A genome-wide association study for age-related hearing impairment in the Saami.

This study aimed at contributing to the elucidation of the genetic basis of age-related hearing impairment (ARHI), a common multifactorial disease with an important genetic contribution as demonstrated by heritability studies. We conducted a genome-wide association study (GWAS) in the Finnish Saami, a small, ancient, genetically isolated population without evidence of demographic expansion. The choice of this study population was motivated by its anticipated higher extent of LD, potentially offering a substantial power advantage for association mapping. DNA samples and audiometric measurements were collected from 352 Finnish Saami individuals, aged between 50 and 75 years. To reduce the burden of multiple testing, we applied principal component (PC) analysis to the multivariate audiometric phenotype. The first three PCs captured 80% of the variation in hearing thresholds, while maintaining biologically important audiometric features. All subjects were genotyped with the Affymetrix 100 K chip. To account for multiple levels of relatedness among subjects, as well as for population stratification, association testing was performed using a mixed model. We summarised the top-ranking association signals for the three traits under study. The top-ranked SNP, rs457717 (P-value 3.55 x 10(-7)), was associated with PC3 and was localised in an intron of the IQ motif-containing GTPase-activating-like protein (IQGAP2). Intriguingly, the SNP rs161927 (P-value 0.000149), seventh-ranked for PC1, was positioned immediately downstream from the metabotropic glutamate receptor-7 gene (GRM7). As a previous GWAS of a European and Finnish sample set already suggested a role for GRM7 in ARHI, this study provides further evidence for the involvement of this gene.

Genome-wide SNP analysis reveals no gain in power for association studies of common variants in the Finnish Saami.

The Saami from Fennoscandia are believed to represent an ancient, genetically isolated population with no evidence of population expansion. Theoretical work has indicated that under this demographic scenario, extensive linkage disequilibrium (LD) is generated by genetic drift. Therefore, it has been suggested that the Saami would be particularly suited for genetic association studies, offering a substantial power advantage and allowing more economic study designs. However, no study has yet assessed this claim. As part of a GWAS for a complex trait, we evaluated the relative power for association studies of common variants in the Finnish Saami. LD patterns in the Saami were very similar to those in the non-African HapMap reference panels. Haplotype diversity was reduced and, on average, levels of LD were higher in the Saami as compared with those in the HapMap panels. However, using a 'hidden' SNP approach we show that this does not translate into a power gain in association studies. Contrary to earlier claims, we show that for a given set of common SNPs, genomic coverage attained in the Saami is similar to that in the non-African HapMap panels. Nevertheless, the reduced haplotype diversity could potentially facilitate gene identification, especially if multiple rare variants play a role in disease etiology. Our results further indicate that the HapMap is a useful resource for genetic studies in the Saami.

Visualization of uniparental inheritance, Mendelian inconsistencies, deletions, and parent of origin effects in single nucleotide polymorphism trio data with SNPtrio.

A variety of alterations occur in chromosomal DNA, many of which can be detected using high density single nucleotide polymorphism (SNP) microarrays. These include deletions and duplications (assessed by observing changes in copy number) and regions of homozygosity. The analysis of SNP data from trios can provide an additional category of information about the nature and origin of inheritance patterns, including uniparental disomy (UPD), loss of transmitted allele (LTA), and nonparental relationship. The main purpose of SNPtrio is to locate regions of uniparental inheritance (UPI) and Mendelian inconsistency (MI), identify the type (paternal vs. maternal, iso- vs. hetero-), and assess the associated statistical probability of occurrence by chance. SNPtrio's schema permits the identification of hemizygous or homozygous deletions as well as UPD. We validated the performance of SNPtrio on three platforms (Affymetrix 10 K and 100 K arrays and Illumina 550 K arrays) using SNP data obtained from DNA samples of patients known to have UPD and diagnosed with Prader-Willi syndrome, Angelman syndrome, Beckwith-Wiedemann syndrome, pseudohypoparathyroidism, and a complex chromosome 2 abnormality. We further validated SNPtrio using DNA from patients previously shown to have microdeletions that were verified by fluorescence in situ hybridization (FISH). SNPtrio successfully identified previously known UPD and deletion regions, and generated associated probability values. SNPtrio analysis of trisomy 21 (Down syndrome) cases and their parents permitted identification of the parent of origin of the extra chromosomal copy. SNPtrio is freely accessible at http://pevsnerlab.kennedykrieger.org/SNPtrio.htm (Last accessed: 20 June 2007).