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Identifying metabolic features of colorectal cancer liability using Mendelian randomization.

Caroline Bull | Emma Hazelwood | Joshua A Bell | Vanessa Tan | Andrei-Emil Constantinescu | Carolina Borges | Danny Legge | Kimberley Burrows | Jeroen R Huyghe | Hermann Brenner | Sergi Castellvi-Bel | Andrew T Chan | Sun-Seog Kweon | Loic Le Marchand | Li Li | Iona Cheng | Rish K Pai | Jane C Figueiredo | Neil Murphy | Marc J Gunter | Nicholas J Timpson | Emma E Vincent
eLife | 2023

Recognizing the early signs of cancer risk is vital for informing prevention, early detection, and survival.

Pubmed ID: 38127078

Research resources used in this publication

None found

Antibodies used in this publication

None found

Associated grants

  • Agency: Medical Research Council, United Kingdom
    Id: MR/N0137941/1
  • Agency: Cancer Research UK, United Kingdom
    Id: C18281/A30905
  • Agency: Wellcome Trust, United Kingdom
    Id: 10.35802/202802
  • Agency: Medical Research Council, United Kingdom
    Id: 102215/2/13/2
  • Agency: Diabetes UK, United Kingdom
    Id: 17/0005587
  • Agency: Wellcome Trust, United Kingdom
    Id: 102215/2/13/2
  • Agency: Medical Research Council, United Kingdom
    Id: MC_UU_00011/4
  • Agency: Wellcome Trust, United Kingdom
  • Agency: Wellcome Trust, United Kingdom
    Id: 10.35802/204813
  • Agency: Cancer Research UK, United Kingdom
    Id: C18281/A29019
  • Agency: Medical Research Council, United Kingdom
    Id: MR/P014054/1
  • Agency: Cancer Research UK, United Kingdom
    Id: C18281/A19169

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This is a list of tools and resources that we have found mentioned in this publication.


PLINK (tool)

RRID:SCR_001757

Open source whole genome association analysis toolset, designed to perform range of basic, large scale analyses in computationally efficient manner. Used for analysis of genotype/phenotype data. Through integration with gPLINK and Haploview, there is some support for subsequent visualization, annotation and storage of results. PLINK 1.9 is improved and second generation of the software.

View all literature mentions

REDCap (tool)

RRID:SCR_003445

Web application that allows users to build and manage online surveys and databases. Using REDCap's stream-lined process for rapidly developing projects, you may create and design projects using 1) the online method from your web browser using the Online Designer; and/or 2) the offline method by constructing a "data dictionary" template file in Microsoft Excel, which can be later uploaded into REDCap. Both surveys and databases (or a mixture of the two) can be built using these methods. REDCap provides audit trails for tracking data manipulation and user activity, as well as automated export procedures for seamless data downloads to Excel, PDF, and common statistical packages (SPSS, SAS, Stata, R). Also included are a built-in project calendar, a scheduling module, ad hoc reporting tools, and advanced features, such as branching logic, file uploading, and calculated fields. REDCap has a quick and easy software installation process, so that you can get REDCap running and fully functional in a matter of minutes. Several language translations have already been compiled for REDCap (e.g. Chinese, French, German, Portuguese), and it is anticipated that other languages will be available in full versions of REDCap soon. The REDCap Shared Library is a repository for REDCap data collection instruments and forms that can be downloaded and used by researchers at REDCap partner institutions.

View all literature mentions

Thermo Fisher Scientific (tool)

RRID:SCR_008452

Commercial vendor and service provider of laboratory reagents and antibodies. Supplier of scientific instrumentation, reagents and consumables, and software services.

View all literature mentions