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Francesco Cucca, Serena Sanna, David Schlessinger, Gonçalo Abecasis and colleagues report genome-wide association analysis results for the levels of A1, A2 and fetal hemoglobin in a large Sardinian cohort. By integrating high-density array genotyping and whole-genome sequencing, they detect 23 associations at 10 loci and observe a wide range of pleiotropic effects of variants across the 3 hemoglobin types.

Results for the final phase of the 1000 Genomes Project are presented including whole-genome sequencing, targeted exome sequencing, and genotyping on high-density SNP arrays for 2,504 individuals across 26 populations, providing a global reference data set to support biomedical genetics.

Iris Heid, Gonçalo Abecasis, Sudha Iyengar and colleagues report the results of a large genome-wide association meta-analysis of macular degeneration based on over 43,000 subjects. They identify 16 new risk loci, including some very rare coding variants.

Gonçalo Abecasis and colleagues report a large-scale meta-analysis of genome-wide association studies for age-related macular degeneration (AMD), including over 17,100 advanced cases and 60,000 controls. They identify seven loci newly associated with AMD and report pathway analysis that shows enrichment in the complement system and atherosclerosis signaling.

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.

Joel Hirschhorn and colleagues report results of a large-scale genome-wide association and replication study for obesity-related traits. The newly discovered loci are enriched for genes expressed in the central nervous system, and may thus contribute to weight gain by modulating food intake. Similar results are reported in a related study by Gudmar Thorleifsson and colleagues.

Gonçalo Abecasis, Francesco Cucca, David Schlessinger, Serena Sanna and colleagues report ~17.6 million genetic variants from whole-genome sequencing of 2,120 Sardinians. They assess the impact of these variants on circulating lipid levels and five inflammatory biomarkers.

The Genetic Association Information Network (GAIN) is a public-private partnership established to investigate the genetic basis of common diseases through a series of collaborative genome-wide association studies. GAIN has used new approaches for project selection, data deposition and distribution, collaborative analysis, publication and protection from premature intellectual property claims. These demonstrate a new commitment to shared scientific knowledge that should facilitate rapid advances in understanding the genetics of complex diseases.

This report from the 1000 Genomes Project describes the genomes of 1,092 individuals from 14 human populations, providing a resource for common and low-frequency variant analysis in individuals from diverse populations; hundreds of rare non-coding variants at conserved sites, such as motif-disrupting changes in transcription-factor-binding sites, can be found in each individual.

Gonçalo Abecasis, Dajiang Liu and colleagues report a meta-analysis framework to identify rare variant associations based on gene-level tests and the use of shared summary statistics provided by individual studies. They demonstrate their approach on a meta-analysis of blood lipid levels including 18,699 individuals, drawn from across 7 studies and genotyped with exome arrays.

Goncalo Abecasis and colleagues report identification of a rare coding variant in the complement 3 gene that is associated with age-related macular degeneration.

Francesco Cucca, David Schlessinger, John Novembre, Gonçalo Abecasis and colleagues present sequencing-based whole-genome association analyses for stature in Sardinia and identify two variants that lead to reduced height. Their findings suggest that shorter stature was selected for in Sardinia.

Christian Fuchsberger, Gonçalo Abecasis and colleagues describe a new web-based imputation service that enables rapid imputation of large numbers of samples and allows convenient access to large reference panels of sequenced individuals. Their state space reduction provides a computationally efficient solution for genotype imputation with no loss in imputation accuracy.

Comparison of association signals in UK Biobank using different strategies for assessing genetic variation shows that whole-exome sequencing combined with array genotyping and imputation offers similar performance to whole-genome sequencing at a reduced cost.

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.

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.

The eighth annual Human Genome Variation Meeting was held in September 2006 in the Hong Kong Special Administrative Region, China. The meeting highlighted recent advances in characterization of genetic variation, including genome-wide association studies and structural variation.

Jonathan Marchini, Gonçalo Abecasis, Richard Durbin and colleagues describe the construction of a reference panel of human haplotypes from whole-genome sequencing data. They are able to use this to accurately impute genotypes at low minor allele frequency and present remote server resources for use by the community.

Gonçalo Abecasis and colleagues report associations with fasting plasma glucose levels in a collection of ten genome–wide association scans from the MAGIC consortium. They find variants in the gene encoding melatonin receptor 1B that are associated with fasting glucose levels and, in a meta-analysis of 13 case-control studies, also show association with increased risk of type 2 diabetes.

Gonçalo Abecasis, Chaolong Wang and colleagues report a new statistical method, implemented in a publicly available software program LASER, to estimate an individual's genetic ancestry directly from off-target sequence reads from targeted sequencing experiments, making use of a reference panel. Their simulations and testing on real data sets show accurate inference of worldwide continental ancestry with whole-genome shotgun coverage as low as 0.001× and of fine-scale ancestry within Europe with coverage as low as 0.1×.

Gonçalo Abecasis, Jonathan Marchini and colleagues report a pre-phasing strategy for genotype imputation in GWAS, which they show maintains accuracy while substantially lowering computational costs. Their approach has been implemented in both MACH and IMPUTE 2.0 software.

Joshua Bis, Christopher O'Donnell and colleagues report a meta-analysis of genome-wide association studies from the CHARGE Consortium that identifies loci associated with carotid intima media thickness and plaque. These are established measures of subclinical atherosclerosis that predict future cardiovascular disease events.

Francesco Cucca and colleagues perform a genome-wide association study for multiple sclerosis in Sardinians. The authors identify variants within CBLB that are associated with MS.

The goal of the 1000 Genomes Project is to provide in-depth information on variation in human genome sequences. In the pilot phase reported here, different strategies for genome-wide sequencing, using high-throughput sequencing platforms, were developed and compared. The resulting data set includes more than 95% of the currently accessible variants found in any individual, and can be used to inform association and functional studies.

Genome-wide analyses identify variants in B3GALT5 and ST6GAL1 associated with influenza susceptibility. Knockdown of ST6GAL1 in cell culture reduces influenza infectivity, likely by interfering with the glycoprotein modifications required for viral entry.

Genome-wide meta-analysis of SARS-CoV-2 susceptibility and severity phenotypes in up to 756,646 samples identifies a rare protective variant proximal to ACE2. A 6-SNP genetic risk score provides additional predictive power when added to known risk factors.

Whole-exome sequencing analysis of 454,787 individuals in the UK Biobank is used to examine the association of protein-coding variants with nearly 4,000 health-related traits, identifying 564 distinct genes with significant trait associations.

Analyses of genome and exome sequencing data identify rare coding and structural variants associated with atrial fibrillation and highlight genetic links between atrial fibrillation and cardiomyopathies.

Combining 32 genome-wide association studies with high-density imputation provides a comprehensive view of the genetic contribution to type 2 diabetes in individuals of European ancestry with respect to locus discovery, causal-variant resolution, and mechanistic insight.

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.

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.

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.

Genomic studies often lack representation from diverse populations, limiting equitable insights. Here, the authors show that the BIG Initiative captures extensive genetic diversity and reveals ancestry-linked health disparities in a community-based Mid-South cohort.

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.

John Chambers and colleagues identify common variants at four loci associated with serum creatinine levels, a marker of kidney function. Their findings provide insight into the pathways underlying susceptibility to chronic kidney disease.

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.

A dataset of coding variation, derived from exome sequencing of nearly one million individuals from a range of ancestries, provides insight into rare variants and could accelerate the discovery of disease-associated genes and advance precision medicine efforts.

Andre Franke and colleagues report a genome-wide association study for psoriasis vulgaris in a German cohort with replication in German and North American psoriasis cohorts. They identify variants in TRAF3IP2, encoding a protein involved in IL-17 mediated T-cell immune response, associated with psoriasis.

James Elder and colleagues report meta-analyses of two psoriasis genome-wide association studies with replication in additional cohorts. They make use of imputation using both the HapMap and initial 1000 Genomes Project datasets and identify three new psoriasis susceptibility loci.

Arne Pfeufer and colleagues report a genome-wide association study of the electrocardiographic measurement of PR interval in seven population-based cohorts in the CHARGE consortium. They identify nine loci associated with PR interval and highlight candidate genes with a role in ion channels and cardiac development.

Mapping genetic variants that cause changes in transcript levels is a new tool that can give insight into the biology of disease risk loci identified by genome-wide association studies; here the potential power and technical challenges of this approach are discussed.