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Article . 2015
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Article . 2015
License: CC 0
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Accounting For Population Structure And Relatedness In Gene Expression Genome-Wide Association Testing Using A Mixed-Model Approach

Authors: sprotocols;

Accounting For Population Structure And Relatedness In Gene Expression Genome-Wide Association Testing Using A Mixed-Model Approach

Abstract

Studies of the genetics of gene expression reveal expression SNPs (eSNP) that explain variation in transcript abundance. Here we report a step-by-step protocol of a whole genome gene expression association mapping procedure using JMP Genomics (SAS Institute, Cary, NC) as described in ref. 1. The method accounts for population structure, ethnicity, relatedness and other variables and was applied on a sample of 194 individuals from a city and two villages in southern Morocco representing two ethnicities and a wide range of family relationships.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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