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Application of expression quantitative trait loci analysis in pharmacogenomics
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Zhang-ren CHEN1, 2, 3, 4, Fa-zhong HE1, 2, 3, 4, Mou-ze LIU1, 2, 3, 4, Hong-hao ZHOU1, 2, 3, 4, Wei ZHANG1, 2, 3, 4, *
Acta Pharmaceutica Sinica | 2017, 52(8) : 1203 - 1208
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Acta Pharmaceutica Sinica | 2017, 52(8): 1203-1208
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Application of expression quantitative trait loci analysis in pharmacogenomics
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Zhang-ren CHEN1, 2, 3, 4, Fa-zhong HE1, 2, 3, 4, Mou-ze LIU1, 2, 3, 4, Hong-hao ZHOU1, 2, 3, 4, Wei ZHANG1, 2, 3, 4, *
Affiliations
  • 1. Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410008, China
  • 2. Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, Changsha 410078, China
  • 3. Collaborative Innovation Center for Genetics and Development, Fudan University, Shanghai 200433, China
  • 4. Hunan Province Cooperative Innovation Center for Molecular Target New Drug Study, Hengyang 421001, China
Published: 2017-08-12 doi: 10.16438/j.0513-4870.2017-0037
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In the era of genome-wide association study (GWAS), a large number of drug response-related loci have been identified in the non-coding sequences. The interpretation of these loci in mechanism is concerned with the effects on the mRNA expression level of these genes. Expression quantitative trait loci (eQTL) studies indicate the relationship of genome variants and the level of mRNA. Its elucidation of the relationship between genetic variation and gene expression, gene interaction and gene regulatory network provides an efficacious mean for pharmacogenomics. The effects of gene polymorphism on drug responses have been unraveled thoroughly in studies which combined pharmacogenomics with eQTL and GWAS.

expression quantitative trait loci  /  pharmacogenomics  /  single nucleotide polymorphism  /  transcriptional level
Zhang-ren CHEN, Fa-zhong HE, Mou-ze LIU, Hong-hao ZHOU, Wei ZHANG. Application of expression quantitative trait loci analysis in pharmacogenomics[J]. Acta Pharmaceutica Sinica, 2017 , 52 (8) : 1203 -1208 . DOI: 10.16438/j.0513-4870.2017-0037
Year 2017 volume 52 Issue 8
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Article Info
doi: 10.16438/j.0513-4870.2017-0037
  • Receive Date:2017-01-08
  • Online Date:2026-01-14
  • Published:2017-08-12
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History
  • Received:2017-01-08
  • Revised:2017-03-13
Funding
Affiliations
    1. Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha 410008, China
    2. Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, Changsha 410078, China
    3. Collaborative Innovation Center for Genetics and Development, Fudan University, Shanghai 200433, China
    4. Hunan Province Cooperative Innovation Center for Molecular Target New Drug Study, Hengyang 421001, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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