A new statistic to evaluate imputation reliability
A new statistic to evaluate imputation reliability
About this item
Full title
Author / Creator
Publisher
United States: Public Library of Science
Journal title
Language
English
Formats
Publication information
Publisher
United States: Public Library of Science
Subjects
More information
Scope and Contents
Contents
As the amount of data from genome wide association studies grows dramatically, many interesting scientific questions require imputation to combine or expand datasets. However, there are two situations for which imputation has been problematic: (1) polymorphisms with low minor allele frequency (MAF), and (2) datasets where subjects are genotyped on...
Alternative Titles
Full title
A new statistic to evaluate imputation reliability
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_plos_journals_1289394910
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_1289394910
Other Identifiers
ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0009697
