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McGill Epigenomics Mapping Centre

The McGill Epigenomics Mapping Centre (EMC) and Data Coordination Centre (EDCC) were established in 2012 at the McGill University and Genome Quebec Innovation Centre (Montreal, Canada) to support large-scale human epigenome mapping for a broad spectrum of cell types and diseases. Previous epigenetic studies have provided profiles of specific chromatin marks in relation to basic biological processes, and future studies of molecular mechanisms must build upon these proofs-of-concept by integrating sequence-based variation with multiple levels of epigenetic and transcriptional regulation across the genome of human tissues and animal disease models. This project leverages the high-throughput sequencing infrastructure and expertise in genomics and transcriptomics at the McGill Innovation Centre to carry out this research. Controlled access to the data by collaborators and the greater scientific community is gained via a portal, which takes advantage of Compute Canada high-performance computing cluster resources to manage the large volume of data associated from the generation of reference epigenome maps. McGill University is one of two Canadian mapping and data coordination centres, the other based at the Michael Smith Genome Sciences Centre in Vancouver, British Columbia. The generation of comprehensive epigenome maps at McGill University is part of a larger international effort that is coordinated by the International Human Epigenome Consortium (IHEC), whose overall long-term objective is to determine the extent to which the epigenome shapes human populations over generations and in response to the environment. This project is funded under the Canadian Epigenetics, Environment, and Health Research Consortium (CEEHRC) by the Canadian Institutes of Health Research and by Genome Quebec, with additional support from Genome Canada. The computing and networking infrastructure, and part of the software development, are provided by Compute Canada and CANARIE.

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID Description Technology Samples
EGAD00001001276 unspecified 8
EGAD00001001277 unspecified 1
EGAD00001001278 unspecified 41
EGAD00001001279 unspecified 55
EGAD00001001280 unspecified 40
EGAD00001001281 unspecified 3
EGAD00001001282 unspecified 82
EGAD00001001283 unspecified 20
EGAD00001001284 unspecified 1
EGAD00001001285 unspecified 1
EGAD00001001286 unspecified 1
EGAD00001001287 unspecified 2
EGAD00001001288 unspecified 29
EGAD00001001289 unspecified 44
EGAD00001001290 unspecified 261
EGAD00001001291 unspecified 40
EGAD00001001292 unspecified 6
EGAD00001001293 unspecified 52
EGAD00001001294 unspecified 32
EGAD00001001295 unspecified 37
EGAD00001001296 unspecified 41
EGAD00001001297 unspecified 42
EGAD00001001298 unspecified 36
EGAD00001001299 unspecified 29
EGAD00001001300 unspecified 1
EGAD00001002705 unspecified 59
EGAD00001007678 unspecified 1
EGAD00001007679 unspecified 4
EGAD00001007680 unspecified 3
EGAD00001008359 HiSeq X Ten 70
EGAD00001008422 Illumina NovaSeq 6000 8
Publications Citations
Epigenome data release: a participant-centered approach to privacy protection.
Genome Biol 16: 2015 142
Evolving data access policy: The Canadian context.
Facets (Ott) 1: 2016 138-147
Conserved expression of transposon-derived non-coding transcripts in primate stem cells.
BMC Genomics 18: 2017 214
Functional variation in allelic methylomes underscores a strong genetic contribution and reveals novel epigenetic alterations in the human epigenome.
Genome Biol 18: 2017 50
Open Chromatin Profiling in Adipose Tissue Marks Genomic Regions with Functional Roles in Cardiometabolic Traits.
G3 (Bethesda) 9: 2019 2521-2533
Genome graphs detect human polymorphisms in active epigenomic state during influenza infection.
Cell Genom 3: 2023 100294
Transposable elements are associated with the variable response to influenza infection.
Cell Genom 3: 2023 100292
DNA methylation-environment interactions in the human genome.
Elife 12: 2024 RP89371
EpiVar Browser: advanced exploration of epigenomics data under controlled access.
Bioinformatics 40: 2024 btae136