Practical Calling Approach for Exome Array-Based Genome-Wide Association Studies in Korean Population

Exome-based genotyping arrays are cost-effective and have recently been used as alternative platforms to whole-exome sequencing. However, the automated clustering algorithm in an exome array has a genotype calling problem in accuracy for identifying rare and low-frequency variants. To address these...

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Main Authors: Tae-Joon Park, Lyong Heo, Sanghoon Moon, Young Jin Kim, Ji Hee Oh, Sohee Han, Bong-Jo Kim
Format: Article
Language:English
Published: Wiley 2015-01-01
Series:International Journal of Genomics
Online Access:http://dx.doi.org/10.1155/2015/421715
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author Tae-Joon Park
Lyong Heo
Sanghoon Moon
Young Jin Kim
Ji Hee Oh
Sohee Han
Bong-Jo Kim
author_facet Tae-Joon Park
Lyong Heo
Sanghoon Moon
Young Jin Kim
Ji Hee Oh
Sohee Han
Bong-Jo Kim
author_sort Tae-Joon Park
collection DOAJ
description Exome-based genotyping arrays are cost-effective and have recently been used as alternative platforms to whole-exome sequencing. However, the automated clustering algorithm in an exome array has a genotype calling problem in accuracy for identifying rare and low-frequency variants. To address these shortcomings, we present a practical approach for accurate genotype calling using the Illumina Infinium HumanExome BeadChip. We present comparison results and a statistical summary of our genotype data sets. Our data set comprises 14,647 Korean samples. To solve the limitation of automated clustering, we performed manual genotype clustering for the targeted identification of 46,076 variants that were identified using GenomeStudio software. To evaluate the effects of applying custom cluster files, we tested cluster files using 804 independent Korean samples and the same platform. Our study firstly suggests practical guidelines for exome chip quality control in Asian populations and provides valuable insight into an association study using exome chip.
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publishDate 2015-01-01
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series International Journal of Genomics
spelling doaj-art-332eff33b066454282dca70a714ebc7b2025-02-03T05:45:10ZengWileyInternational Journal of Genomics2314-436X2314-43782015-01-01201510.1155/2015/421715421715Practical Calling Approach for Exome Array-Based Genome-Wide Association Studies in Korean PopulationTae-Joon Park0Lyong Heo1Sanghoon Moon2Young Jin Kim3Ji Hee Oh4Sohee Han5Bong-Jo Kim6Division of Structural and Functional Genomics, Center for Genome Science, National Institute of Health, Centers for Disease Control and Prevention, Chungcheongbuk-do 363-700, Republic of KoreaDivision of Structural and Functional Genomics, Center for Genome Science, National Institute of Health, Centers for Disease Control and Prevention, Chungcheongbuk-do 363-700, Republic of KoreaDivision of Structural and Functional Genomics, Center for Genome Science, National Institute of Health, Centers for Disease Control and Prevention, Chungcheongbuk-do 363-700, Republic of KoreaDivision of Structural and Functional Genomics, Center for Genome Science, National Institute of Health, Centers for Disease Control and Prevention, Chungcheongbuk-do 363-700, Republic of KoreaDivision of Structural and Functional Genomics, Center for Genome Science, National Institute of Health, Centers for Disease Control and Prevention, Chungcheongbuk-do 363-700, Republic of KoreaDivision of Structural and Functional Genomics, Center for Genome Science, National Institute of Health, Centers for Disease Control and Prevention, Chungcheongbuk-do 363-700, Republic of KoreaDivision of Structural and Functional Genomics, Center for Genome Science, National Institute of Health, Centers for Disease Control and Prevention, Chungcheongbuk-do 363-700, Republic of KoreaExome-based genotyping arrays are cost-effective and have recently been used as alternative platforms to whole-exome sequencing. However, the automated clustering algorithm in an exome array has a genotype calling problem in accuracy for identifying rare and low-frequency variants. To address these shortcomings, we present a practical approach for accurate genotype calling using the Illumina Infinium HumanExome BeadChip. We present comparison results and a statistical summary of our genotype data sets. Our data set comprises 14,647 Korean samples. To solve the limitation of automated clustering, we performed manual genotype clustering for the targeted identification of 46,076 variants that were identified using GenomeStudio software. To evaluate the effects of applying custom cluster files, we tested cluster files using 804 independent Korean samples and the same platform. Our study firstly suggests practical guidelines for exome chip quality control in Asian populations and provides valuable insight into an association study using exome chip.http://dx.doi.org/10.1155/2015/421715
spellingShingle Tae-Joon Park
Lyong Heo
Sanghoon Moon
Young Jin Kim
Ji Hee Oh
Sohee Han
Bong-Jo Kim
Practical Calling Approach for Exome Array-Based Genome-Wide Association Studies in Korean Population
International Journal of Genomics
title Practical Calling Approach for Exome Array-Based Genome-Wide Association Studies in Korean Population
title_full Practical Calling Approach for Exome Array-Based Genome-Wide Association Studies in Korean Population
title_fullStr Practical Calling Approach for Exome Array-Based Genome-Wide Association Studies in Korean Population
title_full_unstemmed Practical Calling Approach for Exome Array-Based Genome-Wide Association Studies in Korean Population
title_short Practical Calling Approach for Exome Array-Based Genome-Wide Association Studies in Korean Population
title_sort practical calling approach for exome array based genome wide association studies in korean population
url http://dx.doi.org/10.1155/2015/421715
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