PMC:4129400 / 4885-6437 JSONTXT

{"project":"2_test","denotations":[{"id":"25087611-18464913-2046308","span":{"begin":238,"end":240},"obj":"18464913"},{"id":"25087611-22595970-2046309","span":{"begin":450,"end":452},"obj":"22595970"},{"id":"25087611-23676674-2046310","span":{"begin":688,"end":690},"obj":"23676674"},{"id":"25087611-20179311-2046310","span":{"begin":688,"end":690},"obj":"20179311"},{"id":"25087611-23487758-2046310","span":{"begin":688,"end":690},"obj":"23487758"},{"id":"25087611-20101245-2046311","span":{"begin":777,"end":779},"obj":"20101245"}],"text":"The first such large-scale protein-omic study in humans quantified 42 proteins from blood fractions of individuals from the inCHIANTI study using 20 commercially available protein analysis assays with varying sensitivities and precisions.12 Eight cis and one trans pQTL were identified. More recently, an aptamer-based approach was used to quantify proteins in human plasma, resulting in the identification of cis-linked associations for 60 proteins.18 2D gels and mass spectrometry were used to quantify hundreds of the most highly abundant proteins across HapMap cell lines and the Northern Sweden Population Health Study cohort to identify cis but not trans genetic associations.14,19,20 In this report, we developed a standardized protocol using micro-western arrays (MWAs)21 and reverse phase protein arrays (RPPAs) to quantify 441 proteins across 68 unrelated Yoruba (YRI) lymphoblastoid cell lines (LCLs) with a panel of antibodies directed at nearly all human transcription factors (TFs) and many disease-related cell-signaling proteins. We then identified pQTLs and compared the genetic architecture underlying mRNA and protein level variation. Our study systematically examined the relationships between pQTLs and eQTLs, replicated the initial discoveries of pQTL associations, and for the first time functionally validated a trans pQTL. Our results indicate that novel mechanisms underlying complex disease risk loci are likely to be revealed through further systems-level protein-omic analyses of cells and tissues across human populations."}