Polygenic height prediction for the Han Chinese in Taiwan
Abstract Human height prediction based on genetic factors alone shows positive correlation, but predictors developed for one population perform less well when applied to population of different ancestries. In this study, we evaluated the utility of incorporating non-genetic factors in height predict...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-02-01
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| Series: | npj Genomic Medicine |
| Online Access: | https://doi.org/10.1038/s41525-025-00468-6 |
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| author | Chih-Hao Chang Che-Yu Chou Timothy G. Raben Shih-Ann Chen Yuh-Jyh Jong Jeng-Yih Wu Shun-Fa Yang Hsiang-Cheng Chen Yen-Lin Chen Ming Chen Gwo-Chin Ma Chih-Yang Huang Tso-Fu Wang Sing-Lian Lee Chen-Fang Hung See-Tong Pang Erik Widen Yao-Ming Chang Erh-Chan Yeh Chun-Yu Wei Chien-Hsiun Chen Stephen D. H. Hsu Pui-Yan Kwok |
| author_facet | Chih-Hao Chang Che-Yu Chou Timothy G. Raben Shih-Ann Chen Yuh-Jyh Jong Jeng-Yih Wu Shun-Fa Yang Hsiang-Cheng Chen Yen-Lin Chen Ming Chen Gwo-Chin Ma Chih-Yang Huang Tso-Fu Wang Sing-Lian Lee Chen-Fang Hung See-Tong Pang Erik Widen Yao-Ming Chang Erh-Chan Yeh Chun-Yu Wei Chien-Hsiun Chen Stephen D. H. Hsu Pui-Yan Kwok |
| author_sort | Chih-Hao Chang |
| collection | DOAJ |
| description | Abstract Human height prediction based on genetic factors alone shows positive correlation, but predictors developed for one population perform less well when applied to population of different ancestries. In this study, we evaluated the utility of incorporating non-genetic factors in height predictors for the Han Chinese population in Taiwan. We analyzed data from 78,719 Taiwan Biobank (TWB) participants and 40,641 Taiwan Precision Medicine Initiative (TPMI) participants using genome-wide association study and multivariable linear regression least absolute shrinkage and selection operator (LASSO) methods to incorporate genetic and non-genetic factors for height prediction. Our findings establish that combining birth year (as a surrogate for nutritional status), age at measurement (to account for age-associated effects on height), and genetic profile data improves the accuracy of height prediction. This method enhances the correlation between predicted and actual height and significantly reduces the discrepancies between predicted and actual height in both males and females. |
| format | Article |
| id | doaj-art-eeb1a7e9a05343e791648d59e4ab9cd1 |
| institution | Kabale University |
| issn | 2056-7944 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Genomic Medicine |
| spelling | doaj-art-eeb1a7e9a05343e791648d59e4ab9cd12025-02-09T12:48:24ZengNature Portfolionpj Genomic Medicine2056-79442025-02-0110111010.1038/s41525-025-00468-6Polygenic height prediction for the Han Chinese in TaiwanChih-Hao Chang0Che-Yu Chou1Timothy G. Raben2Shih-Ann Chen3Yuh-Jyh Jong4Jeng-Yih Wu5Shun-Fa Yang6Hsiang-Cheng Chen7Yen-Lin Chen8Ming Chen9Gwo-Chin Ma10Chih-Yang Huang11Tso-Fu Wang12Sing-Lian Lee13Chen-Fang Hung14See-Tong Pang15Erik Widen16Yao-Ming Chang17Erh-Chan Yeh18Chun-Yu Wei19Chien-Hsiun Chen20Stephen D. H. Hsu21Pui-Yan Kwok22Institute of Biomedical Sciences, Academia SinicaInstitute of Biomedical Sciences, Academia SinicaDepartment of Physics and Astronomy, Michigan State UniversityDepartment of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing UniversityChair Professor of Graduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University (KMU)Health Management Center, Department of Gastroenterology, Kaohsiung Medical University Hospital, Kaohsiung Medical UniversityInstitute of Medicine, Chung Shan Medical UniversityDivision of Rheumatology/Immunology and Allergy, Department of Internal Medicine, Tri‑Service General Hospital, National Defense Medical CenterCenter for Precision Medicine and Genomics, 2. Department of Pathology, Tri-Service General Hospital, National Defense Medical CenterDepartment of Genomic Medicine, Changhua Christian HospitalDepartment of Genomic Medicine, Changhua Christian HospitalCardiovascular and Mitochondria Related Disease Research Center, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical FoundationDepartment of Hematology and Oncology, Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical FoundationDivision of Endocrinology, Department of Internal Medicine, Koo Foundation Sun Yat-Sen Cancer CenterDepartment of Research, Koo Foundation Sun Yat-Sen Cancer CenterChang Gung Memorial Hospital at LinkouDepartment of Physics and Astronomy, Michigan State UniversityInstitute of Biomedical Sciences, Academia SinicaInstitute of Biomedical Sciences, Academia SinicaInstitute of Biomedical Sciences, Academia SinicaInstitute of Biomedical Sciences, Academia SinicaDepartment of Physics and Astronomy, Michigan State UniversityInstitute of Biomedical Sciences, Academia SinicaAbstract Human height prediction based on genetic factors alone shows positive correlation, but predictors developed for one population perform less well when applied to population of different ancestries. In this study, we evaluated the utility of incorporating non-genetic factors in height predictors for the Han Chinese population in Taiwan. We analyzed data from 78,719 Taiwan Biobank (TWB) participants and 40,641 Taiwan Precision Medicine Initiative (TPMI) participants using genome-wide association study and multivariable linear regression least absolute shrinkage and selection operator (LASSO) methods to incorporate genetic and non-genetic factors for height prediction. Our findings establish that combining birth year (as a surrogate for nutritional status), age at measurement (to account for age-associated effects on height), and genetic profile data improves the accuracy of height prediction. This method enhances the correlation between predicted and actual height and significantly reduces the discrepancies between predicted and actual height in both males and females.https://doi.org/10.1038/s41525-025-00468-6 |
| spellingShingle | Chih-Hao Chang Che-Yu Chou Timothy G. Raben Shih-Ann Chen Yuh-Jyh Jong Jeng-Yih Wu Shun-Fa Yang Hsiang-Cheng Chen Yen-Lin Chen Ming Chen Gwo-Chin Ma Chih-Yang Huang Tso-Fu Wang Sing-Lian Lee Chen-Fang Hung See-Tong Pang Erik Widen Yao-Ming Chang Erh-Chan Yeh Chun-Yu Wei Chien-Hsiun Chen Stephen D. H. Hsu Pui-Yan Kwok Polygenic height prediction for the Han Chinese in Taiwan npj Genomic Medicine |
| title | Polygenic height prediction for the Han Chinese in Taiwan |
| title_full | Polygenic height prediction for the Han Chinese in Taiwan |
| title_fullStr | Polygenic height prediction for the Han Chinese in Taiwan |
| title_full_unstemmed | Polygenic height prediction for the Han Chinese in Taiwan |
| title_short | Polygenic height prediction for the Han Chinese in Taiwan |
| title_sort | polygenic height prediction for the han chinese in taiwan |
| url | https://doi.org/10.1038/s41525-025-00468-6 |
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