Evidence map›Paper›PMID 38358994›Full record

ArticlePloS one2024

Interpreting polygenic score effects in sibling analysis.

Jason Fletcher, Yuchang Wu, Tianchang Li, Qiongshi Lu

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Quantifying direct genetic signal captured by principal component adjustment.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Genetics and Socioeconomic Status: Some Preliminary Evidence on Mechanisms.Journal of political economy microeconomics · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Causal interpretations of family GWAS in the presence of heterogeneous effects.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Genetic contributions of noncognitive skills to academic development.bioRxiv : the preprint server for biology · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. Luck, lottery, or legacy? The problem of confounding. A reply to Harden.Evolution; international journal of organic evolution · 2022
    Article
  19. Article
  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

4 authors.

Jason FletcherLa Follette School of Public Affairs, University of Wisconsin-Madison, Madison, WI, United States of America.ORCID 0000-0001-8843-0563
Yuchang WuCenter for Demography of Health and Aging, University of Wisconsin-Madison, Madison, WI, United States of America.
Tianchang LiCenter for Demography of Health and Aging, University of Wisconsin-Madison, Madison, WI, United States of America.
Qiongshi LuDepartment of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, United States of America.ORCID 0000-0002-4514-0969

Funding

Statistical Data Enclave CoreP30AG017266 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Michal Engelman · 1999 to 2026
$17.0M
NIA NIH HHS P30 AG017266
6 · The paper itself

Abstract

Researchers often claim that sibling analysis can be used to separate causal genetic effects from the assortment of biases that contaminate most downstream genetic studies (e.g. polygenic score predictors). Indeed, typical results from sibling analysis show large (>50%) attenuations in the associations between polygenic scores and phenotypes compared to non-sibling analysis, consistent with researchers' expectations about bias reduction. This paper explores these expectations by using family (quad) data and simulations that include indirect genetic effect processes and evaluates the ability of sibling analysis to uncover direct genetic effects of polygenic scores. We find that sibling analysis, in general, fail to uncover direct genetic effects; indeed, these models have both upward and downward biases that are difficult to sign in typical data. When genetic nurture effects exist, sibling analysis creates "measurement error" that attenuates associations between polygenic scores and phenotypes. As the correlation between direct and indirect effect changes, this bias can increase or decrease. Our findings suggest that interpreting results from sibling analysis aimed at uncovering direct genetic effects should be treated with caution.

Indexed as

Multifactorial InheritanceSiblingsBiasHumansPhenotype

Identifiers

PMID38358994
PMCPMC10868763

What OpenQuestion holds

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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.