Using familial information for variant filtering in high-throughput sequencing studies
Details
Publication Year 2014-08-17,Volume 133,Issue #11,Page 1331-41
Journal Title
Human Genetics
Publication Type
Journal Article
Abstract
High-throughput sequencing studies (HTS) have been highly successful in identifying the genetic causes of human disease, particularly those following Mendelian inheritance. Many HTS studies to date have been performed without utilizing available family relationships between samples. Here, we discuss the many merits and occasional pitfalls of using identity by descent information in conjunction with HTS studies. These methods are not only applicable to family studies but are also useful in cohorts of apparently unrelated, 'sporadic' cases and small families underpowered for linkage and allow inference of relationships between individuals. Incorporating familial/pedigree information not only provides powerful filtering options for the extensive variant lists that are usually produced by HTS but also allows valuable quality control checks, insights into the genetic model and the genotypic status of individuals of interest. In particular, these methods are valuable for challenging discovery scenarios in HTS analysis, such as in the study of populations poorly represented in variant databases typically used for filtering, and in the case of poor-quality HTS data.
Publisher
Springer
Research Division(s)
Bioinformatics
NHMRC Grants
NHMRC/490037
Terms of Use/Rights Notice
© Springer, Part of Springer Science+Business Media Open AccessThis article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.


Creation Date: 2014-09-12 02:01:39
Last Modified: 2014-11-28 09:24:31
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