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Additional file 1 of Development of genome-wide polygenic risk scores for lipid traits and clinical applications for dyslipidemia, subclinical atherosclerosis, and diabetes cardiovascular complications among East Asians

Authors :
Tam, Claudia H. T.
Cadmon K. P. Lim
Luk, Andrea O. Y.
Ng, Alex C. W.
Heung-Man Lee
Guozhi Jiang
Lau, Eric S. H.
Baoqi Fan
Wan, Raymond
Kong, Alice P. S.
Wing-Hung Tam
Ozaki, Risa
Chow, Elaine Y. K.
Ka-Fai Lee
Shing-Chung Siu
Hui, Grace
Chiu-Chi Tsang
Kam-Piu Lau
Leung, Jenny Y. Y.
Man-Wo Tsang
Kam, Grace
Ip-Tim Lau
Li, June K. Y.
Yeung, Vincent T. F.
Lau, Emmy
Lo, Stanley
Fung, Samuel
Yuk-Lun Cheng
Chun-Chung Chow
Hu, Miao
Weichuan Yu
Tsui, Stephen K. W.
Huang, Yu
Huiyao Lan
Cheuk-Chun Szeto
Tang, Nelson L. S.
Ng, Maggie C. Y.
Wing-Yee So
Tomlinson, Brian
Chan, Juliana C. N.
Ma, Ronald C. W.
Publication Year :
2021
Publisher :
figshare, 2021.

Abstract

Additional file 1: Supplementary methods: 1) Hong Kong Diabetes Register TRS Study Group Members; 2) Hong Kong Diabetes Biobank Study Group Members; and 3) Cohort descriptions. Figure S1. Principal component analysis (PCA). Figure S2. Pooled correlations of each candidate polygenic risk scores with measured lipid traits. Figure S3. Proportion of phenotypic variance in lipid traits explained by each candidate polygenic risk scores. Figure S4. Geometric means of measured lipid traits stratified by the quintile of polygenic risk score with the best performance. Figure S5. Geometric means of measured lipid traits at baseline and follow-up, and three-year changes in lipid traits stratified by quintile of polygenic risk scores in adolescents.

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....220e69956f04913396adf54e7fe03b24
Full Text :
https://doi.org/10.6084/m9.figshare.14068004