorectal cancer or all-cause mortality; the harms of these screening tests; and the test performance characteristics of these tests for detecting adenomatous polyps, advanced adenomas based on size, or both, as well as colorectal cancer. The USPSTF also commissioned a comparative modeling study to provide information on optimal starting and stopping ages and screening intervals across the different available screening methods. Viewpoint page 2519 and Editorial page 2529 Author Audio Interview at jama.com Related articles pages 2576 and 2595 and JAMA Patient Page pages 2635 and 2636 CME Quiz at jamanetworkcme.com Related articles at jamaoncology.com jamainternalmedicine.com FINDINGS The USPSTF concludes with high certainty that screening for colorectal cancer in average-risk, asymptomatic adults aged 50 to 75 years is of substantial net benefit. Multiple screening strategies are available to choose from, with different levels of evidence to support their effectiveness, as well as unique advantages and limitations, although there are no empirical data to demonstrate that any of the reviewed strategies provide a greater net benefit. Screening for colorectal cancer is a substantially underused preventive health strategy in the United States. CONCLUSIONS AND RECOMMENDATIONS The USPSTF recommends screening for colorectal cancer starting at age 50 years and continuing until age 75 years (A recommendation). The decision to screen for colorectal cancer in adults aged 76 to 85 years should be an individual one, taking into account the patient’s overall health and prior screening history (C recommendation). Corresponding Author: Kirsten Bibbins-Domingo, PhD, MD, MAS (chair@uspstf.net) JAMA. 2016;315(23):2564-2575. doi:10.1001/jama.2016.5989 Published online June 15, 2016. Last corrected on June 6, 2017. T he US Preventive Services Task Force (USPSTF) makes rec- ommendations about the effectiveness of specific preven- tive care services for patients without obvious related signs or symptoms. It bases its recommendations on the evidence of both the benefits and harms of the service and an assessment of the bal- ance. The USPSTF does not consider the costs of providing a ser- vice in this assessment. The USPSTF recognizes that clinical decisions involve more con- siderations than evidence alone. Clinicians should understand the evidence but individualize decision making to the specific patient or situation. Similarly, the USPSTF notes that policy and coverage decisions involve considerations in addition to the evidence of clini- cal benefits and harms. Author/Group Information: The USPSTF members are listed at the end of this article. Summary of Recommendations and Evidence The USPSTF recommends screening for colorectal cancer starting at age 50 years and continuing until age 75 years (A recommenda- tion) (Figure 1). The risks and benefits of different screening methods vary. See the Clinical Considerations section later in this article and the Table for details about screening strategies. The decision to screen for colorectal cancer in adults aged 76 to 85 years should be an individual one, taking into account the patient’s overall health and prior screening history (C recommendation). • Adults in this age group who have never been screened for colo- rectal cancer are more likely to benefit. JAMA June 21, 2016 Volume 315, Number 23 (Reprinted) Downloaded From: http://jamanetwork.com/ by a University of California - Los Angeles User on 09/06/2017 jama.com

Published
2016

15. A common variant mapping to CACNA1A is associated with susceptibility to exfoliation syndrome

Author

Aung, Tin, Ozaki, Mineo, Mizoguchi, Takanori, Allingham, R Rand, Li, Zheng, Haripriya, Aravind, Nakano, Satoko, Uebe, Steffen, Harder, Jeffrey M, Chan, Anita S Y, Lee, Mei Chin, Burdon, Kathryn P, Astakhov, Yury S, Abu-Amero, Khaled K, Zenteno, Juan C, Nilgün, Yildirim, Zarnowski, Tomasz, Pakravan, Mohammad, Safieh, Leen Abu, Jia, Liyun, Wang, Ya Xing, Williams, Susan, Paoli, Daniela, Schlottmann, Patricio G, Huang, Lulin, Sim, Kar Seng, Foo, Jia Nee, Nakano, Masakazu, Ikeda, Yoko, Kumar, Rajesh S, Ueno, Morio, Manabe, Shin-ichi, Hayashi, Ken, Kazama, Shigeyasu, Ideta, Ryuichi, Mori, Yosai, Miyata, Kazunori, Sugiyama, Kazuhisa, Higashide, Tomomi, Chihara, Etsuo, Inoue, Kenji, Ishiko, Satoshi, Yoshida, Akitoshi, Yanagi, Masahide, Kiuchi, Yoshiaki, Aihara, Makoto, Ohashi, Tsutomu, Sakurai, Toshiya, Sugimoto, Takako, Chuman, Hideki, Matsuda, Fumihiko, Yamashiro, Kenji, Gotoh, Norimoto, Miyake, Masahiro, Astakhov, Sergei Y, Osman, Essam A, Al-Obeidan, Saleh A, Owaidhah, Ohoud, Al-Jasim, Leyla, Al Shahwan, Sami, Fogarty, Rhys A, Leo, Paul, Yetkin, Yaz, Oguz, Çilingir, Kanavi, Mozhgan Rezaei, Beni, Afsaneh Nederi, Yazdani, Shahin, Akopov, Evgeny L, Toh, Kai-Yee, Howell, Gareth R, Orr, Andrew C, Goh, Yufen, Meah, Wee Yang, Peh, Su Qin, Kosior-Jarecka, Ewa, Lukasik, Urszula, Krumbiegel, Mandy, Vithana, Eranga N, Wong, Tien Yin, Liu, Yutao, Koch, Allison E Ashley, Challa, Pratap, Rautenbach, Robyn M, Mackey, David A, Hewitt, Alex W, Mitchell, Paul, Wang, Jie Jin, Ziskind, Ari, Carmichael, Trevor, Ramakrishnan, Rangappa, Narendran, Kalpana, Venkatesh, Rangaraj, Vijayan, Saravanan, Zhao, Peiquan, Chen, Xueyi, Guadarrama-Vallejo, Dalia, Cheng, Ching Yu, Perera, Shamira A, Husain, Rahat, Ho, Su-Ling, Welge-Luessen, Ulrich-Christoph, Mardin, Christian, Schloetzer-Schrehardt, Ursula, Hillmer, Axel M, Herms, Stefan, Moebus, Susanne, Nöthen, Markus M, Weisschuh, Nicole, Shetty, Rohit, Ghosh, Arkasubhra, Teo, Yik Ying, Brown, Matthew A, Lischinsky, Ignacio, Crowston, Jonathan G, Coote, Michael, Zhao, Bowen, Sang, Jinghong, Zhang, Nihong, You, Qisheng, Vysochinskaya, Vera, Founti, Panayiota, Chatzikyriakidou, Anthoula, Lambropoulos, Alexandros, Anastasopoulos, Eleftherios, Coleman, Anne L, Wilson, M Roy, Rhee, Douglas J, Kang, Jae Hee, May-Bolchakova, Inna, Heegaard, Steffen, Mori, Kazuhiko, Alward, Wallace L M, Jonas, Jost B, Xu, Liang, Liebmann, Jeffrey M, Chowbay, Balram, Schaeffeler, Elke, Schwab, Matthias, Lerner, Fabian, Wang, Ningli, Yang, Zhenglin, Frezzotti, Paolo, Kinoshita, Shigeru, Fingert, John H, Inatani, Masaru, Tashiro, Kei, Reis, André, Edward, Deepak P, Pasquale, Louis R, Kubota, Toshiaki, Wiggs, Janey L, Pasutto, Francesca, Topouzis, Fotis, Dubina, Michael, Craig, Jamie E, Yoshimura, Nagahisa, Sundaresan, Periasamy, John, Simon W M, Ritch, Robert, Hauser, Michael A, Khor, Chiea-Chuen, Rochtchina, Elena, Viswanathan, Ananth C, Wong, Tien Y, Xie, Jing, Sim, Xueling, Inouye, Michael, Holliday, Elizabeth G, Attia, John, Scott, Rodney J, Baird, Paul N, Donnelly, Peter, Barroso, Ines, Blackwell, Jenefer M, Bramon, Elvira, Casas, Juan P, Corvin, Aiden, Deloukas, Panos, Duncanson, Audrey, Jankowski, Janusz, Markus, Hugh S, Mathew, Christopher G, Palmer, Colin N A, Plomin, Robert, Rautanen, Anna, Sawcer, Stephen J, Trembath, Richard C, Wood, Nicholas W, Spencer, Chris C A, Band, Gavin, Bellenguez, Céline, Freeman, Colin, Hellenthal, Garrett, Giannoulatou, Eleni, Pirinen, Matti, Pearson, Richard, Strange, Amy, Su, Zhan, Vukcevic, Damjan, Langford, Cordelia, Hunt, Sarah E, Edkins, Sarah, Gwilliam, Rhian, Blackburn, Hannah, Bumpstead, Suzannah J, Dronov, Serge, Gillman, Matthew, Gray, Emma, Hammond, Naomi, Jayakumar, Alagurevathi, McCann, Owen T, Liddle, Jennifer, Potter, Simon C, Ravindrarajah, Radhi, Ricketts, Michelle, Waller, Matthew, Weston, Paul, Widaa, Sara, and Whittaker, Pamela

Subjects
Asian Continental Ancestry Group, Pseudoexfoliation syndrome, Medizin, Locus (genetics), Genome-wide association study, Biology, Inbred C57BL, Exfoliation Syndrome, Polymorphism, Single Nucleotide, Article, Mice, Animals, Calcium Channels, Case-Control Studies, Chromosome Mapping, Genetic Predisposition to Disease, Genome-Wide Association Study, Glaucoma, Open-Angle, HEK293 Cells, HeLa Cells, Humans, Japan, MCF-7 Cells, Mice, Inbred C57BL, Tumor Cells, Cultured, Genetics, Asian People, medicine, SNP, Allele, Polymorphism, Cultured, Case-control study, Glaucoma, Odds ratio, Single Nucleotide, medicine.disease, eye diseases, Tumor Cells, Open-Angle, Etiology
Abstract

Exfoliation syndrome (XFS) is the most common recognizable cause of open-angle glaucoma worldwide. To better understand the etiology of XFS, we conducted a genome-wide association study (GWAS) of 1,484 cases and 1,188 controls from Japan and followed up the most significant findings in a further 6,901 cases and 20,727 controls from 17 countries across 6 continents. We discovered a genome-wide significant association between a new locus (CACNA1A rs4926244) and increased susceptibility to XFS (odds ratio (OR) = 1.16, P = 3.36 × 10(-11)). Although we also confirmed overwhelming association at the LOXL1 locus, the key SNP marker (LOXL1 rs4886776) demonstrated allelic reversal depending on the ancestry group (Japanese: OR(A allele) = 9.87, P = 2.13 × 10(-217); non-Japanese: OR(A allele) = 0.49, P = 2.35 × 10(-31)). Our findings represent the first genetic locus outside of LOXL1 surpassing genome-wide significance for XFS and provide insight into the biology and pathogenesis of the disease.

Published
2014

16. Common variant at 16p11.2 conferring risk of psychosis

Author

Steinberg, S., de Jong, S., Sigurdsson, E., Murray, R., Corvin, A., Gill, M., Morris, D., O'Neill, F. A., Kendler, K., Riley, B., 2, Wellcome Trust Case Control Consortium, Craddock, N., Owen, M. J., Vassos, E., O'Donovan, M. C., Thorsteinsdottir, U., Kong, A., Ehrenreich, H., Carracedo, A., Golimbet, V., Andreassen, O. A., Børglum, A. D., Mors, O., Mortensen, P. B., Giegling, I., Werge, T., Ophoff, R. A., Nöthen, M. M., Rietschel, M., Cichon, S., Ruggeri, M., Tosato, S., Palotie, A., St Clair, D., Rujescu, D., Breuer, R., Collier, D. A., Stefansson, H., Stefansson, K., Donnelly, Peter, Barroso, Ines, Blackwell, Jenefer M, Bramon, Elvira, Brown, Matthew A, Casas, Juan P, Corvin, Aiden, Fraser, G., Deloukas, Panos, Duncanson, Audrey, Jankowski, Janusz, Markus, Hugh S, Mathew, Christopher G, Palmer, Colin N A, Plomin, Robert, Rautanen, Anna, Sawcer, Stephen J, Trembath, Richard C, Walker, N., Viswanathan, Ananth C, Wood, Nicholas W, Spencer, Chris C A, Band, Gavin, Bellenguez, Céline, Freeman, Colin, Hellenthal, Garrett, Giannoulatou, Eleni, Pirinen, Matti, Pearson, Richard, Melle, I., Strange, Amy, Su, Zhan, Vukcevic, Damjan, Langford, Cordelia, Hunt, Sarah E, Edkins, Sarah, Gwilliam, Rhian, Blackburn, Hannah, Djurovic, S., Bumpstead, Suzannah J, Dronov, Serge, Gillman, Matthew, Gray, Emma, Hammond, Naomi, Jayakumar, Alagurevathi, McCann, Owen T, Liddle, Jennifer, Potter, Simon C, Ravindrarajah, Radhi, Agartz, I., Ricketts, Michelle, Waller, Matthew, Weston, Paul, Widaa, Sara, Whittaker, Pamela, Tuulio-Henriksson, A., Mattheisen, M., Suvisaari, J., Lönnqvist, J., Paunio, T., Olsen, L., Hansen, T., Ingason, A., Pirinen, M., Strengman, E., GROUP, Hougaard, D. M., Costas, J., Orntoft, T., Didriksen, M., Hollegaard, M. V., Nordentoft, M., Abramova, L., Kaleda, V., Arrojo, M., Sanjuán, J., Arango, C., Etain, B., Demontis, D., Bellivier, F., Méary, A., Schürhoff, F., Szoke, A., Ribolsi, M., Magni, V., Siracusano, A., Sperling, S., Rossner, M., Christiansen, C., Jamain, S., Kiemeney, L. A., Franke, B., van den Berg, L. H., Veldink, J., Curran, S., Bolton, P., Poot, M., Staal, W., Rehnstrom, K., Kilpinen, H., Pietiläinen, O. P. H., Freitag, C. M., Meyer, J., Magnusson, P., Saemundsen, E., Martsenkovsky, I., Bikshaieva, I., Martsenkovska, I., Vashchenko, O., Raleva, M., Paketchieva, K., Lin, K., Stefanovski, B., Durmishi, N., Pejovic Milovancevic, M., Lecic Tosevski, D., Silagadze, T., Naneishvili, N., Mikeladze, N., Surguladze, S., Vincent, J. B., Farmer, A., Papiol, S., Mitchell, P. B., Wright, A., Schofield, P. R., Fullerton, J. M., Montgomery, G. W., Martin, N. G., Rubino, I. A., van Winkel, R., Kenis, G., De Hert, M., Huttenlocher, J., Réthelyi, J. M., Bitter, I., Terenius, L., Jönsson, E. G., Bakker, S., van Os, J., Jablensky, A., Leboyer, M., Bramon, E., Powell, J., deCODE Genet, IS-101 Reykjavik, Iceland Univ Calif Los Angeles, Ctr Neurobehav Genet, Los Angeles, CA USA Harvard Univ, Brigham & Womens Hosp, Sch Med, Channing Div Network Med, Boston, MA 02115 USA Univ Bonn, Inst Genom Math, Bonn, Germany Univ Bonn, Dept Genom, Life & Brain Ctr, Bonn, Germany CHUS, Galician Fdn Genom Med SERGAS, Santiago De Compostela, Spain Aarhus Univ, Dept Biomed, Aarhus, Denmark Aarhus Univ, iSEQ, Ctr Integrat Sequencing, Aarhus, Denmark Lundbeck Fdn Initiat Integrat Psychiat Res, iPSYCH, Aarhus, Denmark Fdn FondaMental, Creteil, France Hop Henri Mondor, INSERM, U955, F-94010 Creteil, France Univ Helsinki, Inst Mol Med Finland FIMM, Helsinki, Finland Inst Hlth & Welf, Publ Hlth Genom Unit, Helsinki, Finland Wellcome Trust Sanger Inst, Cambridge, England South London & Maudsley NHS Fdn Trust, NIHR Biomed Res Ctr Mental Hlth, Dept Neurosci, London, England Kings Coll London, London, England DFG Res Ctr Mol Physiol Brain CMPB, Gottingen, Germany Max Planck Inst Expt Med, Div Clin Neurosci, D-37075 Gottingen, Germany Univ Tubingen, Inst Human Genet, Dept Med Genet, Tubingen, Germany Natl Univ Hosp Reykjavik, Dept Psychiat, Reykjavik, Iceland Univ Iceland, Sch Med, Reykjavik, Iceland Kings Coll London, Inst Psychiat, Social Genet & Dev Psychiat Res Ctr, London, England Univ Munich, Dept Psychiat, Div Mol & Clin Neurobiol, D-80539 Munich, Germany Heidelberg Univ, Cent Inst Mental Hlth, Dept Genet Epidemiol Psychiat, Mannheim, Germany Univ Aberdeen, Dept Mental Hlth, Royal Cornhill Hosp, Aberdeen, Scotland Ravenscraig Hosp, Greenock, Scotland [Univ Oslo, Inst Clin Med, KG Jebsen Ctr Psychosis Res, Div Mental Hlth & Addict,Oslo Univ Hosp, Oslo, Norway Natl Inst Hlth & Welf, Dept Mental Hlth & Subst Abuse Serv, Helsinki, Finland Univ Helsinki, Dept Psychiat, SF-00180 Helsinki, Finland Univ Helsinki, Cent Hosp, Helsinki, Finland Natl Inst Hlth & Welf THL, Publ Hlth Genom Unit, Helsinki, Finland Univ Copenhagen, Mental Hlth Ctr Sct Hans, Inst Biol Psychiat, Roskilde, Denmark Univ Oxford, Wellcome Trust Ctr Human Genet, Oxford, England Univ Med Ctr Utrecht, Dept Med Genet, Utrecht, Netherlands Statens Serum Inst, Dept Clin Biochem Immunol & Genet, Sect Neonatal Screening & Hormones, DK-2300 Copenhagen, Denmark Aarhus Univ Hosp, Dept Mol Med, DK-8000 Aarhus, Denmark H Lundbeck & Co AS, Synapt Transmiss, Copenhagen, Denmark Copenhagen Univ Hosp, Psychiat Ctr Copenhagen, Copenhagen, Denmark Russian Acad Med Sci, Mental Hlth Res Ctr, Moscow 109801, Russia CHUS, Serv Psychiat, Santiago De Compostela, Spain Univ Valencia, Network Ctr Biomed Res Mental Hlth CIBERSAM, Unit Psychiat, Fac Med, Valencia, Spain Univ Complutense, Hosp Gen Univ Gregorio Maranon, IiSGM, CIBERSAM, E-28040 Madrid, Spain Hop H Mondor A Chenevier, AP HP, Creteil, France Univ Paris Est, Fac Med, Creteil, France Univ Roma Tor Vergata, Dept Neurosci, Sect Psychiat, Rome, Italy Max Planck Inst Expt Med, Dept Neurogenet, D-37075 Gottingen, Germany Nord Biosci, Herlev, Denmark Radboud Univ Nijmegen, Med Ctr, Dept Epidemiol & Biostat, NL-6525 ED Nijmegen, Netherlands Radboud Univ Nijmegen, Med Ctr, Dept Urol, NL-6525 ED Nijmegen, Netherlands Radboud Univ Nijmegen, Med Ctr, Dept Human Genet, NL-6525 ED Nijmegen, Netherlands Radboud Univ Nijmegen, Med Ctr, Dept Psychiat, Donders Inst Brain Cognit & Behav, NL-6525 ED Nijmegen, Netherlands Univ Med Ctr, Rudolf Magnus Inst Neurosci, Dept Neurol, Utrecht, Netherlands Kings Coll London, Inst Psychiat, Dept Child & Adolescent Psychiat, London, England Radboud Univ Nijmegen, Dept Cognit Neurosci, NL-6525 ED Nijmegen, Netherlands Goethe Univ Frankfurt, Dept Child & Adolescent Psychiat Psychosomat & Ps, D-60054 Frankfurt, Germany Univ Trier, Dept Neurobehav Genet, Trier, Germany Natl Univ Hosp Reykjavik, Dept Child & Adolescent Psychiat, Reykjavik, Iceland State Diagnost & Counseling Ctr, Kopavogur, Iceland Ukrainian Res Inst Social Forens Psychiat & Drug, Dept Child Adolescent Psychiat & Med Social Rehab, Kiev, Ukraine Univ Skopje, Dept Child & Adolescent Psychiat, Skopje, Macedonia Inst Mental Hlth, Belgrade, Serbia Univ Belgrade, Fac Med, Belgrade, Serbia Tbilisi State Med Univ TSMU, Dept Psychiat & Drug Addict, Tbilisi, Rep of Georgia Ilia State Univ, Social & Affect Neurosci Lab, Tbilisi, Rep of Georgia Ctr Addict & Mental Hlth CAMH, Mol Neuropsychiat & Dev Lab, Toronto, ON, Canada Prince Wales Hosp, Black Dog Inst, Randwick, NSW 2031, Australia Univ New S Wales, Sch Psychiat, Sydney, NSW, Australia Neurosci Res Australia, Sydney, NSW, Australia Univ New S Wales, Sch Med Sci, Sydney, NSW, Australia Queensland Inst Med Res, Brisbane, Qld 4006, Australia Catholic Univ Louvain, Univ Psychiat Ctr, Kortenberg, Belgium Maastricht Univ, European Grad Sch Neurosci EURON,Med Ctr, Sch Mental Hlth & Neurosci,Dept Psychiat & Psycho, South Limburg Mental Hlth Res & Teaching Network, Maastricht, Netherlands Semmelweis Univ, Dept Psychiat & Psychotherapy, H-1085 Budapest, Hungary Karolinska Hosp & Inst, HUBIN Project, Dept Clin Neurosci, Stockholm, Sweden Univ Med Ctr, Rudolf Magnus Inst Neurosci, Dept Psychiat, Utrecht, Netherlands Maastricht Univ, Dept Psychiat, Med Ctr, Maastricht, Netherlands Univ Western Australia, Graylands Hosp, CCRN, Perth, WA 6009, Australia UCL, Mental Hlth Sci Unit, London, England UCL, Inst Cognit Neurosci, London, England South London & Maudsley NHS Fdn Trust, NIHR Biomed Res Ctr Mental Hlth, Dept Psychosis Studies, London, England Trinity Coll Dublin, Sch Med, Neuropsychiat Genet Res Grp, Dublin, Ireland Queens Univ Belfast, Dept Psychiat, Belfast, Antrim, North Ireland Virginia Commonwealth Univ, Dept Human Genet, Richmond, VA USA Virginia Commonwealth Univ, Virginia Inst Psychiat & Behav Genet, Richmond, VA USA Virginia Commonwealth Univ, Dept Psychiat, Richmond, VA USA Cardiff Univ, Sch Med, Inst Psychol Med & Clin Neurosci, MRC Ctr Neuropsychiat Genet & Genom, Cardiff CF10 3AX, S Glam, Wales Univ Santiago de Compostela, Biomed Network Res Ctr Rare Dis CIBERER, Galician Fdn Genom Med, Genom Med Grp, Santiago De Compostela, Spain Aarhus Univ Hosp, Ctr Psychiat Res, Risskov, Denmark Aarhus Univ, Natl Ctr Register Based Res, Aarhus, Denmark German Ctr Neurodegenerat Disorders DZNE, Bonn, Germany Univ Bonn, Inst Human Genet, Bonn, Germany Inst Neurosci & Med INM 1, Julich, Germany Univ Verona, Sect Psychiat, I-37100 Verona, Italy Broad Inst MIT & Harvard, Program Med & Populat Genet & Genet Anal Platform, Cambridge, MA USA Univ Helsinki, Dept Med Genet, Helsinki, Finland Univ Cent Hosp, Helsinki, Finland Univ Halle Wittenberg, Dept Psychiat, D-06108 Halle, Germany Eli Lilly & Co Ltd, Erl Wood Manor, Windlesham, Surrey, England, Psychiatrie & Neuropsychologie, MUMC+: MA Psychiatrie (3), MUMC+: Hersen en Zenuw Centrum (3), and RS: MHeNs - R2 - Mental Health

Subjects
Oncology, Male, association, Bipolar disorder, cross-disorder, schizophrenia, 1p11.2, Bipolar Disorder, International Cooperation, Genome-wide association study, Disease, 0302 clinical medicine, Risk Factors, Epidemiology, Odds Ratio, Medicine, genetics [Schizophrenia], Oligonucleotide Array Sequence Analysis, Genetics, Aged, 80 and over, bipolar disorder, 0303 health sciences, Middle Aged, 16p11.2, 3. Good health, Europe, Psychiatry and Mental health, genetics [Chromosomes, Human, Pair 16], epidemiology [Bipolar Disorder], Urological cancers Radboud Institute for Health Sciences [Radboudumc 15], genetics [Polymorphism, Single Nucleotide], Female, Adult, medicine.medical_specialty, Psychosis, Genotype, complications [Bipolar Disorder], epidemiology [Schizophrenia], Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, Cellular and Molecular Neuroscience, Young Adult, complications [Schizophrenia], Internal medicine, mental disorders, Humans, Genetic Predisposition to Disease, ddc:610, Molecular Biology, Settore MED/25 - Psichiatria, 030304 developmental biology, Aged, Chromosome Aberrations, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], business.industry, Gene Expression Profiling, Odds ratio, medicine.disease, Schizophrenia, Autism, business, Body mass index, genetics [Bipolar Disorder], 030217 neurology & neurosurgery, Chromosomes, Human, Pair 16, Genome-Wide Association Study
Abstract

To access publisher's full text version of this article. Please click on the hyperlink in Additional Links field. Epidemiological and genetic data support the notion that schizophrenia and bipolar disorder share genetic risk factors. In our previous genome-wide association study, meta-analysis and follow-up (totaling as many as 18 206 cases and 42 536 controls), we identified four loci showing genome-wide significant association with schizophrenia. Here we consider a mixed schizophrenia and bipolar disorder (psychosis) phenotype (addition of 7469 bipolar disorder cases, 1535 schizophrenia cases, 333 other psychosis cases, 808 unaffected family members and 46 160 controls). Combined analysis reveals a novel variant at 16p11.2 showing genome-wide significant association (rs4583255[T]; odds ratio=1.08; P=6.6 × 10(-11)). The new variant is located within a 593-kb region that substantially increases risk of psychosis when duplicated. In line with the association of the duplication with reduced body mass index (BMI), rs4583255[T] is also associated with lower BMI (P=0.0039 in the public GIANT consortium data set; P=0.00047 in 22 651 additional Icelanders). National Institute of Mental Health N01 MH900001 MH074027 1U24MH081810 R01 MH078075 Eli Lilly and Company Pritzker Neuropsychiatric Disorders Research Fund L.L.C. Massachusetts General Hospital in Boston, MA (NIMH) 2N01MH080001-001 Wellcome Trust 076113 085475 075491/Z/04 085475/B/08/Z 085475/Z/08/Z Medical Research Council G0601030 Anthony P Monaco, PI, University of Oxford National Genome Research Network of the German Federal Ministry of Education and Research (BMBF) 01GS08144 01GS08147 Centre of Excellence for Complex Disease Genetics of the Academy of Finland 213506 129680 Biocentrum Helsinki Foundation Research Program for Molecular Medicine, Faculty of Medicine, University of Helsinki Stanley Medical Research Institute Danish Council for Strategic Research 2101-07-0059 H Lundbeck A/S; the Research Council of Norway 163070/V50 Danish Medical Research Council South-East Norway Health Authority 2004-123 Medical Research Council Ministerio de Sanidad y Consumo, Spain PI081522 Xunta de Galicia 08CSA005208PR Swedish Research Council Wellcome Trust Case Control Consortium 2 Max Planck Society; Saarland University T6 03 10 00-45 Netherlands Foundation for Brain Research (Hersenstichting) 2008(1).34 2006-037761 PIAP-GA-2008-218251 HEALTH-F2-2009-223423 HEALTH-F4-2009-242257 info:eu-repo/grantAgreement/EC/FP7/218251

Published
2014

17. Genetic comorbidities in Parkinson's disease

Author

Nalls, Mike A, Saad, Mohamad, Morris, Huw R, Mudanohwo, Ese, O'Sullivan, Sean S, Pearson, Justin, Perlmutter, Joel S, Pétursson, Hjörvar, Pollak, Pierre, Post, Bart, Potter, Simon, Ravina, Bernard, Revesz, Tamas, Williams, Nigel, Riess, Olaf, Rivadeneira, Fernando, Rizzu, Patrizia, Ryten, Mina, Sawcer, Stephen, Schapira, Anthony, Scheffer, Hans, Shaw, Karen, Shoulson, Ira, Sidransky, Ellen, Gasser, Thomas, Smith, Colin, Spencer, Chris C A, Stefánsson, Hreinn, Steinberg, Stacy, Stockton, Joanna D, Strange, Amy, Talbot, Kevin, Tanner, Carlie M, Tashakkori-Ghanbaria, Avazeh, Tison, François, Heutink, Peter, Trabzuni, Daniah, Traynor, Bryan J, Uitterlinden, André G, Velseboer, Daan, Vidailhet, Marie, Walker, Robert, van de Warrenburg, Bart, Wickremaratchi, Mirdhu, Williams-Gray, Caroline H, Wood, Nick, Winder-Rhodes, Sophie, Stefánsson, Kári, Martinez, Maria, Hardy, John, Brice, Alexis, Singleton, Andrew B, Wood, Nicholas W, Donnelly, Peter, Barroso, Ines, Blackwell, Jenefer M, Bramon, Elvira, Brown, Matthew A, Casas, Juan P, Corvin, Aiden, Deloukas, Panos, Duncanson, Audrey, Jankowski, Janusz, Markus, Hugh S, Mathew, Christopher G, Palmer, N. A., Plomin, Robert, Rautanen, Anna, Sawcer, Stephen J, Trembath, Richard C, Viswanathan, Ananth C, Band, Gavin, Bellenguez, Céline, Freeman, Colin, Hellenthal, Garrett, Giannoulatou, Eleni, Pirinen, Matti, Pearson, Richard, Su, Zhan, Vukcevic, Damjan, Consortium, International Parkinson's Disease Genomics, Langford, Cordelia, Hunt, Sarah E, Edkins, Sarah, Gwilliam, Rhian, Blackburn, Hannah, Bumpstead, Suzannah J, Dronov, Serge, Gillman, Matthew, Gray, Emma, Hammond, Naomi, 2, Wellcome Trust Case Control Consortium, Jayakumar, Alagurevathi, McCann, Owen T, Liddle, Jennifer, Potter, Simon C, Ravindrarajah, Radhi, Ricketts, Michelle, Waller, Matthew, Weston, Paul, Widaa, Sara, Whittaker, Pamela, Noyce, Alastair J, Consortium, North American Brain Expression, McCarthy, Mark I, Cookson, Mark R, Consortium, United Kingdom Brain Expression, Gibbs, J Raphael, Hernandez, Dena G, Dillman, Allissa, Nalls, Michael A, Zonderman, Alan B, Arepalli, Sampath, Ferrucci, Luigi, Johnson, Robert, Longo, Dan L, O'Brien, Richard, Nalls, Mike, Traynor, Bryan, Troncoso, Juan, van der Brug, Marcel, Zielke, Ronald H, Weale, Michael E, Ramasamy, Adaikalavan, Plagnol, Vincent, Walker, Rober, Sharma, Manu, Sheerin, Una-Marie, Simón-Sánchez, Javier, Schulte, Claudia, Keller, Margaux F, Lesage, Suzanne, Sveinbjörnsdóttir, Sigurlaug, Barker, Roger, Ben-Shlomo, Yoav, Berendse, Henk W, Berg, Daniela, Bhatia, Kailash, de Bie, Rob M A, Biffi, Alessandro, Schrag, Anette, Bloem, Bas, Bochdanovits, Zoltan, Bonin, Michael, Bras, Jose M, Brockmann, Kathrin, Brooks, Janet, Burn, David J, Charlesworth, Gavin, Chen, Honglei, Chinnery, Patrick F, Bestwick, Jonathan P, Chong, Sean, Clarke, Carl E, Cooper, J Mark, Corvol, Jean Christophe, Counsell, Carl, Damier, Philippe, Dartigues, Jean-François, Deuschl, Günther, Dexter, David T, van Dijk, Karin D, Durif, Frank, Dürr, Alexandra, Evans, Jonathan R, Foltynie, Thomas, Gao, Jianjun, Gardner, Michelle, Goate, Alison, Guerreiro, Rita, Gústafsson, Ómar, Harris, Clare, van Hilten, Jacobus J, Hofman, Albert, Hollenbeck, Albert, Holton, Janice, Hu, Michele, Huang, Xuemei, Huber, Heiko, Hudson, Gavin, Huttenlocher, Johanna, Illig, Thomas, Jónsson, Pálmi V, Lambert, Jean-Charles, Lees, Andrew, Lichtner, Peter, Limousin, Patricia, Lopez, Grisel, Lorenz, Delia, McNeill, Alisdair, Moorby, Catriona, Moore, Matthew, Morrison, Karen E, ANS - Amsterdam Neuroscience, Neurology, Graduate School, and Erasmus MC other

Subjects
genetics [Crohn Disease], epidemiology [Schizophrenia], Single-nucleotide polymorphism, Genome-wide association study, Disease, Comorbidity, Biology, Bioinformatics, Inflammatory bowel disease, Polymorphism, Single Nucleotide, Crohn Disease, genetics [Parkinson Disease], Risk Factors, ddc:570, Mendelian randomization, mental disorders, Genetics, medicine, Humans, Genetic Predisposition to Disease, genetics [Schizophrenia], Molecular Biology, GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries), Genetics (clinical), Genetic association, epidemiology [Crohn Disease], Association Studies Articles, Parkinson Disease, General Medicine, DNA Methylation, medicine.disease, Disorders of movement Donders Center for Medical Neuroscience [Radboudumc 3], 3. Good health, Schizophrenia, CpG Islands, epidemiology [Parkinson Disease], Genome-Wide Association Study
Abstract

Parkinson's disease (PD) has a number of known genetic risk factors. Clinical and epidemiological studies have suggested the existence of intermediate factors that may be associated with additional risk of PD. We construct genetic risk profiles for additional epidemiological and clinical factors using known genome-wide association studies (GWAS) loci related to these specific phenotypes to estimate genetic comorbidity in a systematic review. We identify genetic risk profiles based on GWAS variants associated with schizophrenia and Crohn's disease as significantly associated with risk of PD. Conditional analyses adjusting for SNPs near loci associated with PD and schizophrenia or PD and Crohn's disease suggest that spatially overlapping loci associated with schizophrenia and PD account for most of the shared comorbidity, while variation outside of known proximal loci shared by PD and Crohn's disease accounts for their shared genetic comorbidity. We examine brain methylation and expression signatures proximal to schizophrenia and Crohn's disease loci to infer functional changes in the brain associated with the variants contributing to genetic comorbidity. We compare our results with a systematic review of epidemiological literature, while the findings are dissimilar to a degree; marginal genetic associations corroborate the directionality of associations across genetic and epidemiological data. We show a strong genetically defined level of comorbidity between PD and Crohn's disease as well as between PD and schizophrenia, with likely functional consequences of associated variants occurring in brain.

Published
2014

18. Prenatal Exposure to Air Pollution and Newborn Blood Pressure

Author

Oken Emily, Schwartz Joel D., Zanobetti Antonella, Koutrakis Petros, Rifas-Shiman Sheryl, Melley Steven, Mittleman Murray A., Gold Diane R., Coull Brent A., Gillman Matthew, and van Rossem Lenie

Subjects
Pollution, Ambient air pollution, business.industry, media_common.quotation_subject, Air pollution, medicine.disease_cause, Newborn Blood Pressure, Blood pressure, Environmental health, General Earth and Planetary Sciences, Gestation, Medicine, business, Prenatal exposure, General Environmental Science, media_common
Abstract

Background: Air pollution is associated with blood pressure (BP) in adults. However, little is known about its influence on newborns, whose mothers may be exposed to pollution during gestation, a c...

Published
2013

19. Using genome-wide complex trait analysis to quantify 'missing heritability' in Parkinson's disease

Author

Keller, Margaux F, Saad, Mohamad, Schulte, Claudia, Limousin, Patricia, Lopez, Grisel, Lorenz, Delia, McNeill, Alisdair, Moorby, Catriona, Moore, Matthew, Morris, Huw R, Morrison, Karen E, Mudanohwo, Ese, O'Sullivan, Sean S, Moskvina, Valentina, Pearson, Justin, Perlmutter, Joel S, Pétursson, Hjörvar, Pollak, Pierre, Post, Bart, Potter, Simon, Ravina, Bernard, Revesz, Tamas, Riess, Olaf, Rivadeneira, Fernando, Durr, Alexandra, Rizzu, Patrizia, Ryten, Mina, Sawcer, Stephen, Schapira, Anthony, Scheffer, Hans, Shaw, Karen, Shoulson, Ira, Sidransky, Ellen, Smith, Colin, Spencer, Chris C A, Holmans, Peter, Stefánsson, Hreinn, Steinberg, Stacy, Stockton, Joanna D, Strange, Amy, Talbot, Kevin, Tanner, Carlie M, Tashakkori-Ghanbaria, Avazeh, Tison, François, Trabzuni, Daniah, Traynor, Bryan J, Kilarski, Laura L, Uitterlinden, André G, Velseboer, Daan, Vidailhet, Marie, Walker, Robert, van de Warrenburg, Bart, Wickremaratchi, Mirdhu, Williams, Nigel, Williams-Gray, Caroline H, Winder-Rhodes, Sophie, Stefánsson, Kári, Guerreiro, Rita, Martinez, Maria, Sabatier, Paul, Hardy, John, Brice, Alexis, Singleton, Andrew B, Wood, Nicholas W, Donnelly, Peter, Barroso, Ines, Blackwell, Jenefer M, Bramon, Elvira, Hernandez, Dena G, Brown, Matthew A, Casas, Juan P, Corvin, Aiden, Deloukas, Panos, Duncanson, Audrey, Jankowski, Janusz, Markus, Hugh S, Mathew, Christopher G, Palmer, Colin N A, Plomin, Robert, Rautanen, Anna, Sawcer, Stephen J, Trembath, Richard C, Viswanathan, Ananth C, Band, Gavin, Bellenguez, Céline, Freeman, Colin, Hellenthal, Garrett, Ylikotila, Pauli, Giannoulatou, Eleni, Pirinen, Matti, Pearson, Richard, Su, Zhan, Vukcevic, Damjan, Langford, Cordelia, Hunt, Sarah E, Edkins, Sarah, Gwilliam, Rhian, Blackburn, Hannah, Bumpstead, Suzannah J, Dronov, Serge, Gillman, Matthew, Gray, Emma, Hammond, Naomi, Jayakumar, Alagurevathi, McCann, Owen T, Liddle, Jennifer, Bras, Jose, Majamaa, Kari, Potter, Simon C, Ravindrarajah, Radhi, Ricketts, Michelle, Waller, Matthew, Weston, Paul, Widaa, Sara, Whittaker, Pamela, Gasser, Thomas, Heutink, Peter, Nalls, Michael A, Bettella, Francesco, Consortium, International Parkinson's Disease Genomics, 2, Wellcome Trust Case Control Consortium, Plagnol, Vincent, Sheerin, Una-Marie, Simón-Sánchez, Javier, Lesage, Suzanne, Sveinbjörnsdóttir, Sigurlaug, Nicolaou, Nayia, Arepalli, Sampath, Ben-Shlomo, Yoav, Berendse, Henk W, Berg, Daniela, Bhatia, Kailash, de Bie, Rob M A, Biffi, Alessandro, Bloem, Bas, Bochdanovits, Zoltan, Bonin, Michael, Brockmann, Kathrin, Brooks, Janet, Burn, David J, Charlesworth, Gavin, Chen, Honglei, Chinnery, Patrick F, Chong, Sean, Clarke, Carl E, Cookson, Mark R, Mittag, Florian, Cooper, J Mark, Corvol, Jean Christophe, Counsell, Carl, Damier, Philippe, Dartigues, Jean-François, Segalen, Victor, Deuschl, Günther, Dexter, David T, van Dijk, Karin D, Büchel, Finja, Dillman, Allissa, Durif, Frank, Montpied, Gabriel, Evans, Jonathan R, Foltynie, Thomas, Gao, Jianjun, Gardner, Michelle, Gibbs, J Raphael, Goate, Alison, Sharma, Manu, Gústafsson, Omar, Harris, Clare, van Hilten, Jacobus J, Hofman, Albert, Hollenbeck, Albert, Holton, Janice, Hu, Michele, Huang, Xuemei, Huber, Heiko, Hudson, Gavin, Huttenlocher, Johanna, Illig, Thomas, Jónsson, Pálmi V, Lambert, Jean-Charles, Lees, Andrew, Lichtner, Peter, ANS - Amsterdam Neuroscience, Neurology, ACS - Amsterdam Cardiovascular Sciences, Graduate School, Human genetics, and NCA - Neurodegeneration

Subjects
Adult, Male, medicine.medical_specialty, Multifactorial Inheritance, Parkinson's disease, Functional Neurogenomics Human Movement & Fatigue [DCN 2], Single-nucleotide polymorphism, Genome-wide association study, Quantitative trait locus, Biology, Genome, White People, 03 medical and health sciences, Quantitative Trait, Heritable, 0302 clinical medicine, genetics [Parkinson Disease], Missing heritability problem, Molecular genetics, ddc:570, medicine, Genetics, Humans, Genetic Predisposition to Disease, Molecular Biology, Genetics (clinical), Aged, 030304 developmental biology, Genetic association, Aged, 80 and over, 0303 health sciences, Association Studies Articles, Genetic Variation, Family aggregation, Parkinson Disease, General Medicine, Middle Aged, Heritability, medicine.disease, Corrigenda, 3. Good health, genetics [European Continental Ancestry Group], Human Movement & Fatigue [DCN MP - Plasticity and memory NCEBP 10], Female, Trait analysis, 030217 neurology & neurosurgery, Imputation (genetics), Genome-Wide Association Study
Abstract

Contains fulltext : 110130.pdf (Publisher’s version ) (Closed access) Genome-wide association studies (GWASs) have been successful at identifying single-nucleotide polymorphisms (SNPs) highly associated with common traits; however, a great deal of the heritable variation associated with common traits remains unaccounted for within the genome. Genome-wide complex trait analysis (GCTA) is a statistical method that applies a linear mixed model to estimate phenotypic variance of complex traits explained by genome-wide SNPs, including those not associated with the trait in a GWAS. We applied GCTA to 8 cohorts containing 7096 case and 19 455 control individuals of European ancestry in order to examine the missing heritability present in Parkinson's disease (PD). We meta-analyzed our initial results to produce robust heritability estimates for PD types across cohorts. Our results identify 27% (95% CI 17-38, P = 8.08E - 08) phenotypic variance associated with all types of PD, 15% (95% CI -0.2 to 33, P = 0.09) phenotypic variance associated with early-onset PD and 31% (95% CI 17-44, P = 1.34E - 05) phenotypic variance associated with late-onset PD. This is a substantial increase from the genetic variance identified by top GWAS hits alone (between 3 and 5%) and indicates there are substantially more risk loci to be identified. Our results suggest that although GWASs are a useful tool in identifying the most common variants associated with complex disease, a great deal of common variants of small effect remain to be discovered.

Published
2012

23. Additional file 4: of Development and testing of a novel survey to assess Stakeholder-driven Community Diffusion of childhood obesity prevention efforts

Author

Ariella Korn, Hennessy, Erin, Hammond, Ross, Allender, Steven, Gillman, Matthew, Kasman, Matt, McGlashan, Jaimie, Millar, Lynne, Brynle Owen, Pachucki, Mark, Swinburn, Boyd, Tovar, Alison, and Economos, Christina

Subjects
3. Good health
Abstract

Table S3C1-C2. Phase 3 prospective per-item knowledge and engagement reliability results (nâ =â 13 paired responses). Data from test-retest surveys administered online two weeks apart in May 2016: members of the SEA Change and GenR8 Change coalitions in Victoria, Australia. (DOCX 28 kb)

24. Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data

Author

Romagnoni, Alberto, Jégou, Simon, Van Steen, Kristel, Wainrib, Gilles, Hugot, Jean-Pierre, Peyrin-Biroulet, Laurent, Chamaillard, Mathias, Colombel, Jean-Frederick, Cottone, Mario, D’Amato, Mauro, D’Incà, Renata, Halfvarson, Jonas, Henderson, Paul, Karban, Amir, Kennedy, Nicholas A., Khan, Mohammed Azam, Lémann, Marc, Levine, Arie, Massey, Dunecan, Milla, Monica, Ng, Sok Meng Evelyn, Oikonomou, Ioannis, Peeters, Harald, Proctor, Deborah D., Rahier, Jean-Francois, Rutgeerts, Paul, Seibold, Frank, Stronati, Laura, Taylor, Kirstin M., Törkvist, Leif, Ublick, Kullak, Van Limbergen, Johan, Van Gossum, Andre, Vatn, Morten H., Zhang, Hu, Zhang, Wei, Andrews, Jane M., Bampton, Peter A., Barclay, Murray, Florin, Timothy H., Gearry, Richard, Krishnaprasad, Krupa, Lawrance, Ian C., Mahy, Gillian, Montgomery, Grant W., Radford-Smith, Graham, Roberts, Rebecca L., Simms, Lisa A., Hanigan, Katherine, Croft, Anthony, Amininijad, Leila, Cleynen, Isabelle, Dewit, Olivier, Franchimont, Denis, Georges, Michel, Laukens, Debby, Theatre, Emilie, Van Gossum, André, Vermeire, Severine, Aumais, Guy, Baidoo, Leonard, Barrie, Arthur M., Beck, Karen, Bernard, Edmond-Jean, Binion, David G., Bitton, Alain, Brant, Steve R., Cho, Judy H., Cohen, Albert, Croitoru, Kenneth, Daly, Mark J., Datta, Lisa W., Deslandres, Colette, Duerr, Richard H., Dutridge, Debra, Ferguson, John, Fultz, Joann, Goyette, Philippe, Greenberg, Gordon R., Haritunians, Talin, Jobin, Gilles, Katz, Seymour, Lahaie, Raymond G., McGovern, Dermot P., Nelson, Linda, Ng, Sok Meng, Ning, Kaida, Paré, Pierre, Regueiro, Miguel D., Rioux, John D., Ruggiero, Elizabeth, Schumm, L. Philip, Schwartz, Marc, Scott, Regan, Sharma, Yashoda, Silverberg, Mark S., Spears, Denise, Steinhart, A. Hillary, Stempak, Joanne M., Swoger, Jason M., Tsagarelis, Constantina, Zhang, Clarence, Zhao, Hongyu, Aerts, Jan, Ahmad, Tariq, Arbury, Hazel, Attwood, Anthony, Auton, Adam, Ball, Stephen G., Balmforth, Anthony J., Barnes, Chris, Barrett, Jeffrey C., Barroso, Inês, Barton, Anne, Bennett, Amanda J., Bhaskar, Sanjeev, Blaszczyk, Katarzyna, Bowes, John, Brand, Oliver J., Braund, Peter S., Bredin, Francesca, Breen, Gerome, Brown, Morris J., Bruce, Ian N., Bull, Jaswinder, Burren, Oliver S., Burton, John, Byrnes, Jake, Caesar, Sian, Cardin, Niall, Clee, Chris M., Coffey, Alison J., MC Connell, John, Conrad, Donald F., Cooper, Jason D., Dominiczak, Anna F., Downes, Kate, Drummond, Hazel E., Dudakia, Darshna, Dunham, Andrew, Ebbs, Bernadette, Eccles, Diana, Edkins, Sarah, Edwards, Cathryn, Elliot, Anna, Emery, Paul, Evans, David M., Evans, Gareth, Eyre, Steve, Farmer, Anne, Ferrier, I. Nicol, Flynn, Edward, Forbes, Alistair, Forty, Liz, Franklyn, Jayne A., Frayling, Timothy M., Freathy, Rachel M., Giannoulatou, Eleni, Gibbs, Polly, Gilbert, Paul, Gordon-Smith, Katherine, Gray, Emma, Green, Elaine, Groves, Chris J., Grozeva, Detelina, Gwilliam, Rhian, Hall, Anita, Hammond, Naomi, Hardy, Matt, Harrison, Pile, Hassanali, Neelam, Hebaishi, Husam, Hines, Sarah, Hinks, Anne, Hitman, Graham A., Hocking, Lynne, Holmes, Chris, Howard, Eleanor, Howard, Philip, Howson, Joanna M. M., Hughes, Debbie, Hunt, Sarah, Isaacs, John D., Jain, Mahim, Jewell, Derek P., Johnson, Toby, Jolley, Jennifer D., Jones, Ian R., Jones, Lisa A., Kirov, George, Langford, Cordelia F., Lango-Allen, Hana, Lathrop, G. Mark, Lee, James, Lee, Kate L., Lees, Charlie, Lewis, Kevin, Lindgren, Cecilia M., Maisuria-Armer, Meeta, Maller, Julian, Mansfield, John, Marchini, Jonathan L., Martin, Paul, Massey, Dunecan CO, McArdle, Wendy L., McGuffin, Peter, McLay, Kirsten E., McVean, Gil, Mentzer, Alex, Mimmack, Michael L., Morgan, Ann E., Morris, Andrew P., Mowat, Craig, Munroe, Patricia B., Myers, Simon, Newman, William, Nimmo, Elaine R., O’Donovan, Michael C., Onipinla, Abiodun, Ovington, Nigel R., Owen, Michael J., Palin, Kimmo, Palotie, Aarno, Parnell, Kirstie, Pearson, Richard, Pernet, David, Perry, John RB, Phillips, Anne, Plagnol, Vincent, Prescott, Natalie J., Prokopenko, Inga, Quail, Michael A., Rafelt, Suzanne, Rayner, Nigel W., Reid, David M., Renwick, Anthony, Ring, Susan M., Robertson, Neil, Robson, Samuel, Russell, Ellie, Clair, David St, Sambrook, Jennifer G., Sanderson, Jeremy D., Sawcer, Stephen J., Schuilenburg, Helen, Scott, Carol E., Scott, Richard, Seal, Sheila, Shaw-Hawkins, Sue, Shields, Beverley M., Simmonds, Matthew J., Smyth, Debbie J., Somaskantharajah, Elilan, Spanova, Katarina, Steer, Sophia, Stephens, Jonathan, Stevens, Helen E., Stirrups, Kathy, Stone, Millicent A., Strachan, David P., Su, Zhan, Symmons, Deborah P. M., Thompson, John R., Thomson, Wendy, Tobin, Martin D., Travers, Mary E., Turnbull, Clare, Vukcevic, Damjan, Wain, Louise V., Walker, Mark, Walker, Neil M., Wallace, Chris, Warren-Perry, Margaret, Watkins, Nicholas A., Webster, John, Weedon, Michael N., Wilson, Anthony G., Woodburn, Matthew, Wordsworth, B. Paul, Yau, Chris, Young, Allan H., Zeggini, Eleftheria, Brown, Matthew A., Burton, Paul R., Caulfield, Mark J., Compston, Alastair, Farrall, Martin, Gough, Stephen C. L., Hall, Alistair S., Hattersley, Andrew T., Hill, Adrian V. S., Mathew, Christopher G., Pembrey, Marcus, Satsangi, Jack, Stratton, Michael R., Worthington, Jane, Hurles, Matthew E., Duncanson, Audrey, Ouwehand, Willem H., Parkes, Miles, Rahman, Nazneen, Todd, John A., Samani, Nilesh J., Kwiatkowski, Dominic P., McCarthy, Mark I., Craddock, Nick, Deloukas, Panos, Donnelly, Peter, Blackwell, Jenefer M., Bramon, Elvira, Casas, Juan P., Corvin, Aiden, Jankowski, Janusz, Markus, Hugh S., Palmer, Colin NA, Plomin, Robert, Rautanen, Anna, Trembath, Richard C., Viswanathan, Ananth C., Wood, Nicholas W., Spencer, Chris C. A., Band, Gavin, Bellenguez, Céline, Freeman, Colin, Hellenthal, Garrett, Pirinen, Matti, Strange, Amy, Blackburn, Hannah, Bumpstead, Suzannah J., Dronov, Serge, Gillman, Matthew, Jayakumar, Alagurevathi, McCann, Owen T., Liddle, Jennifer, Potter, Simon C., Ravindrarajah, Radhi, Ricketts, Michelle, Waller, Matthew, Weston, Paul, Widaa, Sara, and Whittaker, Pamela

Subjects
692/4020/1503/257/1402, 45, 692/308/2056, 45/43, article, 129, 3. Good health
Abstract

Crohn Disease (CD) is a complex genetic disorder for which more than 140 genes have been identified using genome wide association studies (GWAS). However, the genetic architecture of the trait remains largely unknown. The recent development of machine learning (ML) approaches incited us to apply them to classify healthy and diseased people according to their genomic information. The Immunochip dataset containing 18,227 CD patients and 34,050 healthy controls enrolled and genotyped by the international Inflammatory Bowel Disease genetic consortium (IIBDGC) has been re-analyzed using a set of ML methods: penalized logistic regression (LR), gradient boosted trees (GBT) and artificial neural networks (NN). The main score used to compare the methods was the Area Under the ROC Curve (AUC) statistics. The impact of quality control (QC), imputing and coding methods on LR results showed that QC methods and imputation of missing genotypes may artificially increase the scores. At the opposite, neither the patient/control ratio nor marker preselection or coding strategies significantly affected the results. LR methods, including Lasso, Ridge and ElasticNet provided similar results with a maximum AUC of 0.80. GBT methods like XGBoost, LightGBM and CatBoost, together with dense NN with one or more hidden layers, provided similar AUC values, suggesting limited epistatic effects in the genetic architecture of the trait. ML methods detected near all the genetic variants previously identified by GWAS among the best predictors plus additional predictors with lower effects. The robustness and complementarity of the different methods are also studied. Compared to LR, non-linear models such as GBT or NN may provide robust complementary approaches to identify and classify genetic markers.

26. Additional file 4: of Development and testing of a novel survey to assess Stakeholder-driven Community Diffusion of childhood obesity prevention efforts

Author

Ariella Korn, Hennessy, Erin, Hammond, Ross, Allender, Steven, Gillman, Matthew, Kasman, Matt, McGlashan, Jaimie, Millar, Lynne, Brynle Owen, Pachucki, Mark, Swinburn, Boyd, Tovar, Alison, and Economos, Christina

Subjects
3. Good health
Abstract

Table S3C1-C2. Phase 3 prospective per-item knowledge and engagement reliability results (nâ =â 13 paired responses). Data from test-retest surveys administered online two weeks apart in May 2016: members of the SEA Change and GenR8 Change coalitions in Victoria, Australia. (DOCX 28 kb)

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