Literature DB >> 15075011

Precise definition of anonymization in genetic polymorphism studies.

Nobuyuki Hamajima1, Yoshiko Atsuta, Yoshimitsu Niwa, Kazuko Nishio, Daisuke Tanaka, Kazuhito Yamamoto, Akiko Tamakoshi.   

Abstract

Anonymization is an essential tool to protect privacy of participants in epidemiological studies. This paper classifies types of anonymization in genetic polymorphism studies, providing precise definitions. They are: 1) unlinkable anonymization at enrollment without a participant list; 2) unlinkable anonymization before genotyping with a participant list; 3) linkable anonymization; 4) unlinkable anonymization for outsiders; and 5) linkable anonymization for outsiders. The classification in view of accessibility to a table including genotype data with directly identifiable data such as names is important; if such tables exist, staff may obtain genotype information about participants. The first three modes are defined here as anonymization unaccessible to genotype data with directly identifiable information for research staff. Anonymization with a key code held by participants is possible with any of the above anonymization modes, by which participants can access to their own genotypes through telephone or internet. A guideline issued on March 29, 2001 with collaboration of three Ministries in Japan defines "anonymization in a linkable fashion" and "anonymization in an unlinkable fashion", "for the purpose of preventing the personal information from being divulged externally in violation of law, the present guidelines or a research protocol", but the contents are not clear in practice. The proposed definitions will be useful when we describe and discuss the preferable mode of anonymization for a given polymorphism study.

Entities:  

Keywords:  Biomedical and Behavioral Research; Genetics and Reproduction

Mesh:

Year:  2004        PMID: 15075011

Source DB:  PubMed          Journal:  Asian Pac J Cancer Prev        ISSN: 1513-7368


  1 in total

1.  Profile of participants and genotype distributions of 108 polymorphisms in a cross-sectional study of associations of genotypes with lifestyle and clinical factors: a project in the Japan Multi-Institutional Collaborative Cohort (J-MICC) Study.

Authors:  Kenji Wakai; Nobuyuki Hamajima; Rieko Okada; Mariko Naito; Emi Morita; Asahi Hishida; Sayo Kawai; Kazuko Nishio; Guang Yin; Yatami Asai; Keitaro Matsuo; Satoyo Hosono; Hidemi Ito; Miki Watanabe; Takakazu Kawase; Takeshi Suzuki; Kazuo Tajima; Keitaro Tanaka; Yasuki Higaki; Megumi Hara; Takeshi Imaizumi; Naoto Taguchi; Kazuyo Nakamura; Hinako Nanri; Tatsuhiko Sakamoto; Mikako Horita; Koichi Shinchi; Yoshikuni Kita; Tanvir Chowdhury Turin; Nahid Rumana; Kenji Matsui; Katsuyuki Miura; Hirotsugu Ueshima; Naoyuki Takashima; Yasuyuki Nakamura; Sadao Suzuki; Ryosuke Ando; Akihiro Hosono; Nahomi Imaeda; Kiyoshi Shibata; Chiho Goto; Nami Hattori; Mitsuru Fukatsu; Tamaki Yamada; Shinkan Tokudome; Toshiro Takezaki; Hideshi Niimura; Kazuyo Hirasada; Akihiko Nakamura; Masaya Tatebo; Shin Ogawa; Noriko Tsunematsu; Shirabe Chiba; Haruo Mikami; Suminori Kono; Keizo Ohnaka; Ryoichi Takayanagi; Yoshiyuki Watanabe; Etsuko Ozaki; Masako Shigeta; Nagato Kuriyama; Aya Yoshikawa; Daisuke Matsui; Isao Watanabe; Kaoru Inoue; Kotaro Ozasa; Satoko Mitani; Kokichi Arisawa; Hirokazu Uemura; Mineyoshi Hiyoshi; Hidenobu Takami; Miwa Yamaguchi; Mariko Nakamoto; Hideo Takeda; Michiaki Kubo; Hideo Tanaka
Journal:  J Epidemiol       Date:  2011-03-30       Impact factor: 3.211

  1 in total

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