Evidence map›Paper›PMID 39556747›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

Genes, culture, and scientific racism.

Kevin N Lala, Marcus W Feldman

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Confounding fuels misinterpretation in human genetics.Proceedings. Biological sciences · 2025
    Article
  4. Confounding Fuels Misinterpretation in Human Genetics.bioRxiv : the preprint server for biology · 2025
    Article
  5. Review
  6. Principles and Policy Recommendations for Comprehensive Genetic Data Governance.Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society · 2025
    Article
  7. Impediments to countering racist pseudoscience.Evolutionary human sciences · 2025
    Article
  8. Article
  9. Half a century of quantitative cultural evolution.Proceedings of the National Academy of Sciences of the United States of America · 2024
    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

2 authors.

Kevin N LalaSchool of Biology, Centre for Biological Diversity, University of St. Andrews, St. Andrews KY16 9TF, United Kingdom.
Marcus W FeldmanDepartment of Biology, Stanford University, Stanford, CA 94305.ORCID 0000-0002-0664-3803

Funding

John Templeton Foundation (JTF) 61809
6 · The paper itself

Abstract

Quantitative studies of cultural evolution and gene-culture coevolution (henceforth "CE" and "GCC") emerged in the 1970s, in the aftermath of the "race and intelligence quotient (IQ)" and "human sociobiology" debates, as a counter to extreme hereditarian positions. These studies incorporated cultural transmission and its interaction with genetics in contributing to patterns of human variation. Neither CE nor GCC results were consistent with racist claims of ubiquitous genetic differences between socially defined races. We summarize how genetic data refute the notion of racial substructure for human populations and address naive interpretations of race across the biological sciences, including those related to ancestry, health, and intelligence, that help to perpetuate racist ideas. A GCC perspective can refute reductionist and determinist claims while providing a more inclusive multidisciplinary framework in which to interpret human variation.

Indexed as

RacismCultural EvolutionCultureGenetic VariationHumansRacial Groupsgene-by-environment interactiongene-culture coevolutionheritability

Identifiers

PMID39556747
PMCPMC11621800

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.