Genome-wide association studies have identified breast cancer risk variants in over 150 genomic regions, but the mechanisms underlying risk remain largely unknown. These regions were explored by combining association analysis with in silico genomic feature annotations. We defined 205 independent risk-associated signals with the set of credible causal variants (CCVs) in each one. In parallel, we used a Bayesian approach (PAINTOR) that combines genetic association, linkage disequilibrium, and enriched genomic features to determine variants with high posterior probabilities of being causal. Potentially causal variants were significantly over-represented in active gene regulatory regions and transcription factor binding sites. We applied our INQUSIT Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:

In addition to the identification of substantial number of proteins with known association with PCa, the proteomic approach in this study revealed proteins not previously clearly related to PCa, providing a starting point for further elucidation of their function in disease initiation and progression.

Spermatogenesis is a complex process that involves thousands of genes whose expression during different stages is strictly regulated. Small non-coding microRNAs play an important role in the posttranscriptional regulation of mRNA processing during spermatogenesis. Using Agilent SurePrint v16 microRNA 8 × 60 K microarray kit, we investigated the microRNA expression profiles of 24 formalin-fixed paraffin-embedded testicular biopsies from patients with hypospermatogenesis (n = 10), hypospermatogenesis and azoospermia factor c region on the Y chromosome (AZFc) deletion (n = 3), Sertoli cell-only syndrome (n = 3) and maturation arrest (n = 2), in comparison with subjects with normal spermatogenesis (n = 6). After adjusting for multiple testing, six deregulated miRNAs were detected in the patients with AZFc deletion, 30 in maturation arrest group, 52 in Sertoli cell-only syndrome group of patients, and none in the group of patients with hypospermatogenesis. Some of the deregulated microRNAs were shared between groups, resulting in 58 unique differentially expressed microRNAs. The expression of five microRNAs (hsa-miR-34b, hsa-miR-449b, hsa-miR-517c, hsa-miR-181c, and hsa-miR-605) was validated by qRT-PCR in a total of 74 samples. Using mRNA expression profiles of subjects with matching histopathological patterns of impaired spermatogenesis from publically available Gene Expression Omnibus data sets, we have performed integrated mRNA-microRNA regulatory network analysis. Pathway analysis revealed significantly enriched set of genes for tumor necrosis factor-related apoptosis-inducing ligand signaling pathway, previously shown to be involved in regulation of apoptosis in normal functioning testis. Our results should be considered as preliminary as we have analyzed only a small number of patients in each studied group. Further studies with larger number of patients with impaired spermatogenesis as well as more targeted approaches with parallel microRNA and mRNA expression profiling in isolated subpopulations of somatic or germ cells from different stages of spermatogenesis are needed to clarify the role of the microRNAs in the process of spermatogenesis.

Genome-wide association studies have identified breast cancer risk variants in over 150 genomic regions, but the mechanisms underlying risk remain largely unknown. These regions were explored by combining association analysis with in silico genomic feature annotations. We defined 205 independent risk-associated signals with the set of credible causal variants (CCVs) in each one. In parallel, we used a Bayesian approach (PAINTOR) that combines genetic association, linkage disequilibrium, and enriched genomic features to determine variants with high posterior probabilities (HPPs) of being causal.Potentially causal variants were significantly over-represented in active gene regulatory regions and transcription factor binding sites. We applied our INQUSIT pipeline for prioritizing genes as targets of potentially causal variants, using gene expression (eQTL), chromatin interaction and functional annotations. Known cancer drivers, transcription factors and genes in the developmental, apoptosis, immune system and DNA integrity checkpoint gene ontology pathways, were over-represented among the 178 highest confidence target genes.

Germline protein truncating variants (PTVs) in the FANCM gene have been associated with a 2–4-fold increased breast cancer risk in case-control studies conducted in different European populations. However, the distribution and the frequency of FANCM PTVs in Europe have never been investigated. In the present study, we collected the data of 114 European female breast cancer cases with FANCM PTVs ascertained in 20 centers from 13 European countries. We identified 27 different FANCM PTVs. The p.Gln1701* PTV is the most common PTV in Northern Europe with a maximum frequency in Finland and a lower relative frequency in Southern Europe. On the contrary, p.Arg1931* seems to be the most common PTV in Southern Europe. We also showed that p.Arg658*, the third most common PTV, is more frequent in Central Europe, and p.Gln498Thrfs*7 is probably a founder variant from Lithuania. Of the 23 rare or unique FANCM PTVs, 15 have not been previously reported. We provide here the initial spectrum of FANCM PTVs in European breast cancer cases.