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    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/118662

    題名: Genetic Architecture Associated With Familial Short Stature
    作者: Lin, Ying-Ju;Cheng, Chi-Fung;Wang, Chung-Hsing;Liang, Wen-Miin;Tang, Chih-Hsin;Tsai, Li-Ping;Chen, Chien-Hsiun;Wu, Jer-Yuarn;Hsieh, Ai-Ru;Lee, Ming Ta Michael;Lin, Ting-Hsu;Liao, Chiu-Chu;Huang, Shao-Mei;Zhang, Yanfei;Tsai, Chang-Hai;Tsai, Fuu-Jen
    關鍵詞: GWAS;Han Chinese ancestry;familial short stature;human height;polygenic trait
    日期: 2020-06
    上傳時間: 2020-06-01 12:11:55 (UTC+8)
    摘要: Context: Human height is an inheritable, polygenic trait under complex and multilocus genetic regulation. Familial short stature (FSS; also called genetic short stature) is the most common type of short stature and is insufficiently known.

    Objective: To investigate the FSS genetic profile and develop a polygenic risk predisposition score for FSS risk prediction.

    Design and setting: The FSS participant group of Han Chinese ancestry was diagnosed by pediatric endocrinologists in Taiwan.

    Patients and interventions: The genetic profiles of 1163 participants with FSS were identified by using a bootstrapping subsampling and genome-wide association studies (GWAS) method.

    Main outcome measures: Genetic profile, polygenic risk predisposition score for risk prediction.

    Results: Ten novel genetic single nucleotide polymorphisms (SNPs) and 9 reported GWAS human height-related SNPs were identified for FSS risk. These 10 novel SNPs served as a polygenic risk predisposition score for FSS risk prediction (area under the curve: 0.940 in the testing group). This FSS polygenic risk predisposition score was also associated with the height reduction regression tendency in the general population.

    Conclusion: A polygenic risk predisposition score composed of 10 genetic SNPs is useful for FSS risk prediction and the height reduction tendency. Thus, it might contribute to FSS risk in the Han Chinese population from Taiwan.
    關聯: The Journal of Clinical Endocrinology and Metabolism 105(6)
    DOI: 10.1210/clinem/dgaa131
    顯示於類別:[統計學系暨研究所] 期刊論文


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