A phase I study of MLN4924 and belinostat in relapsed/refractory acute myeloid leukemia or myelodysplastic syndrome.

Purpose: Relapsed and/or refractory acute myeloid leukemia and high-risk myelodysplastic syndrome continue to have a poor prognosis with limited treatment options despite advancements in rational combination and targeted therapies. Belinostat (an HDAC inhibitor) and Pevonedistat (a NEDD8 inhibitor) have each been independently studied in hematologic malignancies and have tolerable safety profiles with limited single-agent activity. Preclinical studies in AML cell lines and primary AML cells show the combination to be highly synergistic, particularly in high-risk phenotypes such as p53 mutant and FLT-3-ITD positive cells.

3D genomic features across >50 diverse cell types reveal insights into the genomic architecture of childhood obesity.

The prevalence of childhood obesity is increasing worldwide, along with the associated common comorbidities of type 2 diabetes and cardiovascular disease in later life. Motivated by evidence for a strong genetic component, our prior genome-wide association study (GWAS) efforts for childhood obesity revealed 19 independent signals for the trait; however, the mechanism of action of these loci remains to be elucidated. To molecularly characterize these childhood obesity loci, we sought to determine the underlying causal variants and the corresponding effector genes within diverse cellular contexts.

Mapping chromatin interactions at melanoma susceptibility loci and cell-type specific dataset integration uncovers distant gene targets of -regulation.

Genome-wide association studies (GWAS) of melanoma risk have identified 68 independent signals at 54 loci. For most loci, specific functional variants and their respective target genes remain to be established. Capture-HiC is an assay that links fine-mapped risk variants to candidate target genes by comprehensively mapping cell-type specific chromatin interactions.

Antibiotic prescribing for care-home residents: a population-based, cross-classified multilevel analysis in Scotland, UK.

Background: There is wide variation in antibiotic prescribing across care-homes for older people, with implications for resident outcomes and antimicrobial resistance.

Objective: To quantify variation in antibiotic prescribing and associations with resident, care-home and general practice characteristics.

Design: Population-based analyses using administrative data.