Genotype imputation for genome-wide association studies.
In the past few years genome-wide association (GWA) studies have uncovered a large number of convincingly replicated associations for many complex human diseases. Genotype imputation has been used widely in the analysis of GWA studies to boost power, fine-map associations and facilitate the combinat...
| Main Authors: | , |
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| Format: | Journal article |
| Language: | English |
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2010
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| _version_ | 1826289766198411264 |
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| author | Marchini, J Howie, B |
| author_facet | Marchini, J Howie, B |
| author_sort | Marchini, J |
| collection | OXFORD |
| description | In the past few years genome-wide association (GWA) studies have uncovered a large number of convincingly replicated associations for many complex human diseases. Genotype imputation has been used widely in the analysis of GWA studies to boost power, fine-map associations and facilitate the combination of results across studies using meta-analysis. This Review describes the details of several different statistical methods for imputing genotypes, illustrates and discusses the factors that influence imputation performance, and reviews methods that can be used to assess imputation performance and test association at imputed SNPs. |
| first_indexed | 2024-03-07T02:33:53Z |
| format | Journal article |
| id | oxford-uuid:a8270466-4a88-4281-94f1-da7e42dcd197 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T02:33:53Z |
| publishDate | 2010 |
| record_format | dspace |
| spelling | oxford-uuid:a8270466-4a88-4281-94f1-da7e42dcd1972022-03-27T02:59:27ZGenotype imputation for genome-wide association studies.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:a8270466-4a88-4281-94f1-da7e42dcd197EnglishSymplectic Elements at Oxford2010Marchini, JHowie, BIn the past few years genome-wide association (GWA) studies have uncovered a large number of convincingly replicated associations for many complex human diseases. Genotype imputation has been used widely in the analysis of GWA studies to boost power, fine-map associations and facilitate the combination of results across studies using meta-analysis. This Review describes the details of several different statistical methods for imputing genotypes, illustrates and discusses the factors that influence imputation performance, and reviews methods that can be used to assess imputation performance and test association at imputed SNPs. |
| spellingShingle | Marchini, J Howie, B Genotype imputation for genome-wide association studies. |
| title | Genotype imputation for genome-wide association studies. |
| title_full | Genotype imputation for genome-wide association studies. |
| title_fullStr | Genotype imputation for genome-wide association studies. |
| title_full_unstemmed | Genotype imputation for genome-wide association studies. |
| title_short | Genotype imputation for genome-wide association studies. |
| title_sort | genotype imputation for genome wide association studies |
| work_keys_str_mv | AT marchinij genotypeimputationforgenomewideassociationstudies AT howieb genotypeimputationforgenomewideassociationstudies |