Aysu Okbay

ORCID: 0000-0002-5170-7781
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About
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Research Areas
  • Genetic Associations and Epidemiology
  • Cognitive Abilities and Testing
  • Genetic Mapping and Diversity in Plants and Animals
  • Birth, Development, and Health
  • Genetics and Neurodevelopmental Disorders
  • Intergenerational and Educational Inequality Studies
  • Nutrition, Genetics, and Disease
  • Epigenetics and DNA Methylation
  • Health, Environment, Cognitive Aging
  • Health disparities and outcomes
  • Bioinformatics and Genomic Networks
  • Genetic and phenotypic traits in livestock
  • Liver Disease Diagnosis and Treatment
  • Folate and B Vitamins Research
  • Cardiovascular Disease and Adiposity
  • Behavioral Health and Interventions
  • Education Systems and Policy
  • Genomic variations and chromosomal abnormalities
  • Intergenerational Family Dynamics and Caregiving
  • Autism Spectrum Disorder Research
  • Bipolar Disorder and Treatment
  • Economic Growth and Productivity
  • Attention Deficit Hyperactivity Disorder
  • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
  • COVID-19 epidemiological studies

Vrije Universiteit Amsterdam
2016-2025

Amsterdam Neuroscience
2017-2024

Tinbergen Institute
2023-2024

Erasmus University Rotterdam
2015-2019

Erasmus MC
2015-2016

University of Groningen
2016

Washington Center
2016

University of Washington
2016

Aysu Okbay Jonathan Beauchamp Mark Alan Fontana James J. Lee Tune H. Pers and 95 more Cornelius A. Rietveld Patrick Turley Guo‐Bo Chen Valur Emilsson S. Fleur W. Meddens Sven Oskarsson Joseph K. Pickrell Kevin Thom Pascal Timshel Ronald de Vlaming Abdel Abdellaoui Tarunveer S. Ahluwalia Jonas Bacelis Clemens Baumbach Gyða Björnsdóttir J Brandsma Maria Pina Concas Jaime Derringer Nicholas A. Furlotte Tessel E. Galesloot Giorgia Girotto Richa Gupta Leanne M. Hall Sarah E. Harris Edith Hofer Momoko Horikoshi Jennifer E. Huffman Kadri Kaasik Ioanna Panagiota Kalafati Robert Karlsson Augustine Kong Jari Lahti Sven J. van der Lee C. deLeeuw Penelope A. Lind Karl‐Oskar Lindgren Tian Liu Massimo Mangino Jonathan Marten Evelin Mihailov Michael B. Miller Peter J. van der Most Christopher Oldmeadow Antony Payton Natalia Pervjakova Wouter J. Peyrot Yong Qian Olli Raitakari Rico Rueedi Erika Salvi Börge Schmidt Katharina E. Schraut Jianxin Shi Albert V. Smith Raymond A. Poot Beaté St Pourcain Alexander Teumer Gudmar Thorleifsson Niek Verweij Dragana Vuckovic Juergen Wellmann Harm-Jan Westra Jingyun Yang Wei Zhao Zhihong Zhu Behrooz Z. Alizadeh Najaf Amin Andrew Bakshi Sebastian E. Baumeister Ginevra Biino Klaus Bønnelykke Patricia A. Boyle Harry Campbell Francesco P. Cappuccio Gail Davies Jan-Emmanuel De Neve Panos Deloukas Ilja Demuth Jun Ding Peter Eibich Lewin Eisele Niina Eklund David M. Evans Jessica D. Faul Mary F. Feitosa Andreas J. Forstner Ilaria Gandin Bjarni Gunnarsson Bjarni V. Halldórsson Tamara B. Harris Andrew C. Heath Lynne J. Hocking Elizabeth G. Holliday Georg Homuth Michael A. Horan

10.1038/nature17671 article EN Nature 2016-05-10
Aysu Okbay Bart M. L. Baselmans Jan-Emmanuel De Neve Patrick Turley Michel G. Nivard and 95 more Mark Alan Fontana S Fleur W Meddens Richard Karlsson Linnér Cornelius A. Rietveld Jaime Derringer Jacob Gratten James J. Lee Jimmy Z. Liu Ronald de Vlaming Tarunveer S. Ahluwalia Jadwiga Buchwald Alana Cavadino Alexis C. Wood Nicholas A. Furlotte Victoria Garfield Marie Henrike Geisel Juan R Gonzalez Saskia Haitjema Robert Karlsson Sander W. van der Laan Karl-Heinz Ladwig Jari Lahti Sven J. van der Lee Penelope A. Lind Tian Liu Lindsay Matteson Evelin Mihailov Michael Miller Camelia C. Minică Ilja M. Nolte Dennis O. Mook‐Kanamori Peter J. van der Most Christopher Oldmeadow Yong Qian Olli Raitakari Rajesh Rawal Anu Realo Rico Rueedi Börge Schmidt Albert V. Smith Evie Stergiakouli Toshiko Tanaka Kent D. Taylor Gudmar Thorleifsson Juho Wedenoja Juergen Wellmann Harm-Jan Westra Sara M. Willems Wei Zhao Najaf Amin Andrew Bakshi Sven Bergmann Gyða Björnsdóttir Patricia A. Boyle Samantha Cherney Simon R. Cox Gail Davies Oliver S. P. Davis Jun Ding Neşe Direk Peter Eibich Rebecca T. Emeny Ghazaleh Fatemifar Jessica D. Faul Luigi Ferrucci Andreas J. Forstner Christian Gieger Richa Gupta Tamara B Harris Juliette Harris Elizabeth G. Holliday Jouke-Jan Hottenga Philip L De Jager Marika Kaakinen Eero Kajantie Ville Karhunen Ivana Kolčić Meena Kumari Lenore J Launer Lude Franke Ruifang Li‐Gao David C. Liewald Marisa Koini Anu Loukola Pedro Marques‐Vidal Grant W. Montgomery Miriam A. Mosing Lavinia Paternoster Alison Pattie Katja Petrovic Laura Pulkki-Råback Lydia Quaye Katri Räikkönen Igor Rudan Rodney J. Scott

10.1038/ng.3552 article EN Nature Genetics 2016-04-18
Aysu Okbay Yeda Wu Nancy Wang Hariharan Jayashankar Michael Bennett and 95 more Seyed Moeen Nehzati Julia Sidorenko Hyeokmoon Kweon Grant Goldman Tamara Gjorgjieva Yunxuan Jiang Barry Hicks Chao Tian David A. Hinds Rafael Ahlskog Patrik K. E. Magnusson Sven Oskarsson Caroline Hayward Archie Campbell David J. Porteous Jeremy Freese Pamela Herd Michelle Agee Babak Alipanahi Adam Auton Robert K. Bell Katarzyna Bryc Sarah L. Elson Pierre Fontanillas Nicholas A. Furlotte David A. Hinds Karen E. Huber Aaron Kleinman Nadia K. Litterman Jennifer C. McCreight Matthew H. McIntyre Joanna L. Mountain Carrie A. M. Northover Steven J. Pitts J. Fah Sathirapongsasuti Olga V. Sazonova Janie F. Shelton Suyash Shringarpure Joyce Y. Tung Vladimir Vacic Catherine H. Wilson Mark Alan Fontana Tune H. Pers Cornelius A. Rietveld Guo‐Bo Chen Valur Emilsson S. Fleur W. Meddens Joseph K. Pickrell Kevin Thom Pascal Timshel Ronald de Vlaming Abdel Abdellaoui Tarunveer S. Ahluwalia Jonas Bacelis Clemens Baumbach Gyða Björnsdóttir J Brandsma Maria Pina Concas Jaime Derringer Tessel E. Galesloot Giorgia Girotto Richa Gupta Leanne M. Hall Sarah E. Harris Edith Hofer Momoko Horikoshi Jennifer E. Huffman Kadri Kaasik Ioanna Panagiota Kalafati Robert Karlsson Jari Lahti Sven J. van der Lee Christiaan de Leeuw Penelope A. Lind Karl‐Oskar Lindgren Tian Liu Massimo Mangino Jonathan Marten Evelin Mihailov Michael Miller Peter J. van der Most Christopher Oldmeadow Antony Payton Natalia Pervjakova Wouter J. Peyrot Yong Qian Olli T. Raitakari Rico Rueedi Erika Salvi Börge Schmidt Katharina E. Schraut Jianxin Shi Albert V. Smith Raymond A. Poot Beaté St Pourcain

Abstract We conduct a genome-wide association study (GWAS) of educational attainment (EA) in sample ~3 million individuals and identify 3,952 approximately uncorrelated genome-wide-significant single-nucleotide polymorphisms (SNPs). A polygenic predictor, or index (PGI), explains 12–16% EA variance contributes to risk prediction for ten diseases. Direct effects (i.e., controlling parental PGIs) explain roughly half the PGI’s magnitude with other phenotypes. The correlation between mate-pair...

10.1038/s41588-022-01016-z article EN cc-by Nature Genetics 2022-03-31

<b>Objective</b>&nbsp;To determine whether educational attainment is a causal risk factor in the development of coronary heart disease. <b>Design</b>&nbsp;Mendelian randomisation study, using genetic data as proxies for education to minimise confounding. <b>Setting</b>&nbsp;The main analysis used from two large consortia (CARDIoGRAMplusC4D and SSGAC), comprising 112 studies predominantly high income countries. Findings mendelian analyses were then compared against results traditional...

10.1136/bmj.j3542 article EN cc-by BMJ 2017-08-30

Epidemiological and genetic association studies show that genetics play an important role in the attainment of education. Here, we investigate effect this component on reproductive history 109,120 Icelanders consequent impact gene pool over time. We educational polygenic score, POLYEDU, constructed from results a recent study is associated with delayed reproduction (P < 10-100) fewer children overall. The stronger for women remains highly significant after adjusting attainment. Based 129,808...

10.1073/pnas.1612113114 article EN Proceedings of the National Academy of Sciences 2017-01-17

Individuals with lower socio-economic status (SES) are at increased risk of physical and mental illnesses tend to die an earlier age [1-3]. Explanations for the association between SES health typically focus on factors that environmental in origin [4]. However, common SNPs have been found collectively explain around 18% phenotypic variance area-based social deprivation measure [5]. Molecular genetic studies also shown psychiatric diseases partly heritable [6]. It is possible associations...

10.1016/j.cub.2016.09.035 article EN cc-by Current Biology 2016-11-01

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

Understanding which biological pathways are specific versus general across diagnostic categories and levels of symptom severity is critical to improving nosology treatment psychopathology. Here, we combine transdiagnostic dimensional approaches genetic discovery for the first time, conducting a novel multivariate genome-wide association study eight psychiatric symptoms disorders broadly related mood disturbance psychosis. We identify two liabilities that distinguish between common forms...

10.1016/j.xgen.2022.100140 article EN cc-by-nc-nd Cell Genomics 2022-06-01

Abstract We conducted a genome-wide association study on income among individuals of European descent ( N = 668,288) to investigate the relationship between socio-economic status and health disparities. identified 162 genomic loci associated with common genetic factor underlying various measures, all small effect sizes (the Income Factor). Our polygenic index captures 1–5% variance, only one fourth due direct effects. A phenome-wide using this showed reduced risks for diseases including...

10.1038/s41562-024-02080-7 article EN cc-by Nature Human Behaviour 2025-01-28
Riccardo E. Marioni Stuart J. Ritchie Peter K. Joshi Saskia P. Hagenaars Aysu Okbay and 95 more Krista Fischer Mark J. Adams W. David Hill Gail Davies Réka Nagy Carmen Amador Kristi Läll Andres Metspalu David C. Liewald Archie Campbell James F. Wilson Caroline Hayward Tõnu Esko David J. Porteous Catharine R. Galé Ian J. Deary Aysu Okbay Jonathan Beauchamp Mark Alan Fontana James J. Lee Tune H. Pers Cornelius A. Rietveld Patrick Turley Guo-Bo Chen Valur Emilsson S. Fleur W. Meddens Sven Oskarsson Joseph K. Pickrell Kevin Thom Pascal Timshel Ronald de Vlaming Abdel Abdellaoui Tarunveer S. Ahluwalia Jonas Bacelis Clemens Baumbach Gyða Björnsdóttir J Brandsma Maria Pina Concas Jaime Derringer Nicholas A. Furlotte Tessel E. Galesloot Giorgia Girotto Richa Gupta Leanne M. Hall Sarah E. Harris Edith Hofer Momoko Horikoshi Jennifer E. Huffman Kadri Kaasik Ioanna Panagiota Kalafati Robert Karlsson Augustine Kong Jari Lahti Sven J. van der Lee Christiaan de Leeuw Penelope A. Lind Karl‐Oskar Lindgren Tian Liu Massimo Mangino Jonathan Marten Evelin Mihailov Michael Miller Peter J. van der Most Christopher Oldmeadow Antony Payton Natalia Pervjakova Wouter J. Peyrot Yong Qian Olli T. Raitakari Rico Rueedi Erika Salvi Börge Schmidt Katharina E. Schraut Jianxin Shi Albert V. Smith Raymond A. Poot Beaté St Pourcain Alexander Teumer Guðmar Þorleifsson Niek Verweij Dragana Vuckovic Juergen Wellmann Harm-Jan Westra Jingyun Yang Wei Zhao Zhihong Zhu Behrooz Z. Alizadeh Najaf Amin Andrew Bakshi Sebastian E. Baumeister Ginevra Biino Klaus Bønnelykke Patricia A. Boyle Harry Campbell Francesco P. Cappuccio

Educational attainment is associated with many health outcomes, including longevity. It also known to be substantially heritable. Here, we used data from three large genetic epidemiology cohort studies (Generation Scotland, n = ∼17,000; UK Biobank, ∼115,000; and the Estonian ∼6,000) test whether education-linked variants can predict lifespan length. We did so by using members' polygenic profile score for education their parents' Across cohorts, meta-analysis showed that a 1 SD higher was...

10.1073/pnas.1605334113 article EN Proceedings of the National Academy of Sciences 2016-10-31

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 &lt; 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

Higher educational attainment (EA) is negatively associated with schizophrenia (SZ). However, recent studies found a positive genetic correlation between EA and SZ. We investigate possible causes of this counterintuitive finding using genome-wide association study results for SZ (N = 443,581) replication cohort (1169 controls; 1067 cases) deeply phenotyped patients. find strong dependence that cannot be explained by chance, linkage disequilibrium, or assortative mating. Instead, several...

10.1038/s41467-018-05510-z article EN cc-by Nature Communications 2018-07-31

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

Large-scale genome-wide association results are typically obtained from a fixed-effects meta-analysis of GWAS summary statistics multiple studies spanning different regions and/or time periods. This approach averages the estimated effects genetic variants across studies. In case heterogeneous studies, statistical power and predictive accuracy polygenic scores attenuated, contributing to so-called 'missing heritability'. Here, we describe online Meta-GWAS Accuracy Power (MetaGAP) calculator...

10.1371/journal.pgen.1006495 article EN cc-by PLoS Genetics 2017-01-17

Objective: Experience of stressful life events is associated with risk depression. Yet many exposed individuals do not become depressed. A controversial hypothesis that genetic factors influence vulnerability to depression following stress. This often tested a “diathesis-stress” model, in which genes confer excess vulnerability. The authors an alternative formulation this model: may buffer against depressogenic effects Method: hypothesized was measured using polygenic score derived from...

10.1176/appi.ajp.2017.16111209 article EN American Journal of Psychiatry 2017-03-24

It is well established that higher cognitive ability associated with larger brain size. However, individual variation in intelligence exists despite size and recent studies have shown a simple unifactorial view of the neurobiology underpinning probably unrealistic. Educational attainment (EA) often used as proxy for since it easily measured, resulting large sample sizes and, consequently, sufficient statistical power to detect small associations. This study investigates association between...

10.1016/j.neuroimage.2020.116691 article EN cc-by-nc-nd NeuroImage 2020-02-29
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