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Genome-wide association meta-analysis of AAA identifies 121 independent risk loci and highlights potential therapeutic targets such as proprotein convertase, subtilisin/kexin-type 9 (PCSK9).

Genome-wide association meta-analyses among 1.4 million individuals identify 318 new risk loci for type 2 diabetes and provide insight into the contribution of these risk variants to diabetes-related vascular outcomes.

A genome-wide association study of thoracic aortic aneurysms and dissections (TAAD) in the Million Veteran Program identifies 17 new risk loci and demonstrates that the genetic architecture of TAAD mirrors that of other complex traits.

Analysis of genetic data and blood lipid measurements from over 300,000 participants in the Million Veteran Program identifies new associations for blood lipid traits.

Genome-wide analysis of venous thromboembolism identifies 22 new risk loci and facilitates construction of a polygenic risk score. Comparison to arterial vascular disease highlights shared pathophysiology and potential therapeutic strategies.

Zekavat, Matesanz, Viana-Huete et al. show an increased risk of peripheral artery disease and atherosclerosis in different vascular beds in patients with clonal hematopoiesis of indeterminate potential (CHIP) caused by mutations in DNA damage repair genes, such as TP53. Validations in a mouse model support the causal contribution of TP53-mutant CHIP to atherosclerosis.

A genome-wide association meta-analysis study of blood lipid levels in roughly 1.6 million individuals demonstrates the gain of power attained when diverse ancestries are included to improve fine-mapping and polygenic score generation, with gains in locus discovery related to sample size.

In this Review, Klarin and Natarajan discuss the implementation of polygenic risk scores in clinical medicine for risk prediction and screening algorithms for coronary artery disease, prioritization of patient subgroups that are likely to derive benefit from treatment, and efficient prospective clinical trial designs.

Improved biomarker-based tools for diagnosis and risk prediction of venous thromboembolism (VTE) are needed. Here, the authors show that Complement Factor H Related 5 protein, a regulator of the alternative pathway of complement activation, is a VTE-associated plasma biomarker in 5 independent cohorts.

To overcome limitations of previous genome-wide association studies of coronary artery disease, this study incorporates a cohort of individuals containing large fractions of Black and Hispanic individuals to provide a wider view of the genetic landscape of this disease.

Analysis of blood pressure data from the Million Veteran Program trans-ethnic cohort identifies common and rare variants, and genetically predicted gene expression across multiple tissues associated with systolic, diastolic and pulse pressure in over 775,000 individuals.

Trans-ancestry genome-wide analyses identify multiple loci associated with ascending aortic diameter. A polygenic score constructed from these loci predicted prevalent risk of thoracic aortic aneurysm in independent populations.

A multiancestry genome-wide association study of chronic alanine aminotransferase elevation identifies candidate risk loci for nonalcoholic fatty liver disease, with replication in external cohorts defined by histology or imaging.

A recent study by the GIGASTROKE consortium combines genetic discovery, fine-mapping and proteomic data to identify causal genes and variants related to disease. Results reveal known and new targets for prevention or treatment of stroke, and highlight the importance of genomics for drug discovery and development.

Sekar Kathiresan and colleagues perform a genome-wide association test for coronary artery disease (CAD) using data from the UK Biobank. They identify 15 new loci and perform phenome-wide association scanning, implicating insulin resistance pathways and transendothelial migration of leukocytes in CAD.

Examination of predicted loss-of-function (pLOF) genetic variants allows direct identification of genes with therapeutic potential. Here, Emdin et al. perform association analysis for 3759 pLOF variants with 24 traits and highlight protective variants against cardiometabolic and immune phenotypes.

The genetic underpinnings of alcohol use disorder and consumption are incompletely understood. Here, the authors perform GWAS for Alcohol Use Disorder (AUD) Identification Test-Consumption scores and AUD diagnosis from electronic health records of 274,424 individuals and identify a total of 18 associated loci.

Persistently low levels of estimated glomerular filtration rate (eGFR) are a biomarker of chronic kidney disease. Here, the authors reinterpret the genetic architecture of kidney function across ancestries, to identify not only genes, but the tissue and anatomical contexts of renal homeostasis.

STAARpipeline is a comprehensive framework for flexible and scalable rare-variant association analysis using whole-genome sequencing data and annotation information.

A genome-wide association study using electronic health record data in the Million Veteran Program uncovers new genetic loci associated specifically with peripheral artery disease, as compared to stroke or coronary artery disease.

Exome-wide genetic analysis on >300,000 individuals identifies associations with plasma lipid traits. Loci significantly associated with cholesterol and triglycerides are examined together to determine the effects of alleles on type 2 diabetes and coronary artery disease risk.

Patrick Ellinor and colleagues report meta-analyses of common and rare variant association studies for atrial fibrillation across multiple populations. They identify 12 new loci, some of which implicate genes in atrial electrical and mechanical function.

STAAR is a powerful rare variant association test that incorporates variant functional categories and complementary functional annotations using a dynamic weighting scheme based on annotation principal components. STAAR accounts for population structure and relatedness and is scalable for analyzing large whole-genome sequencing studies.