Title |
Population substructure in Cache County, Utah: the Cache County study
|
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Published in |
BMC Bioinformatics, May 2014
|
DOI | 10.1186/1471-2105-15-s7-s8 |
Pubmed ID | |
Authors |
Aaron R Sharp, Perry G Ridge, Matthew H Bailey, Kevin L Boehme, Maria C Norton, JoAnn T Tschanz, Ronald G Munger, Christopher D Corcoran, John SK Kauwe, Alzheimer's Disease Neuroimaging Initiative (ADNI) |
Abstract |
Population stratification is a key concern for genetic association analyses. In addition, extreme homogeneity of ethnic origins of a population can make it difficult to interpret how genetic associations in that population may translate into other populations. Here we have evaluated the genetic substructure of samples from the Cache County study relative to the HapMap Reference populations and data from the Alzheimer's Disease Neuroimaging Initiative (ADNI). |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor | 4 | 27% |
Researcher | 3 | 20% |
Student > Bachelor | 2 | 13% |
Student > Ph. D. Student | 2 | 13% |
Professor > Associate Professor | 2 | 13% |
Other | 2 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 5 | 33% |
Agricultural and Biological Sciences | 4 | 27% |
Computer Science | 2 | 13% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 7% |
Social Sciences | 1 | 7% |
Other | 1 | 7% |
Unknown | 1 | 7% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 02 October 2014.
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#20,238,443
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Outputs from BMC Bioinformatics
#6,845
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Outputs of similar age
#192,031
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Outputs of similar age from BMC Bioinformatics
#141
of 153 outputs
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