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2
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Curr Mol Med. 2014;14(7):833-40. doi: 10.2174/1566524014666140811113946.
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The current state of cell contamination and authentication-and what it means for biobanks.细胞污染与鉴定的现状——以及这对生物样本库意味着什么。
Biopreserv Biobank. 2012 Jun;10(3):236-8. doi: 10.1089/bio.2012.1039.
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DNA mismatch repair MSH2 gene-based SNP associated with different populations.基于 DNA 错配修复 MSH2 基因的单核苷酸多态性与不同人群相关。
Mol Genet Genomics. 2014 Jun;289(3):469-87. doi: 10.1007/s00438-014-0826-4. Epub 2014 Feb 22.
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Discovery of genetic biomarkers contributing to variation in drug response of cytidine analogues using human lymphoblastoid cell lines.利用人类淋巴母细胞系发现影响胞苷类似物药物反应差异的遗传生物标志物。
BMC Genomics. 2014 Feb 1;15:93. doi: 10.1186/1471-2164-15-93.
6
Genome-wide association and pharmacological profiling of 29 anticancer agents using lymphoblastoid cell lines.利用淋巴母细胞系对29种抗癌药物进行全基因组关联分析和药理学分析。
Pharmacogenomics. 2014 Feb;15(2):137-46. doi: 10.2217/pgs.13.213.
7
Genetic variants in ARID5B and CEBPE are childhood ALL susceptibility loci in Hispanics.ARID5B 和 CEBPE 中的遗传变异是西班牙裔儿童 ALL 易感性的位点。
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8
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9
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通过体外药物反应和多变量全基因组关联评估混合在癌症治疗中的作用。

Evaluating the role of admixture in cancer therapy via in vitro drug response and multivariate genome-wide associations.

作者信息

Jack John, Havener Tammy M, McLeod Howard L, Motsinger-Reif Alison A, Foster Matthew

机构信息

Department of Statistics, North Carolina State University, 2601 Stinson Drive, Raleigh, NC 27695, USA.

Bioinformatics Research Center, North Carolina State University, 2601 Stinson Drive, Raleigh, NC 27695, USA.

出版信息

Pharmacogenomics. 2015;16(13):1451-63. doi: 10.2217/PGS.15.85. Epub 2015 Aug 28.

DOI:10.2217/PGS.15.85
PMID:26314407
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5810848/
Abstract

AIM

We investigate the role of ethnicity and admixture in drug response across a broad group of chemotherapeutic drugs. Also, we generate hypotheses on the genetic variants driving differential drug response through multivariate genome-wide association studies.

METHODS

Immortalized lymphoblastoid cell lines from 589 individuals (Hispanic or non-Hispanic/Caucasian) were used to investigate dose-response for 28 chemotherapeutic compounds. Univariate and multivariate statistical models were used to elucidate associations between genetic variants and differential drug response as well as the role of ethnicity in drug potency and efficacy.

RESULTS & CONCLUSION: For many drugs, the variability in drug response appears to correlate with self-reported race and estimates of genetic ancestry. Additionally, multivariate genome-wide association analyses offered interesting hypotheses governing these differential responses.

摘要

目的

我们研究种族和基因混合在广泛的化疗药物反应中的作用。此外，我们通过多变量全基因组关联研究，对驱动药物反应差异的基因变异提出假设。

方法

使用来自589名个体（西班牙裔或非西班牙裔/白种人）的永生化淋巴母细胞系，研究28种化疗化合物的剂量反应。使用单变量和多变量统计模型来阐明基因变异与药物反应差异之间的关联，以及种族在药物效力和疗效中的作用。

结果与结论

对于许多药物，药物反应的变异性似乎与自我报告的种族和遗传血统估计相关。此外，多变量全基因组关联分析提供了关于这些差异反应的有趣假设。