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The flagship paper of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium describes the generation of the integrative analyses of 2,658 cancer whole genomes and their matching normal tissues across 38 tumour types, the structures for international data sharing and standardized analyses, and the main scientific findings from across the consortium studies.

Using a Bayesian approach with neural networks the authors model the demographic history of gorillas, finding admixture from an archaic ‘ghost’ lineage into the common ancestor of eastern gorillas, but not western gorillas.

Levantine Phoenicians made little genetic contribution to Punic settlements in the central and western Mediterranean between the sixth and second centuries bce; instead, the Punic people derived most of their ancestry from a genetic profile similar to that of Sicily and the Aegean, with notable contributions from North Africa as well.

Analysis of the genomes of 50 species of Lemuriformes shows high levels of genomic diversity, likely due to allele sharing, as well as population declines and inbreeding patterns resulting from ecological factors and human impacts in Madagascar.

Comparative epigenomics has revealed principles underlying the evolution of gene expression regulation, and the integration of epigenomic data is important for a deeper understanding of this evolution. Here the authors report the evolutionary dynamics of the epigenomic regulatory landscape in primates and their impact in recent human evolution.

Due to various structural and sequence complexities, the human Y chromosome is challenging to sequence and characterize. Here, the authors develop a strategy to sequence native, unamplified flow sorted Y chromosomes with a nanopore sequencing platform, and report the first assembly of a human Y chromosome of African origin.

Analysis of genomes from bonobo and chimpanzee populations reveals an ancient admixture event between bonobos and an extinct great ape several hundred thousand years ago and suggests introgression of functional genes from the archaic ape into bonobos.

Whole-genome alignment of 239 primate species reveals noncoding regulatory elements that are under selective constraint in primates but not in other placental mammals, that are enriched for variants that affect human gene expression and complex traits in diseases.

Analysis of de novo mutations in sequences of great ape parent-offspring trios suggests that mutation rates slowed down in the recent human lineage, reconciling dates from the fossil record.

The authors show that DNA methylation patterns in one tissue can inform on those in another, under certain conditions, and devise an algorithm that allows identification of differential DNA methylation. They applied it to an archaic human dataset, revealing information about human brain evolution in the absence of preserved brain tissue.

The enamel proteome from a 1.9-million-year-old Gigantopithecus tooth shows that the Gigantopithecus and Pongo (orangutan) lineages diverged 12–10 million years ago.

Fewer than 100 wild Cat Ba langurs survive in Vietnam. Here, the authors use whole genome sequencing to demonstrate potential adaptations to saltwater consumption as well as maintenance of adaptive potential despite low levels of genetic diversity and high levels of inbreeding.

A complete pre-agricultural European human genome from a ∼7,000-year-old Mesolithic skeleton suggests the existence of a common genomic signature across western and central Eurasia from the Upper Paleolithic to the Mesolithic, and ancestral alleles in several skin pigmentation genes suggest that the light skin of modern Europeans was not yet ubiquitous in Mesolithic times.

Sequencing of the bonobo genome shows that more than three per cent of the human genome is more closely related to either the bonobo genome or the chimpanzee genome than those genomes are to each other.

A comparative segmental duplication map of four primate genomes that allows the evolutionary history of all human segmental duplications to be reconstructed is presented. It reveals a fourfold acceleration of segmental duplication accumulation during the speciation of human, chimpanzee and gorilla at a time when other mutational processes were slowing, and also provides a detailed evolutionary history of all human segmental duplications as a resource to the human genetics community.

This Review explores the genetic basis of diversification and adaptation in non-human primates, including their responses to ecological and environmental changes.

Orphan transporters can be found in over 20 families in the SLC superfamily. Here, the authors show that human SLC22A10 is a unitary pseudogene due to a fixed missense mutation, P220; while in great apes, its orthologs transport sex steroid conjugates.

Population study of whole genomes of wild uakary monkeys (Cacajao genus) exposes how the dynamic and highly heterogeneous Amazon basin may have shaped complex connectivity patterns and driven fast population differentiation on these.

Comparative analysis of Y chromosomes across 29 primate species reveals rapid evolution and shows different patterns of evolution among regions of the Y chromosome during primate diversification.

There’s an emerging body of evidence to show how biological sex impacts cancer incidence, treatment and underlying biology. Here, using a large pan-cancer dataset, the authors further highlight how sex differences shape the cancer genome.

With the generation of large pan-cancer whole-exome and whole-genome sequencing projects, a question remains about how comparable these datasets are. Here, using The Cancer Genome Atlas samples analysed as part of the Pan-Cancer Analysis of Whole Genomes project, the authors explore the concordance of mutations called by whole exome sequencing and whole genome sequencing techniques.

Understanding deregulation of biological pathways in cancer can provide insight into disease etiology and potential therapies. Here, as part of the PanCancer Analysis of Whole Genomes (PCAWG) consortium, the authors present pathway and network analysis of 2583 whole cancer genomes from 27 tumour types.

Analyses of 2,658 whole genomes across 38 types of cancer identify the contribution of non-coding point mutations and structural variants to driving cancer.

In somatic cells the mechanisms maintaining the chromosome ends are normally inactivated; however, cancer cells can re-activate these pathways to support continuous growth. Here, the authors characterize the telomeric landscapes across tumour types and identify genomic alterations associated with different telomere maintenance mechanisms.

Integrative analyses of transcriptome and whole-genome sequencing data for 1,188 tumours across 27 types of cancer are used to provide a comprehensive catalogue of RNA-level alterations in cancer.

Whole-genome sequencing data from more than 2,500 cancers of 38 tumour types reveal 16 signatures that can be used to classify somatic structural variants, highlighting the diversity of genomic rearrangements in cancer.

Viral pathogen load in cancer genomes is estimated through analysis of sequencing data from 2,656 tumors across 35 cancer types using multiple pathogen-detection pipelines, identifying viruses in 382 genomic and 68 transcriptome datasets.

Analysis of cancer genome sequencing data has enabled the discovery of driver mutations. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium the authors present DriverPower, a software package that identifies coding and non-coding driver mutations within cancer whole genomes via consideration of mutational burden and functional impact evidence.

A pan-cancer genomic analysis reports the effects of structural variations on chromatin domains (TADs). Most TAD disruptions do not result in appreciable changes in expression of nearby genes.

An analysis of 2,954 genomes from 38 cancer subtypes identified 19,166 retrotransposition events in 35% of samples. Aberrant LINE-1 retrotranspositions can lead to the deletion of tumor-suppressor genes as well as the amplification of oncogenes.

Whole-genome sequencing data for 2,778 cancer samples from 2,658 unique donors across 38 cancer types is used to reconstruct the evolutionary history of cancer, revealing that driver mutations can precede diagnosis by several years to decades.

Some cancer patients first present with metastases where the ___location of the primary is unidentified; these are difficult to treat. In this study, using machine learning, the authors develop a method to determine the tissue of origin of a cancer based on whole sequencing data.

The authors present SVclone, a computational method for inferring the cancer cell fraction of structural variants from whole-genome sequencing data.

Many tumours exhibit hypoxia (low oxygen) and hypoxic tumours often respond poorly to therapy. Here, the authors quantify hypoxia in 1188 tumours from 27 cancer types, showing elevated hypoxia links to increased mutational load, directing evolutionary trajectories.

Multi-omics datasets pose major challenges to data interpretation and hypothesis generation owing to their high-dimensional molecular profiles. Here, the authors develop ActivePathways method, which uses data fusion techniques for integrative pathway analysis of multi-omics data and candidate gene discovery.

The characterization of 4,645 whole-genome and 19,184 exome sequences, covering most types of cancer, identifies 81 single-base substitution, doublet-base substitution and small-insertion-and-deletion mutational signatures, providing a systematic overview of the mutational processes that contribute to cancer development.

In this study the authors consider the structural variants (SVs) present within cancer cases of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium. They report hundreds of genes, including known cancer-associated genes for which the nearby presence of a SV breakpoint is associated with altered expression.

Cancers evolve as they progress under differing selective pressures. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, the authors present the method TrackSig the estimates evolutionary trajectories of somatic mutational processes from single bulk tumour data.

The Vertebrate Genome Project has used an optimized pipeline to generate high-quality genome assemblies for sixteen species (representing all major vertebrate classes), which have led to new biological insights.

Somatic and germline mutations are found at different densities across the genome. Here, the authors compare human somatic tumour mutations with the germline of humans, chimpanzees, and gorillas, and find that the mutation density of tumours correlates better with non-human great apes than with the human germline.

The genomes of two long-lived giant tortoises, including Lonesome George, reveal candidate genes and pathways associated with their development, gigantism and longevity.