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Genome‐wide analysis identifies an african‐specific variant in SEMA4D associated with body mass index

Overview of attention for article published in Obesity, March 2017
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

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23 news outlets
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2 blogs
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24 X users
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1 Facebook page

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49 Mendeley
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1 CiteULike
Title
Genome‐wide analysis identifies an african‐specific variant in SEMA4D associated with body mass index
Published in
Obesity, March 2017
DOI 10.1002/oby.21804
Pubmed ID
Authors

Guanjie Chen, Ayo P. Doumatey, Jie Zhou, Lin Lei, Amy R. Bentley, Fasil Tekola-Ayele, Sally N. Adebamowo, Jennifer L. Baker, Olufemi Fasanmade, Godfrey Okafor, Benjamin Eghan, Kofi Agyenim‐Boateng, Albert Amoah, Clement Adebamowo, Joseph Acheampong, Thomas Johnson, Johnnie Oli, Daniel Shriner, Adebowale A. Adeyemo, Charles N. Rotimi

Abstract

The prevalence of obesity varies between ethnic groups. No genome-wide association study (GWAS) for body mass index (BMI) has been conducted in continental Africans. We performed a GWAS for BMI in 1,570 West Africans (WA). Replication was conducted in independent samples of WA (n = 1,411) and African Americans (AA) (n = 9,020). We identified a novel genome-wide significant African-specific locus for BMI (SEMA4D, rs80068415; minor allele frequency = 0.008, P = 2.10 × 10(-8) ). This finding was replicated in independent samples of WA (P = 0.013) and AA (P = 0.017). Individuals with obesity had higher serum SEMA4D levels compared to those without obesity (P < 0.0001), and elevated levels of serum SEMA4D were associated with increased obesity risk (OR = 4.2, P < 1 × 10(-4) ). The prevalence of obesity was higher in individuals with the CT versus TT genotypes (55.6% vs. 22.9%). A novel variant in SEMA4D was significantly associated with BMI. Carriers of the C allele were 4.6 BMI units heavier than carriers of the T allele (P = 0.0007). This variant is monomorphic in Europeans and Asians, highlighting the importance of studying diverse populations. While there is evidence for the involvement of SEMA4D in inflammatory processes, this study is the first to implicate SEMA4D in obesity pathophysiology.

X Demographics

X Demographics

The data shown below were collected from the profiles of 24 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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 18%
Student > Bachelor 8 16%
Student > Doctoral Student 4 8%
Student > Postgraduate 4 8%
Student > Ph. D. Student 3 6%
Other 7 14%
Unknown 14 29%
Readers by discipline Count As %
Medicine and Dentistry 9 18%
Biochemistry, Genetics and Molecular Biology 7 14%
Agricultural and Biological Sciences 6 12%
Neuroscience 3 6%
Nursing and Health Professions 2 4%
Other 6 12%
Unknown 16 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 196. 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 26 July 2018.
All research outputs
#190,443
of 24,458,924 outputs
Outputs from Obesity
#180
of 4,214 outputs
Outputs of similar age
#4,232
of 312,948 outputs
Outputs of similar age from Obesity
#5
of 83 outputs
Altmetric has tracked 24,458,924 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 4,214 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 36.8. This one has done particularly well, scoring higher than 95% 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 312,948 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 83 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 93% of its contemporaries.