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Analysis of SNPs and Haplotypes in Vitamin D Pathway Genes and Renal Cancer Risk

Overview of attention for article published in PLOS ONE, September 2009
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Citations

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47 Mendeley
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Title
Analysis of SNPs and Haplotypes in Vitamin D Pathway Genes and Renal Cancer Risk
Published in
PLOS ONE, September 2009
DOI 10.1371/journal.pone.0007013
Pubmed ID
Authors

Sara Karami, Paul Brennan, Philip S. Rosenberg, Marie Navratilova, Dana Mates, David Zaridze, Vladimir Janout, Helena Kollarova, Vladimir Bencko, Vsevolod Matveev, Neonila Szeszenia-Dabrowska, Ivana Holcatova, Meredith Yeager, Stephen Chanock, Idan Menashe, Nathaniel Rothman, Wong-Ho Chow, Paolo Boffetta, Lee E. Moore

Abstract

In the kidney vitamin D is converted to its active form. Since vitamin D exerts its activity through binding to the nuclear vitamin D receptor (VDR), most genetic studies have primarily focused on variation within this gene. Therefore, analysis of genetic variation in VDR and other vitamin D pathway genes may provide insight into the role of vitamin D in renal cell carcinoma (RCC) etiology. RCC cases (N = 777) and controls (N = 1,035) were genotyped to investigate the relationship between RCC risk and variation in eight target genes. Minimum-p-value permutation (Min-P) tests were used to identify genes associated with risk. A three single nucleotide polymorphism (SNP) sliding window was used to identify chromosomal regions with a False Discovery Rate of <10%, where subsequently, haplotype relative risks were computed in Haplostats. Min-P values showed that VDR (p-value = 0.02) and retinoid-X-receptor-alpha (RXRA) (p-value = 0.10) were associated with RCC risk. Within VDR, three haplotypes across two chromosomal regions of interest were identified. The first region, located within intron 2, contained two haplotypes that increased RCC risk by approximately 25%. The second region included a haplotype (rs2239179, rs12717991) across intron 4 that increased risk among participants with the TC (OR = 1.31, 95% CI = 1.09-1.57) haplotype compared to participants with the common haplotype, TT. Across RXRA, one haplotype located 3' of the coding sequence (rs748964, rs3118523), increased RCC risk 35% among individuals with the variant haplotype compared to those with the most common haplotype. This study comprehensively evaluated genetic variation across eight vitamin D pathway genes in relation to RCC risk. We found increased risk associated with VDR and RXRA. Replication studies are warranted to confirm these findings.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 4%
Norway 1 2%
Germany 1 2%
Brazil 1 2%
Uruguay 1 2%
Unknown 41 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 28%
Student > Ph. D. Student 7 15%
Professor 6 13%
Student > Master 6 13%
Student > Bachelor 3 6%
Other 8 17%
Unknown 4 9%
Readers by discipline Count As %
Medicine and Dentistry 13 28%
Agricultural and Biological Sciences 12 26%
Biochemistry, Genetics and Molecular Biology 5 11%
Immunology and Microbiology 2 4%
Nursing and Health Professions 1 2%
Other 4 9%
Unknown 10 21%
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 10 December 2010.
All research outputs
#6,377,613
of 22,660,862 outputs
Outputs from PLOS ONE
#76,338
of 193,497 outputs
Outputs of similar age
#28,573
of 92,400 outputs
Outputs of similar age from PLOS ONE
#224
of 500 outputs
Altmetric has tracked 22,660,862 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 193,497 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has gotten more attention than average, scoring higher than 59% 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 92,400 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 66% of its contemporaries.
We're also able to compare this research output to 500 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.