Towards an improved global understanding of treatment and outcomes in people with type 2 diabetes: Rationale and methods of the DISCOVER observational study program.

AIM: Contemporary global real-world data on the management of type 2 diabetes are scarce. The global DISCOVER study program aims to describe the disease management patterns and a broad range of associated outcomes in patients with type 2 diabetes initiating a second-line glucose-lowering therapy in routine clinical practice. METHODS: The DISCOVER program comprises two longitudinal observational studies involving more than 15,000 patients in 38 countries across six continents. Study sites have been selected to be representative of type 2 diabetes management in each country. Data will be collected at baseline (initiation of second-line therapy), at 6months, and yearly during a 3-year follow-up period. RESULTS: The DISCOVER program will record patient, healthcare provider, and healthcare system characteristics, treatment patterns, and factors influencing changes in therapy. In addition, disease control (e.g. achievement of glycated hemoglobin target), management of associated risk factors (e.g. hypercholesterolemia and hypertension), and healthcare resource utilization will be recorded. Microvascular and macrovascular complications, incidence of hypoglycemic events, and patient-reported outcomes will also be captured. CONCLUSIONS: The DISCOVER program will provide insights into the current management of patients with type 2 diabetes worldwide, which will contribute to informing future clinical guidelines and improving patient care

Identification of a BRCA2-Specific Modifier Locus at 6p24 Related to Breast Cancer Risk

Common genetic variants contribute to the observed variation in breast cancer risk for BRCA2 mutation carriers; those known to date have all been found through population-based genome-wide association studies (GWAS). To comprehensively identify breast cancer risk modifying loci for BRCA2 mutation carriers, we conducted a deep replication of an ongoing GWAS discovery study. Using the ranked P-values of the breast cancer associations with the imputed genotype of 1.4 M SNPs, 19,029 SNPs were selected and designed for inclusion on a custom Illumina array that included a total of 211,155 SNPs as part of a multi-consortial project. DNA samples from 3,881 breast cancer affected and 4,330 unaffected BRCA2 mutation carriers from 47 studies belonging to the Consortium of Investigators of Modifiers of BRCA1/2 were genotyped and available for analysis. We replicated previously reported breast cancer susceptibility alleles in these BRCA2 mutation carriers and for several regions (including FGFR2, MAP3K1, CDKN2A/B, and PTHLH) identified SNPs that have stronger evidence of association than those previously published. We also identified a novel susceptibility allele at 6p24 that was inversely associated with risk in BRCA2 mutation carriers (rs9348512; per allele HR = 0.85, 95% CI 0.80-0.90, P = 3.9×10-8). This SNP was not associated with breast cancer risk either in the general population or in BRCA1 mutation carriers. The locus lies within a region containing TFAP2A, which encodes a transcriptional activation protein that interacts with several tumor suppressor genes. This report identifies the first breast cancer risk locus specific to a BRCA2 mutation background. This comprehensive update of novel and previously reported breast cancer susceptibility loci contributes to the establishment of a panel of SNPs that modify breast cancer risk in BRCA2 mutation carriers. This panel may have clinical utility for women with BRCA2 mutations weighing options for medical prevention of breast cancer

Correction: The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study.

The arcOGEN Consortium should be listed as an author of this article. They contributed to the genome-wide association study results presented in this work. They should be listed in the author byline at position 292 and affiliated with The Arthritis Research UK Osteoarthritis Genetics Consortium. They should also be included in the footnote designating consortia which is underneath the author affiliation list in the PDF version of the article, and in the S2 Text. Please view the correct S2 Text below, containing correct consortia members. S2 Text. Consortia members and extended acknowledgments. https://doi.org/10.1371/journal.pgen.1006166.s001 (DOCX) [This corrects the article DOI: 10.1371/journal.pgen.1005378.]