Search

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.

David Altshuler and colleagues report the design of a hybrid SNP-CNV genotyping array (Affymetrix SNP 6.0 Array) allowing for integrated SNP and CNV detection. They describe its application to 270 HapMap samples to compile a high-resolution map of over 1,500 copy number polymorphisms, and related population-genetic analyses.

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.

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.

David Altshuler and colleagues compare strategies to fine map the association of common variants at 9p21 with type 2 diabetes and myocardial infarction. Their study provides an empirical assessment of the performance of targeted sequencing and imputation-based approaches to comprehensively assess genetic variation in disease-associated regions.

Here, the analysis of 'HapMap 3' is reported — a public data set of genomic variants in human populations. The resource integrates common and rare single nucleotide polymorphisms (SNPs) and copy number polymorphisms (CNPs) from 11 global populations, providing insights into population-specific differences among variants. It also demonstrates the feasibility of imputing newly discovered rare SNPs and CNPs.

Innovation straddles policy, change management, budgeting, negotiating and influencing skills. Researchers need all these and more, says David Bogle.

David Altshuler and colleagues sequenced seven genes for maturity-onset diabetes of the young (MODY), a dominant Mendelian disorder, in 4,003 individuals drawn from three population-based cohorts. They find ~2% of individuals unselected for phenotype carry low frequency variants in one of these MODY genes, predicted as likely to be pathogenic; however most of these individuals remain asymptomatic through middle age.

David Altshuler and colleagues report genotyping or sequencing of ∼150,000 individuals from several population-based cohorts, identifying 12 rare protein-truncating variants in SLC30A8, encoding a pancreatic islet zinc transporter. Carriers of these rare protein-truncating variants in SLC30A8 show reduced risk of type 2 diabetes and reduced glucose levels.

David Altshuler and colleagues describe analysis for integrating genotype calling of SNPs, common copy number polymorphisms and rare CNVs, implemented in a suite of software programs collectively named Birdsuite.

A risk haplotype for type 2 diabetes is identified with four amino acid substitutions in SLC16A11, which is present at ∼50% frequency in Native American samples and ∼10% in east Asian samples, but is rare in European and African samples; SLC16A11 may alter hepatic lipid metabolism, causing an increase in triacylglycerol levels.

A consortium reports the tripling of the number of genetic markers in Phase II of the International HapMap Project. This map of human genetic variation will continue to revolutionize discovery of susceptibility loci in common genetic diseases, and study of genes under selection in humans.

David Altshuler and colleagues explore the genetic architecture of type 2 diabetes (T2D) using an integrated population genetics–based simulation framework calibrated with empirical data. Whereas they are able to exclude more extreme models, for example, those in which either common or rare variants explain all of the disease heritability, they find that a broad range of architecture remains consistent with current empirical data and suggest that continued large-scale sequencing and genotyping studies will be needed to more precisely characterize the genetic architecture of complex traits such as T2D.

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.

Hummingbirds are known to defy the predicted scaling relationships between body and wing size. Here, Skandalis et al. develop a ‘force allometry’ framework to show that, regardless of wing size, hummingbird species have the same wing velocity during flight.

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.

Jeanette Erdmann and colleagues identify a locus on chromosome 3q22.3 associated with coronary artery disease. The SNP with the strongest association is in MRAS, which encodes a membrane-anchored GTP-binding protein.

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.

Analyses of 3,514 whole-genome-sequenced individuals from Sardinia indicate that within-island substructure and sex-biased processes have impacted the genetic history of Sardinia, providing new insight into the demography of ancestral Sardinians.

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.

Kyle Gaulton, Mark McCarthy, Andrew Morris and colleagues report fine mapping and genomic annotation of 39 established type 2 diabetes susceptibility loci. They find that the set of potential causal variants is enriched for overlap with FOXA2 binding sites in human islet and liver cells, and they show that a likely causal variant near MTNR1B increases FOXA2-bound enhancer activity, providing a molecular mechanism to explain the effect of this locus on disease risk.

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.

Mark McCarthy and colleagues identify twelve new risk loci for type 2 diabetes through a large-scale genome-wide association and replication study in individuals of European ancestry. The identified loci affect both beta-cell function and insulin action and are enriched for genes involved in cell cycle regulation.

Exome-sequencing analyses of a large cohort of patients with type 2 diabetes and control individuals without diabetes from five ancestries are used to identify gene-level associations of rare variants that are associated with type 2 diabetes.

Sabeti et al. build on their This paper builds on previous work of detecting selection on human genes, using the many more markers available in the Phase II HapMap project. Three examples of apparent population-specific selection based on geographic area are described, and how these may relate to human biology is discussed.

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.

This paper examines eight individual genomes using a clone-based sequencing approach, for structural variants of 8,000 nucleotides or more. One of the first high-quality inversion maps for the human genome is generated, and it is demonstrated that previous estimates of variation of this sort have been too high.

Nicole Soranzo and colleagues report a meta-analysis of genome-wide association datasets identifying 22 associations to 8 clinically relevant hematological traits. They also identify a long-range haplotype at 12q24 that includes variants associated with platelet counts as well as coronary artery disease and shows evidence of a selective sweep in Europeans.

Genetic variation in ANGPTL4 is associated with lipid traits. Here, the authors find that predicted loss-of-function variants in ANGPTL4 are associated with glucose homeostasis and reduced risk of type 2 diabetes and that Angptl4^−/− mice on a high-fat diet show improved insulin sensitivity.

Sex differences in fasting glucose and insulin have been identified, but the genetic loci underlying these differences have not. Here, the authors perform a meta-analysis of genome-wide association studies to detect sex-specific and sex-dimorphic loci associated with fasting glucose and insulin.

This overview of the ENCODE project outlines the data accumulated so far, revealing that 80% of the human genome now has at least one biochemical function assigned to it; the newly identified functional elements should aid the interpretation of results of genome-wide association studies, as many correspond to sites of association with human disease.

Christopher Newton-Cheh and colleagues report a genome-wide association study for blood pressure traits as part of the Global BPgen consortium. They report eight loci with replicated association to systolic and/or diastolic blood pressure, with each also showing association to hypertension.

The Tobacco and Genetics Consortium report meta-analyses of several smoking phenotypes across 16 cohorts including 74,053 individuals. They identify three loci associated with cigarettes smoked per day.

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.

Mark Daly, Manuel Rivas and colleagues used next-generation sequencing to study the coding exons of 56 genes from regions previously associated with Crohn's disease. Follow-up analyses in independent case-control series confirmed association of many newly discovered rare variants with disease risk.