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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...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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. |
format | Online Article Text |
id | pubmed-8618593 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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