Project description:Among US Latinas and Mexican women, those with higher European ancestry have increased risk of breast cancer. We combined an admixture mapping and genome-wide association mapping approach to search for genomic regions that may explain this observation. Latina women with breast cancer (n= 1497) and Latina controls (n= 1272) were genotyped using Affymetrix and Illumina arrays. We inferred locus-specific genetic ancestry and compared the ancestry between cases and controls. We also performed single nucleotide polymorphism (SNP) association analyses in regions of interest. Correction for multiple-hypothesis testing was conducted using permutations (P(corrected)). We identified one region where genetic ancestry was significantly associated with breast cancer risk: 6q25 [odds ratio (OR) per Indigenous American chromosome 0.75, 95% confidence interval (CI): 0.65-0.85, P= 1.1 × 10(-5), P(corrected)= 0.02]. A second region on 11p15 showed a trend towards association (OR per Indigenous American chromosome 0.77, 95% CI: 0.68-0.87, P= 4.3 × 10(-5), P(corrected)= 0.08). In both regions, breast cancer risk decreased with higher Indigenous American ancestry in concordance with observations made on global ancestry. The peak of the 6q25 signal includes the estrogen receptor 1 (ESR1) gene and 5' region, a locus previously implicated in breast cancer. Genome-wide association analysis found that a multi-SNP model explained the admixture signal in both regions. Our results confirm that the association between genetic ancestry and breast cancer risk in US Latinas is partly due to genetic differences between populations of European and Indigenous Americans origin. Fine-mapping within the 6q25 and possibly the 11p15 loci will lead to the discovery of the biologically functional variant/s behind this association.

| S-EPMC3313799 | biostudies-literature

Whole exome sequencing and RNA-seq to characterize the somatic breast cancer landscape among Latinas in California

Project description:Whole exome sequencing and RNA-seq to characterize the somatic breast cancer landscape among Latinas in California

| PRJNA940528 | ENA

Whole exome sequencing and RNA-seq to characterize the somatic breast cancer landscape among Latinas in California

Project description:Whole exome sequencing and RNA-seq to characterize the somatic breast cancer landscape among Latinas in California

| PRJNA940529 | ENA

Breast cancer development model

Project description:Breast cancer development model

2020-10-08 | 627 | FAIRDOMHub

Breast Cancer Lipidomics Tissue

Project description:Screening of Breast Cancer tissue samples for alteration in the lipidome using high resolution mass spectrometer,and mapping of these changes to clinico-pathological data to search for potential bio markers

2017-12-06 | ST001111 | MetabolomicsWorkbench

A genetic atlas of human admixture history

Project description:Modern genetic data combined with appropriate statistical methods have the potential to contribute substantially to our understanding of human history. We have developed an approach that exploits the genomic structure of admixed populations to date and characterize historical mixture events at fine scales. We used this to produce an atlas of worldwide human admixture history, constructed using genetic data alone and encompassing over 100 events occurring over the past 4,000 years. We identify events whose dates and participants suggest they describe genetic impacts of the Mongol Empire, Arab slave trade, Bantu expansion, first millennium CE migrations in eastern Europe, and European colonialism, as well as unrecorded events, revealing admixture to be an almost universal force shaping human populations. 158 indviduals of Eurasian descent included as part of a global analysis of admixture

2014-02-14 | E-GEOD-53626 | biostudies-arrayexpress

Breast-cancer

Project description:Breast-cancer paper

| PRJEB21010 | ENA