http://rdf.ncbi.nlm.nih.gov/pubchem/reference/3193828

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contentType Journal Article
issn 1664-8021
pageRange 103-
publicationName Frontiers in Genetics
startingPage 103
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bibliographicCitation Li L, Kabesch M, Bouzigon E, Demenais F, Farrall M, Moffatt MF, Lin X, Liang L. Using eQTL weights to improve power for genome-wide association studies: a genetic study of childhood asthma. Front Genet. 2013;4():103. PMID: 23755072; PMCID: PMC3668139.
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date 2013
identifier https://pubmed.ncbi.nlm.nih.gov/PMC3668139
https://pubmed.ncbi.nlm.nih.gov/23755072
https://doi.org/10.3389/fgene.2013.00103
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language English
source https://www.crossref.org/
https://pubmed.ncbi.nlm.nih.gov/
title Using eQTL weights to improve power for genome-wide association studies: a genetic study of childhood asthma

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