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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Fine mapping of MHC region in lung cancer highlights independent susceptibility loci by ethnicity
|
|---|---|
| Published in |
Nature Communications, September 2018
|
| DOI | 10.1038/s41467-018-05890-2 |
| Pubmed ID | |
| Authors |
Aida Ferreiro-Iglesias, Corina Lesseur, James McKay, Rayjean J. Hung, Younghun Han, Xuchen Zong, David Christiani, Mattias Johansson, Xiangjun Xiao, Yafang Li, David C. Qian, Xuemei Ji, Geoffrey Liu, Neil Caporaso, Ghislaine Scelo, David Zaridze, Anush Mukeriya, Milica Kontic, Simona Ognjanovic, Jolanta Lissowska, Małgorzata Szołkowska, Beata Swiatkowska, Vladimir Janout, Ivana Holcatova, Ciprian Bolca, Milan Savic, Miodrag Ognjanovic, Stig Egil Bojesen, Xifeng Wu, Demetrios Albanes, Melinda C. Aldrich, Adonina Tardon, Ana Fernandez-Somoano, Guillermo Fernandez-Tardon, Loic Le Marchand, Gadi Rennert, Chu Chen, Jennifer Doherty, Gary Goodman, Heike Bickeböller, H-Erich Wichmann, Angela Risch, Albert Rosenberger, Hongbing Shen, Juncheng Dai, John K. Field, Michael Davies, Penella Woll, M. Dawn Teare, Lambertus A. Kiemeney, Erik H. F. M. van der Heijden, Jian-Min Yuan, Yun-Chul Hong, Aage Haugen, Shanbeh Zienolddiny, Stephen Lam, Ming-Sound Tsao, Mikael Johansson, Kjell Grankvist, Matthew B. Schabath, Angeline Andrew, Eric Duell, Olle Melander, Hans Brunnström, Philip Lazarus, Susanne Arnold, Stacey Slone, Jinyoung Byun, Ahsan Kamal, Dakai Zhu, Maria Teresa Landi, Christopher I. Amos, Paul Brennan |
| Abstract |
Lung cancer has several genetic associations identified within the major histocompatibility complex (MHC); although the basis for these associations remains elusive. Here, we analyze MHC genetic variation among 26,044 lung cancer patients and 20,836 controls densely genotyped across the MHC, using the Illumina Illumina OncoArray or Illumina 660W SNP microarray. We impute sequence variation in classical HLA genes, fine-map MHC associations for lung cancer risk with major histologies and compare results between ethnicities. Independent and novel associations within HLA genes are identified in Europeans including amino acids in the HLA-B*0801 peptide binding groove and an independent HLA-DQB1*06 loci group. In Asians, associations are driven by two independent HLA allele sets that both increase risk in HLA-DQB1*0401 and HLA-DRB1*0701; the latter better represented by the amino acid Ala-104. These results implicate several HLA-tumor peptide interactions as the major MHC factor modulating lung cancer susceptibility. |
X Demographics
The data shown below were collected from the profiles of 44 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 8 | 18% |
| United States | 7 | 16% |
| United Kingdom | 4 | 9% |
| Spain | 2 | 5% |
| Ireland | 2 | 5% |
| Indonesia | 1 | 2% |
| Mexico | 1 | 2% |
| South Africa | 1 | 2% |
| Canada | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 15 | 34% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 26 | 59% |
| Scientists | 12 | 27% |
| Practitioners (doctors, other healthcare professionals) | 4 | 9% |
| Science communicators (journalists, bloggers, editors) | 2 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 88 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 13% |
| Researcher | 10 | 11% |
| Student > Bachelor | 9 | 10% |
| Student > Ph. D. Student | 9 | 10% |
| Professor | 7 | 8% |
| Other | 15 | 17% |
| Unknown | 27 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 23 | 26% |
| Medicine and Dentistry | 16 | 18% |
| Agricultural and Biological Sciences | 6 | 7% |
| Nursing and Health Professions | 3 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 3% |
| Other | 10 | 11% |
| Unknown | 27 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 13 June 2020.
All research outputs
#1,323,004
of 24,654,416 outputs
Outputs from Nature Communications
#19,614
of 53,365 outputs
Outputs of similar age
#28,525
of 345,952 outputs
Outputs of similar age from Nature Communications
#537
of 1,450 outputs
Altmetric has tracked 24,654,416 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 53,365 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 56.0. This one has gotten more attention than average, scoring higher than 63% 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 345,952 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 91% of its contemporaries.
We're also able to compare this research output to 1,450 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 63% of its contemporaries.