Evidence map›Paper›PMID 33118912›Full record

ArticleDevelopment and psychopathology2022

How nonshared environmental factors come to correlate with heredity.

Christopher R Beam, Patrizia Pezzoli, Jane Mendle, S Alexandra Burt, Michael C Neale, Steven M Boker, Pamela K Keel, Kelly L Klump

Abstract readTwin Study
In one paragraph

Article in Development and psychopathology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Christopher R BeamDepartment of Psychology, University of Southern California, Los Angeles, CA, USA.ORCID 0000-0001-6827-409X
Patrizia PezzoliDepartment of Psychology, Åbo Akademi University, Abo, Finland.ORCID 0000-0002-2425-5249
Jane MendleDepartment of Human Development, Cornell University, Ithaca, NY, USA.
S Alexandra BurtDepartment of Psychology, Michigan State University, East Lansing, MI, USA.
Michael C NealeVirginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA.
Steven M BokerDepartment of Psychology, University of Virginia, Charlottesville, VA, USA.ORCID 0000-0003-2117-8548
Pamela K KeelDepartment of Psychology, Florida State University, Tallahassee, FL, USA.
Kelly L KlumpDepartment of Psychology, Michigan State University, East Lansing, MI, USA.

Funding

RESEARCH TRAINING IN GERONTOLOGYT32AG000037 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JENNIFER A AILSHIRE, EILEEN M CRIMMINS · 1985 to 2026
$13.2M
A twin study of ovarian hormones and disordered eatingR01MH082054 · NIMH · MICHIGAN STATE UNIVERSITY · PI KLUMP, KELLY L · 2008 to 2012
$3.1M
Extensions of Mendelian Randomization Methodology for Combined Genomic and Methylomic AnalysisR01DA049867 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI NEALE, MICHAEL CHURTON · 2020 to 2024
$1.9M
NIA NIH HHS T32 AG000037NIDA NIH HHS R01 DA049867NIMH NIH HHS R01 MH082054
6 · The paper itself

Abstract

Conventional longitudinal behavioral genetic models estimate the relative contribution of genetic and environmental factors to stability and change of traits and behaviors. Longitudinal models rarely explain the processes that generate observed differences between genetically and socially related individuals. We propose that exchanges between individuals and their environments (i.e., phenotype-environment effects) can explain the emergence of observed differences over time. Phenotype-environment models, however, would require violation of the independence assumption of standard behavioral genetic models; that is, uncorrelated genetic and environmental factors. We review how specification of phenotype-environment effects contributes to understanding observed changes in genetic variability over time and longitudinal correlations among nonshared environmental factors. We then provide an example using 30 days of positive and negative affect scores from an all-female sample of twins. Results demonstrate that the phenotype-environment effects explain how heritability estimates fluctuate as well as how nonshared environmental factors persist over time. We discuss possible mechanisms underlying change in gene-environment correlation over time, the advantages and challenges of including gene-environment correlation in longitudinal twin models, and recommendations for future research.

Indexed as

HeredityFemaleHumansPhenotypeTwinsaffectdevelopmental behavioral geneticsgene–environment interplaylongitudinal modelingmood

Identifiers

PMID33118912
PMCPMC8081739

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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.