Evidence map›Paper›PMID 35681053›Full record

ArticleNature genetics2022

Mendelian imputation of parental genotypes improves estimates of direct genetic effects.

Alexander I Young, Seyed Moeen Nehzati, Stefania Benonisdottir, Aysu Okbay, Hariharan Jayashankar, Chanwook Lee, David Cesarini, Daniel J Benjamin, Patrick Turley, Augustine Kong

Abstract read
In one paragraph

Article in Nature genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed, 3 pooled it
–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

81 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  12. Indirect genetic effects of siblings.Journal of child psychology and psychiatry, and allied disciplines · 2026
    Article
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  16. [Association analysis between genetic nurturing effects ofBeijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2026
    Article
  17. Article
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  19. A sibling study of variation in parental mutation rates.bioRxiv : the preprint server for biology · 2026
    Article
  20. Estimating uncertainty in family-based GWAS.bioRxiv : the preprint server for biology · 2026
    Article

21 more citing papers are in PubMed but not listed here.

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

10 authors.

Alexander I YoungBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK. alextisyoung@gmail.com.ORCID http://orcid.org/0000-0001-9930-989X
Seyed Moeen NehzatiCenter for Economic and Social Research, University of Southern California, Los Angeles, CA, USA.
Stefania BenonisdottirBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK.
Aysu OkbayDepartment of Economics, School of Business and Economics, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
Hariharan JayashankarNational Bureau of Economic Research, Cambridge, MA, USA.
Chanwook LeeDepartment of Economics, Harvard University, Cambridge, MA, USA.
David CesariniNational Bureau of Economic Research, Cambridge, MA, USA.
Daniel J BenjaminUCLA Anderson School of Management, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-2642-5416
Patrick TurleyCenter for Economic and Social Research, University of Southern California, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0003-3643-8605
Augustine KongBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK. augustine.kong@bdi.ox.ac.uk.ORCID http://orcid.org/0000-0001-8193-5438

Funding

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
Genome-wide analysis of late-onset Alzheimer's disease using intergenerational, multi-trait, and cross-ancestry dataR00AG062787 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TURLEY, PATRICK ANSEL · 2021 to 2023
$747k
Estimating assortative mating, its history, and its future effect on genetic variance for health, behavioral, and ancestry phenotypes using crosssectionaldataR21AG067585 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TURLEY, PATRICK ANSEL · 2020 to 2021
$466k
Genome-wide analysis of late-onset Alzheimer's disease using intergenerational, multi-trait, and cross-ancestry dataK99AG062787 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI TURLEY, PATRICK ANSEL · 2019 to 2020
$263k
Medical Research Council MC_PC_17228Medical Research Council MC_QA137853NIA NIH HHS K99 AG062787NIA NIH HHS R00 AG062787NIA NIH HHS R01 AG042568NIA NIH HHS R21 AG067585NIA NIH HHS R24 AG065184
6 · The paper itself

Abstract

Effects estimated by genome-wide association studies (GWASs) include effects of alleles in an individual on that individual (direct genetic effects), indirect genetic effects (for example, effects of alleles in parents on offspring through the environment) and bias from confounding. Within-family genetic variation is random, enabling unbiased estimation of direct genetic effects when parents are genotyped. However, parental genotypes are often missing. We introduce a method that imputes missing parental genotypes and estimates direct genetic effects. Our method, implemented in the software package snipar (single-nucleotide imputation of parents), gives more precise estimates of direct genetic effects than existing approaches. Using 39,614 individuals from the UK Biobank with at least one genotyped sibling/parent, we estimate the correlation between direct genetic effects and effects from standard GWASs for nine phenotypes, including educational attainment (r = 0.739, standard error (s.e.) = 0.086) and cognitive ability (r = 0.490, s.e. = 0.086). Our results demonstrate substantial confounding bias in standard GWASs for some phenotypes.

Indexed as

Genome-Wide Association StudyPolymorphism, Single NucleotideGenotypeHumansParentsSoftware

Identifiers

PMID35681053
PMCPMC9197765

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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.