1. Inference of identity by descent in population isolates and optimal sequencing studies
- Author
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Sarah H. Wild, Paul M. McKeigue, James F. Wilson, Ruth McQuillan, Chris Haley, Dominik Glodzik, Pau Navarro, Igor Rudan, Malcolm G. Dunlop, Harry Campbell, Alan F. Wright, Veronique Vitart, and Caroline Hayward
- Subjects
Adult ,Reproductive Isolation ,Adolescent ,Genetics, Medical ,Population ,Biology ,Polymorphism, Single Nucleotide ,Sensitivity and Specificity ,Genome ,Identity by descent ,Article ,03 medical and health sciences ,Genotype ,Genetics ,Humans ,SNP ,education ,Genetics (clinical) ,Aged ,030304 developmental biology ,Aged, 80 and over ,Islands ,0303 health sciences ,education.field_of_study ,030305 genetics & heredity ,Haplotype ,Sequence Analysis, DNA ,Middle Aged ,Pedigree ,Haplotypes ,Genetic Loci ,Sample size determination ,Case-Control Studies ,Algorithms ,SNP array - Abstract
In an isolated population, individuals are likely to share large genetic regions inherited from common ancestors. Identity by descent (IBD) can be inferred from SNP genotypes, which is useful in a number of applications, including identifying genetic variants influencing complex disease risk, and planning efficient cohort-sequencing strategies. We present ANCHAP – a method for detecting IBD in isolated populations. We compare accuracy of the method against other long-range and local phasing methods, using parent–offspring trios. In our experiments, we show that ANCHAP performs similarly as the other long-range method, but requires an order-of-magnitude less computational resources. A local phasing model is able to achieve similar sensitivity, but only at the cost of higher false discovery rates. In some regions of the genome, the studied individuals share haplotypes particularly often, which hints at the history of the populations studied. We demonstrate the method using SNP genotypes from three isolated island populations, as well as in a cohort of unrelated individuals. In samples from three isolated populations of around 1000 individual each, an average individual shares a haplotype at a genetic locus with 9–12 other individuals, compared with only 1 individual within the non-isolated population. We describe an application of ANCHAP to optimally choose samples in resequencing studies. We find that with sample sizes of 1000 individuals from an isolated population genotyped using a dense SNP array, and with 20% of these individuals sequenced, 65% of sequences of the unsequenced subjects can be partially inferred.
- Published
- 2013