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<p>We assume that a gene's specificity to a given cell type or condition is a reasonable indicator of the gene's importance to its function.</p>
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<p>If you benefit from this method, please cite:</p>
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<blockquote>
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<p>Slowikowski, K. et al. SNPsea: an algorithm to identify cell types, tissues, and pathways affected by risk loci > Manuscript in progress.</p>
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<p>Slowikowski, K. et al. <strong>SNPsea: an algorithm to identify cell types, tissues, and pathways affected by risk loci.</strong> Manuscript in progress.</p>
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</blockquote>
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<p>See additional examples:</p>
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<p>Hu, X. et al. Integrating autoimmune risk loci with gene-expression data identifies specific pathogenic immune cell subsets. The American Journal of Human Genetics 89, 496–506 (2011). <ahref="http://www.ncbi.nlm.nih.gov/pubmed/21963258">PubMed</a></p>
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<p>Hu, X. et al. <strong>Integrating autoimmune risk loci with gene-expression data identifies specific pathogenic immune cell subsets.</strong> The American Journal of Human Genetics 89, 496–506 (2011). <ahref="http://www.ncbi.nlm.nih.gov/pubmed/21963258">PubMed</a></p>
<p>This will run the analysis on SNPs associated with LDL cholesterol and test for tissue-specific expression of the nearby genes across 79 human tissues in the Gene Atlas gene expression matrix. Additionally, 1000 null random matched SNP sets will be tested and their results will also be recorded. Each tissue will be tested up to 1 million times, or testing will stop for a tissue if 50 matched SNP sets are observed to achieve a higher specificity score than the user's SNPs.</p>
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<p>SNPs will test SNPs associated with Red blood cell count for tissue-specific expression of linked genes across 79 human tissues in the Gene Atlas expression matrix. Each tissue will be tested up to 10 million times with matched random SNP sets, or testing will stop for a tissue if 100 matched SNP sets achieve a higher specificity score than the user's SNPs.</p>
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