Amrita ChattopadhyayLee, Chien-YuehChien-YuehLeeShen, Ying-ChengYing-ChengShenLu, Kuan-ChenKuan-ChenLuHsiao, Tzu-HungTzu-HungHsiaoLin, Ching-HengChing-HengLinLIANG-CHUAN LAITsai, Mong-HsunMong-HsunTsaiTZU-PIN LUERIC YAO-YU CHUANG2023-07-032023-07-032023-06-1015320464https://scholars.lib.ntu.edu.tw/handle/123456789/633295Genotype imputation is a commonly used technique that infers un-typed variants into a study's genotype data, allowing better identification of causal variants in disease studies. However, due to overrepresentation of Caucasian studies, there's a lack of understanding of genetic basis of health-outcomes in other ethnic populations. Therefore, facilitating imputation of missing key-predictor-variants that can potentially improve a risk health-outcome prediction model, specifically for Asian ancestry, is of utmost relevance.enBeagle5.1; Genotype imputation; IMPUTE2; IMPUTE5; Taiwan biobank; Web-server[SDGs]SDG3[SDGs]SDG17journal article10.1016/j.jbi.2023.104423373080342-s2.0-85162109463https://api.elsevier.com/content/abstract/scopus_id/85162109463