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A genetic locus within the FMN1/GREM1 gene region interacts with body mass index in colorectal cancer risk

Overview of attention for article published in Cancer Research, May 2023
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Article details
Title
A genetic locus within the FMN1/GREM1 gene region interacts with body mass index in colorectal cancer risk
Published in
Cancer Research, May 2023
DOI 10.1158/0008-5472.can-22-3713
Pubmed ID
Authors

Elom K. Aglago, Andre Kim, Yi Lin, Conghui Qu, Marina Evangelou, Yu Ren, John Morrison, Demetrius Albanes, Volker Arndt, Elizabeth L. Barry, James W. Baurley, Sonja I. Berndt, Stephanie A. Bien, D. Timothy Bishop, Emmanouil Bouras, Hermann Brenner, Daniel D. Buchanan, Arif Budiarto, Robert Carreras-Torres, Graham Casey, Tjeng Wawan Cenggoro, Andrew T. Chan, Jenny Chang-Claude, Xuechen Chen, David V. Conti, Matthew Devall, Virginia Diez-Obrero, Niki Dimou, David Drew, Jane C. Figueiredo, Steven Gallinger, Graham G. Giles, Stephen B. Gruber, Andrea Gsur, Marc J. Gunter, Heather Hampel, Sophia Harlid, Akihisa Hidaka, Tabitha A. Harrison, Michael Hoffmeister, Jeroen R. Huyghe, Mark A. Jenkins, Kristina Jordahl, Amit D. Joshi, Eric S. Kawaguchi, Temitope O. Keku, Anshul Kundaje, Susanna C. Larsson, Loic Le Marchand, Juan Pablo Lewinger, Li Li, Brigid M. Lynch, Bharuno Mahesworo, Marko Mandic, Mireia Obón-Santacana, Victor Moreno, Neil Murphy, Hongmei Nan, Rami Nassir, Polly A. Newcomb, Shuji Ogino, Jennifer Ose, Rish K. Pai, Julie R. Palmer, Nikos Papadimitriou, Bens Pardamean, Anita R. Peoples, Elizabeth A. Platz, John D. Potter, Ross L. Prentice, Gad Rennert, Edward Ruiz-Narvaez, Lori C. Sakoda, Peter C. Scacheri, Stephanie L. Schmit, Robert E. Schoen, Anna Shcherbina, Martha L. Slattery, Mariana C. Stern, Yu-Ru Su, Catherine M. Tangen, Stephen N. Thibodeau, Duncan C. Thomas, Yu Tian, Cornelia M. Ulrich, Franzel JB van Duijnhoven, Bethany Van Guelpen, Kala Visvanathan, Pavel Vodicka, Jun Wang, Emily White, Alicja Wolk, Michael O. Woods, Anna H. Wu, Natalia Zemlianskaia, Li Hsu, W. James Gauderman, Ulrike Peters, Konstantinos K. Tsilidis, Peter T. Campbell

Abstract

Colorectal cancer (CRC) risk can be impacted by genetic, environmental, and lifestyle factors, including diet and obesity. Gene-environment (G×E) interactions can provide biological insights into the effects of obesity on CRC risk. Here, we assessed potential genome-wide G×E interactions between body mass index (BMI) and common single nucleotide polymorphisms (SNPs) for CRC risk using data from 36,415 CRC cases and 48,451 controls from three international CRC consortia (CCFR, CORECT, and GECCO). The G×E tests included the conventional logistic regression using multiplicative terms (one-degree of freedom, 1DF test), the two-step EDGE method, and the joint 3DF test, each of which is powerful for detecting G×E interactions under specific conditions. BMI was associated with higher CRC risk. The two-step approach revealed a statistically significant G×BMI interaction located within the Formin 1/Gremlin 1 (FMN1/GREM1) gene region (rs58349661). This SNP was also identified by the 3DF test, with a suggestive statistical significance in the 1DF test. Among participants with the CC genotype of rs58349661, overweight and obesity categories were associated with higher CRC risk, whereas null associations were observed across BMI categories in those with the TT genotype. Using data from three large international consortia, this study discovered a locus in the FMN1/GREM1 gene region that interacts with BMI on the association with CRC risk. Further studies should examine the potential mechanisms through which this locus modifies the etiologic link between obesity and CRC.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 5 13%
Lecturer > Senior Lecturer 2 5%
Student > Doctoral Student 2 5%
Student > Bachelor 2 5%
Professor > Associate Professor 2 5%
Other 5 13%
Unknown 21 54%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 11 28%
Biochemistry, Genetics and Molecular Biology 4 10%
Agricultural and Biological Sciences 4 10%
Unknown 20 51%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 August 2023.
All research outputs
#19,681,448
of 24,205,409 outputs
Outputs from Cancer Research
#16,604
of 18,711 outputs
Outputs of similar age
#262,687
of 360,240 outputs
Outputs of similar age from Cancer Research
#80
of 88 outputs
Altmetric has tracked 24,205,409 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 18,711 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.2. This one is in the 5th percentile – i.e., 5% of its peers scored the same or lower than it.
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