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

Journal of Epidemiology

Volumn 27, Issue 3, 2017, Pages S9-S21

  Hirata, Makoto ^a   Kamatani, Yoichiro ^b   Nagai, Akiko ^a   Kiyohara, Yutaka ^c   Ninomiya, Toshiharu ^d   Tamakoshi, Akiko ^e   Yamagata, Zentaro ^f   Kubo, Michiaki ^b   Muto, Kaori ^a   Mushiroda, Taisei ^b   Murakami, Yoshinori ^a   Yuji, Koichiro ^a   Furukawa, Yoichi ^a   Zembutsu, Hitoshi ^a,g   Tanaka, Toshihiro ^h,i   Ohnishi, Yozo ^i,j   Nakamura, Yusuke ^a,k   Matsuda, Koichi ^a   Shiono, Masaki ^l   Misumi, Kazuo ^l   Kaieda, Reiji ^l   Harada, Hiromasa ^l   Minami, Shiro ^m   Emi, Mitsuru ^m   Emoto, Naoya ^m   Arai, Hajime ⁿ   Yamaji, Ken ⁿ   Hiratsuka, Yoshimune ⁿ   Asai, Satoshi ^o   Moriyama, Mitsuhiko ^o   Takahashi, Yasuo ^o   Fujioka, Tomoaki ^p   Obara, Wataru ^p   Mori, Seijiro ^q   Ito, Hideki ^q   Nagayama, Satoshi ^r   Miki, Yoshio ^r   Masumoto, Akihide ^s   Yamada, Akira ^s   Nishizawa, Yasuko ^t   Kodama, Ken ^t   Kutsumi, Hiromu ^u   Sugimoto, Yoshihisa ^u   Koretsune, Yukihiro ^v   Kusuoka, Hideo ^v   Yoshiyama, Takashi ^w   more..

^a UNIVERSITY OF TOKYO   (Japan)

^b RIKEN Center for Integrative Medical Sciences   (Japan)

^c Hisayama Research Institute for Lifestyle Diseases   (Japan)

^d KYUSHU UNIVERSITY   (Japan)

^e HOKKAIDO UNIVERSITY GRADUATE SCHOOL OF MEDICINE   (Japan)

^f UNIVERSITY OF YAMANASHI   (Japan)

^g NATIONAL CANCER CENTER RESEARCH INSTITUTE   (Japan)

^h RIKEN YOKOHAMA INSTITUTE   (Japan)

ⁱ TOKYO MEDICAL AND DENTAL UNIVERSITY   (Japan)

^j Shinkokai Medical Corporation   (Japan)

^k UNIVERSITY OF CHICAGO   (United States)

^l Tokushukai Hospitals   (Japan)

^m NIPPON MEDICAL SCHOOL   (Japan)

ⁿ JUNTENDO UNIVERSITY   (Japan)

^o NIHON UNIVERSITY   (Japan)

^p IWATE MEDICAL UNIVERSITY   (Japan)

^q TOKYO METROPOLITAN INSTITUTE OF GERONTOLOGY   (Japan)

^r Cancer Institute Hospital of JFCR   (Japan)

^s ASO IIZUKA HOSPITAL   (Japan)

^t OSAKA MEDICAL CENTER FOR CANCER AND CARDIOVASCULAR DISEASES   (Japan)

^u SHIGA UNIVERSITY OF MEDICAL SCIENCE   (Japan)

^v OSAKA NATIONAL HOSPITAL   (Japan)

^w Japan Anti Tuberculosis Association   (Japan)

more..

Author keywords

Biobank Common disease; BioBank Japan Project; Clinical information; Family history

Indexed keywords

AGED; ANAMNESIS; BIOBANK; COHORT ANALYSIS; CROSS-SECTIONAL STUDY; DISEASES; FEMALE; GENETIC DATABASE; GENETICS; HUMAN; JAPAN; MALE; MIDDLE AGED; PERSONALIZED MEDICINE;

AGED; BIOLOGICAL SPECIMEN BANKS; COHORT STUDIES; CROSS-SECTIONAL STUDIES; DATABASES, GENETIC; DISEASE; FEMALE; HUMANS; JAPAN; MALE; MEDICAL HISTORY TAKING; MIDDLE AGED; PRECISION MEDICINE;

EID: 85016420191     PISSN: 09175040     EISSN: 13499092     Source Type: Journal    
DOI: 10.1016/j.je.2016.12.003     Document Type: Article

References (33)

1. Nakamura Y. The BioBank Japan project. Clin Adv Hematol Oncol. 2007;5: 696e697
2. Nagai A, Hirata M, Kamatani Y, et al. Overview of the BioBank Japan project: study design and profile. J Epidemiol. 2017;27:S2eS8
3. Asslaber M, Zatloukal K. Biobanks: transnational, European and global networks. Brief Funct Genomic Proteomic. 2007;6:193e201
4. BioBank Japan, Publications from BioBank Japan. https://biobankjp.org/work/ public.html; Updated 30.06.16. Accessed 25 July 2016
5. Ministry of Health, Labour and Welfare, Japan. Patient Survey; 2005. http:// www.e-stat.go.jp/SG1/estat/List.do?lid=000001047095 (in Japanese) Accessed 6 June 2016
6. Ministry of Health, Labour and Welfare, Japan. National Health and Nutrition Survey; 2006. http://www.mhlw.go.jp/bunya/kenkou/eiyou08/01.html (in Japanese) Accessed 6 June 2016
7. World Health Organization. BMI Classification; 2016. http://apps.who.int/bmi/ index.jsp?introPage=intro_3.html. Accessed 6 June 2016
8. Kuczmarski RJ, Ogden CL, Guo SS, et al. 2000 CDC growth charts for the United States: methods and development. Vital Health Stat. 2002;11:1e190
9. Centers for Disease Control and Prevention. Health Effects of Cigarette Smoking; 2016. http://www.cdc.gov/tobacco/data_statistics/fact_sheets/health_effects/ effects_cig_smoking/. Accessed 16 June 2016
10. Centers for Disease Control and Prevention. Fact Sheets e Alcohol Use and Your Health; 2016. http://www.cdc.gov/alcohol/fact-sheets/alcohol-use.htm. Accessed 16 June 2016
11. Centers for Disease Control and Prevention. Adult Obesity Causes & Consequences; 2016. http://www.cdc.gov/obesity/adult/causes.html. Accessed 16 June 2016
12. Reid GT, Walter FM, Brisbane JM, Emery JD. Family history questionnaires designed for clinical use: a systematic review. Public Health Genomics. 2009;12: 73e83
13. Brandi ML, Gennari L, Cerinic MM, et al. Genetic markers of osteoarticular disorders: facts and hopes. Arthritis Res. 2001;3:270e280
14. Cole Johnson C, Ownby DR, Havstad SL, Peterson EL. Family history, dust mite exposure in early childhood, and risk for pediatric atopy and asthma. J Allergy Clin Immunol. 2004;114:105e110
15. Collaborative Group on Hormonal Factors in Breast C. Familial breast cancer: collaborative reanalysis of individual data from 52 epidemiological studies including 58, 209 females with breast cancer and 101, 986 females without the disease. Lancet. 2001;358:1389e1399
16. Harrison TA, Hindorff LA, Kim H, et al. Family history of diabetes as a potential public health tool. Am J Prev Med. 2003;24:152e159
17. Hawe E, Talmud PJ, Miller GJ, Humphries SE, Second Northwick Park Heart Study. Family history is a coronary heart disease risk factor in the Second Northwick Park Heart Study. Ann Hum Genet. 2003;67:97e106
18. Johns LE, Houlston RS. A systematic review and meta-analysis of familial colorectal cancer risk. Am J Gastroenterol. 2001;96:2992e3003
19. Pharoah PD, Ponder BA. The genetics of ovarian cancer. Best Pract Res Clin Obstet Gynaecol. 2002;16:449e468
20. World Health Organization, Geneva. Guidelines for the Prevention, Care, and Treatment of Persons with Chronic Hepatitis B Infection; 2015. http://www.ncbi. nlm.nih.gov/books/NBK305553/. Accessed 16 June 2016
21. Ban Y, Taniyama M, Ban Y. Vitamin D receptor gene polymorphism is associated with Graves' disease in the Japanese population. J Clin Endocrinol Metab. 2000;85:4639e4643
22. Ban Y, Tozaki T, Taniyama M. The replication of the association of the rs9355610 within 6p27 with Graves' disease. Autoimmunity. 2013;46: 395e398
23. Ban Y, Tozaki T, Taniyama M, Tomita M, Ban Y. Association of a C/T singlenucleotide polymorphism in the 50 untranslated region of the CD40 gene with Graves' disease in Japanese. Thyroid. 2006;16, 443e436
24. Furugaki K, Shirasawa S, Ishikawa N, et al. Association of the T-cell regulatory gene CTLA4 with Graves' disease and autoimmune thyroid disease in the Japanese. J Hum Genet. 2004;49:166e168
25. Hiratani H, Bowden DW, Ikegami S, et al. Multiple SNPs in intron 7 of thyrotropin receptor are associated with Graves' disease. J Clin Endocrinol Metab. 2005;90:2898e2903
26. Kamatani Y, Wattanapokayakit S, Ochi H, et al. A genome-wide association study identifies variants in the HLA-DP locus associated with chronic hepatitis B in Asians. Nat Genet. 2009;41:591e595
27. Komatsu H, Murakami J, Inui A, Tsunoda T, Sogo T, Fujisawa T. Association between single-nucleotide polymorphisms and early spontaneous hepatitis B virus e antigen seroconversion in children. BMC Res Notes. 2014;7:789
28. Kumar V, Yi Lo PH, Sawai H, et al. Soluble MICA and a MICA variation as possible prognostic biomarkers for HBV-induced hepatocellular carcinoma. PLoS One. 2012;7:e44743
29. Mukai T, Hiromatsu Y, Fukutani T, et al. A C/T polymorphism in the 50 untranslated region of the CD40 gene is associated with later onset of Graves' disease in Japanese. Endocr J. 2005;52:471e477
30. Nakashima M, Chung S, Takahashi A, et al. A genome-wide association study identifies four susceptibility loci for keloid in the Japanese population. Nat Genet. 2010;42:768e771
31. Nishida N, Ohashi J, Khor SS, et al. Understanding of HLA-conferred susceptibility to chronic hepatitis B infection requires HLA genotyping-based association analysis. Sci Rep. 2016;6:24767
32. Okada Y, Momozawa Y, Ashikawa K, et al. Construction of a population-specific HLA imputation reference panel and its application to Graves' disease risk in Japanese. Nat Genet. 2015;47:798e802
33. Tripepi G, Jager KJ, Dekker FW, Zoccali C. Selection bias and information bias in clinical research. Nephron Clin Pract. 2011;115:c94ec99