Author

Julie L. MacIsaac

University of British Columbia

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2 Genomics· 2 Genetics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Organism:human· 6 Approach:statistical model· 6 Assay:DNA methylation· 5 Research Focus:differential expression· 3 Research Focus:gene regulatory network inference· 3 Assay:bulk RNA-seq· 1 Approach:experimental assay· 1 Assay:GWAS summary statistics· 1

Frequent Co-Authors

Michael Steffen KoboriD· 6 shared David T.S. LiniD· 3 shared Sarah M. MerrilliD· 3 shared Darina CzamaraiD· 2 shared Elika GargiD· 2 shared Jari M. T. LahtiiD· 2 shared Kieran J. O’DonnelliD· 2 shared Lisa M. McEweniD· 2 shared

Activity by Year

2019-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 32 mutual co-author links

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6 shared papersBioinformatics

Michael Steffen KoborORCID

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Author profile →

6 papers

Recent·Most cited

Children's DNA Methylation and Family Dynamics in a Congo Basin Subsistence Community: Links with Parental Conflict and Fathers' Caregiving

Meingold Hiu-ming Chan, Sarah M. Merrill, Beryl C. Zhuang, David T.S. Lin, Julie L. MacIsaac, Valchy Miegakanda, Sheina Lew‐Levy, Adam Howell Boyette, Michael S. Kobor, Lee T. Gettler

This study examines DNA methylation in children from a Congo Basin community, linking it to family dynamics like parental conflict and father caregiving, and identifies associated biological pathways.

bioRxiv · Jun 19, 2026 · PreprintBioinformatics

Exercise induces Skeletal Muscle Methylome and Transcriptome changes, regardless of Age and COPD

Poojitha Rajasekar, Lorna E. Latimer, Linzy Houchen‐Wolloff, Kamini Rakkar, Tim Constantin-Teodosiu, Julie L. MacIsaac, Lisa M. McEwen, Chen Xi Yang, Tillie‐Louise Hackett, Bhavesh Popat, Despina Constantin, Michael Steffen Kobor, MICHAEL C. STEINER, Paul Leonard Greenhaff, Charlotte E. Bolton, Rachel L. Clifford

This study shows exercise induces methylome and transcriptome changes in skeletal muscle, independent of COPD and age, with some changes linked to inflammation and others to tissue remodeling.

bioRxiv · Mar 9, 2026 · PreprintGenomics

RAMEN: Dissecting individual, additive and interactive gene-environment contributions to DNA methylome variability in cord blood

Erick I. Navarro‐Delgado, Darina Czamara, Karlie Edwards, Maggie P. Fu, Sarah M. Merrill, Chaini Konwar, Julie L. MacIsaac, David T S Lin, Piush J. Mandhane, Elinor Simons, Padmaja Subbarao, Theo J. Moraes, Jari M. T. Lahti, Gregory E. Miller, Elisabeth B. Binder, , Michael Steffen Kobor

RAMEN dissects gene-environment contributions to DNA methylome variability in cord blood, finding genetics explains the largest proportion of DNAme variance.

Genome biology · Dec 10, 2025Peer-reviewedBioinformatics

Cross-Tissue Specificity of Pediatric DNA Methylation Associated with Cumulative Family Adversity

Meingold Hiu-ming Chan, Sarah M. Merrill, Fizza Fatima, Julie L. MacIsaac, Jelena Obradović, William Thomas Boyce, Michael Steffen Kobor

This study identifies DNA methylation sites in PBMCs associated with cumulative family adversity in children, suggesting PBMC DNAm as a marker for biological embedding of cumulative adversity.

bioRxiv · Oct 4, 2023 · PreprintGenomics

Variably methylated regions in the newborn epigenome: environmental, genetic and combined influences

Darina Czamara, Gökçen Eraslan, Christian Magnus Page, Jari M. T. Lahti, Marius Lahti‐Pulkkinen, Esa K Hämäläinen, Eero Kajantie, Hannele M. Laivuori, Pia Villa, Rebecca M. Reynolds, Wenche Nystad, Siri E. Håberg, Stephanie J. London, Kieran J. O’Donnell, Elika Garg, , Robert M. Maier

The paper examines how genetic and environmental factors influence DNA methylation at variably methylated regions in neonatal blood, finding that combined effects best explain methylation variability.

Nature Communications · Jun 11, 2019Peer-reviewedGenetics

A biologically-informed polygenic score identifiesendophenotypes and clinical conditions associated with the insulinreceptor function on specific brain regions

Shantala A. Hari Dass, Kathryn McCracken, Irina Pokhvisneva, Lawrence M. Chen, Elika Garg, Thao T. T. Nguyen, Zihan Wang, Bárbara Barth, Moein Yaqubi, Lisa M. McEwen, Julie L. MacIsaac, Josie C. Diorio, Michael Steffen Kobor, Kieran J. O’Donnell, Michael Joseph Meaney, Patrícia Pelufo Silveira

The paper introduces a biologically informed polygenic score for insulin receptor-related genes in mesocorticolimbic regions and shows it better predicts childhood impulsivity and early addiction risk than conventional scores.

EBioMedicine · Mar 26, 2019Peer-reviewedNeuroscience