Evidence map›Paper›PMID 41190516›Full record

ArticleProceedings. Biological sciences2025

Confounding fuels misinterpretation in human genetics.

John W Benning, Jedidiah Carlson, Olivia S Smith, Ruth G Shaw, Arbel Harpak

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Quantifying direct genetic signal captured by principal component adjustment.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Confounding fuels misinterpretation in human genetics.Proceedings. Biological sciences · 2025
    Article
  3. Impediments to countering racist pseudoscience.Evolutionary human sciences · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

John W Benning *Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, USA.
Jedidiah Carlson *Department of Integrative Biology, The University of Texas at Austin, Austin, TX, USA.
Olivia S SmithDepartment of Integrative Biology, The University of Texas at Austin, Austin, TX, USA.
Ruth G ShawDepartment of Ecology, Evolution and Behavior, University of Minnesota, Minneapolis, MN, USA.
Arbel HarpakDepartment of Integrative Biology, The University of Texas at Austin, Austin, TX, USA.ORCID 0000-0002-3655-748X

Funding

Making Genomic Prediction of Complex Disease EquitableR35GM151108 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI Arbel Harpak · 2023 to 2026
$1.6M
National Science FoundationNIGMS NIH HHS R35 GM151108NIHNSF Graduate Research FellowshipPew Charitable Trusts
6 · The paper itself

Abstract

The scientific literature has seen a resurgence of interest in genetic influences on human behaviour and socioeconomic outcomes. Such studies face the central difficulty of distinguishing possible causal influences, in particular genetic and non-genetic ones. When confounding between possible influences is not rigorously addressed, it invites over- and misinterpretation of data. We illustrate the breadth of this problem through a discussion of the literature and a reanalysis of two examples. The first paper we discuss suggested that patterns of similarity in social status between relatives indicate that social status is largely determined by one's DNA. Our reanalysis shows that the paper's conclusions are based on the conflation of genetic and non-genetic transmission (for example, of wealth) within families. The second paper we discuss posited that genetic variants underlying bisexual behaviour are maintained in the population because they also affect risk-taking behaviour and thereby confer an evolutionary fitness advantage through increased sexual promiscuity. In this case, too, our reanalysis shows that, though possible explanations cannot be distinguished, only one is chosen and presented as a conclusion. We discuss how issues of confounding apply more broadly to studies that claim to establish genetic underpinnings to human behaviour and societal outcomes.

Indexed as

Human GeneticsGenetic VariationHumansRisk-TakingSocial Statusassociation studiesconfoundinggeneticsgenomic predictionhumansocial science genomics

Identifiers

PMID41190516
PMCPMC12587318

What OpenQuestion holds

Textmetadata
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.