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Refining The Accuracy Of Validated Target Identification Through Coding Variant Fine-Mapping In Type 2 Diabetes
[article]
2017
bioRxiv
pre-print
Identification of coding variant associations for complex diseases offers a direct route to biological insight, but is dependent on appropriate inference concerning the causal impact of those variants on disease risk. We aggregated coding variant data for 81,412 type 2 diabetes (T2D) cases and 370,832 controls of diverse ancestry, identifying 40 distinct coding variant association signals (at 38 loci) reaching significance (p<2.2x10 -7 ). Of these, 16 represent novel associations mapping
doi:10.1101/144410
fatcat:o5wmnvlgdbhk7hjiuitktps7le