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The prevalence of Alzheimer’s disease neuropathological changes is reported based on blood-based biomarkers in a Norwegian population-based cohort.

Genome-wide association meta-analysis identifies 58 independent risk loci for major anxiety disorders among individuals of European ancestry and implicates GABAergic signaling as a potential mechanism underlying genetic risk for these disorders.

Genome-wide association analyses using data from 19 biobanks identify variants influencing risk of thyroid diseases and yield polygenic risk scores associated with features of aggressive thyroid cancer.

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.

The APOE-ε4 allele is the strongest genetic risk factor for late-onset Alzheimer’s disease, but it is not deterministic. Here, the authors show that common genetic variation changes how APOE-ε4 influences cognition.

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.

The pathobiology of heart failure (HF) is incompletely understood. The authors identify 37 circulating proteins and 5 protein modules associated with HF risk, with several demonstrating causal effects on HF, risk factors, or cardiac dysfunction by Mendelian randomization analysis.

Observational studies have found overlap between Alzheimer’s disease and other diseases and phenotypes, although the causal relationships are unclear. Here, the authors perform an age-stratified phenome-wide association study of Alzheimer’s disease (AD) genetic liability and follow-up Mendelian randomization analyses to examine whether these phenotypes have a causal effect on AD.

Referential gestures such as pointing direct attention towards an object and have only been observed in apes and ravens. Vail et al. show that fish signal to indicate the location of hidden prey to hunting partners, demonstrating that referential gestures are not restricted to large-brained species.

Data provided by Amazonian peoples are used to estimate the value of wild animals as a source of food, including its spatial distribution and nutritional value, providing information that will be key for improved management of forest ecosystems in the region.

Multi-ancestry genome-wide and transcriptome-wide association studies of aortic stenosis identify more than 200 independent risk loci and provide insights into its genetic architecture.

This Resource paper presents a global SARS-CoV-2 phylogenetic tree of 4,471,579 high-quality genomes consistently constructed by Viridian, an efficient amplicon-aware assembler.

Genome-wide association meta-analyses identify more than 350 loci associated with atrial fibrillation. A polygenic score derived from these results improves atrial fibrillation risk prediction compared to published clinical and polygenic scores.

Analyses of height and body mass index in 119,000 sibling pairs show that linkage and genome-wide association signals colocalize. Further analyses suggest that family-based linkage signals are fully consistent with a highly polygenic architecture.

Large-effect variants in autism remain elusive. Here, the authors use long-read sequencing to assemble phased genomes for 189 individuals, identifying pathogenic variants in TBL1XR1, MECP2, and SYNGAP1, plus nine candidate structural variants missed by short-read methods.

How does the mammalian brain trigger prey-capture behavior? Shang et al. identify a subcortical circuit that transforms prey-derived sensory cues into predatory attack signals during hunting behavior in mice.

Genome-wide analyses identify 30 independent loci associated with obsessive–compulsive disorder, highlighting genetic overlap with other psychiatric disorders and implicating putative effector genes and cell types contributing to its etiology.

Family-based study designs have been applied to resolve confounding by population stratification, dynastic effects and assortative mating in genetic association analyses. Here, Brumpton et al. describe theory and simulations for overcoming such biases in Mendelian randomization through within-family studies.

X-chromosomal genetic variants are understudied but can yield valuable insights into sexually dimorphic human traits and diseases such as chronic kidney disease (CKD). Here, the authors perform a sex-stratified, cross-ancestry X-chromosome-wide association meta-analysis of seven kidney-related traits, with results including identification of four novel loci associated with the CKD-defining trait eGFR.

Here the authors present a framework for estimating disease risk using PGS accounting for country, age and sex. They find that PGSs have a significant sex-specific effect on common diseases, and their effect is typically larger in young individuals.

Within-sibship genome-wide association analyses using data from 178,076 siblings illustrate differences between population-based and within-sibship GWAS estimates for phenotypes influenced by demographic and indirect genetic effects.

Cristen Willer, Kristian Hveem and colleagues use an exome array to identify a coding variant in TM6SF2 that is associated with total cholesterol levels. They further show that transient overexpression of TM6SF2 or knockdown of Tm6sf2 in mice alters serum lipid profiles, implicating TM6SF2 as a causal regulator of lipid traits.

Analysis and modelling of locomotor characteristics of two pursuit predator–prey pairs show that hunts at lower speeds enable prey to use their maximum manoeuvring capacity and favour prey survival.

Genome-wide association analyses of 41,917 bipolar disorder cases and 371,549 controls of European ancestry provide new insights into the etiology of this disorder and identify novel therapeutic leads and potential opportunities for drug repurposing.

Maternal genome-wide analyses identify variants associated with gestational duration and preterm delivery. Maternal alleles positively associated with gestational duration exhibit negative fetal effects on birth weight, likely reflecting antagonistic pleiotropy.

WGS data were used from 347,630 individuals with European ancestry in the UK Biobank to obtain high-precision estimates of coding and non-coding rare variant heritability for 34 complex traits and diseases.

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.

Studies to identify maternal variants associated with preeclampsia have been limited by sample size. Here, the authors meta-analyze eight GWAS of 9,515 preeclamptic women, identifying five variants associated with preeclampsia and showing that genetic predisposition to hypertension is a major risk factor for preeclampsia.

An important risk factor for coronary artery disease is the level of blood lipids. Here the authors conduct an exome-wide association study in Chinese cohorts and identify three novel loci associated with lipid levels as well as three Asian-specific variants in known loci.

The results from a state-of-the-art suite of hydrodynamical cosmological zoom-in simulations show how globular clusters naturally emerge in the Standard Cosmology and also reveal the existence of a new class of object called globular-cluster-like dwarfs.

Genomic analyses applied to 14 childhood- and adult-onset psychiatric disorders identifies five underlying genomic factors that explain the majority of the genetic variance of the individual disorders.