M
Matthijs D. van der Zee
Researcher at VU University Amsterdam
Publications - 24
Citations - 923
Matthijs D. van der Zee is an academic researcher from VU University Amsterdam. The author has contributed to research in topics: Genome-wide association study & Mendelian randomization. The author has an hindex of 9, co-authored 21 publications receiving 434 citations. Previous affiliations of Matthijs D. van der Zee include Public Health Research Institute.
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Journal ArticleDOI
GWAS of lifetime cannabis use reveals new risk loci, genetic overlap with psychiatric traits, and a causal influence of schizophrenia
Joëlle A. Pasman,Karin J. H. Verweij,Karin J. H. Verweij,Zachary Gerring,Sven Stringer,Sandra Sanchez-Roige,Jorien L. Treur,Abdel Abdellaoui,Michel G. Nivard,Bart M. L. Baselmans,Jue-Sheng Ong,Hill F. Ip,Matthijs D. van der Zee,Meike Bartels,Felix R. Day,Pierre Fontanillas,Sarah L. Elson,Harriet de Wit,Lea K. Davis,James MacKillop,Jaime Derringer,Susan Branje,Catharina A. Hartman,Andrew C. Heath,Pol A. C. van Lier,Pamela A. F. Madden,Reedik Mägi,Wim Meeus,Grant W. Montgomery,Albertine J. Oldehinkel,Zdenka Pausova,Josep Antoni Ramos-Quiroga,Tomáš Paus,Marta Ribasés,Marta Ribasés,Jaakko Kaprio,Marco P. Boks,Jordana T. Bell,Tim D. Spector,Joel Gelernter,Dorret I. Boomsma,Nicholas G. Martin,Stuart MacGregor,John R. B. Perry,Abraham A. Palmer,Danielle Posthuma,Marcus R. Munafò,Nathan A. Gillespie,Nathan A. Gillespie,Eske M. Derks,Jacqueline M. Vink +50 more
TL;DR: A GWAS of lifetime cannabis use reveals new risk loci, shows that cannabis use has genetic overlap with smoking and alcohol use, and indicates that the likelihood of initiating cannabis use is causally influenced by schizophrenia.
Journal ArticleDOI
Genetic analyses identify widespread sex-differential participation bias
Nicola Pirastu,Mattia Cordioli,Priyanka Nandakumar,Gianmarco Mignogna,Gianmarco Mignogna,Gianmarco Mignogna,Abdel Abdellaoui,Benjamin Hollis,Benjamin Hollis,Masahiro Kanai,Veera M. Rajagopal,Pietro Della Briotta Parolo,Nikolas Baya,Nikolas Baya,Caitlin E. Carey,Caitlin E. Carey,Juha Karjalainen,Juha Karjalainen,Juha Karjalainen,Thomas Damm Als,Matthijs D. van der Zee,Felix R. Day,Ken K. Ong,Takayuki Morisaki,Eco J. C. de Geus,Eco J. C. de Geus,Rino Bellocco,Rino Bellocco,Yukinori Okada,Anders D. Børglum,Peter K. Joshi,Adam Auton,David A. Hinds,Benjamin M. Neale,Benjamin M. Neale,Raymond K. Walters,Raymond K. Walters,Michel G. Nivard,John R. B. Perry,Andrea Ganna,Andrea Ganna,Andrea Ganna +41 more
TL;DR: In this paper, the authors demonstrate that it is possible to estimate comparative biases by performing a genome-wide association study contrasting one subgroup versus another, showing that sex exhibits artifactual heritability in the presence of sex-differential participation bias.
Journal ArticleDOI
Within-sibship genome-wide association analyses decrease bias in estimates of direct genetic effects
Laurence J. Howe,Michel G. Nivard,Tim T 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 Klaric,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 Corfield,Christina C. Dahm,Deepika Dokuru,Luke M. Evans,Eco J. C. de Geus,Sudheer Giddaluru,Scott D. Gordon,K. Paige Harden,WD Hill,Shona M. Kerr,Yongkang Kim,Hyeokmoon Kweon,Antti Latvala,D. 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 S. Reid,Karri Silventoinen,Melissa C. Southey,Camilla Stoltenberg,Elliot M. Tucker-Drob,M. Wright,John K. Hewitt,Matthew C. Keller,Michael C. Stallings,James J. Lee,Kaare Christensen,Sharon L.R. Kardia,Patricia A. Peyser,Jennifer A. Smith,James F. Wilson,John L. Hopper,Sara Hägg,Tim D. Spector,Jean-Baptiste Pingault,Robert Plomin,Alexandra Havdahl,Meike Bartels,Nicholas G. Martin,Sven Oskarsson,Anne E. Justice,Iona Y. Millwood,Kristian Hveem,Ø. Naess,Cristen J. Willer,Bjørn Olav Åsvold,Philipp Koellinger,Jaakko Kaprio,Sarah E. Medland,Robin G. Walters,Daniel J. Benjamin,Patrick Turley,David M. Evans,George Davey Smith,Caroline Hayward,Ben Michael Brumpton,Gibran Hemani,Neil M Davies +98 more
TL;DR: In this paper , the authors combined data from 178,086 siblings from 19 cohorts to generate population (between-family) and within-sibship (within family) estimates for 25 phenotypes.
Posted ContentDOI
Within-sibship GWAS improve estimates of direct genetic effects
Laurence J. Howe,Michel G. Nivard,Tim T Morris,Ailin Falkmo Hansen,Humaira Rasheed,Yoonsu Cho,Geetha Chittoor,Penelope A. Lind,Penelope A. Lind,Penelope A. Lind,Teemu Palviainen,Matthijs D. van der Zee,Rosa Cheesman,Rosa Cheesman,Massimo Mangino,Yunzhang Wang,Shuai Li,Shuai Li,Shuai Li,Lucija Klaric,Scott M. Ratliff,Lawrence F. Bielak,Marianne Nygaard,Marianne Nygaard,Chandra A. Reynolds,Jared V. Balbona,Christopher R. Bauer,Dorret I. Boomsma,Aris Baras,Archie Campbell,Harry Campbell,Zhengming Chen,Paraskevi Christofidou,Christina C. Dahm,Deepika R Dokuru,Luke M. Evans,Eco J. C. de Geus,Eco J. C. de Geus,Sudheer Giddaluru,Sudheer Giddaluru,Scott D. Gordon,K. Paige Harden,Alexandra Havdahl,W. David Hill,Shona M. Kerr,Yongkang Kim,Hyeokmoon Kweon,Antti Latvala,Liming Li,Kuang Lin,Pekka Martikainen,Pekka Martikainen,Pekka Martikainen,Patrik K. E. Magnusson,Melinda Mills,Debbie A Lawlor,John D. Overton,Nancy L. Pedersen,David J. Porteous,Jeffrey S. Reid,Karri Silventoinen,Melissa C. Southey,Melissa C. Southey,Melissa C. Southey,Travis T. Mallard,Elliot M. Tucker-Drob,Margaret J. Wright,John K. Hewitt,Matthew C. Keller,Michael C. Stallings,Kaare Christensen,Kaare Christensen,Sharon L.R. Kardia,Patricia A. Peyser,Jennifer A. Smith,James F. Wilson,James F. Wilson,John L. Hopper,Sara Hägg,Tim D. Spector,Jean-Baptiste Pingault,Jean-Baptiste Pingault,Robert Plomin,Meike Bartels,Nicholas G. Martin,Anne E. Justice,Iona Y Millwood,Kristian Hveem,Øyvind Næss,Øyvind Næss,Cristen J. Willer,Cristen J. Willer,Bjørn Olav Åsvold,Philipp Koellinger,Philipp Koellinger,Jaakko Kaprio,Sarah E. Medland,Sarah E. Medland,Robin G. Walters,Daniel J. Benjamin,Daniel J. Benjamin,Patrick Turley,David M. Evans,David M. Evans,George Davey Smith,Caroline Hayward,Ben Michael Brumpton,Ben Michael Brumpton,Gibran Hemani,Neil M Davies,Neil M Davies +110 more
TL;DR: In this article, the authors combined data on 159,701 siblings from 17 cohorts to generate population and within-sibship (within-family) estimates of genome-wide genetic associations for 25 phenotypes.
Journal ArticleDOI
Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging.
Daniel L. McCartney,Josine L. Min,Rebecca C Richmond,Ake T. Lu,Maria K. Sobczyk,Gail Davies,Linda Broer,Xiuqing Guo,Ayoung Jeong,Ayoung Jeong,Jeesun Jung,Silva Kasela,Seyma Katrinli,Pei-Lun Kuo,Pamela R. Matias-Garcia,Pashupati P. Mishra,Marianne Nygaard,Marianne Nygaard,Teemu Palviainen,Amit Patki,Laura M. Raffield,Scott M. Ratliff,Tom G. Richardson,Oliver Robinson,Mette Soerensen,Mette Soerensen,Dianjianyi Sun,Pei-Chien Tsai,Pei-Chien Tsai,Pei-Chien Tsai,Matthijs D. van der Zee,Matthijs D. van der Zee,Rosie M. Walker,Xiaochuan Wang,Yunzhang Wang,Rui Xia,Zongli Xu,Jie Yao,Wei Zhao,Adolfo Correa,Eric Boerwinkle,Pierre Antoine Dugué,Pierre Antoine Dugué,Pierre Antoine Dugué,Peter Durda,Hannah R Elliott,Christian Gieger,Eco J. C. de Geus,Eco J. C. de Geus,Sarah E. Harris,Gibran Hemani,Medea Imboden,Medea Imboden,Mika Kähönen,Sharon L.R. Kardia,Jacob K. Kresovich,Shengxu Li,Kathryn L. Lunetta,Massimo Mangino,Massimo Mangino,Dan Mason,Andrew M. McIntosh,Jonas Mengel-From,Jonas Mengel-From,Ann Zenobia Moore,Joanne M. Murabito,Miina Ollikainen,James S. Pankow,Nancy L. Pedersen,Annette Peters,Silvia Polidoro,David J. Porteous,Olli T. Raitakari,Olli T. Raitakari,Stephen S. Rich,Dale P. Sandler,Elina Sillanpää,Elina Sillanpää,Alicia K. Smith,Melissa C. Southey,Melissa C. Southey,Melissa C. Southey,Konstantin Strauch,Konstantin Strauch,Hemant K. Tiwari,Toshiko Tanaka,Therese Tillin,André G. Uitterlinden,David Van Den Berg,Jenny van Dongen,Jenny van Dongen,James G. Wilson,James G. Wilson,John Wright,Idil Yet,Idil Yet,Donna K. Arnett,Stefania Bandinelli,Jordana T. Bell,Alexandra M. Binder,Dorret I. Boomsma,Dorret I. Boomsma,Wei Chen,Kaare Christensen,Kaare Christensen,Karen N. Conneely,Paul Elliott,Luigi Ferrucci,Myriam Fornage,Sara Hägg,Caroline Hayward,Marguerite R. Irvin,Jaakko Kaprio,Debbie A Lawlor,Terho Lehtimäki,Falk W. Lohoff,Lili Milani,Roger L. Milne,Roger L. Milne,Roger L. Milne,Nicole Probst-Hensch,Nicole Probst-Hensch,Alexander P. Reiner,Beate Ritz,Jerome I. Rotter,Jennifer A. Smith,Jack A. Taylor,Joyce B. J. van Meurs,Paolo Vineis,Melanie Waldenberger,Ian J. Deary,Caroline L Relton,Steve Horvath,Riccardo E. Marioni +133 more
TL;DR: In this article, the authors identify 137 genome-wide significant loci, of which 113 are novel, from genomewide association study (GWAS) meta-analyses of four epigenetic clocks and epigenetic surrogate markers for granulocyte proportions and plasminogen activator inhibitor 1 levels.