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A log-ratio biplot approach for exploring genetic relatedness based on identity by state

Author
Graffelman, J.; Galván, I.; de Cid, R.; Barceló, C.
Type of activity
Journal article
Journal
Frontiers in genetics
Date of publication
2019-04-24
Volume
10
First page
341-1
Last page
341-16
DOI
10.3389/fgene.2019.00341
Repository
http://hdl.handle.net/2117/134340 Open in new window
URL
https://www.frontiersin.org/articles/10.3389/fgene.2019.00341/full Open in new window
Abstract
The detection of cryptic relatedness in large population-based cohorts is of great importance in genome research. The usual approach for detecting closely related individuals is to plot allele sharing statistics, based on identity-by-state or identity-by-descent, in a two-dimensional scatterplot. This approach ignores that allele sharing data across individuals has in reality a higher dimensionality, and neither regards the compositional nature of the underlying counts of shared genotypes. In th...
Citation
Graffelman, J. [et al.]. A log-ratio biplot approach for exploring genetic relatedness based on identity by state. "Frontiers in Genetics", 24 Abril 2019, vol. 10, p.341-1/341-16
Keywords
Allele sharing, Composition, Identity by descent, Identity by state, Log-ratio transformation
Group of research
COSDA-UPC - COmpositional and Spatial Data Analysis

Participants

  • Graffelman, Jan  (author)
  • Galván Femenía, Iván  (author)
  • de Cid, Rafael  (author)
  • Barceló Vidal, Carles  (author)

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