Unknown

Dataset Information

Identification and validation of genetic variants that influence transcription factor and cell signaling protein levels.


ABSTRACT: Many genetic variants associated with human disease have been found to be associated with alterations in mRNA expression. Although it is commonly assumed that mRNA expression changes will lead to consequent changes in protein levels, methodological challenges have limited our ability to test the degree to which this assumption holds true. Here, we further developed the micro-western array approach and globally examined relationships between human genetic variation and cellular protein levels. We collected more than 250,000 protein level measurements comprising 441 transcription factor and signaling protein isoforms across 68 Yoruba (YRI) HapMap lymphoblastoid cell lines (LCLs) and identified 12 cis and 160 trans protein level QTLs (pQTLs) at a false discovery rate (FDR) of 20%. Whereas up

SUBMITTER: Hause RJ 

PROVIDER: S-EPMC4129400 | biostudies-literature | 2014 Aug

REPOSITORIES: biostudies-literature