Evidence map›Paper›PMID 23114982›Full record

ArticleHuman genetics2013

Genome-wide investigation of gene-environment interactions in colorectal cancer.

Sabine Siegert, Jochen Hampe, Clemens Schafmayer, Witigo von Schönfels, Jan-Hendrik Egberts, Asta Försti, Bowang Chen, Jesús Lascorz, Kari Hemminki, Andre Franke and 3 more

Abstract read
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In one paragraph

Article in Human genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Trial
  6. Article
  7. Practical Considerations in Diagnosing and Managing Early-Onset GI Cancers.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2022
    Article
  8. Article
  9. Article
  10. A Systematic Analysis of Interactions between Environmental Risk Factors and Genetic Variation in Susceptibility to Colorectal Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Article
  11. Article
  12. Meeting report from the joint IARC-NCI international cancer seminar series: a focus on colorectal cancer.Annals of oncology : official journal of the European Society for Medical Oncology · 2019
    Article
  13. Article
  14. Article
  15. ADH1B: From alcoholism, natural selection, and cancer to the human phenome.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2018
    Review
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  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Sabine SiegertSection of Epidemiology, Institute of Experimental Medicine, Christian-Albrechts University Kiel, Kiel, Germany.
Jochen Hampe
Clemens Schafmayer
Witigo von Schönfels
Jan-Hendrik Egberts
Asta Försti
Bowang Chen
Jesús Lascorz
Kari Hemminki
Andre Franke
Michael Nothnagel
Ute Nöthlings
Michael Krawczak

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC), one of the most frequent neoplasias worldwide, has both genetic and environmental causes. As yet, however, gene-environment (G × E) interactions in CRC have been studied mostly for a small number of candidate genes only. Therefore, we investigated the possible interaction, in CRC etiology, between single-nucleotide polymorphisms (SNPs) on the one hand, and overweight, smoking and alcohol consumption on the other, at a genome-wide level. To this end, we adopted a two-tiered approach comprising a case-only screening stage I (314 cases) and a case-control validation stage II (259 cases, 1,002 controls). Interactions with the smallest p value in stage I were verified in stage II using multiple logistic regression analysis adjusted for sex and age. In addition, we specifically studied known CRC-associated SNPs for possible G × E interactions. Upon adjustment for sex and age, and after allowing for multiple testing, however, only a single SNP (rs1944511) was found to be involved in a statistically significant interaction, namely with overweight (multiplicity-corrected p = 0.042 in stage II). Several other G × E interactions were nominally significant but failed correction for multiple testing, including a previously reported interaction between rs9929218 and alcohol consumption that also emerged in our candidate SNP study (nominal p = 0.008). Notably, none of the interactions identified in our genome-wide analysis was with a previously reported CRC-associated SNP. Our study therefore highlights the potential of an "agnostic" genome-wide approach to G × E analysis.

Indexed as

Gene-Environment InteractionGenome-Wide Association StudyAdolescentAdultAgedAged, 80 and overAllelesColorectal NeoplasmsFemaleGene FrequencyGenetic Predisposition to DiseaseGenotypeHumansMaleMiddle AgedPolymorphism, Single Nucleotide

Identifiers

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.