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

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 &lt; 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 association data to fine-map the associated variants in their regional context, accounting for the global enrichment of complex trait associations in coding sequence, compelling evidence for coding variant causality was obtained for only 16 signals. At 13 others, the associated coding variants clearly represent 'false leads' with potential to generate erroneous mechanistic inference. Coding variant associations offer a direct route to biological insight for complex diseases and identification of validated therapeutic targets; however, appropriate mechanistic inference requires careful specification of their causal contribution to disease predisposition.</p

High concentration formulation studies of an IgG2 antibody using small angle X-ray scattering

Concentrated protein formulations are strongly influenced by protein-protein interactions. These can be probed at low protein concentration by e.g. virial coefficients. It was recently suggested that interactions are attractive at short distances and repulsive at longer distances. Measurements at low concentrations mainly sample longer distances, hence may not predict high concentration behavior. Here we demonstrate that small angle X-ray scattering (SAXS) measurements simultaneously collect information on interactions at short and long distances.IgG2 antibody samples at concentrations up to 122 mg/ml are analyzed using SAXS and compared to Circular Dichroism (CD), Fluorescence, Size Exclusion Chromatography (SEC) and Dynamic Light Scattering (DLS) analysis.DLS and SEC analyses reveal attraction between antibodies at high concentrations. SAXS data analysis provides an elaborate understanding and shows both attractive and repulsive forces. The protein-protein interactions are strongly affected by excipients. No change in the solution state of IgG2 is observed at pH 4-8, while samples at pH 3 exhibit heavy oligomerization. The solution conformation of the examined IgG2 derived from SAXS data is a T-shape.SAXS analysis resolves simultaneous attractive and repulsive interactions, and details the effect of excipients on the interactions, while providing three-dimensional structural information from low-concentration samples