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Basic statistical analysis in genetic case-control studies
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DOI：10.1038/nprot.2010.182.png)
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摘要
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This protocol describes how to perform basic statistical analysis in a population-based genetic association case-control study. The steps described involve the (i) appropriate selection of measures of association and relevance of disease models; (ii) appropriate selection of tests of association; (iii) visualization and interpretation of results; (iv) consideration of appropriate methods to control for multiple testing; and (v) replication strategies. Assuming no previous experience with software such as PLPLINK, R or Haploview, we describe how to use these popular tools for handling single-nucleotide polymorphism data in order to carry out tests of association and visualize and interpret results. This protocol assumes that data quality assessment and control has been performed, as described in a previous protocol, so that samples and markers deemed to have the potential to introduce bias to the study have been identified and removed. Study design, marker selection and quality control of case-control studies have also been discussed in earlier protocols. The protocol should take similar to 1 h to complete.
Keyword:
GENOME-WIDE ASSOCIATION
FALSE DISCOVERY RATE
LINKAGE DISEQUILIBRIUM
DENSE SNP
PROBABILITIES
REPLICATION
DEPENDENCE
RECTANGLES
IMPUTATION
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被引数:
5.6W
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Joint analysis is more efficient than replication-based analysis for two-stage genome-wide association studies.png)
NATURE GENETICS
NATURE GENETICSIF31.8
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