The clinical relevance of a polygenic risk score for type 2 diabetes mellitus in the Korean population

被引:1
|
作者
Kim, Na Yeon [1 ]
Lee, Haekyung [2 ]
Kim, Sehee [3 ]
Kim, Ye-Jee [3 ]
Lee, Hyunsuk [4 ,5 ,6 ]
Lee, Junhyeong [1 ]
Kwak, Soo Heon [4 ]
Lee, Seunggeun [1 ]
机构
[1] Seoul Natl Univ, Grad Sch Data Sci, Seoul, South Korea
[2] Soonchunhyang Univ, Dept Internal Med, Div Nephrol, Seoul Hosp, Seoul, South Korea
[3] Asan Med Ctr, Dept Clin Epidemiol & Biostat, Seoul, South Korea
[4] Seoul Natl Univ Hosp, Dept Internal Med, Seoul, South Korea
[5] Seoul Natl Univ, Dept Translat Med, Coll Med, Seoul, South Korea
[6] Seoul Natl Univ, Coll Med, Med Res Ctr, Genom Med Inst, Seoul, South Korea
基金
新加坡国家研究基金会;
关键词
INDIVIDUALS; PREDICTION; ONSET; LOCI;
D O I
10.1038/s41598-024-55313-0
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The clinical utility of a type 2 diabetes mellitus (T2DM) polygenic risk score (PRS) in the East Asian population remains underexplored. We aimed to examine the potential prognostic value of a T2DM PRS and assess its viability as a clinical instrument. We first established a T2DM PRS for 5490 Korean individuals using East Asian Biobank data (269,487 samples). Subsequently, we assessed the predictive capability of this T2DM PRS in a prospective longitudinal study with baseline data and data from seven additional follow-ups. Our analysis showed that the T2DM PRS could predict the transition of glucose tolerance stages from normal glucose tolerance to prediabetes and from prediabetes to T2DM. Moreover, T2DM patients in the top-decile PRS group were more likely to be treated with insulin (hazard ratio = 1.69, p value = 2.31E-02) than were those in the remaining PRS groups. T2DM PRS values were significantly high in the severe diabetes subgroup, characterized by insulin resistance and beta\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\beta$$\end{document}-cell dysfunction (p value = 0.0012). The prediction models with the T2DM PRS had significantly greater Harrel's C-indices than did corresponding models without it. By utilizing prospective longitudinal study data and extensive clinical risk factor information, our analysis provides valuable insights into the multifaceted clinical utility of the T2DM PRS.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] Risk prediction and interaction analysis using polygenic risk score of type 2 diabetes in a Korean population
    Song, Minsun
    Kwak, Soo Heon
    Kim, Jihyun
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [2] A Risk Score To Identify People at Increased Risk for Type 2 Diabetes Mellitus in Korean Population
    Lee, Jin-Hee
    Kwon, Hyuk-Sang
    Park, Yong-Moon
    Lee, Won-Chul
    Son, Ho-Young
    Yoon, Kun-Ho
    DIABETES, 2009, 58 : A248 - A248
  • [3] Strength of Polygenic Risk Score for Type 2 Diabetes in Arab Population
    Saad, M.
    HUMAN HEREDITY, 2020, 84 (4-5) : 222 - 222
  • [4] Strength of polygenic risk score for type 2 diabetes in Arab population
    Almeer, Hossam
    Alsmadi, Osama
    Elkum, Naser
    Saad, Mohamad
    GENETIC EPIDEMIOLOGY, 2020, 44 (05) : 514 - 514
  • [5] Genome-wide polygenic risk score, cardiometabolic risk factors, and type 2 diabetes mellitus in the Chinese population
    Huang, Ninghao
    Xiao, Wendi
    Lv, Jun
    Yu, Canqing
    Guo, Yu
    Pei, Pei
    Yang, Ling
    Millwood, Iona Y.
    Walters, Robin G.
    Chen, Yiping
    Du, Huaidong
    Avery, Daniel
    Ou, Tingting
    Chen, Junshi
    Chen, Zhengming
    Huang, Tao
    Li, Liming
    OBESITY, 2023, 31 (10) : 2615 - 2626
  • [6] Genome-wide polygenic risk score for type 2 diabetes in Indian population
    Pemmasani, Sandhya Kiran
    Atmakuri, Shravya
    Acharya, Anuradha
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [7] Genome-wide polygenic risk score for type 2 diabetes in Indian population
    Sandhya Kiran Pemmasani
    Shravya Atmakuri
    Anuradha Acharya
    Scientific Reports, 13
  • [8] Type 2 Diabetes Polygenic Score in Addition to Clinical Factors for Prediction of Diabetes Incidence in an Indigenous American Population
    Wedekind, Lauren E.
    Kobes, Sayuko
    Hsueh, Wen-Chi
    Baier, Leslie
    Knowler, William C.
    Mahajan, Anubha
    McCarthy, Mark I.
    Hanson, Robert L.
    DIABETES, 2020, 69
  • [9] Polygenic risk score in type 2 diabetes risk prediction: genomics to healthcare
    Marjonen, H.
    Paajanen, T.
    Auro, K.
    Haukkala, A.
    Kaariainen, H.
    Kristiansson, K.
    Perola, M.
    DIABETOLOGIA, 2020, 63 (SUPPL 1) : S56 - S56
  • [10] Risk of type 2 diabetes mellitus among urban slum population using Indian Diabetes Risk Score
    Nittoori, Sreeja
    Wilson, Vidhya
    INDIAN JOURNAL OF MEDICAL RESEARCH, 2020, 152 (03) : 308 - 311