Literature DB >> 25404112

Relatedness in the post-genomic era: is it still useful?

Doug Speed1, David J Balding2.   

Abstract

Relatedness is a fundamental concept in genetics but is surprisingly hard to define in a rigorous yet useful way. Traditional relatedness coefficients specify expected genome sharing between individuals in pedigrees, but actual genome sharing can differ considerably from these expected values, which in any case vary according to the pedigree that happens to be available. Nowadays, we can measure genome sharing directly from genome-wide single-nucleotide polymorphism (SNP) data; however, there are many such measures in current use, and we lack good criteria for choosing among them. Here, we review SNP-based measures of relatedness and criteria for comparing them. We discuss how useful pedigree-based concepts remain today and highlight opportunities for further advances in quantitative genetics, with a focus on heritability estimation and phenotype prediction.

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Year:  2014        PMID: 25404112     DOI: 10.1038/nrg3821

Source DB:  PubMed          Journal:  Nat Rev Genet        ISSN: 1471-0056            Impact factor:   53.242


  71 in total

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Journal:  Nat Genet       Date:  2006-07-09       Impact factor: 38.330

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10.  Describing the genetic architecture of epilepsy through heritability analysis.

Authors:  Doug Speed; Terence J O'Brien; Aarno Palotie; Kirill Shkura; Anthony G Marson; David J Balding; Michael R Johnson
Journal:  Brain       Date:  2014-07-26       Impact factor: 13.501

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4.  Model-free Estimation of Recent Genetic Relatedness.

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5.  Genome-wide Associations Reveal Human-Mouse Genetic Convergence and Modifiers of Myogenesis, CPNE1 and STC2.

Authors:  Ana I Hernandez Cordero; Natalia M Gonzales; Clarissa C Parker; Greta Sokolof; David J Vandenbergh; Riyan Cheng; Mark Abney; Andrew Sko; Alex Douglas; Abraham A Palmer; Jennifer S Gregory; Arimantas Lionikas
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6.  Genomic evidence for MHC disassortative mating in humans.

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7.  Estimating Seven Coefficients of Pairwise Relatedness Using Population-Genomic Data.

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8.  Joint Estimation of Relatedness Coefficients and Allele Frequencies from Ancient Samples.

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Review 9.  The Y chromosome as the most popular marker in genetic genealogy benefits interdisciplinary research.

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10.  Genome-Wide Estimates of Heritability for Social Demographic Outcomes.

Authors:  Benjamin W Domingue; Robbee Wedow; Dalton Conley; Matt McQueen; Thomas J Hoffmann; Jason D Boardman
Journal:  Biodemography Soc Biol       Date:  2016
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