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SNP databases and pharmacogenetics: Great start, but a long way to go
被引:45
作者:
Marsh, S
Kwok, P
McLeod, HL
[1
]
机构:
[1] Washington Univ, Sch Med, Dept Med, St Louis, MO 63110 USA
[2] Washington Univ, Sch Med, Dept Genet, St Louis, MO 63110 USA
[3] Washington Univ, Sch Med, Dept Mol Biol & Pharmacol, St Louis, MO 63110 USA
[4] Siteman Canc Ctr, St Louis, MO USA
[5] CREATE Pharmacogenet Res Network, St Louis, MO USA
关键词:
SNP;
pharmacogenetics;
pharmacogenomics;
bioinformatics;
database;
genomics;
D O I:
10.1002/humu.10115
中图分类号:
Q3 [遗传学];
学科分类号:
071007 ;
090102 ;
摘要:
With the recent publication of the human genome project there has been an explosion of data available for pharmacogenetic research. Web based databases containing information on single nucleotide polymorphisms (SNPs) are readily accessible to researchers, but there has been little comment on their utility. We used seven major international databases to identify SNPs in 74 genes involved in drug pathways. Very little overlap was seen among the databases, with only eight out of a putative 893 SNPs (similar to1%) common to the most commonly used databases. Problems with false positives, secondary to a high degree of homology in gene families, were also observed. These studies suggest researchers limiting their studies to one database would miss a great deal of information. Effort to update compilation databases, such as HGVbase, GeneSNP, PharmGKB, and HOWDY, and the aggressive removal of false positives from all databases is required if these resources are to facilitate the intended growth in pharmacogenetics research.
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页码:174 / 179
页数:6
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