Amy Murphy1, Matthew B McQueen, Jessica Su
1Department of Biostatistics, Harvard School of Public Health, Boston, MA 02115, USA. amurphy@hsph.harvard.edu
Genome-wide association studies (GWAS) can identify disease genes, but multiple comparisons are a challenge. A new screening technique using family-based association testing effectively identifies promising single-nucleotide polymorphisms for analysis.
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