A new statistic to evaluate imputation reliability.

A new statistic to evaluate imputation reliability.

<h4>Background</h4>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 lo...

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Bibliographic Details
Main Authors: Peng Lin, Sarah M Hartz, Zhehao Zhang, Scott F Saccone, Jia Wang, Jay A Tischfield, Howard J Edenberg, John R Kramer, Alison M Goate, Laura J Bierut, John P Rice, COGA Collaborators COGEND Collaborators, GENEVA
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2010-03-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/20300623/?tool=EBI

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/20300623/?tool=EBI

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