TY - JOUR
T1 - SNPselector
T2 - A web tool for selecting SNPs for genetic association studies
AU - Xu, Hong
AU - Gregory, Simon G.
AU - Hauser, Elizabeth R.
AU - Stenger, Judith E.
AU - Pericak-Vance, Margaret A.
AU - Vance, Jeffery M.
AU - Züchner, Stephan
AU - Hauser, Michael A.
N1 - Funding Information:
We would like to thank Carrie Browning, Liyong Wang, Jason Rose and others for their helpful suggestions. This work was supported by the following grants P01 HL73042 (NHLBI); R01 AG021547, R01 NS36768 and R01 NS31153 (NINDS); R01 AG19085 (NIA) and R01 EY12012 and R01 EY13315 (NEI).
PY - 2005/11/15
Y1 - 2005/11/15
N2 - Summary: Single nucleotide polymorphisms (SNPs) are commonly used for association studies to find genes responsible for complex genetic diseases. With the recent advance of SNP technology, researchers are able to assay thousands of SNPs in a single experiment. But the process of manually choosing thousands of genotyping SNPs for tens or hundreds of genes is time consuming. We have developed a web-based program, SNPselector, to automate the process. SNPselector takes a list of gene names or a list of genomic regions as input and searches the Ensembl genes or genomic regions for available SNPs. It prioritizes these SNPs on their tagging for linkage disequilibrium, SNP allele frequencies and source, function, regulatory potential and repeat status. SNPselector outputs result in compressed Excel spreadsheet files for review by the user.
AB - Summary: Single nucleotide polymorphisms (SNPs) are commonly used for association studies to find genes responsible for complex genetic diseases. With the recent advance of SNP technology, researchers are able to assay thousands of SNPs in a single experiment. But the process of manually choosing thousands of genotyping SNPs for tens or hundreds of genes is time consuming. We have developed a web-based program, SNPselector, to automate the process. SNPselector takes a list of gene names or a list of genomic regions as input and searches the Ensembl genes or genomic regions for available SNPs. It prioritizes these SNPs on their tagging for linkage disequilibrium, SNP allele frequencies and source, function, regulatory potential and repeat status. SNPselector outputs result in compressed Excel spreadsheet files for review by the user.
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U2 - 10.1093/bioinformatics/bti682
DO - 10.1093/bioinformatics/bti682
M3 - Article
C2 - 16179360
AN - SCOPUS:27944436638
VL - 21
SP - 4181
EP - 4186
JO - Bioinformatics (Oxford, England)
JF - Bioinformatics (Oxford, England)
SN - 1367-4803
IS - 22
ER -