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Efficient Estimation of Realized Kinship from Single Nucleotide Polymorphism Genotypes
Author(s) -
Bowen Wang,
Serge Sverdlov,
E. A. Thompson
Publication year - 2017
Publication title -
genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.792
H-Index - 246
eISSN - 1943-2631
pISSN - 0016-6731
DOI - 10.1534/genetics.116.197004
Subject(s) - biology , genetics , kinship , genotype , single nucleotide polymorphism , polymorphism (computer science) , gene , political science , law
Realized kinship is a key statistic in analyses of genetic data involving relatedness of individuals or structure of populations. There are several... Realized kinship is a key statistic in analyses of genetic data involving relatedness of individuals or structure of populations. There are several estimators of kinship that make use of dense SNP genotypes. We introduce a class of estimators, of which some existing estimators are special cases. Within this class, we derive properties of the estimators and determine an optimal estimator. Additionally, we introduce an alternative marker weighting that takes allelic associations [linkage disequilibrium (LD)] into account, and apply this weighting to several estimators. In a simulation study, we show that improved estimators are obtained (1) by optimal weighting of markers, (2) by taking physical contiguity of genome into account, and (3) by weighting on the basis of LD.

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