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A geographically matched control population efficiently limits the number of candidate disease-causi...

A geographically matched control population efficiently limits the number of candidate disease-causi...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2199318309

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

About this item

Full title

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

Publisher

United States: Public Library of Science

Journal title

PloS one, 2019-03, Vol.14 (3), p.e0213350-e0213350

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

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 damaging variants, e.g. those found in coding regions...

Alternative Titles

Full title

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

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2199318309

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2199318309

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0213350