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The Polygenic and Monogenic Basis of Blood Traits and Diseases.
Cell ( IF 45.5 ) Pub Date : 2020-09-03 , DOI: 10.1016/j.cell.2020.08.008
Dragana Vuckovic 1 , Erik L Bao 2 , Parsa Akbari 3 , Caleb A Lareau 4 , Abdou Mousas 5 , Tao Jiang 6 , Ming-Huei Chen 7 , Laura M Raffield 8 , Manuel Tardaguila 9 , Jennifer E Huffman 10 , Scott C Ritchie 11 , Karyn Megy 12 , Hannes Ponstingl 9 , Christopher J Penkett 13 , Patrick K Albers 9 , Emilie M Wigdor 9 , Saori Sakaue 14 , Arden Moscati 15 , Regina Manansala 16 , Ken Sin Lo 5 , Huijun Qian 17 , Masato Akiyama 18 , Traci M Bartz 19 , Yoav Ben-Shlomo 20 , Andrew Beswick 21 , Jette Bork-Jensen 22 , Erwin P Bottinger 23 , Jennifer A Brody 24 , Frank J A van Rooij 25 , Kumaraswamy N Chitrala 26 , Peter W F Wilson 27 , Hélène Choquet 28 , John Danesh 29 , Emanuele Di Angelantonio 29 , Niki Dimou 30 , Jingzhong Ding 31 , Paul Elliott 32 , Tõnu Esko 33 , Michele K Evans 26 , Stephan B Felix 34 , James S Floyd 35 , Linda Broer 36 , Niels Grarup 22 , Michael H Guo 37 , Qi Guo 38 , Andreas Greinacher 39 , Jeff Haessler 40 , Torben Hansen 22 , Joanna M M Howson 41 , Wei Huang 42 , Eric Jorgenson 28 , Tim Kacprowski 43 , Mika Kähönen 44 , Yoichiro Kamatani 45 , Masahiro Kanai 46 , Savita Karthikeyan 38 , Fotios Koskeridis 47 , Leslie A Lange 48 , Terho Lehtimäki 49 , Allan Linneberg 50 , Yongmei Liu 51 , Leo-Pekka Lyytikäinen 49 , Ani Manichaikul 52 , Koichi Matsuda 53 , Karen L Mohlke 8 , Nina Mononen 49 , Yoshinori Murakami 54 , Girish N Nadkarni 15 , Kjell Nikus 55 , Nathan Pankratz 56 , Oluf Pedersen 22 , Michael Preuss 15 , Bruce M Psaty 57 , Olli T Raitakari 58 , Stephen S Rich 52 , Benjamin A T Rodriguez 7 , Jonathan D Rosen 59 , Jerome I Rotter 60 , Petra Schubert 61 , Cassandra N Spracklen 62 , Praveen Surendran 63 , Hua Tang 64 , Jean-Claude Tardif 65 , Mohsen Ghanbari 66 , Uwe Völker 67 , Henry Völzke 68 , Nicholas A Watkins 69 , Stefan Weiss 67 , , Na Cai 9 , Kousik Kundu 70 , Stephen B Watt 9 , Klaudia Walter 9 , Alan B Zonderman 26 , Kelly Cho 71 , Yun Li 72 , Ruth J F Loos 15 , Julian C Knight 73 , Michel Georges 74 , Oliver Stegle 75 , Evangelos Evangelou 76 , Yukinori Okada 77 , David J Roberts 78 , Michael Inouye 79 , Andrew D Johnson 7 , Paul L Auer 16 , William J Astle 80 , Alexander P Reiner 81 , Adam S Butterworth 29 , Willem H Ouwehand 82 , Guillaume Lettre 65 , Vijay G Sankaran 4 , Nicole Soranzo 83
Affiliation  

Blood cells play essential roles in human health, underpinning physiological processes such as immunity, oxygen transport, and clotting, which when perturbed cause a significant global health burden. Here we integrate data from UK Biobank and a large-scale international collaborative effort, including data for 563,085 European ancestry participants, and discover 5,106 new genetic variants independently associated with 29 blood cell phenotypes covering a range of variation impacting hematopoiesis. We holistically characterize the genetic architecture of hematopoiesis, assess the relevance of the omnigenic model to blood cell phenotypes, delineate relevant hematopoietic cell states influenced by regulatory genetic variants and gene networks, identify novel splice-altering variants mediating the associations, and assess the polygenic prediction potential for blood traits and clinical disorders at the interface of complex and Mendelian genetics. These results show the power of large-scale blood cell trait GWAS to interrogate clinically meaningful variants across a wide allelic spectrum of human variation.



中文翻译:


血液性状和疾病的多基因和单基因基础。



血细胞在人类健康中发挥着重要作用,支持免疫、氧气运输和凝血等生理过程,当这些过程受到干扰时,会造成重大的全球健康负担。在这里,我们整合了来自英国生物银行和大规模国际合作项目的数据,包括 563,085 名欧洲血统参与者的数据,并发现了 5,106 个新的遗传变异,这些变异与 29 种血细胞表型独立相关,涵盖了一系列影响造血功能的变异。我们全面描述造血的遗传结构,评估全基因模型与血细胞表型的相关性,描绘受调控遗传变异和基因网络影响的相关造血细胞状态,识别介导关联的新剪接改变变异,并评估多基因预测复杂遗传学和孟德尔遗传学交汇处的血液特征和临床疾病的潜力。这些结果显示了大规模血细胞性状 GWAS 能够在人类变异的广泛等位基因谱中询问具有临床意义的变异。

更新日期:2020-09-03
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