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<p>Polygenic risk scores (PRS) are useful for assessing disease risk; however, knowledge about their effectiveness among Asian and other populations is limited. This study aimed to compare the classification accuracy of PRSs for type 2 diabetes (T2D-PRS) developed from different ancestry groups using genotype data from 14,083 Japanese participants. Participants’ scores were calculated using T2D-PRS models, and logistic regression analysis and receiver operating characteristic curves were assessed. The odds ratio of diabetes per 1 standard deviation increase in PRS was 2.18 and 1.55 for the Japanese and European T2D-PRSs, respectively. The area under the curve (AUC) for the Japanese T2D-PRS was 0.781, whereas that for the European T2D-PRS was 0.738 (<i>P</i> &lt; 0.001). Additionally, age-stratified analysis showed higher AUCs in younger than older age groups. The PRS developed from matched ancestry populations has high classification accuracy for diabetes and is particularly useful for the early detection of high-risk individuals with diabetes.</p>

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Comparison of polygenic risk scores for type 2 diabetes developed from different ancestry groups

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年5月3日

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  • Takuma Furukawa,
  • Megumi Hara,
  • Yuichiro Nishida,
  • Keitaro Tanaka,
  • Chisato Shimanoe,
  • Chiharu Iwasaka,
  • Jun Otonari,
  • Hiroaki Ikezaki,
  • Mako Nagayoshi,
  • Takashi Tamura,
  • Yudai Tamada,
  • Rieko Okada,
  • Isao Oze,
  • Hidemi Ito,
  • Nobuaki Michihata,
  • Yohko Nakamura,
  • Shiroh Tanoue,
  • Chihaya Koriyama,
  • Sadao Suzuki,
  • Takahiro Otani,
  • Isao Watanabe,
  • Satomi Tomida,
  • Kiyonori Kuriki,
  • Naoyuki Takashima,
  • Aya Kadota,
  • Masashi Ishizu,
  • Takeshi Watanabe,
  • Masahiro Nakatochi,
  • Yukihide Momozawa,
  • Kenji Wakai,
  • Keitaro Matsuo,
  • Hiroto Narimatsu,
  • Asahi Hishida,
  • Yoshikuni Kita,
  • Katsuyuki Miura,
  • Teruhide Koyama,
  • Kokichi Arisawa

摘要

Polygenic risk scores (PRS) are useful for assessing disease risk; however, knowledge about their effectiveness among Asian and other populations is limited. This study aimed to compare the classification accuracy of PRSs for type 2 diabetes (T2D-PRS) developed from different ancestry groups using genotype data from 14,083 Japanese participants. Participants’ scores were calculated using T2D-PRS models, and logistic regression analysis and receiver operating characteristic curves were assessed. The odds ratio of diabetes per 1 standard deviation increase in PRS was 2.18 and 1.55 for the Japanese and European T2D-PRSs, respectively. The area under the curve (AUC) for the Japanese T2D-PRS was 0.781, whereas that for the European T2D-PRS was 0.738 (P < 0.001). Additionally, age-stratified analysis showed higher AUCs in younger than older age groups. The PRS developed from matched ancestry populations has high classification accuracy for diabetes and is particularly useful for the early detection of high-risk individuals with diabetes.