混合人群疾病制图的新方法。
New approaches to disease mapping in admixed populations.
机构信息
Department of Biochemistry and Molecular Medicine, University of California Davis, Davis, California, USA.
出版信息
Nat Rev Genet. 2011 Jun 28;12(8):523-8. doi: 10.1038/nrg3002.
Abstract
Admixed populations such as African Americans and Hispanic Americans are often medically underserved and bear a disproportionately high burden of disease. Owing to the diversity of their genomes, these populations have both advantages and disadvantages for genetic studies of complex phenotypes. Advances in statistical methodologies that can infer genetic contributions from ancestral populations may yield new insights into the aetiology of disease and may contribute to the applicability of genomic medicine to these admixed population groups.
摘要
混合人群，如非裔美国人和西班牙裔美国人，通常在医疗服务方面得不到充分满足，并且承担着不成比例的高疾病负担。由于他们基因组的多样性，这些人群在复杂表型的遗传研究中既有优势也有劣势。可以从祖先群体推断遗传贡献的统计方法的进步，可能会为疾病的病因学提供新的见解，并有助于将基因组医学应用于这些混合人群。
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