Literature DB >> 11281282

On power and efficiency robust linkage tests for affected sibs.

J L Gastwirth1, B Freidlin.   

Abstract

For diseases that do not follow a clear Mendelian pattern of inheritance nonparametric tests applied to affected sibs have been shown to be robust to the inherent uncertainty about the precise underlying genetic model. It is known that the weights optimizing the power of tests using IBD alleles shared by affected sib pairs or triples depend on the underlying model. We show how efficiency robustness techniques, used in other areas of statistics, provide a systematic approach for constructing a robust linear combination of the statistics that are optimal for the individual members of a family of plausible genetic models. The method depends on the correlation matrix of the optimal tests as these correlations reflect how different the models are. When the minimal correlation is less than 0.5, an alternate robust procedure is proposed. The methods apply to combining data from sibships of different sizes.

Mesh:

Year:  2000        PMID: 11281282     DOI: 10.1046/j.1469-1809.2000.6450443.x

Source DB:  PubMed          Journal:  Ann Hum Genet        ISSN: 0003-4800            Impact factor:   1.670


  3 in total

1.  Genetic model selection in two-phase analysis for case-control association studies.

Authors:  Gang Zheng; Hon Keung Tony Ng
Journal:  Biostatistics       Date:  2007-11-13       Impact factor: 5.899

2.  Incorporating parental information into family-based association tests.

Authors:  Zhaoxia Yu; Daniel Gillen; Carey F Li; Michael Demetriou
Journal:  Biostatistics       Date:  2012-12-23       Impact factor: 5.899

3.  The MAX Statistic is Less Powerful for Genome Wide Association Studies Under Most Alternative Hypotheses.

Authors:  Benjamin Shifflett; Rong Huang; Steven D Edland
Journal:  Int J Stat Med Res       Date:  2017
  3 in total

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