Determination of combinational genetic and environmental risk factors of lifestyle-related disease by using health check-up data obtained from long-term follow-up

Yasunori Ushida, Ryuji Kato, Daisuke Tanimura, Hideo Izawa, Kenji Yasui, Tomokazu Takase, Yasuko Yoshida, Mitsuo Kawase, Tsutomu Yoshida, Toyoaki Murohara, Hiroyuki Honda

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Metabolic syndrome or lifestyle-related diseases develop as a result of the interaction between various genetic factors and environmental factors. Based on the health check-up data collected during a longterm follow-up (at least 7 years), we categorized a large sample population (n = 2061 subjects; men = 87%) into 3 groups (case: subjects who developed metabolic syndrome during follow-up; supercontrol: subjects free of lifestyle-related risk components; control: subjects with clinical components similar to those observed in the case subjects before follow-up). A bioinformatics approach was employed to determine the combinational genetic and environmental factors. Two types of prediction datasets were constructed to determine the predictive risk factors to discriminate between (1) case and supercontrol and between (2) case and control groups. By using logistic regression analysis, we found 25 novel risk factor combinations including 66 single nucleotide polymorphisms (SNPs) and 6 environmental factors. Moreover, to search risk factor combinations with high prediction accuracy, we used our Criterion of Detecting Personal Group (CDPG) in this study. We found that the combination of ADIPOR1 (rs1539355) with an environment factor (smoking) was the most significant predictor of metabolic syndrome. Such risk factor combinations, and not genetic risk factors alone, could help to identify the need to modify life style for prevention of metabolic syndrome.

Original languageEnglish
Pages (from-to)562-569
Number of pages8
JournalSeibutsu-kogaku Kaishi
Volume88
Issue number11
Publication statusPublished - 27-12-2010

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lifestyle
metabolic syndrome
Life Style
risk factors
Health
environmental factors
prediction
Computational Biology
bioinformatics
single nucleotide polymorphism
Single Nucleotide Polymorphism
regression analysis
Logistic Models
Smoking
Regression Analysis
Control Groups
Population
sampling

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Food Science
  • Applied Microbiology and Biotechnology

Cite this

Ushida, Yasunori ; Kato, Ryuji ; Tanimura, Daisuke ; Izawa, Hideo ; Yasui, Kenji ; Takase, Tomokazu ; Yoshida, Yasuko ; Kawase, Mitsuo ; Yoshida, Tsutomu ; Murohara, Toyoaki ; Honda, Hiroyuki. / Determination of combinational genetic and environmental risk factors of lifestyle-related disease by using health check-up data obtained from long-term follow-up. In: Seibutsu-kogaku Kaishi. 2010 ; Vol. 88, No. 11. pp. 562-569.
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Ushida, Y, Kato, R, Tanimura, D, Izawa, H, Yasui, K, Takase, T, Yoshida, Y, Kawase, M, Yoshida, T, Murohara, T & Honda, H 2010, 'Determination of combinational genetic and environmental risk factors of lifestyle-related disease by using health check-up data obtained from long-term follow-up', Seibutsu-kogaku Kaishi, vol. 88, no. 11, pp. 562-569.

Determination of combinational genetic and environmental risk factors of lifestyle-related disease by using health check-up data obtained from long-term follow-up. / Ushida, Yasunori; Kato, Ryuji; Tanimura, Daisuke; Izawa, Hideo; Yasui, Kenji; Takase, Tomokazu; Yoshida, Yasuko; Kawase, Mitsuo; Yoshida, Tsutomu; Murohara, Toyoaki; Honda, Hiroyuki.

In: Seibutsu-kogaku Kaishi, Vol. 88, No. 11, 27.12.2010, p. 562-569.

Research output: Contribution to journalArticle

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T1 - Determination of combinational genetic and environmental risk factors of lifestyle-related disease by using health check-up data obtained from long-term follow-up

AU - Ushida, Yasunori

AU - Kato, Ryuji

AU - Tanimura, Daisuke

AU - Izawa, Hideo

AU - Yasui, Kenji

AU - Takase, Tomokazu

AU - Yoshida, Yasuko

AU - Kawase, Mitsuo

AU - Yoshida, Tsutomu

AU - Murohara, Toyoaki

AU - Honda, Hiroyuki

PY - 2010/12/27

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N2 - Metabolic syndrome or lifestyle-related diseases develop as a result of the interaction between various genetic factors and environmental factors. Based on the health check-up data collected during a longterm follow-up (at least 7 years), we categorized a large sample population (n = 2061 subjects; men = 87%) into 3 groups (case: subjects who developed metabolic syndrome during follow-up; supercontrol: subjects free of lifestyle-related risk components; control: subjects with clinical components similar to those observed in the case subjects before follow-up). A bioinformatics approach was employed to determine the combinational genetic and environmental factors. Two types of prediction datasets were constructed to determine the predictive risk factors to discriminate between (1) case and supercontrol and between (2) case and control groups. By using logistic regression analysis, we found 25 novel risk factor combinations including 66 single nucleotide polymorphisms (SNPs) and 6 environmental factors. Moreover, to search risk factor combinations with high prediction accuracy, we used our Criterion of Detecting Personal Group (CDPG) in this study. We found that the combination of ADIPOR1 (rs1539355) with an environment factor (smoking) was the most significant predictor of metabolic syndrome. Such risk factor combinations, and not genetic risk factors alone, could help to identify the need to modify life style for prevention of metabolic syndrome.

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