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Population Genetic Inference from Personal Genome Data: Impact of Ancestry and Admixture on Human Genomic Variation

Overview of attention for article published in American Journal of Human Genetics, October 2012
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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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

blogs
1 blog
twitter
8 X users
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
98 Dimensions

Readers on

mendeley
254 Mendeley
citeulike
9 CiteULike
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Title
Population Genetic Inference from Personal Genome Data: Impact of Ancestry and Admixture on Human Genomic Variation
Published in
American Journal of Human Genetics, October 2012
DOI 10.1016/j.ajhg.2012.08.025
Pubmed ID
Authors

Jeffrey M. Kidd, Simon Gravel, Jake Byrnes, Andres Moreno-Estrada, Shaila Musharoff, Katarzyna Bryc, Jeremiah D. Degenhardt, Abra Brisbin, Vrunda Sheth, Rong Chen, Stephen F. McLaughlin, Heather E. Peckham, Larsson Omberg, Christina A. Bormann Chung, Sarah Stanley, Kevin Pearlstein, Elizabeth Levandowsky, Suehelay Acevedo-Acevedo, Adam Auton, Alon Keinan, Victor Acuña-Alonzo, Rodrigo Barquera-Lozano, Samuel Canizales-Quinteros, Celeste Eng, Esteban G. Burchard, Archie Russell, Andy Reynolds, Andrew G. Clark, Martin G. Reese, Stephen E. Lincoln, Atul J. Butte, Francisco M. De La Vega, Carlos D. Bustamante

Abstract

Full sequencing of individual human genomes has greatly expanded our understanding of human genetic variation and population history. Here, we present a systematic analysis of 50 human genomes from 11 diverse global populations sequenced at high coverage. Our sample includes 12 individuals who have admixed ancestry and who have varying degrees of recent (within the last 500 years) African, Native American, and European ancestry. We found over 21 million single-nucleotide variants that contribute to a 1.75-fold range in nucleotide heterozygosity across diverse human genomes. This heterozygosity ranged from a high of one heterozygous site per kilobase in west African genomes to a low of 0.57 heterozygous sites per kilobase in segments inferred to have diploid Native American ancestry from the genomes of Mexican and Puerto Rican individuals. We show evidence of all three continental ancestries in the genomes of Mexican, Puerto Rican, and African American populations, and the genome-wide statistics are highly consistent across individuals from a population once ancestry proportions have been accounted for. Using a generalized linear model, we identified subtle variations across populations in the proportion of neutral versus deleterious variation and found that genome-wide statistics vary in admixed populations even once ancestry proportions have been factored in. We further infer that multiple periods of gene flow shaped the diversity of admixed populations in the Americas-70% of the European ancestry in today's African Americans dates back to European gene flow happening only 7-8 generations ago.

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 254 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 15 6%
Brazil 3 1%
Sweden 1 <1%
South Africa 1 <1%
France 1 <1%
United Kingdom 1 <1%
India 1 <1%
Spain 1 <1%
Canada 1 <1%
Other 0 0%
Unknown 229 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 81 32%
Researcher 55 22%
Student > Bachelor 27 11%
Student > Master 18 7%
Professor > Associate Professor 13 5%
Other 38 15%
Unknown 22 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 133 52%
Biochemistry, Genetics and Molecular Biology 40 16%
Medicine and Dentistry 19 7%
Social Sciences 9 4%
Computer Science 6 2%
Other 23 9%
Unknown 24 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 14 March 2013.
All research outputs
#2,607,509
of 25,373,627 outputs
Outputs from American Journal of Human Genetics
#1,397
of 5,878 outputs
Outputs of similar age
#18,044
of 190,989 outputs
Outputs of similar age from American Journal of Human Genetics
#11
of 57 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,878 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.3. This one has done well, scoring higher than 76% 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 190,989 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 90% of its contemporaries.
We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.