Literature DB >> 18202402

Naive application of permutation testing leads to inflated type I error rates.

G A Churchill1, R W Doerge.   

Abstract

Failure to account for family structure within populations or in complex mating designs via uninformed applications of permutation testing will lead to inflated type I error rates. Careful consideration of the design factors is essential since some situations allow several valid permutation strategies, and the choice that maximizes statistical power will not always be intuitive.

Entities:  

Mesh:

Year:  2008        PMID: 18202402      PMCID: PMC2206111          DOI: 10.1534/genetics.107.074609

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  3 in total

1.  Assessing the significance of quantitative trait loci in replicable mapping populations.

Authors:  Fei Zou; Zongli Xu; Todd Vision
Journal:  Genetics       Date:  2006-08-03       Impact factor: 4.562

2.  Effect of within-strain sample size on QTL detection and mapping using recombinant inbred mouse strains.

Authors:  J K Belknap
Journal:  Behav Genet       Date:  1998-01       Impact factor: 2.805

3.  Empirical threshold values for quantitative trait mapping.

Authors:  G A Churchill; R W Doerge
Journal:  Genetics       Date:  1994-11       Impact factor: 4.562

  3 in total
  39 in total

1.  Rapid and robust resampling-based multiple-testing correction with application in a genome-wide expression quantitative trait loci study.

Authors:  Xiang Zhang; Shunping Huang; Wei Sun; Wei Wang
Journal:  Genetics       Date:  2012-01-31       Impact factor: 4.562

2.  Genetic Architectures of Quantitative Variation in RNA Editing Pathways.

Authors:  Tongjun Gu; Daniel M Gatti; Anuj Srivastava; Elizabeth M Snyder; Narayanan Raghupathy; Petr Simecek; Karen L Svenson; Ivan Dotu; Jeffrey H Chuang; Mark P Keller; Alan D Attie; Robert E Braun; Gary A Churchill
Journal:  Genetics       Date:  2015-11-27       Impact factor: 4.562

Review 3.  High-Diversity Mouse Populations for Complex Traits.

Authors:  Michael C Saul; Vivek M Philip; Laura G Reinholdt; Elissa J Chesler
Journal:  Trends Genet       Date:  2019-05-24       Impact factor: 11.639

4.  Genetic factors contributing to obesity and body weight can act through mechanisms affecting muscle weight, fat weight, or both.

Authors:  Gudrun A Brockmann; Shirng-Wern Tsaih; Christina Neuschl; Gary A Churchill; Renhua Li
Journal:  Physiol Genomics       Date:  2008-11-04       Impact factor: 3.107

5.  A unified mixed effects model for gene set analysis of time course microarray experiments.

Authors:  Lily Wang; Xi Chen; Russell D Wolfinger; Jeffrey L Franklin; Robert J Coffey; Bing Zhang
Journal:  Stat Appl Genet Mol Biol       Date:  2009-11-07

6.  A simulation study of permutation, bootstrap, and gene dropping for assessing statistical significance in the case of unequal relatedness.

Authors:  Riyan Cheng; Abraham A Palmer
Journal:  Genetics       Date:  2012-12-24       Impact factor: 4.562

Review 7.  Gene set analysis of genome-wide association studies: methodological issues and perspectives.

Authors:  Lily Wang; Peilin Jia; Russell D Wolfinger; Xi Chen; Zhongming Zhao
Journal:  Genomics       Date:  2011-04-30       Impact factor: 5.736

Review 8.  Fine-mapping QTLs in advanced intercross lines and other outbred populations.

Authors:  Natalia M Gonzales; Abraham A Palmer
Journal:  Mamm Genome       Date:  2014-06-07       Impact factor: 2.957

Review 9.  Chromosome substitution strains: gene discovery, functional analysis, and systems studies.

Authors:  Joseph H Nadeau; Jiri Forejt; Toyoyuki Takada; Toshihiko Shiroishi
Journal:  Mamm Genome       Date:  2012-09-08       Impact factor: 2.957

10.  Permutation testing in the presence of polygenic variation.

Authors:  Mark Abney
Journal:  Genet Epidemiol       Date:  2015-03-10       Impact factor: 2.135

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