Evidence map›Paper›PMID 40065166›Full record

ArticleNature genetics2025

Family-based genome-wide association study designs for increased power and robustness.

Junming Guan, Tammy Tan, Seyed Moeen Nehzati, Michael Bennett, Patrick Turley, Daniel J Benjamin, Alexander Strudwick Young

Abstract read
In one paragraph

Article in Nature genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. [Association analysis between genetic nurturing effects ofBeijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Genetic Burden andJournal of personalized medicine · 2026
    Article
  9. Methods for modeling gene-environment interplay using polygenic risk scores.Statistical applications in genetics and molecular biology · 2026
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

7 authors.

Junming GuanUCLA Anderson School of Management, Los Angeles, CA, USA. junm.guan@gmail.com.ORCID http://orcid.org/0000-0003-3144-0757
Tammy TanNational Bureau of Economic Research, Cambridge, MA, USA.
Seyed Moeen NehzatiUCLA Anderson School of Management, Los Angeles, CA, USA.
Michael BennettNational Bureau of Economic Research, Cambridge, MA, USA.ORCID http://orcid.org/0000-0002-0446-1029
Patrick TurleyDepartment of Economics, University of Southern California, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0003-3643-8605
Daniel J BenjaminUCLA Anderson School of Management, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-2642-5416
Alexander Strudwick YoungUCLA Anderson School of Management, Los Angeles, CA, USA. alextisyoung@gmail.com.ORCID http://orcid.org/0000-0001-9930-989X

Funding

Mendelian imputation for family-based GWAS and association-by-proxy in diverse ancestriesR01AG083379 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Alexander Thomas Ian Strudwick Young · 2023 to 2026
$3.1M
Studying the Genetics of Aging, Behavioral, and Social Phenotypes in Diverse Populations-SupplementR01AG081518 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Patrick Ansel Turley · 2023 to 2026
$3.0M
Genome-Wide Analyses of Health and Well-Being PhenotypesR01AG042568 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BENJAMIN, DANIEL J · 2015 to 2021
$2.8M
Infrastructure and Core Activities of the Social Science Genetic Association ConsortiumR24AG065184 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BENJAMIN, DANIEL J · 2019 to 2023
$1.8M
Creating and disseminating resources for the genomics and omics of behavioral and social phenotypesR24AG089055 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Daniel J Benjamin · 2024 to 2026
$1.2M
NIA NIH HHS R01 AG042568NIA NIH HHS R01 AG081518NIA NIH HHS R01 AG083379NIA NIH HHS R24 AG065184NIA NIH HHS R24 AG089055
6 · The paper itself

Abstract

Family-based genome-wide association studies (FGWASs) use random, within-family genetic variation to remove confounding from estimates of direct genetic effects (DGEs). Here we introduce a 'unified estimator' that includes individuals without genotyped relatives, unifying standard and FGWAS while increasing power for DGE estimation. We also introduce a 'robust estimator' that is not biased in structured and/or admixed populations. In an analysis of 19 phenotypes in the UK Biobank, the unified estimator in the White British subsample and the robust estimator (applied without ancestry restrictions) increased the effective sample size for DGEs by 46.9% to 106.5% and 10.3% to 21.0%, respectively, compared to using genetic differences between siblings. Polygenic predictors derived from the unified estimator demonstrated superior out-of-sample prediction ability compared to other family-based methods. We implemented the methods in the software package snipar in an efficient linear mixed model that accounts for sample relatedness and sibling shared environment.

Indexed as

Genome-Wide Association StudyFamilyFemaleGenotypeHumansModels, GeneticMultifactorial InheritancePedigreePhenotypePolymorphism, Single NucleotideSiblingsSoftwareUnited Kingdom

Identifiers

PMID40065166
PMCPMC11985344

What OpenQuestion holds

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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.