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Integrative Analysis of Omics Data Reveals Regulatory Network of CDK10 in Vitiligo Risk

Vitiligo is a multifactorial polygenic disorder, characterized by acquired depigmented skin and overlying hair resulting from the destruction of melanocytes. Genome-wide association studies (GWASs) of vitiligo have identified approximately 100 genetic variants. However, the identification of functio...

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Autores principales: Cai, Minglong, Yuan, Tao, Huang, He, Gui, Lan, Zhang, Li, Meng, Ziyuan, Wu, Wenjuan, Sheng, Yujun, Zhang, Xuejun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7925885/
https://www.ncbi.nlm.nih.gov/pubmed/33679896
http://dx.doi.org/10.3389/fgene.2021.634553
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author Cai, Minglong
Yuan, Tao
Huang, He
Gui, Lan
Zhang, Li
Meng, Ziyuan
Wu, Wenjuan
Sheng, Yujun
Zhang, Xuejun
author_facet Cai, Minglong
Yuan, Tao
Huang, He
Gui, Lan
Zhang, Li
Meng, Ziyuan
Wu, Wenjuan
Sheng, Yujun
Zhang, Xuejun
author_sort Cai, Minglong
collection PubMed
description Vitiligo is a multifactorial polygenic disorder, characterized by acquired depigmented skin and overlying hair resulting from the destruction of melanocytes. Genome-wide association studies (GWASs) of vitiligo have identified approximately 100 genetic variants. However, the identification of functional genes and their regulatory elements remains a challenge. To prioritize putative functional genes and DNAm sites, we performed a Summary data-based Mendelian Randomization (SMR) and heterogeneity in dependent instruments (HEIDI) test to integrate omics summary statistics from GWAS, expression quantitative trait locus (eQTL), and methylation quantitative trait loci (meQTL) analysis of large sample size. By integrating omics data, we identified two newly putative functional genes (SPATA2L and CDK10) associated with vitiligo and further validated CDK10 by qRT-PCR in independent samples. We also identified 17 vitiligo-associated DNA methylation (DNAm) sites in Chr16, of which cg05175606 was significantly associated with the expression of CDK10 and vitiligo. Colocalization analyses detected transcript of CDK10 in the blood and skin colocalizing with cg05175606 at single nucleotide polymorphism (SNP) rs77651727. Our findings revealed that a shared genetic variant rs77651727 alters the cg05175606 as well as up-regulates gene expression of CDK10 and further decreases the risk of vitiligo.
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spelling pubmed-79258852021-03-04 Integrative Analysis of Omics Data Reveals Regulatory Network of CDK10 in Vitiligo Risk Cai, Minglong Yuan, Tao Huang, He Gui, Lan Zhang, Li Meng, Ziyuan Wu, Wenjuan Sheng, Yujun Zhang, Xuejun Front Genet Genetics Vitiligo is a multifactorial polygenic disorder, characterized by acquired depigmented skin and overlying hair resulting from the destruction of melanocytes. Genome-wide association studies (GWASs) of vitiligo have identified approximately 100 genetic variants. However, the identification of functional genes and their regulatory elements remains a challenge. To prioritize putative functional genes and DNAm sites, we performed a Summary data-based Mendelian Randomization (SMR) and heterogeneity in dependent instruments (HEIDI) test to integrate omics summary statistics from GWAS, expression quantitative trait locus (eQTL), and methylation quantitative trait loci (meQTL) analysis of large sample size. By integrating omics data, we identified two newly putative functional genes (SPATA2L and CDK10) associated with vitiligo and further validated CDK10 by qRT-PCR in independent samples. We also identified 17 vitiligo-associated DNA methylation (DNAm) sites in Chr16, of which cg05175606 was significantly associated with the expression of CDK10 and vitiligo. Colocalization analyses detected transcript of CDK10 in the blood and skin colocalizing with cg05175606 at single nucleotide polymorphism (SNP) rs77651727. Our findings revealed that a shared genetic variant rs77651727 alters the cg05175606 as well as up-regulates gene expression of CDK10 and further decreases the risk of vitiligo. Frontiers Media S.A. 2021-02-17 /pmc/articles/PMC7925885/ /pubmed/33679896 http://dx.doi.org/10.3389/fgene.2021.634553 Text en Copyright © 2021 Cai, Yuan, Huang, Gui, Zhang, Meng, Wu, Sheng and Zhang. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Cai, Minglong
Yuan, Tao
Huang, He
Gui, Lan
Zhang, Li
Meng, Ziyuan
Wu, Wenjuan
Sheng, Yujun
Zhang, Xuejun
Integrative Analysis of Omics Data Reveals Regulatory Network of CDK10 in Vitiligo Risk
title Integrative Analysis of Omics Data Reveals Regulatory Network of CDK10 in Vitiligo Risk
title_full Integrative Analysis of Omics Data Reveals Regulatory Network of CDK10 in Vitiligo Risk
title_fullStr Integrative Analysis of Omics Data Reveals Regulatory Network of CDK10 in Vitiligo Risk
title_full_unstemmed Integrative Analysis of Omics Data Reveals Regulatory Network of CDK10 in Vitiligo Risk
title_short Integrative Analysis of Omics Data Reveals Regulatory Network of CDK10 in Vitiligo Risk
title_sort integrative analysis of omics data reveals regulatory network of cdk10 in vitiligo risk
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7925885/
https://www.ncbi.nlm.nih.gov/pubmed/33679896
http://dx.doi.org/10.3389/fgene.2021.634553
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