| Title |
Modeling the prevention of colorectal cancer from the combined impact of host and behavioral risk factors
|
|---|---|
| Published in |
Genetics in Medicine, August 2016
|
| DOI | 10.1038/gim.2016.101 |
| Pubmed ID | |
| Authors |
Matthew Frampton, Richard S. Houlston |
| Abstract |
This study investigated the utility of modeling modifiable lifestyle risk factors in addition to genetic variation in colorectal cancer (CRC) screening/prevention. We derived a polygenic risk score for CRC susceptibility variants in combination with the established nongenetic risk factors of inflammatory bowel disease (IBD), adiposity, alcohol, red meat, fruit, vegetables, smoking, physical activity, and aspirin. We used the 37 known risk variants and 50 and 100% of all risk variants as calculated from a heritability estimate. We derived absolute risk from UK population age structure, incidence, and mortality rate data. Taking into account all risk factors (known variants), 42.2% of 55- to 59-year-old men with CRC have a risk at least as high as that of an average 60-year-old, the minimum eligible age for the UK NHS National Bowel Cancer Screening Program. If the male population is stratified by known variants and IBD status, then risk-difference estimates imply that for 10,000 50-year-old men in the 99th percentile, 760 cases could be prevented over a 25-year period through the modifiable risk factors, but in the lowest percentile, only 90 could be prevented. CRC screening and prevention centered on modifiable risk factors could be optimized if targeted at individuals at higher polygenic risk.Genet Med advance online publication 04 August 2016Genetics in Medicine (2016); doi:10.1038/gim.2016.101. |
X Demographics
The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 27% |
| United States | 3 | 20% |
| Canada | 2 | 13% |
| Unknown | 6 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 60% |
| Scientists | 3 | 20% |
| Practitioners (doctors, other healthcare professionals) | 2 | 13% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
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 % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Unknown | 73 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 18% |
| Student > Bachelor | 10 | 14% |
| Student > Master | 9 | 12% |
| Student > Ph. D. Student | 5 | 7% |
| Other | 3 | 4% |
| Other | 9 | 12% |
| Unknown | 25 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 18 | 24% |
| Biochemistry, Genetics and Molecular Biology | 9 | 12% |
| Nursing and Health Professions | 6 | 8% |
| Psychology | 4 | 5% |
| Social Sciences | 3 | 4% |
| Other | 6 | 8% |
| Unknown | 28 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 100. 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 01 November 2016.
All research outputs
#424,152
of 25,394,764 outputs
Outputs from Genetics in Medicine
#89
of 2,945 outputs
Outputs of similar age
#8,600
of 381,931 outputs
Outputs of similar age from Genetics in Medicine
#6
of 50 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,945 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.0. This one has done particularly well, scoring higher than 96% 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 381,931 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.