Comparison of Genetic Distance Measures Using Human SNP Genotype Data

Kód výsledku v 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>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Comparison of Genetic Distance Measures Using Human SNP Genotype Data

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Comparison of Genetic Distance Measures Using Human SNP Genotype Data

Popis výsledku anglicky

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.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

EB - Genetika a molekulární biologie

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2009

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Human Biology

ISSN

0018-7143

e-ISSN

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Svazek periodika

81

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

17

Strana od-do

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Kód UT WoS článku

000281643600001

EID výsledku v databázi Scopus

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