Epigenome-wide association study in whole blood on type 2 diabetes among sub-Saharan African individuals: findings from the RODAM study. (10th August 2018)

• Record Type: Journal Article
• Authors: Meeks, Karlijn A C; Henneman, Peter; Venema, Andrea; Addo, Juliet; Bahendeka, Silver; Burr, Tom; Danquah, Ina; Galbete, Cecilia; Mannens, Marcel M A M; Mockenhaupt, Frank P; Owusu-Dabo, Ellis; Rotimi, Charles N; Schulze, Matthias B; Smeeth, Liam; Spranger, Joachim; Zafarmand, Mohammad H; Adeyemo, Adebowale; Agyemang, Charles
• Is Part Of: International journal of epidemiology. Volume 48:Number 1(2019)
• Page Start: 58
• Page End: 70
• Publication Date: 2018-08-10
• Subjects: DNA-methylation -- Africans -- type 2 diabetes -- epigenetic epidemiology -- EWAS -- RODAM study; Epidemiology -- Periodicals; 614.4
• DOI: 10.1093/ije/dyy171
• Languages: English
• ISSNs: 0300-5771

Abstract

Abstract: Background: Type 2 diabetes (T2D) results from a complex interplay between genetics and the environment. Several epigenome-wide association studies (EWAS) have found DNA methylation loci associated with T2D in European populations. However, data from African populations are lacking. We undertook the first EWAS for T2D among sub-Saharan Africans, aiming at identifying ubiquitous and novel DNA methylation loci associated with T2D. Methods: The Illumina 450k DNA-methylation array was used on whole blood samples of 713 Ghanaian participants (256 with T2D, 457 controls) from the cross-sectional Research on Obesity and Diabetes among African Migrants (RODAM) study. Differentially methylated positions (DMPs) for T2D and HbA1c were identified through linear regression analysis adjusted for age, sex, estimated cell counts, hybridization batch, array position and body mass index (BMI). We also did a candidate analysis of previously reported EWAS loci for T2D in non-African populations, identified through a systematic literature search. Results: Four DMPs [ cg19693031 ( TXNIP ), cg04816311 ( C7orf50 ), cg00574958 ( CPT1A ), cg07988171 ( TPM4 )] were associated with T2D after correction for inflation by possible systematic biases. The most strongly associated DMP— cg19693031, TXNIP ( P = 2.6E-19) —showed hypomethylation in T2D cases compared with controls. Two out of the four DMPs [ cg19693031 ( TXNIP ), cg04816311 ( C7orf50 )] remained associated with T2D after adjustment for BMI, and one locus [ cg07988171 ( TPM4 )] that has not been reported previously. Conclusions: In this first EWAS for T2D in sub-Saharan Africans, we have identified four DMPs at epigenome-wide level, one of which is novel. These findings provide insight into the epigenetic loci that underlie the burden of T2D in sub-Saharan Africans.