Person: Just, Allan C.
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Publication DNA methylation age of blood predicts all-cause mortality in later life
(BioMed Central, 2015) Marioni, Riccardo E; Shah, Sonia; McRae, Allan F; Chen, Brian H; Colicino, Elena; Harris, Sarah E; Gibson, Jude; Henders, Anjali K; Redmond, Paul; Cox, Simon R; Pattie, Alison; Corley, Janie; Murphy, Lee; Martin, Nicholas G; Montgomery, Grant W; Feinberg, Andrew P; Fallin, M Daniele; Multhaup, Michael L; Jaffe, Andrew E; Joehanes, Roby; Schwartz, Joel; Just, Allan C.; Lunetta, Kathryn L; Murabito, Joanne M; Starr, John M; Horvath, Steve; Baccarelli, Andrea; Levy, Daniel; Visscher, Peter M; Wray, Naomi R; Deary, Ian JBackground: DNA methylation levels change with age. Recent studies have identified biomarkers of chronological age based on DNA methylation levels. It is not yet known whether DNA methylation age captures aspects of biological age. Results: Here we test whether differences between people’s chronological ages and estimated ages, DNA methylation age, predict all-cause mortality in later life. The difference between DNA methylation age and chronological age (Δage) was calculated in four longitudinal cohorts of older people. Meta-analysis of proportional hazards models from the four cohorts was used to determine the association between Δage and mortality. A 5-year higher Δage is associated with a 21% higher mortality risk, adjusting for age and sex. After further adjustments for childhood IQ, education, social class, hypertension, diabetes, cardiovascular disease, and APOE e4 status, there is a 16% increased mortality risk for those with a 5-year higher Δage. A pedigree-based heritability analysis of Δage was conducted in a separate cohort. The heritability of Δage was 0.43. Conclusions: DNA methylation-derived measures of accelerated aging are heritable traits that predict mortality independently of health status, lifestyle factors, and known genetic factors. Electronic supplementary material The online version of this article (doi:10.1186/s13059-015-0584-6) contains supplementary material, which is available to authorized users.
Publication DNA methylation signatures of chronic low-grade inflammation are associated with complex diseases
(BioMed Central, 2016) 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.; Fiorito, Giovanni; Wahl, Simone; Schramm, Katharina; Sha, Jin; Hernandez, Dena G.; Just, Allan C.; Smith, Jennifer A.; Sotoodehnia, Nona; Pilling, Luke C.; Pankow, James S.; Tsao, Phil S.; Liu, Chunyu; Zhao, Wei; Guarrera, Simonetta; Michopoulos, Vasiliki J.; Smith, Alicia K.; Peters, Marjolein J.; Melzer, David; Vokonas, Pantel; Fornage, Myriam; Prokisch, Holger; Bis, Joshua C.; Chu, Audrey Y.; Herder, Christian; Grallert, Harald; Yao, Chen; Shah, Sonia; McRae, Allan F.; Lin, Honghuang; Horvath, Steve; Fallin, Daniele; Hofman, Albert; Wareham, Nicholas J.; Wiggins, Kerri L.; Feinberg, Andrew P.; Starr, John M.; Visscher, Peter M.; Murabito, Joanne M.; Kardia, Sharon L. R.; Absher, Devin M.; Binder, Elisabeth B.; Singleton, Andrew B.; Bandinelli, Stefania; Peters, Annette; Waldenberger, Melanie; Matullo, Giuseppe; Schwartz, Joel; Demerath, Ellen W.; Uitterlinden, André G.; van Meurs, Joyce B. J.; Franco, Oscar H.; Chen, Yii-Der Ida; Levy, Daniel; Turner, Stephen T.; Deary, Ian J.; Ressler, Kerry; Dupuis, Josée; Ferrucci, Luigi; Ong, Ken K.; Assimes, Themistocles L.; Boerwinkle, Eric; Koenig, Wolfgang; Arnett, Donna K.; Baccarelli, Andrea; Benjamin, Emelia J.; Dehghan, AbbasBackground: 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. Electronic supplementary material The online version of this article (doi:10.1186/s13059-016-1119-5) contains supplementary material, which is available to authorized users.