Evidence map›Paper›PMID 25195166›Full record

ArticleBehavior genetics2014

Genotype-environment correlation in the era of DNA.

Robert Plomin

Abstract read
In one paragraph

Article in Behavior genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Research Review: A review of the past decade of family and genomic studies on adolescent mental health.Journal of child psychology and psychiatry, and allied disciplines · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Genetic contributions of noncognitive skills to academic development.bioRxiv : the preprint server for biology · 2023
    Article
  11. Article
  12. Direct and Indirect Genetic Effects on Aggression.Biological psychiatry global open science · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Research Review: A guide to computing and implementing polygenic scores in developmental research.Journal of child psychology and psychiatry, and allied disciplines · 2022
    Review
  17. Review
  18. Review
  19. Twin studies to GWAS: there and back again.Trends in cognitive sciences · 2021
    Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Robert PlominMRC Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King's College London, PO80, De Crespigny Park, London, SE5 8AF, UK, robert.plomin@kcl.ac.uk.

Funding

Genetics, School environments and cognitive developmentR01HD044454 · NICHD · KING'S COLLEGE LONDON · PI PLOMIN, ROBERT · 2005 to 2014
$3.4M
Genetics of Mathematical Cognition and DisabilitiesR01HD059215 · NICHD · OHIO STATE UNIVERSITY · PI PETRILL, STEPHEN A. · 2009 to 2012
$2.4M
Medical Research Council G0500079Medical Research Council G0901245Medical Research Council G19/2NICHD NIH HHS HD044454NICHD NIH HHS HD059215NICHD NIH HHS R01 HD044454NICHD NIH HHS R01 HD059215Wellcome TrustWellcome Trust 085475/B/08/ZWellcome Trust 085475/Z/08/Z
6 · The paper itself

Abstract

One of John Loehlin's many contributions to the field of behavioral genetics involves gene-environment (GE) correlation. The empirical base for GE correlation was research showing that environmental measures are nearly as heritable as behavioral measures and that genetic factors mediate correlations between environment and behavior. Attempts to identify genes responsible for these phenomena will come up against the 'missing heritability' problem that plagues DNA research on complex traits throughout the life sciences. However, DNA can also be used for quantitative genetic analyses of unrelated individuals (Genome-wide Complex Trait Analysis, GCTA) to investigate genetic influence on environmental measures and their behavioral correlates. A novel feature of GCTA is that it enables genetic analysis of family-level environments (e.g., parental socioeconomic status) and school-level environments (e.g., teaching quality) that cannot be investigated using within-family designs such as the twin method. An important implication of GE correlation is its shift from a passive model of the environment imposed on individuals to an active model in which individuals actively create their own experiences in part on the basis of their genetic propensities.

Indexed as

BehaviorGene-Environment InteractionMultifactorial InheritanceQuantitative Trait, HeritableChildChild, PreschoolEducational StatusGenetics, BehavioralGenome-Wide Association StudyHumansPolymorphism, Single NucleotideSocial Class

Identifiers

PMID25195166
PMCPMC4234822

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.