Cross-sectional analysis of BioBank Japan clinical data: A large cohort of 200,000 patients with 47 common diseases

2017175 citationsJournal Articlegold Open Access

Authors

Makoto Hirata · The University of Tokyo

Yoichiro Kamatani · RIKEN Center for Integrative Medical Sciences

Akiko Nagai · The University of Tokyo

Yutaka Kiyohara · Hisayama Research Institute For Lifestyle Diseases

Toshiharu Ninomiya · Kyushu University

Akiko Tamakoshi · Hokkaido University

Zentaro Yamagata

Abstract

Cross-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.

Topics & Keywords

Genetic Associations and Epidemiology melanin and skin pigmentation Systemic Sclerosis and Related Diseases

UN Sustainable Development Goals

Good health and well-being

Publication Details

Published in: Journal of Epidemiology

Volume 27, Issue 3, pp. S9-S21

DOI: 10.1016/j.je.2016.12.003

Field-Weighted Citation Impact: 16.10