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John Perry, Ken Ong and colleagues analyze genotype data on ∼370,000 women and identify 389 independent signals that associate with age at menarche, implicating ∼250 genes. Their analyses suggest causal inverse associations, independent of BMI, between puberty timing and risks for breast and endometrial cancers in women and prostate cancer in men.

Anna Köttgen and colleagues report genome-wide association studies for serum urate in over 140,000 individuals from the Global Urate Genetics Consortium (GUGC). They identify 18 loci newly associated with serum urate concentrations and confirm 10 known loci, characterize their associations with gout and include a network analysis suggesting a role for inhibins-activins pathways in regulating urate homeostasis.

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.

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.

Integration of GWAS and single-cell transcriptomic data from the entire nervous system systematically identifies cell types underlying brain complex traits and provides insights into the etiology of Parkinson’s disease.

Approximately 30% of psoriasis patients develop psoriatic arthritis (PsA) and early diagnosis is crucial for the management of PsA. Here, Patrick et al. develop a computational pipeline involving statistical and machine-learning methods that can assess the risk of progression to PsA based on genetic markers.

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.

Mendelian randomization (MR) identifies causal relationships from observational data but has increased error rates when the genetic variants used as instruments come from a single region, a typical scenario when assessing molecular traits like protein or metabolite levels as risk factors. Here the authors introduce a single-region pleiotropy-robust MR method, validating the method on three ground truth sources, showing its capability to identify disease-causing molecular traits.

A global network of researchers was formed to investigate the role of human genetics in SARS-CoV-2 infection and COVID-19 severity; this paper reports 13 genome-wide significant loci and potentially actionable mechanisms in response to infection.

A mega-analysis of whole-genome data from seven populations demonstrates substantial hidden heritability for educational attainment and reproductive behaviour, highlighting the importance of sample-specific gene–environment interaction in complex traits.

Male pattern baldness (MBP) is a complex trait that has genetic associations. Here, Pirastu and colleagues perform a genome-wide association study to show 71 susceptibility loci associated with MBP — 30 of which are novel — and that these loci can explain 38% of heritability.

A novel multistep strategy reveals how parent-of-origin effects shape complex traits in large-scale biobanks.

A cross-ancestry meta-analysis of genome-wide association studies identifies association signals for stroke and its subtypes at 89 (61 new) independent loci, reveals putative causal genes, highlighting F11, KLKB1, PROC, GP1BA, LAMC2 and VCAM1 as potential drug targets, and provides cross-ancestry integrative risk prediction.

This study provides a cross-trait atlas of genetic and phenotypic associations across 42 female reproductive health diagnoses.

Genome-wide association analyses identify 13 loci associated with gestational diabetes, showing partial overlap with type 2 diabetes risk loci but also distinct genetic architecture predominantly influencing pregnancy-related mechanisms.

Whole-genome sequencing, transcriptome-wide association and fine-mapping analyses in over 7,000 individuals with critical COVID-19 are used to identify 16 independent variants that are associated with severe illness in COVID-19.

Analysis of large genomic datasets, including gnomAD, reveals that partial LRRK2 loss of function is not strongly associated with diseases, serving as an example of how human genetics can be leveraged for target validation in drug discovery.

A strategy for inferring phase for rare variant pairs is applied to exome sequencing data for 125,748 individuals from the Genome Aggregation Database (gnomAD). This resource will aid interpretation of rare co-occurring variants in the context of recessive disease.

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.

Identifying individuals at high risk for chronic diseases can improve prevention. Here, the authors show that blood metabolomics scores effectively stratify disease risk and compare favorably to genetic and clinical scores in population biobanks.

This very large genome-wide association study identifies hundreds of new genetic variants influencing adult height in at least 180 loci enriched for genes involved in skeletal growth defects. The results show that the likely causal gene is often located near the most strongly associated variant, that many loci have multiple independently associated variants and that associated variants are enriched for likely functional effects on genes.

Genome-wide analyses identify variants associated with infertility and reproductive hormone levels but find limited polygenic overlap between reproductive hormone levels and infertility at the population level.

Benjamin et al. construct polygenic indexes (DNA-based predictors) for 47 phenotypes and make them available to researchers in 11 datasets. They also present a theoretical framework and estimator to help interpret analyses using polygenic indexes.

A large-scale meta-analysis across eight biobank datasets identifies common genetic variants associated with mosaic loss of the X chromosome in female participants.

A genome-wide association study in ~3 million individuals identifies 3,952 independent variants associated with educational attainment. A polygenic index explains 12–16% of variance for this trait and contributes to risk prediction for ten diseases.

Genome-wide analyses identify eight independent loci associated with anorexia nervosa. Genetic correlations implicate both psychiatric and metabolic components in the etiology of this disorder, even after adjusting for the effects of common variants associated with body mass index.

Large-scale biobanks have become a font of data that have led to discoveries across many fields of research. Here, the authors provide an overview of the Estonian Biobank, highlighting its value for research and towards personalized medicine.

Multi-nucleotide variants (MNV) are genetic variants in close proximity of each other on the same haplotype whose functional impact is difficult to predict if they reside in the same codon. Here, Wang et al. use the gnomAD dataset to assemble a catalogue of MNVs and estimate their global mutation rate.

Blood pressure (BP) is a major risk factor for cardiovascular disease and more than 200 genetic loci associated with BP are known. Here, the authors perform discovery GWAS for BP in East Asians and meta-analysis in East Asians and Europeans and report ancestry-specific BP SNPs and selection signals.

Upstream open reading frames (uORFs), located in 5’ untranslated regions, are regulators of downstream protein translation. Here, Whiffin et al. use the genomes of 15,708 individuals in the Genome Aggregation Database (gnomAD) to systematically assess the deleteriousness of variants creating or disrupting uORFs.

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.

A novel variant annotation metric that quantifies the level of expression of genetic variants across tissues is validated in the Genome Aggregation Database (gnomAD) and is shown to improve rare variant interpretation.

Sexual dimorphism in genetic vulnerability to schizophrenia, systemic lupus erythematosus and Sjögren’s syndrome is linked to differential protein abundance from alleles of complement component 4.

A catalogue of predicted loss-of-function variants in 125,748 whole-exome and 15,708 whole-genome sequencing datasets from the Genome Aggregation Database (gnomAD) reveals the spectrum of mutational constraints that affect these human protein-coding genes.

Paul Elliott, Martin Tobin, Cornelia van Duijn and colleagues report a genome-wide association study for pulse pressure and mean arterial pressure, identifying six new loci influencing these two traits.

A meta-analysis of genome-wide association studies of phenotypic variation for height and body mass index in human populations using 170,000 samples shows that one single nucleotide polymorphism at the FTO locus, which is associated with obesity, is also associated with phenotypic variation.

Here 106 genomic loci associated with age at menarche, a marker of puberty timing in females, are identified; these loci show enrichment for genes involved in nuclear hormone receptor function, body mass index, and rare disorders of puberty, and for genes located in imprinted regions, with parent-of-origin specific effects at several loci.

Nilesh Samani and colleagues report a meta-analysis of genome-wide association studies for mean leukocyte telomere length in 37,684 individuals, with replication of selected variants in an additional 10,739 individuals. They identify seven loci associated with mean telomere length, including two that have been associated with several cancers, and also find that alleles associated with shorter telomere length were associated with a higher risk of coronary artery disease.

Kari Stefansson and colleagues report genome-wide meta-analyses for association to smoking behaviors within the population cohorts of the ENGAGE consortium. They report three loci associated to cigarettes smoked per day.

Immune genes under selection can shed light on phenotypes contributing to survival and modern inflammatory conditions. Here, the authors prioritize adaptive disease variants in 535 risk loci for 21 inflammatory conditions and report promising SNPs for functional studies with predictions of cell context and function.

Here, the authors identify six genetic variants associated with adult weight-change, by leveraging 24.5 million weight records from the UK, USA, and Estonia. These variants influence weight change independently of baseline weight.

Pernicious anemia shows co-incidence with autoimmune disorders, yet the genetic basis for this condition is understudied. Here, the authors perform a genome-wide association study meta-analysis on pernicious anemia, identifying five susceptibility loci that map to genes with known roles in autoimmune disease.

Although pelvic organ prolapse is a common gynecological condition, the genetic component of disease risk is not well known. Here the authors find common genetic variants associated with the disease and present a polygenic risk score to enhance individual risk prediction.

Association studies of up to 1.2 million individuals identify 566 genetic variants in 406 loci associated with tobacco use and addiction (initiation, cessation, and heaviness) as well as alcohol use, with 150 loci showing pleiotropic association.

Depression is correlated with many brain-related traits. Here, Shen et al. perform phenome-wide association studies of a depression polygenic risk score (PRS) and find associations with 51 behavioural and 26 neuroimaging traits which are further followed up on using Mendelian randomization and mediation analyses.

Many genetic variants identified in genome-wide association studies are associated with gene expression. Here, Porcu et al. propose a transcriptome-wide summary statistics-based Mendelian randomization approach (TWMR) that, applied to 43 human traits, uncovers hundreds of previously unreported gene–trait associations.

Environmental influences during prenatal development may have implications for health and disease later in life. Here, Czamara et al. assess DNA methylation in cord blood from new-born under various models including environmental and genetic effects individually and their additive or interaction effects.