Meta-analysis of gene-level tests for rare variant association.
The majority of reported complex disease associations for common genetic variants have been identified through meta-analysis, a powerful approach that enables the use of large sample sizes while protecting against common artifacts due to population structure and repeated small-sample analyses sharin...
| Հիմնական հեղինակներ: | , , , , , , , , , , , , , , , , , , , , |
|---|---|
| Ձևաչափ: | Journal article |
| Լեզու: | English |
| Հրապարակվել է: |
2014
|
| _version_ | 1826295892888518656 |
|---|---|
| author | Liu, D Peloso, G Zhan, X Holmen, O Zawistowski, M Feng, S Nikpay, M Auer, P Goel, A Zhang, H Peters, U Farrall, M Orho-Melander, M Kooperberg, C McPherson, R Watkins, H Willer, C Hveem, K Melander, O Kathiresan, S Abecasis, G |
| author_facet | Liu, D Peloso, G Zhan, X Holmen, O Zawistowski, M Feng, S Nikpay, M Auer, P Goel, A Zhang, H Peters, U Farrall, M Orho-Melander, M Kooperberg, C McPherson, R Watkins, H Willer, C Hveem, K Melander, O Kathiresan, S Abecasis, G |
| author_sort | Liu, D |
| collection | OXFORD |
| description | The majority of reported complex disease associations for common genetic variants have been identified through meta-analysis, a powerful approach that enables the use of large sample sizes while protecting against common artifacts due to population structure and repeated small-sample analyses sharing individual-level data. As the focus of genetic association studies shifts to rare variants, genes and other functional units are becoming the focus of analysis. Here we propose and evaluate new approaches for performing meta-analysis of rare variant association tests, including burden tests, weighted burden tests, variable-threshold tests and tests that allow variants with opposite effects to be grouped together. We show that our approach retains useful features from single-variant meta-analysis approaches and demonstrate its use in a study of blood lipid levels in ∼18,500 individuals genotyped with exome arrays. |
| first_indexed | 2024-03-07T04:07:57Z |
| format | Journal article |
| id | oxford-uuid:c6dbf66c-374e-40d7-958c-26848c0c7f4c |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T04:07:57Z |
| publishDate | 2014 |
| record_format | dspace |
| spelling | oxford-uuid:c6dbf66c-374e-40d7-958c-26848c0c7f4c2022-03-27T06:40:53ZMeta-analysis of gene-level tests for rare variant association.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:c6dbf66c-374e-40d7-958c-26848c0c7f4cEnglishSymplectic Elements at Oxford2014Liu, DPeloso, GZhan, XHolmen, OZawistowski, MFeng, SNikpay, MAuer, PGoel, AZhang, HPeters, UFarrall, MOrho-Melander, MKooperberg, CMcPherson, RWatkins, HWiller, CHveem, KMelander, OKathiresan, SAbecasis, GThe majority of reported complex disease associations for common genetic variants have been identified through meta-analysis, a powerful approach that enables the use of large sample sizes while protecting against common artifacts due to population structure and repeated small-sample analyses sharing individual-level data. As the focus of genetic association studies shifts to rare variants, genes and other functional units are becoming the focus of analysis. Here we propose and evaluate new approaches for performing meta-analysis of rare variant association tests, including burden tests, weighted burden tests, variable-threshold tests and tests that allow variants with opposite effects to be grouped together. We show that our approach retains useful features from single-variant meta-analysis approaches and demonstrate its use in a study of blood lipid levels in ∼18,500 individuals genotyped with exome arrays. |
| spellingShingle | Liu, D Peloso, G Zhan, X Holmen, O Zawistowski, M Feng, S Nikpay, M Auer, P Goel, A Zhang, H Peters, U Farrall, M Orho-Melander, M Kooperberg, C McPherson, R Watkins, H Willer, C Hveem, K Melander, O Kathiresan, S Abecasis, G Meta-analysis of gene-level tests for rare variant association. |
| title | Meta-analysis of gene-level tests for rare variant association. |
| title_full | Meta-analysis of gene-level tests for rare variant association. |
| title_fullStr | Meta-analysis of gene-level tests for rare variant association. |
| title_full_unstemmed | Meta-analysis of gene-level tests for rare variant association. |
| title_short | Meta-analysis of gene-level tests for rare variant association. |
| title_sort | meta analysis of gene level tests for rare variant association |
| work_keys_str_mv | AT liud metaanalysisofgeneleveltestsforrarevariantassociation AT pelosog metaanalysisofgeneleveltestsforrarevariantassociation AT zhanx metaanalysisofgeneleveltestsforrarevariantassociation AT holmeno metaanalysisofgeneleveltestsforrarevariantassociation AT zawistowskim metaanalysisofgeneleveltestsforrarevariantassociation AT fengs metaanalysisofgeneleveltestsforrarevariantassociation AT nikpaym metaanalysisofgeneleveltestsforrarevariantassociation AT auerp metaanalysisofgeneleveltestsforrarevariantassociation AT goela metaanalysisofgeneleveltestsforrarevariantassociation AT zhangh metaanalysisofgeneleveltestsforrarevariantassociation AT petersu metaanalysisofgeneleveltestsforrarevariantassociation AT farrallm metaanalysisofgeneleveltestsforrarevariantassociation AT orhomelanderm metaanalysisofgeneleveltestsforrarevariantassociation AT kooperbergc metaanalysisofgeneleveltestsforrarevariantassociation AT mcphersonr metaanalysisofgeneleveltestsforrarevariantassociation AT watkinsh metaanalysisofgeneleveltestsforrarevariantassociation AT willerc metaanalysisofgeneleveltestsforrarevariantassociation AT hveemk metaanalysisofgeneleveltestsforrarevariantassociation AT melandero metaanalysisofgeneleveltestsforrarevariantassociation AT kathiresans metaanalysisofgeneleveltestsforrarevariantassociation AT abecasisg metaanalysisofgeneleveltestsforrarevariantassociation |