Quan Long, University of Calgary

Research

Bayesian Models Genomics Graphical Neural Network Undiagnosed Patients Viral Transmission Adverse Events Electronic Medical Records Knowledge Translation

Latest papers

Kernel-smoothed permutation for extreme P-value estimation in genetic association studies.
Genetics · 2026
Tissue-specific transfer learning improves functional variant and therapeutic target discoveries in breast and prostate cancer.
PLoS genetics · 2026 · senior author
Investigating causal associations among inflammatory proteins, blood metabolites, and Alzheimer's disease risk.
BMC psychiatry · 2026

All 32 publications

Latest funding

Developing data-bridge directed statistical tools for genotype-phenotype associations and predictions
NSERC · 2024 · Principal investigator
$47,000
Learning Representations of Omics Data to Characterize Biology and Predict Diseases
SSHRC · 2023 · Principal investigator
$250,000
COVID-19 Variant Supplement - Inferring undiagnosed sources of COVID-19 infections using viral genomes
CIHR · 2021 · Nominated PI
$50,000

All 9 grants and awards

32 publications.

01

Kernel-smoothed permutation for extreme P-value estimation in genetic association studies.

Bian J, Wu J, Ethan MacDonald M, Wu L, Long Q, Li C

Genetics2026

DOI: 10.1093/genetics/iyag119 PMID: 42114112

02

Tissue-specific transfer learning improves functional variant and therapeutic target discoveries in breast and prostate cancer.

Li Q, Wang D, Zhang Z, Perera D, Chen Z, Wen W, MacDonald ME, Cai W, Yan J, Shu XO, Zheng W, Guo X, Long Q

PLoS genetics2026Senior author

DOI: 10.1371/journal.pgen.1012145 PMID: 42090444

03

Investigating causal associations among inflammatory proteins, blood metabolites, and Alzheimer's disease risk.

Liu S, Zhu J, Zhong H, Zhou D, Long Q, Zhang Z, Yang X, Wu Q, Cheng C, Wu J, Luu HN, Wang J, Zhao B, Wu C, Deng Y, Wu L

BMC psychiatry2026

DOI: 10.1186/s12888-026-08136-4 PMID: 42082960

04

MOKA: a pipeline for multiomics bridged SNP-set kernel association test.

Enoma D, Wang D, Kamdoum AGK, Polo RO, Long Q, He J

G3 (Bethesda, Md.)2026

DOI: 10.1093/g3journal/jkaf296 PMID: 41417631

05

Large-scale integration of omics and electronic health records to identify potential risk protein biomarkers and therapeutic drugs for cancer prevention.

Li Q, Song Q, Chen Z, Choi J, Moreno V, Ping J, Wen W, Li C, Shu X, Yan J, Shu XO, Cai Q, Long J, Huyghe JR, Pai R, Gruber SB, Yang Y, Casey G, Wang X, Toriola AT, Li L, Singh B, Lau KS, Zhou L, Zhang Z, Wu C, Peters U, Zheng W, Long Q, Yin Z, Guo X

American journal of human genetics2026

DOI: 10.1016/j.ajhg.2025.11.008 PMID: 41338217

06

Broken adaptive ridge method for variable selection in generalized partly linear models with application to the coronary artery disease data.

Chan C, Dai X, Chekouo T, Long Q, Lu X

Journal of Computational Mathematics and Data Science2025

DOI: 10.1016/j.jcmds.2025.100127 PMID: 41626258

07

Integration of Genetic Information to Improve Brain Age Gap Estimation Models in the UK Biobank.

Mohite A, Ardila K, Charatpangoon P, Munro E, Zhang Q, Long Q, Curtis C, MacDonald ME

Human brain mapping2025

DOI: 10.1002/hbm.70331 PMID: 40974298

08

Apollo: a comprehensive GPU-powered within-host simulator for viral evolution and infection dynamics across population, tissue, and cell.

Perera D, Li E, Gordon PM, van der Meer F, Lynch T, Gill J, Church DL, de Koning APJ, Huber CD, van Marle G, Platt A, Long Q

Nature communications2025Senior author

DOI: 10.1038/s41467-025-60988-8 PMID: 40593638

09

Linking DNA methylation in brain regions to Alzheimer's disease risk: a Mendelian randomization study.

Zhong H, Zhu J, Liu S, Zhou D, Long Q, Wu C, Zhao B, Cheng C, Yang Y, Wu Q, Wu Y, Li C, Wang Z, Wu J, Guo X, Zhi D, Deng Y, Wu L

Human molecular genetics2025

DOI: 10.1093/hmg/ddaf053 PMID: 40267236

10

Enhancing disease risk gene discovery by integrating transcription factor-linked trans-variants into transcriptome-wide association analyses.

He J, Perera D, Wen W, Ping J, Li Q, Lyu L, Chen Z, Shu X, Long J, Cai Q, Shu XO, Yin Z, Zheng W, Long Q, Guo X

Nucleic acids research2025

DOI: 10.1093/nar/gkae1035 PMID: 39535029

Developing data-bridge directed statistical tools for genotype-phenotype associations and predictions

Principal investigatorNSERC2024Discovery Grants Program - Individual

Principal investigators: Long, Quan

Keywords: statistical genomics; multiscale modeling; feature selection; genotype-phenotype association study; genotype-based phenotype prediction; fast and memory-effective implementation

$47,000

Learning Representations of Omics Data to Characterize Biology and Predict Diseases

Principal investigatorSSHRC2023New Frontiers in Research Fund - Exploration

Principal investigators: Long, Quan

Keywords: Cancers; Representation learning; Omics data; Genetics; Neurodevelopmental disorders; Transfer learning

$250,000

COVID-19 Variant Supplement - Inferring undiagnosed sources of COVID-19 infections using viral genomes

Nominated PICIHR2021Operating Grant: SARS-CoV-2 variants supplement stream 1

Principal investigators: Long, Quan; van Marle, Guido

Keywords: Bayesian Models; Genomics; Graphical Neural Network; Undiagnosed Patients; Viral Transmission

$50,000

Inferring undiagnosed sources of COVID-19 infections using viral genomes

Nominated PICIHR2020Op Gr: COVID-19 Rapid Research FO - Clinical Mgmt/Health System Interventions

Principal investigators: Long, Quan; van Marle, Guido

Keywords: Bayesian Models; Genomics; Graphical Neural Network; Undiagnosed Patients; Viral Transmission

$99,000

Generating EMR-Based Algorithms to Identify Hospital Adverse Events for Health System Performance Evaluation and Improvement

Principal investigatorCIHR2020Project Grant

Principal investigators: Xu, Yuan; Eastwood, Catherine A; Long, Quan; Zeng, Yong

Keywords: Adverse Events; Electronic Medical Records; Knowledge Translation; Machine Learning; Natural Language Processing; Patient Safety; System Performance

$1,189,576

Understanding the translational mechanisms of neuronal subtype specification in the mammalian cortex

Co-investigatorCIHR2019Project Grant

Principal investigators: Yang, Guang

Keywords: Brain Development; Fate Specification; Neuronal Subtype Specification; Rna-Binding Proteins; Translational Regulation

$791,776

Developing a Machine Learning Framework for Medical Genomic Projects with Small or Moderate Sample Sizes

Principal investigatorSSHRC2018New Frontiers in Research Fund

Principal investigators: Long, Quan

Keywords: Machine learning, Big-data, Overfitting, Statistical genetics, Multi-scale `omics, Medical genomics, Precision medicine

$273,310

Computational models identifying within-host evolution of pathogens using high-throughput DNA sequencing

Principal investigatorNSERC2017Discovery Grants Program - Individual

Principal investigators: Long, Quan

$168,000

Epigenome wide association study for deciphering the role of methylation in phenotypic changes in hemp

Principal investigatorNSERC2017Engage Grants Program

Principal investigators: Long, Quan

$25,000

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

Frequent collaborators

Biochemistry and Molecular Biology
Community Health Sciences
Medical Genetics
Medicine
Physiology and Pharmacology
Laboratory Medicine and Pathology
Department of Medicine
Other

Co-authors at University of Calgary, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.

Guido van Marle

Biochemistry and Molecular Biology

4 shared papers, latest 2025

Jun Yan

Physiology and Pharmacology

4 shared papers, latest 2026

John Gill

Faculty

2 shared papers, latest 2025

Paul Gordon

Laboratory Medicine and Pathology

2 shared papers, latest 2019

Guang Yang

Medical Genetics

2 shared papers, latest 2021

Chad Bousman

Medical Genetics

1 shared papers, latest 2018

Raynell Lang

Medicine/Neurology

1 shared papers, latest 2020

Raynell Lang

Medicine

1 shared papers, latest 2020

Jeffrey Bakal

Medicine

1 shared papers, latest 2022

Yuan Xu

Oncology

1 shared papers, latest 2022

Peng Huang

Biochemistry and Molecular Biology

1 shared papers, latest 2024

Jeffrey Bakal

Family Medicine

1 shared papers, latest 2022

Maja Tarailo-Graovac

Biochemistry and Molecular Biology

1 shared papers, latest 2018

Alan Forster

Department of Medicine

1 shared papers, latest 2022

Bo Cao

Occupational Therapy

1 shared papers, latest 2024

Hude Quan

Community Health Sciences

1 shared papers, latest 2022

Write to this professor

A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.

Applying for

Paper to mentionMention their NSERC grant from 2024

Subject: Prospective PhD student: Bayesian Models Dear Professor Long, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "Kernel-smoothed permutation for extreme P-value estimation in genetic association studies." (2026), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "Developing data-bridge directed statistical tools for genotype-phenotype associations and predictions" (2024), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]