- Abstract:
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Human genome resequencing technologies are becoming ever more affordable and provide a valuable source of data about rare genetic variants in the human genome. Such rare variation may play an important role in explaining the missing heritability of complex human traits. We implement an existing method for analyzing rare variants by testing for association with the mutational load across genes. In this study, we make use of simulated data from the Genetic Analysis Workshop 17 to assess the pow...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Publisher's version
- Files:
-
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(xml, 27.7KB)
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(pdf, 5.2KB)
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- Publisher copy:
- 10.1186/1753-6561-5-s9-s107
-
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- Publisher:
- BioMed Central Ltd. Publisher's website
- Journal:
- BMC Proceedings Journal website
- Volume:
- 5
- Issue:
- Suppl 9
- Pages:
- Article: S107
- Publication date:
- 2011-01-01
- DOI:
- EISSN:
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1753-6561
- ISSN:
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1753-6561
- URN:
-
uuid:ad7e46be-05d0-4ce5-9c6b-b12f6147c639
- Source identifiers:
-
313019
- Local pid:
- pubs:313019
- Language:
- English
- Keywords:
- Subjects:
- Copyright holder:
- Mägi et al.
- Copyright date:
- 2011
- Notes:
- © 2011 Mägi et al; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Journal article
Assessing the impact of missing genotype data in rare variant association analysis.
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