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Báo cáo y học: "Dating the age of admixture via wavelet transform analysis of genome-wide data."

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Wertheim cung cấp cho các bạn kiến thức về ngành y đề tài: Dating the age of admixture via wavelet transform analysis of genome-wide data. | Pugach et al. Genome Biology 2011 12 R19 http genomebiology.eom content 12 2 R19 Genome Biology METHOD Open Access Dating the age of admixture via wavelet transform analysis of genome-wide data Irina Pugach 1 Rostislav Matveyev2 Andreas Wollstein3 4 Manfred Kayser4 Mark Stoneking1 Abstract We describe a PCA-based genome scan approach to analyze genome-wide admixture structure and introduce wavelet transform analysis as a method for estimating the time of admixture. We test the wavelet transform method with simulations and apply it to genome-wide SNP data from eight admixed human populations. The wavelet transform method offers better resolution than existing methods for dating admixture and can be applied to either SNP or sequence data from humans or other species. Background An admixed population arises when individuals from two or more distinct populations start exchanging genetic material. Studying admixed populations can be particularly useful for understanding differences in disease prevalence and drug response among different populations. There is ample evidence that human populations have different susceptibility to diseases exhibiting substantial variation in risk allele frequencies 1 . For example genetic predisposition to asthma differs among the differentially-admixed Hispanic populations of the Unite d States with the highest prevalence observed in Puerto Ricans. Genetic variants responsible for the increased asthma prevalence in this population were localized using an admixture mapping approach 2 . This method allows the identification of disease causing variants by estimating ancestry along the genome and narrowing the search to the genomic regions with ancestry from a population that has a greater risk for the disease 3 4 . The same approach was used to identify genetic loci that influence susceptibility to obesity which is about 1.5-fold more prevalent in African-Americans than in European-Americans 5 . Admixed populations are also of interest to .