Microsatellite markers for genome-wide association studies

Microsatellite scanning of the immunogenome associates MAPK14 and ELTD1 with graft-versus-host disease in hematopoietic stem cell transplantation

Graft-versus-host disease (GVHD) is the main complication after hematopoietic stem cell transplantation (HSCT). Evidence for non-HLA gene polymorphisms as a cause of GVHD lacks consistency, which is, in part, due to methodological issues of previous candidate gene association studies and small effect size of their results, demanding for larger scale and more robust approaches. Here, non-HLA gene polymorphisms were studied on a large population (922 HSCT pairs) from a homogeneous ethnic background with selection/correction for important clinical confounders. A methodology was applied exploiting the strength of confirmatory typing in an independent study cohort. Targeting an immunogenome of 2,909 genes, an approach of pooled DNA typing of 4,321 microsatellite (MS) markers in two independent screening steps and confirmation of associated markers by further individual genotyping on combined screening cohorts was used to identify genetic susceptibility loci for moderate to severe GVHD (grades 2-4). Ten MS loci (D5S424, D6S0035i, D1S0818i, DXS0151i, D17S0219i, DXS0629i, DXS0324i, D17S0271i, D6S0330i, and D1S1335i) passed the two pooled DNA typing steps and confirmation by individual sample genotyping; two of these (D1S0818i-ELTD1 and D6S0035i-MAPK14) remain associated following application of Bonferroni's correction and multivariate analysis. The MAPK14 locus was exemplarily explored by typing of haplotype single nucleotide polymorphisms (SNP) confirming this association. This study identified several new MS susceptibility loci for GVHD that warrant further investigation. Immunogenome scanning using MS markers is a useful method for the identification of non-HLA gene loci associating with HSCT outcomes.

SNP marker diversity in common bean (Phaseolus vulgaris L.)

Single nucleotide polymorphism (SNP) markers have become a genetic technology of choice because of their automation and high precision of allele calls. In this study, our goal was to develop 94 SNPs and test them across well-chosen common bean (Phaseolus vulgaris L.) germplasm. We validated and accessed SNP diversity at 84 gene-based and 10 non-genic loci using KASPar technology in a panel of 70 genotypes that have been used as parents of mapping populations and have been previously evaluated for SSRs. SNPs exhibited high levels of genetic diversity, an excess of middle frequency polymorphism, and a within-genepool mismatch distribution as expected for populations affected by sudden demographic expansions after domestication bottlenecks. This set of markers was useful for distinguishing Andean and Mesoamerican genotypes but less useful for distinguishing within each gene pool. In summary, slightly greater polymorphism and race structure was found within the Andean gene pool than within the Mesoamerican gene pool but polymorphism rate between genotypes was consistent with genepool and race identity. Our survey results represent a baseline for the choice of SNP markers for future applications because gene-associated SNPs could themselves be causative SNPs for traits. Finally, we discuss that the ideal genetic marker combination with which to carry out diversity, mapping and association studies in common bean should consider a mix of both SNP and SSR markers.

Linkage disequilibrium between STRPs and SNPs across the human genome

Patterns of linkage disequilibrium (LD) reveal the action of evolutionary processes and provide crucial information for association mapping of disease genes. Although recent studies have described the landscape of LD among single nucleotide polymorphisms (SNPs) from across the human genome, associations involving other classes of molecular variation remain poorly understood. In addition to recombination and population history, mutation rate and process are expected to shape LD. To test this idea, we measured associations between short-tandem-repeat polymorphisms (STRPs), which can mutate rapidly and recurrently, and SNPs in 721 regions across the human genome. We directly compared STRP-SNP LD with SNP-SNP LD from the same genomic regions in the human HapMap populations. The intensity of STRP-SNP LD, measured by the average of D', was reduced, consistent with the action of recurrent mutation. Nevertheless, a higher fraction of STRP-SNP pairs than SNP-SNP pairs showed significant LD, on both short (up to 50 kb) and long (cM) scales. These results reveal the substantial effects of mutational processes on LD at STRPs and provide important measures of the potential of STRPs for association mapping of disease genes.

A genome-wide association scan for asthma in a general Australian population

To date, almost every chromosome has been implicated in genetic susceptibility to asthma to some degree. When compared with single nucleotide polymorphism, microsatellite markers exhibit high levels of heterozygosity and therefore provide higher statistical power in association. The objective of this study was to perform a genome-wide association study using 23,465 in-house microsatellite markers to detect asthma susceptibility regions in the Busselton population. In this study, three separate pooled DNA screenings yielded 18 markers with significantly different estimated frequencies in the three separate "case and control" pools: each pool consisting of 60 males and 60 females. These markers were evaluated by individual typing in 360 cases and 360 controls. Two markers showed significant differences between cases and controls (P = 0.001 and P = 0.003). Regions surrounding the two markers were subjected to high-density association mapping with a total of 14 additional markers. We were able to confirm and fine map the association in these two regions by typing 14 additional microsatellite markers (1805A09 (D18S0325i), P = 0.002; 1806D05 (D18S0181i), P = 0.001). Each region contains a predicted gene that showed strong associations with asthma. Further studies are underway to characterize the novel candidate asthma susceptibility genes identified in this genome-wide study.