| Title |
High-density SNP genotyping detects homogeneity of Spanish and French Basques, and confirms their genomic distinctiveness from other European populations
|
|---|---|
| Published in |
Human Genetics, May 2010
|
| DOI | 10.1007/s00439-010-0833-4 |
| Pubmed ID | |
| Authors |
Naiara Rodríguez-Ezpeleta, Jon Álvarez-Busto, Liher Imaz, María Regueiro, María Nerea Azcárate, Roberto Bilbao, Mikel Iriondo, Ana Gil, Andone Estonba, Ana María Aransay |
| Abstract |
A recent study reported that Basques do not constitute a genetically distinct population, and that Basques from Spanish and French provinces do not show significant genetic similarity. These conclusions disagree with numerous previous studies, and are not consistent with the historical and linguistic evidence that supports the distinctiveness of Basques. In order to further investigate this controversy, we have genotyped 83 Spanish Basque individuals and used these data to infer population structure based on more than 60,000 single nucleotide polymorphisms of several European populations. Here, we present the first high-throughput analysis including Basques from Spanish and French provinces, and show that all Basques constitute a homogeneous group that can be clearly differentiated from other European populations. |
X Demographics
The data shown below were collected from the profiles of 22 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 12 | 55% |
| Germany | 1 | 5% |
| Unknown | 9 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 21 | 95% |
| Scientists | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Sweden | 1 | 2% |
| Unknown | 46 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 31% |
| Student > Ph. D. Student | 7 | 15% |
| Other | 6 | 13% |
| Student > Master | 4 | 8% |
| Student > Bachelor | 3 | 6% |
| Other | 9 | 19% |
| Unknown | 4 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 48% |
| Biochemistry, Genetics and Molecular Biology | 10 | 21% |
| Medicine and Dentistry | 3 | 6% |
| Environmental Science | 2 | 4% |
| Arts and Humanities | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 5 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 50. 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 04 April 2021.
All research outputs
#858,791
of 25,706,302 outputs
Outputs from Human Genetics
#58
of 2,976 outputs
Outputs of similar age
#2,425
of 105,023 outputs
Outputs of similar age from Human Genetics
#1
of 13 outputs
Altmetric has tracked 25,706,302 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,976 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done particularly well, scoring higher than 98% of its peers.
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We're also able to compare this research output to 13 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 92% of its contemporaries.