We performed a three-phase genome-wide association study (GWAS) using cases and controls from a genetically isolated population, Ashkenazi Jews (AJ), to identify loci associated with breast cancer risk. In the first phase, we compared allele frequencies of 150,080 SNPs in 249 high-risk, BRCA1/2 mutation-negative AJ familial cases and 299 cancer-free AJ controls using chi(2) and the Cochran-Armitage trend tests. In the second phase, we genotyped 343 SNPs from 123 regions most significantly associated from stage 1, including 4 SNPs from the FGFR2 region, in 950 consecutive AJ breast cancer cases and 979 age-matched AJ controls. We replicated major associations in a third independent set of 243 AJ cases and 187 controls. We obtained a significant allele P value of association with AJ breast cancer in the FGFR2 region (P = 1.5 x 10(-5), odds ratio (OR) 1.26, 95% confidence interval (CI) 1.13-1.40 at rs1078806 for all phases combined). In addition, we found a risk locus in a region of chromosome 6q22.33 (P = 2.9 x 10(-8), OR 1.41, 95% CI 1.25-1.59 at rs2180341). Using several SNPs at each implicated locus, we were able to verify associations and impute haplotypes. The major haplotype at the 6q22.33 locus conferred protection from disease, whereas the minor haplotype conferred risk. Candidate genes in the 6q22.33 region include ECHDC1, which encodes a protein involved in mitochondrial fatty acid oxidation, and also RNF146, which encodes a ubiquitin protein ligase, both known pathways in breast cancer pathogenesis.

BACKGROUND:Genetic isolates such as the Ashkenazi Jews (AJ) potentially offer advantages in mapping novel loci in whole genome disease association studies. To analyze patterns of genetic variation in AJ, genotypes of 101 healthy individuals were determined using the Affymetrix EAv3 500 K SNP array and compared to 60 CEPH-derived HapMap (CEU) individuals. 435,632 SNPs overlapped and met annotation criteria in the two groups.RESULTS:A small but significant global difference in allele frequencies between AJ and CEU was demonstrated by a mean FST of 0.009 (P < 0.001); large regions that differed were found on chromosomes 2 and 6. Haplotype blocks inferred from pairwise linkage disequilibrium (LD) statistics (Haploview) as well as by expectation-maximization haplotype phase inference (HAP) showed a greater number of haplotype blocks in AJ compared to CEU by Haploview (50,397 vs. 44,169) or by HAP (59,269 vs. 54,457). Average haplotype blocks were smaller in AJ compared to CEU (e.g., 36.8 kb vs. 40.5 kb HAP). Analysis of global patterns of local LD decay for closely-spaced SNPs in CEU demonstrated more LD, while for SNPs further apart, LD was slightly greater in the AJ. A likelihood ratio approach showed that runs of homozygous SNPs were approximately 20% longer in AJ. A principal components analysis was sufficient to completely resolve the CEU from the AJ.CONCLUSION:LD in the AJ versus was lower than expected by some measures and higher by others. Any putative advantage in whole genome association mapping using the AJ population will be highly dependent on regional LD structure.

We developed an efficient pipeline to analyze genome-wide association study single nucleotide polymorphism scan results. Perl scripts were used to convert genotypes called using the BRLMM algorithm into a modified PB format. We computed summary statistics characteristic of our case and control populations including allele counts, missing values, heterozygosity, measures of compliance with Hardy-Weinberg equilibrium, and several population difference statistics. In addition, we computed association tests, including exact tests of association for genotypes, alleles, the Cochran-Armitage linear trend test, and dominant, recessive, and overdominant models at every single nucleotide polymorphism (SNP). In addition, pairwise linkage disequilbrium statistics were elaborated, using the command line version of Haplo View, which was possible by writing a reformatting script. Additional Perl scripts permit loading the results into a MySQL database conjoined with a Generic Genome Browser (gbrowse) for comprehensive visualization. This browser incorporates a download feature that provides actual case and control genotypes to users in associated genomic regions. Thus, re-analysis "on the fly" is possible for casual browser users from anywhere on the Internet.

11005 Background: In the absence of BRCA mutations, variants of CHEK2, ATM, BRIP1 and PALB2, are associated with risk for breast cancer. Recently, two whole genome association studies (WGAS) implicated a locus near FGFR2 with a 1.2 fold increased risk of the disease. Methods: We performed a three-phase genome-wide association study (GWAS) using cases and controls from a genetically isolated population, Ashkenazi Jews (AJ), to identify loci associated with breast cancer risk. In the first phase, we compared allele frequencies of 150,080 single-nucleotide polymorphisms (SNPs) in 249 high-risk, BRCA1/2 mutation-negative AJ familial cases and 299 cancer-free AJ controls using chi square and the Cochran-Armitage trend tests. In the second phase, we genotyped 343 SNPs from 123 regions most significantly associated from stage 1, including 4 SNPs from the FGFR2 region, in 950 consecutive AJ breast cancer cases and 979 age-matched AJ controls. We replicated major associations in a third independent set of 243 AJ cases and 187 controls. Results: There was a significant allele P- value of association with AJ breast cancer in the FGFR2 region (P = 1.5 × 10-5, OR 1.26, 95% CI 1.13–1.40 at rs1078806 for all phases combined). In addition, we found a novel risk locus in a region of chromosome 6q (P = 2.9×10-8, OR 1.41, 95% CI 1.25–1.59). A major haplotype at the 6q locus conferred protection from disease, while the minor haplotype conferred risk. Approximately 7% of all breast cancer in this population is attributable to this risk factor, based on its high frequency and observed OR. Conclusions: These findings confirm FGFR2 as a locus associated with risk for breast cancer, and also indicate the presence of a novel locus on chromosome 6. There are several candidate genes at the 6q locus with homology to genes previously implicated in breast cancer pathogenesis. No significant financial relationships to disclose.

Cristian Pattaro (cristian.pattaro@eurac.edu) Fabio Marroni (fabio.marroni@eurac.edu) Alice Riegler (alice.riegler@eurac.edu) Deborah Mascalzoni (deborah.mascalzoni@eurac.edu) Irene Pichler (irene.pichler@eurac.edu) Claudia B Volpato (cvolpato@eurac.edu) Umberta Dal Cero (udalcero@eurac.edu) Alessandro De Grandi (adegrandi@eurac.edu) Clemens Egger (cegger@eurac.edu) Agatha Eisendle (aeisendle@eurac.edu) Christian Fuchsberger (cfuchsberger@eurac.edu) Martin Gogele (mgoegele@eurac.edu) Sara Pedrotti (spedrotti@eurac.edu) Gerd K Pinggera (kpinggera@eurac.edu) Stefan A Stefanov (stefanovs@ncifcrf.gov) Florian D Vogl (Florian.Vogl@asbmeran-o.it) Christian J Wiedermann (christian.wiedermann@asbz.it) Thomas Meitinger (meitinger@gsf.de) Peter P Pramstaller (ppramstaller@eurac.edu)

Vertebrate evolution has been largely driven by the duplication of genes that allow for the acquisition of new functions. The ATP-binding cassette (ABC) proteins constitute a large and functionally diverse family of membrane transporters. The members of this multigene family are found in all cellular organisms, most often engaged in the translocation of a wide variety of substrates across lipid membranes. Because of the diverse function of these genes, their large size, and the large number of orthologs, ABC genes represent an excellent tool to study gene family evolution. We have identified ABC proteins from the sea squirt (Ciona intestinalis), zebrafish (Danio rerio), and chicken (Gallus gallus) and, using phylogenetic analysis, identified those genes with a one-to-one orthologous relationship to human ABC proteins. All ABC protein subfamilies found in Ciona and zebrafish correspond to the human subfamilies, with the exception of a single ABCH subfamily gene found only in zebrafish. Multiple gene duplication and deletion events were identified in different lineages, indicating an ongoing process of gene evolution. As many ABC genes are involved in human genetic diseases, and important drug transport phenotypes, the understanding of ABC gene evolution is important to the development of animal models and functional studies.

Homo(purine*pyrimidine) sequences (R*Y tracts) with mirror repeat symmetries form stable triplexes that block replication and transcription and promote genetic rearrangements. A systematic search was conducted to map the location of the longest R*Y tracts in the human genome in order to assess their potential function(s). The 814 R*Y tracts with > or =250 uninterrupted base pairs were preferentially clustered in the pseudoautosomal region of the sex chromosomes and located in the introns of 228 annotated genes whose protein products were associated with functions at the cell membrane. These genes were highly expressed in the brain and particularly in genes associated with susceptibility to mental disorders, such as schizophrenia. The set of 1957 genes harboring the 2886 R*Y tracts with > or =100 uninterrupted base pairs was additionally enriched in proteins associated with phosphorylation, signal transduction, development and morphogenesis. Comparisons of the > or =250 bp R*Y tracts in the mouse and chimpanzee genomes indicated that these sequences have mutated faster than the surrounding regions and are longer in humans than in chimpanzees. These results support a role for long R*Y tracts in promoting recombination and genome diversity during evolution through destabilization of chromosomal DNA, thereby inducing repair and mutation.

Most of the inhabitants of South Tyrol in the eastern Italian Alps can be considered isolated populations because of their physical separation by mountain barriers and their sociocultural heritage. We analyzed the genetic structure of South Tyrolean populations using three types of genetic markers: Y-chromosome, mitochondrial DNA (mtDNA), and autosomal Alu markers. Using random samples taken from the populations of Val Venosta, Val Pusteria, Val Isarco, Val Badia, and Val Gardena, we calculated genetic diversity within and among the populations. Microsatellite diversity and unique event polymorphism diversity (on the Y chromosome) were substantially lower in the Ladin-speaking population of Val Badia compared to the neighboring German-speaking populations. In contrast, the genetic diversity of mtDNA haplotypes was lowest for the upper Val Venosta and Val Pusteria. These data suggest a low effective population size, or little admixture, for the gene pool of the Ladin-speaking population from Val Badia. Interestingly, this is more pronounced for Ladin males than for Ladin females. For the pattern of genetic Alu variation, both Ladin samples (Val Gardena and Val Badia) are among the samples with the lowest diversity. An admixture analysis of one German-speaking valley (Val Venosta) indicates a relatively high genetic contribution of Ladin origin. The reduced genetic diversity and a high genetic differentiation in the Rhaetoroman- and German-speaking South Tyrolean populations may constitute an important basis for future medical genetic research and gene mapping studies in South Tyrol.