DNA methylation analysis is used to identify novel genetic loci associated with circulating fibrinogen levels in blood.
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Hahn Julie, Bressler Jan, Domingo-Relloso Arce, Chen Ming-Huei, McCartney Daniel L, Teumer Alexander, van Dongen Jenny, Kleber Marcus E, Aïssi Dylan, Swenson Brenton R, Yao Jie, Zhao Wei, Huang Jian, Xia Yujing, Brown Michael R, Costeira Ricardo, de Geus Eco J C, Delgado Graciela E, Dobson Dre'Von A, Elliott Paul, Grabe Hans J, Guo Xiuqing, Harris Sarah E, Huffman Jennifer E, Kardia Sharon L R, Liu Yongmei, Lorkowski Stefan, Marioni Riccardo E, Nauck Matthias, Ratliff Scott M, Sabater-Lleal Maria, Spector Tim D, Suchon Pierre, Taylor Kent D, Thibord Florian, Trégouët David-Alexandre, Wiggins Kerri L, Willemsen Gonneke, Bell Jordana T, Boomsma Dorret I, Cole Shelley A, Cox Simon R, Dehghan Abbas, Greinacher Andreas, Haack Karin, März Winfried, Morange Pierre-Emmanuel, Rotter Jerome I, Sotoodehnia Nona, Tellez-Plaza Maria, Navas-Acien Ana, Smith Jennifer A, Johnson Andrew D, Fornage Myriam, Smith Nicholas L, Wolberg Alisa S, Morrison Alanna C, de Vries Paul S
Аннотация
OBJECTIVES: To perform an EWAS to examine an association between blood DNA methylation levels and circulating fibrinogen levels to better understand its biological and pathophysiological actions.
METHODS: We performed an epigenome-wide association study of circulating fibrinogen levels in 18 037 White, Black, American Indian, and Hispanic participants, representing 14 studies from the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium. Circulating leukocyte DNA methylation was measured using the Illumina 450K array in 12 904 participants and using the EPIC array in 5133 participants. In each study, an epigenome-wide association study of fibrinogen was performed using linear mixed models adjusted for potential confounders. Study-specific results were combined using array-specific meta-analysis, followed by cross-replication of epigenome-wide significant associations. We compared models with and without CRP adjustment to examine the role of inflammation.
RESULTS: We identified 208 and 87 significant CpG sites associated with fibrinogen levels from the 450K (p < 1.03 × 10-7) and EPIC arrays (p < 5.78 × 10-8), respectively. There were 78 associations from the 450K array that replicated in the EPIC array and 26 vice versa. After accounting for overlapping sites, there were 83 replicated CpG sites located in 61 loci, of which only 4 have been previously reported for fibrinogen. The examples of genes located near these CpG sites were SOCS3 and AIM2, which are involved in inflammatory pathways. The associations of all 83 replicated CpG sites were attenuated after CRP adjustment, although many remained significant.
CONCLUSION: We identified 83 CpG sites associated with circulating fibrinogen levels. These associations are partially driven by inflammatory pathways shared by both fibrinogen and CRP.