Πέμπτη 24 Μαΐου 2018
Respiratory Synkinesis seen in the biceps brachii muscle resulting from meningitis 20 years prior
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Endovascular thrombectomy in acute ischemic stroke: new treatment guide
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Emerging evidence for antidepressant actions of anesthetic agents
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Advances in pharmacokinetic modeling: target controlled infusions in the obese
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An overview of the cannabinoid type 2 receptor system and its therapeutic potential
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New horizons in anesthetic clinical pharmacology, patient outcomes and perioperative neuromonitoring
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Leveraging epigenomics and contactomics data to investigate SNP pairs in GWAS
Abstract
Although Genome Wide Association Studies (GWAS) have led to many valuable insights into the genetic bases of common diseases over the past decade, the issue of missing heritability has surfaced, as the discovered main effect genetic variants found to date do not account for much of a trait's predicted genetic component. We present a workflow, integrating epigenomics and topologically associating domain data, aimed at discovering trait-associated SNP pairs from GWAS where neither SNP achieved independent genome-wide significance. Each analyzed SNP pair consists of one SNP in a putative active enhancer and another SNP in a putative physically interacting gene promoter in a trait-relevant tissue. As a proof-of-principle case study, we used this approach to identify focused collections of SNP pairs that we analyzed in three independent Type 2 diabetes (T2D) GWAS. This approach led us to discover 35 significant SNP pairs, encompassing both novel signals and signals for which we have found orthogonal support from other sources. Nine of these pairs are consistent with eQTL results, two are consistent with our own capture C experiments, and seven involve signals supported by recent T2D literature.
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