Research

Publications

Fanfani, Viola, et al. ‘The landscape of the heritable cancer genome‘. Cancer Research, 2021. doi: 10.1158/0008-5472.CAN-20-3348
Fanfani, Viola, et al. ‘PyGNA: a unified framework for geneset network analysis.‘ BMC Bioinformatics, 2020. doi: https://doi.org/10.1186/s12859-020-03801-1
Fanfani, Viola, et al. ‘Dissecting the heritable risk of breast cancer: from statistical methods to susceptibility genes.‘ Seminars in Cancer Biology. Academic Press, 2020. doi: https://doi.org/10.1016/j.semcancer.2020.06.001
Draberova, Helena, et al. ‘Systematic analysis of the IL‐17 receptor signalosome reveals a robust regulatory feedback loop.’ The EMBO Journal (2020): e104202. doi: https://doi.org/10.15252/embj.2019104202
Fanfani, V. Citi, L., Harris, AL, Pezzella, F. and Stracquadanio, G. ‘Gene-level heritability analysis explains the polygenic architecture of cancer’. bioRxiv, 2019, doi: 10.1101/599753

Conferences

2021, “Network Biology” virtual meeting, CSHL, US. Poster Presentation: “Interpretable graph neural networks unveil system‑level reprogramming in cancer”.
2020, “The Biology of Genomes”, virtual meeting, CSHL, US. Poster Presentation: “Decoding cancer risk in the broader population with gene-level heritability”.
2019, Genes and Cancer Meeting, Cambridge, UK. Selected flash talk: “Dissecting cancer heritability in European populations”.
2018, From functional genomics to system biology, EMBL, Heidelberg, DL. Poster presentation: “Geneset Network Analysis: understanding high-throughput genomic data using the interactome”.
2018, BACR Students Conference. Poster presentation: “A new geneset analysis approach to identify and characterise cancer pathways”

Recent Talks

2019 – SynthSys, University of Edinburgh , “Cancer heritability, decoding the contribution of high frequency variants to cancer risk”.

Projects

On GitHub you can see all the projects I am working on. Most of them are hosted on the lab’s group.

The Bayesian Gene Heritability Analysis software (BAGHERA) estimates the contribution to the heritability of a trait/disease of all the SNPs in the genome (genome-wide heritability) and those nearby protein-coding genes (gene-level heritability).

Documentation can be found here.

PyGNA is a unified framework for network analysis of high-throughput experiment results. It can be used both as a standalone command line application or it can be included as a package in your own python code.

Pygna has now been published in BMC Bioinformatics! https://doi.org/10.1186/s12859-020-03801-1