Evidence map›Paper›PMID 24373140›Full record

ArticleHereditary cancer in clinical practice2013

The importance of a large sample cohort for studies on modifier genes influencing disease severity in FAP patients.

Bente A Talseth-Palmer, Juul T Wijnen, Eva K Andreassen, Daniel Barker, Shantie Jagmohan-Changur, Carli M Tops, Cliff Meldrum, Dutch Cancer Genetics Group, Allan Spigelman, Frederik J Hes and 3 more

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Article in Hereditary cancer in clinical practice, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 25% of its field
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 13 citations in OpenAlex.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

13 authors at 6 institutions in 3 countries.

Bente A Talseth-PalmerSchool of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, Australia. Bente.Talseth-Palmer@newcastle.edu.au.
Juul T Wijnen
Eva K Andreassen
Daniel Barker
Shantie Jagmohan-Changur
Carli M Tops
Cliff Meldrum
Dutch Cancer Genetics Group
Allan Spigelman
Frederik J Hes
Tom Van Wezel
Hans Fa Vasen
Rodney J Scott
Leiden University · NLHunter New England Local Health District · AUJohn Hunter Hospital · AUNetherlands Consortium for Healthy Ageing · NLUniversity of Newcastle Australia · AUUniversity of Oslo · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFamilial adenomatous polyposis (FAP) is usually characterised by the appearance of hundreds-to-thousands of adenomas throughout the colon and rectum and if left untreated the condition will develop into CRC with close to 100% penetrance. Germline mutations in the APC gene, which plays an integral role in the Wnt-signalling pathway, have been found to be responsible for 70-90% of FAP cases. Several studies suggest that modifier genes may play an important role in the development of CRC and possible modifiers for FAP have been suggested. Interestingly, a study has found that SNPs within ATP5A1 is associated with raised levels of ATP5A1 expression and high expression levels may facilitate CRC development. We aimed to determine if SNPs in ATP5A1 modify the risk of developing CRC/adenomas in FAP patients.

methodsGenomic DNA from 139 Australian FAP patients with a germline APC mutation underwent genotyping at the Australian Genome Research Facility (AGRF) utilising iPLEX GOLD chemistry with Sequenom MassArray on an Autoflex Spectrometer for 16 SNPs in the ATP5A1 gene. Association between ages of diagnosis/risk of CRC/adenomas was tested with Kaplan-Meier estimator analysis, logistic regression and cox proportional hazard regression.

resultsAn association between age of diagnosis of CRC and genotypes was observed for SNP rs2578189 (p = 0.0014), with individuals harbouring the variant genotype developing CRC 29 years earlier than individuals harbouring the wildtype genotype. Individuals harbouring the variant genotype of SNP rs2578189 were also at increased risk of CRC (HR = 13.79, 95% CI = 2.36-80.64, p = 0.004). We used an independent Dutch FAP cohort (n = 427) to validate our results; no association between SNP rs2578189 and CRC was observed.

conclusionThese results highlight the difficulties in studying a disease that has a high degree of intervention and also emphasize the importance of large sample sizes when searching for modifier genes in patients with an inherited predisposition to disease. To fully determine if there are genetic modifiers of disease in FAP we would encourage people that are interested in collaborating in future studies into the role of modifier genes in disease expression in FAP to join forces.

Identifiers

PMID24373140
PMCPMC3907148
OpenAlexW2150399489

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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.