Many analysis methods are available for genetic data, but a first pass through a genome-wide scan may normally consist of single-locus tests for trend, perhaps additionally with two-locus interaction tests [28]. Several methods are now available that exploit the important feature that the majority of tested genes are not associated, but there are a small number of true, but weak, associations to be found. These methods are useful both for establishing statistical significance more strongly than single-locus tests, and for informally suggesting sets of genes for follow-up study.
