ASHG 2026 · Tier 1 Academic

University of Manchester at ASHG 2026

Name: ASHG 2026 Annual Meeting
Start: 2026-10-20
End: 2026-10-24
Location: Montréal

Manchester, UK

University of Manchester at ASHG 2026 in Montréal: 6 presentations (6 posters); 3 research groups.

presentations on the program

research groups identified

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Organization	ASHG 2026 Attendance
University of Manchester Manchester, UK	3 PhD Students · 2 Staff Scientists · 1 PI
Centre for Genetics and Genomics Versus Arthritiscfgg.manchester.ac.uk Wet + dry lab~10 people Analyses ChIP-Seq, ATAC-Seq, RNA-Seq, single-cell RNA-Seq and CyTOF data, plus DNA, RNA and serum cohorts. Studies genetic mechanisms, biomarkers and treatment response in inflammatory arthritis. 1 paper since 2024 › A disease-specific convergence of host and Epstein–Barr virus genetics in multiple sclerosis Proceedings of the National Academy of Sciences, 2025 Source: OpenAlex author A5104580999 Funded by Arthritis Research UK, Wellcome Trust › Arthritis Research UK · active “We are funded by Arthritis Research UK, the largest UK funder of research into musculoskeletal disease.” Wellcome Trust, Senior Research Fellowship · active “Dr Gizela Orozco has been awarded a Wellcome Trust Senior Research Fellowship.” Source: lab pages 14 platforms and techniques › Works with ChIP-Seq, ATAC-Seq, RNA-Seq, single-cell RNA-Seq, CyTOF, high-resolution microscopy, Illumina MiSeq Techniques genetic analysis, functional experiments, Capture Hi-C, 16S rRNA amplicon analysis, immunophenotyping, Jurkat T-cell line, GM12878 B-cell line Source: lab pages No openings posted	Poster Thu Oct 22 4:15 pm hapy: a Python package for HLA amino acid and allele association analysis Statistical Genetics and Genetic Epidemiology Collaborators: NIHR Manchester Biomedical Research Centre, Brigham and Women's Hospital +3 more Statistical geneticsBioinformaticsComputational toolsAutoimmune disorder Poster Fri Oct 23 2:30 pm Cross-tissue ancestry-specific TWAS refines type 2 diabetes GWAS loci Statistical Genetics and Genetic Epidemiology DiabetesTranscriptomeGenome-wide association studyExpression quantitative trait loci
Eales Labealeslabcompbio.github.io Dry lab~9 people Uses computational methods on single-cell transcriptomics and RNA-sequencing data. Studies cardiovascular disease, hypertension, coronary artery disease and renal histopathology. 4 papers since 2024 › #2706 Genetically determined reduction of renal carbonic anhydrase 12 is associated with decreased kidney function and increased serum urate Nephrology Dialysis Transplantation, 2025 Drosophila as a replacement model to study candidate genes involved in cardiac physiology Journal of Molecular and Cellular Cardiology Plus, 2024 205 Genome-wide survival analysis of 144,286 individuals in the UK biobank identifies novel blood pressure loci Preprint or unlisted venue, 2024 Source: OpenAlex author A5065612172 Funded by British Heart Foundation, Translation Manchester +1 more › British Heart Foundation · active “The work in my lab is funded by the British Heart Foundation, Translation Manchester and Health Innovation Manchester.” Translation Manchester · active “The work in my lab is funded by the British Heart Foundation, Translation Manchester and Health Innovation Manchester.” Health Innovation Manchester · active “The work in my lab is funded by the British Heart Foundation, Translation Manchester and Health Innovation Manchester.” Source: lab pages 8 platforms and techniques › Analyzes single-cell transcriptomics, RNA-sequencing, urinary cell transcriptomics Techniques artificial neural networks, deep learning, cell-type deconvolution, alternative-splicing quantification, Drosophila-based screening Source: lab pages No openings posted	Poster Wed Oct 21 2:30 pm Prediction of renal histopathology from non-invasively collected urinary cell transcriptomics data Complex Traits and Polygenic Disorders Collaborators: Manchester University NHS Foundation Trust TranscriptomeIdentification of disease genesMachine learningComplex diseases Poster Wed Oct 21 2:30 pm Sequence-based deep learning prioritizes fine-mapped causal splicing QTLs in cardiovascular disease-relevant tissues Artificial Intelligence and Machine Learning Alternative splicingCardiovascular systemDeep learningSplicing mechanisms
Epidemiology and Public Health Group Research group.	Poster Wed Oct 21 2:30 pm Prioritizing circulating proteins for idiopathic inflammatory myopathies using pQTL-based Mendelian randomization and colocalization Complex Traits and Polygenic Disorders Collaborators: Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre ProteomicsMendelian randomizationAutoimmune disorder
1 more presenter — research group not yet identified

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