Evidence map›Paper›PMID 23927501›Full record

ArticleAmerican journal of public health2013

Why it is hard to find genes associated with social science traits: theoretical and empirical considerations.

Christopher F Chabris, James J Lee, Daniel J Benjamin, Jonathan P Beauchamp, Edward L Glaeser, Gregoire Borst, Steven Pinker, David I Laibson

Erratum issuedAbstract read
In one paragraph

Article in American journal of public health, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 26 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
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  15. The genetics of human personality.Genes, brain, and behavior · 2018
    Review
  16. A Genomically Informed Education System? Challenges for Behavioral Genetics.The Journal of law, medicine & ethics : a journal of the American Society of Law, Medicine & Ethics · 2018
    Article
  17. Sensorimotor Learning: Neurocognitive Mechanisms and Individual Differences.Journal of neuroengineering and rehabilitation · 2017
    Review
  18. Review
  19. Review
  20. Article
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

8 authors.

Christopher F ChabrisChristopher F. Chabris is with the Department of Psychology, Union College, Schenectady, NY. James J. Lee, Gregoire Borst, and Steven Pinker are with the Department of Psychology, Harvard University, Cambridge, MA. Daniel J. Benjamin is with the Department of Economics, Cornell University, Ithaca, NY. Jonathan P. Beauchamp, Edward L. Glaeser, and David I. Laibson are with the Department of Economics, Harvard University.
James J Lee
Daniel J Benjamin
Jonathan P Beauchamp
Edward L Glaeser
Gregoire Borst
Steven Pinker
David I Laibson

Funding

NBER Training Program in Aging and Health EconomicsT32AG000186 · NIA · NATIONAL BUREAU OF ECONOMIC RESEARCH · PI CUTLER, DAVID M, FINKELSTEIN, AMY N. · 1989 to 2024
$9.6M
NIA NIH HHS T32 AG000186NIA NIH HHS T32-AG00186
6 · The paper itself

Abstract

objectivesWe explain why traits of interest to behavioral scientists may have a genetic architecture featuring hundreds or thousands of loci with tiny individual effects rather than a few with large effects and why such an architecture makes it difficult to find robust associations between traits and genes.

methodsWe conducted a genome-wide association study at 2 sites, Harvard University and Union College, measuring more than 100 physical and behavioral traits with a sample size typical of candidate gene studies. We evaluated predictions that alleles with large effect sizes would be rare and most traits of interest to social science are likely characterized by a lack of strong directional selection. We also carried out a theoretical analysis of the genetic architecture of traits based on R.A. Fisher's geometric model of natural selection and empirical analyses of the effects of selection bias and phenotype measurement stability on the results of genetic association studies.

resultsAlthough we replicated several known genetic associations with physical traits, we found only 2 associations with behavioral traits that met the nominal genome-wide significance threshold, indicating that physical and behavioral traits are mainly affected by numerous genes with small effects.

conclusionsThe challenge for social science genomics is the likelihood that genes are connected to behavioral variation by lengthy, nonlinear, interactive causal chains, and unraveling these chains requires allying with personal genomics to take advantage of the potential for large sample sizes as well as continuing with traditional epidemiological studies.

Indexed as

GenesSocial SciencesAdolescentAdultBehaviorBiological PhenomenaEye ColorFemaleGenetic ResearchGenome-Wide Association StudyHair ColorHumansMalePersonalityPolymorphism, Single NucleotideSelection, Genetic

Identifiers

PMID23927501
PMCPMC3778125

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.