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EQTL analyses are a formidable tool to define the immunogenetic mechanisms underpinning Spondyloarthropathies

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Multi-ancestry genome-wide association meta-analysis identifies candidate genes for computed tomography-based carcass composition traits in pigs

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Unravelling the molecular mechanisms causal to type 2 diabetes across global populations and disease-relevant tissues

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Single-cell expression QTL analyses of the human cerebellum reveal vulnerability of oligodendrocytes in essential tremor

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Trans-regulation of heterochromatin underlies genetic variation in 3D genome contacts in mouse embryonic stem cells

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Co-expression-based models improve eQTL predictions for transcriptome-wide association studies and highlight new schizophrenia-associated genes

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Human genetics across levels of biological organization

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The power paradox of detecting disease-associated and gene-expression-associated variants

Amariuta, T. (2023) · Nature Genetics · doi:10.1038/s41588-023-01525-5 · Cited by 1

Diet composition impacts eQTL discovery across multiple tissues in baboons

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Tremor in the Age of Omics: An Overview of the Transcriptomic Landscape of Essential Tremor

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Uncovering causal gene-tissue pairs and variants through a multivariate TWAS controlling for infinitesimal effects

Yang, Y., Lorincz‐Comi, N. J., & Zhu, X. (2025) · Nature Communications · doi:10.1038/s41467-025-61423-8 · Cited by 1

Accurate, sensitive, and efficient chromatin accessibility quantification at target loci using UNIChro-seq

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Regulatory genomics at biobank scales

Montgomery, S. B. (2025) · Nature Reviews Genetics · doi:10.1038/s41576-025-00879-2 · Cited by 1

The atlas of promoter-enhancer interactions during myogenic differentiation offers novel insights into genetic variants related to meat traits in pigs

An, Y., Zhang, C., Ge, Z., Li, Y., Wen, C., Ding, R., Han, P., Yue, Y., Wu, J. W., Jin, J., et al. (2025) · Journal of Integrative Agriculture · doi:10.1016/j.jia.2025.05.009 · Cited by 1

Integrative multi-omics analysis identifies genetically supported druggable targets for inflammatory bowel disease

Gu, S., Zeng, S.-L., Zhang, W., Shen, C., Yuan, C., Song, Y., & Ye, Q. (2025) · Journal of Genetic Engineering and Biotechnology · doi:10.1016/j.jgeb.2025.100608 · Cited by 1

Chromatin conformation dynamics during CD4+ T cell activation implicates autoimmune disease-associated genes and regulatory elementsPreprint

Pahl, M. C., Sharma, P. K., Thomas, R. M., Thompson, Z., Mount, Z., Pippin, J. A., Morawski, P. A., Su, C., Campbell, D., Grant, S. F. A., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.04.05.535731 · Cited by 1

Multiomics-based causal inference identifies novel therapeutic targets for inflammatory bowel disease in East AsiansPreprint

Kim, J. O., Lee, S. Y., Kim, E. G., Lee, E., Lee, J., & Shim, Y. J. (2023) · Research Square · doi:10.21203/rs.3.rs-3531113/v1 · Cited by 1

Inference of causal and pleiotropic effects with multiple weak genetic instruments: application to effect of adiponectin on type 2 diabetesPreprint

McKeigue, P., Iakovliev, A., Spiliopoulou, A., Erabadda, B., & Colhoun, H. M. (2023) · medRxiv · doi:10.1101/2023.12.15.23300008 · Cited by 1

Context-specific eQTLs reveal causal genes underlying shared genetic architecture of critically ill COVID-19 and idiopathic pulmonary fibrosisPreprint

Dalapati, T., Wang, L., Jones, A. G., Cardwell, J., Konigsberg, I. R., Bossé, Y., Sin, D. D., Timens, W., Hao, K., Yang, I. V., et al. (2024) · medRxiv · doi:10.1101/2024.07.13.24310305 · Cited by 1

Dynamic chromatin architecture identifies new autoimmune-associated enhancers for IL2 and novel genes regulating CD4+ T cell activationPreprint

Pahl, M. C., Sharma, P. K., Thomas, R. M., Thompson, Z., Mount, Z., Pippin, J. A., Morawski, P. A., Sun, P., Su, C., Campbell, D., et al. (2024) · eLife · doi:10.7554/elife.96852.2 · Cited by 1

Identification of genes conferring individual-level variation responsible for metabolic dysfunction-associated steatohepatitis using single-cell eQTL analysisPreprint

Hong, S. E., Mun, S. J., Lee, Y. J., Yoo, T., Suh, K., Kang, K. W., Son, M. J., Kim, W. S., & Choi, M. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.09.20.614203 · Cited by 1

Powerful mapping of cis -genetic effects on gene expression across diverse populations reveals novel disease-critical genesPreprint

Akamatsu, K., Golzari, S., & Amariuta, T. (2024) · medRxiv · doi:10.1101/2024.09.25.24314410 · Cited by 2

Integrated cell type-specific analysis of blood and gut identifies matching eQTL for 140 IBD risk loci and entrectinib as possible repurposing candidatePreprint

Perée, H., Петров, В. А., Tokunaga, Y., Kvasz, A., Vieujean, S., Regimont, S., Mni, M., Wéry, M., Azarzar, S., Jacques, S., et al. (2024) · medRxiv · doi:10.1101/2024.10.14.24315443 · Cited by 1

Genetic regulation of the vascular endothelial growth factor receptor 1 during sepsis and association with ARDS susceptibilityPreprint

Suarez-Pajes, E., Shrine, N. R. G., Tosco-Herrera, E., Hernández-Beeftink, T., Rubio‐Rodríguez, L. A., García-Laorden, M. I., Corrales, A., Prieto-González, M., Rodríguez, A., Carriedo, D., et al. (2025) · medRxiv · doi:10.1101/2025.01.30.25321087 · Cited by 1

Iterative improvement of deep learning models using synthetic regulatory genomicsPreprint

Ribeiro-dos-Santos, A. M., & Maurano, M. T. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.02.04.636130 · Cited by 1

Disease-associated loci share properties with response eQTLs under common environmental exposuresPreprint

Lin, W., Li, M., Allen, O., Burnett, J. E., Popp, J. M., Stephens, M., Battle, A. J., & Gilad, Y. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.04.30.651602 · Cited by 5

Transcriptional and translational genetic control in blood contributes significantly to complex trait heritability and polygenic predictionPreprint

Liu, S., Qian, X., Wu, Y., Zheng, Z., Goddard, M. E., Yang, J., Visscher, P. M., & Zeng, J. (2025) · medRxiv · doi:10.1101/2025.05.24.25328265 · Cited by 1

Cell-type-resolved genetic regulatory variation shapes inflammatory bowel disease riskPreprint

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Long-read transcriptome assembly reveals vast transcriptional complexity in the placenta associated with metabolic and endocrine functionPreprint

Bresnahan, S. T., Yong, H. E. J., Wu, W. H., Lopez, S., Chan, J. K. Y., White, F., Jacques, P., Hivert, M., Chan, S., Love, M. I., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.06.26.661362 · Cited by 1

Genetic integration reveals causal effects of chromatin accessibility on nucleosome positioning across diverse muscle cells

Wang, X., Robertson, C. C., Varshney, A., Manickam, N., Orchard, P., Laakso, M., Tuomilehto, J., Lakka, T. A., Mohlke, K. L., Boehnke, M., et al. (2026) · Nature Communications · doi:10.1101/2025.09.09.674883 · Cited by 1

Meta-analysis of genetic regulation of RNA editing in the human brain identifies new genes underlying neurological diseasePreprint

Dredge, W. H., Kailash, B. P., Réal, A., Muller, B. Z., Jang, B., Fu, T., Seo, H., Won, H., Breen, M. S., Xiao, X. G., et al. (2025) · medRxiv · doi:10.1101/2025.09.30.25337026 · Cited by 1

Chromatin accessibility variation provides insights into missing regulation underlying immune-mediated diseasesPreprint

Jeong, R., & Bulyk, M. L. (2025) · eLife · doi:10.7554/elife.98289.2 · Cited by 2

Nonlinear transcriptional responses to gradual modulation of transcription factor dosagePreprint

Domingo, J., Minaeva, M., Morris, J. A., Ghatan, S., Ziosi, M., Sanjana, N. E., & Lappalainen, T. (2025) · eLife · doi:10.7554/elife.100555.2 · Cited by 1

Ensembl’s regulatory annotation for human, mouse, livestock, and aquaculture speciesPreprint

Ilsley, G. R., Lins, P. R. B., Merino, G. A., Urbina-Gómez, D., & Harrison, P. W. (2026) · Research Square · doi:10.21203/rs.3.rs-8007521/v1 · Cited by 1

Federated single-cell QTL meta-analysis reveals novel disease mechanismsPreprint

Kaptijn, D., Michielsen, L., Neavin, D. R., Ripoll-Cladellas, A., Alquicira-Hernández, J., Korshevniuk, M., Lee, J. T. H., Oelen, R., Vochteloo, M., Warmerdam, R., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.01.20.700519 · Cited by 2

Single-cell CRISPR activation screens in primary B cells discover gene regulatory mechanisms for hundreds of autoimmune risk lociPreprint

Kriachkov, V. A., Hui, J. C. W., Lancaster, J., Vespasiani, D. M., Denny, N., Hamley, J. C., Gubbels, L., Bandala‐Sanchez, E., Neeland, M. R., Levi, E., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.03.01.708923 · Cited by 1

The Human Pleiotropic Map of GWAS Associations and Therapeutic ImplicationsPreprint

Tsepilov, Y. A., Süveges, D., Considine, D., Szyszkowski, S., Ge, X. J., Santiago, I. L., Rusina, P. V., Alegbe, T., Ho, V. W., Tsukanov, K., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.04.28.721048 · Cited by 3

Long-read RNA-seq resolves isoform-level and context-specific regulatory architecture of complex traits in cattlePreprint

Zheng, W., Zhang, Q., He, J., Zhu, X., Gong, M., Li, H., Liu, L., Li, J., Ma, Z., Han, B., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.06.04.730050 · Cited by 1

Scalable context-dependent single-cell eQTL mapping reveals disease-relevant regulatory variation beyond static modelsPreprint

Liu, Y. C., Cuomo, A. S. E., Huang, Y., Pérez‐Schindler, J., Min, B., Datta, S., NAMBRATH, N., Hu, L., Nam, K., Kanai, M., et al. (2026) · medRxiv · doi:10.64898/2026.08.13.26360300 · Cited by 1

Context Dependent Perturbation of Allelic Expression Imbalance Reveals Novel Candidate Therapeutic Targets for Metabolic diseasesPreprint

Moon, S., & Park, S. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.11.06.565672

Shared and unique chromatin accessibility and 3D functional interactions of substance use disorder loci implicate cell types beyond the brainPreprint

Trang, B. K., Chesi, A., Toikumo, S., Pippin, J. A., Pahl, M. C., O’Brien, J. M., Amundadottir, L. T., Brown, K. M., Yang, W., Welles, J. E., et al. (2024) · medRxiv · doi:10.1101/2024.07.18.24310649

Does Sex-Differential Gene Expression Drive Sex-Differential Selection in Humans?Preprint

Ming, M. J., Cheng, C., Kirkpatrick, M., & Harpak, A. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.07.23.604672

Reviewer #3 (Public Review): Dynamic chromatin architecture identifies new autoimmune-associated enhancers for IL2 and novel genes regulating CD4+ T cell activation

(2024) · eLife · doi:10.7554/elife.96852.2.sa1

Reviewer #1 (Public Review): Dynamic chromatin architecture identifies new autoimmune-associated enhancers for IL2 and novel genes regulating CD4+ T cell activation

(2024) · eLife · doi:10.7554/elife.96852.2.sa3

Author response: Dynamic chromatin architecture identifies new autoimmune-associated enhancers for IL2 and novel genes regulating CD4+ T cell activation

Pahl, M. C., Sharma, P. K., Thomas, R. M., Thompson, Z., Mount, Z., Pippin, J. A., Morawski, P. A., Sun, P., Su, C., Campbell, D., et al. (2024) · eLife · doi:10.7554/elife.96852.2.sa0

Reviewer #2 (Public Review): Dynamic chromatin architecture identifies new autoimmune-associated enhancers for IL2 and novel genes regulating CD4+ T cell activation

(2024) · eLife · doi:10.7554/elife.96852.2.sa2

eLife Assessment: Dynamic chromatin architecture identifies new autoimmune-associated enhancers for IL2 and novel genes regulating CD4+ T cell activation

Banovich, N. E. (2024) · eLife · doi:10.7554/elife.96852.2.sa4

Uncovering methylation-dependent genetic effects on regulatory element function in diverse genomesPreprint

Petersen, R. M., Vockley, C. M., & Lea, A. J. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.08.23.609412

Integration of GWAS and multi-omic QTLs identifies uncharacterized COVID-19 gene-biotype and phenotype associationsPreprint

Oliva, M., King, E. A., Hammond, R. K., Lee, J. S., Riley-Gillis, B. M., Resztak, J., & Degner, J. F. (2024) · medRxiv · doi:10.1101/2024.09.05.24313137

gsQTL: Associating genetic risk variants with gene sets by exploiting their shared variabilityPreprint

Bouland, G. A., Tesi, N., Mahfouz, A. E., & Reinders, M. J. T. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.09.13.612853

Cell-type-specific mapping of enhancers and target genes from single-cell multimodal dataPreprint

Su, C., Lee, D., Jin, P. K., & Zhang, J. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.09.24.614814

Protein–protein interactions shape trans -regulatory impact of genetic variation on protein expression and complex traitsPreprint

Li, J., Li, Y., & Liu, X. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.10.02.616321

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

Chromatin State Maps of Blood Pressure-Relevant Renal Segments Reveal Potential Regulatory Role for SNPs

Ray, A., Yang, C., Stelloh, C. T., Tutaj, M., Liu, P., Liu, Y., Qiu, Q., Auer, P. L., Lin, C., Widlansky, M. E., et al. (2024) · Hypertension · doi:10.1161/hypertensionaha.124.23873

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

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

Quantitative trait loci mapping of gene expression and chromatin accessibility in primary fibroblast reveals shared allelic effects between Latin American and European ancestriesPreprint

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

snATAC-Express infers Gene Expression from Prioritized Chromatin Accessibility Peaks using Machine LearningPreprint

Brown, M. A., Ferrari, A., Dodd, A., Fang, S., Kolachala, V. L., Kugathasan, S., Wolfinger, R. D., & Gibson, G. C. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.07.25.666784

Flexible and efficient count-distribution and mixed-model methods for eQTL mapping with quasarPreprint

Pullin, J. M., Choi, J., McCarthy, D. J., & Wallace, C. (2025) · medRxiv · doi:10.1101/2025.07.17.25331702

Multi-ancestry fine-mapping of the chromosome 17q12-q21 asthma locus identifies independent associations implicating lymphocyte and eosinophil levels in the causal pathwayPreprint

Ben-Eghan, C., Munter, M., Terao, C., Diaz-Papkovich, A., Gravel, S., Lathrop, M. G., & Grant, A. V. (2025) · medRxiv · doi:10.1101/2025.08.05.25333026

Interactions Between Dietary Metabolites and Regulatory Risk Variants for Human Colon CancerPreprint

Fabo, T., Meyers, R. M., Padhi, E. M., Kellman, L. N., Zhao, Y., Kundu, S., Reynolds, D. L., Chen, Z., Yang, X., Ko, L. A., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.09.05.674475

Genome-Wide Aggregated Trans -Effects Analysis Implicates Deficient Type III Interferon Signaling as a Key Cause of Inflammatory Bowel Disease

McKeigue, P., Iakovliev, A., Erabadda, B., Colhoun, H. M., & Spiliopoulou, A. (2025) · Inflammatory Bowel Diseases · doi:10.1093/ibd/izaf214 · Cited by 1

Functional Category-Specific Intolerance Reflects Genic Function and Clinical RelevancePreprint

Duan, Y., Stavrianidis, C., Shaw, G. T.-W., Sottolano, C. J., Rajagopalan, R., Jadhav, T., Rhodes, G. E., Hayeck, T. J., & Allen, A. S. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.09.24.678298

The genetic influence of sex on gene expression for blood in pigs

Lin, Q., Huang, J., Zhou, T., Chitotombe, T. T., Teng, J., & Li, J. (2025) · BMC Genomics · doi:10.1186/s12864-025-12029-3 · Cited by 2

A novel class of non-coding variants driving DNA double-strand breaks is associated with complex genetic diseasesPreprint

Auber, S., Collins, S., Buyan, A., Aiusheeva, A. Z., Finoux, A.-L., Saur, F., Cohen, S., Rocher, V., Arnould, C., Verbanck, M., et al. (2025) · medRxiv · doi:10.1101/2025.10.16.25338147

Frequent functional orthology of long noncoding RNAs and genomic loci associated with complex traits and disordersPreprint

Cummins, M. J., & Mattick, J. S. (2025) · medRxiv · doi:10.1101/2025.10.31.25339260

Multi-ancestry Transcriptome-Wide Association Study Reveals Shared and Population-Specific Genetic Effects in Alzheimer’s DiseasePreprint

Sun, X.-Y., Mews, M. A., Wheeler, N. R., Benchek, P. H., Gu, T.-J., Gomez, L., Ray, N., Reitz, C., Naj, A., Below, J., et al. (2025) · bioRxiv · doi:10.1101/2025.11.03.686160

Dissecting the Cellular Genetics of Cardiovascular Disease Through Endothelial and Immune Compartments ProfilingPreprint

Watt, S., Ozols, M., Landini, A., Liu, B., Sharapov, S., Zanotti, D., Gabriela, I. D., Solomon, C. U., Xu, Y., Balogun, T., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.11.10.687750

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

How do genetic association studies rank genes?

(2025) · Nature · doi:10.1038/d41586-025-03651-y

Predicting gene-specific regulation with transcriptomic and epigenetic single-cell data

Rumpf, L., Ardakani, F. B., Hecker, D., & Schulz, M. H. (2026) · Bioinformatics · doi:10.1093/bioinformatics/btag299

Deciphering genetic susceptibility to clear cell renal cell carcinoma

Mandelia, M., Law, P., Mills, C., Went, M., Vijayakrishnan, J., & Houlston, R. S. (2025) · Communications Biology · doi:10.1038/s42003-025-09297-w

Machine Learning-Based Prediction of Cell-type Resolved Brain eQTLs Enhances Discovery of Variants Explaining Alzheimer’s Disease HeritabilityPreprint

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

Trans-regulation of heterochromatin underlies genetic variation in 3D genome contactsPreprint

Fortin, H. J., Struba, A. Z., & Baker, C. L. (2025) · bioRxiv · doi:10.64898/2025.12.10.693515 · Cited by 1

Longitudinal modelling reveals widespread non-additive genetic effects underlying developmental plasticityPreprint

Porneso, R. P. O., Havdahl, A., Eilertsen, E. M., & Ystrøm, E. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.19.695443

The Quantitative Genetics of Human Disease: 3B Interactions—Non-Additivity and Missing Heritability

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Farm animal evolution demonstrates hidden molecular basis of human traitsPreprint

Connally, N. J., & Sunyaev, S. R. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.02.703413

IDENTIFYING DRUG TARGETS FOR SCHIZOPHRENIA THROUGH GENE PRIORITIZATION

Heilbron, K., Kraft, J., Braun, A., Awasthi, S., Panagiotaropoulou, G., Schipper, M., Bell, N. Y., Posthuma, D., Pardiñas, A. F., & Ripke, S. (2024) · Translational Psychiatry · doi:10.1016/j.euroneuro.2024.08.036 · Cited by 4

eQTL in diseased colon tissue identifies potential target genes associated with IBD

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. (2026) · Nature Communications · doi:10.1038/s41467-026-69364-6 · Cited by 1

Co-expression-based models improve eQTL predictions and highlight novel transcriptome-wide genes associated with schizophreniaPreprint

Rossi, F., Sportelli, L., Kikidis, G. C., Grassi, G., Camillo, F. D., Bertolino, A., Blasi, G., Borcuk, C., Fusco, D., Hyde, T. M., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.10.704353

Haplotype-rich cis -regulation underlies transcriptomic diversity across the breeding history of maize ( Zea mays )Preprint

Grzybowski, M., & Schnable, J. C. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.19.706772

Division state reveals hidden genetic regulation during T cell activation and identifies immune disease–linked gene programmesPreprint

Gozzard, M., Sonehara, K., Ly, K. C. H., Rupall, T. S., Ke, Z., Ibarra-Soria, X., Lotfollahi, M., Soskic, B., Jones, C. P., Bakker, O. B., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.22.707277

Genome wide association and integrative analysis of backfat thickness in a Yorkshire pig population

Wang, J., Cai, X., Zhong, Z., Lin, Q., Gao, Y., Wei, F., Si, J., Li, J., Qiu, X., & Zhang, Z. (2026) · Journal of Animal Science · doi:10.1093/jas/skag074

Genetic influences on haematopoiesis

Poeschla, M., & Sankaran, V. G. (2026) · Nature Reviews Genetics · doi:10.1038/s41576-026-00947-1 · Cited by 1

Immune dysfunction in psychiatric disorders: emerging genomic insights

McGrath, I. M., & Lynall, M.-E. (2026) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2026.102467

Deciphering the genetic control of immune cell function at single-cell resolution: Disease-Specific Cis-eQTLs analysis of COVID-19

Romanova, E. I., Tychinin, D. I., Shaymardanov, A. M., Akimov, V. E., Korobeinikova, A. V., Shiryagin, V. V., Guskova, N. I., Astafieva, V. A., Shingaliev, A. S., Antonova, O. A., et al. (2026) · Immunogenetics · doi:10.1007/s00251-026-01396-0

Unmasking FCGR2B as a high-grade serous ovarian cancer specific marker of immune suppression and tumor progression through multi-omics mining

Zhou, J., Zeng, T., Ye, M., Li, M., Wen, L., Liu, X., Zhang, Z., & Meng, Y. (2026) · Translational Oncology · doi:10.1016/j.tranon.2026.102748

TBX5 dosage governs ventricular cardiomyocyte maturation, specialization and dedifferentiation in vivoPreprint

Giovou, A. E., Mulleners, O. J., Caliandro, R., Warnaar, V. A. J., Boender, A., Klerk, M., Rivaud, M. R., Kuster, D. W. D., Giacca, M., Jensen, B. K., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.04.13.718086

Mapping active cis-regulatory elements from transcription initiation eventsPreprint

Einarsson, H., Navamajiti, N., Vaagensø, C., Pellegrini, S., Jirström, L., Alcaraz, N., Thodberg, M., Solvie, D., Qiu, W., Sheth, M. U., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.05.11.724207

Genetic‐Proteomic Integration Identifies Predictive Plasma Proteins for Multiple Sclerosis

Ding, Y., Hamitouche, D., Thebault, S., Kearns, P., Abdelhak, A., & Harroud, A. (2026) · Annals of Neurology · doi:10.1002/ana.78256

CRISPR decodes the RNA regulatory network in prostate cancer: A review from mechanisms to precision therapeutics

Zhu, S., Gao, N., Zhang, P., Yang, Y., He, H., Jiang, J., & Li, Z. (2026) · Non-coding RNA Research · doi:10.1016/j.ncrna.2026.05.001

The genetics of transcriptional responses to stress in yeastPreprint

Alexander, N., Boocock, J., Marquez, H., Bloom, J. S., & Kruglyak, L. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.05.29.728873

Mapping genetic risk mechanisms for immune-mediated diseases across human dendritic cell differentiationPreprint

Cohn, O., Weng, C., Ye, T., Neehus, A., Guo, C., Norford, L. B., Kao, E., & Sankaran, V. G. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.05.28.728586

A large-scale single cell map of primary and conditional regulatory variation in the human brainPreprint

Lee, S., Hamdan, Z., Huntress, S. S., Yang, A., & Guo, M. H. (2026) · medRxiv · doi:10.64898/2026.05.30.26354534

Cell-specific regulatory circuits connect genetic variation to disease susceptibilityPreprint

Oelen, R., Korshevniuk, M., Niewold, J., Kaptijn, D., van der Werff, M., Bonder, M. J., Franke, L., & van der Wijst, M. G. P. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.06.01.729215

Limited overlap of eQTLs and GWAS hits due to systematic differences in discoveryPreprint

Mostafavi, H., Spence, J. P., Naqvi, S., & Pritchard, J. K. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.05.07.491045 · Cited by 86

Advanced ALK-positive lung cancer with lorlatinib versus crizotinib in Asian patients with brain metastases

Hung, S. (2021) · European Journal of Hospital Pharmacy · doi:10.1136/ejhpharm-2021-003018

A meta-analysis of chromatin-associated loci provides insights into mechanistic interpretations of trait heritabilityPreprint

Dudek, M. F., Wenz, B. M., Voight, B. F., Almasy, L. A., & Grant, S. F. A. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.03.19.712994 · Cited by 1

From genome to function by studying eQTLs

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Candidate Causal Regulatory Effects by Integration of Expression QTLs with Complex Trait Genetic Associations

Nica, A. C., Montgomery, S. B., Dimas, A. S., Stranger, B. E., Beazley, C., Barroso, I., & Dermitzakis, E. T. (2010) · PLoS Genetics · doi:10.1371/journal.pgen.1000895 · Cited by 435