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The genetic heterogeneity of colorectal cancer predisposition - guidelines for gene discovery

Overview of attention for article published in Cellular Oncology, June 2016
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About this Attention Score

  • Among the highest-scoring outputs from this source (#50 of 426)
  • Good Attention Score compared to outputs of the same age (68th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

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1 policy source
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Citations

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Title
The genetic heterogeneity of colorectal cancer predisposition - guidelines for gene discovery
Published in
Cellular Oncology, June 2016
DOI 10.1007/s13402-016-0284-6
Pubmed ID
Authors

M. M. Hahn, R. M. de Voer, N. Hoogerbrugge, M. J. L. Ligtenberg, R. P. Kuiper, A. Geurts van Kessel

Abstract

Colorectal cancer (CRC) is a cumulative term applied to a clinically and genetically heterogeneous group of neoplasms that occur in the bowel. Based on twin studies, up to 45 % of the CRC cases may involve a heritable component. Yet, only in 5-10 % of these cases high-penetrant germline mutations are found (e.g. mutations in APC and DNA mismatch repair genes) that result in a familial aggregation and/or an early onset of the disease. Genome-wide association studies have revealed that another ~5 % of the CRC cases may be explained by a cumulative effect of low-penetrant risk factors. Recent attempts to identify novel genetic factors using whole exome and whole genome sequencing has proven to be difficult since the remaining, yet to be discovered, high penetrant CRC predisposing genes appear to be rare. In addition, most of the moderately penetrant candidate genes identified so far have not been confirmed in independent cohorts. Based on literature examples, we here discuss how careful patient and cohort selection, candidate gene and variant selection, and corroborative evidence may be employed to facilitate the discovery of novel CRC predisposing genes. The picture emerges that the genetic predisposition to CRC is heterogeneous, involving complex interplays between common and rare (inter)genic variants with different penetrances. It is anticipated, however, that the use of large clinically well-defined patient and control datasets, together with improved functional and technical possibilities, will yield enough power to unravel this complex interplay and to generate accurate individualized estimates for the risk to develop CRC.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 1%
Italy 1 1%
Canada 1 1%
Unknown 71 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 18%
Researcher 10 14%
Student > Ph. D. Student 9 12%
Student > Bachelor 9 12%
Student > Postgraduate 4 5%
Other 13 18%
Unknown 16 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 28 38%
Agricultural and Biological Sciences 9 12%
Medicine and Dentistry 9 12%
Nursing and Health Professions 3 4%
Social Sciences 2 3%
Other 5 7%
Unknown 18 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 19 June 2019.
All research outputs
#6,868,513
of 23,999,200 outputs
Outputs from Cellular Oncology
#50
of 426 outputs
Outputs of similar age
#107,557
of 348,020 outputs
Outputs of similar age from Cellular Oncology
#1
of 5 outputs
Altmetric has tracked 23,999,200 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 426 research outputs from this source. They receive a mean Attention Score of 2.7. This one has done well, scoring higher than 87% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 348,020 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them