An Extensive Comparison of Quantitative Trait Loci Mapping Methods | Zendy

André Kleensang | Zendy; Daniel Franke | Zendy; Alexandre Alcaïs | Zendy; Laurent Abel | Zendy; B. MüllerMyhsok | Zendy; Andreas Ziegler | Zendy

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An Extensive Comparison of Quantitative Trait Loci Mapping Methods

Author(s) -

André Kleensang,

Daniel Franke,

Alexandre Alcaïs,

Laurent Abel,

B. MüllerMyhsok,

Andreas Ziegler

Publication year - 2010

Publication title -

human heredity

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.423

H-Index - 62

eISSN - 1423-0062

pISSN - 0001-5652

DOI - 10.1159/000289596

Subject(s) - normality , statistical power , robustness (evolution) , statistics , trait , type i and type ii errors , outlier , multiple comparisons problem , standard deviation , computer science , econometrics , mathematics , biology , genetics , gene , programming language

The choices of study design and statistical approach for mapping a quantitative trait (QT) are of great importance. Larger sibships and a study design based upon phenotypically extreme siblings can be expected to have a greater statistical power. On the other hand, selected samples and/or deviation from normality can influence the robustness and power. Unfortunately, the effects of violation of multivariate normality assumptions and/or selected samples are only known for a limited number of methods. Some recommendations are available in the literature, but an extensive comparison of robustness and power under several different conditions is lacking.

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