Estimation of heritability from limited family data using genome-wide identity-by-descent sharing.

Genetics, Selection, Evolution : GSE
Jørgen Ødegård, Theo H E Meuwissen

Abstract

In classical pedigree-based analysis, additive genetic variance is estimated from between-family variation, which requires the existence of larger phenotyped and pedigreed populations involving numerous families (parents). However, estimation is often complicated by confounding of genetic and environmental family effects, with the latter typically occurring among full-sibs. For this reason, genetic variance is often inferred based on covariance among more distant relatives, which reduces the power of the analysis. This simulation study shows that genome-wide identity-by-descent sharing among close relatives can be used to quantify additive genetic variance solely from within-family variation using data on extremely small family samples. Identity-by-descent relationships among full-sibs were simulated assuming a genome size similar to that of humans (effective number of loci ~80). Genetic variance was estimated from phenotypic data assuming that genomic identity-by-descent relationships could be accurately re-created using information from genome-wide markers. The results were compared with standard pedigree-based genetic analysis. For a polygenic trait and a given number of phenotypes, the most accurate estimates of genetic var...Continue Reading

References

Aug 27, 2005·Genetic Epidemiology·Alain GagnonJ W Vaupel
Oct 10, 2007·American Journal of Human Genetics·Peter M VisscherNicholas G Martin
Mar 21, 2009·Genetics·D HabierJ C M Dekkers
Jan 29, 2010·Genetics, Selection, Evolution : GSE·Ole F Christensen, Mogens S Lund
Jul 24, 2010·Genetics, Selection, Evolution : GSE·Jørgen ØdegårdPer Madsen
May 10, 2011·Nature Genetics·Jian YangPeter M Visscher

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Citations

Sep 7, 2013·Genetics, Selection, Evolution : GSE·William G Hill
Jan 22, 2014·Genetics, Selection, Evolution : GSE·Jørgen Odegård, Theo H E Meuwissen
May 4, 2013·Animal Science Journal = Nihon Chikusan Gakkaihō·Toshio WatanabeYoshikazu Sugimoto
Jan 13, 2015·Genome Biology and Evolution·Ahmed Al-KhudhairAlexei Fedorov
Jul 10, 2019·The Journal of Heredity·Solomon BoisonNicholas Robinson
Jan 27, 2017·G3 : Genes - Genomes - Genetics·Blaise RatcliffeYousry A El-Kassaby
Mar 20, 2015·Journal of Animal Breeding and Genetics = Zeitschrift Für Tierzüchtung Und Züchtungsbiologie·T AasmundstadE Grindflek

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Methods Mentioned

BETA
genotyping

Software Mentioned

MATLAB
ASREML

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