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The GenoChip: A New Tool for Genetic Anthropology

Overview of attention for article published in Genome Biology & Evolution, May 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

twitter
7 X users
facebook
6 Facebook pages
wikipedia
12 Wikipedia pages

Citations

dimensions_citation
56 Dimensions

Readers on

mendeley
139 Mendeley
citeulike
4 CiteULike
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Title
The GenoChip: A New Tool for Genetic Anthropology
Published in
Genome Biology & Evolution, May 2013
DOI 10.1093/gbe/evt066
Pubmed ID
Authors

Eran Elhaik, Elliott Greenspan, Sean Staats, Thomas Krahn, Chris Tyler-Smith, Yali Xue, Sergio Tofanelli, Paolo Francalacci, Francesco Cucca, Luca Pagani, Li Jin, Hui Li, Theodore G. Schurr, Bennett Greenspan, R. Spencer Wells

Abstract

The Genographic Project is an international effort aimed at charting human migratory history. The project is nonprofit and nonmedical, and, through its Legacy Fund, supports locally led efforts to preserve indigenous and traditional cultures. Although the first phase of the project was focused on uniparentally inherited markers on the Y-chromosome and mitochondrial DNA (mtDNA), the current phase focuses on markers from across the entire genome to obtain a more complete understanding of human genetic variation. Although many commercial arrays exist for genome-wide single-nucleotide polymorphism (SNP) genotyping, they were designed for medical genetic studies and contain medically related markers that are inappropriate for global population genetic studies. GenoChip, the Genographic Project's new genotyping array, was designed to resolve these issues and enable higher resolution research into outstanding questions in genetic anthropology. The GenoChip includes ancestry informative markers obtained for over 450 human populations, an ancient human (Saqqaq), and two archaic hominins (Neanderthal and Denisovan) and was designed to identify all known Y-chromosome and mtDNA haplogroups. The chip was carefully vetted to avoid inclusion of medically relevant markers. To demonstrate its capabilities, we compared the FST distributions of GenoChip SNPs to those of two commercial arrays. Although all arrays yielded similarly shaped (inverse J) FST distributions, the GenoChip autosomal and X-chromosomal distributions had the highest mean FST, attesting to its ability to discern subpopulations. The chip performances are illustrated in a principal component analysis for 14 worldwide populations. In summary, the GenoChip is a dedicated genotyping platform for genetic anthropology. With an unprecedented number of approximately 12,000 Y-chromosomal and approximately 3,300 mtDNA SNPs and over 130,000 autosomal and X-chromosomal SNPs without any known health, medical, or phenotypic relevance, the GenoChip is a useful tool for genetic anthropology and population genetics.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Ireland 1 <1%
Kazakhstan 1 <1%
Czechia 1 <1%
Germany 1 <1%
Canada 1 <1%
Denmark 1 <1%
Spain 1 <1%
United States 1 <1%
Other 0 0%
Unknown 129 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 23%
Student > Ph. D. Student 29 21%
Student > Bachelor 12 9%
Professor 8 6%
Student > Doctoral Student 8 6%
Other 29 21%
Unknown 21 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 52 37%
Biochemistry, Genetics and Molecular Biology 36 26%
Social Sciences 6 4%
Environmental Science 4 3%
Medicine and Dentistry 4 3%
Other 16 12%
Unknown 21 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 25 March 2024.
All research outputs
#3,418,699
of 25,394,764 outputs
Outputs from Genome Biology & Evolution
#858
of 3,037 outputs
Outputs of similar age
#28,321
of 205,496 outputs
Outputs of similar age from Genome Biology & Evolution
#5
of 39 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,037 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. This one has gotten more attention than average, scoring higher than 71% 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 205,496 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 85% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.