Publications by authors named "Maria Zanti"

Sequencing-based genetic tests have uncovered a vast array of BRCA2 sequence variants. Owing to limited clinical, familial and epidemiological data, thousands of variants are considered to be variants of uncertain significance (VUS). Here we have utilized CRISPR-Cas9-based saturation genome editing in a humanized mouse embryonic stem cell line to determine the functional effect of VUS.

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Background: The 313-variant polygenic risk score (PRS) provides a promising tool for clinical breast cancer risk prediction. However, evaluation of the PRS across different European populations which could influence risk estimation has not been performed.

Methods: We explored the distribution of PRS across European populations using genotype data from 94,072 females without breast cancer diagnosis, of European-ancestry from 21 countries participating in the Breast Cancer Association Consortium (BCAC) and 223,316 females without breast cancer diagnosis from the UK Biobank.

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Article Synopsis
  • Clinical genetic testing helps find cancer risks by identifying gene changes, but some of these changes are confusing because we don't know what they mean (called VUS).
  • Researchers studied a huge number of breast cancer patients and healthy people to understand these confusing gene changes better.
  • They found that their method of analyzing data closely matches what other experts say about which gene changes are harmless or harmful, giving more information about 785 unclear changes.
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The 313-variant polygenic risk score (PRS) provides a promising tool for breast cancer risk prediction. However, evaluation of the PRS across different European populations which could influence risk estimation has not been performed. Here, we explored the distribution of PRS across European populations using genotype data from 94,072 females without breast cancer, of European-ancestry from 21 countries participating in the Breast Cancer Association Consortium (BCAC) and 225,105 female participants from the UK Biobank.

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It is estimated that around 5% of breast cancer cases carry pathogenic variants in established breast cancer susceptibility genes. However, the underlying prevalence and gene-specific population risk estimates in Cyprus are currently unknown. We performed sequencing on a population-based case-control study of 990 breast cancer cases and 1094 controls from Cyprus using the BRIDGES sequencing panel.

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Article Synopsis
  • Many variants found in disease susceptibility genes are classified as variants of uncertain significance (VUS), making their interpretation critical for clinical decisions.
  • This study introduces a new likelihood ratio-based method that takes into account gene-specific age-related penetrance to better analyze the pathogenicity of these variants.
  • The method outperformed traditional approaches in simulated and real datasets, allowing for clearer classifications of variants as pathogenic or non-pathogenic for conditions like breast cancer, and includes user-friendly tools for researchers.
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Background: This study aims to characterize SARS-CoV-2 mutations which are primarily prevalent in the Cypriot population. Moreover, using computational approaches, we assess whether these mutations are associated with changes in viral virulence.

Methods: We utilize genetic data from 144 sequences of SARS-CoV-2 strains from the Cypriot population obtained between March 2020 and January 2021, as well as all data available from GISAID.

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Article Synopsis
  • The SARS-CoV-2 pandemic is likened to the 1918 Influenza outbreak, with the virus expected to become an endemic disease featuring seasonal spikes.
  • In response to COVID-19, a team has created a computational drug repurposing method using multi-omic data to identify and rank potential treatments for the virus.
  • Their findings included already known effective drugs like dexamethasone and remdesivir, as well as new candidates such as Src tyrosine kinase inhibitors and specific immunomodulators that may effectively target COVID-19 mechanisms.
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Article Synopsis
  • Next-generation sequencing (NGS) significantly enhances clinical genetics but poses challenges in technical execution and data interpretation, necessitating a consistent analysis pipeline to minimize inaccuracies.
  • A study evaluated 28 combinations of NGS analysis methods, concluding that interval padding is crucial for accurately identifying key variants in breast cancer patients, with BWA-MEM recommended for alignment and a mix of GATK and SAMtools for variant calling.
  • The research underscores the need for improved tools and methodologies in clinical settings to ensure reliable identification of important genetic variants, particularly when dedicated bioinformatics support is limited.
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This study aims to highlight SARS-COV-2 mutations which are associated with increased or decreased viral virulence. We utilize genetic data from all strains available from GISAID and countries' regional information, such as deaths and cases per million, as well as COVID-19-related public health austerity measure response times. Initial indications of selective advantage of specific mutations can be obtained from calculating their frequencies across viral strains.

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In Cyprus, approximately 9% of triple-negative (estrogen receptor-negative, progesterone receptor-negative, and human epidermal growth factor receptor 2-negative) breast cancer (TNBC) patients are positive for germline pathogenic variants (PVs) in . However, the contribution of other genes has not yet been determined. To this end, we aimed to investigate the prevalence of germline PVs in -negative TNBC patients in Cyprus, unselected for family history of cancer or age of diagnosis.

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Aim: Alport syndrome (AS) is the second most common hereditary kidney disease caused by mutations in collagen IV genes. Patients present with microhaematuria that progressively leads to proteinuria and end stage renal disease. Currently, no specific treatment exists for AS.

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The β-hemoglobinopathies sickle cell anemia and β-thalassemia are the focus of many gene-therapy studies. A key disease parameter is the abundance of globin chains because it indicates the level of anemia, likely toxicity of excess or aberrant globins, and therapeutic potential of induced or exogenous β-like globins. Reversed-phase high-performance liquid chromatography (HPLC) allows versatile and inexpensive globin quantification, but commonly applied protocols suffer from long run times, high sample requirements, or inability to separate murine from human β-globin chains.

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