Title |
Comparison of measures of marker informativeness for ancestry and admixture mapping
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Published in |
BMC Genomics, December 2011
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DOI | 10.1186/1471-2164-12-622 |
Pubmed ID | |
Authors |
Lili Ding, Howard Wiener, Tilahun Abebe, Mekbib Altaye, Rodney CP Go, Carolyn Kercsmar, Greg Grabowski, Lisa J Martin, Gurjit K Khurana Hershey, Ranajit Chakorborty, Tesfaye M Baye |
Abstract |
Admixture mapping is a powerful gene mapping approach for an admixed population formed from ancestral populations with different allele frequencies. The power of this method relies on the ability of ancestry informative markers (AIMs) to infer ancestry along the chromosomes of admixed individuals. In this study, more than one million SNPs from HapMap databases and simulated data have been interrogated in admixed populations using various measures of ancestry informativeness: Fisher Information Content (FIC), Shannon Information Content (SIC), F statistics (FST), Informativeness for Assignment Measure (In), and the Absolute Allele Frequency Differences (delta, δ). The objectives are to compare these measures of informativeness to select SNP markers for ancestry inference, and to determine the accuracy of AIM panels selected by each measure in estimating the contributions of the ancestors to the admixed population. |
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Germany | 1 | 33% |
United Kingdom | 1 | 33% |
Demographic breakdown
Type | Count | As % |
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Scientists | 2 | 67% |
Members of the public | 1 | 33% |
Mendeley readers
Geographical breakdown
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United States | 2 | 2% |
Brazil | 2 | 2% |
Netherlands | 1 | 1% |
France | 1 | 1% |
United Kingdom | 1 | 1% |
South Africa | 1 | 1% |
Unknown | 87 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 23 | 24% |
Student > Ph. D. Student | 16 | 17% |
Student > Bachelor | 13 | 14% |
Student > Master | 11 | 12% |
Professor > Associate Professor | 4 | 4% |
Other | 11 | 12% |
Unknown | 17 | 18% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 17 | 18% |
Medicine and Dentistry | 6 | 6% |
Social Sciences | 3 | 3% |
Chemistry | 2 | 2% |
Other | 5 | 5% |
Unknown | 22 | 23% |