Literature DB >> 21778737

An improved delta-centralization method for population stratification.

Prakash Gorroochurn1, Susan E Hodge, Gary A Heiman, David A Greenberg.   

Abstract

Dadd et al. [Hum Hered 2010;69:285-294] recently criticized our delta-centralization (DC) method of controlling for population stratification (PS) and concluded that DC does not work. To explore our method, the authors simulated data under the Balding-Nichols (BN) model, which is more general than the model we had used in our simulations. They determined that the DC method underestimated the PS parameter (δ) and inflated the type I error rates when applied to BN-simulated data, and from this they concluded that the DC method is invalid. However, we argue that this conclusion is premature. In this paper, we (1) show why δ is underestimated and type I error rates are inflated when BN-simulated data are used, and (2) present a simple adjustment to DC that works reasonably well for data from both kinds of simulations. We also show that the adjusted DC method has appropriate power under a range of scenarios.
Copyright © 2011 S. Karger AG, Basel.

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Mesh:

Year:  2011        PMID: 21778737      PMCID: PMC3561693          DOI: 10.1159/000327728

Source DB:  PubMed          Journal:  Hum Hered        ISSN: 0001-5652            Impact factor:   0.444


  7 in total

1.  Delta-centralization fails to control for population stratification in genetic association studies.

Authors:  Tony Dadd; Cathryn M Lewis; Michael E Weale
Journal:  Hum Hered       Date:  2010-04-14       Impact factor: 0.444

2.  Centralizing the non-central chi-square: A new method to correct for population stratification in genetic case-control association studies.

Authors:  Prakash Gorroochurn; Gary A Heiman; Susan E Hodge; David A Greenberg
Journal:  Genet Epidemiol       Date:  2006-05       Impact factor: 2.135

3.  Principal components analysis corrects for stratification in genome-wide association studies.

Authors:  Alkes L Price; Nick J Patterson; Robert M Plenge; Michael E Weinblatt; Nancy A Shadick; David Reich
Journal:  Nat Genet       Date:  2006-07-23       Impact factor: 38.330

4.  A unified approach for quantifying, testing and correcting population stratification in case-control association studies.

Authors:  Prakash Gorroochurn; Susan E Hodge; Gary A Heiman; David A Greenberg
Journal:  Hum Hered       Date:  2007-05-25       Impact factor: 0.444

5.  Comments on: review and evaluation of methods correcting for population stratification with a focus on underlying statistical principles.

Authors:  Prakash Gorroochurn; Susan E Hodge; Gary A Heiman; David A Greenberg
Journal:  Hum Hered       Date:  2008-12-12       Impact factor: 0.444

Review 6.  Review and evaluation of methods correcting for population stratification with a focus on underlying statistical principles.

Authors:  Hemant K Tiwari; Jill Barnholtz-Sloan; Nathan Wineinger; Miguel A Padilla; Laura K Vaughan; David B Allison
Journal:  Hum Hered       Date:  2008-03-31       Impact factor: 0.444

7.  A method for quantifying differentiation between populations at multi-allelic loci and its implications for investigating identity and paternity.

Authors:  D J Balding; R A Nichols
Journal:  Genetica       Date:  1995       Impact factor: 1.082

  7 in total
  1 in total

1.  Analysis of historical selection in winter wheat.

Authors:  Chin Jian Yang; Olufunmilayo Ladejobi; Richard Mott; Wayne Powell; Ian Mackay
Journal:  Theor Appl Genet       Date:  2022-07-21       Impact factor: 5.574

  1 in total

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