Ronald de Vlaming

ORCID: 0000-0001-6416-6067
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Research Areas
  • Genetic Associations and Epidemiology
  • Genetic Mapping and Diversity in Plants and Animals
  • Cognitive Abilities and Testing
  • Genetic and phenotypic traits in livestock
  • Nutrition, Genetics, and Disease
  • Intergenerational and Educational Inequality Studies
  • Birth, Development, and Health
  • Genetics and Neurodevelopmental Disorders
  • Epigenetics and DNA Methylation
  • Bioinformatics and Genomic Networks
  • Functional Brain Connectivity Studies
  • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
  • Folate and B Vitamins Research
  • Economic Growth and Productivity
  • Health, Environment, Cognitive Aging
  • Sex and Gender in Healthcare
  • Child and Adolescent Psychosocial and Emotional Development
  • Bipolar Disorder and Treatment
  • Liver Disease Diagnosis and Treatment
  • Cardiovascular Disease and Adiposity
  • Adolescent and Pediatric Healthcare
  • Orthodontics and Dentofacial Orthopedics
  • Biomedical Text Mining and Ontologies
  • Protein Tyrosine Phosphatases
  • Image and Signal Denoising Methods

Vrije Universiteit Amsterdam
2017-2025

Tinbergen Institute
2023

Erasmus University Rotterdam
2015-2022

Amsterdam Neuroscience
2018

Erasmus MC
2015-2016

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
Nicola Barban Rick Jansen Ronald de Vlaming Ahmad Vaez Jornt J. Mandemakers and 95 more Felix C. Tropf Xia Shen James F. Wilson Daniel I. Chasman Ilja M. Nolte Vinicius Tragante Sander W. van der Laan John R. B. Perry Augustine Kong Tarunveer S. Ahluwalia Eva Albrecht Laura M. Yerges-Armstrong Gil Atzmon Kirsi Auro Kristin L. Ayers Andrew Bakshi Danny Ben‐Avraham Kenneth I. Berger Aviv Bergman Lars Bertram Lawrence F. Bielak Gyða Björnsdóttir Marc Jan Bonder Linda Broer Minh Bui Caterina Barbieri Alana Cavadino Jorge E. Chavarro Constance Turman Maria Pina Concas Heather J. Cordell Gail Davies Peter Eibich Nicholas Eriksson Tõnu Esko Joel Eriksson Fahimeh Falahi Janine F. Felix Mark Alan Fontana Lude Franke Ilaria Gandin Audrey J. Gaskins Christian Gieger Erica P. Gunderson Xiuqing Guo Caroline Hayward Chunyan He Edith Hofer Hongyan Huang Peter K. Joshi Stavroula Kanoni Robert Karlsson Stefan Kiechl Annette Kifley Alexander Kluttig Peter Kraft Vasiliki Lagou Cécile Lecœur Jari Lahti Ruifang Li‐Gao Penelope A. Lind Tian Liu Enes Makalic Crysovalanto Mamasoula Lindsay Matteson Hamdi Mbarek Patrick F. McArdle George McMahon S. Fleur W. Meddens Evelin Mihailov Mike Miller Stacey A. Missmer Claire Monnereau Peter J. van der Most Ronny Myhre Mike A. Nalls Teresa Nutile Ioanna Panagiota Kalafati Eleonora Porcu Inga Prokopenko Kumar B. Rajan Janet W. Rich‐Edwards Cornelius A. Rietveld Antonietta Robino Lynda M. Rose Rico Rueedi Kathleen A. Ryan Yasaman Saba Daniel Schmidt Jennifer A. Smith Lisette Stolk Elizabeth A. Streeten Anke Tönjes Guðmar Þorleifsson Sheila Ulivi

10.1038/ng.3698 article EN Nature Genetics 2016-10-31

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 < 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

Abstract Methods for using GWAS to estimate genetic correlations between pairwise combinations of traits have produced “atlases” architecture. Genetic atlases reveal pervasive pleiotropy, and genome-wide significant loci are often shared across different phenotypes. We introduce genomic structural equation modeling (Genomic SEM), a multivariate method analyzing the joint architectures complex traits. Using formal methods covariance structure, Genomic SEM synthesizes SNP-heritabilities...

10.1101/305029 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2018-04-21

We develop a polygenic index for individual income and examine random differences in this with lifetime outcomes sample of ~35,000 biological siblings. find that genetic fortune higher causes greater socio-economic status better health, partly via intervenable environmental pathways such as education. The positive returns to schooling remain substantial even after controlling now observable confounds. Our findings illustrate inequalities education, income, health are due the lottery....

10.2139/ssrn.3682041 article EN SSRN Electronic Journal 2020-01-01

Abstract 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 (GWAS) eight psychiatric symptoms disorders broadly related mood disturbance psychosis. We identify two liabilities that distinguish between...

10.1101/603134 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2019-04-09

Failures of self-control can manifest as externalizing behaviors (e.g., aggression, rule-breaking) that have far-reaching negative consequences. Researchers long been interested in measuring children's genetic risk for to inform efforts at early identification and intervention. Drawing on data from the Environmental Risk Longitudinal Twin Study (N = 862 twins) Millennium Cohort 2,824 parent-child trios), two longitudinal cohorts UK, we leveraged molecular within-family designs test...

10.1177/21677026241260260 article EN Clinical Psychological Science 2024-08-24

Abstract We conducted a genome-wide association study (GWAS) on income among individuals of European descent and leveraged the results to investigate socio-economic health gradient ( N =668,288). found 162 genomic loci associated with common genetic factor underlying various measures, all small effect sizes. Our GWAS-derived polygenic index captures 1 - 4% variance, only one-fourth attributed direct effects. A phenome-wide using this showed reduced risks for broad spectrum diseases,...

10.1101/2024.01.09.574865 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2024-01-10
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