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In a PLoS One paper published this week, Stanford University School of Medicine's Atul Butte and his colleagues show that "non-synonymous and synonymous coding SNPs show similar likelihood and effect size of human disease association." By surveying more than 20,000 disease-SNP associations from 2,113 GWAS papers, Butte et al.

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