Genetic variants shape single-cell chromatin accessibility and disease risk

T cells. A graph neural network trained on both eQTL and caQTL layers inferred peak-gene links in unpaired multiome data with up to 17.2% higher accuracy than QTL-agnostic data, uncovering 128 additional transcription factor-target pairs (22% increase). Together, these results show that genetic variants shape chromatin accessibility in a cell-type-specific and cell-state-specific manner, influencing immune function and disease risk.

Authors

Institutions

Publication Details

Journal
Nature
Published
2026-10-28
DOI
https://doi.org/10.1038/s41586-026-11173-4
Citations
3
Primary Topic
Genomics and Chromatin Dynamics
Type
article
Field-Weighted Citation Impact
6.20
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Genetic variants shape single-cell chromatin accessibility and disease risk

Albert Henry, Daniel G. MacArthur, Kyle Kai‐How Farh, Katrina M. de Lange et al.
3 citations
Nature
Genomics and Chromatin Dynamics
6.20
article

Genetic variants shape single-cell chromatin accessibility and disease risk

Albert Henry, Daniel G. MacArthur, Kyle Kai‐How Farh, Katrina M. de Lange, Angli Xue, Rachael A. McCloy, Eyal David, Venessa T. Chin, Alex William Hewitt, Hope A. Tanudisastro, Joseph E. Powell, Hao Lawrence Huang, Alkes L. Price, Anne Senabouth, Anna S. E. Cuomo, Arthur S. Lee, Drew R. Neavin, Peter C. Allen, Elizabeth Dorans, Ling Chen, Wei Zhou, Caitlin Bartie, Eleanor Spenceley, Eszter Sagi-Zsigmond, Oscar A Dong, Yijia Christiana Liu, Gemma A. Figtree, Blake Bowen, Jianan Fan, Zhen Qiao, Linfeng Hu
article en
3 citations

Abstract

T cells. A graph neural network trained on both eQTL and caQTL layers inferred peak-gene links in unpaired multiome data with up to 17.2% higher accuracy than QTL-agnostic data, uncovering 128 additional transcription factor-target pairs (22% increase). Together, these results show that genetic variants shape chromatin accessibility in a cell-type-specific and cell-state-specific manner, influencing immune function and disease risk.

Nature
Broad Institute (US), The University of Sydney (AU), University of Tasmania (AU), University of Helsinki (FI), Harvard University (US), Garvan Institute of Medical Research (AU), Illumina (United States) (US), Royal North Shore Hospital (AU), Royal Hobart Hospital (AU), UNSW Sydney (AU), St Vincent's Hospital Sydney (AU), Massachusetts General Hospital (US), Institute for Molecular Medicine Finland (FI), Murdoch Children's Research Institute (AU), The Kinghorn Cancer Centre (AU), Stanley Center for Psychiatric Research (US), Menzies Institute for Medical Research (AU)
Good health and well-being
Openalex Percentile: Top 3%
Genomics and Chromatin Dynamics
6.20
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon