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Genome-wide association study of CNVs in 16,000 cases of eight common diseases and 3,000 shared controls

Overview of attention for article published in Nature, April 2010
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Citations

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706 Dimensions

Readers on

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984 Mendeley
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21 CiteULike
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5 Connotea
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Title
Genome-wide association study of CNVs in 16,000 cases of eight common diseases and 3,000 shared controls
Published in
Nature, April 2010
DOI 10.1038/nature08979
Pubmed ID
Abstract

Copy number variants (CNVs) account for a major proportion of human genetic polymorphism and have been predicted to have an important role in genetic susceptibility to common disease. To address this we undertook a large, direct genome-wide study of association between CNVs and eight common human diseases. Using a purpose-designed array we typed approximately 19,000 individuals into distinct copy-number classes at 3,432 polymorphic CNVs, including an estimated approximately 50% of all common CNVs larger than 500 base pairs. We identified several biological artefacts that lead to false-positive associations, including systematic CNV differences between DNAs derived from blood and cell lines. Association testing and follow-up replication analyses confirmed three loci where CNVs were associated with disease-IRGM for Crohn's disease, HLA for Crohn's disease, rheumatoid arthritis and type 1 diabetes, and TSPAN8 for type 2 diabetes-although in each case the locus had previously been identified in single nucleotide polymorphism (SNP)-based studies, reflecting our observation that most common CNVs that are well-typed on our array are well tagged by SNPs and so have been indirectly explored through SNP studies. We conclude that common CNVs that can be typed on existing platforms are unlikely to contribute greatly to the genetic basis of common human diseases.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 984 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 22 2%
United States 19 2%
Germany 11 1%
Brazil 6 <1%
Canada 6 <1%
Australia 4 <1%
China 4 <1%
Spain 3 <1%
Netherlands 3 <1%
Other 25 3%
Unknown 881 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 262 27%
Student > Ph. D. Student 218 22%
Professor > Associate Professor 81 8%
Professor 71 7%
Student > Master 66 7%
Other 194 20%
Unknown 92 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 432 44%
Medicine and Dentistry 152 15%
Biochemistry, Genetics and Molecular Biology 134 14%
Computer Science 40 4%
Mathematics 20 2%
Other 96 10%
Unknown 110 11%
Attention Score in Context

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 27 June 2023.
All research outputs
#1,095,407
of 25,837,817 outputs
Outputs from Nature
#33,316
of 98,779 outputs
Outputs of similar age
#3,322
of 106,884 outputs
Outputs of similar age from Nature
#120
of 598 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 98,779 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.5. This one has gotten more attention than average, scoring higher than 66% 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 106,884 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 95% of its contemporaries.
We're also able to compare this research output to 598 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.