Research Briefing

We present an analysis that shows that although nearly half of the human genome comprises repetitive sequences, recombination between homologous repeats has a minor role in cancer chromosomal evolution.

Whole-exome and genome sequencing in consanguineous families with unsolved lipodystrophy identified biallelic pathogenic loss-of-function variants in the phospholipase gene PLAAT3. Multi-omics and functional analyses in human and mouse PLAAT3-deficient adipose tissue and adipose stem cells revealed an adipocyte differentiation defect that is mediated by an altered gene network downstream of the adipogenesis master regulator PPARγ.

We developed a computational, age-dependent topic model to identify longitudinal comorbidity patterns from hospital diagnosis data. The inferred comorbidity patterns are robust across UK and US populations and identify disease subtypes with distinct genetic profiles.

Genome-wide association analyses of placental weight identify 40 association signals, partially overlapping with birth weight genetics. We find parent-of-origin effects and connections to placental development and morphology, and transport of amino acids and antibodies. Mendelian randomization reveals a fetal contribution to preeclampsia and implicates fetal insulin in the regulation of placental growth.

Polygenic risk scores (PRSs) are increasingly able to predict complex traits; however, they perform suboptimally in populations not of European ancestry. We present CT-SLEB, a powerful method that enables the calculation of PRSs from multi-ancestry samples and provides insights into the opportunities and challenges of enhancing polygenic risk prediction across populations of diverse ancestry.

Genetic studies have associated thousands of non-coding variants with Alzheimer’s disease (AD), yet the functions of these variants remain elusive. We conducted cell-type-specific genetic fine mapping of AD variants and performed extensive functional characterization to unravel the causal variants that contribute to transcriptional regulation and AD­related phenotypes in microglia.

We re-sequenced and phenotyped 2,839 rice hybrid cultivars and 9,839 F₂ individuals from elite hybrids. Based on the dataset, the genetic improvement during rice hybrid breeding was investigated, and the genetic basis underlying strong heterosis was quantitatively evaluated. Furthermore, a genomic selection model was constructed to optimize heterotic combinations.

Using data from the UK Biobank, we reveal the roles of selection and mutation in shaping the genetic diversity of mosaic chromosomal alterations in healthy blood.

Across multiple cancer types, hotspot mutations in SF3B1 confer selective sensitivity to multiple clinically available PARP inhibitors. This sensitivity is due to reduced levels of CINP specifically in SF3B1-mutant cells, which leads to a loss of the canonical replication stress response after challenge with PARP inhibitors.

Through whole-genome sequencing of single molecules of circulating cell-free DNA, we found that tumor-derived mutations in cancer genomes are associated with regions of late replication timing and other chromatin features. These genome-wide analyses identified altered regional mutation profiles in people with cancer that distinguished them from people without cancer and reflected tumor burden during therapy.

Matched single-cell transcriptomic and epigenomic profiles obtained from human scalp reveal gene regulatory maps of diverse cell types in the hair follicle niche. Integrating these data with existing genome-wide association studies enabled prioritization of cell types, genes, and causal variants implicated in the pathobiology of androgenetic alopecia, eczema, and other complex traits.

How the chromatin states of transposable elements (TEs) are controlled in development and disease is unclear. We present CARGO-BioID, a CRISPR-based proteomic approach to identify TE-associated proteins, and reveal an interplay between RNA N6-methyladenosine (m⁶A) and DNA methylation that is crucial for regulating TE activation and human embryonic stem cell (hESC) fate.

Cross-ancestry genome-wide association meta-analyses of neuroimaging genetics data from European and East Asian populations identified 339 genetic variant–hippocampal volumetric trait associations (23 new). Further cross-ancestry analyses revealed similar genetic effects on hippocampal volumetric traits between ancestries, with improved fine-mapping precision and predictive accuracy of polygenic scores in the under-represented East Asian population.

An extra copy of a chromosome region that includes four genes encoding interferon receptors contributes to immune dysregulation, heart malformations, developmental delays, cognitive deficits and craniofacial abnormalities in a mouse model of Down syndrome.

Meta-analysis of genome-wide association studies of spontaneous coronary artery dissection (SCAD), an important cause of myocardial infarction, identified 11 risk loci that involve genes related to artery integrity and tissue-mediated coagulation. Evidence supports SCAD as a genetically distinct condition from atherosclerotic coronary artery disease.

Single-cell RNA-sequencing analysis combined with host genetic data for a Japanese population reveals the dysfunction of innate immune cells, particularly non-classical monocytes, in individuals with severe COVID-19, as well as enrichment of host genetic risk factors for severe COVID-19 in monocytes and dendritic cells.

We introduce scEC&T-seq, a new single-cell sequencing method that enables parallel profiling of extrachromosomal circular DNA and mRNAs in single cells. Using scEC&T-seq, we characterized all types of circular DNA elements in single human cancer cells and profiled the intercellular heterogeneity and structural dynamics of cancer-specific extrachromosomal DNA.

Liability scores for chronic obstructive pulmonary disease obtained from our deep learning model improve genetic association discovery and risk prediction. We trained our model using full spirograms and noisy medical record labels obtained from self-reporting and hospital diagnostic codes, and demonstrated that the machine-learning-based phenotyping approach can be generalized to diseases that lack expert-defined annotations.

We developed a machine learning model to quantify cardiac fibrosis (which is associated with cardiovascular disease) using cardiac MRI data from 41,505 UK Biobank participants. In the subsequent large-scale GWAS of cardiac fibrosis, we identified 11 independent genomic loci, 9 of which were implicated in in vitro cardiac fibroblast activation.

Reconstructing phylogenetic trees from large collections of genome sequences is a computationally challenging task. We developed MAPLE, a method for performing phylogenetic inference on large numbers of closely related genomes, which might be useful when studying the evolution and spread of SARS-CoV-2 and of infectious pathogens in future pandemics.