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The phenotypic legacy of admixture between modern humans and Neandertals

Overview of attention for article published in Science, February 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 (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Citations

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276 Dimensions

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688 Mendeley
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5 CiteULike
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Title
The phenotypic legacy of admixture between modern humans and Neandertals
Published in
Science, February 2016
DOI 10.1126/science.aad2149
Pubmed ID
Authors

Corinne N Simonti, Benjamin Vernot, Lisa Bastarache, Erwin Bottinger, David S Carrell, Rex L Chisholm, David R Crosslin, Scott J Hebbring, Gail P Jarvik, Iftikhar J Kullo, Rongling Li, Jyotishman Pathak, Marylyn D Ritchie, Dan M Roden, Shefali S Verma, Gerard Tromp, Jeffrey D Prato, William S Bush, Joshua M Akey, Joshua C Denny, John A Capra

Abstract

Many modern human genomes retain DNA inherited from interbreeding with archaic hominins, such as Neandertals, yet the influence of this admixture on human traits is largely unknown. We analyzed the contribution of common Neandertal variants to over 1000 electronic health record (EHR)-derived phenotypes in ~28,000 adults of European ancestry. We discovered and replicated associations of Neandertal alleles with neurological, psychiatric, immunological, and dermatological phenotypes. Neandertal alleles together explained a significant fraction of the variation in risk for depression and skin lesions resulting from sun exposure (actinic keratosis), and individual Neandertal alleles were significantly associated with specific human phenotypes, including hypercoagulation and tobacco use. Our results establish that archaic admixture influences disease risk in modern humans, provide hypotheses about the effects of hundreds of Neandertal haplotypes, and demonstrate the utility of EHR data in evolutionary analyses.

X Demographics

X Demographics

The data shown below were collected from the profiles of 360 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 688 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 14 2%
Portugal 4 <1%
Spain 3 <1%
United Kingdom 3 <1%
Netherlands 2 <1%
Canada 2 <1%
South Africa 2 <1%
Italy 1 <1%
Ireland 1 <1%
Other 6 <1%
Unknown 650 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 159 23%
Researcher 131 19%
Student > Bachelor 84 12%
Student > Master 53 8%
Professor > Associate Professor 39 6%
Other 128 19%
Unknown 94 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 215 31%
Biochemistry, Genetics and Molecular Biology 161 23%
Medicine and Dentistry 51 7%
Social Sciences 25 4%
Arts and Humanities 23 3%
Other 96 14%
Unknown 117 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1671. 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 2024.
All research outputs
#6,559
of 25,759,158 outputs
Outputs from Science
#357
of 83,311 outputs
Outputs of similar age
#73
of 412,104 outputs
Outputs of similar age from Science
#5
of 1,181 outputs
Altmetric has tracked 25,759,158 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 83,311 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 66.0. This one has done particularly well, scoring higher than 99% 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 412,104 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 99% of its contemporaries.
We're also able to compare this research output to 1,181 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.