Comparative Study of Various Genetic Distance Measures between Populations for the ABO Gene

Quantification of the genetic distance between populations is essential in many genetic research programs. Several formulae have been proposed for the estimation of the genetic distance between populations using gene frequency data. Neis D has been the most widely used genetic distance measure in di...

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Main Author: Supriyo CHAKRABORTY
Format: Article
Language:English
Published: University of Agricultural Sciences and Veterinary Medicine, Cluj-Napoca 2010-11-01
Series:Notulae Scientia Biologicae
Online Access:http://www.notulaebiologicae.ro/index.php/nsb/article/view/5447
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spelling doaj-cd8d5daee1804032ba379ab2082076872020-11-25T00:40:41ZengUniversity of Agricultural Sciences and Veterinary Medicine, Cluj-NapocaNotulae Scientia Biologicae2067-32052067-32642010-11-0124121710.15835/nsb2454475431Comparative Study of Various Genetic Distance Measures between Populations for the ABO GeneSupriyo CHAKRABORTY0North Carolina State University, Bioinformatics Research Centre, 318 Ricks Hall, 1 Lampe Drive, Raleigh, NC 27695,Quantification of the genetic distance between populations is essential in many genetic research programs. Several formulae have been proposed for the estimation of the genetic distance between populations using gene frequency data. Neis D has been the most widely used genetic distance measure in different research programs. But the selection of a suitable measure to estimate genetic distance between real-world human populations is a very difficult task. The present study was undertaken to estimate the genetic distance between Barak Valley Muslims (BVM) and other twenty four nations with the ABO blood group gene frequency data using seven different formulae, as well as to estimate the correlation coefficients between distance measures and to work out the regression equations. Seven genetic distance measures namely Neis D, Neis Nm, La, Neis Da, Dc, Re and Neis Ne were calculated between BVM and other 24 nations. Correlation coefficients of Neis D with other measures were determined to find out which other genetic distance measures were similar to Neis D. Linear regression equations of Neis D with other distance measures were determined. Neis D showed a highly significant (p=0.01) positive correlation with Cavalli-Sforza and Edwards chord distance Dc (0.90), Reynolds Re (0.90), Neis Da (0.74) and Neis Ne (0.63) but a negative correlation with Neis Nm and La. Since Neis D had very high positive correlation with Dc and Re distance measures, any one of these measures could be reliably used in genetic analysis instead of all the three measures for estimating genetic distance between populations.http://www.notulaebiologicae.ro/index.php/nsb/article/view/5447
collection DOAJ
language English
format Article
sources DOAJ
author Supriyo CHAKRABORTY
spellingShingle Supriyo CHAKRABORTY
Comparative Study of Various Genetic Distance Measures between Populations for the ABO Gene
Notulae Scientia Biologicae
author_facet Supriyo CHAKRABORTY
author_sort Supriyo CHAKRABORTY
title Comparative Study of Various Genetic Distance Measures between Populations for the ABO Gene
title_short Comparative Study of Various Genetic Distance Measures between Populations for the ABO Gene
title_full Comparative Study of Various Genetic Distance Measures between Populations for the ABO Gene
title_fullStr Comparative Study of Various Genetic Distance Measures between Populations for the ABO Gene
title_full_unstemmed Comparative Study of Various Genetic Distance Measures between Populations for the ABO Gene
title_sort comparative study of various genetic distance measures between populations for the abo gene
publisher University of Agricultural Sciences and Veterinary Medicine, Cluj-Napoca
series Notulae Scientia Biologicae
issn 2067-3205
2067-3264
publishDate 2010-11-01
description Quantification of the genetic distance between populations is essential in many genetic research programs. Several formulae have been proposed for the estimation of the genetic distance between populations using gene frequency data. Neis D has been the most widely used genetic distance measure in different research programs. But the selection of a suitable measure to estimate genetic distance between real-world human populations is a very difficult task. The present study was undertaken to estimate the genetic distance between Barak Valley Muslims (BVM) and other twenty four nations with the ABO blood group gene frequency data using seven different formulae, as well as to estimate the correlation coefficients between distance measures and to work out the regression equations. Seven genetic distance measures namely Neis D, Neis Nm, La, Neis Da, Dc, Re and Neis Ne were calculated between BVM and other 24 nations. Correlation coefficients of Neis D with other measures were determined to find out which other genetic distance measures were similar to Neis D. Linear regression equations of Neis D with other distance measures were determined. Neis D showed a highly significant (p=0.01) positive correlation with Cavalli-Sforza and Edwards chord distance Dc (0.90), Reynolds Re (0.90), Neis Da (0.74) and Neis Ne (0.63) but a negative correlation with Neis Nm and La. Since Neis D had very high positive correlation with Dc and Re distance measures, any one of these measures could be reliably used in genetic analysis instead of all the three measures for estimating genetic distance between populations.
url http://www.notulaebiologicae.ro/index.php/nsb/article/view/5447
work_keys_str_mv AT supriyochakraborty comparativestudyofvariousgeneticdistancemeasuresbetweenpopulationsfortheabogene
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