Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes

Volume: 50, Issue: 4, Pages: 559 - 571
Published: Apr 9, 2018
Abstract
We aggregated coding variant data for 81,412 type 2 diabetes cases and 370,832 controls of diverse ancestry, identifying 40 coding variant association signals (P < 2.2 × 10−7); of these, 16 map outside known risk-associated loci. We make two important observations. First, only five of these signals are driven by low-frequency variants: even for these, effect sizes are modest (odds ratio ≤1.29). Second, when we used large-scale genome-wide...
Paper Details
Title
Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes
Published Date
Apr 9, 2018
Volume
50
Issue
4
Pages
559 - 571
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