Practical Guide to genetic association studies. Considerations on their clinical usefulness.

The article offers information on the useful guidelines in conducting research related to genetics. Several variables should be considered to measure the sample size including genotyping errors, statistical tests and size of expected effect. An examination of the population mix is required to assess...

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Publicado en:Nefrología Vol. 29; no. 6; pp. 582 - 589
Autores principales: Esparragón, F. Rodríguez, Pérez, J. C. Rodríguez, García^Bello, M. A.
Formato: Artículo
Publicado: Revista Nefrologia Dec2009
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Practical Guide to genetic association studies. Considerations on their clinical usefulness.
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        au:
          Esparragón, F. Rodríguez
          Pérez, J. C. Rodríguez
          García^Bello, M. A.
        affil:
          Research Unit. Dr. Negrín University Hospital, Gran Canaria, Spain
          Nephrology Department. Dr. Negrín University Hospital, Gran Canaria, Spain
          University of Las Palmas de Gran Canaria, Spain
      su:
        Genetic research
        Research methodology
        Sample size (Statistics)
        Genotype-environment interaction
        Population
        Heterogeneity
        Quantitative research
        Logistic regression analysis
      sug:
        subj:
          Genetic research
          Research methodology
          Sample size (Statistics)
          Genotype-environment interaction
          Population
          Heterogeneity
          Quantitative research
          Logistic regression analysis
      ab: The article offers information on the useful guidelines in conducting research related to genetics. Several variables should be considered to measure the sample size including genotyping errors, statistical tests and size of expected effect. An examination of the population mix is required to assess genetic heterogeneity. The type of statistical analysis applied should also be regarded including contingency analysis, logistic regression and coefficient interpretation.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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