Literature DB >> 15931375

Factors affecting statistical power in the detection of genetic association.

Derek Gordon1, Stephen J Finch.   

Abstract

The mapping of disease genes to specific loci has received a great deal of attention in the last decade, and many advances in therapeutics have resulted. Here we review family-based and population-based methods for association analysis. We define the factors that determine statistical power and show how study design and analysis should be designed to maximize the probability of localizing disease genes.

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Year:  2005        PMID: 15931375      PMCID: PMC1137002          DOI: 10.1172/JCI24756

Source DB:  PubMed          Journal:  J Clin Invest        ISSN: 0021-9738            Impact factor:   14.808


  110 in total

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10.  Misclassification in a matched case-control study with variable matching ratio: application to a study of c-erbB-2 overexpression and breast cancer.

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  51 in total

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9.  Understanding genetic factors in idiopathic scoliosis, a complex disease of childhood.

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10.  Inferring linkage disequilibrium from non-random samples.

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