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Haplotype Sharing Provides Insights into Fine-Scale Population History and Disease in Finland

机译:单倍型共享为芬兰的微尺度人口历史和疾病提供了见解

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Finland provides unique opportunities to investigate population and medical genomics because of its adoption of unified national electronic health records, detailed historical and birth records, and serial population bottlenecks. We assembled a comprehensive view of recent population history (≤100 generations), the timespan during which most rare-disease-causing alleles arose, by comparing pairwise haplotype sharing from 43,254 Finns to that of 16,060 Swedes, Estonians, Russians, and Hungarians from geographically and?linguistically adjacent countries with different population histories. We find much more extensive sharing in Finns, with at least one ≥ 5 cM tract on average between pairs of unrelated individuals. By coupling haplotype sharing with fine-scale birth records from more than 25,000 individuals, we find that although haplotype sharing broadly decays with geographical distance, there are pockets of excess haplotype sharing; individuals from northeast Finland typically share several-fold more of their genome in identity-by-descent segments than individuals from southwest regions. We estimate recent effective population-size changes through time across regions of Finland, and we find that there was more continuous gene flow as Finns migrated from southwest to northeast between the early- and late-settlement regions than was dichotomously described previously. Lastly, we show that haplotype sharing is locally enriched by an order of magnitude among pairs of individuals sharing rare alleles and especially among pairs sharing rare disease-causing variants. Our work provides a general framework for using haplotype sharing to reconstruct an integrative view of recent population history and gain insight into the evolutionary origins of rare variants contributing to disease.
机译:芬兰提供了独特的机会,以调查人口和医学基因组学,因为它采用统一的国家电子健康记录,详细的历史和出生记录以及连续人口瓶颈。我们组装了近期人口历史(≤100代)的全面观点,即通过将43,254条芬德斯,爱沙尼亚人,俄罗斯人和匈牙利人从地理位置比较,通过将两种稀有疾病引起的等位基因进行了全面的人口历史(≤100代)。和?邻近人群历史的邻近国家。我们在芬兰人身上发现了更广泛的共享,平均在无关的个人对之间的至少一个≥5厘米。通过从超过25,000人的细微出生记录耦合单倍型共享,我们发现虽然单倍型共享地理距离,但有多余的单倍型共享存在口袋;来自东北芬兰的个体通常在逐个细分体系中与来自西南地区的个体分享多种基因组。我们估计芬兰地区的时间估计有效的人口大小的变化,我们发现,随着从西南迁移到早期和后期和后期和后期和后期和后期和后期和后期和后期和后期和后期和后期和后期和后期和后期和后期和后期的芬兰人的芬兰人。最后,我们表明单倍型共享在分享稀有等位基因的成对对中,局部富集,尤其是分配罕见的疾病导致变体。我们的工作为使用单倍型共享提供了一般框架,以重建最近的人口历史的一体化视图,并深入了解有助于疾病的罕见变种的进化起源。

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