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Accounting for population structure and haplotype diversity in whole genome scans for selection signatures
Accounting for population structure and haplotype diversity in whole genome scans for selection signatures
Tuesday, August 19, 2014
Posters (The Westin Bayshore)
Abstract Text: Genome scans for selection can be used to identifiy genes and
mutations underlying adaptive traits. The classical FST statistic
does not account for complex population history. As a single SNP
statistic, it is also not modelling linkage disequilibirum. We present
two new methods aimed at taking these phenomenons into
account. Through the study of a selection signature in a region
harbouring PLAG1, we illustrate how they can be used to reveal the
selective history of a QTL in cattle populations. Two datasets were
analyzed, a resequencing dataset on four international breeds and a
high-density genotyping dataset of 20 french breeds.
mutations underlying adaptive traits. The classical FST statistic
does not account for complex population history. As a single SNP
statistic, it is also not modelling linkage disequilibirum. We present
two new methods aimed at taking these phenomenons into
account. Through the study of a selection signature in a region
harbouring PLAG1, we illustrate how they can be used to reveal the
selective history of a QTL in cattle populations. Two datasets were
analyzed, a resequencing dataset on four international breeds and a
high-density genotyping dataset of 20 french breeds.
Keywords: Selection signatures, linkage disequilibrium,
population structure, PLAG1, cattle
