Integration of GWAS Summary Statistics and Gene Expression Reveals Target Cell Types Underlying Kidney Function Traits

BACKGROUND: Genetic variants identified in genome-wide association studies (GWAS) are often not specific enough to reveal complex underlying physiology. By integrating RNA-seq data and GWAS summary statistics, novel computational methods allow unbiased identification of trait-relevant tissues and ce...

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Detalhes bibliográficos
Publicado no:J Am Soc Nephrol
Main Authors: Li, Yong, Haug, Stefan, Schlosser, Pascal, Teumer, Alexander, Tin, Adrienne, Pattaro, Cristian, Köttgen, Anna, Wuttke, Matthias
Formato: Artigo
Idioma:Inglês
Publicado em: American Society of Nephrology 2020
Assuntos:
Basic Research
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7609008/
https://ncbi.nlm.nih.gov/pubmed/32764137
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1681/ASN.2020010051
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