{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Huffman JE"],"funding":["BLRD VA","NHLBI NIH HHS","NIMHD NIH HHS","NNF Center for Basic Metabolic Research"],"pagination":["2248-2265"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11600029"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["144(21)"],"pubmed_abstract":["<h4>Abstract</h4>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 "],"journal":["Blood"],"pubmed_title":["Whole-genome analysis of plasma fibrinogen reveals population-differentiated genetic regulators with putative liver roles."],"pmcid":["PMC11600029"],"funding_grant_id":["Hansen Group","R01 HL134894","R01 HL120393","R01 HL113323","R01 HL141291","R01 HL117626","R01 HL153805","Kilpeläinen Group","U01 HL120393","HHSN268201800001C","I01 BX004821","R01 HL139553","R01 HL126974","P01 HL045522","R01 HL105756","R01 MD012564"],"pubmed_authors":["Ekunwe L","Pankratz N","Psaty BM","Faraday N","Kardia SLR","Lewis JP","Guo X","Jukema JW","Rosendaal FR","Bielak LF","Morrison AC","Luan J","Menni C","Chasman DI","Kleber ME","Harris SE","Carrasquilla GD","Ikram MA","Mook-Kanamori DO","O'Connell JR","Hayward C","Dehghan A","Nicholas J","Floyd JS","Boomsma D","Beswick A","Reiner A","Greinacher A","Hahn J","Bartz TM","Watkins H","Suchon P","Redline S","Souto JC","Cox SR","Wolberg AS","Marioni RE","Noordam R","Davies G","Tregouet DA","Yanek LR","Becker LC","Malmberg A","Huffman JE","Zare M","Lee J","Zhao W","Blangero J","Silverman EK","Sabater-Lleal M","Li-Gao R","Howard T","Brown MR","Wareham NJ","Smith JA","Ridker PM","van Rooij FJA","Almasy L","Raikkonen K","Wilson PWF","Volker U","Richmond A","Mathias RA","Chen MH","Orru V","Kooperberg C","Naitza S","Grarup N","Auer P","Mitchell BD","de Vries PS","Gogele M","Rotter JI","Kolcic I","Johnson AD","de Geus E","Rich SS","Elliott P","Gao H","Wang H","Stott DJ","Wilson JF","Haessler J","Emmert DB","Bowler RP","Curran JE","Spector TD","Pauls-Verges F","Rodriguez BAT","Joshi PK","Lahti J","Yao J","Raffield LM","Willemsen G","Morange PE","Eriksson JG","Cho MH","Fiorillo E","Kilpelainen TO","Deleuze JF","Brody JA","Heath AS","Lange LA","Fornage M","Marz W","Linneberg A","van Hylckama Vlieg A","Polasek O","Soria JM","Christofidou P","Crapo JD","Fuchsberger C","Thibord F","Smith NL","Cho K","Pramstaller PP","Mangino M","Weiss S","de Maat MPM","Nauck M","Ryan KA","Hottenga JJ","Martinez-Perez A","Ghanbari M","Rudan I","Pedersen O","Hou L","Campbell H","Hansen T","Delgado GE","Cade BE","Steri M","Ben-Shlomo Y","Le NQ","Doyle M","Trompet S"],"additional_accession":[]},"is_claimable":false,"name":"Whole-genome analysis of plasma fibrinogen reveals population-differentiated genetic regulators with putative liver roles.","description":"<h4>Abstract</h4>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 ","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Nov","modification":"2026-06-05T17:47:22.171Z","creation":"2026-05-19T03:11:55.804Z"},"accession":"S-EPMC11600029","cross_references":{"pubmed":["39226462"],"doi":["10.1182/blood.2023022596"]}}