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Genetic relatedness analysis: modern data and new challenges

Weir, B; Anderson, A; Hepler, A; (2006) Genetic relatedness analysis: modern data and new challenges. Nature Reviews Genetics , 7 771 - 780. 10.1038/nrg1960.

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Abstract

Individuals who belong to the same family or the same population are related because of their shared ancestry. Population and quantitative genetics theory is built with parameters that describe relatedness, and the estimation of these parameters from genetic markers enables progress in fields as disparate as plant breeding, human disease gene mapping and forensic science. The large number of multiallelic microsatellite loci and biallelic SNPs that are now available have markedly increased the precision with which relationships can be estimated, although they have also revealed unexpected levels of genomic heterogeneity of relationship measures.

Type:Article
Title:Genetic relatedness analysis: modern data and new challenges
DOI:10.1038/nrg1960
Keywords:Kinship Analysis, Likelihood Estimation, Pairwise Relatedness, Coancestry, Population Genetics
UCL classification:UCL > School of BEAMS > Faculty of Maths and Physical Sciences > Statistical Science

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