Genotype imputation with thousands of genomes
Duration: 37 mins 8 secs
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| Description: |
Marchini, J (University of Oxford)
Wednesday 14 July 2010, 11:00-11:30 |
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| Created: | 2010-07-15 11:04 | ||||
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| Collection: | Statistical Challenges Arising from Genome Resequencing | ||||
| Publisher: | Isaac Newton Institute | ||||
| Copyright: | Marchini, J | ||||
| Language: | eng (English) | ||||
| Distribution: |
World
(downloadable)
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| Credits: |
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| Explicit content: | No | ||||
| Aspect Ratio: | 16:9 | ||||
| Screencast: | No | ||||
| Bumper: | /sms-ingest/static/1920x1080-16x9-sms-bumper.mp4 | ||||
| Trailer: | /sms-ingest/static/1920x1080-16x9-sms-trailer.mp4 | ||||
| Abstract: | Genotype imputation is now widely used in genome-wide association studies as a way of boosting power, fine-mapping and facilitating meta-analysis. The 1000 Genome Project (1KGP) will produce a large set of haplotypes from a diverse set of populations that could be used as a imputation reference panel. We describe the "surrogate family" phasing idea implemented in IMPUTE v2 and show how this method is ideally suited to imputation using a large diverse panel of haplotypes. IMPUTE v2 can also be used for phasing and we illustrate how this method has advantages when applied to a multi-population dataset such as the 1KGP data. |
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