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No Association of Coronary Artery Disease with X-Chromosomal Variants in Comprehensive International Meta-Analysis

Overview of attention for article published in Scientific Reports, October 2016
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
3 news outlets
blogs
1 blog
twitter
16 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
45 Mendeley
citeulike
2 CiteULike
Title
No Association of Coronary Artery Disease with X-Chromosomal Variants in Comprehensive International Meta-Analysis
Published in
Scientific Reports, October 2016
DOI 10.1038/srep35278
Pubmed ID
Authors

Christina Loley, Maris Alver, Themistocles L. Assimes, Andrew Bjonnes, Anuj Goel, Stefan Gustafsson, Jussi Hernesniemi, Jemma C. Hopewell, Stavroula Kanoni, Marcus E. Kleber, King Wai Lau, Yingchang Lu, Leo-Pekka Lyytikäinen, Christopher P. Nelson, Majid Nikpay, Liming Qu, Elias Salfati, Markus Scholz, Taru Tukiainen, Christina Willenborg, Hong-Hee Won, Lingyao Zeng, Weihua Zhang, Sonia S. Anand, Frank Beutner, Erwin P. Bottinger, Robert Clarke, George Dedoussis, Ron Do, Tõnu Esko, Markku Eskola, Martin Farrall, Dominique Gauguier, Vilmantas Giedraitis, Christopher B. Granger, Alistair S. Hall, Anders Hamsten, Stanley L. Hazen, Jie Huang, Mika Kähönen, Theodosios Kyriakou, Reijo Laaksonen, Lars Lind, Cecilia Lindgren, Patrik K. E. Magnusson, Eirini Marouli, Evelin Mihailov, Andrew P. Morris, Kjell Nikus, Nancy Pedersen, Loukianos Rallidis, Veikko Salomaa, Svati H. Shah, Alexandre F. R. Stewart, John R. Thompson, Pierre A. Zalloua, John C. Chambers, Rory Collins, Erik Ingelsson, Carlos Iribarren, Pekka J. Karhunen, Jaspal S. Kooner, Terho Lehtimäki, Ruth J. F. Loos, Winfried März, Ruth McPherson, Andres Metspalu, Muredach P. Reilly, Samuli Ripatti, Dharambir K. Sanghera, Joachim Thiery, Hugh Watkins, Panos Deloukas, Sekar Kathiresan, Nilesh J. Samani, Heribert Schunkert, Jeanette Erdmann, Inke R. König

Abstract

In recent years, genome-wide association studies have identified 58 independent risk loci for coronary artery disease (CAD) on the autosome. However, due to the sex-specific data structure of the X chromosome, it has been excluded from most of these analyses. While females have 2 copies of chromosome X, males have only one. Also, one of the female X chromosomes may be inactivated. Therefore, special test statistics and quality control procedures are required. Thus, little is known about the role of X-chromosomal variants in CAD. To fill this gap, we conducted a comprehensive X-chromosome-wide meta-analysis including more than 43,000 CAD cases and 58,000 controls from 35 international study cohorts. For quality control, sex-specific filters were used to adequately take the special structure of X-chromosomal data into account. For single study analyses, several logistic regression models were calculated allowing for inactivation of one female X-chromosome, adjusting for sex and investigating interactions between sex and genetic variants. Then, meta-analyses including all 35 studies were conducted using random effects models. None of the investigated models revealed genome-wide significant associations for any variant. Although we analyzed the largest-to-date sample, currently available methods were not able to detect any associations of X-chromosomal variants with CAD.

Twitter Demographics

The data shown below were collected from the profiles of 16 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 2%
United Kingdom 1 2%
Unknown 43 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 20%
Professor 8 18%
Student > Ph. D. Student 8 18%
Librarian 4 9%
Other 4 9%
Other 9 20%
Unknown 3 7%
Readers by discipline Count As %
Medicine and Dentistry 18 40%
Agricultural and Biological Sciences 6 13%
Biochemistry, Genetics and Molecular Biology 4 9%
Mathematics 2 4%
Social Sciences 2 4%
Other 4 9%
Unknown 9 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 38. 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 08 November 2017.
All research outputs
#364,636
of 12,114,099 outputs
Outputs from Scientific Reports
#4,189
of 54,009 outputs
Outputs of similar age
#15,703
of 260,964 outputs
Outputs of similar age from Scientific Reports
#309
of 3,151 outputs
Altmetric has tracked 12,114,099 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 54,009 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one has done particularly well, scoring higher than 92% 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 260,964 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 93% of its contemporaries.
We're also able to compare this research output to 3,151 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 90% of its contemporaries.