ArticleBMC proceedings2016
Prioritization of family member sequencing for the detection of rare variants.
Article in BMC proceedings, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The trial behind it
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Who cites it
1 citing paper in PubMed.
- Family-based approaches: design, imputation, analysis, and beyond.BMC genetics · 2016Article
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Authors and funding
4 authors.
Funding
Abstract
backgroundThe advent of affordable sequencing has enabled researchers to discover many variants contributing to disease, including rare variants. There are methods for determining the most informative individuals for sequencing, but the application of these methods is more complex when working with families. Sets of large families can be beneficial in finding rare variants, but it may be unfeasible to sequence all members of these family sets.
methodsUsing simulated data from the Genetic Analysis Workshop 19, we apply multiple regression to identify cases and controls. To find the best controls for each case, we used kinship coefficients to match within families. Selected cases and controls were analyzed for rare variants, collapsed by gene, associated with hypertension using the family-based rare variant association test (FARVAT).
resultsThe gene with the strongest simulated effect,
conclusionsTaking the additional steps to select the optimal cases and controls from large family data sets can help ensure that only informative individuals are included in analysis and may improve the ability to detect rare variants.
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