A geographically matched control population efficiently limits the number of candidate disease-causing variants in an unbiased whole-genome analysis.

A geographically matched control population efficiently limits the number of candidate disease-causing variants in an unbiased whole-genome analysis.

Whole-genome sequencing is a promising approach for human autosomal dominant disease studies. However, the vast number of genetic variants observed by this method constitutes a challenge when trying to identify the causal variants. This is often handled by restricting disease studies to the most dam...

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Bibliographic Details
Main Authors: Matilda Rentoft, Daniel Svensson, Andreas Sjödin, Pall I Olason, Olle Sjöström, Carin Nylander, Pia Osterman, Rickard Sjögren, Sergiu Netotea, Carl Wibom, Kristina Cederquist, Andrei Chabes, Johan Trygg, Beatrice S Melin, Erik Johansson
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2019-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0213350

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https://doi.org/10.1371/journal.pone.0213350

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