David Cesarini

David Cesarini

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David Cesarini

Department of Economics, New York University, New York, USA

Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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11 May 2016 in Nature
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Journal Article
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AOAysu Okbay
Aysu Okbay
JBJonathan P. Beauchamp
Jonathan P. Beauchamp
MFMark Alan Fontana
Mark Alan Fontana
JLJames J. Lee
James J. Lee
TPTune H. Pers
Tune H. Pers
DBDaniel J. Benjamin
Daniel J. Benjamin
Educational attainment is strongly influenced by social and other environmental factors, but genetic factors are estimated to account for at least 20% of the variation across individuals1. Here we report the results of a genome-wide association study (GWAS) for educational attainment that extends our earlier discovery sample1,2 of 101,069 individuals to 293,723 individuals, and a replication study in an independent sample of 111,349 individuals from the UK Biobank. We identify 74 genome-wide significant loci associated with the number of years of schooling completed. Single-nucleotide polymorphisms associated with educational attainment are disproportionately found in genomic regions regulating gene expression in the fetal brain. Candidate genes are preferentially expressed in neural tissue, especially during the prenatal period, and enriched for biological pathways involved in neural development. Our findings demonstrate that, even for a behavioural phenotype that is mostly environmentally determined, a well-powered GWAS identifies replicable associated genetic variants that suggest biologically relevant pathways. Because educational attainment is measured in large numbers of individuals, it will continue to be useful as a proxy phenotype in efforts to characterize the genetic influences of related phenotypes, including cognition and neuropsychiatric diseases.

1 January 2018 in Nature Genetics
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PTPatrick Turley
Patrick Turley
RWRaymond K. Walters
Raymond K. Walters
OMOmeed Maghzian
Omeed Maghzian
AOAysu Okbay
Aysu Okbay
JLJames Lee
James Lee
DBDaniel J. Benjamin
Daniel J. Benjamin

18 April 2016 in Nature Genetics
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Journal Article
Open access
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LSLifeLines Cohort Study
LifeLines Cohort Study
AOAysu Okbay
Aysu Okbay
BBBart M L Baselmans
Bart M L Baselmans
JNJan-Emmanuel De Neve
Jan-Emmanuel De Neve
PTPatrick Turley
Patrick Turley
DCDavid Cesarini
David Cesarini
Daniel Benjamin, Meike Bartels, Philipp Koellinger and colleagues report a genome-wide association meta-analysis of subjective well-being, depressive symptoms and neuroticism. The study leverages a large sample size together with genetic correlations between the phenotypes to identify, with high confidence, loci associated with each phenotype. Very few genetic variants have been associated with depression and neuroticism, likely because of limitations on sample size in previous studies. Subjective well-being, a phenotype that is genetically correlated with both of these traits, has not yet been studied with genome-wide data. We conducted genome-wide association studies of three phenotypes: subjective well-being (n = 298,420), depressive symptoms (n = 161,460), and neuroticism (n = 170,911). We identify 3 variants associated with subjective well-being, 2 variants associated with depressive symptoms, and 11 variants associated with neuroticism, including 2 inversion polymorphisms. The two loci associated with depressive symptoms replicate in an independent depression sample. Joint analyses that exploit the high genetic correlations between the phenotypes (|ρ^| ≈ 0.8) strengthen the overall credibility of the findings and allow us to identify additional variants. Across our phenotypes, loci regulating expression in central nervous system and adrenal or pancreas tissues are strongly enriched for association.

21 June 2013 in Science
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Journal Article
Closed access
CRCornelius A. Rietveld
Cornelius A. Rietveld
SMSarah E. Medland
Sarah E. Medland
JDJaime Derringer
Jaime Derringer
JYJian Yang
Jian Yang
TETõnu Esko
Tõnu Esko
PKPhilipp D. Koellinger
Philipp D. Koellinger
Genetic College: Many genomic elements in humans are associated with behavior, including educational attainment. In a genome-wide association study including more than 100,000 samples, Rietveld et al. (p. 1467 , published online 30 May; see the Perspective by Flint and Munafò ) looked for genes related to educational attainment in Caucasians. Small genetic effects at three loci appeared to impact educational attainment.

8 June 2015 in Nature Neuroscience
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RPRobert A Power
Robert A Power
SSStacy Steinberg
Stacy Steinberg
GBGyda Bjornsdottir
Gyda Bjornsdottir
CRCornelius A Rietveld
Cornelius A Rietveld
AAAbdel Abdellaoui
Abdel Abdellaoui
KSKari Stefansson
Kari Stefansson

1 May 2009 in The Quarterly Journal of Economics
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Journal Article
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DCDavid Cesarini
David Cesarini
CDChristopher T. Dawes
Christopher T. Dawes
MJMagnus Johannesson
Magnus Johannesson
PLPaul Lichtenstein
Paul Lichtenstein
BWBjörn Wallace
Björn Wallace
In this paper, we use the classical twin design to provide estimates of genetic and environmental influences on experimentally elicited preferences f