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The Korea Biobank Array: Design and Identification of Coding Variants Associated with Blood Biochemical Traits
We introduce the design and implementation of a new array, the Korea Biobank Array (referred to as KoreanChip), optimized for the Korean population and demonstrate findings from GWAS of blood biochemical traits. KoreanChip comprised >833,000 markers including >247,000 rare-frequency or functio...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6361960/ https://www.ncbi.nlm.nih.gov/pubmed/30718733 http://dx.doi.org/10.1038/s41598-018-37832-9 |
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author | Moon, Sanghoon Kim, Young Jin Han, Sohee Hwang, Mi Yeong Shin, Dong Mun Park, Min Young Lu, Yontao Yoon, Kyungheon Jang, Hye-Mi Kim, Yun Kyoung Park, Tae-Joon Song, Dae Sub Park, Jae Kyung Lee, Jong-Eun Kim, Bong-Jo |
author_facet | Moon, Sanghoon Kim, Young Jin Han, Sohee Hwang, Mi Yeong Shin, Dong Mun Park, Min Young Lu, Yontao Yoon, Kyungheon Jang, Hye-Mi Kim, Yun Kyoung Park, Tae-Joon Song, Dae Sub Park, Jae Kyung Lee, Jong-Eun Kim, Bong-Jo |
author_sort | Moon, Sanghoon |
collection | PubMed |
description | We introduce the design and implementation of a new array, the Korea Biobank Array (referred to as KoreanChip), optimized for the Korean population and demonstrate findings from GWAS of blood biochemical traits. KoreanChip comprised >833,000 markers including >247,000 rare-frequency or functional variants estimated from >2,500 sequencing data in Koreans. Of the 833 K markers, 208 K functional markers were directly genotyped. Particularly, >89 K markers were presented in East Asians. KoreanChip achieved higher imputation performance owing to the excellent genomic coverage of 95.38% for common and 73.65% for low-frequency variants. From GWAS (Genome-wide association study) using 6,949 individuals, 28 associations were successfully recapitulated. Moreover, 9 missense variants were newly identified, of which we identified new associations between a common population-specific missense variant, rs671 (p.Glu457Lys) of ALDH2, and two traits including aspartate aminotransferase (P = 5.20 × 10(−13)) and alanine aminotransferase (P = 4.98 × 10(−8)). Furthermore, two novel missense variants of GPT with rare frequency in East Asians but extreme rarity in other populations were associated with alanine aminotransferase (rs200088103; p.Arg133Trp, P = 2.02 × 10(−9) and rs748547625; p.Arg143Cys, P = 1.41 × 10(−6)). These variants were successfully replicated in 6,000 individuals (P = 5.30 × 10(−8) and P = 1.24 × 10(−6)). GWAS results suggest the promising utility of KoreanChip with a substantial number of damaging variants to identify new population-specific disease-associated rare/functional variants. |
format | Online Article Text |
id | pubmed-6361960 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-63619602019-02-06 The Korea Biobank Array: Design and Identification of Coding Variants Associated with Blood Biochemical Traits Moon, Sanghoon Kim, Young Jin Han, Sohee Hwang, Mi Yeong Shin, Dong Mun Park, Min Young Lu, Yontao Yoon, Kyungheon Jang, Hye-Mi Kim, Yun Kyoung Park, Tae-Joon Song, Dae Sub Park, Jae Kyung Lee, Jong-Eun Kim, Bong-Jo Sci Rep Article We introduce the design and implementation of a new array, the Korea Biobank Array (referred to as KoreanChip), optimized for the Korean population and demonstrate findings from GWAS of blood biochemical traits. KoreanChip comprised >833,000 markers including >247,000 rare-frequency or functional variants estimated from >2,500 sequencing data in Koreans. Of the 833 K markers, 208 K functional markers were directly genotyped. Particularly, >89 K markers were presented in East Asians. KoreanChip achieved higher imputation performance owing to the excellent genomic coverage of 95.38% for common and 73.65% for low-frequency variants. From GWAS (Genome-wide association study) using 6,949 individuals, 28 associations were successfully recapitulated. Moreover, 9 missense variants were newly identified, of which we identified new associations between a common population-specific missense variant, rs671 (p.Glu457Lys) of ALDH2, and two traits including aspartate aminotransferase (P = 5.20 × 10(−13)) and alanine aminotransferase (P = 4.98 × 10(−8)). Furthermore, two novel missense variants of GPT with rare frequency in East Asians but extreme rarity in other populations were associated with alanine aminotransferase (rs200088103; p.Arg133Trp, P = 2.02 × 10(−9) and rs748547625; p.Arg143Cys, P = 1.41 × 10(−6)). These variants were successfully replicated in 6,000 individuals (P = 5.30 × 10(−8) and P = 1.24 × 10(−6)). GWAS results suggest the promising utility of KoreanChip with a substantial number of damaging variants to identify new population-specific disease-associated rare/functional variants. Nature Publishing Group UK 2019-02-04 /pmc/articles/PMC6361960/ /pubmed/30718733 http://dx.doi.org/10.1038/s41598-018-37832-9 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Moon, Sanghoon Kim, Young Jin Han, Sohee Hwang, Mi Yeong Shin, Dong Mun Park, Min Young Lu, Yontao Yoon, Kyungheon Jang, Hye-Mi Kim, Yun Kyoung Park, Tae-Joon Song, Dae Sub Park, Jae Kyung Lee, Jong-Eun Kim, Bong-Jo The Korea Biobank Array: Design and Identification of Coding Variants Associated with Blood Biochemical Traits |
title | The Korea Biobank Array: Design and Identification of Coding Variants Associated with Blood Biochemical Traits |
title_full | The Korea Biobank Array: Design and Identification of Coding Variants Associated with Blood Biochemical Traits |
title_fullStr | The Korea Biobank Array: Design and Identification of Coding Variants Associated with Blood Biochemical Traits |
title_full_unstemmed | The Korea Biobank Array: Design and Identification of Coding Variants Associated with Blood Biochemical Traits |
title_short | The Korea Biobank Array: Design and Identification of Coding Variants Associated with Blood Biochemical Traits |
title_sort | korea biobank array: design and identification of coding variants associated with blood biochemical traits |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6361960/ https://www.ncbi.nlm.nih.gov/pubmed/30718733 http://dx.doi.org/10.1038/s41598-018-37832-9 |
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