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Population Frequencies of the Triallelic 5HTTLPR in Six Ethnicially Diverse Samples from North America, Southeast Asia, and Africa

Overview of attention for article published in Behavior Genetics, January 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

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Title
Population Frequencies of the Triallelic 5HTTLPR in Six Ethnicially Diverse Samples from North America, Southeast Asia, and Africa
Published in
Behavior Genetics, January 2015
DOI 10.1007/s10519-014-9703-5
Pubmed ID
Authors

Brett C. Haberstick, Andrew Smolen, Redford B. Williams, George D. Bishop, Vangie A. Foshee, Terence P. Thornberry, Rand Conger, Ilene C. Siegler, Xiaodong Zhang, Jason D. Boardman, Zygmunt Frajzyngier, Michael C. Stallings, M. Brent Donnellan, Carolyn T. Halpern, Kathleen Mullan Harris

Abstract

Genetic differences between populations are potentially an important contributor to health disparities around the globe. As differences in gene frequencies influence study design, it is important to have a thorough understanding of the natural variation of the genetic variant(s) of interest. Along these lines, we characterized the variation of the 5HTTLPR and rs25531 polymorphisms in six samples from North America, Southeast Asia, and Africa (Cameroon) that differ in their racial and ethnic composition. Allele and genotype frequencies were determined for 24,066 participants. Results indicated higher frequencies of the rs25531 G-allele among Black and African populations as compared with White, Hispanic and Asian populations. Further, we observed a greater number of 'extra-long' ('XL') 5HTTLPR alleles than have previously been reported. Extra-long alleles occurred almost entirely among Asian, Black and Non-White Hispanic populations as compared with White and Native American populations where they were completely absent. Lastly, when considered jointly, we observed between sample differences in the genotype frequencies within racial and ethnic populations. Taken together, these data underscore the importance of characterizing the L-G allele to avoid misclassification of participants by genotype and for further studies of the impact XL alleles may have on the transcriptional efficiency of SLC6A4.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 1%
Unknown 71 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 15%
Researcher 11 15%
Student > Master 8 11%
Student > Bachelor 7 10%
Other 5 7%
Other 14 19%
Unknown 16 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 14%
Medicine and Dentistry 9 13%
Social Sciences 8 11%
Psychology 7 10%
Neuroscience 5 7%
Other 13 18%
Unknown 20 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 19 December 2019.
All research outputs
#2,907,000
of 23,630,563 outputs
Outputs from Behavior Genetics
#149
of 928 outputs
Outputs of similar age
#41,464
of 355,732 outputs
Outputs of similar age from Behavior Genetics
#3
of 12 outputs
Altmetric has tracked 23,630,563 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 928 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has done well, scoring higher than 83% 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 355,732 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.