A5040523850- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Random lasers and scattering media
- Advanced Optical Imaging Technologies
- RNA modifications and cancer
- Plant Molecular Biology Research
- Genetics and Plant Breeding
- Genomics and Phylogenetic Studies
- Cancer-related molecular mechanisms research
- Hippo pathway signaling and YAP/TAZ
- Orbital Angular Momentum in Optics
- Birth, Development, and Health
- Optical Coherence Tomography Applications
- Bioinformatics and Genomic Networks
- Epigenetics and DNA Methylation
- SARS-CoV-2 and COVID-19 Research
- interferon and immune responses
- Ideological and Political Education
- Microbial Community Ecology and Physiology
- Plant Gene Expression Analysis
- Genetics, Aging, and Longevity in Model Organisms
- Lymphoma Diagnosis and Treatment
- Advanced Optical Sensing Technologies
- COVID-19 Clinical Research Studies
University of Edinburgh
2016-2025
Fudan University
2021-2025
Karolinska Institutet
2016-2025
Centre for Global Health Research
2018-2025
State Key Laboratory of Genetic Engineering
2023-2024
Institute of Genetics and Cancer
2014-2024
XinHua Hospital
1998-2024
Northeast Agricultural University
2024
Shanghai Jiao Tong University
2010-2024
Shanghai Cancer Institute
2020-2024
Host-mediated lung inflammation is present1, and drives mortality2, in the critical illness caused by coronavirus disease 2019 (COVID-19). Host genetic variants associated with may identify mechanistic targets for therapeutic development3. Here we report results of GenOMICC (Genetics Of Mortality In Critical Care) genome-wide association study 2,244 critically ill patients COVID-19 from 208 UK intensive care units. We have identified replicated following new significant associations: on...
Abstract Critical COVID-19 is caused by immune-mediated inflammatory lung injury. Host genetic variation influences the development of illness requiring critical care 1 or hospitalization 2–4 after infection with SARS-CoV-2. The GenOMICC (Genetics Mortality in Care) study enables comparison genomes from individuals who are critically ill those population controls to find underlying disease mechanisms. Here we use whole-genome sequencing 7,491 compared 48,400 discover and replicate 23...
Exosomes have been implicated in numerous biological processes, and they may serve as important disease markers. Surface proteins on exosomes carry information about their tissues of origin. Because the heterogeneity it is desirable to investigate them individually, but this has so far remained impractical. Here, we demonstrate a proximity-dependent barcoding assay profile surface individual using antibody-DNA conjugates next-generation sequencing. We first validate method artificial...
Abstract The Farm Animal Genotype-Tissue Expression (FarmGTEx) project has been established to develop a public resource of genetic regulatory variants in livestock, which is essential for linking polymorphisms variation phenotypes, helping fundamental biological discovery and exploitation animal breeding human biomedicine. Here we show results from the pilot phase PigGTEx by processing 5,457 RNA-sequencing 1,602 whole-genome sequencing samples passing quality control pigs. We build pig...
Human genomics is witnessing an ongoing paradigm shift from a single reference sequence to pangenome form, but populations of Asian ancestry are underrepresented. Here we present data the first phase Chinese Pangenome Consortium, including collection 116 high-quality and haplotype-phased de novo assemblies based on 58 core samples representing 36 minority ethnic groups. With average 30.65× high-fidelity long-read coverage, contiguity N50 more than 35.63 megabases total size 3.01 gigabases,...
We present the hglm package for fitting hierarchical generalized linear models.It can be used mixed models and with random effects a variety of links distributions both outcomes effects.Fixed also fitted in dispersion part model.
As Arabidopsis thaliana has colonized a wide range of habitats across the world it is an attractive model for studying genetic mechanisms underlying environmental adaptation. Here, we used public data from two collections A. accessions to associate variability at individual loci with differences in climates sampling sites. We use novel method screen genome plastic alleles that tolerate broader climate than major allele. This approach reduces confounding population structure and increases...
The phenotypic effect of a gene is normally described by the mean-difference between alternative genotypes. A may, however, also influence phenotype causing difference in variance Here, we reanalyze publicly available Arabidopsis thaliana dataset [1] and show that genetic heterogeneity appears to be as common normal additive effects on genomewide scale. study develops theory estimate contributions differences genotypes variance, this used individual loci can explain more than 20% variance....
Correlated imaging through atmospheric turbulence is studied, and the analytical expressions describing effects on image resolution are derived. Compared with direct imaging, correlated can reduce influence of to a certain extent reconstruct high-resolution images. The result backed up by numerical simulations, in which turbulence-induced phase perturbations simulated random screens inserting propagation paths.
Abstract The subset of patients who develop critical illness in Covid-19 have extensive inflammation affecting the lungs 1 and are strikingly different from other patients: immunosuppressive therapy benefits critically-ill patients, but may harm some non-critical cases. 2 Since susceptibility to life-threatening infections immune-mediated diseases both strongly heritable traits, we reasoned that host genetic variation identify mechanistic targets for therapeutic development Covid-19. 3...
Joint modeling of a number phenotypes using multivariate methods has often been neglected in genome-wide association studies and if used, replication not sought. Modern omics technologies allow characterization functional phenomena large related phenotype measures, which can benefit from such joint analysis. Here, we report 23 immunoglobulin G (IgG) N-glycosylation phenotypes. In the discovery cohort, our multi-phenotype method uncovers ten significant loci, five are novel (IGH, ELL2,...
To systematically profile metabolic alterations and dysregulated pathways in hyperuricemia gout, to identify potential metabolite biomarkers discriminate gout from asymptomatic hyperuricemia.Serum samples 330 participants, including 109 with 102 hyperuricemia, 119 normouricemic controls, were analyzed by high-resolution mass spectrometry-based metabolomics. Multivariate principal components analysis orthogonal partial least squares discriminant performed explore differential metabolites...
Background Immune microenvironment is well recognized as a critical regulator across cancer types, despite its complex roles in different disease conditions. Intrahepatic cholangiocarcinoma (iCCA) characterized by tumor-reactive milieu, emphasizing deep insight into immunogenomic profile to provide prognostic and therapeutic implications. Methods We performed genomic, transcriptomic, proteomic characterization of 255 paired iCCA adjacent liver tissues. validated our findings through H&E...
Aneuploidy compromises genomic stability, often leading to embryo inviability, and is frequently associated with tumorigenesis aging. Different aneuploid chromosome stoichiometries lead distinct transcriptomic phenotypic changes, making it helpful study aneuploidy in tightly controlled genetic backgrounds. By deploying the engineered SCRaMbLE (synthetic rearrangement modification by loxP-mediated evolution) system newly synthesized megabase Sc2.0 VII (synVII), we constructed a synthetic...
The Fourier-transform ghost imaging of both amplitude-only and pure-phase objects was experimentally observed with classical incoherent light at Fresnel distance by a lensless scheme. experimental results are in good agreement the standard Fourier transform corresponding objects. This scheme provides route toward aberration-free diffraction-limited three-dimensional images classically thermal (or neutrons), which have no resolution depth-of-field limitations lens-based tomographic systems.
As the molecular marker density grows, there is a strong need in both genome-wide association studies and genomic selection to fit models with large number of parameters. Here we present computationally efficient generalized ridge regression (RR) algorithm for situations which parameters largely exceeds observations. The demanding parts method depend mainly on observations not was implemented R package bigRR based previously developed hglm. Using such an approach, heteroscedastic effects...
Objectives We aimed to investigate the role of serum uric acid (SUA) level in a broad spectrum disease outcomes using data for 120 091 individuals from UK Biobank. Methods performed phenome-wide association study (PheWAS) identify associated with SUA genetic risk loci. then implemented conventional Mendelianrandomisation (MR) analysis causal relevance between and identified PheWAS. next applied MR Egger detect account potential pleiotropy, which might mistake causality, used HEIDI...
A complete picture of the associations most common lipid fractions, including total cholesterol (TC), LDL-C (low-density lipoprotein cholesterol), HDL-C (high-density triglycerides, and apolipoproteins, with risk Parkinson disease (PD), is lacking.To assess lipids apolipoproteins future PD.In AMORIS (Apolipoprotein-Related Mortality Risk) Study, we enrolled ≈600 000 participants during 1985 to 1996 in Stockholm, Sweden, repeated measurements TC, LDL-C, HDL-C, ApoB (apolipoprotein B), ApoA-I...