The DOI matches its Crossref record; 76 of the 77 references it cites were found in a registry or an index.
Shared genetic effects on chromatin and gene expression indicate a role for enhancer priming in immune response
Open accessPublished version of a preprint
Abstract
Regulatory variants are often context specific, modulating gene expression in a subset of possible cellular states. Although these genetic effects can play important roles in disease, the molecular mechanisms underlying context specificity are poorly understood. Here, we identified shared quantitative trait loci (QTLs) for chromatin accessibility and gene expression in human macrophages exposed to IFNγ, Salmonella and IFNγ plus Salmonella. We observed that ~60% of stimulus-specific expression QTLs with a detectable effect on chromatin altered the chromatin accessibility in naive cells, thus suggesting that they perturb enhancer priming. Such variants probably influence binding of cell-type-specific transcription factors, such as PU.1, which can then indirectly alter the binding of stimulus-specific transcription factors, such as NF-κB or STAT2. Thus, although chromatin accessibility assays are powerful for fine-mapping causal regulatory variants, detecting their downstream effects on gene expression will be challenging, requiring profiling of large numbers of stimulated cellular states and time points.
Overview
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
Verification
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Second, it has been recently shown that the variants associated with chromatin accessibility capture stimulus-sensitive signals and explain a significant proportion of heritability, even more so than eQTLs47,48.”
From A computational tool (H-MAGMA) for improved prediction of brain-disorder risk genes by incorporating brain chromatin interaction profiles (2020) · cites this paper as [47]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Fitting Linear Mixed-Effects Models Using lme4
Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015) · Journal of Statistical Software · doi:10.18637/jss.v067.i01 · Cited by 86,835
STAR: ultrafast universal RNA-seq aligner
Dobin, A., Davis, C. A., Schlesinger, F., Drenkow, J., Zaleski, C., Jha, S., Batut, P., Chaisson, M., & Gingeras, T. R. (2013) · Bioinformatics · doi:10.1093/bioinformatics/bts635 · Cited by 51,709
BEDTools: a flexible suite of utilities for comparing genomic features
Quinlan, A. R., & Hall, I. M. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq033 · Cited by 27,437
featureCounts: an efficient general purpose program for assigning sequence reads to genomic features
Liao, Y., Smyth, G. K., & Shi, W. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btt656 · Cited by 27,219
Model-based Analysis of ChIP-Seq (MACS)
Zhang, Y., Liu, T., Meyer, C. A., Eeckhoute, J., Johnson, D. S., Bernstein, B. E., Nusbaum, C., Myers, R. M., Brown, M., Li, W., et al. (2008) · Genome Biology · doi:10.1186/gb-2008-9-9-r137 · Cited by 18,386
ggplot2: Elegant Graphics for Data Analysis
Wickham, H. (2009) · doi:10.1007/978-0-387-98141-3 · Cited by 14,447
Heinz, S., Benner, C., Spann, N., Bertolino, E., Lin, Y. C., Laslo, P., Cheng, J. X., Murre, C., Singh, H., & Glass, C. K. (2010) · Molecular Cell · doi:10.1016/j.molcel.2010.05.004 · Cited by 13,382
Pattern Recognition Receptors and Inflammation
Takeuchi, O., & Akira, S. (2010) · Cell · doi:10.1016/j.cell.2010.01.022 · Cited by 8,895
Buenrostro, J. D., Giresi, P. G., Zaba, L. C., Chang, H. Y., & Greenleaf, W. J. (2013) · Nature Methods · doi:10.1038/nmeth.2688 · Cited by 6,422
GENCODE: The reference human genome annotation for The ENCODE Project
Harrow, J., Frankish, A., Gonzalez, J. M., Tapanari, E., Diekhans, M., Kokocinski, F., Aken, B. L., Barrell, D., Zadissa, A., Searle, S., et al. (2012) · Genome Research · doi:10.1101/gr.135350.111 · Cited by 4,585
Research works printed but not linked: 1
- Li, H. Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM. Preprint at https://arxiv.org/abs/1303.3997/ (2013). · arXiv
Cited by
Sorted by citations
Items 201–300 of 353
Jeong, R., & Bulyk, M. L. (2024) · eLife · doi:10.7554/elife.98289.1 · Cited by 5
Molecular and genetic landscapes of retina and brain microglia in neurodegenerative diseasesPreprint
Ma, K., & Ratnapriya, R. (2025) · Genome Research · doi:10.1101/gr.280554.125 · Cited by 4
Liefferinckx, C., Stern, D., Perée, H., Bottieau, J., Mayer, A., Dubussy, C., Quertinmont, E., Tafciu, V., Minsart, C., Петров, В. А., et al. (2025) · PLoS Genetics · doi:10.1371/journal.pgen.1011599 · Cited by 6
Zhang, Z., Bao, X., Jiang, L., Luo, X., Zhang, Z., Yin, J., Zhao, M., Wang, Y., Comai, A., Waldhaus, J., et al. (2025) · Nucleic Acids Research · doi:10.1093/nar/gkaf1269 · Cited by 7
Rahimov, F., Ghosh, S., Petiwala, S. M., Schmidt, M., Nyamugenda, E., Shi, M., Tam, J. W., Verduzco, D., Singh, S., Avram, V., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-65277-y · Cited by 7
Wenz, B. M., Dudek, M. F., Ramdas, S., Creasy, K. T., Xin, D., Olthoff, K. M., Shaked, A. A., Rader, D. J., Brown, C. D., & Voight, B. F. (2026) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2026.01.003 · Cited by 3
Single-cell multiomics of neuron activation reveals context-specific genetics of brain disorders
Liang, L., Zhang, S., Wang, Z., Zhang, H., Li, C., Thapa, C., Oh, E., Sirkin, D., Sun, X., Barishman, A., et al. (2026) · Science · doi:10.1126/science.adw3949 · Cited by 3
Genetic variants shape single-cell chromatin accessibility and disease risk
Xue, A., Fan, J., Dong, O. A., Huang, H. L., Chen, L., Allen, P. C., Spenceley, E., Sagi-Zsigmond, E., Bowen, B., Henry, A., et al. (2026) · Nature · doi:10.1038/s41586-026-11173-4 · Cited by 3
Fluent genomics with plyranges and tximeta
Lee, S. A., Lawrence, M., & Love, M. I. (2020) · F1000Research · doi:10.12688/f1000research.22259.1 · Cited by 3
Characterization of caffeine response regulatory variants in vascular endothelial cells
Boye, C., Kalita, C. A., Findley, A. S., Alazizi, A., Wei, J., Wen, X., Piqué-Regi, R., & Luca, F. (2024) · eLife · doi:10.7554/elife.85235 · Cited by 2
Statistical Modeling of High Dimensional Counts
Love, M. I. (2021) · Methods in molecular biology · doi:10.1007/978-1-0716-1307-8_7 · Cited by 3
Vochteloo, M., Deelen, P., Vink, B., Tsai, E. A., Runz, H., Andreu‐Sánchez, S., Fu, J., Zhernakova, A., Westra, H.-J., & Franke, L. (2024) · Genome biology · doi:10.1186/s13059-023-03151-0 · Cited by 4
Fundamentals for predicting transcriptional regulations from DNA sequence patterns
Koido, M., Tomizuka, K., & Terao, C. (2024) · Journal of Human Genetics · doi:10.1038/s10038-024-01256-3 · Cited by 5
Predicting cell-type-specific non-coding RNA transcription from genome sequencePreprint
Koido, M., Hon, C.-C., Koyama, S., Kawaji, H., Murakawa, Y., Ishigaki, K., Ito, K., Sese, J., Kamatani, Y., Carninci, P., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.03.29.011205 · Cited by 3
Vochteloo, M., Deelen, P., Vink, B., Tsai, E. A., Runz, H., Andreu‐Sánchez, S., Fu, J., Zhernakova, A., Westra, H.-J., & Franke, L. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.07.28.501849 · Cited by 3
Wigdor, E. M., Samocha, K. E., Eberhardt, R. Y., Chundru, V. K., Firth, H. V., Wright, C. F., Hurles, M. E., & Martin, H. C. (2023) · medRxiv · doi:10.1101/2023.04.20.23288860 · Cited by 3
Low-usage splice junctions underpin immune-mediated disease riskPreprint
Garwany, O. E., Panousis, N. I., Knights, A. J., Kumasaka, N., Imaz, M., Vilarino, L. B., Tsingene, A., Barnett, A., Gomez, C., Gaffney, D. J., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.05.29.542728 · Cited by 3
Self-citationAkhtar, F., Hernández-Ruiz, J., Liu, Y., Resendez, R. G., Féliers, D., Morales, L. D., Díaz-Badillo, Á., Lehman, D. M., Arya, R., López-Alvarenga, J. C., et al. (2024) · eLife · doi:10.1101/2023.10.31.564937 · Cited by 4
Yin, J., Zheng, Y., Huang, Z., Zhou, W., Yuan, Y., Cai, P., Bai, Y., Yang, S., Gao, Y., Duan, S., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.01.26.634963 · Cited by 3
Perez‐Alcantara, M., Washer, S. J., Chen, Y., Steer, J., González‐Padilla, D., McWilliam, J., Willé, D. R., Panousis, N., Kolberg, P., Navarro‐Guerrero, E., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.08.18.670767 · Cited by 3
Self-citationRentzsch, P., Kollotzek, A., Ganapathy, K. R., Mohammadi, P., & Lappalainen, T. (2025) · Genome Research · doi:10.1101/gr.280360.124 · Cited by 2
A single-cell genetic colocalization test improves power and resolves disease-mediating cell typesPreprint
Mitchel, J., Nazeen, S., Wang, X., Patnaik, P. K., Morrow, A. R., Nasir, H., Strom, R., Ritter, D., Studer, L., Chun, S., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.10.10.681685 · Cited by 4
Neonatal genetics of gene expression reveal the origins of autoimmune and allergic disease riskPreprint
Huang, Q. Q., Tang, H. H. F., Teo, S. M., Ritchie, S. C., Nath, A. P., Brożyńska, M., Salim, A., Bakshi, A., Holt, B. J., Mok, D., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/683086 · Cited by 3
Early and late RNA eQTL are driven by different genetic mechanisms
Sakaue, S., Accelerating Medicines Partnership®: RA/SLE Network, Anolik, J. H., Apruzzese, W., Arazi, A., Barnas, J. L., Belmont, H. M., Berthier, C. C., Buyon, J. P., Curtis, M., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-72139-8 · Cited by 2
Probabilistic classification of gene-by-treatment interactions on molecular count phenotypes
Harigaya, Y., Matoba, N., Le, B. D., Valone, J. M., Stein, J. L., Love, M. I., & Valdar, W. S. J. (2025) · PLoS Genetics · doi:10.1371/journal.pgen.1011561 · Cited by 2
Genetic determinants of monocyte splicing are enriched for disease susceptibility loci
Nassiri, I., Gilchrist, J. J., Tong, O., Lau, E., Danielli, S., Al‐Mossawi, H., Neville, M. J., Knight, J. C., & Fairfax, B. P. (2025) · Nature Communications · doi:10.1038/s41467-025-63624-7 · Cited by 2
Immune cell-based transcriptomic Mendelian randomization and colocalization study on type 1 diabetes
Sklar, J., Stacey, D., Nickel, G., Butterworth, A. S., Allara, E., & Gaziano, L. (2025) · BMC Medicine · doi:10.1186/s12916-025-04527-8 · Cited by 4
Kato, M., Isazawa, A., Ohki, A., Fujita, A., Araki, M., Yanaizu, M., & Kino, Y. (2026) · Cell Communication and Signaling · doi:10.1186/s12964-026-02835-x · Cited by 2
Population-scale immune multiome atlas reveals regulatory disease mechanisms
Kanai, M., Delorey, T. M., Jarno, H., Rodosthenous, R. S., Juvila, J., Murphy, S., Teixeira-Soldano, I., Hwang, H. S., Karjalainen, J. M., Halonen, J., et al. (2026) · Nature · doi:10.1038/s41586-026-11078-2 · Cited by 16
Epigenome-augmented eQTL-hotspots reveal genome-wide transcriptional programs in 36 human tissues
Liu, H., Chen, Q., Guo, J., Zhou, Y., You, Z., Ren, J. T., Zeng, Y., Yang, J., Huang, J., & Li, Q. (2024) · Briefings in Bioinformatics · doi:10.1093/bib/bbae109 · Cited by 2
Adaptation in human immune cells residing in tissues at the frontline of infections
Salvador‐Martínez, I., Murga-Moreno, J., Nieto, J. C., Alsinet, C., Enard, D., & Heyn, H. (2024) · Nature Communications · doi:10.1038/s41467-024-54603-5 · Cited by 2
Using a Systems Biology Approach To Study Host-Pathogen Interactions
Yeung, A. T. Y., Hale, C., Clare, S., Palmer, S., Scott, J. B., Baker, S. G., & Dougan, G. (2020) · John Wiley & Sons, Inc. eBooks · doi:10.1128/9781683670261.ch24 · Cited by 2
Self-citationKnowles, D. A., Burrows, C. K., Blischak, J., Patterson, K. M., Ober, C., Pritchard, J. K., & Gilad, Y. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/212381 · Cited by 2
Hung, A., Housman, G., Briscoe, E. A., Cuevas, C., & Gilad, Y. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.02.22.432314 · Cited by 2
Foote, I. F., Flint, J. P., Fürtjes, A. E., Mullin, D. S., Fisk, J. D., Karakach, T. K., Rutenberg, A. D., Martin, N. G., Lupton, M. K., Llewellyn, D. J., et al. (2024) · medRxiv · doi:10.1101/2024.07.24.24310923 · Cited by 2
Matos, M. R., Ghatan, S., Bankier, S., Thompson, T. V., Lundy, K., Suzuki, M., Doña-Termine, R., Stauber, J., Reynolds, D. M., Rosales, K., et al. (2026) · medRxiv · doi:10.64898/2026.01.27.26344979 · Cited by 3
Genetic variation drives differences in obesity-related gene regulation
Kaikkonen, M. U. (2024) · Trends in Genetics · doi:10.1016/j.tig.2024.02.009 · Cited by 1
Mack, J. A., Akhtari, F. S., Burkholder, A., House, J. S., Sovio, U., Smith, G. C. S., Schmitt, C., Fargo, D. C., Hall, J. E., & Motsinger‐Reif, A. A. (2024) · Human Genetics and Genomics Advances · doi:10.1016/j.xhgg.2024.100385 · Cited by 2
Vecellio, M. L., & Selmi, C. F. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1518658 · Cited by 1
Xu, S., Peng, C., Ren, R., Lu, H., Zhao, H., Xia, S., Shen, Y., Xu, B., Zhang, H., Cheng, X., et al. (2025) · Cell Reports · doi:10.1016/j.celrep.2025.115476 · Cited by 1
Nguyen, D., Sandve, S. R., Lien, S., & Grønvold, L. (2025) · BMC Genomics · doi:10.1186/s12864-025-12302-5 · Cited by 2
McKee, C. M., Cranston, M., McKay, E. C., Arefian, M., Mawhinney, T. J., Collins, B. C., & Coll, R. C. (2026) · Cell Reports Methods · doi:10.1016/j.crmeth.2026.101506 · Cited by 1
Robert, S. M., & Rada-Iglesias, Á. (2023) · BioEssays · doi:10.1002/bies.202300038 · Cited by 1
Immunogenetics of Schizophrenia in the Light of Modern Genome-Wide Association Studies
Голимбет, В. Е. (2023) · Psikhiatriya · doi:10.30629/2618-6667-2023-21-5-40-46 · Cited by 1
Gaussian processes for time series with lead–lag effects with applications to biology data
Mu, W., Chen, J., Davis, E. S., Reed, K., Phanstiel, D. H., Love, M. I., & Li, D. (2025) · Biometrics · doi:10.1093/biomtc/ujae156 · Cited by 3
Induced pluripotent stem cells as models of human neurodevelopmental disorders
Jourdon, A., Mariani, J., Scuderi, S., Amiri, A., Wu, F., Yuen, E. Y., Abyzov, A. S., & Vaccarino, F. M. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-814409-1.00005-7 · Cited by 1
Dangerous liaisons: human genetic adaptation to infectious agents
Quintana‐Murci, L. (2021) · Comptes Rendus Biologies · doi:10.5802/crbiol.30 · Cited by 1
Bray, D., Hook, H., Zhao, R. W., Keenan, J. L., Penvose, A. R., Osayame, Y., Mohaghegh, N., & Siggers, T. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.04.21.053710 · Cited by 1
An integrated analysis of myeloid cells identifies gaps in in vitro models of in vivo biologyPreprint
Rajab, N., Angel, P. W., Deng, Y., Gu, J. L., Jameson, V. J., Kurowska‐Stolarska, M., Milling, S. W. F., Pacheco, C. M., Rutar, M., Laslett, A. L., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/719237 · Cited by 1
Nguyen, J., D’Antonio‐Chronowska, A., Fujita, K., Salgado, B. M., Matsui, H., Arthur, T. D., Donovan, M. K. R., D’Antonio, M., & Frazer, K. A. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.10.20.465206 · Cited by 1
Wang, J., Cheng, X., Liang, Q., Owen, L. A., Wang, M., DeAngelis, M. M., Li, Y., & Chen, R. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.11.16.516814 · Cited by 1
Wang, Q., Martínez‐Bonet, M., Kim, T., Sparks, J. A., Ishigaki, K., Chen, X., Sudman, M., Aguiar, V. R. C., Hernandez, M. C., Wactor, A., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.12.15.520628 · Cited by 1
Jiang, J., Hiron, T. K., Agbaedeng, T. A., Malhotra, Y., Drydale, E., Bancroft, J. M., Ng, E., Reschen, M. E., Davison, L. J., & O’Callaghan, C. A. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.09.14.557845 · Cited by 1
Multi-omics analysis in primary T cells elucidates mechanisms behind disease associated genetic lociPreprint
Orozco, G., Shi, C., Zhao, D., Rossi, S., Frantzeskos, A., Ding, J., Ferrazzano, C., Wynn, C., Hum, R. M., Richards, E., et al. (2023) · Research Square · doi:10.21203/rs.3.rs-3256438/v1 · Cited by 1
Akhtar, F., Hernández-Ruiz, J., Liu, Y., Resendez, R. G., Féliers, D., Morales, L. D., Díaz-Badillo, Á., Lehman, D. M., Arya, R., López-Alvarenga, J. C., et al. (2024) · eLife · doi:10.7554/elife.93108.1 · Cited by 1
Alveolar macrophages play a key role in tolerance to ozonePreprint
Smith, G. J., Nalesnik, M., Immormino, R. M., Simon, J. M., Harkema, J. R., Mock, J. R., Moran, T. P., & Kelada, S. N. P. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.02.18.580749 · Cited by 1
Hamilton, N. H., Huang, Y.-C. E., McMichael, B. D., Love, M. I., & Furey, T. S. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.02.05.636702 · Cited by 1
Single-cell multiomics of neuron activation reveals context-specific genetics of brain disordersPreprint
Liang, L., Zhang, S., Wang, Z., Zhang, H., Li, C., Thapa, C., Oh, E. K., Sirkin, D., Sun, X., Barishman, A., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.02.17.638682 · Cited by 1
Single-cell eQTL mapping identifies disease-specific genetic control of COVID-19 infectionPreprint
Astley, J., Kwok, A. J., Hollis, B., Dendrou, C. A., Sansom, S. C., Knight, J. C., Mentzer, A. J., Luo, Y., & Jostins-Dean, L. (2025) · medRxiv · doi:10.1101/2025.06.30.25330463 · Cited by 2
Jeong, R., & Bulyk, M. L. (2025) · eLife · doi:10.7554/elife.98289.2 · Cited by 2
ERASE: Extended Randomization for assessment of annotation enrichment in ASE datasetsPreprint
D’Sa, K., Reynolds, R. H., Guelfi, S., Zhang, D., García-Ruiz, S., (SGPD), S. G. O. P. D., Hardy, J., Taliun, S. A. G., Small, K. S., Ryten, M., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/600411
Censin, J. C., Bovijn, J., Holmes, M. V., & Lindgren, C. M. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.01.10.901116
Assessing the efficacy and safety of angiotensinogen inhibition using human geneticsPreprint
Bovijn, J., Censin, J. C., Lindgren, C. M., & Holmes, M. V. (2020) · medRxiv · doi:10.1101/2020.08.13.20174094
Dissecting Regulatory Mechanisms Underlying Noncoding GWAS SNPs on 20 Autoimmune DiseasePreprint
Chen, X., Guo, M.-R., Duan, Y.-Y., Jiang, F., Dong, S., Thynn, H. N., Liu, C., Zhang, L., Guo, Y., & Yang, T. (2019) · SSRN Electronic Journal · doi:10.2139/ssrn.3322367
Tovar, A., Crouse, W. L., Smith, G. J., Thomas, J. M., Keith, B. P., McFadden, K. M., Moran, T. P., Furey, T. S., & Kelada, S. N. P. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.01.29.428733
Zhou, T., Zhu, X., Ye, Z., Wang, Y., Yao, C., Xu, N., Zhou, M., Ma, J., Qin, Y., Shen, Y., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.06.11.448156
Human induced pluripotent stem cells for modeling of Salmonella infection
Forbester, J. L. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-823808-0.00009-2
Variation on a theme: mapping microglial heterogeneity
Washer, S. J., Bassett, A. R., & Cowley, S. A. (2021) · Trends in Genetics · doi:10.1016/j.tig.2021.09.004
Rajabi, F., Jabalameli, N., & Rezaei, N. (2022) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-92616-8_1
Tiwari, V. K., & Singh, A. P. (2020) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.737515832.793574153
Detecting isoform-level allelic imbalance accounting for inferential uncertaintyPreprint
Wu, E. Y., Singh, N. P., Choi, K., Zakeri, M., Vincent, M., Churchill, G., Ackert-Bicknell, C. L., Patro, R., & Love, M. (2022) · bioRxiv · doi:10.1101/2022.08.12.503785 · Cited by 3
Voda, A.-I., & Jostins-Dean, L. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.06.13.544716
Quantifying Adaptive Evolution of the Human Immune Cell LandscapePreprint
Salvador‐Martínez, I., Murga-Moreno, J., Nieto, J. C., Alsinet, C., Enard, D., & Heyn, H. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.10.06.559946
Akhtar, F., Ruiz, J. H., Liu, Y.-G., et al. (2024) · eLife · doi:10.7554/elife.93108.1.sa1
Akhtar, F., Ruiz, J. H., Liu, Y.-G., et al. (2024) · eLife · doi:10.7554/elife.93108.1.sa0
Xu, S., Ren, R., Peng, C., Lu, H., Ly, L. C., Crossley, M., Xu, B., Cheng, X., Blobel, G. A., & Lan, X. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.02.24.581901
Mu, Z., Wei, W., Fair, B. J., Miao, J., Zhu, P., & Li, Y. (2021) · Figshare · doi:10.6084/m9.figshare.14516255
Mu, Z., Wei, W., Fair, B. J., Miao, J., Zhu, P., & Li, Y. (2021) · Figshare · doi:10.6084/m9.figshare.14516264
Mu, Z., Wei, W., Fair, B. J., Miao, J., Zhu, P., & Li, Y. (2021) · Figshare · doi:10.6084/m9.figshare.14516261
Tian, W., Dong, S.-S., Jiang, F., Zhang, J.-Q., Wang, C., He, C.-Y., Hu, S.-Y., Hao, R.-H., Song, H., Gao, H.-W., et al. (2024) · bioRxiv · doi:10.1101/2024.06.11.598401
Liu, Y., Wu, H., Lv, H., & Zhou, Y. (2024) · Research Square · doi:10.21203/rs.3.rs-4588496/v1
eQTL in diseased colon tissue identifies novel target genes associated with IBDPreprint
Nishiyama, N. C., Silverstein, S., Darlington, K., Ng, M. M. K., Clough, K., Bauer, M. J., Beasley, C., Bharadwaj, A., Ganesan, R., Kapadia, M. R., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.10.14.618229
Response Quantitative Trait Loci Unveiling Gene-Environment Interactions in Diseases
Chen, Y., Wang, X., & Chen, C. (2025) · Biological Psychiatry · doi:10.1016/j.biopsych.2025.02.003
Ma, H., Wang, G., Miao, S., Jin, C., Cai, J., Ge, W., Zhang, E., Zhang, E., Ma, H., & Zhu, M. (2025) · Carcinogenesis · doi:10.1093/carcin/bgaf018
Improved chromatin quantitative trait loci mapping with CACTIPreprint
Wang, L., Qi, Z., & Liu, X. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.06.06.657866
Boltz, T. A., Bot, M. H. M., Lapinska, S., Schwarz, T., Hou, K., Garske, K. M., Freund, M. K., Bearden, C. E., Macaya, G., López‐Jaramillo, C., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.06.09.658613
Immune Cell-Based Transcriptomic Mendelian Randomization and Colocalization Study on Type 1 DiabetesPreprint
Sklar, J., Stacey, D., Nickel, G., Butterworth, A. S., Allara, E., & Gaziano, L. (2025) · medRxiv · doi:10.1101/2025.07.01.25330014
Lee, S. H., Kar, A., Heinonen, S., Alvarez, M., Rajkumar, S., Garske, K. M., Gelev, K. Z., van der Kolk, B. W., Säiläkivi, U., Saarinen, T., et al. (2025) · medRxiv · doi:10.1101/2025.07.11.25331390
Akhtar, F., Hernández-Ruiz, J., Liu, Y., Resendez, R. G., Féliers, D., Morales, L. D., Díaz-Badillo, Á., Lehman, D. M., Arya, R., López-Alvarenga, J. C., et al. (2025) · eLife · doi:10.7554/elife.93108.2
Cell type-specific eQTL analysis of COVID-19 based on single-cell transcriptomic data
Wang, C., Chen, X., Zhang, S., Zhu, Z., Du, M., He, G., Tan, S., Li, H., Zhang, D., Bai, J., et al. (2025) · NAR Genomics and Bioinformatics · doi:10.1093/nargab/lqaf130
Circulating chromatin reveals the effects of disease-associated variants on gene regulationPreprint
Zhang, Z., Chhetri, S. B., Semaan, K., Zhang, Z., Jin, Z., Sotudian, S., Liang, L., Gusev, A., & Baca, S. C. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.11.12.688010
In silico genome transplants and the cis-regulatory basis of biodiversity
Starr, A. L., Palmer, M. E., & Fraser, H. B. (2025) · Trends in Genetics · doi:10.1016/j.tig.2025.10.012
Lakhani, C. M., Cavalca, G., Liu, A., Nidumbur, R., Feng, R., Raj, T., Jager, P. L. D., Wang, G., & Knowles, D. A. (2025) · medRxiv · doi:10.64898/2025.12.03.25341562
Mu, Z., Wei, W., Fair, B. J., Miao, J., Zhu, P., & Li, Y. (2021) · Figshare · doi:10.6084/m9.figshare.14516258
Vochteloo, M., Deelen, P., Vink, B., Tsai, E. A., Runz, H., Andreu‐Sánchez, S., Fu, J., Zhernakova, A., Westra, H.-J., & Franke, L. (2024) · Figshare · doi:10.6084/m9.figshare.26670810
Vochteloo, M., Deelen, P., Vink, B., Tsai, E. A., Runz, H., Andreu‐Sánchez, S., Fu, J., Zhernakova, A., Westra, H.-J., & Franke, L. (2024) · Figshare · doi:10.6084/m9.figshare.26670783
Vochteloo, M., Deelen, P., Vink, B., Tsai, E. A., Runz, H., Andreu‐Sánchez, S., Fu, J., Zhernakova, A., Westra, H.-J., & Franke, L. (2024) · Figshare · doi:10.6084/m9.figshare.26670792
Zhang, P., Amarasinghe, H. E., Whalley, J. P., Tay, C., Fang, H., Migliorini, G., Brown, A., Allcock, A., Scozzafava, G., Rath, P., et al. (2022) · Figshare · doi:10.6084/m9.figshare.20156800
Mu, Z., Wei, W., Fair, B. J., Miao, J., Zhu, P., & Li, Y. (2021) · Figshare · doi:10.6084/m9.figshare.14516267
Metadata
- Authors
- HIPSCI Consortium, Alasoo, K., Rodrigues, J., Mukhopadhyay, S., Knights, A. J., Mann, A. L., Kundu, K., Hale, C., Dougan, G., & Gaffney, D. J.
- Affiliations
- Wellcome Sanger Institute (GB)
- University of Cambridge (GB)
- Corresponding author
- Alasoo, Kaur
- Gaffney, Daniel J.
- ORCID
- Venue
- Nature Genetics
- Published
- 2018-01-29
- Volume
- 50
- Issue
- 3
- Pages
- 424-431
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- PMC
- PMC6548559
- OpenAlex
- W2785443776
- Cited by
- 338
- References
- 74
- Citations by year
- 2026: 37 · 2025: 45 · 2024: 50 · 2023: 45 · 2022: 35 · 2021: 48 · 2020: 36 · 2019: 33 · 2018: 7
- FWCI
- 11.29
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Genetics (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Research Portal (King's College London) (submittedVersion)
- Apollo
- Funders
- Life Technologies Corporation
- Wellcome Trust (WT099754, 098503, WT 098051, 098051)
- LifeArc
- Eesti Teadusagentuur
- Medical Research Council (MC_PC_12026)
- 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 › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Keywords
- chromatin accessibility, expression quantitative trait loci, macrophages, interferon-gamma, Salmonella, immune response, regulatory variants, PU.1, NF-κB, STAT2, transcription factor binding, quantitative trait loci
- MeSH terms
- Cells, Cultured, Chromatin, Enhancer Elements, Genetic, Female, Humans, Immunity, Cellular, Macrophages, Male, Protein Binding, Salmonella Infections, Salmonella typhimurium, Transcription Factors, Gene Expression, Quantitative Trait Loci
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