Large-scale validation of single nucleotide polymorphisms in gene regions.
Genome-wide association studies using large numbers of bi-allelic single nucleotide polymorphisms (SNPs) have been proposed as a potentially powerful method for identifying genes involved in common diseases. To assemble a SNP collection appropriate for large-scale association, we designed assays for 226,099 publicly available SNPs located primarily within known and predicted gene regions. Allele frequencies were estimated in a sample of 92 CEPH Caucasians using chip-based MALDI-TOF mass spectrometry with pooled DNA. Of the 204,200 designed assays that were functional, 125,799 SNPs were determined to be polymorphic (minor allele frequency > 0.02), of which 101,729 map uniquely to the human genome. Many of the commonly available RefSNP annotations were predictive of polymorphic status and could be used to improve the selection of SNPs from the public domain for genetic research. The set of uniquely mapping, polymorphic SNPs is located within 10 kb of 66% of known and predicted genes annotated in LocusLink, which could prove useful for large-scale disease association studies.
Sequenom Inc., San Diego, California 92121, USA.
Matthew R
MR
Nelson
George
G
Marnellos
Stefan
S
Kammerer
Carolyn R
CR
Hoyal
Michael M
MM
Shi
Charles R
CR
Cantor
Andreas
A
Braun
D030541:Databases, Genetic; D005787:Gene Frequency; D015894:Genome, Human; D006801:Humans; D020641:Polymorphism, Single Nucleotide; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / Q000379:methods