Whole-genome analysis of plasma fibrinogen reveals population-differentiated genetic regulators with putative liver roles.

IF 21 1区 医学 Q1 HEMATOLOGY Blood Pub Date : 2024-11-21 DOI:10.1182/blood.2023022596
Jennifer E Huffman, Jayna Nicholas, Julie Hahn, Adam S Heath, Laura M Raffield, Lisa R Yanek, Jennifer A Brody, Florian Thibord, Laura Almasy, Traci M Bartz, Lawrence F Bielak, Russell P Bowler, Germán D Carrasquilla, Daniel I Chasman, Ming-Huei Chen, David B Emmert, Mohsen Ghanbari, Jeffrey Haessler, Jouke-Jan Hottenga, Marcus E Kleber, Ngoc-Quynh Le, Jiwon Lee, Joshua P Lewis, Ruifang Li-Gao, Jian'an Luan, Anni Malmberg, Massimo Mangino, Riccardo E Marioni, Angel Martinez-Perez, Nathan Pankratz, Ozren Polasek, Anne Richmond, Benjamin A T Rodriguez, Jerome I Rotter, Maristella Steri, Pierre Suchon, Stella Trompet, Stefan Weiss, Marjan Zare, Paul Auer, Michael H Cho, Paraskevi Christofidou, Gail Davies, Eco de Geus, Jean-François Deleuze, Graciela E Delgado, Lynette Ekunwe, Nauder Faraday, Martin Gögele, Andreas Greinacher, He Gao, Tom Howard, Peter K Joshi, Tuomas O Kilpeläinen, Jari Lahti, Allan Linneberg, Silvia Naitza, Raymond Noordam, Ferran Paüls-Vergés, Stephen S Rich, Frits R Rosendaal, Igor Rudan, Kathleen A Ryan, Juan Carlos Souto, Frank J A van Rooij, Heming Wang, Wei Zhao, Lewis C Becker, Andrew Beswick, Michael R Brown, Brian E Cade, Harry Campbell, Kelly Cho, James D Crapo, Joanne E Curran, Moniek P M de Maat, Margaret Doyle, Paul Elliott, James S Floyd, Christian Fuchsberger, Niels Grarup, Xiuqing Guo, Sarah E Harris, Lifang Hou, Ivana Kolcic, Charles Kooperberg, Cristina Menni, Matthias Nauck, Jeffrey R O'Connell, Valeria Orrù, Bruce M Psaty, Katri Räikkönen, Jennifer A Smith, Jose Manuel Soria, David J Stott, Astrid van Hylckama Vlieg, Hugh Watkins, Gonneke Willemsen, Peter W F Wilson, Yoav Ben-Shlomo, John Blangero, Dorret Boomsma, Simon R Cox, Abbas Dehghan, Johan G Eriksson, Edoardo Fiorillo, Myriam Fornage, Torben Hansen, Caroline Hayward, M Arfan Ikram, J Wouter Jukema, Sharon L R Kardia, Leslie A Lange, Winfried März, Rasika A Mathias, Braxton D Mitchell, Dennis O Mook-Kanamori, Pierre-Emmanuel Morange, Oluf Pedersen, Peter P Pramstaller, Susan Redline, Alexander Reiner, Paul M Ridker, Edwin K Silverman, Tim D Spector, Uwe Völker, Nicholas J Wareham, James F Wilson, Jie Yao, David-Alexandre Trégouët, Andrew D Johnson, Alisa S Wolberg, Paul S de Vries, Maria Sabater-Lleal, Alanna C Morrison, Nicholas L Smith
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Compared with array-based genotyping, whole-genome sequencing (WGS) data provide better coverage of the genome and better representation of non-European variants. To better understand the genetic landscape regulating plasma fibrinogen levels, we meta-analyzed WGS data from the National Heart, Lung, and Blood Institute's Trans-Omics for Precision Medicine (TOPMed) program (n = 32 572), with array-based genotype data from the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium (n = 131 340) imputed to the TOPMed or Haplotype Reference Consortium panel. We identified 18 loci that have not been identified in prior genetic studies of fibrinogen. Of these, 4 are driven by common variants of small effect with reported minor allele frequency (MAF) at least 10 percentage points higher in African populations. Three signals (SERPINA1, ZFP36L2, and TLR10) contain predicted deleterious missense variants. Two loci, SOCS3 and HPN, each harbor 2 conditionally distinct, noncoding variants. The gene region encoding the fibrinogen protein chain subunits (FGG;FGB;FGA) contains 7 distinct signals, including 1 novel signal driven by rs28577061, a variant common in African ancestry populations but extremely rare in Europeans (MAFAFR = 0.180; MAFEUR = 0.008). Through phenome-wide association studies in the VA Million Veteran Program, we found associations between fibrinogen polygenic risk scores and thrombotic and inflammatory disease phenotypes, including an association with gout. Our findings demonstrate the utility of WGS to augment genetic discovery in diverse populations and offer new insights for putative mechanisms of fibrinogen regulation.</p>","PeriodicalId":9102,"journal":{"name":"Blood","volume":" ","pages":"2248-2265"},"PeriodicalIF":21.0000,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Blood","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1182/blood.2023022596","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEMATOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Abstract: Genetic studies have identified numerous regions associated with plasma fibrinogen levels in Europeans, yet missing heritability and limited inclusion of non-Europeans necessitates further studies with improved power and sensitivity. Compared with array-based genotyping, whole-genome sequencing (WGS) data provide better coverage of the genome and better representation of non-European variants. To better understand the genetic landscape regulating plasma fibrinogen levels, we meta-analyzed WGS data from the National Heart, Lung, and Blood Institute's Trans-Omics for Precision Medicine (TOPMed) program (n = 32 572), with array-based genotype data from the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium (n = 131 340) imputed to the TOPMed or Haplotype Reference Consortium panel. We identified 18 loci that have not been identified in prior genetic studies of fibrinogen. Of these, 4 are driven by common variants of small effect with reported minor allele frequency (MAF) at least 10 percentage points higher in African populations. Three signals (SERPINA1, ZFP36L2, and TLR10) contain predicted deleterious missense variants. Two loci, SOCS3 and HPN, each harbor 2 conditionally distinct, noncoding variants. The gene region encoding the fibrinogen protein chain subunits (FGG;FGB;FGA) contains 7 distinct signals, including 1 novel signal driven by rs28577061, a variant common in African ancestry populations but extremely rare in Europeans (MAFAFR = 0.180; MAFEUR = 0.008). Through phenome-wide association studies in the VA Million Veteran Program, we found associations between fibrinogen polygenic risk scores and thrombotic and inflammatory disease phenotypes, including an association with gout. Our findings demonstrate the utility of WGS to augment genetic discovery in diverse populations and offer new insights for putative mechanisms of fibrinogen regulation.

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血浆纤维蛋白原的全基因组分析揭示了具有潜在肝脏作用的群体差异遗传调节因子。
遗传学研究发现了许多与欧洲人血浆纤维蛋白原水平相关的区域,但由于遗传性缺失以及非欧洲人的纳入有限,因此有必要进一步开展研究,提高研究的功率和灵敏度。与基于阵列的基因分型相比,全基因组测序(WGS)数据能更好地覆盖基因组,更好地代表非欧洲人的变异。为了更好地了解调控血浆纤维蛋白原水平的遗传格局,我们对来自美国国家HLBI的跨奥米克斯精准医学(TOPMed)项目(n=32,572)的WGS数据,以及来自基因组流行病学中的心脏和衰老研究队列(CHARGE)联盟(n=131,340)的基于阵列的基因型数据进行了元分析,并将其归入TOPMed或单体型参考联盟面板。我们发现了 18 个在之前的纤维蛋白原基因研究中尚未发现的基因位点。其中,4 个位点是由常见的小效应变异驱动的,据报道,这些变异在非洲人群中的 MAF 至少高出 10 个百分点。三个信号(SERPINA1、ZFP36L2 和 TLR10)含有预测的有害错义变异。两个基因座(SOCS3 和 HPN)分别含有两个条件不同的非编码变异体。编码纤维蛋白原蛋白链亚基(FGG;FGB;FGA)的基因区域包含 7 个不同的信号,包括一个由 rs28577061 驱动的新信号,该变异在非洲血统人群中常见,但在欧洲人中极为罕见(MAFAFR=0.180;MAFEUR=0.008)。通过退伍军人协会百万退伍军人计划的全表型关联研究,我们发现了纤维蛋白多基因风险评分与血栓性和炎症性疾病表型之间的关联,包括与痛风的关联。我们的研究结果证明了 WGS 在不同人群中提高基因发现能力的实用性,并为纤维蛋白原的假定调控机制提供了新的见解。
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来源期刊
Blood
Blood 医学-血液学
CiteScore
23.60
自引率
3.90%
发文量
955
审稿时长
1 months
期刊介绍: Blood, the official journal of the American Society of Hematology, published online and in print, provides an international forum for the publication of original articles describing basic laboratory, translational, and clinical investigations in hematology. Primary research articles will be published under the following scientific categories: Clinical Trials and Observations; Gene Therapy; Hematopoiesis and Stem Cells; Immunobiology and Immunotherapy scope; Myeloid Neoplasia; Lymphoid Neoplasia; Phagocytes, Granulocytes and Myelopoiesis; Platelets and Thrombopoiesis; Red Cells, Iron and Erythropoiesis; Thrombosis and Hemostasis; Transfusion Medicine; Transplantation; and Vascular Biology. Papers can be listed under more than one category as appropriate.
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