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.

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.

Analysis of rare coding variants in the UK Biobank identifies eight genes associated with adult cognitive function, including KDM5B. Rare and common variant signals overlap and contribute additively to the phenotype.

Analyses of whole-genome and RNA sequencing data from 2,733 African American, Puerto Rican and Mexican American individuals reveal ancestry-specific patterns in the genetic architecture of whole-blood gene expression.

Single-cell multiomic and functional characterization of human pancreatic islets identifies two beta cell subtypes correlated with type 2 diabetes progression that exhibit distinct gene regulatory programs and electrophysiological phenotypes.

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.