Anderson, Erik L.

Abstract Recently, patients with mutations in DOCK8 have been reported to have a combined immunodeficiency characterized by cutaneous viral infections and allergies. NK cells represent a first-line defense against viral infections, suggesting that DOCK8 might participate in NK cell function. In this study, we demonstrate that DOCK8-suppressed human NK cells showed defects in natural cytotoxicity as well as specific activating receptor-mediated NK cytotoxicity. Additionally, compared with control NK cells, NK cells depleted of DOCK8 showed defective conjugate formation, along with decreased polarization of LFA-1, F-actin, and cytolytic granules toward the cytotoxic synapse. Using a proteomic approach, we found that DOCK8 exists in a macromolecular complex with the Wiskott-Aldrich syndrome protein, an actin nucleation-promoting factor activated by CDC42, as well as talin, which is required for integrin-mediated adhesion. Taken together, our results demonstrate an important role for DOCK8 in NK cell effector function and provide important new mechanistic insight into how DOCK8 regulates F-actin and integrin-mediated adhesion in immune cells.

Genomewide association studies (GWAS) and candidate‐gene studies have implicated single‐nucleotide polymorphisms (SNPs) in at least 45 different genes as putative glioma risk factors. Attempts to validate these associations have yielded variable results and few genetic risk factors have been consistently replicated. We conducted a case‐control study of Caucasian glioma cases and controls from the University of California San Francisco (810 cases, 512 controls) and the Mayo Clinic (852 cases, 789 controls) in an attempt to replicate previously reported genetic risk factors for glioma. Sixty SNPs selected from the literature (eight from GWAS and 52 from candidate‐gene studies) were successfully genotyped on an Illumina custom genotyping panel. Eight SNPs in/near seven different genes (TERT, EGFR, CCDC26, CDKN2A, PHLDB1, RTEL1, TP53) were significantly associated with glioma risk in the combined dataset (P < 0.05), with all associations in the same direction as in previous reports. Several SNP associations showed considerable differences across histologic subtype. All eight successfully replicated associations were first identified by GWAS, although none of the putative risk SNPs from candidate‐gene studies was associated in the full case‐control sample (all P values > 0.05). Although several confirmed associations are located near genes long known to be involved in gliomagenesis (e.g., EGFR, CDKN2A, TP53), these associations were first discovered by the GWAS approach and are in noncoding regions. These results highlight that the deficiencies of the candidate‐gene approach lay in selecting both appropriate genes and relevant SNPs within these genes.