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- Allelic expression imbalance of PIK3CA mutations is frequent in breast cancer and prognostically significantPublication . Correia, Lizelle; Magno, Ramiro; Xavier, JM; Almeida, Bernardo; Duarte, Isabel; Esteves, Filipa; Ghezzo, Marinella; Eldridge, Matthew; Sun, Chong; Bosma, Astrid; Mittempergher, Lorenza; Marreiros, Ana; Bernards, Rene; Caldas, Carlos; Chin, Suet-Feung; Maia, Ana-TeresaPIK3CA mutations are the most common in breast cancer, particularly in the estrogen receptor-positive cohort, but the benefit of PI3K inhibitors has had limited success compared with approaches targeting other less common mutations. We found a frequent allelic expression imbalance between the missense mutant and wild-type PIK3CA alleles in breast tumors from the METABRIC (70.2%) and the TCGA (60.1%) projects. When considering the mechanisms controlling allelic expression, 27.7% and 11.8% of tumors showed imbalance due to regulatory variants in cis, in the two studies respectively. Furthermore, preferential expression of the mutant allele due to cis-regulatory variation is associated with poor prognosis in the METABRIC tumors (P = 0.031). Interestingly, ER-, PR-, and HER2+ tumors showed significant preferential expression of the mutated allele in both datasets. Our work provides compelling evidence to support the clinical utility of PIK3CA allelic expression in breast cancer in identifying patients of poorer prognosis, and those with low expression of the mutated allele, who will unlikely benefit from PI3K inhibitors. Furthermore, our work proposes a model of differential regulation of a critical cancer-promoting gene in breast cancer.
- Germline allelic expression of genes at 17q22 locus associates with risk of breast cancerPublication . Esteves, Filipa; M Xavier, Joana; Ford, Anthony M.; Rocha, Cátia; Pharoah, Paul D. P.; Caldas, Carlos; Chin, Suet-Feung; Maia, Ana-TeresaIntroduction: Translation of genome-wide association study (GWAS) findings into preventive approaches is challenged by the identification of the causal risk variants and the understanding of the biological mechanisms by which they act. We present using allelic expression (AE) ratios to perform quantitative caseecontrol analysis as a novel approach to identify risk associations, causal regulatory variants, and target genes. Methods: Using the breast cancer (BC) risk locus 17q22 to validate this approach, we measured AE ratios in normal breast tissue samples from controls and cases, as well as from unmatched blood samples. Then we used in-silico and in-vitro analysis to map and functionally characterised candidate causal variants. Results: We found a significant shift in the AE patterns of STXBP4 (rs2628315) and COX11 (rs17817901) in the normal breast tissue of cases and healthy controls. Preferential expression of the G-rs2628315 and A-rs17817901 alleles, more often observed in cases, was associated with an increased risk for BC. Analysis of blood samples from cases and controls found a similar association. Furthermore, we identified two putative cis-regulatory variants - rs17817901 and rs8066588 - that affect a miRNA and a transcription factor binding site, respectively. Conclusion: We propose causal variants and target genes for the 17q22 BC risk locus and show that using AE ratios in caseecontrol association studies is helpful in identifying risk and mapping causal variants.
- Ulcerative colitis is under dual (Mitochondrial and Nuclear) genetic controlPublication . Rosa, Alexandra; Abrantes, Patrícia; Sousa, Inês; Francisco, Vânia; Santos, Patrícia; Francisco, David; M Xavier, Joana; Oliveira, Sofia A.Background: Cellular oxidative stress and genetic susceptibility have been implicated in the multifactorial etiology of ulcerative colitis (UC). The nuclear genome association with UC has been intensely investigated, but the role of the mitochondrial DNA (mtDNA) has received far less attention and may account for part of the missing heritability. This study is a comprehensive analysis of the mtDNA contribution to UC susceptibility. Methods: The association of mitochondrial single-nucleotide polymorphisms (mtSNPs) and haplogroups with UC was tested in 488 cases and 833 controls of European ancestry from the NIDDK IBD Genetics Consortium Ulcerative Colitis Genome-Wide Association Study available through dbGaP and from the Illumina Genotype Control Database (studies 64 and 65). Results: No evidence of population stratification could be detected using 218 ancestry informative markers for European Americans. Seven of the 58 tested mtSNPs were nominally associated with UC, and A10550G in MT-ND4L withstands the Bonferroni correction (P = 1.29E-06, odds ratio [ORG] [95% confidence interval (CI)] = 4.80 [2.54-9.05], 10550G allele: 8.1% of patients and 1.9% of controls). A10550G remains equally associated after conditional analyses on the 11 UC genome-wide association studies (GWAS) top SNPs (6.35E-07 < P-cond < 4.58E-06), which suggests that it constitutes an independent risk factor from nuclear-encoded susceptibility loci. We detected additive (but not multiplicative) epistatic interactions between A10550G and all 11 top GWAS hits. Subhaplogroup K1 (P = 0.021, OR [95% CI] = 1.71 [1.08-2.69]) increased the risk for UC, whereas the U5b lineage conferred protection (P = 0.016, OR [95% CI] = 0.34 [0.14-0.82]). Conclusions: These results suggest that UC has a dual mitochondrial and nuclear genetic control that warrants further replication in independent data sets and reinforces its etiopathogenic complexity.
- StemCellNet: an interactive platform for network-oriented investigations in stem cell biologyPublication . Pinto, Jose P.; Kalathur, Ravi Kiran Reddy; Machado, Rui; JM Xavier; Bragança, José; Futschik, Matthias E.Stem cells are characterized by their potential for self-renewal and their capacity to differentiate into mature cells. These two key features emerge through the interplay of various factors within complex molecular networks. To provide researchers with a dedicated tool to investigate these networks, we have developed StemCellNet, a versatile web server for interactive network analysis and visualization. It rapidly generates focused networks based on a large collection of physical and regulatory interactions identified in human and murine stem cells. The StemCellNet web-interface has various easy-to-use tools for selection and prioritization of network components, as well as for integration of expression data provided by the user. As a unique feature, the networks generated can be screened against a compendium of stemness-associated genes. StemCellNet can also indicate novel candidate genes by evaluating their connectivity patterns. Finally, an optional dataset of generic interactions, which provides large coverage of the human and mouse proteome, extends the versatility of StemCellNet to other biomedical research areas in which stem cells play important roles, such as in degenerative diseases or cancer. The StemCellNet web server is freely accessible at http://stemcellnet.sysbiolab.eu.
- Mitochondrial genome association study with peripheral arterial disease and venous thromboembolismPublication . Abrantes, Patrícia; Rosa, Alexandra; Francisco, Vania; Sousa, Inês; M Xavier, Joana; Oliveira, Sofia A.Background and aims: Peripheral arterial disease (PAD) and venous thromboembolism (VTE) are vascular traits sharing common modifiable and non-modifiable risk factors. These vascular pathologies have known nuclear-encoded genetic risk factors and the mitochondrial DNA may account for part of the missing heritability. To determine if PAD and VTE have a dual genetic control (mitochondrial and nuclear), we hereby investigated the association of mitochondrial DNA polymorphisms and haplogroups with these vascular traits.Methods: The association of mitochondrial single nucleotide polymorphisms (mtSNPs) and haplogroups was tested in 1652 PAD cases and 1629 controls from the eMERGE PAD genome-wide association study (GWAS), and 1241 VTE cases and 1278 controls from the GENEVA GWAS of venous thrombosis (dbGaP accession numbers phs000203. v1. p1 and phs000289. v2. p1, respectively).Results: 66 and 72 mtSNPs passed quality control filters and were tested for association with PAD and VTE, respectively. Significant evidence of population stratification could not be detected in both datasets. Three mtSNPs (m. 477T > C, m. 9667A > G, and m. 10915T > C) were nominally associated (3.01 x 10(-3) <= pa <= 3.96 x 10(-2)) with PAD in the logistic regression adjusted for confounding factors, and m. 11914G > A was nominally associated (pa = 4.14 x 10(-2)) with VTE. None of the nine major mitochondrial haplogroups were associated with either PAD or VTE.Conclusion: Unlike other vascular diseases such as stroke and diabetes, these results suggest that common mitochondrial variants individually or in combination do not play a major role in PAD and VTE susceptibility. (C) 2016 Elsevier Ireland Ltd. All rights reserved.
- Allele-specific miRNA-binding analysis identifies candidate target genes for breast cancer riskPublication . Jacinta-Fernandes, Ana; Xavier, Joana M.; Magno, Ramiro; Lage, Joel; Maia, Ana-TeresaMost breast cancer (BC) risk-associated single-nucleotide polymorphisms (raSNPs) identified in genome-wide association studies (GWAS) are believed to cis-regulate the expression of genes. We hypothesise that cis-regulatory variants contributing to disease risk may be affecting microRNA (miRNA) genes and/or miRNA binding. To test this, we adapted two miRNA-binding prediction algorithms-TargetScan and miRanda-to perform allele-specific queries, and integrated differential allelic expression (DAE) and expression quantitative trait loci (eQTL) data, to query 150 genome-wide significant ( P≤5×10-8 ) raSNPs, plus proxies. We found that no raSNP mapped to a miRNA gene, suggesting that altered miRNA targeting is an unlikely mechanism involved in BC risk. Also, 11.5% (6 out of 52) raSNPs located in 3'-untranslated regions of putative miRNA target genes were predicted to alter miRNA::mRNA (messenger RNA) pair binding stability in five candidate target genes. Of these, we propose RNF115, at locus 1q21.1, as a strong novel target gene associated with BC risk, and reinforce the role of miRNA-mediated cis-regulation at locus 19p13.11. We believe that integrating allele-specific querying in miRNA-binding prediction, and data supporting cis-regulation of expression, improves the identification of candidate target genes in BC risk, as well as in other common cancers and complex diseases.
- Targeting molecular networks for drug researchPublication . Pinto, Jose P.; Machado, Ruis. R.; Xavier, Joana M.; Futschik, Matthias E.The study of molecular networks has recently moved into the limelight of biomedical research. While it has certainly provided us with plenty of new insights into cellular mechanisms, the challenge now is how to modify or even restructure these networks. This is especially true for human diseases, which can be regarded as manifestations of distorted states of molecular networks. Of the possible interventions for altering networks, the use of drugs is presently the most feasible. In this mini-review, we present and discuss some exemplary approaches of how analysis of molecular interaction networks can contribute to pharmacology (e.g., by identifying new drug targets or prediction of drug side effects), as well as list pointers to relevant resources and software to guide future research. We also outline recent progress in the use of drugs for in vitro reprogramming of cells, which constitutes an example par excellence for altering molecular interaction networks with drugs.
- Colocalised genetic associations reveal alternative splicing variants as candidate causal links for breast cancer risk in 10 LociPublication . Duarte, André; Carrasqueiro, Beatriz; Vieira de Sousa, Cármen Sofia; Gonçalves de Gouveia Maia Xavier, Joana; Maia, Ana-TeresaSimple Summary Hundreds of common genetic variants have been linked to breast cancer, but their exact mechanisms of action remain unclear. Understanding these mechanisms could lead to better prevention strategies and improved survival rates. Our study focused on how these variants influence splicing-a process by which a gene's coding elements are rearranged to produce different proteins. By analysing data from healthy breast tissue, we identified 43 variants within twelve genes associated with both alternative splicing and breast cancer risk. We then used advanced computational tools and existing experimental data to explore the biological significance of these findings.Abstract Genome-wide association studies (GWASs) have revealed numerous loci associated with breast cancer risk, yet the precise causal variants, their impact on molecular mechanisms, and the affected genes often remain elusive. We hypothesised that specific variants exert their influence by affecting cis-regulatory alternative splice elements. An analysis of splicing quantitative trait loci (sQTL) in healthy breast tissue from female individuals identified multiple variants linked to alterations in splicing ratios. Through colocalisation analysis, we pinpointed 43 variants within twelve genes that serve as candidate causal links between sQTL and GWAS findings. In silico splice analysis highlighted a potential mechanism for three genes-FDPS, SGCE, and MRPL11-where variants in proximity to or on the splice site modulate usage, resulting in alternative splice transcripts. Further in vitro/vivo studies are imperative to fully understand how these identified changes contribute to breast oncogenesis. Moreover, investigating their potential as biomarkers for breast cancer risk could enhance screening strategies and early detection methods for breast cancer.
- Identification of candidate causal variants and target genes at 41 breast cancer risk loci through differential allelic expression analysisPublication . Gonçalves de Gouveia Maia Xavier, Joana; Magno, Ramiro; Russell, Roslin; Almeida, Bernardo P. de; Jacinta-Fernandes, Ana; Duarte, André; Besouro-Duarte, André; Dunning, Mark; Samarajiwa, Shamith; O’Reilly, Martin; Marques Maia de Almeida, José António; Rocha, Cátia L.; Rosli, Nordiana; Ponder, Bruce A. J.; Maia, Ana-TeresaUnderstanding breast cancer genetic risk relies on identifying causal variants and candidate target genes in risk loci identified by genome-wide association studies (GWAS), which remains challenging. Since most loci fall in active gene regulatory regions, we developed a novel approach facilitated by pinpointing the variants with greater regulatory potential in the disease’s tissue of origin. Through genome-wide differential allelic expression (DAE) analysis, using microarray data from 64 normal breast tissue samples, we mapped the variants associated with DAE (daeQTLs). Then, we intersected these with GWAS data to reveal candidate risk regulatory variants and analysed their cis-acting regulatory potential. Finally, we validated our approach by extensive functional analysis of the 5q14.1 breast cancer risk locus. We observed widespread gene expression regulation by cis-acting variants in breast tissue, with 65% of coding and noncoding expressed genes displaying DAE (daeGenes). We identified over 54 K daeQTLs for 6761 (26%) daeGenes, including 385 daeGenes harbouring variants previously associated with BC risk. We found 1431 daeQTLs mapped to 93 different loci in strong linkage disequilibrium with risk-associated variants (risk-daeQTLs), suggesting a link between risk-causing variants and cis-regulation. There were 122 risk-daeQTL with stronger cis-acting potential in active regulatory regions with protein binding evidence. These variants mapped to 41 risk loci, of which 29 had no previous report of target genes and were candidates for regulating the expression levels of 65 genes. As validation, we identified and functionally characterised five candidate causal variants at the 5q14.1 risk locus targeting the ATG10 and ATP6AP1L genes, likely acting via modulation of alternative transcription and transcription factor binding. Our study demonstrates the power of DAE analysis and daeQTL mapping to identify causal regulatory variants and target genes at breast cancer risk loci, including those with complex regulatory landscapes. It additionally provides a genome-wide resource of variants associated with DAE for future functional studies.