Heung Man Lee

Identification of sequence variants robustly associated with predisposition to diabetic kidney disease (DKD) has the potential to provide insights into the pathophysiological mechanisms responsible. We conducted a genome-wide association study (GWAS) of DKD in type 2 diabetes (T2D) using eight complementary dichotomous and quantitative DKD phenotypes: the principal dichotomous analysis involved 5,717 T2D subjects, 3,345 with DKD. Promising association signals were evaluated in up to 26,827 subjects with T2D (12,710 with DKD). A combined T1D+T2D GWAS was performed using complementary data available for subjects with T1D, which, with replication samples, involved up to 40,340 subjects with diabetes (18,582 with DKD). Analysis of specific DKD phenotypes identified a novel signal near GABRR1 (rs9942471, P = 4.5 × 10−8) associated with microalbuminuria in European T2D case subjects. However, no replication of this signal was observed in Asian subjects with T2D or in the equivalent T1D analysis. There was only limited support, in this substantially enlarged analysis, for association at previously reported DKD signals, except for those at UMOD and PRKAG2, both associated with estimated glomerular filtration rate. We conclude that, despite challenges in addressing phenotypic heterogeneity, access to increased sample sizes will continue to provide more robust inference regarding risk variant discovery for DKD.

BACKGROUND: DNA methylation is an important type of epigenetic modification involved in gene regulation. Although strong DNA methylation at promoters is widely recognized to be associated with transcriptional repression, many aspects of DNA methylation remain not fully understood, including the quantitative relationships between DNA methylation and expression levels, and the individual roles of promoter and gene body methylation. RESULTS: Here we present an integrated analysis of whole-genome bisulfite sequencing and RNA sequencing data from human samples and cell lines. We find that while promoter methylation inversely correlates with gene expression as generally observed, the repressive effect is clear only on genes with a very high DNA methylation level. By means of statistical modeling, we find that DNA methylation is indicative of the expression class of a gene in general, but gene body methylation is a better indicator than promoter methylation. These findings are general in that a model constructed from a sample or cell line could accurately fit the unseen data from another. We further find that promoter and gene body methylation have minimal redundancy, and either one is sufficient to signify low expression. Finally, we obtain increased modeling power by integrating histone modification data with the DNA methylation data, showing that neither type of information fully subsumes the other. CONCLUSION: Our results suggest that DNA methylation outside promoters also plays critical roles in gene regulation. Future studies on gene regulatory mechanisms and disease-associated differential methylation should pay more attention to DNA methylation at gene bodies and other non-promoter regions.

OBJECTIVE: Recent genome-wide association studies have identified multiple novel loci associated with obesity in Europeans. We hypothesized that these genetic variants may be associated with obesity and type 2 diabetes (T2D) in Chinese. RESEARCH DESIGN AND METHODS: We examined 14 associated single-nucleotide polymorphisms at 12 loci (NEGR1, SEC16B, TMEM18, ETV5/DGKG, GNPDA2, LIN7C/BDNF, MTCH2, BCDIN3D/FAIM2, SH2B1, FTO, MC4R, and KCTD15) in 605 healthy adults, 1087 healthy adolescents and 6013 T2D patients from Hong Kong. RESULTS: The European at-risk alleles at five loci including GNPDA2, BCDIN3D/FAIM2, SH2B1, FTO, and KCTD15 were significantly associated with increased body mass index (BMI), waist circumference (4.5 x 10(-8) < P < 0.024), and/or obesity risk (odds ratio 1.14-1.22, 2.0 x 10(-5) < P < 0.002) in our Chinese populations. The former four loci as well as LIN7C/BDNF were also modestly associated with T2D risk (odds ratio 1.09-1.22, 0.008 < P < 0.041), but the associations were lost after adjustment for BMI, suggesting their roles in T2D risk are mediated through modulation of adiposity. Joint effect analyses of the five adiposity loci revealed an increase of about 0.29 kg/m(2) in BMI with each additional copy of at-risk allele (P(trend) = 4.2 x 10(-12)). CONCLUSIONS: Our findings support the important contribution of GNPDA2, BCDIN3D/FAIM2, SH2B1, FTO, and KCTD15 in the regulation of adiposity, which in turn affects T2D risk in Chinese.