Review
Nature Reviews Genetics 7, 771-780 (October 2006) | doi:10.1038/nrg1960
Focus on: Statistical Analysis
Genetic relatedness analysis: modern data and new challenges
Bruce S. Weir1, Amy D. Anderson1 & Amanda B. Hepler2 About the authors
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.
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Author affiliations
- Department of Biostatistics, University of Washington, BOX 357232, Seattle, Washington 98195-7232, USA.
- Department of Statistical Science, University College London, Gower Street, London WC1E 6BT, UK.
Correspondence to: Bruce S. Weir1 Email: bsweir@u.washington.edu
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