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Protein quantitative trait loci identify novel candidates modulating cellular response to chemotherapy.
Stark, Amy L; Hause, Ronald J; Gorsic, Lidija K; Antao, Nirav N; Wong, Shan S; Chung, Sophie H; Gill, Daniel F; Im, Hae K; Myers, Jamie L; White, Kevin P; Jones, Richard Baker; Dolan, M Eileen.
Afiliación
  • Stark AL; Department of Medicine, The University of Chicago, Chicago, Illinois, United States of America.
  • Hause RJ; Committee on Genetics, Genomics and Systems Biology, The University of Chicago, Chicago, Illinois, United States of America; Ben May Department for Cancer Research, The University of Chicago, Chicago, Illinois, United States of America; Institute for Genomics and Systems Biology, The University of C
  • Gorsic LK; Department of Medicine, The University of Chicago, Chicago, Illinois, United States of America.
  • Antao NN; Department of Medicine, The University of Chicago, Chicago, Illinois, United States of America.
  • Wong SS; Department of Medicine, The University of Chicago, Chicago, Illinois, United States of America.
  • Chung SH; Committee on Genetics, Genomics and Systems Biology, The University of Chicago, Chicago, Illinois, United States of America.
  • Gill DF; Committee on Genetics, Genomics and Systems Biology, The University of Chicago, Chicago, Illinois, United States of America.
  • Im HK; Department of Health Studies, The University of Chicago, Chicago, Illinois, United States of America.
  • Myers JL; Department of Medicine, The University of Chicago, Chicago, Illinois, United States of America.
  • White KP; Committee on Genetics, Genomics and Systems Biology, The University of Chicago, Chicago, Illinois, United States of America; Institute for Genomics and Systems Biology, The University of Chicago, Chicago, Illinois, United States of America; Department of Human Genetics, The University of Chicago, Ch
  • Jones RB; Committee on Genetics, Genomics and Systems Biology, The University of Chicago, Chicago, Illinois, United States of America; Ben May Department for Cancer Research, The University of Chicago, Chicago, Illinois, United States of America; Institute for Genomics and Systems Biology, The University of C
  • Dolan ME; Department of Medicine, The University of Chicago, Chicago, Illinois, United States of America; Committee on Genetics, Genomics and Systems Biology, The University of Chicago, Chicago, Illinois, United States of America; Committee on Clinical Pharmacology and Pharmacogenomics, The University of Chic
PLoS Genet ; 10(4): e1004192, 2014 Apr.
Article en En | MEDLINE | ID: mdl-24699359
ABSTRACT
Annotating and interpreting the results of genome-wide association studies (GWAS) remains challenging. Assigning function to genetic variants as expression quantitative trait loci is an expanding and useful approach, but focuses exclusively on mRNA rather than protein levels. Many variants remain without annotation. To address this problem, we measured the steady state abundance of 441 human signaling and transcription factor proteins from 68 Yoruba HapMap lymphoblastoid cell lines to identify novel relationships between inter-individual protein levels, genetic variants, and sensitivity to chemotherapeutic agents. Proteins were measured using micro-western and reverse phase protein arrays from three independent cell line thaws to permit mixed effect modeling of protein biological replicates. We observed enrichment of protein quantitative trait loci (pQTLs) for cellular sensitivity to two commonly used chemotherapeutics cisplatin and paclitaxel. We functionally validated the target protein of a genome-wide significant trans-pQTL for its relevance in paclitaxel-induced apoptosis. GWAS overlap results of drug-induced apoptosis and cytotoxicity for paclitaxel and cisplatin revealed unique SNPs associated with the pharmacologic traits (at p<0.001). Interestingly, GWAS SNPs from various regions of the genome implicated the same target protein (p<0.0001) that correlated with drug induced cytotoxicity or apoptosis (p ≤ 0.05). Two genes were functionally validated for association with drug response using siRNA SMC1A with cisplatin response and ZNF569 with paclitaxel response. This work allows pharmacogenomic discovery to progress from the transcriptome to the proteome and offers potential for identification of new therapeutic targets. This approach, linking targeted proteomic data to variation in pharmacologic response, can be generalized to other studies evaluating genotype-phenotype relationships and provide insight into chemotherapeutic mechanisms.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proteínas / Polimorfismo de Nucleótido Simple / Sitios de Carácter Cuantitativo / Antineoplásicos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: PLoS Genet Asunto de la revista: GENETICA Año: 2014 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proteínas / Polimorfismo de Nucleótido Simple / Sitios de Carácter Cuantitativo / Antineoplásicos Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: PLoS Genet Asunto de la revista: GENETICA Año: 2014 Tipo del documento: Article País de afiliación: Estados Unidos