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Polygenic scores for body mass index and obesity constructed using data from 5 million people with different ancestries were associated with distinct weight gain trajectories from early childhood to adulthood.

Urinary albumin-to-creatinine ratio (UCAR) is associated with various clinical outcomes such as kidney disease and cardiovascular disease. Here, the authors report genome-wide meta-analysis in over 500,000 individuals and find 68 UACR loci, followed by statistical fine-mapping, gene prioritization and experimental validation in flies.

MultiSTAAR provides a general and flexible statistical framework for functionally informed multi-trait rare variant analysis of biobank-scale sequencing studies by jointly analyzing multiple traits and incorporating annotation information.

Complement proteome engagement is strongly linked to kidney outcomes in diabetes. This translational study leveraged five cohorts of over 4,500 person-years and high-throughput proteomics to enable potential biomarker-guided drug development.

A large genome-wide association study of more than 5 million individuals reveals that 12,111 single-nucleotide polymorphisms account for nearly all the heritability of height attributable to common genetic variants.

Using data from a single time point, passenger-approximated clonal expansion rate (PACER) estimates the fitness of common driver mutations that lead to clonal haematopoiesis and identifies TCL1A activation as a mediator of clonal expansion.

Here the authors conduct a multi-ancestry meta-analysis of telomere length, used diverse approaches to identify genes underlying association signals, and experimentally validated POP5 and KBTBD6 as regulators of telomere length in human cells.

A meta-analysis of genome-wide association studies of type 2 diabetes (T2D) identifies more than 600 T2D-associated loci; integrating physiological trait and single-cell chromatin accessibility data at these loci sheds light on heterogeneity within the T2D phenotype.

Here, the authors leverage whole-genome sequencing from >88,000 diverse individuals to uncover 18 BMI-related genetic signals, including novel variants in participants of African genetic ancestry, highlighting the value of diversity in genetic discovery.

Whole genome sequences enable discovery of rare variants which may help to explain the heritability of common diseases. Here the authors find that ultra-rare variants explain ~50% of coronary artery disease (CAD) heritability and highlight several functional processes including cell type-specific regulatory mechanisms as key drivers of CAD genetic risk.

Reduced glomerular filtration rate (eGFR) is a hallmark of chronic kidney disease. Here, Pattaro et al. conduct a meta-analysis to discover several new loci associated with variation in eGFR and find that genes associated with eGFR loci often encode proteins potentially related to kidney development.

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

Genome-wide association and fine-mapping analyses in ancestrally diverse populations implicate candidate causal genes and mechanisms underlying type 2 diabetes. Trans-ancestry genetic risk scores enhance transferability across populations.

Although the common genetic variants contributing to blood lipid levels have been studied, the contribution of rare variants is less understood. Here, the authors perform a rare coding and noncoding variant association study of blood lipid levels using whole genome sequencing data.

Inbreeding depression has been observed in many different species, but in humans a systematic analysis has been difficult so far. Here, analysing more than 1.3 million individuals, the authors show that a genomic inbreeding coefficient (FROH) is associated with disadvantageous outcomes in 32 out of 100 traits tested.

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.

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.

A multi-ancestry genome-wide gene–smoking interaction study identifies 13 new loci associated with serum lipids.

Trans-ancestry meta-analysis of estimated glomerular filtration rate (eGFR) from 1,046,070 individuals identifies 264 associated loci, providing a resource of molecular targets for translational research of chronic kidney disease.

GWAS have identified more than 500 genetic loci associated with blood lipid levels. Here, the authors report a genome-wide analysis of interactions between genetic markers and physical activity, and find that physical activity modifies the effects of four genetic loci on HDL or LDL cholesterol.

Prostate cancer (PrCa) involves a large heritable genetic component. Here, the authors perform multivariate fine-mapping of known PrCa GWAS loci, identifying variants enriched for biological function, explaining more familial relative risk, and with potential application in clinical risk profiling.

Multi-ancestry genome-wide association meta-analysis identifies new risk loci for CAC. Functional evidence implicates candidate causal genes as regulators of smooth muscle cell-mediated calcification.

The term 'hypertensive nephrosclerosis' is often used to define chronic kidney disease in non-diabetic patients with mild-to-moderate hypertension and low level or absent proteinuria; however, this terminology implies that the hypertension is causative of the kidney disease. Here, Barry Freedman and Arthur Cohen describe the differences between genetically mediated forms of glomerulosclerosis and arteriolar nephrosclerosis that is potentially related to hypertension and other vascular disease risk factors. They argue that the term 'hypertensive nephrosclerosis' should be replaced with terminology that better reflects the underlying disease aetiology, to improve diagnostic accuracy in this field.

Genome-wide association studies have identified regions which confer risk of high-grade serous epithelial ovarian cancer. Here the authors use expression quantitative train locus analysis to identify candidate genes and functionally characterise them, identifying a role for HOXD9 in ovarian cancer.

A multi-ancestry meta-regression study analyses diverse genome-wide association studies and genome loci associated with tobacco and alcohol use.

The team of authors led by Seon-Kyeong Jang use whole-genome sequencing data and show that rare genetic variants explain much of the ‘missing heritability’ in smoking behaviours. These results help address a long-standing mystery in behavioural genetics.

MetaSTAAR enables functionally informed rare variant association analysis in biobank-scale cohorts using an efficient, sparse matrix approach for summary statistic storage.

Three large-scale association studies provide insights into the genetic architecture of blood pressure regulation, identifying new common variants of modest effect and providing insights into the impact of rare and low-frequency variants. The findings suggest that newly identified variants act through indirect disease pathways and suggest targeting of causal networks might improve outcomes in patients with hypertension.

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.

Luis Pérez-Jurado, Stephen Chanock and colleagues detect clonal chromosomal abnormalities in peripheral blood or buccal samples from individuals in the general population. They show that the frequency of such events increases with age and is associated with elevated risk of developing subsequent hematological cancers.

Systemic lupus erythematosus (SLE) is an autoimmune disease with a strong ethnic and gender bias. In a transancestral genetic association study, Langefeldet al. identify 24 novel regions associated with risk to lupus and propose a cumulative hits hypothesis for loci conferring risk to SLE.

Sequencing data from two large-scale studies show that most of the genetic variation influencing the risk of type 2 diabetes involves common alleles and is found in regions previously identified by genome-wide association studies, clarifying the genetic architecture of this disease.

In 2013, substantial progress was made in uncovering the genetic basis of a variety of kidney and urological disorders, including congenital and developmental diseases. The new findings will lead to an increased understanding of the pathophysiology of these diseases, improved risk prediction and the development of novel therapies.

Inverse associations between bone mineral density and calcified atherosclerotic plaque are observed in individuals of European and African ancestry without nephropathy, suggesting a mechanistic link between these processes that is independent of kidney disease. Here, the authors discuss genetic and mechanistic approaches used to explore these differences, and explain how these findings could further our understanding of bone–blood vessel relationships.

A new population-based study of a Norwegian registry containing data on more than 5 million individuals has confirmed the existence of powerful familial clustering of complex aetiologies of end-stage renal disease. Novel strategies for identifying additional nephropathy risk genes will benefit from such large familial registries.

Linda Kao and colleagues use admixture mapping to identify risk variants in MYH9 associated with nondiabetic end-stage renal disease in African Americans. The risk variants are more common in populations with West African ancestry and contribute to the excess burden of end-stage kidney diseases in these populations. A similar finding is reported in an accompanying paper by Cheryl Winkler and colleagues.

Chromosome 8q24 is known to be a major susceptibility region for prostate cancer risk. Here the authors analyze genetic data across the 8q24 region from 71,535 prostate cancer patients identifying 12 risk loci, three previously unreported, highlighting the contribution of germline variation at this locus.

A new report suggests that differences in albuminuria might contribute to disparities in susceptibility to nephropathy in African American and white individuals. Interpretation of this finding requires consideration of renal histology, clinical trials and genetic studies. These factors indicate that a far more complex scenario is likely to exist than previously thought.

Genome-wide association studies (GWAS) have identified hundreds of genomic risk regions for prostate cancer. Here, the authors perform a transcriptome wide association study (TWAS) by incorporating prostate cancer GWAS with gene expression data to identify potential novel prostate cancer risk loci and possible risk mechanisms.

A complex of suPAR and high-risk variants of APOL1 acting on integrin signaling in the kidney contributes to APOL1-associated chronic kidney disease.

Cheryl Winkler and colleagues use admixture mapping to identify risk variants in MYH9 associated with focal segmental glomerulosclerosis and end-stage renal disease in African Americans. The risk variants are more common in populations with West African ancestry and contribute to the excess burden of end-stage kidney diseases in these populations. A similar finding is reported in an accompanying paper by Linda Kao and colleagues.