↓ Skip to main content

Multiancestry association study identifies new asthma risk loci that colocalize with immune-cell enhancer marks

Overview of attention for article published in Nature Genetics, December 2017
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

news
10 news outlets
twitter
75 tweeters
facebook
5 Facebook pages

Citations

dimensions_citation
100 Dimensions

Readers on

mendeley
184 Mendeley
Title
Multiancestry association study identifies new asthma risk loci that colocalize with immune-cell enhancer marks
Published in
Nature Genetics, December 2017
DOI 10.1038/s41588-017-0014-7
Pubmed ID
Authors

Florence Demenais, Patricia Margaritte-Jeannin, Kathleen C. Barnes, William O. C. Cookson, Janine Altmüller, Wei Ang, R. Graham Barr, Terri H. Beaty, Allan B. Becker, John Beilby, Hans Bisgaard, Unnur Steina Bjornsdottir, Eugene Bleecker, Klaus Bønnelykke, Dorret I. Boomsma, Emmanuelle Bouzigon, Christopher E. Brightling, Myriam Brossard, Guy G. Brusselle, Esteban Burchard, Kristin M. Burkart, Andrew Bush, Moira Chan-Yeung, Kian Fan Chung, Alexessander Couto Alves, John A. Curtin, Adnan Custovic, Denise Daley, Johan C. de Jongste, Blanca E. Del-Rio-Navarro, Kathleen M. Donohue, Liesbeth Duijts, Celeste Eng, Johan G. Eriksson, Martin Farrall, Yuliya Fedorova, Bjarke Feenstra, Manuel A. Ferreira, Maxim B. Freidin, Zofia Gajdos, Jim Gauderman, Ulrike Gehring, Frank Geller, Jon Genuneit, Sina A. Gharib, Frank Gilliland, Raquel Granell, Penelope E. Graves, Daniel F. Gudbjartsson, Tari Haahtela, Susan R. Heckbert, Dick Heederik, Joachim Heinrich, Markku Heliövaara, John Henderson, Blanca E. Himes, Hiroshi Hirose, Joel N. Hirschhorn, Albert Hofman, Patrick Holt, Jouke Hottenga, Thomas J. Hudson, Jennie Hui, Medea Imboden, Vladimir Ivanov, Vincent W. V. Jaddoe, Alan James, Christer Janson, Marjo-Riitta Jarvelin, Deborah Jarvis, Graham Jones, Ingileif Jonsdottir, Pekka Jousilahti, Michael Kabesch, Mika Kähönen, David B. Kantor, Alexandra S. Karunas, Elza Khusnutdinova, Gerard H. Koppelman, Anita L. Kozyrskyj, Eskil Kreiner, Michiaki Kubo, Rajesh Kumar, Ashish Kumar, Mikko Kuokkanen, Lies Lahousse, Tarja Laitinen, Catherine Laprise, Mark Lathrop, Susanne Lau, Young-Ae Lee, Terho Lehtimäki, Sébastien Letort, Albert M. Levin, Guo Li, Liming Liang, Laura R. Loehr, Stephanie J. London, Daan W. Loth, Ani Manichaikul, Ingo Marenholz, Fernando J. Martinez, Melanie C. Matheson, Rasika A. Mathias, Kenji Matsumoto, Hamdi Mbarek, Wendy L. McArdle, Mads Melbye, Erik Melén, Deborah Meyers, Sven Michel, Hamida Mohamdi, Arthur W. Musk, Rachel A. Myers, Maartje A. E. Nieuwenhuis, Emiko Noguchi, George T. O’Connor, Ludmila M. Ogorodova, Cameron D. Palmer, Aarno Palotie, Julie E. Park, Craig E. Pennell, Göran Pershagen, Alexey Polonikov, Dirkje S. Postma, Nicole Probst-Hensch, Valery P. Puzyrev, Benjamin A. Raby, Olli T. Raitakari, Adaikalavan Ramasamy, Stephen S. Rich, Colin F. Robertson, Isabelle Romieu, Muhammad T. Salam, Veikko Salomaa, Vivi Schlünssen, Robert Scott, Polina A. Selivanova, Torben Sigsgaard, Angela Simpson, Valérie Siroux, Lewis J. Smith, Maria Solodilova, Marie Standl, Kari Stefansson, David P. Strachan, Bruno H. Stricker, Atsushi Takahashi, Philip J. Thompson, Gudmar Thorleifsson, Unnur Thorsteinsdottir, Carla M. T. Tiesler, Dara G. Torgerson, Tatsuhiko Tsunoda, André G. Uitterlinden, Ralf J. P. van der Valk, Amaury Vaysse, Sailaja Vedantam, Andrea von Berg, Erika von Mutius, Judith M. Vonk, Johannes Waage, Nick J. Wareham, Scott T. Weiss, Wendy B. White, Magnus Wickman, Elisabeth Widén, Gonneke Willemsen, L. Keoki Williams, Inge M. Wouters, James J. Yang, Jing Hua Zhao, Miriam F. Moffatt, Carole Ober, Dan L. Nicolae

Abstract

We examined common variation in asthma risk by conducting a meta-analysis of worldwide asthma genome-wide association studies (23,948 asthma cases, 118,538 controls) of individuals from ethnically diverse populations. We identified five new asthma loci, found two new associations at two known asthma loci, established asthma associations at two loci previously implicated in the comorbidity of asthma plus hay fever, and confirmed nine known loci. Investigation of pleiotropy showed large overlaps in genetic variants with autoimmune and inflammatory diseases. The enrichment in enhancer marks at asthma risk loci, especially in immune cells, suggested a major role of these loci in the regulation of immunologically related mechanisms.

Twitter Demographics

The data shown below were collected from the profiles of 75 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 184 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 184 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 37 20%
Student > Ph. D. Student 34 18%
Student > Bachelor 19 10%
Student > Master 17 9%
Student > Doctoral Student 11 6%
Other 40 22%
Unknown 26 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 41 22%
Medicine and Dentistry 38 21%
Agricultural and Biological Sciences 28 15%
Pharmacology, Toxicology and Pharmaceutical Science 8 4%
Immunology and Microbiology 7 4%
Other 21 11%
Unknown 41 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 117. 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 18 April 2019.
All research outputs
#148,374
of 14,330,364 outputs
Outputs from Nature Genetics
#419
of 6,307 outputs
Outputs of similar age
#7,084
of 398,452 outputs
Outputs of similar age from Nature Genetics
#23
of 61 outputs
Altmetric has tracked 14,330,364 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 6,307 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 33.2. This one has done particularly well, scoring higher than 93% 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 398,452 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 98% of its contemporaries.
We're also able to compare this research output to 61 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 62% of its contemporaries.