Evaluating polygenic risk scores for predicting cardiometabolic traits and disease risks in the Taiwan Biobank
Summary: Type 2 diabetes (T2D) and hypertension are common comorbidities and, along with hyperlipidemia, serve as risk factors for cardiovascular diseases. This study aimed to evaluate the predictive value of polygenic risk scores (PRSs) on cardiometabolic traits related to T2D, hypertension, and hy...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-01-01
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| Series: | HGG Advances |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666247723000921 |
| _version_ | 1797382883969597440 |
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| author | Ren-Hua Chung Shao-Yuan Chuang Yong-Sheng Zhuang Yi-Syuan Jhang Tsung-Hsien Huang Guo-Hung Li I-Shou Chang Chao A. Hsiung Hung-Yi Chiou |
| author_facet | Ren-Hua Chung Shao-Yuan Chuang Yong-Sheng Zhuang Yi-Syuan Jhang Tsung-Hsien Huang Guo-Hung Li I-Shou Chang Chao A. Hsiung Hung-Yi Chiou |
| author_sort | Ren-Hua Chung |
| collection | DOAJ |
| description | Summary: Type 2 diabetes (T2D) and hypertension are common comorbidities and, along with hyperlipidemia, serve as risk factors for cardiovascular diseases. This study aimed to evaluate the predictive value of polygenic risk scores (PRSs) on cardiometabolic traits related to T2D, hypertension, and hyperlipidemia and the incidence of these three diseases in Taiwan Biobank samples. Using publicly available, large-scale genome-wide association studies summary statistics, we constructed cross-ethnic PRSs for T2D, hypertension, body mass index, and nine quantitative traits typically used to define the three diseases. A composite PRS (cPRS) for each of the nine traits was constructed by aggregating the significant PRSs of its genetically correlated traits. The associations of each of the nine traits at baseline as well as the change of trait values during a 3- to 6-year follow-up period with its cPRS were evaluated. The predictive performances of cPRSs in predicting future incidences of T2D, hypertension, and hyperlipidemia were assessed. The cPRSs had significant associations with baseline and changes of trait values in 3–6 years and explained a higher proportion of variance for all traits than individual PRSs. Furthermore, models incorporating disease-related cPRSs, along with clinical features and relevant trait measurements achieved area under the curve values of 87.8%, 83.7%, and 75.9% for predicting future T2D, hypertension, and hyperlipidemia in 3–6 years, respectively. |
| first_indexed | 2024-03-08T21:11:52Z |
| format | Article |
| id | doaj.art-e361179650f44019a5a98660094d7302 |
| institution | Directory Open Access Journal |
| issn | 2666-2477 |
| language | English |
| last_indexed | 2024-03-08T21:11:52Z |
| publishDate | 2024-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | HGG Advances |
| spelling | doaj.art-e361179650f44019a5a98660094d73022023-12-22T05:34:20ZengElsevierHGG Advances2666-24772024-01-0151100260Evaluating polygenic risk scores for predicting cardiometabolic traits and disease risks in the Taiwan BiobankRen-Hua Chung0Shao-Yuan Chuang1Yong-Sheng Zhuang2Yi-Syuan Jhang3Tsung-Hsien Huang4Guo-Hung Li5I-Shou Chang6Chao A. Hsiung7Hung-Yi Chiou8Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan; Corresponding authorInstitute of Population Health Sciences, National Health Research Institutes, Zhunan, TaiwanInstitute of Population Health Sciences, National Health Research Institutes, Zhunan, TaiwanInstitute of Population Health Sciences, National Health Research Institutes, Zhunan, TaiwanInstitute of Population Health Sciences, National Health Research Institutes, Zhunan, TaiwanInstitute of Population Health Sciences, National Health Research Institutes, Zhunan, TaiwanNational Institute of Cancer Research, National Health Research Institutes, Zhunan, TaiwanInstitute of Population Health Sciences, National Health Research Institutes, Zhunan, TaiwanInstitute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan; School of Public Health, College of Public Health, Taipei Medical University, Taipei, TaiwanSummary: Type 2 diabetes (T2D) and hypertension are common comorbidities and, along with hyperlipidemia, serve as risk factors for cardiovascular diseases. This study aimed to evaluate the predictive value of polygenic risk scores (PRSs) on cardiometabolic traits related to T2D, hypertension, and hyperlipidemia and the incidence of these three diseases in Taiwan Biobank samples. Using publicly available, large-scale genome-wide association studies summary statistics, we constructed cross-ethnic PRSs for T2D, hypertension, body mass index, and nine quantitative traits typically used to define the three diseases. A composite PRS (cPRS) for each of the nine traits was constructed by aggregating the significant PRSs of its genetically correlated traits. The associations of each of the nine traits at baseline as well as the change of trait values during a 3- to 6-year follow-up period with its cPRS were evaluated. The predictive performances of cPRSs in predicting future incidences of T2D, hypertension, and hyperlipidemia were assessed. The cPRSs had significant associations with baseline and changes of trait values in 3–6 years and explained a higher proportion of variance for all traits than individual PRSs. Furthermore, models incorporating disease-related cPRSs, along with clinical features and relevant trait measurements achieved area under the curve values of 87.8%, 83.7%, and 75.9% for predicting future T2D, hypertension, and hyperlipidemia in 3–6 years, respectively.http://www.sciencedirect.com/science/article/pii/S2666247723000921Polygenic risk scoreCardiometabolic traitsType 2 diabetesHypertensionHyperlipidemiaPredictive models |
| spellingShingle | Ren-Hua Chung Shao-Yuan Chuang Yong-Sheng Zhuang Yi-Syuan Jhang Tsung-Hsien Huang Guo-Hung Li I-Shou Chang Chao A. Hsiung Hung-Yi Chiou Evaluating polygenic risk scores for predicting cardiometabolic traits and disease risks in the Taiwan Biobank HGG Advances Polygenic risk score Cardiometabolic traits Type 2 diabetes Hypertension Hyperlipidemia Predictive models |
| title | Evaluating polygenic risk scores for predicting cardiometabolic traits and disease risks in the Taiwan Biobank |
| title_full | Evaluating polygenic risk scores for predicting cardiometabolic traits and disease risks in the Taiwan Biobank |
| title_fullStr | Evaluating polygenic risk scores for predicting cardiometabolic traits and disease risks in the Taiwan Biobank |
| title_full_unstemmed | Evaluating polygenic risk scores for predicting cardiometabolic traits and disease risks in the Taiwan Biobank |
| title_short | Evaluating polygenic risk scores for predicting cardiometabolic traits and disease risks in the Taiwan Biobank |
| title_sort | evaluating polygenic risk scores for predicting cardiometabolic traits and disease risks in the taiwan biobank |
| topic | Polygenic risk score Cardiometabolic traits Type 2 diabetes Hypertension Hyperlipidemia Predictive models |
| url | http://www.sciencedirect.com/science/article/pii/S2666247723000921 |
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