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Trans-ethnic and Ancestry-Specific Blood-Cell Genetics in 746,667 Individuals from 5 Global Populations.
Cell ( IF 45.5 ) Pub Date : 2020-09-03 , DOI: 10.1016/j.cell.2020.06.045
Ming-Huei Chen 1 , Laura M Raffield 2 , Abdou Mousas 3 , Saori Sakaue 4 , Jennifer E Huffman 5 , Arden Moscati 6 , Bhavi Trivedi 7 , Tao Jiang 8 , Parsa Akbari 9 , Dragana Vuckovic 10 , Erik L Bao 11 , Xue Zhong 12 , Regina Manansala 13 , Véronique Laplante 14 , Minhui Chen 15 , Ken Sin Lo 3 , Huijun Qian 16 , Caleb A Lareau 11 , Mélissa Beaudoin 3 , Karen A Hunt 7 , Masato Akiyama 17 , Traci M Bartz 18 , Yoav Ben-Shlomo 19 , Andrew Beswick 20 , Jette Bork-Jensen 21 , Erwin P Bottinger 22 , Jennifer A Brody 23 , Frank J A van Rooij 24 , Kumaraswamynaidu Chitrala 25 , Kelly Cho 26 , Hélène Choquet 27 , Adolfo Correa 28 , John Danesh 29 , Emanuele Di Angelantonio 30 , Niki Dimou 31 , Jingzhong Ding 32 , Paul Elliott 33 , Tõnu Esko 34 , Michele K Evans 25 , James S Floyd 35 , Linda Broer 36 , Niels Grarup 21 , Michael H Guo 37 , Andreas Greinacher 38 , Jeff Haessler 39 , Torben Hansen 21 , Joanna M M Howson 40 , Qin Qin Huang 10 , Wei Huang 41 , Eric Jorgenson 27 , Tim Kacprowski 42 , Mika Kähönen 43 , Yoichiro Kamatani 44 , Masahiro Kanai 45 , Savita Karthikeyan 8 , Fotis Koskeridis 46 , Leslie A Lange 47 , Terho Lehtimäki 48 , Markus M Lerch 49 , Allan Linneberg 50 , Yongmei Liu 51 , Leo-Pekka Lyytikäinen 48 , Ani Manichaikul 52 , Hilary C Martin 10 , Koichi Matsuda 53 , Karen L Mohlke 2 , Nina Mononen 48 , Yoshinori Murakami 54 , Girish N Nadkarni 6 , Matthias Nauck 55 , Kjell Nikus 56 , Willem H Ouwehand 57 , Nathan Pankratz 58 , Oluf Pedersen 21 , Michael Preuss 6 , Bruce M Psaty 59 , Olli T Raitakari 60 , David J Roberts 61 , Stephen S Rich 52 , Benjamin A T Rodriguez 1 , Jonathan D Rosen 62 , Jerome I Rotter 63 , Petra Schubert 5 , Cassandra N Spracklen 64 , Praveen Surendran 65 , Hua Tang 66 , Jean-Claude Tardif 67 , Richard C Trembath 68 , Mohsen Ghanbari 69 , Uwe Völker 70 , Henry Völzke 71 , Nicholas A Watkins 72 , Alan B Zonderman 25 , , Peter W F Wilson 73 , Yun Li 74 , Adam S Butterworth 75 , Jean-François Gauchat 14 , Charleston W K Chiang 76 , Bingshan Li 77 , Ruth J F Loos 6 , William J Astle 78 , Evangelos Evangelou 79 , David A van Heel 7 , Vijay G Sankaran 11 , Yukinori Okada 80 , Nicole Soranzo 81 , Andrew D Johnson 1 , Alexander P Reiner 82 , Paul L Auer 13 , Guillaume Lettre 67
Affiliation  

Most loci identified by GWASs have been found in populations of European ancestry (EUR). In trans-ethnic meta-analyses for 15 hematological traits in 746,667 participants, including 184,535 non-EUR individuals, we identified 5,552 trait-variant associations at p < 5 × 10−9, including 71 novel associations not found in EUR populations. We also identified 28 additional novel variants in ancestry-specific, non-EUR meta-analyses, including an IL7 missense variant in South Asians associated with lymphocyte count in vivo and IL-7 secretion levels in vitro. Fine-mapping prioritized variants annotated as functional and generated 95% credible sets that were 30% smaller when using the trans-ethnic as opposed to the EUR-only results. We explored the clinical significance and predictive value of trans-ethnic variants in multiple populations and compared genetic architecture and the effect of natural selection on these blood phenotypes between populations. Altogether, our results for hematological traits highlight the value of a more global representation of populations in genetic studies.



中文翻译:


来自全球 5 个人群的 746,667 名个体的跨种族和血统特异性血细胞遗传学。



GWAS 识别的大多数基因座都在欧洲血统 (EUR) 人群中发现。在对 746,667 名参与者(包括 184,535 名非欧元个体)的 15 种血液学特征进行跨种族荟萃分析中,我们在 p < 5 × 10 -9下确定了 5,552 个特征变异关联,其中包括 71 个在欧元人群中未发现的新关联。我们还在血统特异性、非 EUR 荟萃分析中鉴定了 28 个其他新变异,包括南亚人中与体内淋巴细胞计数和体外IL-7 分泌水平相关的IL7错义变异。精细映射优先考虑注释为功能性的变体,并生成 95% 的可信集,与仅使用欧元的结果相比,使用跨种族的结果时,该集的大小要小 30%。我们探讨了多个人群中跨种族变异的临床意义和预测价值,并比较了人群之间的遗传结构和自然选择对这些血液表型的影响。总而言之,我们的血液学特征结果凸显了在遗传研究中更具有全球代表性的人群的价值。

更新日期:2020-09-03
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