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Genome-Wide Polygenic Risk Score for Predicting High Risk Glaucoma Individuals of Han Chinese Ancestry

Glaucoma is a progressive and irreversible blindness-causing disease. However, the underlying genetic factors and molecular mechanisms remain poorly understood. Previous genome-wide association studies (GWAS) have made tremendous progress on the SNP-based disease association and characterization. Ho...

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Autores principales: Hsiao, Yu-Jer, Chuang, Hao-Kai, Chi, Sheng-Chu, Wang, Yung-Yu, Chiang, Pin-Hsuan, Teng, Pai-Chi, Kuang, Tung-Mei, Yarmishyn, Aliaksandr A., Lin, Tai-Chi, Hwang, De-Kuang, Chen, Shih-Jen, Chiou, Shih-Hwa, Chen, Mei-Ju, Hsieh, Ai-Ru, Hsu, Chih-Chien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8618593/
https://www.ncbi.nlm.nih.gov/pubmed/34834521
http://dx.doi.org/10.3390/jpm11111169
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author Hsiao, Yu-Jer
Chuang, Hao-Kai
Chi, Sheng-Chu
Wang, Yung-Yu
Chiang, Pin-Hsuan
Teng, Pai-Chi
Kuang, Tung-Mei
Yarmishyn, Aliaksandr A.
Lin, Tai-Chi
Hwang, De-Kuang
Chen, Shih-Jen
Chiou, Shih-Hwa
Chen, Mei-Ju
Hsieh, Ai-Ru
Hsu, Chih-Chien
author_facet Hsiao, Yu-Jer
Chuang, Hao-Kai
Chi, Sheng-Chu
Wang, Yung-Yu
Chiang, Pin-Hsuan
Teng, Pai-Chi
Kuang, Tung-Mei
Yarmishyn, Aliaksandr A.
Lin, Tai-Chi
Hwang, De-Kuang
Chen, Shih-Jen
Chiou, Shih-Hwa
Chen, Mei-Ju
Hsieh, Ai-Ru
Hsu, Chih-Chien
author_sort Hsiao, Yu-Jer
collection PubMed
description Glaucoma is a progressive and irreversible blindness-causing disease. However, the underlying genetic factors and molecular mechanisms remain poorly understood. Previous genome-wide association studies (GWAS) have made tremendous progress on the SNP-based disease association and characterization. However, most of them were conducted for Europeans. Since differential genetic characteristics among ethnic groups were evident in glaucoma, it is worthwhile to complete its genetic landscape from the larger cohorts of Asian individuals. Here, we present a GWAS based on the Taiwan Biobank. Among 1013 glaucoma patients and 36,562 controls, we identified a total of 138 independent glaucoma-associated SNPs at the significance level of p < 1 × 10(−5). After clumping genetically linked SNPs (LD clumping), 134 independent SNPs with p < 10(−4) were recruited to construct a Polygenic Risk Score (PRS). The model achieved an area under the receiver operating characteristic curve (AUC) of 0.8387 (95% CI = [0.8269–0.8506]), and those within the top PRS quantile had a 45.48-fold increased risk of glaucoma compared with those within the lowest quantile. The PRS model was validated with an independent cohort that achieved an AUC of 0.7283, thereby showing the effectiveness of our polygenic risk score in predicting individuals in the Han Chinese population with higher glaucoma risks.
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spelling pubmed-86185932021-11-27 Genome-Wide Polygenic Risk Score for Predicting High Risk Glaucoma Individuals of Han Chinese Ancestry Hsiao, Yu-Jer Chuang, Hao-Kai Chi, Sheng-Chu Wang, Yung-Yu Chiang, Pin-Hsuan Teng, Pai-Chi Kuang, Tung-Mei Yarmishyn, Aliaksandr A. Lin, Tai-Chi Hwang, De-Kuang Chen, Shih-Jen Chiou, Shih-Hwa Chen, Mei-Ju Hsieh, Ai-Ru Hsu, Chih-Chien J Pers Med Article Glaucoma is a progressive and irreversible blindness-causing disease. However, the underlying genetic factors and molecular mechanisms remain poorly understood. Previous genome-wide association studies (GWAS) have made tremendous progress on the SNP-based disease association and characterization. However, most of them were conducted for Europeans. Since differential genetic characteristics among ethnic groups were evident in glaucoma, it is worthwhile to complete its genetic landscape from the larger cohorts of Asian individuals. Here, we present a GWAS based on the Taiwan Biobank. Among 1013 glaucoma patients and 36,562 controls, we identified a total of 138 independent glaucoma-associated SNPs at the significance level of p < 1 × 10(−5). After clumping genetically linked SNPs (LD clumping), 134 independent SNPs with p < 10(−4) were recruited to construct a Polygenic Risk Score (PRS). The model achieved an area under the receiver operating characteristic curve (AUC) of 0.8387 (95% CI = [0.8269–0.8506]), and those within the top PRS quantile had a 45.48-fold increased risk of glaucoma compared with those within the lowest quantile. The PRS model was validated with an independent cohort that achieved an AUC of 0.7283, thereby showing the effectiveness of our polygenic risk score in predicting individuals in the Han Chinese population with higher glaucoma risks. MDPI 2021-11-09 /pmc/articles/PMC8618593/ /pubmed/34834521 http://dx.doi.org/10.3390/jpm11111169 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hsiao, Yu-Jer
Chuang, Hao-Kai
Chi, Sheng-Chu
Wang, Yung-Yu
Chiang, Pin-Hsuan
Teng, Pai-Chi
Kuang, Tung-Mei
Yarmishyn, Aliaksandr A.
Lin, Tai-Chi
Hwang, De-Kuang
Chen, Shih-Jen
Chiou, Shih-Hwa
Chen, Mei-Ju
Hsieh, Ai-Ru
Hsu, Chih-Chien
Genome-Wide Polygenic Risk Score for Predicting High Risk Glaucoma Individuals of Han Chinese Ancestry
title Genome-Wide Polygenic Risk Score for Predicting High Risk Glaucoma Individuals of Han Chinese Ancestry
title_full Genome-Wide Polygenic Risk Score for Predicting High Risk Glaucoma Individuals of Han Chinese Ancestry
title_fullStr Genome-Wide Polygenic Risk Score for Predicting High Risk Glaucoma Individuals of Han Chinese Ancestry
title_full_unstemmed Genome-Wide Polygenic Risk Score for Predicting High Risk Glaucoma Individuals of Han Chinese Ancestry
title_short Genome-Wide Polygenic Risk Score for Predicting High Risk Glaucoma Individuals of Han Chinese Ancestry
title_sort genome-wide polygenic risk score for predicting high risk glaucoma individuals of han chinese ancestry
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8618593/
https://www.ncbi.nlm.nih.gov/pubmed/34834521
http://dx.doi.org/10.3390/jpm11111169
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