Comparison of Genetic Distance Measures Using Human SNP Genotype Data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11150%2F09%3A10081870" target="_blank" >RIV/00216208:11150/09:10081870 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Comparison of Genetic Distance Measures Using Human SNP Genotype Data
Original language description
Quantification of the genetic distance between populations is instrumental in many genetic research initiatives, and a large number of formulas for this purpose have been proposed. However, selection of an appropriate measure for assessing genetic distance between real-world human populations that diverged as a result of mechanisms that are not fully known can be a challenging task. We compared results from nine widely used genetic distance measures to high-density whole-genome SNP genotype data obtained on individuals from 51 world populations. Using population trees and generalized analysis of molecular variance, we founcl that contradictory inferences could be drawn from analyses that used different distance measures. We determined the grouping of the distance measures in terms of similarity and consistency of their values using concordance, consistency, and Procrustes analyses.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
EB - Genetics and molecular biology
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Human Biology
ISSN
0018-7143
e-ISSN
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Volume of the periodical
81
Issue of the periodical within the volume
4
Country of publishing house
US - UNITED STATES
Number of pages
17
Pages from-to
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UT code for WoS article
000281643600001
EID of the result in the Scopus database
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