Report for: Archaic adaptive introgression in TBX15/WARS2

You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.

Title	Archaic adaptive introgression in TBX15/WARS2
Published in	Molecular Biology and Evolution, December 2016
DOI	10.1093/molbev/msw283
Pubmed ID	28007980
Authors	Fernando Racimo, David Gokhman, Matteo Fumagalli, Amy Ko, Torben Hansen, Ida Moltke, Anders Albrechtsen, Liran Carmel, Emilia Huerta-Sánchez, Rasmus Nielsen
Abstract	A recent study conducted the first genome-wide scan for selection in Inuit from Greenland using SNP chip data. Here, we report that selection in the region with the second most extreme signal of positive selection in Greenlandic Inuit favored a deeply divergent haplotype that is closely related to the sequence in the Denisovan genome, and was likely introgressed from an archaic population. The region contains two genes, WARS2 and TBX15, and has previously been associated with adipose tissue differentiation and body-fat distribution in humans. We show that the adaptively introgressed allele has been under selection in a much larger geographic region than just Greenland. Furthermore, it is associated with changes in expression of WARS2 and TBX15 in multiple tissues including the adrenal gland and subcutaneous adipose tissue, and with regional DNA methylation changes in TBX15.

View on publisher site Alert me about new mentions

Twitter Demographics

The data shown below were collected from the profiles of 48 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Geographical breakdown

Country	Count	As %
United States	12	25%
United Kingdom	4	8%
Spain	3	6%
France	2	4%
Germany	2	4%
Japan	1	2%
Netherlands	1	2%
Italy	1	2%
New Zealand	1	2%
Other	7	15%
Unknown	14	29%

Demographic breakdown

Type	Count	As %
Scientists	24	50%
Members of the public	21	44%
Practitioners (doctors, other healthcare professionals)	3	6%

Mendeley readers

The data shown below were compiled from readership statistics for 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country	Count	As %
United States	3	2%
France	2	1%
Italy	1	<1%
United Kingdom	1	<1%
Japan	1	<1%
Portugal	1	<1%
Canada	1	<1%
Unknown	125	93%

Demographic breakdown

Readers by professional status	Count	As %
Student > Ph. D. Student	43	32%
Researcher	25	19%
Unspecified	17	13%
Student > Master	12	9%
Student > Bachelor	12	9%
Other	26	19%

Readers by discipline	Count	As %
Agricultural and Biological Sciences	50	37%
Biochemistry, Genetics and Molecular Biology	38	28%
Unspecified	19	14%
Social Sciences	9	7%
Psychology	4	3%
Other	15	11%

Attention Score in Context

This research output has an Altmetric Attention Score of 318. 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 22 October 2019.

All research outputs

#37,604

of 13,710,537 outputs

Outputs from Molecular Biology and Evolution

of 3,663 outputs

Outputs of similar age

#2,166

of 374,318 outputs

Outputs of similar age from Molecular Biology and Evolution

of 89 outputs

Altmetric has tracked 13,710,537 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 3,663 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.4. 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 374,318 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 89 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 97% of its contemporaries.

Archaic adaptive introgression in TBX15/WARS2

About this Attention Score

Mentioned by

Citations

Readers on

Twitter Demographics

Geographical breakdown

Demographic breakdown

Mendeley readers

Geographical breakdown

Demographic breakdown

Attention Score in Context