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Hugh Watkins, Sekar Kathiresan, Ruth McPherson, Martin Farrall and colleagues report the results of a large genome-wide association meta-analysis of coronary artery disease based on 1000 Genomes imputation. They identify ten new risk loci and show that susceptibility to this disease is largely determined by common SNPs with small effect sizes.

Genome-wide association analyses, functionally informed fine-mapping and complementary gene prioritization approaches identify new risk loci and candidate effector genes for CAD.

Sekar Kathiresan and colleagues examine 185 common variants using a modified mendelian randomization approach and provide evidence supporting a causal role of triglyceride-rich lipoproteins in the development of coronary artery disease.

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.

Sekar Kathiresan et al. report genome-wide association studies for polygenic dyslipidemia. From a meta-analysis of seven genome-wide association studies and follow-up in five replication studies, they identify 11 new genetic associations for LDL cholesterol, HDL cholesterol and triglycerides.

Patricia Munroe, Christopher Newton-Cheh, Andrew Morris and colleagues perform association studies in over 340,000 individuals of European ancestry and identify 66 loci, of which 17 are novel, involved in blood pressure regulation. The risk SNPs are enriched for cis-regulatory elements, particularly in vascular endothelial cells.

Exome-wide analysis identifies rare and low-frequency coding variants associated with body mass index. Gene-based meta-analysis and functional studies implicate 13 genes, eight of which are novel, and neuronal pathways as factors in human obesity.

Here the authors provide an explanation for 95% of examined predicted loss of function variants found in disease-associated haploinsufficient genes in the Genome Aggregation Database (gnomAD), underscoring the power of the presented analysis to minimize false assignments of disease risk.

Cristen Willer and colleagues report genome-wide association analyses for blood lipid levels in 188,578 individuals. They identify 62 loci newly associated with blood lipid levels, refine the association signals at 12 loci and examine associations with cardiovascular and metabolic traits.

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.

The elongation factor Elf1 functions in transcription coupled-nucleotide excision repair (TC-NER), but the mechanism by which yeast Elf1 promotes repair was unclear. Here, the authors show that Elf1 promotes TC-NER by binding TFIIH through a conserved sequence motif in its C-terminal domain.

This large, multi-ethnic genome-wide association study identifies 97 loci significantly associated with atrial fibrillation. These loci are enriched for genes involved in cardiac development, electrophysiology, structure and contractile function.

Mark McCarthy, Michael Boehnke, Andrew Morris and colleagues perform large-scale association analyses using the Metabochip to gain insights into the genetic architecture of type 2 diabetes. They report several new susceptibility loci, including two that show sex-differentiated effects on disease risk.

Panos Deloukas, Nilesh Samani and colleagues report a large-scale association analysis using the Metabochip array in 63,746 coronary artery disease cases and 130,681 controls. They identify 15 susceptibility loci, refine previous associations and use network analysis to highlight biological pathways.

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.

By sequencing the exomes of 10,503 individuals living in Pakistan, the authors identify rare predicted loss-of-function mutations that are estimated to knock out genes and correlate these mutations with a broad range of phenotypes, providing a framework for a human knockout project.

Here, the authors suggest that nitric oxide (NO) is an endogenous epigenetic regulator of gene expression by inhibiting DNA demethylation enzymes (TET and ALKBH2) and increasing DNA methylation at gene regulatory loci throughout the genome.

Analysis of 97,691 high-coverage human blood DNA-derived whole-genome sequences enabled simultaneous identification of germline and somatic mutations that predispose individuals to clonal expansion of haematopoietic stem cells, indicating that both inherited and acquired mutations are linked to age-related cancers and coronary heart disease.

Association analyses in over 1 million individuals identify 535 new loci influencing blood pressure traits. The results provide new insights into blood pressure regulation and highlight shared genetic architecture between blood pressure and lifestyle exposures.

A large empirical assessment of sequence-resolved structural variants from 14,891 genomes across diverse global populations in the Genome Aggregation Database (gnomAD) provides a reference map for disease-association studies, population genetics, and diagnostic screening.

Erik Ingelsson and colleagues report a large-scale genome-wide meta-analysis for associations to the extremes of anthropometric traits, including body mass index, height, waist-to-hip ratio and clinical obesity. They identify four loci newly associated with height and seven loci newly associated with clinical obesity and find overlap in the genetic structure and distribution of variants identified for these extremes of the trait distributions and for the general population.

Andrew Morris, Mark McCarthy, Michael Boehnke and colleagues report a meta-analysis of genome-wide association studies for type 2 diabetes, including 26,488 cases and 83,964 controls from populations of European, east Asian, south Asian and Mexican and Mexican American ancestry. They identify seven loci newly associated with type 2 diabetes and examine the genetic architecture of disease across populations.

Around 1% of the A subgenome of modern bread wheat (Triticum aestivum) originates from einkorn (Triticum monococcum), the first domesticated wheat species.

Lipid concentration in the serum is one of the most important risk factors for coronary artery disease and can be targeted for therapeutic intervention. A genome-wide association study in >100,000 individuals of European ancestry now finds 95 significantly associated loci that also affect lipid traits in non-European populations. Among associated loci are those involved in cholesterol metabolism, known targets of cholesterol-lowering drugs and those that contribute to normal variation in lipid traits and to extreme lipid phenotypes.

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.

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.

Two side-by-side papers report that the transcription elongation factor ELOF1 drives transcription-coupled repair and prevents replication stress.

Exome sequence analysis of nearly 10,000 people was carried out to identify alleles associated with early-onset myocardial infarction; mutations in low-density lipoprotein receptor (LDLR) or apolipoprotein A-V (APOA5) were associated with disease risk, identifying the key roles of low-density lipoprotein cholesterol and metabolism of triglyceride-rich lipoproteins.

Pan-genomes provide useful resources for evolutionary studies, functional genomics and breeding of cultivated plants. Here, the authors report a new rice pan-genome including 73 Asian rice and two wild relatives (Oryza rufipogon and O. punctata), and reveal the prevalence and scale of large inversions across the pan-genome.

South Asia is home to almost 2 billion people but is extremely underrepresented in human genetics. This study uses genomes from ~5,000 South Asians to characterize genetic variation and help facilitate future South Asian genetic studies.

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

A non-coding polymorphism at a locus associated with myocardial infarction in humans creates a CCAAT/enhancer binding protein transcription factor binding site and alters the hepatic expression of the SORT1 gene. These authors show that modulating Sort1 levels in mouse liver alters levels of plasma low-density lipoprotein cholesterol and very low-density lipoprotein, potentially explaining why polymorphisms at this locus are associated with heart disease.

The influence of X chromosome genetic variation on blood lipids and coronary heart disease (CHD) is not well understood. Here, the authors analyse X chromosome sequencing data across 65,322 multi-ancestry individuals, identifying associations of the Xq23 locus with lipid changes and reduced risk of CHD and diabetes mellitus.

A genome-wide association study identifies 17 genetic loci that are associated with the risk of myeloproliferative neoplasms (MPNs), and shows that the modulation of haematopoietic stem cell function drives MPN risk.

The goals, resources and design of the NHLBI Trans-Omics for Precision Medicine (TOPMed) programme are described, and analyses of rare variants detected in the first 53,831 samples provide insights into mutational processes and recent human evolutionary history.

Fonio millet is a fast growing orphan cereal crop with a great potential for dryland agriculture. Here, the authors report chromosome-scale reference genome assembly and population genomic resources to shed light on genetic diversity, population structure and domestication of fonio millet.

The past decade has seen tremendous progress in understanding the genetic architecture of coronary artery disease (CAD). Khera and Kathiresan review research efforts that have improved our understanding of the genetic drivers of CAD, and discuss the promises and challenges of integrating genetic information into routine clinical practice.

Common genetic variants associated with plasma lipids have been extensively studied for a better understanding of common diseases. Here, the authors use whole-genome sequencing of 16,324 individuals to analyze rare variant associations and to determine their monogenic and polygenic contribution to lipid traits.

Circulating lipoprotein(a) is an important risk factor for cardiovascular disease and shows variability between different ethnic groups. Here, Zekavat et al. perform whole-genome sequencing in individuals of European and African ancestries and find ancestry-specific genetic determinants for lipoprotein(a) levels.

The Myocardial Infarction Genetics Consortium reports results of a genome-wide association study of early-onset myocardial infarction. The study analyzed common SNPs, common CNVs and rare CNVs and identified SNP alleles at three new loci associated with disease risk.

In a cynomolgus macaque model, CRISPR base editors delivered in lipid nanoparticles are shown to efficiently and stably knock down PCSK9 in the liver to reduce levels of PCSK9 and low-density lipoprotein cholesterol in the blood.

Genome sequencing has identified many recurrent mutations in melanoma. Here, we use targeted UV damage sequencing to show that many of these mutations are associated with UV damage hotspots that are linked to DNA binding by ETS transcription factors.

Trans-ethnic analyses of exome array data identify new risk loci for type 2 diabetes. Fine-mapping analyses using genome-wide association data show that the index coding variants represent the likely causal variants at only a subset of these loci.

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.

Kasiewicz et al. describe a structure-guided rational design approach to optimize a new GalNAc-Lipid nanoparticle that enables delivery of a base editing therapy in both low-density lipoprotein receptor-deficient and wild-type nonclinical models.

Patricia Munroe, Joanna Howson and colleagues genotype ∼350,000 individuals and identify 30 new blood pressure– or hypertension-associated risk loci. Their analyses provide insights into the pathophysiology of hypertension and highlight new potential targets for clinical intervention.

Ruth Loos and colleagues report results of a large genome-wide association study for body mass index. They identify 18 new loci associated with this trait, some of which map near key hypothalamic regulators of energy balance.

A genomic constraint map for the human genome constructed using data from 76,156 human genomes from the Genome Aggregation Database shows that non-coding constrained regions are enriched for regulatory elements and variants associated with complex diseases and traits.

Drugs targeting cardiovascular disease (CVD) can have negative consequences for liver function. Here, the authors combine genome wide analyses on 69,479 individuals to identify loss-of-function variants with beneficial effects on CVD-related traits without negative impacts on liver function.