You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Common variants at the CHEK2 gene locus and risk of epithelial ovarian cancer
|
|---|---|
| Published in |
Carcinogenesis, September 2015
|
| DOI | 10.1093/carcin/bgv138 |
| Pubmed ID | |
| Authors |
Kate Lawrenson, Edwin S. Iversen, Jonathan Tyrer, Rachel Palmieri Weber, Patrick Concannon, Dennis J. Hazelett, Qiyuan Li, Jeffrey R. Marks, Andrew Berchuck, Janet M. Lee, Katja K.H. Aben, Hoda Anton-Culver, Natalia Antonenkova, Elisa V. Bandera, Yukie Bean, Matthias W. Beckmann, Maria Bisogna, Line Bjorge, Natalia Bogdanova, Louise A. Brinton, Angela Brooks-Wilson, Fiona Bruinsma, Ralf Butzow, Ian G. Campbell, Karen Carty, Jenny Chang-Claude, Georgia Chenevix-Trench, Ann Chen, Zhihua Chen, Linda S. Cook, Daniel W. Cramer, Julie M. Cunningham, Cezary Cybulski, Joanna Plisiecka-Halasa, Joe Dennis, Ed Dicks, Jennifer A. Doherty, Thilo Dörk, Andreas du Bois, Diana Eccles, Douglas T. Easton, Robert P. Edwards, Ursula Eilber, Arif B. Ekici, Peter A. Fasching, Brooke L. Fridley, Yu-Tang Gao, Aleksandra Gentry-Maharaj, Graham G. Giles, Rosalind Glasspool, Ellen L. Goode, Marc T. Goodman, Jacek Gronwald, Philipp Harter, Hanis Nazihah Hasmad, Alexander Hein, Florian Heitz, Michelle A.T. Hildebrandt, Peter Hillemanns, Estrid Hogdall, Claus Hogdall, Satoyo Hosono, Anna Jakubowska, James Paul, Allan Jensen, Beth Y. Karlan, Susanne Kruger Kjaer, Linda E. Kelemen, Melissa Kellar, Joseph L. Kelley, Lambertus A. Kiemeney, Camilla Krakstad, Diether Lambrechts, Sandrina Lambrechts, Nhu D. Le, Alice W. Lee, Rikki Cannioto, Arto Leminen, Jenny Lester, Douglas A. Levine, Dong Liang, Jolanta Lissowska, Karen Lu, Jan Lubinski, Lene Lundvall, Leon F.A.G. Massuger, Keitaro Matsuo, Valerie McGuire, John R. McLaughlin, Heli Nevanlinna, Iain McNeish, Usha Menon, Francesmary Modugno, Kirsten B. Moysich, Steven A. Narod, Lotte Nedergaard, Roberta B. Ness, Mat Adenan Noor Azmi, Kunle Odunsi, Sara H. Olson, Irene Orlow, Sandra Orsulic, Celeste L. Pearce, Tanja Pejovic, Liisa M. Pelttari, Jennifer Permuth-Wey, Catherine M. Phelan, Malcolm C. Pike, Elizabeth M. Poole, Susan J. Ramus, Harvey A. Risch, Barry Rosen, Mary Anne Rossing, Joseph H. Rothstein, Anja Rudolph, Ingo B. Runnebaum, Iwona K. Rzepecka, Helga B. Salvesen, Agnieszka Budzilowska, Thomas A. Sellers, Xiao-Ou Shu, Yurii B. Shvetsov, Nadeem Siddiqui, Weiva Sieh, Honglin Song, Melissa C. Southey, Lara Sucheston, Ingvild L. Tangen, Soo-Hwang Teo, Kathryn L. Terry, Pamela J. Thompson, Agnieszka Timorek, Shelley S. Tworoger, Els Van Nieuwenhuysen, Ignace Vergote, Robert A. Vierkant, Shan Wang-Gohrke, Christine Walsh, Nicolas Wentzensen, Alice S. Whittemore, Kristine G. Wicklund, Lynne R. Wilkens, Yin-Ling Woo, Xifeng Wu, Anna H. Wu, Hannah Yang, Wei Zheng, Argyrios Ziogas, Gerhard A. Coetzee, Matthew L. Freedman, Alvaro N.A. Monteiro, Joanna Moes-Sosnowska, Jolanta Kupryjanczyk, Paul D. Pharoah, Simon A. Gayther, Joellen M. Schildkraut |
| Abstract |
Genome-wide association studies have identified 20 genomic regions associated with risk of epithelial ovarian cancer (EOC), but many additional risk variants may exist. Here we evaluated associations between common genetic variants (single nucleotide polymorphisms (SNPs) and indels) in DNA repair genes and EOC risk. We genotyped 2896 common variants at 143 gene loci in DNA samples from 15,397 patients with invasive EOC and controls. We found evidence of associations with EOC risk for variants at FANCA, EXO1, E2F4, E2F2, CREB5 and CHEK2 genes (P ≤ 0.001). The strongest risk association was for CHEK2 SNP rs17507066 with serous EOC (P = 4.74 x 10(-7)). Additional genotyping and imputation of genotypes from the 1000 genomes project identified a slightly more significant association for CHEK2 SNP rs6005807 (r(2) with rs17507066=0.84, odds ratio (OR) 1.17, 95% CI 1.11-1.24, P = 1.1 x10(-7)). We identified 293 variants in the region with likelihood ratios of less than 1:100 for representing the causal variant. Functional annotation identified 25 candidate SNPs that alter transcription factor binding sites within regulatory elements active in EOC precursor tissues. In The Cancer Genome Atlas dataset CHEK2 gene expression was significantly higher in primary EOCs compared to normal fallopian tube tissues (P = 3.72x10(-8)). We also identified an association between genotypes of the candidate causal SNP rs12166475 (r(2) = 0.99 with rs6005807) and CHEK2 expression (P = 2.70 x 10(-8)). These data suggest that common variants at 22q11.2 are associated with risk of serous EOC and CHEK2 as a plausible target susceptibility gene. |
X Demographics
The data shown below were collected from the profiles of 6 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 States | 3 | 50% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 1 | 1% |
| Unknown | 85 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 22% |
| Professor | 9 | 10% |
| Student > Master | 8 | 9% |
| Student > Bachelor | 6 | 7% |
| Other | 6 | 7% |
| Other | 14 | 16% |
| Unknown | 24 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 23 | 27% |
| Medicine and Dentistry | 14 | 16% |
| Agricultural and Biological Sciences | 9 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 3% |
| Social Sciences | 3 | 3% |
| Other | 5 | 6% |
| Unknown | 29 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 11 January 2021.
All research outputs
#7,753,975
of 23,577,654 outputs
Outputs from Carcinogenesis
#1,678
of 4,819 outputs
Outputs of similar age
#93,953
of 275,663 outputs
Outputs of similar age from Carcinogenesis
#9
of 31 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,819 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
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 275,663 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 56% of its contemporaries.
We're also able to compare this research output to 31 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 64% of its contemporaries.