Genetic variants shape single-cell chromatin accessibility and disease risk
Open accessAbstract
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.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Thakore, P. I., D'Ippolito, A. M., Song, L., Safi, A., Shivakumar, N. K., Kabadi, A. M., Reddy, T. E., Crawford, G. E., & Gersbach, C. A. (2015) · Nature Methods · doi:10.1038/nmeth.3630 · Cited by 1,012 · see citing works
GC-Content Normalization for RNA-Seq Data
Risso, D., Schwartz, K., Sherlock, G., & Dudoit, S. (2011) · BMC Bioinformatics · doi:10.1186/1471-2105-12-480 · Cited by 867 · see citing works
Benchmarking algorithms for gene regulatory network inference from single-cell transcriptomic data
Pratapa, A., Jalihal, A. P., Law, J. N., Bharadwaj, A., & Murali, T. M. (2020) · Nature Methods · doi:10.1038/s41592-019-0690-6 · Cited by 792 · see citing works
SCENIC+: single-cell multiomic inference of enhancers and gene regulatory networks
Bravo González-Blas, C., De Winter, S., Hulselmans, G., Hecker, N., Matetovici, I., Christiaens, V., Poovathingal, S., Wouters, J., Aibar, S., & Aerts, S. (2023) · Nature Methods · doi:10.1038/s41592-023-01938-4 · Cited by 778 · see citing works
Systematic mapping of functional enhancer–promoter connections with CRISPR interference
Fulco, C. P., Munschauer, M., Anyoha, R., Munson, G., Grossman, S. R., Perez, E. M., Kane, M., Cleary, B., Lander, E. S., & Engreitz, J. M. (2016) · Science · doi:10.1126/science.aag2445 · Cited by 643 · see citing works
Klann, T. S., Black, J. B., Chellappan, M., Safi, A., Song, L., Hilton, I. B., Crawford, G. E., Reddy, T. E., & Gersbach, C. A. (2017) · Nature Biotechnology · doi:10.1038/nbt.3853 · Cited by 447 · see citing works
HIPSCI Consortium, Alasoo, K., Rodrigues, J., Mukhopadhyay, S., Knights, A. J., Mann, A. L., Kundu, K., Hale, C., Dougan, G., & Gaffney, D. J. (2018) · Nature Genetics · doi:10.1038/s41588-018-0046-7 · Cited by 338 · see citing works
Dissecting super-enhancer hierarchy based on chromatin interactions
Huang, J., Li, K., Cai, W., Liu, X., Zhang, Y., Orkin, S. H., Xu, J., & Yuan, G.-C. (2018) · Nature Communications · doi:10.1038/s41467-018-03279-9 · Cited by 241 · see citing works
Flagged first, then by citations
- Authors
- Xue, A., Fan, J., Dong, O. A., Huang, H. L., Chen, L., Allen, P. C., Spenceley, E., Sagi-Zsigmond, E., Bowen, B., Henry, A., Cuomo, A. S. E., Tanudisastro, H. A., Qiao, Z., Dorans, E., Ben-David, E., Farh, K. K.-H., Hu, L., Liu, Y. C., Neavin, D. R., Lee, A. S., Senabouth, A., Bartie, C., McCloy, R. A., Chin, V., Zhou, W., Price, A. L., de Lange, K. M., Figtree, G. A., Hewitt, A. W., MacArthur, D. G., & Powell, J. E.
- Affiliations
- Garvan Institute of Medical Research (AU)
- The University of Sydney (AU)
- Illumina (United States) (US)
- Broad Institute (US)
- University of Tasmania (AU)
- ORCID
- Xue, Angli
- Dong, Oscar A.
- Huang, Hao Lawrence
- Chen, Ling
- Allen, Peter C.
- Spenceley, Eleanor
- Sagi-Zsigmond, Eszter
- Henry, Albert
- Cuomo, Anna S. E.
- Tanudisastro, Hope A.
- Dorans, Elizabeth
- Ben-David, Eyal
- Farh, Kyle Kai-How
- Liu, Yijia Christiana
- Neavin, Drew R.
- Lee, Arthur S.
- Senabouth, Anne
- McCloy, Rachael A.
- Chin, Venessa
- Zhou, Wei
- Price, Alkes L.
- Hewitt, Alex W.
- MacArthur, Daniel G.
- Powell, Joseph E.
- Venue
- Nature
- Published
- 2026-10-28
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W7224084810
- Cited by
- 3
- References
- 8
- Citations by year
- 2026: 3
- FWCI
- 6.20
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Nature (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Keywords
- genetic variants, single-cell chromatin accessibility, chromatin accessibility, disease risk, single-cell genomics, epigenetics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review