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Statistical inference for Hardy-Weinberg proportions in the presence of missing genotype information

Author
Graffelman, J.; Sánchez, M.; Cook, S.; Moreno, V.
Type of activity
Journal article
Journal
PloS one
Date of publication
2013-12-31
Volume
8
Number
12
First page
1
Last page
11
DOI
https://doi.org/10.1371/journal.pone.0083316 Open in new window
Repository
http://hdl.handle.net/2117/21263 Open in new window
URL
http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0083316 Open in new window
Abstract
In genetic association studies, tests for Hardy-Weinberg proportions are often employed as a quality control checking procedure. Missing genotypes are typically discarded prior to testing. In this paper we show that inference for Hardy- Weinberg proportions can be biased when missing values are discarded. We propose to use multiple imputation of missing values in order to improve inference for Hardy-Weinberg proportions. For imputation we employ a multinomial logit model that uses information fr...
Citation
Graffelman, J. [et al.]. Statistical inference for Hardy-Weinberg proportions in the presence of missing genotype information. "PLoS One", 31 Desembre 2013, vol. 8, núm. 12, p. 1-11.
Group of research
LIAM - Laboratory of Information Analysis and Modelling

Participants

  • Graffelman, Jan  (author)
  • Sánchez, Milagros  (author)
  • Cook, Samantha  (author)
  • Moreno Aguado, Victor Raul  (author)

Attachments