Publications by authors named "Paulo Lyra"

Germline BRCA2 loss-of function variants, which can be identified through clinical genetic testing, predispose to several cancers. However, variants of uncertain significance limit the clinical utility of test results. Thus, there is a need for functional characterization and clinical classification of all BRCA2 variants to facilitate the clinical management of individuals with these variants.

View Article and Find Full Text PDF
Article Synopsis
  • The study explores the use of real-world clinical databases to assess breast cancer genetics, focusing on the prevalence and effectiveness of prevention strategies and treatments, while also highlighting the biases and issues in these data sets that can affect analysis.
  • Using a large health network's data, the research involved cleaning and cross-referencing information on variants in genes related to breast cancer, ultimately aiming to improve the accuracy of genetic variant assessments according to established guidelines.
  • The findings revealed demographic imbalances in the patient cohort and emphasized that incorrect designations of genetic variants were a major source of data loss, but that manual curation and reassessment can significantly enhance data quality and interpretation.
View Article and Find Full Text PDF

Unlabelled: Germline BRCA2 loss-of function (LOF) variants identified by clinical genetic testing predispose to breast, ovarian, prostate and pancreatic cancer. However, variants of uncertain significance (VUS) (n>4000) limit the clinical use of testing results. Thus, there is an urgent need for functional characterization and clinical classification of all variants.

View Article and Find Full Text PDF

Purpose: To identify molecular predictors of grade 3/4 neutropenic or leukopenic events (NLE) after chemotherapy using a genome-wide association study (GWAS).

Experimental Design: A GWAS was performed on patients in the phase III chemotherapy study SUCCESS-A (n = 3,322). Genotyping was done using the Illumina HumanOmniExpress-12v1 array.

View Article and Find Full Text PDF

Genome wide-association studies (GWAS) have established over 400 breast cancer risk loci defined by common single nucleotide polymorphisms (SNPs), including several associated with estrogen-receptor (ER)-negative disease. Most of these loci have not been studied systematically and the mechanistic underpinnings of risk are largely unknown. Here we explored the landscape of genomic features at an ER-negative breast cancer susceptibility locus at chromosome 2p23.

View Article and Find Full Text PDF

Purpose: BRCA1 pathogenic variant heterozygotes are at a substantially increased risk for breast and ovarian cancer. The widespread uptake of testing has led to a significant increase in the detection of missense variants in BRCA1, the vast majority of which are variants of uncertain clinical significance (VUS), posing a challenge to genetic counseling. Here, we harness a wealth of functional data for thousands of variants to aid in variant classification.

View Article and Find Full Text PDF

We sought to identify susceptibility genes for high-grade serous ovarian cancer (HGSOC) by performing a transcriptome-wide association study of gene expression and splice junction usage in HGSOC-relevant tissue types (N = 2,169) and the largest genome-wide association study available for HGSOC (N = 13,037 cases and 40,941 controls). We identified 25 transcriptome-wide association study significant genes, 7 at the junction level only, including LRRC46 at 19q21.32, (P = 1 × 10), CHMP4C at 8q21 (P = 2 × 10) and a PRC1 junction at 15q26 (P = 7 × 10).

View Article and Find Full Text PDF

Genome-wide association studies have identified 40 ovarian cancer risk loci. However, the mechanisms underlying these associations remain elusive. In this study, we conducted a two-pronged approach to identify candidate causal SNPs and assess underlying biological mechanisms at chromosome 9p22.

View Article and Find Full Text PDF

To identify common alleles associated with different histotypes of epithelial ovarian cancer (EOC), we pooled data from multiple genome-wide genotyping projects totaling 25,509 EOC cases and 40,941 controls. We identified nine new susceptibility loci for different EOC histotypes: six for serous EOC histotypes (3q28, 4q32.3, 8q21.

View Article and Find Full Text PDF