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Yardena Samuels and colleagues report the sequencing of 14 melanoma exomes. They identify a recurrent mutation in TRRAP in 4% of cases as well as mutations in GRIN2A in 33% of tumors.

The Rbfox family of RNA binding proteins mediate alternative splicing. Douglas Black and colleagues show that targeted deletion of the mouse Rbfox1 gene in the CNS alters splice isoforms of a subset of genes and is associated with neural hyperexcitability with spontaneous and drug-induced seizures.

Extended pelvic lymph node dissection has been shown to markedly improve oncologic outcomes in patients with urothelial carcinoma of the bladder, but the value of lymphadenectomy in the management of upper tract urothelial carcinoma (UTUC) is less clear. In this Review, the authors discuss whether routine regional lymph node dissection can be recommended for UTUC on the basis of the available evidence.

Robust validation of biomarkers of aging will be critical to their clinical translation; here, authors review the key challenges and propose recommendations to overcome them.

Deep-genome and single-cell sequencing analyses of patient-derived breast cancer xenografts reveal extensive, dynamic and reproducible changes in intra-tumoral mutational clonal composition on engraftment and serial propagation.

Identifying tumor-associated T cell epitopes can be laborious. Robbins et al. now report that they used whole-exome sequence data to identify mutated peptides from tumor antigens that are recognized by tumor-infiltrating T cells from patients with melanoma who experienced therapy-associated tumor regressions. The method will contribute to the identification of new tumor-specific epitopes that may further the development of effective T cell therapies for the treatment of patients with melanoma as well as a variety of additional malignancies.

Single cell RNA sequencing atlases of HermanskyPudlak syndrome elucidate cellular abnormalities including emergence of inflammatory fibroblasts that are associated with pulmonary fibrosis.

Biomarkers of aging have potential to accelerate the clinical translation of interventions that promote healthy aging but are currently limited to research. The authors identify six barriers to be overcome to enable biomarker translation, providing a roadmap to clinical implementation.

Graham Heap, Tariq Ahmad and colleagues show that common variants in the HLA-DQA1–HLA-DRB1 region confer susceptibility to thiopurine-induced pancreatitis in individuals undergoing treatment for inflammatory bowel diseases. These findings could help identify patients at risk of developing this serious adverse reaction to thiopurine therapy.

Francis et al. perform a systematic review and meta-analysis to evaluate studies comparing perinatal outcomes among individuals with gestational diabetes mellitus (GDM). Their review and post hoc analysis find that maternal preconception weight and non-glucose-dependent biochemical markers could be a precision diagnostic approach to reducing variability in clinical outcomes following treatment.

This Comment article from the Precision Immunology Institute at the Icahn School of Medicine (PrIISM), New York, describes their efforts to provide critical reviews of COVID-19 articles posted daily on the preprint servers bioRxiv and medRxiv.

Yardena Samuels and colleagues sequenced G protein-coupled receptors in 11 melanoma samples and report a comprehensive map of somatic variants in the GPCR gene family. They find frequent mutations in GRM3, which promote proliferation and migration of melanoma cells.

Janey Wiggs, Jonathan Haines and colleagues identify three new susceptibility loci for primary open-angle glaucoma. The association signals map near genes implicated in ocular development (FOXC1), neurodegeneration (ATXN2) and mitochondrial function (TXNRD2).

This paper reports the genome sequence of domesticated tomato, a major crop plant, and a draft sequence for its closest wild relative; comparative genomics reveal very little divergence between the two genomes but some important differences with the potato genome, another important food crop in the genus Solanum.

The Gossypium genus is used to investigate emergent consequences of polyploidy in cotton species; comparative genomic analyses reveal a complex evolutionary history including interactions among subgenomes that result in genetic novelty in elite cottons and provide insight into the evolution of spinnable fibres.

Sabeti et al. build on their This paper builds on previous work of detecting selection on human genes, using the many more markers available in the Phase II HapMap project. Three examples of apparent population-specific selection based on geographic area are described, and how these may relate to human biology is discussed.

Here, we introduce Artificial Intelligence Ready and Equitable Atlas for Diabetes Insights (AI-READI), a multidisciplinary data-generation project designed to create and share a multimodal dataset optimized for artificial intelligence research in type 2 diabetes mellitus.

Ahmad, Lim, Morieri, Tam et al perform a systematic review and meta-analysis of biomarkers, genetic markers, and risk scores for prediction of cardiovascular outcomes in Type 2 diabetes. A few prognostic markers are identified that provide incremental predictive utility beyond established cardiovascular risk factors.

Takele et al. conduct a systematic review and meta-analysis of the effects of intervention characteristics on preventing gestational diabetes. Group or healthcare facility-based physical activity interventions are found to be more effective in preventing gestational diabetes than community-based interventions.

Jacobsen, Sherr et al. evaluate the utility of novel technologies in the treatment of type 1 diabetes. Their systematic review finds technologies such as continuous glucose monitoring, insulin pumps, and decision support tools improve important measures (e.g., HbA1c, time in range, quality of life) allowing precision-directed uptake of technology.

Semnani-Azad et al. review the evidence on prognostic factors that predict cardiovascular disease and type 2 diabetes for women, and cardiometabolic profile in offspring subsequent to gestational diabetes. The evidence was of low quality, but some maternal characteristics were predictive of unfavourable outcomes in women and their offspring.

Misra, Wagner et al. systematically review if strategies to subclassify type 2 diabetes (T2D) are associated with high quality evidence and patient outcomes. Cluster-based stratification yields T2D subtypes that associate with outcomes, suggesting subclassification could have future clinical use.

Bodhini et al. systematically review the evidence on sociodemographic, clinical, behavioral, and molecular factors that modify the effect of interventions for type 2 diabetes prevention. The certainty of evidence that such factors modify the effectiveness of lifestyle and behavioral interventions is low to very low.

Murphy, Kevin, Pollin et al. perform a systematic review of the evidence on the criteria used to select individuals with diabetes for genetic testing and of the evidence for the optimal methods for variant detection in genes involved in monogenic diabetes. Based on the findings the authors make recommendations and highlight challenges for the field.

Young, McInnes, Massey et al. systematically review published studies evaluating features associated with heterogenous treatment effects for SGLT2-inhibitor and GLP1-receptor agonist therapies in people with type 2 diabetes. They find limited current evidence on treatment effect heterogeneity, for glycaemic, cardiovascular and renal outcomes.

Semple et al. review the literature to assess the effects of pharmacologic or surgical interventions in monogenic insulin resistance when stratified by genotype. The evidence guiding genotype-specific treatment of monogenic insulin resistance is of low to very low quality, but suggestive of benefits of metreleptin, thiazolidinediones, and rhIGF-1.

Lim et al. perform a systematic review and meta-analysis to identify participant characteristics associated with response to gestational diabetes prevention. Characteristics such as BMI, polycystic ovary syndrome and being in the preconception phase could determine responses to certain preventive interventions.

This Perspective lays out the impetus and goals of the Cellular Senescence Network established to comprehensively identify and characterize senescent cells (SnCs) across tissues and lifespan, providing a publicly available SnC atlas.