Patrick Turley

ORCID: 0000-0003-3643-8605
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About
Contact & Profiles
Research Areas
  • Genetic Associations and Epidemiology
  • Genetic Mapping and Diversity in Plants and Animals
  • Genetic and phenotypic traits in livestock
  • Intergenerational and Educational Inequality Studies
  • Birth, Development, and Health
  • Cognitive Abilities and Testing
  • Genetics and Neurodevelopmental Disorders
  • Global Health Care Issues
  • Autism Spectrum Disorder Research
  • Nutrition, Genetics, and Disease
  • Attention Deficit Hyperactivity Disorder
  • Bioinformatics and Genomic Networks
  • Assisted Reproductive Technology and Twin Pregnancy
  • Dental Implant Techniques and Outcomes
  • Reproductive Health and Technologies
  • Orthodontics and Dentofacial Orthopedics
  • Dental Education, Practice, Research
  • BRCA gene mutations in cancer
  • Temporomandibular Joint Disorders
  • Genomics and Rare Diseases
  • dental development and anomalies
  • Obesity, Physical Activity, Diet
  • Prenatal Screening and Diagnostics
  • demographic modeling and climate adaptation
  • Medical and Biological Sciences

University of Southern California
2018-2025

National Bureau of Economic Research
2019-2024

University of California, Los Angeles
1983-2024

New York University
2021-2024

Massachusetts General Hospital
2016-2023

Harvard University
2015-2023

Broad Institute
2016-2023

Southern California University for Professional Studies
2021-2023

Geisinger Health System
2021

Brigham and Women's Hospital
2021

Verneri Anttila Brendan Bulik‐Sullivan Hilary K. Finucane Raymond K. Walters José Brás and 95 more Laramie E. Duncan Valentina Escott‐Price Guido J. Falcone Padhraig Gormley Rainer Malik Nikolaos A. Patsopoulos Stephan Ripke Zhi Wei Dongmei Yu Phil H. Lee Patrick Turley Benjamin Grenier‐Boley Vincent Chouraki Yoichiro Kamatani Claudine Berr Luc Letenneur Didier Hannequin Philippe Amouyel Anne Boland Jean‐François Deleuze Emmanuelle Duron Badri N. Vardarajan Christiane Reitz Alison Goate Matthew J. Huentelman M. Ilyas Kamboh Eric B. Larson Ekaterina Rogaeva Peter St George‐Hyslop Hákon Hákonarson Walter A. Kukull Lindsay A. Farrer Lisa L. Barnes Thomas G. Beach F. Yesim Demirci Elizabeth Head Christine M. Hulette Gregory A. Jicha John S.K. Kauwe Jonathan Kaye James B. Leverenz Allan I. Levey Andrew P. Lieberman V. Shane Pankratz Wayne W. Poon Joseph F. Quinn Andrew J. Saykin Lon S. Schneider Amanda Smith Joshua A. Sonnen Robert A. Stern Vivianna M. Van Deerlin Linda J. Van Eldik Denise Harold Giancarlo Russo David C. Rubinsztein Antony Bayer Magda Tsolaki Petroula Proitsi Nick C. Fox Harald Hampel Michael J. Owen Simon Mead Peter Passmore Kevin Morgan Markus M. Nöthen Jonathan M. Schott Martin N. Rossor Michelle K. Lupton Per Hoffmann Johannes Kornhuber Brian Lawlor Andrew McQuillin Ammar Al‐Chalabi Joshua C. Bis Agustı́n Ruiz Merçé Boada Sudha Seshadri Alexa S. Beiser Kenneth Rice Sven J. van der Lee Philip L. De Jager Daniel H. Geschwind Markus J. Riemenschneider Steffi G. Riedel‐Heller Jerome I. Rotter Gerhard Ransmayr Bradley T. Hyman Carlos Cruchaga Montserrat Alegret Bendik S. Winsvold Priit Palta Kai-How Farh Ester Cuenca-León Nicholas A. Furlotte

Disorders of the brain can exhibit considerable epidemiological comorbidity and often share symptoms, provoking debate about their etiologic overlap. We quantified genetic sharing 25 disorders from genome-wide association studies 265,218 patients 784,643 control participants assessed relationship to 17 phenotypes 1,191,588 individuals. Psychiatric common variant risk, whereas neurological appear more distinct one another psychiatric disorders. also identified significant between a number...

10.1126/science.aap8757 article EN Science 2018-06-21
Phil H. Lee Verneri Anttila Hyejung Won Yen‐Chen Anne Feng Jacob Rosenthal and 95 more Zhaozhong Zhu Elliot M. Tucker‐Drob Michel G. Nivard Andrew D. Grotzinger Daniëlle Posthuma Meg M.-J. Wang Dongmei Yu Eli A. Stahl Raymond K. Walters Richard Anney Laramie E. Duncan Tian Ge Rolf Adolfsson Tobias Banaschewski Síntia Belangero Edwin H. Cook Giovanni Coppola Eske M. Derks Pieter J. Hoekstra Jaakko Kaprio Anna Keski‐Rahkonen George Kirov Henry R. Kranzler Jurjen J. Luykx Luís Augusto Rohde Clement C. Zai Esben Agerbo María J. Arranz Philip Asherson Marie Bækvad‐Hansen Gísli Baldursson Mark A. Bellgrove Richard A. Belliveau Jan K. Buitelaar Christie L. Burton Jonas Bybjerg‐Grauholm Miguel Casas Felecia Cerrato Kimberly Chambert Tracy Air Bru Cormand Jennifer Crosbie Søren Dalsgaard Ditte Demontis Alysa E. Doyle Ashley Dumont Josephine Elia Jakob Grove Ólafur Ó. Guðmundsson Jan Haavik Håkon Håkonarson Christine Søholm Hansen Catharina A. Hartman Ziarih Hawi Amaia Hervás David M. Hougaard Daniel P. Howrigan Hailiang Huang Jonna Kuntsi K. Langley Klaus‐Peter Lesch Patrick W. L. Leung Sandra K. Loo Joanna Martin Alicia R. Martin James J. McGough Sarah E. Medland Jennifer L. Moran Ole Mors Preben Bo Mortensen Robert D. Oades Duncan S. Palmer Carsten Bøcker Pedersen Marianne G. Pedersen Triinu Peters Timothy Poterba Jesper Buchhave Poulsen Josep Antoni Ramos‐Quiroga Andreas Reif Marta Ribasés Aribert Rothenberger Paula Rovira Cristina Sánchez‐Mora F. Kyle Satterstrom Russell Schachar María Soler Artigas Stacy Steinberg Hreinn Stefánsson Patrick Turley G. Bragi Walters Thomas Werge Tetyana Zayats Dan E. Arking Francesco Bettella Joseph D. Buxbaum

10.1016/j.cell.2019.11.020 article EN publisher-specific-oa Cell 2019-12-01

Genes overlap across psychiatric disease Many genome-wide studies have examined genes associated with a range of neuropsychiatric disorders. However, the degree to which genetic underpinnings these diseases differ or is unknown. Gandal et al. performed meta-analyses transcriptomic covering five major disorders and compared cases controls identify coexpressed gene modules. From this, they found that some share global expression patterns. This in polygenic traits may allow for better diagnosis...

10.1126/science.aad6469 article EN Science 2018-02-09
Laurence J Howe Michel G. Nivard Tim Morris Ailin Falkmo Hansen Humaira Rasheed and 95 more Yoonsu Cho Geetha Chittoor Rafael Ahlskog Penelope A. Lind Teemu Palviainen Matthijs D. van der Zee Rosa Cheesman Massimo Mangino Yunzhang Wang Shuai Li Lucija Klarić Scott M. Ratliff Lawrence F. Bielak Marianne Nygaard Alexandros Giannelis Emily A. Willoughby Chandra A. Reynolds Jared V. Balbona Ole A. Andreassen Helga Ask Aris Baras Christopher R. Bauer Dorret I. Boomsma Archie Campbell Harry Campbell Zhengming Chen Paraskevi Christofidou Elizabeth C. Corfield Christina C. Dahm Deepika Dokuru Luke M. Evans Eco J. C. de Geus Sudheer Giddaluru Scott D. Gordon K. Paige Harden W. David Hill Amanda Hughes Shona M. Kerr Yongkang Kim Hyeokmoon Kweon Antti Latvala Debbie A. Lawlor Liming Li Kuang Lin Per Magnus Patrik K. E. Magnusson Travis T. Mallard Pekka Martikainen Melinda Mills Pål R. Njølstad John D. Overton Nancy L. Pedersen David J. Porteous Jeffrey G. Reid Karri Silventoinen Melissa C. Southey Camilla Stoltenberg Elliot M. Tucker‐Drob Margaret J. Wright Hyeokmoon Kweon Philipp Koellinger Daniel J. Benjamin Patrick Turley Laurence J Howe Michel G. Nivard Tim Morris Ailin Falkmo Hansen Humaira Rasheed Yoonsu Cho Geetha Chittoor Rafael Ahlskog Penelope A. Lind Teemu Palviainen Matthijs D. van der Zee Rosa Cheesman Massimo Mangino Yunzhang Wang Shuai Li Lucija Klarić Scott M. Ratliff Lawrence F. Bielak Marianne Nygaard Alexandros Giannelis Emily A. Willoughby Chandra A. Reynolds Jared V. Balbona Ole A. Andreassen Helga Ask Dorret I. Boomsma Archie Campbell Harry Campbell Zhengming Chen Paraskevi Christofidou Elizabeth C. Corfield Christina C. Dahm

Estimates from genome-wide association studies (GWAS) of unrelated individuals capture effects inherited variation (direct effects), demography (population stratification, assortative mating) and relatives (indirect genetic effects). Family-based GWAS designs can control for demographic indirect effects, but large-scale family datasets have been lacking. We combined data 178,086 siblings 19 cohorts to generate population (between-family) within-sibship (within-family) estimates 25...

10.1038/s41588-022-01062-7 article EN cc-by Nature Genetics 2022-05-01

Abstract Attention-Deficit/Hyperactivity Disorder (ADHD) is a highly heritable childhood behavioral disorder affecting 5% of school-age children and 2.5% adults. Common genetic variants contribute substantially to ADHD susceptibility, but no individual have been robustly associated with ADHD. We report genome-wide association meta-analysis 20,183 cases 35,191 controls that identifies surpassing significance in 12 independent loci, revealing new important information on the underlying biology...

10.1101/145581 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2017-06-03

Companies have recently begun to sell a new service patients considering in vitro fertilization: embryo selection based on polygenic scores (ESPS). These represent individualized predictions of health and other outcomes derived from genomewide association studies adults partially predict these outcomes. This article includes discussion many factors that lower the predictive power context quantifies effects for variety clinical nonclinical traits. Also discussed are potential unintended...

10.1056/nejmsr2105065 article EN New England Journal of Medicine 2021-06-30

Effects estimated by genome-wide association studies (GWASs) include effects of alleles in an individual on that (direct genetic effects), indirect (for example, parents offspring through the environment) and bias from confounding. Within-family variation is random, enabling unbiased estimation direct when are genotyped. However, parental genotypes often missing. We introduce a method imputes missing estimates effects. Our method, implemented software package snipar (single-nucleotide...

10.1038/s41588-022-01085-0 article EN cc-by Nature Genetics 2022-06-01

Summary Large biobanks, such as the UK Biobank (UKB), enable massive phenome by genome-wide association studies that elucidate genetic etiology of complex traits. However, individuals from diverse ancestry groups are often excluded analyses due to concerns about population structure introducing false positive associations. Here, we generate mixed model associations and meta-analyses across groups, inclusive a larger fraction UKB than previous efforts, produce freely-available summary...

10.1101/2024.03.13.24303864 preprint EN cc-by medRxiv (Cold Spring Harbor Laboratory) 2024-03-15

Abstract We develop a method, SBayesRC, that integrates genome-wide association study (GWAS) summary statistics with functional genomic annotations to improve polygenic prediction of complex traits. Our method is scalable whole-genome variant analysis and refines signals from by allowing them affect both causal probability effect distribution. analyze 50 traits diseases using ∼7 million common single-nucleotide polymorphisms (SNPs) 96 annotations. SBayesRC improves accuracy 14% in European...

10.1038/s41588-024-01704-y article EN cc-by Nature Genetics 2024-04-30

This work investigates whether genetic makeup moderates the effects of education on health. Low statistical power and endogenous measures environment have been obstacles to credible estimation such gene-by-environment interactions. We overcome these by combining a natural experiment that generated variation in secondary with polygenic scores for quarter-million individuals. The additional schooling affected body size, lung function, blood pressure middle age. improvements size function were...

10.1073/pnas.1802909115 article EN cc-by-nc-nd Proceedings of the National Academy of Sciences 2018-10-02

Abstract We conducted genome-wide association studies (GWAS) of relative intake from the macronutrients fat, protein, carbohydrates, and sugar in over 235,000 individuals European ancestries. identified 21 unique, approximately independent lead SNPs. Fourteen SNPs are uniquely associated with one macronutrient at significance ( P < 5 × 10 −8 ), while five reach suggestive 1 −5 ) for least other macronutrient. While phenotypes genetically correlated, each phenotype carries a partially...

10.1038/s41380-020-0697-5 article EN cc-by Molecular Psychiatry 2020-05-11

Abstract Autism spectrum disorder (ASD) is a highly heritable and heterogeneous group of neurodevelopmental phenotypes diagnosed in more than 1% children. Common genetic variants contribute substantially to ASD susceptibility, but date no individual have been robustly associated with ASD. With marked sample size increase from unique Danish population resource, we report genome-wide association meta-analysis 18,381 cases 27,969 controls that identifies five significant loci. Leveraging GWAS...

10.1101/224774 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2017-11-25

Abstract Humans vary substantially in their willingness to take risks. In a combined sample of over one million individuals, we conducted genome-wide association studies (GWAS) general risk tolerance, adventurousness, and risky behaviors the driving, drinking, smoking, sexual domains. We identified 611 approximately independent genetic loci associated with at least our phenotypes, including 124 tolerance. report evidence substantial shared influences across tolerance behaviors: 72 contain...

10.1101/261081 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2018-02-08

Abstract Estimates from genome-wide association studies (GWAS) represent a combination of the effect inherited genetic variation (direct effects), demography (population stratification, assortative mating) and nurture relatives (indirect effects). GWAS using family-based designs can control for indirect effects, but large-scale family datasets have been lacking. We combined data on 159,701 siblings 17 cohorts to generate population (between-family) within-sibship (within-family) estimates...

10.1101/2021.03.05.433935 preprint EN cc-by bioRxiv (Cold Spring Harbor Laboratory) 2021-03-07

Abstract In this consensus report by a diverse group of academics who conduct and/or are concerned about social and behavioral genomics (SBG) research, the authors recount often‐ugly history scientific attempts to understand genetic contributions human behaviors outcomes. They then describe what current science—including genomewide association studies polygenic indexes—can cannot tell us, as well its risks potential benefits. conclude with discussion responsible behavior in context SBG...

10.1002/hast.1477 article EN The Hastings Center Report 2023-03-01

Understanding moral acceptability and willingness to use is crucial for informing policy

10.1126/science.ade1083 article EN Science 2023-02-10

Abstract Cognitive functions of individuals with psychiatric disorders differ from that the general population. Such cognitive differences often manifest early in life as differential school performance and have a strong genetic basis. Here we measured predictors 30,982 English, Danish mathematics via genome-wide association study (GWAS) studied their relationship risk for six major disorders. When decomposing into math language-specific performances, observed phenotypically genetically...

10.1038/s41598-022-26845-0 article EN cc-by Scientific Reports 2023-01-09

Disclaimer: This statement is designed primarily as an educational resource for medical geneticists and other clinicians to help them provide quality services. Adherence this completely voluntary does not necessarily assure a successful outcome. should be considered inclusive of all proper procedures tests or exclusive that are reasonably directed obtaining the same results. In determining propriety any specific procedure test, apply their own professional judgment clinical circumstances...

10.1016/j.gim.2023.101052 article EN other-oa Genetics in Medicine 2024-02-23
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