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Using gene-environment interactions to explore pathways for colorectal cancer risk.

Emmanouil Bouras | Ren Yu | Andre E Kim | Georgios Markozannes | Neil Murphy | Demetrius Albanes | Laura N Anderson | Elizabeth L Barry | Sonja I Berndt | D Timothy Bishop | Hermann Brenner | Andrea Burnett-Hartman | Peter T Campbell | Robert Carreras-Torres | Andrew T Chan | Iona Cheng | Matthew A Devall | Virginia Diez-Obrero | Niki Dimou | David A Drew | Stephen B Gruber | Andrea Gsur | Michael Hoffmeister | Li Hsu | Jeroen R Huyghe | Eric Kawaguchi | Temitope O Keku | Anshul Kundaje | Sébastien Küry | Loïc Le Marchand | Juan Pablo Lewinger | Li Li | Brigid M Lynch | Victor Moreno | John L Morrison | Christina C Newton | Mireia Obón-Santacana | Julie R Palmer | Nikos Papadimitriou | Andrew J Pellatt | Anita R Peoples | Paul D P Pharoah | Elizabeth A Platz | Conghui Qu | Edward Ruiz-Narvaez | Joel Sanchez Mendez | Robert E Schoen | Mariana C Stern | Claire E Thomas | Yu Tian | Caroline Y Um | Kala Visvanathan | Pavel Vodicka | Veronika Vymetalkova | Emily White | Alicja Wolk | Michael O Woods | Anna H Wu | Marc J Gunter | W James Gauderman | Ulrike Peters | Marina Evangelou | Konstantinos K Tsilidis
EBioMedicine | 2025

Colorectal cancer (CRC) is a significant public health concern, highlighting the critical need for identifying novel intervention targets for its prevention.

Pubmed ID: 41076992

Research resources used in this publication

None found

Antibodies used in this publication

None found

Associated grants

  • Agency: World Health Organization, International
    Id: 001

Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.

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


WikiPathways (tool)

RRID:SCR_002134

Open and collaborative platform dedicated to curation of biological pathways. Each pathway has dedicated wiki page, displaying current diagram, description, references, download options, version history, and component gene and protein lists. Database of biological pathways maintained by and for scientific community.

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1000 Genomes: A Deep Catalog of Human Genetic Variation (tool)

RRID:SCR_006828

International collaboration producing an extensive public catalog of human genetic variation, including SNPs and structural variants, and their haplotype contexts, in an effort to provide a foundation for investigating the relationship between genotype and phenotype. The genomes of about 2500 unidentified people from about 25 populations around the world were sequenced using next-generation sequencing technologies. Redundant sequencing on various platforms and by different groups of scientists of the same samples can be compared. The results of the study are freely and publicly accessible to researchers worldwide. The consortium identified the following populations whose DNA will be sequenced: Yoruba in Ibadan, Nigeria; Japanese in Tokyo; Chinese in Beijing; Utah residents with ancestry from northern and western Europe; Luhya in Webuye, Kenya; Maasai in Kinyawa, Kenya; Toscani in Italy; Gujarati Indians in Houston; Chinese in metropolitan Denver; people of Mexican ancestry in Los Angeles; and people of African ancestry in the southwestern United States. The goal Project is to find most genetic variants that have frequencies of at least 1% in the populations studied. Sequencing is still too expensive to deeply sequence the many samples being studied for this project. However, any particular region of the genome generally contains a limited number of haplotypes. Data can be combined across many samples to allow efficient detection of most of the variants in a region. The Project currently plans to sequence each sample to about 4X coverage; at this depth sequencing cannot provide the complete genotype of each sample, but should allow the detection of most variants with frequencies as low as 1%. Combining the data from 2500 samples should allow highly accurate estimation (imputation) of the variants and genotypes for each sample that were not seen directly by the light sequencing. All samples from the 1000 genomes are available as lymphoblastoid cell lines (LCLs) and LCL derived DNA from the Coriell Cell Repository as part of the NHGRI Catalog. The sequence and alignment data generated by the 1000genomes project is made available as quickly as possible via their mirrored ftp sites. ftp://ftp.1000genomes.ebi.ac.uk ftp://ftp-trace.ncbi.nlm.nih.gov/1000genomes

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KEGG (tool)

RRID:SCR_012773

Integrated database resource consisting of 16 main databases, broadly categorized into systems information, genomic information, and chemical information. In particular, gene catalogs in completely sequenced genomes are linked to higher-level systemic functions of cell, organism, and ecosystem. Analysis tools are also available. KEGG may be used as reference knowledge base for biological interpretation of large-scale datasets generated by sequencing and other high-throughput experimental technologies.

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