Back to search

Article

Identifying non-identical-by-descent rare variants in population-scale whole genome sequencing data

2020-05-28

Abstract excerpt

The site frequency spectrum in human populations is not accurately modeled by an infinite sites model, which assumes that all mutations are unique. Despite the pervasiveness of recurrent mutations, we lack computational methods to identify these events at specific sites in population sequencing data. Rare alleles that are identical-by-descent (IBD) are expected to segregate on a long, shared haplotype background t...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
c8b293e8-ca3a-5fa9-91e9-ce9ecea685e7
DOI
10.1101/2020.05.26.117358
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Identifying non-identical-by-descent rare variants in population-scale whole genome sequencing dataDOI 10.1101/2020.05.26.117358
Select a neighboring publication to make it the new centre.