Relatedness mapping and tracts of relatedness for genome-wide data in the presence of linkage disequilibrium
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Relatedness mapping and tracts of relatedness for genome-wide data in the presence of linkage disequilibrium. / Albrechtsen, Anders; Korneliussen, Thorfinn Sand; Moltke, Ida; van Overseem Hansen, Thomas; Nielsen, Finn Cilius; Nielsen, Rasmus.
In: Genetic Epidemiology, Vol. 33, No. 3, 2009, p. 266-274.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Relatedness mapping and tracts of relatedness for genome-wide data in the presence of linkage disequilibrium
AU - Albrechtsen, Anders
AU - Korneliussen, Thorfinn Sand
AU - Moltke, Ida
AU - van Overseem Hansen, Thomas
AU - Nielsen, Finn Cilius
AU - Nielsen, Rasmus
N1 - Keywords identity by descent • relatedness • hidden Markov model • linkage • association • complex disease • genome-wide analysis • SNP
PY - 2009
Y1 - 2009
N2 - Estimates of relatedness have several applications such as the identification of relatives or in identifying disease related genes through identity by descent (IBD) mapping. Here we present a new method for identifying IBD tracts among individuals from genome-wide single nucleotide polymorphisms data. We use a continuous time Markov model where the hidden states are the number of alleles shared IBD between pairs of individuals at a given position. In contrast to previous methods, our method accurately accounts for linkage disequilibrium using pairwise haplotype probabilities. The method provides a map of the local relatedness along the genome. We illustrate the potential of the method for mapping disease genes on a real data set, and show that the method has the potential to map causative disease mutations using only a handful of affected individuals. The new IBD mapping method provides considerable improvement in mapping power in natural populations compared to standard association mapping methods. Genet. Epidemiol. 2008. (c) 2008 Wiley-Liss, Inc.
AB - Estimates of relatedness have several applications such as the identification of relatives or in identifying disease related genes through identity by descent (IBD) mapping. Here we present a new method for identifying IBD tracts among individuals from genome-wide single nucleotide polymorphisms data. We use a continuous time Markov model where the hidden states are the number of alleles shared IBD between pairs of individuals at a given position. In contrast to previous methods, our method accurately accounts for linkage disequilibrium using pairwise haplotype probabilities. The method provides a map of the local relatedness along the genome. We illustrate the potential of the method for mapping disease genes on a real data set, and show that the method has the potential to map causative disease mutations using only a handful of affected individuals. The new IBD mapping method provides considerable improvement in mapping power in natural populations compared to standard association mapping methods. Genet. Epidemiol. 2008. (c) 2008 Wiley-Liss, Inc.
U2 - 10.1002/gepi.20378
DO - 10.1002/gepi.20378
M3 - Journal article
C2 - 19025785
VL - 33
SP - 266
EP - 274
JO - Genetic Epidemiology
JF - Genetic Epidemiology
SN - 0741-0395
IS - 3
ER -
ID: 10457557