👤 Kenji Wakai

Environmental and genetic factors are suggested to exhibit factor-based association with HDL-cholesterol (HDL-C) levels. However, the population-based effects of environmental and genetic factors have not been compared clearly. We conducted a cross-sectional study using data from the Japan Multi-Institutional Collaborative Cohort (J-MICC) Study to evaluate the population-based impact of smoking, drinking, and genetic factors on low HDL-C. Data from 11,498 men and women aged 35-69 years were collected for a genome-wide association study (GWAS). Sixty-five HDL-C-related SNPs with genome-wide significance (P < 5 × 10 We found that smoking, drinking, daily activity, habitual exercise, egg intake, BMI, age, sex, and the SNPs CETP rs3764261, APOA5 rs662799, LIPC rs1800588, LPL rs328, ABCA1 rs2575876, LIPG rs3786247, and APOE rs429358 were associated with HDL-C levels. The gene-environmental interactions on smoking and drinking were not statistically significant. The PAF for low HDL-C was the highest in men (63.2%) and in rs3764261 (31.5%) of the genetic factors, and the PAFs of smoking and drinking were 23.1% and 41.8%, respectively. The present study showed that the population-based impact of genomic factor CETP rs3764261 for low HDL-C was higher than that of smoking and lower than that of drinking. Show less

Lung adenocarcinoma is the most common type of lung cancer. Known risk variants explain only a small fraction of lung adenocarcinoma heritability. Here, we conducted a two-stage genome-wide association study of lung adenocarcinoma of East Asian ancestry (21,658 cases and 150,676 controls; 54.5% never-smokers) and identified 12 novel susceptibility variants, bringing the total number to 28 at 25 independent loci. Transcriptome-wide association analyses together with colocalization studies using a Taiwanese lung expression quantitative trait loci dataset (n = 115) identified novel candidate genes, including FADS1 at 11q12 and ELF5 at 11p13. In a multi-ancestry meta-analysis of East Asian and European studies, four loci were identified at 2p11, 4q32, 16q23, and 18q12. At the same time, most of our findings in East Asian populations showed no evidence of association in European populations. In our studies drawn from East Asian populations, a polygenic risk score based on the 25 loci had a stronger association in never-smokers vs. individuals with a history of smoking (P Show less

Chronic kidney disease (CKD) is known to be one of the causes of cardiovascular disease and end-stage renal disease. Among the several treatable risk factors of CKD, that of dyslipidemia is relatively controversial. To clarify the association of polymorphisms in genes involved in lipid metabolism with the risk of CKD in the Japanese population, we used cross-sectional data from the Japan Multi-Institutional Collaborative Cohort (J-MICC) Study. A total of 3,268 men and women, aged 35-69 years, were selected from J-MICC Study participants for inclusion in this study. Twenty-eight candidate single nucleotide polymorphisms (SNPs) were selected in 17 genes associated with the risk of lipid metabolism disorders, and genotyping of the subjects was conducted using the multiplex PCR-based invader assay. The prevalence of CKD was determined for stages 3-5 (defined as estimated glomerular filtration rate <60 ml/min/1.73 m2). Logistic regression analysis revealed that SNPs APOA5 T - 1131C (rs662799), APOA5 T1259C (rs2266788), TOMM40 A/G (rs157580), and CETP TaqIB (rs708272) were significantly associated with CKD risk in those individuals genotyped, with age- and sex-adjusted odds ratios (ORs) per minor allele (and 95% confidence intervals (CIs)) of OR 1.22 (95% CI: 1.06-1.39), 1.19 (1.03-1.37), 1.27 (1.12-1.45), and 0.81 (0.71-0.92), respectively. Analysis of the gene-environment interaction revealed that body mass index (BMI) was a significant effect modifier for APOA5 T - 1131C (rs662799) and a marginally significant effect modifier for APOA5 T/C (rs2266788), with the interaction between BMI ≥30 and individuals with at least one minor allele of each genotype of OR 10.43 (95% CI: 1.29-84.19) and 3.36 (0.87-13.01), respectively. Four polymorphisms in APOA5, TOMM40, and CETP were shown to be significantly associated with CKD risk, and a significant interaction between the two APOA5 SNPs and BMI on CKD risk was also demonstrated. This suggests the future possibility of personalized risk estimation for this life-limiting disease. Show less

This study examined the associations of the APOA5 T-1131C (rs662799), G553T (Cys185Gly, rs2075291), GCK G-30A (rs1799884), GCKR A/G at intron 16 (rs780094) and T1403C (Leu446Pro, rs1260326) polymorphisms with serum lipid and glucose levels in Japanese, considering lifestyle factors. Study subjects were 2,191 participants (aged 35-69 years, 1,159 males) enrolled in the Japan Multi-Institutional Collaborative Cohort (J-MICC) Study. Dyslipidemia was defined as fasting serum triglycerides (FTG) ≥ 150 mg/dL and/or HDL-cholesterol (HDL-C) < 40 mg/dL, while dysglycemia was as fasting blood sugar (FBS) ≥ 110 mg/dL. When those with APOA5 -1131 T/T or 553 G/G were defined as references, those with APOA5 -1131 T/C, C/C or 553 G/T, T/T demonstrated significantly elevated risk of dyslipidemia (age- and sex-adjusted odds ratio: 1.77 [95% confidence interval:1.39-2.27], 3.35 [2.41-4.65], 2.23 [1.64-3.02] and 13.78 [3.44-55.18], respectively). Evaluation of FTG, HDL-C or FBS levels according to the genotype revealed that FTG and HDL-C levels were significantly associated with the APOA5 T-1131C and G553T polymorphisms, FTG with the GCKR rs780094 and rs1260326 polymorphisms, and FBS with the GCKR rs780094 and rs1260326 polymorphisms. Moreover, a significant positive interaction between APOA5 553 G/T+T/T genotypes and fat intake ≥ 25% of total energy for the risk of dyslipidemia was observed. Our cross-sectional study confirmed the essential roles of the polymorphisms of the APOA5, GCK and GCKR in the lipid or glucose metabolism disorders, and suggested the importance of fat intake control in the individualized prevention of dyslipidemia. Show less