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Association of genetic variation in mitotic kinases with breast cancer risk

Overview of attention for article published in Breast Cancer Research and Treatment, April 2009
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  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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30 Mendeley
Title
Association of genetic variation in mitotic kinases with breast cancer risk
Published in
Breast Cancer Research and Treatment, April 2009
DOI 10.1007/s10549-009-0404-3
Pubmed ID
Authors

Xianshu Wang, Zachary S. Fredericksen, Robert A. Vierkant, Matthew L. Kosel, V. Shane Pankratz, James R. Cerhan, Christina Justenhoven, Hiltrud Brauch, GENICA Consortium, Janet E. Olson, Fergus J. Couch

Abstract

An RNAi-based functional screening of mitotic kinases in Drosophila recently identified a number of members of the kinome that are required for normal cell division. Depletion of these kinases resulted in a number of different mitotic abnormalities including spindle malformation, chromosome mis-segregation, centrosome amplification and failure of cytokinesis (Bettencourt-Dias et al. in Nature 432:980-987, 2004). Since mitotic defects are commonly observed in cancer cells, these kinases may contribute to tumor development and/or progression. To investigate whether common genetic variation in the mitotic kinases are associated with breast cancer risk, we genotyped 386 single nucleotide polymorphisms (SNPs) from 44 mitotic kinase genes, in 798 breast cancer cases and 843 unaffected controls from a clinic-based study. A total of 22 SNPs from 13 kinase genes displayed significant associations with breast cancer risk (P(trend) < or = 0.05), including two SNPs from FYN (rs6914091 and rs1465061) that remained of interest after accounting for multiple testing (q = 0.06). These associations were stronger when evaluating cases with estrogen and progesterone receptor positive tumors. In addition, haplotype-based tests identified significant associations with risk for common haplotypes of the MAST2 (P = 0.04) and MAP2K4 (P = 0.006) genes. Although requiring replication, these findings suggest that genetic polymorphisms in mitotic kinases that have been implicated in chromosome instability and aneuploidy may contribute to the development of breast cancer.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Unknown 29 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 27%
Researcher 5 17%
Student > Master 4 13%
Student > Doctoral Student 2 7%
Student > Bachelor 2 7%
Other 3 10%
Unknown 6 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 33%
Biochemistry, Genetics and Molecular Biology 7 23%
Medicine and Dentistry 5 17%
Computer Science 1 3%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 0 0%
Unknown 6 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 07 May 2009.
All research outputs
#5,717,514
of 22,705,019 outputs
Outputs from Breast Cancer Research and Treatment
#1,248
of 4,619 outputs
Outputs of similar age
#26,433
of 92,236 outputs
Outputs of similar age from Breast Cancer Research and Treatment
#8
of 24 outputs
Altmetric has tracked 22,705,019 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 4,619 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has gotten more attention than average, scoring higher than 72% 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 92,236 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 70% of its contemporaries.
We're also able to compare this research output to 24 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 66% of its contemporaries.