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Transcriptome-wide association study identifies novel candidate susceptibility genes for migraine
Genome-wide association studies (GWASs) have identified more than 130 genetic susceptibility loci for migraine; however, how most of these loci impact migraine development is unknown. To identify novel genes associated with migraine and interpret the transcriptional products of those genes, we condu...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10319829/ https://www.ncbi.nlm.nih.gov/pubmed/37415806 http://dx.doi.org/10.1016/j.xhgg.2023.100211 |
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author | Meyers, Travis J. Yin, Jie Herrera, Victor A. Pressman, Alice R. Hoffmann, Thomas J. Schaefer, Catherine Avins, Andrew L. Choquet, Hélène |
author_facet | Meyers, Travis J. Yin, Jie Herrera, Victor A. Pressman, Alice R. Hoffmann, Thomas J. Schaefer, Catherine Avins, Andrew L. Choquet, Hélène |
author_sort | Meyers, Travis J. |
collection | PubMed |
description | Genome-wide association studies (GWASs) have identified more than 130 genetic susceptibility loci for migraine; however, how most of these loci impact migraine development is unknown. To identify novel genes associated with migraine and interpret the transcriptional products of those genes, we conducted a transcriptome-wide association study (TWAS). We performed tissue-specific and multi-tissue TWAS analyses to assess associations between imputed gene expression from 53 tissues and migraine susceptibility using FUSION software. Meta-analyzed GWAS summary statistics from 26,052 migraine cases and 487,214 controls, all of European ancestry and from two cohorts (the Kaiser Permanente GERA and the UK Biobank), were used. We evaluated the associations for genes after conditioning on variant-level effects from GWAS, and we tested for colocalization of GWAS migraine-associated loci and expression quantitative trait loci (eQTLs). Across tissue-specific and multi-tissue analyses, we identified 53 genes for which genetically predicted gene expression was associated with migraine after correcting for multiple testing. Of these 53 genes, 10 (ATF5, CNTNAP1, KTN1-AS1, NEIL1, NEK4, NNT, PNKP, RUFY2, TUBG2, and VAT1) did not overlap known migraine-associated loci identified from GWAS. Tissue-specific analysis identified 45 gene-tissue pairs and cardiovascular tissues represented the highest proportion of the Bonferroni-significant gene-tissue pairs (n = 22 [49%]), followed by brain tissues (n = 6 [13%]), and gastrointestinal tissues (n = 4 [9%]). Colocalization analyses provided evidence of shared genetic variants underlying eQTL and GWAS signals in 18 of the gene-tissue pairs (40%). Our TWAS reports novel genes for migraine and highlights the important contribution of brain, cardiovascular, and gastrointestinal tissues in migraine susceptibility. |
format | Online Article Text |
id | pubmed-10319829 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-103198292023-07-06 Transcriptome-wide association study identifies novel candidate susceptibility genes for migraine Meyers, Travis J. Yin, Jie Herrera, Victor A. Pressman, Alice R. Hoffmann, Thomas J. Schaefer, Catherine Avins, Andrew L. Choquet, Hélène HGG Adv Article Genome-wide association studies (GWASs) have identified more than 130 genetic susceptibility loci for migraine; however, how most of these loci impact migraine development is unknown. To identify novel genes associated with migraine and interpret the transcriptional products of those genes, we conducted a transcriptome-wide association study (TWAS). We performed tissue-specific and multi-tissue TWAS analyses to assess associations between imputed gene expression from 53 tissues and migraine susceptibility using FUSION software. Meta-analyzed GWAS summary statistics from 26,052 migraine cases and 487,214 controls, all of European ancestry and from two cohorts (the Kaiser Permanente GERA and the UK Biobank), were used. We evaluated the associations for genes after conditioning on variant-level effects from GWAS, and we tested for colocalization of GWAS migraine-associated loci and expression quantitative trait loci (eQTLs). Across tissue-specific and multi-tissue analyses, we identified 53 genes for which genetically predicted gene expression was associated with migraine after correcting for multiple testing. Of these 53 genes, 10 (ATF5, CNTNAP1, KTN1-AS1, NEIL1, NEK4, NNT, PNKP, RUFY2, TUBG2, and VAT1) did not overlap known migraine-associated loci identified from GWAS. Tissue-specific analysis identified 45 gene-tissue pairs and cardiovascular tissues represented the highest proportion of the Bonferroni-significant gene-tissue pairs (n = 22 [49%]), followed by brain tissues (n = 6 [13%]), and gastrointestinal tissues (n = 4 [9%]). Colocalization analyses provided evidence of shared genetic variants underlying eQTL and GWAS signals in 18 of the gene-tissue pairs (40%). Our TWAS reports novel genes for migraine and highlights the important contribution of brain, cardiovascular, and gastrointestinal tissues in migraine susceptibility. Elsevier 2023-06-09 /pmc/articles/PMC10319829/ /pubmed/37415806 http://dx.doi.org/10.1016/j.xhgg.2023.100211 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Meyers, Travis J. Yin, Jie Herrera, Victor A. Pressman, Alice R. Hoffmann, Thomas J. Schaefer, Catherine Avins, Andrew L. Choquet, Hélène Transcriptome-wide association study identifies novel candidate susceptibility genes for migraine |
title | Transcriptome-wide association study identifies novel candidate susceptibility genes for migraine |
title_full | Transcriptome-wide association study identifies novel candidate susceptibility genes for migraine |
title_fullStr | Transcriptome-wide association study identifies novel candidate susceptibility genes for migraine |
title_full_unstemmed | Transcriptome-wide association study identifies novel candidate susceptibility genes for migraine |
title_short | Transcriptome-wide association study identifies novel candidate susceptibility genes for migraine |
title_sort | transcriptome-wide association study identifies novel candidate susceptibility genes for migraine |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10319829/ https://www.ncbi.nlm.nih.gov/pubmed/37415806 http://dx.doi.org/10.1016/j.xhgg.2023.100211 |
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