ArticleJournal of epidemiology2017
Cross-sectional analysis of BioBank Japan clinical data: A large cohort of 200,000 patients with 47 common diseases.
Article in Journal of epidemiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 110 papers, 16 of them syntheses that pooled it.
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Who cites it
110 citing papers in PubMed, 16 syntheses or guidelines pooled it.
- Genetic study identifies novel genes in developmental dysplasia of the hip.Bone research · 2026Pooled it
- Discovery and prioritization of genetic determinants of kidney function in 297,355 individuals from Taiwan and Japan.Nature communications · 2024Pooled it
- GWAS for systemic sclerosis identifies six novel susceptibility loci including one in the Fcγ receptor region.Nature communications · 2024Pooled it
- Genetic architecture of alcohol consumption identified by a genotype-stratified GWAS and impact on esophageal cancer risk in Japanese people.Science advances · 2024Pooled it
- Boosting the power of genome-wide association studies within and across ancestries by using polygenic scores.Nature genetics · 2023Pooled it
- Pooled it
- Cross-ancestry genome-wide analysis of atrial fibrillation unveils disease biology and enables cardioembolic risk prediction.Nature genetics · 2023Pooled it
- Discerning asthma endotypes through comorbidity mapping.Nature communications · 2022Pooled it
- Novel susceptibility loci for steroid-associated osteonecrosis of the femoral head in systemic lupus erythematosus.Human molecular genetics · 2022Pooled it
- Body mass index and colorectal cancer risk: A Mendelian randomization study.Cancer science · 2021Pooled it
- Ethnic and trans-ethnic genome-wide association studies identify new loci influencing Japanese Alzheimer's disease risk.Translational psychiatry · 2021Pooled it
- Population-specific and trans-ancestry genome-wide analyses identify distinct and shared genetic risk loci for coronary artery disease.Nature genetics · 2020Pooled it
- Association of theAnnals of the rheumatic diseases · 2020Pooled it
- Genome-wide meta-analysis identifies multiple novel loci associated with serum uric acid levels in Japanese individuals.Communications biology · 2019Pooled it
- Deep whole-genome sequencing reveals recent selection signatures linked to evolution and disease risk of Japanese.Nature communications · 2018Pooled it
- Genome-wide association study identifies 112 new loci for body mass index in the Japanese population.Nature genetics · 2017Pooled it
- Machine Learning Reveals the Contribution of Rare Genetic Variants and Enhances Risk Prediction for Coronary Artery Disease in the Japanese Population.Circulation. Genomic and precision medicine · 2026Article
- BRCA1 and BRCA2 pathogenic variants increase the risk of four less common cancer types.ESMO open · 2026Article
- Article
- Revisiting the impact of BRCA1 pathogenic variants on the aggressiveness of prostate cancer.JNCI cancer spectrum · 2026Article
50 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
19 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTo implement personalized medicine, we established a large-scale patient cohort, BioBank Japan, in 2003. BioBank Japan contains DNA, serum, and clinical information derived from approximately 200,000 patients with 47 diseases. Serum and clinical information were collected annually until 2012.
methodsWe analyzed clinical information of participants at enrollment, including age, sex, body mass index, hypertension, and smoking and drinking status, across 47 diseases, and compared the results with the Japanese database on Patient Survey and National Health and Nutrition Survey. We conducted multivariate logistic regression analysis, adjusting for sex and age, to assess the association between family history and disease development.
resultsDistribution of age at enrollment reflected the typical age of disease onset. Analysis of the clinical information revealed strong associations between smoking and chronic obstructive pulmonary disease, drinking and esophageal cancer, high body mass index and metabolic disease, and hypertension and cardiovascular disease. Logistic regression analysis showed that individuals with a family history of keloid exhibited a higher odds ratio than those without a family history, highlighting the strong impact of host genetic factor(s) on disease onset.
conclusionsCross-sectional analysis of the clinical information of participants at enrollment revealed characteristics of the present cohort. Analysis of family history revealed the impact of host genetic factors on each disease. BioBank Japan, by publicly distributing DNA, serum, and clinical information, could be a fundamental infrastructure for the implementation of personalized medicine.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.