ARG-Needle is a method to infer genome-wide genealogies from large-scale genotyping data that can be used in association analyses. Applied to UK Biobank data, genealogy-based testing finds more trait associations than using imputed genotypes.

A deep convolutional neural network calculates liability scores for chronic obstructive pulmonary disease (COPD) from raw spirogram traces and noisy medical-record-based labels in the UK Biobank. Genome-wide analyses using these scores replicate known loci for lung function and identify 67 new disease loci.

Genomic and transcriptomic analysis of 393 non-small cell lung cancer patients treated with checkpoint inhibitors identifies molecular features associated with response.

SOX9 titration in neural crest cells identifies regulatory elements and genes with sensitive or buffered responses. Sensitive genes are enriched for craniofacial disorder genes phenocopying SOX9, suggesting differential sensitivity contributes to phenotypic specificity.

Recurrent somatic mutations altering residues in the transmembrane domain of CADM1 are identified in aldosterone-producing adenomas. Follow-up studies implicate a role of gap junction communication in regulating aldosterone production.

Genome-wide association analyses of two oral glucose tolerance test-derived measures of postprandial insulin resistance discover ten new loci. Functional characterization identifies nine candidate genes implicated in the regulation of GLUT4.

Setaria pan-genome constructed using genome assemblies of 110 representative accessions and variation analyses provides insights into foxtail millet domestication and the genetic basis for crop improvement.

A mouse model of Down syndrome (DS) highlights the importance of triplication of the IFNR gene cluster for a variety of DS-associated traits. Copy number correction resulted in amelioration of multiple phenotypes associated with the condition.

Genome-wide studies of 1,916 plasma and urine metabolites from 5,023 participants of the German Chronic Kidney Disease study provide insights into systemic and kidney-specific enzymatic and transport processes.

Genome-wide association analyses identify risk loci for spontaneous coronary artery dissection and implicate arterial integrity and tissue-mediated coagulation in the disease etiology. Several risk variants show opposite effects on coronary artery disease risk.

Keeping up with the latest variant-related research is vital for genomic medicine. Here we present LitVar 2.0, a significantly improved web-based system to accurately search for genetic variants in the unstructured literature. LitVar 2.0 provides a unified search of full text and supplementary data, and improved variant recognition accuracy.

Current ontologies of race, ethnicity and genetic ancestry rely on categorization, but have limitations — as exemplified by multiracial individuals. We argue that including these individuals will foster inclusion by better capturing complex identities, with equity benefits for the full human population.