Using an atlas of gene regulation across 44 human tissues to inform complex disease- and trait-associated variation
We apply integrative approaches to expression quantitative loci (eQTLs) from 44 tissues from the Genotype-Tissue Expression project and genome-wide association study data. About 60% of known trait-associated loci are in linkage disequilibrium with a cis-eQTL, over half of which were not found in pre...
| Päätekijät: | , , , , , , , , , , , , , , , , , , , |
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| Aineistotyyppi: | Journal article |
| Kieli: | English |
| Julkaistu: |
Nature Publishing Group
2018
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| _version_ | 1826274542900740096 |
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| author | Gamazon, E Segrè, A van de Bunt, M Wen, X Xi, H Hormozdiari, F Ongen, H Konkashbaev, A Derks, E Aguet, F Quan, J GTEx Consortium Nicolae, D Eskin, E Kellis, M Getz, G McCarthy, M Dermitzakis, E Cox, N Ardlie, K |
| author_facet | Gamazon, E Segrè, A van de Bunt, M Wen, X Xi, H Hormozdiari, F Ongen, H Konkashbaev, A Derks, E Aguet, F Quan, J GTEx Consortium Nicolae, D Eskin, E Kellis, M Getz, G McCarthy, M Dermitzakis, E Cox, N Ardlie, K |
| author_sort | Gamazon, E |
| collection | OXFORD |
| description | We apply integrative approaches to expression quantitative loci (eQTLs) from 44 tissues from the Genotype-Tissue Expression project and genome-wide association study data. About 60% of known trait-associated loci are in linkage disequilibrium with a cis-eQTL, over half of which were not found in previous large-scale whole blood studies. Applying polygenic analyses to metabolic, cardiovascular, anthropometric, autoimmune, and neurodegenerative traits, we find that eQTLs are significantly enriched for trait associations in relevant pathogenic tissues and explain a substantial proportion of the heritability (40–80%). For most traits, tissue-shared eQTLs underlie a greater proportion of trait associations, although tissue-specific eQTLs have a greater contribution to some traits, such as blood pressure. By integrating information from biological pathways with eQTL target genes and applying a gene-based approach, we validate previously implicated causal genes and pathways, and propose new variant and gene associations for several complex traits, which we replicate in the UK BioBank and BioVU. |
| first_indexed | 2024-03-06T22:45:01Z |
| format | Journal article |
| id | oxford-uuid:5cddb69b-0383-49aa-854a-9ad6f4f01c90 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-06T22:45:01Z |
| publishDate | 2018 |
| publisher | Nature Publishing Group |
| record_format | dspace |
| spelling | oxford-uuid:5cddb69b-0383-49aa-854a-9ad6f4f01c902022-03-26T17:30:58ZUsing an atlas of gene regulation across 44 human tissues to inform complex disease- and trait-associated variationJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:5cddb69b-0383-49aa-854a-9ad6f4f01c90EnglishSymplectic Elements at OxfordNature Publishing Group2018Gamazon, ESegrè, Avan de Bunt, MWen, XXi, HHormozdiari, FOngen, HKonkashbaev, ADerks, EAguet, FQuan, JGTEx ConsortiumNicolae, DEskin, EKellis, MGetz, GMcCarthy, MDermitzakis, ECox, NArdlie, KWe apply integrative approaches to expression quantitative loci (eQTLs) from 44 tissues from the Genotype-Tissue Expression project and genome-wide association study data. About 60% of known trait-associated loci are in linkage disequilibrium with a cis-eQTL, over half of which were not found in previous large-scale whole blood studies. Applying polygenic analyses to metabolic, cardiovascular, anthropometric, autoimmune, and neurodegenerative traits, we find that eQTLs are significantly enriched for trait associations in relevant pathogenic tissues and explain a substantial proportion of the heritability (40–80%). For most traits, tissue-shared eQTLs underlie a greater proportion of trait associations, although tissue-specific eQTLs have a greater contribution to some traits, such as blood pressure. By integrating information from biological pathways with eQTL target genes and applying a gene-based approach, we validate previously implicated causal genes and pathways, and propose new variant and gene associations for several complex traits, which we replicate in the UK BioBank and BioVU. |
| spellingShingle | Gamazon, E Segrè, A van de Bunt, M Wen, X Xi, H Hormozdiari, F Ongen, H Konkashbaev, A Derks, E Aguet, F Quan, J GTEx Consortium Nicolae, D Eskin, E Kellis, M Getz, G McCarthy, M Dermitzakis, E Cox, N Ardlie, K Using an atlas of gene regulation across 44 human tissues to inform complex disease- and trait-associated variation |
| title | Using an atlas of gene regulation across 44 human tissues to inform complex disease- and trait-associated variation |
| title_full | Using an atlas of gene regulation across 44 human tissues to inform complex disease- and trait-associated variation |
| title_fullStr | Using an atlas of gene regulation across 44 human tissues to inform complex disease- and trait-associated variation |
| title_full_unstemmed | Using an atlas of gene regulation across 44 human tissues to inform complex disease- and trait-associated variation |
| title_short | Using an atlas of gene regulation across 44 human tissues to inform complex disease- and trait-associated variation |
| title_sort | using an atlas of gene regulation across 44 human tissues to inform complex disease and trait associated variation |
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