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The natural history and treatment landscape of primary brain tumours are complicated by the varied tumour behaviour of primary or secondary gliomas (high-grade transformation of low-grade lesions), as well as the dilemmas with identification of radiation necrosis, tumour progression, and pseudoprogression on MRI. Radiomics and radiogenomics promise to offer precise diagnosis, predict prognosis, and assess tumour response to modern chemotherapy/immunotherapy and radiation therapy. This is achieved by a triumvirate of morphological, textural, and functional signatures, derived from a high-throughput extraction of quantitative voxel-level MR image metrics. However, the lack of standardisation of acquisition parameters and inconsistent methodology between working groups have made validations unreliable, hence multi-centre studies involving heterogenous study populations are warranted. We elucidate novel radiomic and radiogenomic workflow concepts and state-of-the-art descriptors in sub-visual MR image processing, with relevant literature on applications of such machine learning techniques in glioma management.

Maturity onset diabetes of the young (MODY) is a monogenic form of diabetes attributed to a highly penetrant variant in one of several genes, including GCK. GCK-MODY rarely requires pharmacotherapy, however, the clinical management of pregnant mothers depends on whether the fetus inherited the GCK variant. The classic GCK-MODY phenotype is young (diagnosed before 25 years), lean (BMI < 25 mg/kg2), with stable, mild hyperglycemia (Hba1c 5.8-7.6%). We hypothesized that strict application of these guidelines has led to under-reporting of GCK-MODY (prevalence 1.1 per 1000). In a cohort of 92,412 individuals from the DiscovEHR study, we identified 252 heterozygous carriers of 88 rare GCK variants (minor allele frequency < 0.02%). None had an existing diagnosis of monogenic diabetes. The median BMI of GCK carriers was 35 mg/kg2, compared to 31 mg/kg2 for nondiabetic noncarriers and 38 mg/kg2 for noncarriers with type 2 diabetes (T2D). Excluding variants with no evidence of hyperglycemia in 50% of the carriers resulted in 70 variants in 213 individuals. GCK-MODY variant carriers had mean HbA1c, fasting blood glucose (FBG), and random glucose measurements that were greater than nondiabetic non-carriers but less than those with T2D. Kaplan-Meier analysis adjusted for left-truncation bias showed that the age at which 50% of GCK-MODY subjects diagnosed with impaired fasting glucose and diabetes is 35 and 55 years, respectively, compared to 60 and 65 years in non-carriers with T2D (p< 2e-16). Within-individual variability of lifetime FBG measurements of GCK-MODY carriers was less than noncarriers with T2D (GCK-MODY, 7.9 ± 2.0 mg/dL; T2D, 17.6 ± 0.03 mg/dl, p Disclosure U.L. Mirshahi: None. J.M. Goehringer: None. Y. Hu: None. A.H. Wardeh: None. J. Williams: None. C.B. Manney: None. J.C. Staples: Employee; Self; Regeneron Pharmaceuticals. J.B. Leader: None. A.R. Shuldiner: Employee; Self; Regeneron Pharmaceuticals. Stock/Shareholder; Self; Rhythm Pharmaceuticals, Inc. T.I. Pollin: Other Relationship; Self; Regeneron Genetics Center. D.J. Carey: None.

Precision health initiatives and reduced sequencing costs are driving large-scale human genome analyses. Genetic variant curation is a bottleneck in clinical applications. The burden of variant curation can be high for newly discovered variants because they are less likely to have undergone previous clinical annotation; the rate of discovery of genetic variants in large clinical populations has not been empirically determined. We determined the rate of accrual of unique sequence variants in 90,000 exome sequences. Separate analyses were done for 17,267 autosomal genes and a subset of 74 actionable genes; the effect of relatedness in the cohort was also determined. Variant discovery showed a nonlinear growth pattern. The rate of unique variant accrual decreased as the database size increased; by 90,000 exomes 97% of all projected coding and splicing variants had been observed. Variants in 74 actionable genes showed a similar pattern. Family relatedness slightly reduced the rate of discovery of unique variants. The heaviest burden of interpretation for genetic variants occurs early and diminishes as the database size increases. Our data provide a framework for scaling pathogenic genetic variant discovery and curation, a critical element of patient care in the era of precision health.

Unleashing the power of precision medicine Precision medicine promises the ability to identify risks and treat patients on the basis of pathogenic genetic variation. Two studies combined exome sequencing results for over 50,000 people with their electronic health records. Dewey et al. found that ∼3.5% of individuals in their cohort had clinically actionable genetic variants. Many of these variants affected blood lipid levels that could influence cardiovascular health. Abul-Husn et al. extended these findings to investigate the genetics and treatment of familial hypercholesterolemia, a risk factor for cardiovascular disease, within their patient pool. Genetic screening helped identify at-risk patients who could benefit from increased treatment. Science , this issue p. 10.1126/science.aaf6814 , p. 10.1126/science.aaf7000