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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.
Afiliación
  • Meyers TJ; Division of Research, Kaiser Permanente Northern California, Oakland, CA 94612, USA.
  • Yin J; Division of Research, Kaiser Permanente Northern California, Oakland, CA 94612, USA.
  • Herrera VA; Division of Research, Kaiser Permanente Northern California, Oakland, CA 94612, USA.
  • Pressman AR; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA 94158, USA.
  • Hoffmann TJ; Sutter Health, San Francisco, CA 94107, USA.
  • Schaefer C; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA 94158, USA.
  • Avins AL; Institute for Human Genetics, University of California, San Francisco, San Francisco, CA 94143, USA.
  • Choquet H; Division of Research, Kaiser Permanente Northern California, Oakland, CA 94612, USA.
HGG Adv ; 4(3): 100211, 2023 Jul 13.
Article en En | MEDLINE | ID: mdl-37415806
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.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: ADN Glicosilasas / Trastornos Migrañosos Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: HGG Adv Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Base de datos: MEDLINE Asunto principal: ADN Glicosilasas / Trastornos Migrañosos Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: HGG Adv Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos