Recombination map tailored to Native Hawaiians may improve robustness of genomic scans for positive selection

IF 3.8 2区 生物学 Q2 GENETICS & HEREDITY
Bryan L. Dinh, Echo Tang, Kekoa Taparra, Nathan Nakatsuka, Fei Chen, Charleston W. K. Chiang
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引用次数: 0

Abstract

Recombination events establish the patterns of haplotypic structure in a population and estimates of recombination rates are used in several downstream population and statistical genetic analyses. Using suboptimal maps from distantly related populations may reduce the efficacy of genomic analyses, particularly for underrepresented populations such as the Native Hawaiians. To overcome this challenge, we constructed recombination maps using genome-wide array data from two study samples of Native Hawaiians: one reflecting the current admixed state of Native Hawaiians (NH map) and one based on individuals of enriched Polynesian ancestries (PNS map) with the potential to be used for less admixed Polynesian populations such as the Samoans. We found the recombination landscape to be less correlated with those from other continental populations (e.g. Spearman’s rho = 0.79 between PNS and CEU (Utah residents with Northern and Western European ancestry) compared to 0.92 between YRI (Yoruba in Ibadan, Nigeria) and CEU at 50 kb resolution), likely driven by the unique demographic history of the Native Hawaiians. PNS also shared the fewest recombination hotspots with other populations (e.g. 8% of hotspots shared between PNS and CEU compared to 27% of hotspots shared between YRI and CEU). We found that downstream analyses in the Native Hawaiian population, such as local ancestry inference, imputation, and IBD segment and relatedness detections, would achieve similar efficacy when using the NH map compared to an omnibus map. However, for genome scans of adaptive loci using integrated haplotype scores, we found several loci with apparent genome-wide significant signals (|Z-score|> 4) in Native Hawaiians that would not have been significant when analyzed using NH-specific maps. Population-specific recombination maps may therefore improve the robustness of haplotype-based statistics and help us better characterize the evolutionary history that may underlie Native Hawaiian-specific health conditions that persist today.

Abstract Image

为夏威夷原住民量身定制的重组图谱可提高基因组扫描正向选择的稳健性
重组事件确定了一个种群的单倍型结构模式,重组率的估计值被用于若干下游种群和统计遗传分析。使用来自远缘种群的次优图谱可能会降低基因组分析的效率,特别是对于夏威夷原住民等代表性不足的种群。为了克服这一难题,我们利用来自两个夏威夷原住民研究样本的全基因组阵列数据构建了重组图谱:一个反映了夏威夷原住民目前的混血状态(NH 图谱),另一个基于富含波利尼西亚血统的个体(PNS 图谱),有可能用于萨摩亚人等混血程度较低的波利尼西亚人群。我们发现重组景观与其他大陆人群的重组景观相关性较低(例如,PNS 与 CEU(具有北欧和西欧血统的犹他州居民)之间的 Spearman's rho = 0.79,而在 50 kb 分辨率下,YRI(尼日利亚伊巴丹的约鲁巴人)与 CEU 之间的 Spearman's rho = 0.92),这可能是夏威夷原住民独特的人口历史造成的。夏威夷原住民与其他种群共享的重组热点也最少(例如,夏威夷原住民与中欧大学共享的热点为 8%,而 YRI 与中欧大学共享的热点为 27%)。我们发现,在夏威夷原住民种群中进行下游分析,如本地祖先推断、估算、IBD片段和亲缘关系检测,使用NH图谱与使用综合图谱的效果相似。然而,在使用整合单倍型得分对适应性位点进行基因组扫描时,我们发现夏威夷原住民中有几个位点具有明显的全基因组显著信号(|Z-score|> 4),而这些信号在使用夏威夷原住民特异性图谱进行分析时并不显著。因此,种群特异性重组图谱可能会提高基于单倍型统计的稳健性,并帮助我们更好地描述夏威夷原住民特异性健康状况的进化史。
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来源期刊
Human Genetics
Human Genetics 生物-遗传学
CiteScore
10.80
自引率
3.80%
发文量
94
审稿时长
1 months
期刊介绍: Human Genetics is a monthly journal publishing original and timely articles on all aspects of human genetics. The Journal particularly welcomes articles in the areas of Behavioral genetics, Bioinformatics, Cancer genetics and genomics, Cytogenetics, Developmental genetics, Disease association studies, Dysmorphology, ELSI (ethical, legal and social issues), Evolutionary genetics, Gene expression, Gene structure and organization, Genetics of complex diseases and epistatic interactions, Genetic epidemiology, Genome biology, Genome structure and organization, Genotype-phenotype relationships, Human Genomics, Immunogenetics and genomics, Linkage analysis and genetic mapping, Methods in Statistical Genetics, Molecular diagnostics, Mutation detection and analysis, Neurogenetics, Physical mapping and Population Genetics. Articles reporting animal models relevant to human biology or disease are also welcome. Preference will be given to those articles which address clinically relevant questions or which provide new insights into human biology. Unless reporting entirely novel and unusual aspects of a topic, clinical case reports, cytogenetic case reports, papers on descriptive population genetics, articles dealing with the frequency of polymorphisms or additional mutations within genes in which numerous lesions have already been described, and papers that report meta-analyses of previously published datasets will normally not be accepted. The Journal typically will not consider for publication manuscripts that report merely the isolation, map position, structure, and tissue expression profile of a gene of unknown function unless the gene is of particular interest or is a candidate gene involved in a human trait or disorder.
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