The Mutographs project aims to advance our understanding of the causes of cancer through studies of mutational signatures. Led by Mike Stratton, together with Paul Brennan, Ludmil Alexandrov, Allan Balmain, David Phillips and Peter Campbell, this large-scale international research endeavour was awarded a Cancer Research UK Grand Challenge. Different patterns of somatic mutation are generated by the different environmental, lifestyle and genetic factors that cause cancer, many of them are still unknown. Within Mutographs, the International Agency for Research on Cancer is coordinating the recruitment of 5000 individuals with cancer (colorectal, renal, pancreatic, oesophageal adenocarcinoma or oesophageal squamous cancers) across 5 continents to explore whether different mutational signatures explain marked variation in incidence. In brief, through an international network of collaborators around the world, biological materials are collected, along with demographic, histological, clinical and questionnaire data. Whole genome sequences of tumour-germline DNA pairs are generated at the Wellcome Trust Sanger Institute. Non-tumour DNA is also studied for some cancer types. Somatic mutational signatures are subsequently extracted by non-negative matrix factorisation methods and correlated with risk factors data. Through an enhanced understanding of cancer aetiology, Mutographs unprecedented effort is anticipated to outline modifiable risk factors, lead to new approaches to prevent cancer, and provide opportunities to empower early detection, refine high-risk groups and contribute to further therapeutic development.
Bulk RNAseq analysis of 84 PDAC samples : Normalized read counts
One retinoblastoma sample was studied by single-cell RNA-sequencing (10X genomics Chromium).
Single Cell RNA-Seq of Primary GBM. Gender Female, Age, 57.
Sex, age at recruitment (2014-2018), and birthdate of GCAT Cohort individuals.
Raw count matrix of the 124 bulk tumor RNAseq samples from patients with hormone sensitive or castration resistant prostate cancer.
This dataset contains 75 WGS samples of T-ALL (including matched remission samples where available).
HipSci - Macular Dystrophy - RNA Sequencing - July 2017
HipSci - Monogenic Diabetes - Exome Sequencing - January 2016
RNA sequence data for conditionally reprogrammed cells from patient HUB_5
