Background: Chronic low-grade inflammation reflects a subclinical immune response implicated in the pathogenesis of complex diseases. Identifying genetic loci where DNA methylation is associated with chronic low-grade inflammation may reveal novel pathways or therapeutic targets for inflammation.
Results: We performed a meta-analysis of epigenome-wide association studies (EWAS) of serum C-reactive protein (CRP), which is a sensitive marker of low-grade inflammation, in a large European population (n = 8863) and trans-ethnic replication in African Americans (n = 4111). We found differential methylation at 218 CpG sites to be associated with CRP (P < 1.15 × 10–7) in the discovery panel of European ancestry and replicated (P < 2.29 × 10–4) 58 CpG sites (45 unique loci) among African Americans. To further characterize the molecular and clinical relevance of the findings, we examined the association with gene expression, genetic sequence variants, and clinical outcomes. DNA methylation at nine (16%) CpG sites was associated with whole blood gene expression in cis (P < 8.47 × 10–5), ten (17%) CpG sites were associated with a nearby genetic variant (P < 2.50 × 10–3), and 51 (88%) were also associated with at least one related cardiometabolic entity (P < 9.58 × 10–5). An additive weighted score of replicated CpG sites accounted for up to 6% inter-individual variation (R2) of age-adjusted and sex-adjusted CRP, independent of known CRP-related genetic variants.
Conclusion: We have completed an EWAS of chronic low-grade inflammation and identified many novel genetic loci underlying inflammation that may serve as targets for the development of novel therapeutic interventions for inflammation.
Digital Object Identifier (DOI)
The Atherosclerosis Risk in Communities (ARIC) study is carried out as a collaborative study supported by the National Heart, Lung, and Blood Institute (NHLBI) contracts (HHSN268201100005C, HHSN268201100006C, HHSN268201100007C, HHSN268201100008C, HHSN268201100009C, HHSN268201100010C, HHSN268201100011C, and HHSN268201100012C). Funding support for “Building on GWAS for NHLBI-diseases: the U.S. CHARGE consortium” was provided by the National Institutes of Health (NIH) through the American Recovery and Reinvestment Act of 2009 (ARRA) (5RC2HL102419).
Due to the large number of funding resources, only the first section of funding information is listed in the section above. For the complete list of funding resources, please download this article.
The DNA methylation datasets analyzed during the current study are available at the following public repositories: dbGAP (FHS: phs000724.v5.p10; GOLDN: phs000741.v1.p1; NAS: phs000853.v1.p1; WHI: phs000200.v10.p3), GEO (GTP: GSE72680), and EGA (LBC: EGAS00001000910). The DNA methylation dataset from ARIC is available on request at https://www2.cscc.unc.edu/aric/distribution-agreements; the CHS data can be requested at https://chs-nhlbi.org/node/6222; for the EPIC data contact Ken K. Ong (Ken.Ong@mrc-epid.cam.ac.uk); EPICOR data are available upon request from HuGeF (http://www.hugef-torino.org/) by means of a project agreement. Requests should be sent to email@example.com; for the GENOA data contact Sharon L.R. Kardia (firstname.lastname@example.org) and Jennifer A. Smith (email@example.com); the InCHIANTI data are available on request at http://inchiantistudy.net/wp/inchianti-dataset/; the KORA data can be requested at KORA-gen (http://www.helmholtz-muenchen.de/kora-gen); for the RS data, request at http://www.epib.nl/research/ergo.htm or contact M. Arfan Ikram (firstname.lastname@example.org). The genotype and expression datasets from the FHS are available in the dbGAP repository (phs000724.v5.p10, phs000363.v15.p10). The gene expression dataset from the GTP, InCHIANTI, and RS are available in the GEO repository (GSE58137, GSE48152, and GSE33828). The source codes used for the analysis are available to download from https://github.com/sligthart/EWAS-CRP and deposited at Zenodo.org under doi:10.5281/zenodo.166797.
Ligthart, Symen; Marzi, Carola; Aslibekyan, Stella; Mendelson, Michael M.; Conneely, Karen N.; Tanaka, Toshiko; Colicino, Elena; Waite, Lindsay L.; Joehanes, Roby; Guan, Weihua; Brody, Jennifer A.; Elks, Cathy; Marioni, Riccardo; Jhun, Min A.; Agha, Golareh; Bressler, Jan; Ward-Caviness, Cavin K.; Chen, Brian H.; Huan, Tianxiao; Bakulski, Kelly; Salfati, Elias L.; WHI-EMPC Investigators; Fiorito, Giovanni; CHARGE epigenetics of Coronary Heart Disease; Wahl, Simone; Schramm, Katharina; Sha, Jin; Hernandez, Dena G.; Just, Allan C.; Smith, Jennifer A.; and Arnett, Donna K., "DNA Methylation Signatures of Chronic Low-Grade Inflammation Are Associated with Complex Diseases" (2016). Epidemiology Faculty Publications. 16.
Additional file 1: Table S1.
13059_2016_1119_MOESM2_ESM.pdf (475 kB)
Additional file 2: Table S2.
13059_2016_1119_MOESM3_ESM.xlsx (41 kB)
Additional file 3: Table S3.
13059_2016_1119_MOESM4_ESM.pdf (330 kB)
Additional file 4: Table S4.
13059_2016_1119_MOESM5_ESM.xlsx (25 kB)
Additional file 5: Table S5.
13059_2016_1119_MOESM6_ESM.pdf (1036 kB)
Additional file 6: Figures S1-S4.
13059_2016_1119_MOESM7_ESM.xlsx (14 kB)
Additional file 7: Table S6.
13059_2016_1119_MOESM8_ESM.xlsx (12 kB)
Additional file 8: Table S7.
13059_2016_1119_MOESM9_ESM.xlsx (11 kB)
Additional file 9: Table S8.
13059_2016_1119_MOESM10_ESM.xlsx (12 kB)
Additional file 10: Table S9.
13059_2016_1119_MOESM11_ESM.pdf (335 kB)
Additional file 11: Table S10.
13059_2016_1119_MOESM12_ESM.pdf (339 kB)
Additional file 12: Table S11.
13059_2016_1119_MOESM13_ESM.pdf (1005 kB)
Additional file 13: Supplemental text.