Skip to main content
Genome Biology logoLink to Genome Biology
. 2019 May 7;20:89. doi: 10.1186/s13059-019-1702-7

Correction to: Functional variation in allelic methylomes underscores a strong genetic contribution and reveals novel epigenetic alterations in the human epigenome

Warren A Cheung 1,2,#, Xiaojian Shao 1,2,#, Andréanne Morin 1,2,#, Valérie Siroux 3, Tony Kwan 1,2, Bing Ge 1,2, Dylan Aïssi 3, Lu Chen 4,5, Louella Vasquez 4, Fiona Allum 1,2, Frédéric Guénard 6, Emmanuelle Bouzigon 7, Marie-Michelle Simon 2, Elodie Boulier 2, Adriana Redensek 2, Stephen Watt 4, Avik Datta 8, Laura Clarke 8, Paul Flicek 8, Daniel Mead 4, Dirk S Paul 9,10, Stephan Beck 9, Guillaume Bourque 1,2, Mark Lathrop 1,2, André Tchernof 11, Marie-Claude Vohl 6, Florence Demenais 7, Isabelle Pin 3,12, Kate Downes 5,13, Hendrick G Stunnenberg 14, Nicole Soranzo 4,5,15,16, Tomi Pastinen 1,2,, Elin Grundberg 1,2,
PMCID: PMC6503438  PMID: 31064398

Correction to: Genome Biol

https://doi.org/10.1186/s13059-017-1173-7

Following publication of the original article [1], the authors reported an error in Additional file 1. The updated Additional file 1 is given below.

Additional file

Additional file 1 (4.3MB, zip)

Description of MCC-Seq capture panel. This file contains: (1) summary of CpGs and genomic regions targeted by the MCC-Seq capture panel design (.xlsx Excel spreadsheet format), and (2) a list of the targeted regions (.bed text file). (ZIP 4405 kb)

Contributor Information

Tomi Pastinen, Email: tomi.pastinen@gmail.com, Email: tomi.pastinen@mcgill.ca.

Elin Grundberg, Email: elin.grundberg@mcgill.ca.

Reference

  • 1.Cheung et al. Functional variation in allelic methylomes underscores a strong genetic contribution and reveals novel epigenetic alterations in the human epigenome. Genome Biol. 2017;18:50. doi: 10.1186/s13059-017-1173-7. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Additional file 1 (4.3MB, zip)

Description of MCC-Seq capture panel. This file contains: (1) summary of CpGs and genomic regions targeted by the MCC-Seq capture panel design (.xlsx Excel spreadsheet format), and (2) a list of the targeted regions (.bed text file). (ZIP 4405 kb)


Articles from Genome Biology are provided here courtesy of BMC

RESOURCES