Title
A knowledge representation model for family relationship to three generation
Authors
Kazuro Shimokawa1,4*, Mami Ishikuro2, Taku Obara2, Hirohito Metoki2, Satoshi Mizuno1, Satoshi Nagaie1, Masato Nagai2, Chizuru Yamanaka2, Hiroko Matsubara2, Mayumi Kato2, Yuki Sato2, Soichi Ogishima1, Takako Takai-Igarashi 1, Masahiro Kikuya2, Atsushi Hozawa2, Fuji Nagami3, Shinichi Kuriyama2, Takashi Suzuki4 ,Kengo Kinoshita5, Masayuki Yamamoto5 & Hiroshi Tanaka1
Affiliation
1Department of Health Record Informatics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan; 2Department of Preventive Medicine and Epidemiology, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan; 3Department of Public Relations and Planning, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan; 4Center for Mathematical Modeling and Data Science, Osaka University, Toyonaka, Osaka, Japan; 5Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan; *Corresponding author
Kazuro Shimokawa - E-mail: shimokawa@megabank.tohoku.ac.jp
Mami Ishikuro - E-mail: m_ishikuro@med.tohoku.ac.jp
Taku Obara - E-mail: obara-t@hosp.tohoku.ac.jp
Hirohito Metoki - E-mail: hmetoki@med.tohoku.ac.jp
Satoshi Mizuno - E-mail: samizuno@med.tohoku.ac.jp
Satoshi Nagaie - E-mail: nagaie@megabank.tohoku.ac.jp
Masato Nagai - E-mail: m-nagai@med.tohoku.ac.jp
Chizuru Yamanaka - E-mail: chizuru0910@megabank.tohoku.ac.jp
Hiroko Matsubara - E-mail: matsubara@irides.tohoku.ac.jp
Mayumi Kato - E-mail: m-kato@med.tohoku.ac.jp
Yuki Sato - E-mail: yusato@megabank.tohoku.ac.jp
Soichi Ogishima - E-mail: ogishima@megabank.tohoku.ac.jp
Takako Takai - E-mail: takai@megabank.tohoku.ac.jp
Masahiro Kikuya - E-mail: kikuyam@med.tohoku.ac.jp
Atsushi Hozawa - E-mail: hozawa@megabank.tohoku.ac.jp
Fuji Nagami - E-mail: f-nagami@med.tohoku.ac.jp
Shinichi Kuriyama - E-mail: kuriyama@med.tohoku.ac.jp
Takashi Suzuki suzuki@sigmath.es.osaka-u.ac.jp
Kengo Kinoshita - E-mail: kengo@ecei.tohoku.ac.jp
Masayuki Yamamoto - E-mail: masiyamamoto@med.tohoku.ac.jp
Hiroshi Tanaka - E-mail: tanaka@cim.tmd.ac.jp
Article Type
Research Article
Date
Received November 1, 2022; Revised December 20, 2022; Accepted December 31, 2022, Published December 31, 2022
Abstract
A system for inputting and storing family information, named “BirThree Enrollment,” was developed to promote a birth and three-generation cohort study (BirThree Cohort Study). In this cohort study, it was necessary to satisfy many operational demands while constantly overwriting and changing input information. Complex kinship information must be quickly and accurately inputed and corrected, and information on those families not yet recruited must be retrieved. For these purposes, many devices are needed, from an input interface to the internal data structure. In the field of genetic statistics, a simple standard expressive form (describe father-child relation and mother-child relation) is used for describing family structure. However, this form doesn't have sufficient information. So we developed a new form in conducting the BirThree Cohort Study. Hence, we expanded the data structure, and constructed the Input control system. Family pedigree information is stored along with initial clinical information, and this enabled the input of all self-reported information to the data base. Operators are able to input this family information before the day is out. As a result, when recruitment is completed, family information will be completed concurrently. Therefore, operators can immediately know certain person's family structure. In this model data correction was improved dramatically, and the system was operated successfully. This study is the first report of the method for storing three generations of family data.
Keywords
Birth cohort, three-generation cohort study, database, kinship, recruit
Citation
Shimokawa et al. Bioinformation 18(12): 1166-1172 (2022)
Supplementary Material
Edited by
P Kangueane
ISSN
0973-2063
Publisher
License
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
