Evidence map›Paper›PMID 33454873›Full record

ArticleBehavior genetics2021

Modeling Parent-Specific Genetic Nurture in Families with Missing Parental Genotypes: Application to Birthweight and BMI.

Justin D Tubbs, Liang-Dar Hwang, Justin Luong, David M Evans, Pak C Sham

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In one paragraph

Article in Behavior genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Assessing the contribution of genetic nurture to refractive error.European journal of human genetics : EJHG · 2022
    Article
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Justin D TubbsDepartment of Psychiatry, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China.ORCID http://orcid.org/0000-0002-6671-6816
Liang-Dar HwangUniversity of Queensland Diamantina Institute, University of Queensland, Brisbane, Australia.
Justin LuongUniversity of Queensland Diamantina Institute, University of Queensland, Brisbane, Australia.
David M EvansUniversity of Queensland Diamantina Institute, University of Queensland, Brisbane, Australia.
Pak C ShamDepartment of Psychiatry, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China. pcsham@hku.hk.

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MC_UU_12013/4National Health and Medical Research Council APP1137714National Health and Medical Research Council GNT1125200National Health and Medical Research Council GNT1157714National Health and Medical Research Council GNT1183074
6 · The paper itself

Abstract

Disaggregation and estimation of genetic effects from offspring and parents has long been of interest to statistical geneticists. Recently, technical and methodological advances have made the genome-wide and loci-specific estimation of direct offspring and parental genetic nurture effects more possible. However, unbiased estimation using these methods requires datasets where both parents and at least one child have been genotyped, which are relatively scarce. Our group has recently developed a method and accompanying software (IMPISH; Hwang et al. in PLoS Genet 16:e1009154, 2020) which is able to impute missing parental genotypes from observed data on sibships and estimate their effects on an offspring phenotype conditional on the effects of genetic transmission. However, this method is unable to disentangle maternal and paternal effects, which may differ in magnitude and direction. Here, we introduce an extension to the original IMPISH routine which takes advantage of all available nuclear families to impute parent-specific missing genotypes and obtain asymptotically unbiased estimates of genetic effects on offspring phenotypes. We apply this this method to data from related individuals in the UK Biobank, showing concordance with previous estimates of maternal genetic effects on offspring birthweight. We also conduct the first GWAS jointly estimating offspring-, maternal-, and paternal-specific genetic effects on body-mass index.

Indexed as

AllelesBirth WeightBody Mass IndexFamilyGene-Environment InteractionGenome-Wide Association StudyGenomicsGenotypeHumansLikelihood FunctionsMaternal InheritanceModels, GeneticModels, TheoreticalParentsPaternal InheritancePhenotypeBirthweightBMIGenetic nurtureImputationParental genetic effectStatistical genetics

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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.