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Fine-mapping identifies two additional breast cancer susceptibility loci at 9q31.2

Overview of attention for article published in Human Molecular Genetics, February 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#34 of 6,204)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

7 news outlets
3 blogs
5 tweeters
1 Facebook page
1 Redditor


28 Dimensions

Readers on

98 Mendeley
1 CiteULike
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Fine-mapping identifies two additional breast cancer susceptibility loci at 9q31.2
Published in
Human Molecular Genetics, February 2015
DOI 10.1093/hmg/ddv035
Pubmed ID

N. Orr, F. Dudbridge, N. Dryden, S. Maguire, D. Novo, E. Perrakis, N. Johnson, M. Ghoussaini, J. L. Hopper, M. C. Southey, C. Apicella, J. Stone, M. K. Schmidt, A. Broeks, L. J. Van't Veer, F. B. Hogervorst, P. A. Fasching, L. Haeberle, A. B. Ekici, M. W. Beckmann, L. Gibson, Z. Aitken, H. Warren, E. Sawyer, I. Tomlinson, M. J. Kerin, N. Miller, B. Burwinkel, F. Marme, A. Schneeweiss, C. Sohn, P. Guenel, T. Truong, E. Cordina-Duverger, M. Sanchez, S. E. Bojesen, B. G. Nordestgaard, S. F. Nielsen, H. Flyger, J. Benitez, M. P. Zamora, J. I. Arias Perez, P. Menendez, H. Anton-Culver, S. L. Neuhausen, H. Brenner, A. K. Dieffenbach, V. Arndt, C. Stegmaier, U. Hamann, H. Brauch, C. Justenhoven, T. Bruning, Y.-D. Ko, H. Nevanlinna, K. Aittomaki, C. Blomqvist, S. Khan, N. Bogdanova, T. Dork, A. Lindblom, S. Margolin, A. Mannermaa, V. Kataja, V.-M. Kosma, J. M. Hartikainen, G. Chenevix-Trench, J. Beesley, D. Lambrechts, M. Moisse, G. Floris, B. Beuselinck, J. Chang-Claude, A. Rudolph, P. Seibold, D. Flesch-Janys, P. Radice, P. Peterlongo, B. Peissel, V. Pensotti, F. J. Couch, J. E. Olson, S. Slettedahl, C. Vachon, G. G. Giles, R. L. Milne, C. McLean, C. A. Haiman, B. E. Henderson, F. Schumacher, L. Le Marchand, J. Simard, M. S. Goldberg, F. Labreche, M. Dumont, V. Kristensen, G. G. Alnaes, S. Nord, A.-L. Borresen-Dale, W. Zheng, S. Deming-Halverson, M. Shrubsole, J. Long, R. Winqvist, K. Pylkas, A. Jukkola-Vuorinen, M. Grip, I. L. Andrulis, J. A. Knight, G. Glendon, S. Tchatchou, P. Devilee, R. A. E. M. Tollenaar, C. M. Seynaeve, C. J. Van Asperen, M. Garcia-Closas, J. Figueroa, S. J. Chanock, J. Lissowska, K. Czene, H. Darabi, M. Eriksson, D. Klevebring, M. J. Hooning, A. Hollestelle, C. H. M. van Deurzen, M. Kriege, P. Hall, J. Li, J. Liu, K. Humphreys, A. Cox, S. S. Cross, M. W. R. Reed, P. D. P. Pharoah, A. M. Dunning, M. Shah, B. J. Perkins, A. Jakubowska, J. Lubinski, K. Jaworska-Bieniek, K. Durda, A. Ashworth, A. Swerdlow, M. Jones, M. J. Schoemaker, A. Meindl, R. K. Schmutzler, C. Olswold, S. Slager, A. E. Toland, D. Yannoukakos, K. Muir, A. Lophatananon, S. Stewart-Brown, P. Siriwanarangsan, K. Matsuo, H. Ito, H. Iwata, J. Ishiguro, A. H. Wu, C.-c. Tseng, D. Van Den Berg, D. O. Stram, S. H. Teo, C. H. Yip, P. Kang, M. K. Ikram, X.-O. Shu, W. Lu, Y.-T. Gao, H. Cai, D. Kang, J.-Y. Choi, S. K. Park, D.-Y. Noh, M. Hartman, H. Miao, W. Y. Lim, S. C. Lee, S. Sangrajrang, V. Gaborieau, P. Brennan, J. Mckay, P.-E. Wu, M.-F. Hou, J.-C. Yu, C.-Y. Shen, W. Blot, Q. Cai, L. B. Signorello, C. Luccarini, C. Bayes, S. Ahmed, M. Maranian, C. S. Healey, A. Gonzalez-Neira, G. Pita, M. R. Alonso, N. Alvarez, D. Herrero, D. C. Tessier, D. Vincent, F. Bacot, D. J. Hunter, S. Lindstrom, J. Dennis, K. Michailidou, M. K. Bolla, D. F. Easton, I. dos Santos Silva, O. Fletcher, J. Peto


We recently identified a novel susceptibility variant, rs865686, for estrogen-receptor positive breast cancer at 9q31.2. Here, we report a fine-mapping analysis of the 9q31.2 susceptibility locus using 43,160 cases and 42,600 controls of European ancestry ascertained from 52 studies and a further 5,795 cases and 6,624 controls of Asian ancestry from nine studies. Single nucleotide polymorphism (SNP) rs676256 was most strongly associated with risk in Europeans (OR=0.90 [0.88-0.92]; P-value=1.58 x 10(-25)). This SNP is one of a cluster of highly correlated variants, including rs865686, that spans approximately 14.5 Kb. We identified two additional independent association signals demarcated by SNPs rs10816625 (OR=1.12 [1.08-1.17]; P-value=7.89 x 10(-09)) and rs13294895 (OR=1.09 [1.06-1.12]; P-value=2.97 x 10(-11)). SNP rs10816625, but not rs13294895, was also associated with risk of breast cancer in Asian individuals (OR=1.12 [1.06-1.18]; P-value=2.77 x 10(-05)). Functional genomic annotation using data derived from breast cancer cell-line models indicates that these SNPs localise to putative enhancer elements that bind known drivers of hormone dependent breast cancer, including ER-α, FOXA1 and GATA-3. In vitro analyses indicate that rs10816625 and rs13294895 have allele-specific effects on enhancer activity and suggest chromatin interactions with the KLF4 gene locus. These results demonstrate the power of dense genotyping in large studies to identify independent susceptibility variants. Analysis of associations using subjects with different ancestry, combined with bioinformatic and genomic characterisation, can provide strong evidence for the likely causative alleles and their functional basis.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Finland 1 1%
Spain 1 1%
Brazil 1 1%
Unknown 93 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 20%
Professor 15 15%
Student > Ph. D. Student 10 10%
Student > Master 9 9%
Other 6 6%
Other 20 20%
Unknown 18 18%
Readers by discipline Count As %
Medicine and Dentistry 35 36%
Biochemistry, Genetics and Molecular Biology 16 16%
Agricultural and Biological Sciences 15 15%
Social Sciences 3 3%
Business, Management and Accounting 2 2%
Other 5 5%
Unknown 22 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 75. 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 31 July 2015.
All research outputs
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Outputs from Human Molecular Genetics
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Outputs of similar age from Human Molecular Genetics
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Altmetric has tracked 12,025,923 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 6,204 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done particularly well, scoring higher than 99% of its peers.
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We're also able to compare this research output to 118 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.