Large-scale data analysis on endometriosis from the UK Biobank reveals novel genetic loci
Endometriosis is a common complex condition with an estimated heritability of 50%. The largest meta-analysis of genome-wide association studies (GWAS) for endometriosis to date, including 17K cases, identified 14 genome-wide significant loci (p<5x10-8) together explaining only 5% of the herit...
| Main Authors: | , , , , |
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| Format: | Conference item |
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SAGE Publications
2018
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| _version_ | 1797093665004322816 |
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| author | Rahmioglu, N Cook, J Becker, C Morris, A Zondervan, K |
| author_facet | Rahmioglu, N Cook, J Becker, C Morris, A Zondervan, K |
| author_sort | Rahmioglu, N |
| collection | OXFORD |
| description | Endometriosis is a common complex condition with an estimated heritability of 50%. The largest meta-analysis of genome-wide association studies (GWAS) for endometriosis to date, including 17K cases, identified 14 genome-wide significant loci (p<5x10-8) together explaining only 5% of the heritability. In ongoing analyses we are substantially increasing sample size by including novel datasets such as the UK Biobank. The UK Biobank involves medical records and self-reported questionnaire data on 500,000 volunteer participants, for which the full genotype data, imputed up to the HRC reference panel, has been recently released. |
| first_indexed | 2024-03-07T04:03:34Z |
| format | Conference item |
| id | oxford-uuid:c566a3d6-b0c3-42ae-a16e-0b4705a104fe |
| institution | University of Oxford |
| last_indexed | 2024-03-07T04:03:34Z |
| publishDate | 2018 |
| publisher | SAGE Publications |
| record_format | dspace |
| spelling | oxford-uuid:c566a3d6-b0c3-42ae-a16e-0b4705a104fe2022-03-27T06:30:32ZLarge-scale data analysis on endometriosis from the UK Biobank reveals novel genetic lociConference itemhttp://purl.org/coar/resource_type/c_5794uuid:c566a3d6-b0c3-42ae-a16e-0b4705a104feSymplectic Elements at OxfordSAGE Publications2018Rahmioglu, NCook, JBecker, CMorris, AZondervan, KEndometriosis is a common complex condition with an estimated heritability of 50%. The largest meta-analysis of genome-wide association studies (GWAS) for endometriosis to date, including 17K cases, identified 14 genome-wide significant loci (p<5x10-8) together explaining only 5% of the heritability. In ongoing analyses we are substantially increasing sample size by including novel datasets such as the UK Biobank. The UK Biobank involves medical records and self-reported questionnaire data on 500,000 volunteer participants, for which the full genotype data, imputed up to the HRC reference panel, has been recently released. |
| spellingShingle | Rahmioglu, N Cook, J Becker, C Morris, A Zondervan, K Large-scale data analysis on endometriosis from the UK Biobank reveals novel genetic loci |
| title | Large-scale data analysis on endometriosis from the UK Biobank reveals novel genetic loci |
| title_full | Large-scale data analysis on endometriosis from the UK Biobank reveals novel genetic loci |
| title_fullStr | Large-scale data analysis on endometriosis from the UK Biobank reveals novel genetic loci |
| title_full_unstemmed | Large-scale data analysis on endometriosis from the UK Biobank reveals novel genetic loci |
| title_short | Large-scale data analysis on endometriosis from the UK Biobank reveals novel genetic loci |
| title_sort | large scale data analysis on endometriosis from the uk biobank reveals novel genetic loci |
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