While duodenal ulcer (DU) and gastric cancer (GC) are both H. pylori infection-related diseases, individuals with DU are known to have lower risk for GC. Many epidemiological studies have identified ...the PSCA rs2294008 T-allele as a risk factor of GC, while others have found an association between the rs2294008 C-allele and risk of DU and gastric ulcer (GU). Following these initial reports, however, few studies have since validated these associations. Here, we aimed to validate the association between variations in PSCA and the risk of DU/GU and evaluate its interaction with environmental factors in a Japanese population.
Six PSCA SNPs were genotyped in 584 DU cases, 925 GU cases, and 8,105 controls from the Japan Multi-Institutional Collaborative Cohort (J-MICC). Unconditional logistic regression models were applied to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the association between the SNPs and risk of DU/GU.
PSCA rs2294008 C-allele was associated with per allele OR of 1.34 (95% CI, 1.18-1.51; P = 2.28 × 10
) for the risk of DU. This association was independent of age, sex, study site, smoking habit, drinking habit, and H. pylori status. On the other hand, we did not observe an association between the risk of GU and PSCA SNPs.
Our study confirms an association between the PSCA rs2294008 C-allele and the risk of DU in a Japanese population.
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FFLJ, NUK, ODKLJ, UL, UM, UPUK
KapWeb is an interactive tool for the determination of cancer survival rates based on case outcomes compiled from more than half a million records from cancer registries all over Japan, and we ...believe that both the tool and the call for data openness and transparency are important.
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BFBNIB, FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SAZU, SBCE, SBMB, UL, UM, UPUK
AminoIndex Cancer Screening (AICS) is a novel cancer screening test based on plasma free amino acid (PFAA) levels. This system categorises subjects as rank A, B, or C in order of increasing ...probability of each cancer incidence. The current study aimed to validate the potential of AICS for cancer detection. AICS values were determined from the PFAA levels in subjects examined at Chiba Cancer Center Cohort, Mitsui Memorial Hospital, and Saihaku Hospital, and the cancer incidence was investigated. The sensitivities of rank C for cancer diagnosis within 1 year after AICS examination were 83.3% (10/12) for gastric, 50.0% (2/4) for lung, 46.2% (6/13) for colorectal, 50.0% (8/16) for prostate, 43.8% (7/16) for breast, and 50.0% (1/2) for uterine/ovarian cancer. The total cancer detection rate via AICS was 0.33% (34/10,245). The sensitivities during the maximum follow-up period of 6.2 years were 51.7% (15/29) for gastric, 18.2% (2/11) for lung, 28.6% (8/28) for colorectal, 36.4% (8/22) for prostate, 29.0% (9/31) for breast, and 33.3% (2/6) for uterine/ovarian cancers. In conclusion, AICS is a more useful method for evaluating the probability of cancer incidence than for predicting onset, suggesting that annual AICS should be recommended to detect any malignancy.
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IZUM, KILJ, NUK, PILJ, PNG, SAZU, UL, UM, UPUK
Although benefits of fish consumption for health are well known, a significant percentage of individuals dislike eating fish. Fish consumption may be influenced by genetic factors in addition to ...environmental factors. We conducted a genome-wide association study (GWAS) to find genetic variations that affect fish consumption in a Japanese population.
We performed a two-stage GWAS on fish consumption using 13,739 discovery samples from the Japan Multi-Institutional Collaborative Cohort study, and 2845 replication samples from the other population. We used a semi-quantitative food frequency questionnaire to estimate food intake. Association of the imputed variants with fish consumption was analyzed by separate linear regression models per variant, with adjustments for age, sex, energy intake, principal component analysis components 1-10, and alcohol intake (g/day). We also performed conditional analysis.
We found 27 single nucleotide polymorphisms (SNPs) located in 12q24 and 14q32.12 that were associated with fish consumption. The 19 SNPs were located at 11 genes including six lead SNPs at the BRAP, ACAD10, ALDH2, NAA25, and HECTD4 regions on 12q24.12-13, and CCDC197 region on 14q32.12. In replication samples, all five SNPs located on chromosome 12 were replicated successfully, but the one on chromosome 14 was not. Conditional analyses revealed that the five lead variants in chromosome 12 were in fact the same signal.
We found that new SNPs in the 12q24 locus were related to fish intake in two Japanese populations. The associations between SNPs on chromosome 12 and fish intake were strongly confounded by drinking status.
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DOBA, EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, IZUM, KILJ, KISLJ, MFDPS, NLZOH, NUK, OILJ, PILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, SIK, UILJ, UKNU, UL, UM, UPUK, VKSCE, VSZLJ, ZAGLJ
Obesity is a reported risk factor for various health problems. Genome-wide association studies (GWASs) have identified numerous independent loci associated with body mass index (BMI). However, most ...of these have been focused on Europeans, and little evidence is available on the genetic effects across the life course of other ethnicities.
We conducted a cross-sectional study to examine the associations of 282 GWAS-identified single nucleotide polymorphisms with three BMI-related traits, current BMI, BMI at 20 years old (BMI at 20), and change in BMI (BMI change), among 11,586 Japanese individuals enrolled in the Japan Multi-Institutional Collaborative Cohort study. Associations were examined using multivariable linear regression models.
We found a significant association (P < 0.05/282 = 1.77 × 10
) between BMI and 11 polymorphisms in or near FTO, BDNF, TMEM18, HS6ST3, and BORCS7. The trend was similar between current BMI and BMI change, but differed from that of the BMI at 20. Among the significant variants, those on FTO were associated with all BMI traits, whereas those on TMEM18 and HS6SR3 were only associated with BMI at 20. The association of FTO loci with BMI remained, even after additional adjustment for dietary energy intake.
Previously reported BMI-associated loci discovered in Europeans were also identified in the Japanese population. Additionally, our results suggest that the effects of each loci on BMI may vary across the life course and that this variation may be caused by the differential effects of individual genes on BMI via different pathways.
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The purpose of this study was to evaluate the reproducibility and validity of a short food frequency questionnaire (FFQ) for food group intake in Japan, the reproducibility and partial validity of ...which were previously confirmed for nutrients.
A total of 288 middle-aged healthy volunteers from 11 different areas of Japan provided nonconsecutive 3-day weighed dietary records (DRs) at 3-month intervals over four seasons. We evaluated reproducibility based on the first (FFQ1) and second (FFQ2) questionnaires and their validity against the DRs by comparing the intake of 20 food groups. Spearman's rank correlation coefficients (SRs) were calculated between energy-adjusted intake from the FFQs and that from the DRs.
The intake of 20 food groups estimated from the two FFQs was mostly equivalent. The median energy-adjusted SRs between the FFQ1 and FFQ2 were 0.61 (range 0.38-0.86) for men and 0.66 (0.45-0.84) for women. For validity, the median de-attenuated SRs between DRs and the FFQ1 were 0.51 (0.17-0.76) for men and 0.47 (0.23-0.77) for women. Compared with the DRs, the proportion of cross-classification into exact plus adjacent quintiles with the FFQ1 ranged from 58 to 86% in men and from 57 to 86% in women. According to the robust Z scores and the Bland-Altman plot graphs, the underestimation errors in the FFQ1 tended to be greater in individuals with high mean levels of consumption for meat for men and for other vegetables for both men and women.
The FFQ demonstrated high reproducibility and reasonable validity for food group intake. This questionnaire is short and remains appropriate for identifying associations between diet and health/disease among adults in Japan.
Previous studies have reported that the number of pregnancies and childbirths affected the risk of cardiovascular diseases (CVDs). However, the influence of reproductive history on hypertension and ...obesity, which are important risk factors for CVDs, is still unclear. Moreover, this association may vary depending on menopausal status. We evaluated the association of reproductive history with hypertension and obesity using a large cross-sectional dataset from the Japan Multi-Institutional Collaborative Cohort Study (J-MICC Study). At the baseline survey, physical data, blood samples, and self-reported health questionnaires were collected. Participants with insufficient data were excluded, and 24,558 women from eight study regions were included in this study. Logistic regression analysis was conducted to evaluate the association of reproductive history with hypertension and obesity using multivariable-adjusted odds ratios. In premenopausal women, childbirth showed a generally protective effect on hypertension but not on obesity. In postmenopausal women, childbirth was positively associated with obesity and hypertension but not with hypertension after adjusting for BMI. In conclusion, reproductive history was associated with hypertension and obesity in a large Japanese population, and this association differed between premenopausal and postmenopausal women.
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EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, KILJ, KISLJ, MFDPS, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, UKNU, UL, UM, UPUK, VKSCE, ZAGLJ
Background: Although beneficial associations have been reported between moderate alcohol intake and the serum lipid profile, it is unclear whether polymorphisms in alcohol-metabolizing enzymes can ...modify these associations. Here, we assessed the effects of ADH1B His48Arg (rs1229984), ALDH2 Glu504Lys (rs671), and their combination on these associations. Furthermore, we examined if the findings for ALDH2 could be replicated. Methods: We categorized 889 male participants in the Japan Multi-Institutional Collaborative Cohort (J-MICC) Study into two groups based on presence or absence of minor allele(s) or four groups based on genotype combinations. We performed regression analyses of serum lipid concentrations on alcohol intake, with multivariable adjustment. The replication study was conducted among 2,562 men in the Shizuoka part of the J-MICC Study. Results: The ALDH2 Glu/Lys or Lys/Lys groups showed significant decreases in serum low-density lipoprotein (LDL) cholesterol with increasing alcohol consumption; the coefficient per intake increase of 10 g/day was −2.49 mg/dL (95% confidence interval CI, −3.85 to −1.13), and a significant interaction with the polymorphism was confirmed (P for interaction = 0.006). This inverse correlation was more evident among the ADH1B His/His + ALDH2 Glu/Lys or Lys/Lys groups (−3.24 mg/dL, 95% CI, −5.03 to −1.45). Serum triglycerides were positively associated with alcohol consumption in the ADH1B His/His group (P for interaction = 0.020). The stronger association between serum LDL cholesterol and alcohol consumption in the ALDH2 Glu/Lys or Lys/Lys groups was replicated. Conclusions: The ALDH2 Glu504Lys polymorphism can modify the association between alcohol intake and serum LDL cholesterol in Japanese men.
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Traditional observational studies have reported a positive association between higher body mass index (BMI) and the risk of colorectal cancer (CRC). However, evidence from other approaches to pursue ...the causal relationship between BMI and CRC is sparse. A two‐sample Mendelian randomization (MR) study was undertaken using 68 single nucleotide polymorphisms (SNPs) from the Japanese genome‐wide association study (GWAS) and 654 SNPs from the GWAS catalogue for BMI as sets of instrumental variables. For the analysis of SNP‐BMI associations, we undertook a meta‐analysis with 36 303 participants in the Japanese Consortium of Genetic Epidemiology studies (J‐CGE), comprising normal populations. For the analysis of SNP‐CRC associations, we utilized 7636 CRC cases and 37 141 controls from five studies in Japan, and undertook a meta‐analysis. Mendelian randomization analysis of inverse‐variance weighted method indicated that a one‐unit (kg/m2) increase in genetically predicted BMI was associated with an odds ratio of 1.13 (95% confidence interval, 1.06‐1.20; P value <.001) for CRC using the set of 68 SNPs, and an odds ratio of 1.07 (1.03‐1.11, 0.001) for CRC using the set of 654 SNPs. Sensitivity analyses robustly showed increased odds ratios for CRC for every one‐unit increase in genetically predicted BMI. Our MR analyses strongly support the evidence that higher BMI influences the risk of CRC. Although Asians are generally leaner than Europeans and North Americans, avoiding higher BMI seems to be important for the prevention of CRC in Asian populations.
Traditional observational studies reported a positive association between higher body mass index (BMI) and colorectal cancer (CRC) risk. However, these studies suffer from biases such as reverse causality and confounding. This Mendelian randomization study consistently showed that the genetically predicted higher BMI was associated with an increased risk of CRC in Japanese populations.
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BFBNIB, FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SAZU, SBCE, SBMB, UL, UM, UPUK
A family history of urolithiasis is associated with a more than doubling of urolithiasis risk, and a twin study estimating 56% heritability of the condition suggests a pivotal role for host genetic ...factors. However, previous genome-wide association studies (GWAS) have identified only six risk-related loci.
To identify novel urolithiasis-related loci in the Japanese population, we performed a large-scale GWAS of 11,130 cases and 187,639 controls, followed by a replication analysis of 2289 cases and 3817 controls. Diagnosis of urolithiasis was confirmed either by a clinician or using medical records or self-report. We also assessed the association of urolithiasis loci with 16 quantitative traits, including metabolic, kidney-related, and electrolyte traits (such as body mass index, lipid storage, eGFR, serum uric acid, and serum calcium), using up to 160,000 samples from BioBank Japan.
The analysis identified 14 significant loci, including nine novel loci. Ten regions showed a significant association with at least one quantitative trait, including metabolic, kidney-related, and electrolyte traits, suggesting a common genetic basis for urolithiasis and these quantitative traits. Four novel loci were related to metabolic traits, obesity, hypertriglyceridemia, or hyperuricemia. The remaining ten loci were associated with kidney- or electrolyte-related traits; these may affect crystallization. Weighted genetic risk score analysis indicated that the highest risk group (top 20%) showed an odds ratio of 1.71 (95% confidence interval, 1.42 to 2.06) - 2.13 (95% confidence interval, 2.00 to 2.27) compared with the reference group (bottom 20%).
Our findings provide evidence that host genetic factors related to regulation of metabolic and crystallization pathways contribute to the development of urolithiasis.
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