Analysis of single-locus tests to detect gene/disease associations
- Author
- ROEDER, Kathryn1 ; BACANU, Silviu-Alin2 ; SONPAR, Vibhor2 ; XIAOHUA ZHANG3 ; DEVLIN, B2
[1] Department of Statistics, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States
[2] Department of Psychiatry University of Pittsburgh, Pittsburgh, Pennsylvania, United States
[3] Department of Biometrics Research Merck Research Laboratories West Point, Pennsylvania, United States - Source
Genetic epidemiology. 2005, Vol 28, Num 3, pp 207-219, 13 p ; ref : 30 ref
- Publisher
- Wiley-Liss, New York, NY
- Publication country
- United States
- Document type
- Article
- Language
- English
- Author keyword
- haplotype multivariate regression nonparametric regression single nucleotide polymorphism
- Keyword (fr)
- Analyse Association Exploration Gène Génétique épidémiologique Haplotype Locus Maladie Polymorphisme mononucléotide Régression
- Keyword (en)
- Analysis Association Exploration Gene Epidemiologic genetics Haplotype Locus Disease Single nucleotide polymorphism Regression
- Keyword (es)
- Análisis Asociación Exploración Gen Genética epidemiológica Haplotipo Locus Enfermedad Polimorfismo mononucleótido Regresión
- Classification
- Pascal
- 002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A07 Genetics of eukaryotes. Biological and molecular evolution / 002A07C Classical genetics, quantitative genetics, hybrids / 002A07C03 Human
- Discipline
- Eukaryotes genetics. Biological and molecular evolution
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 16642332
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1002/gepi.20050 
https://dx.doi.org/10.1002/gepi.20050
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