The Genotype-Tissue Expression (GTEx) Project

The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans

The GTEx Consortium, Ardlie, K. G., Deluca, D. S., Segrè, A. V., Sullivan, T. J., Young, T. R., Gelfand, E. T., Trowbridge, C. A., Maller, J. B., Tukiainen, T., et al. (2015) · Science · doi:10.1126/science.1262110 · Cited by 5,062

A Novel Approach to High-Quality Postmortem Tissue Procurement: The GTEx Project

Carithers, L. J., Ardlie, K., Barcus, M., Branton, P. A., Britton, A., Buia, S. A., Compton, C. C., DeLuca, D. S., Peter-Demchok, J., Gelfand, E. T., et al. (2015) · Biopreservation and Biobanking · doi:10.1089/bio.2015.0032 · Cited by 833

Family decision maker perspectives on the return of genetic results in biobanking research

Siminoff, L. A., Traino, H. M., Mosavel, M., Barker, L. K., Gudger, G., & Undale, A. H. (2015) · Genetics in Medicine · doi:10.1038/gim.2015.38 · Cited by 36

Times Are Changing: 35 Years of Human Biospecimen Procurements for the National Disease Research Interchange

Bell, T. J., & Leinweber, B. (2015) · Biopreservation and Biobanking · doi:10.1089/bio.2015.29032.tjb · Cited by 6

Integrated analysis of disulfidptosis-related genes SLC7A11, SLC3A2, RPN1 and NCKAP1 across cancers

Zheng, Z., & Song, Y. (2024) · Discover Oncology · doi:10.1007/s12672-024-01612-x · Cited by 6

Isobaric Labeling Update in MaxQuant

Ferretti, D., Kyriakidou, P., Xiao, J., Urazbakhtin, S. Z., Nart, C. D., & Cox, J. (2025) · Journal of Proteome Research · doi:10.1021/acs.jproteome.4c00869 · Cited by 5

PTPN4 germline variants result in aberrant neurodevelopment and growth

Chmielewska, J. J., Burkardt, D. D., Granadillo, J. L., Slaugh, R., Morgan, S., Rotenberg, J., Keren, B., Mignot, C., Escobar, L., Turnpenny, P. D., et al. (2021) · Human Genetics and Genomics Advances · doi:10.1016/j.xhgg.2021.100033 · Cited by 6

Functional annotation of noncoding mutations in cancer

Umer, H. M., Smolińska, K., Komorowski, J., & Wadelius, C. (2021) · Life Science Alliance · doi:10.26508/lsa.201900523 · Cited by 6

Characterization of Pyroptosis-Related Subtypes via RNA-Seq and ScRNA-Seq to Predict Chemo-Immunotherapy Response in Triple-Negative Breast Cancer

Li, C., Pan, J., Jiang, Y., Wu, Y., Jin, Z., & Chen, X. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.788670 · Cited by 6

Local genetic covariance between serum urate and kidney function estimated with Bayesian multitrait models

Lupi, A. S., Sumpter, N. A., Leask, M., O'Sullivan, J. M., Fadason, T., Campos, G. D. L., Merriman, T. R., Reynolds, R. J., & Vazquez, A. I. (2022) · G3 Genes Genomes Genetics · doi:10.1093/g3journal/jkac158 · Cited by 6

Missense variants in CYP4B1 associated with increased risk of lung cancer among Chinese Han population

Yang, Y., Yuan, S., Yan, S., Dong, K., & Yang, Y. (2023) · World Journal of Surgical Oncology · doi:10.1186/s12957-023-03223-2 · Cited by 6

Prominent genetic variants and epigenetic changes in post-traumatic stress disorder among combat veterans

Baghaei, A., Zoshk, M. Y., Hosseini, M., Dastjerdi, H. F., Nassireslami, E., Shayesteh, S., Laripour, R., Amoli, A. E., Heidari, R., & Chamanara, M. (2024) · Molecular Biology Reports · doi:10.1007/s11033-024-09276-0 · Cited by 7

Introduction to Functional Bioinformatics

Pushparaj, P. N. (2019) · Springer eBooks · doi:10.1007/978-3-030-02634-9_11 · Cited by 6

Association of expression quantitative trait loci for long noncoding RNAs with lung cancer risk in Asians

Sun, Q., Wang, Y., Fan, J., Li, Z., Zhang, J., Wang, L., Fan, X., Ji, M., Zhu, M., Dai, J., et al. (2019) · Molecular Carcinogenesis · doi:10.1002/mc.23013 · Cited by 6

DeepGP: An Integrated Deep Learning Method for Endocrine Disease Gene Prediction Using Omics Data

Zhang, N., Wang, G., Chen, X., Zhang, L., & Zang, T. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.700061 · Cited by 6

A rational approach to assess off-target reactivity of a dual-signal integrator for T cell therapy

Wang, X., Wong, L. M., McElvain, M. E., Martire, S., Lee, W.-H., Li, C. Z., Fisher, F. A., Maheshwari, R. L., Wu, M. L., Imun, M. C., et al. (2022) · Toxicology and Applied Pharmacology · doi:10.1016/j.taap.2022.115894 · Cited by 6

Times Are Changing: 35 Years of Human Biospecimen Procurements for the National Disease Research Interchange

Bell, T. J., & Leinweber, B. (2015) · Biopreservation and Biobanking · doi:10.1089/bio.2015.29032.tjb · Cited by 6

Novel genetic determinants of telomere length from a trans-ethnic analysis of 109,122 whole genome sequences in TOPMedPreprint

Taub, M. A., Conomos, M. P., Keener, R., Iyer, K. R., Weinstock, J. S., Yanek, L. R., Lane, J., Miller‐Fleming, T. W., Brody, J. A., McHugh, C., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/749010 · Cited by 6

Cystatin C is a glucocorticoid response gene predictive of cancer immunotherapy failurePreprint

Kleeman, S. O., Ferrer, M., Demestichas, B., Bankier, S., Lee, H., Heywood, T., Ruusalepp, A., Bjorkegren, J. L. M., Walker, B., Meyer, H. V., et al. (2021) · medRxiv · doi:10.1101/2021.08.17.21261668 · Cited by 4

Profiling antigen-binding affinity of B cell repertoires in tumors by deep learning predicts immune-checkpoint inhibitor treatment outcomes

Song, B., Wang, K., Na, S., Yao, J., Fattah, F. J., Martin, A. L., von Itzstein, M. S., Yang, D. M., Liu, J., Xue, Y., et al. (2025) · Nature Cancer · doi:10.1038/s43018-025-01001-5 · Cited by 5

A novel bioinformatic approach reveals cooperation between Cancer/Testis genes in basal-like breast tumors

Laisné, M., Rodgers, B., Benlamara, S., Wicinski, J., Nicolas, A., Djerroudi, L., Gupta, N., Ferry, L., Kirsh, O., Daher, D., et al. (2024) · Oncogene · doi:10.1038/s41388-024-03002-7 · Cited by 6

Pan-Cancer Upregulation of the FOXM1 Transcription Factor

Pozzobon, D., Bellezza, A., & Giorgi, F. M. (2025) · Genes · doi:10.3390/genes16010056 · Cited by 5

Genetic analyses identify circulating genes related to brain structures associated with Parkinson’s disease

Han, Z., Zhu, Y., Xia, Z., Deng, Q., He, H., Yin, Q., Zhang, H., Yuan, M., Yang, C., Tian, G., et al. (2025) · npj Parkinson s Disease · doi:10.1038/s41531-024-00859-z · Cited by 5

Sexual selection and pseudogenization in primate fertilization

Carlisle, J. A., Bickell, A. L., & Hart, M. W. (2025) · Evolution · doi:10.1093/evolut/qpaf072 · Cited by 5

Evolution and Comprehensive Analysis of DNaseI Hypersensitive Sites in Regulatory Regions of Primate Brain-Related Genes

Lu, Y., Wang, X., Yu, H., Li, J., Jiang, Z., Chen, B., Lu, Y., Wang, W., Han, C., Ouyang, Y., et al. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.00152 · Cited by 5

Understanding the unimodal distributions of cancer occurrence rates: it takes two factors for a cancer to occur

Qiu, S., An, Z., Tan, R., He, P., Jing, J., Li, H., Wu, S., & Xu, Y. (2020) · Briefings in Bioinformatics · doi:10.1093/bib/bbaa349 · Cited by 5

Biovalue in Human Brain Banking: Applications and Challenges for Research in Neurodegenerative Diseases

Vedam‐Mai, V. (2021) · Methods in molecular biology · doi:10.1007/978-1-0716-1783-0_17 · Cited by 5

Gene Expression Analysis Links Autocrine Vasoactive Intestinal Peptide and ZEB1 in Gastrointestinal Cancers

Rao, I. H., Waller, E. K., Dhamsania, R. K., & Chandrasekaran, S. (2023) · Cancers · doi:10.3390/cancers15133284 · Cited by 5

Cadherin dysregulation in gastric cancer: insights into gene expression, pathways, and prognosis

Wang, H., Mazzocca, A., & Gao, P. (2023) · Journal of Gastrointestinal Oncology · doi:10.21037/jgo-23-700 · Cited by 5

REEP3 is a potential diagnostic and prognostic biomarker correlated with immune infiltration in pancreatic cancer

Liu, G.-H., Tan, X., Xu, Z.-Y., Li, J., Zhong, G.-H., Zhai, J., & Li, M. (2024) · Scientific Reports · doi:10.1038/s41598-024-64720-2 · Cited by 5

Implications of a De Novo Variant in the SOX12 Gene in a Patient with Generalized Epilepsy, Intellectual Disability, and Childhood Emotional Behavioral Disorders

Treccarichi, S., Calı̀, F., Vinci, M., Ragalmuto, A., Musumeci, A., Federico, C., Costanza, C., Bottitta, M., Greco, D., Saccone, S., et al. (2024) · Current Issues in Molecular Biology · doi:10.3390/cimb46070383 · Cited by 5

MI-MAAP: marker informativeness for multi-ancestry admixed populations

Chen, S., Ghandikota, S. K., Gautam, Y., & Baye, T. M. (2020) · BMC Bioinformatics · doi:10.1186/s12859-020-3462-5 · Cited by 5

Multi-omics landscape of circadian rhythm pathway alterations in Glioma

Zhang, C., Xu, J., Chen, L., & Lin, X. (2021) · Bioengineered · doi:10.1080/21655979.2021.1947075 · Cited by 5

Lactate dehydrogenase regulates basal glucose uptake in adipocytes

Minemura, T., Fukuhara, A., Otsuki, M., & Shimomura, I. (2022) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2022.03.113 · Cited by 5

Decosus: An R Framework for Universal Integration of Cell Proportion Estimation Methods

Anene, C. A., Taggart, E., Harwood, C. A., Pennington, D. J., & Wang, J. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.802838 · Cited by 5

Germline variation in RASAL2 may predict survival in patients with RAS ‐activated colorectal cancer

Wills, C., Watts, K., Maughan, T., Fisher, D. J., Tassan, N. A. A., Houlston, R. S., Escott‐Price, V., & Cheadle, J. P. (2023) · Genes Chromosomes and Cancer · doi:10.1002/gcc.23133 · Cited by 5

Computational derivation of a molecular framework for hair follicle biology from disease genes

Severin, R. K., Li, X., Qian, K., Mueller, A., & Petukhova, L. (2017) · Scientific Reports · doi:10.1038/s41598-017-16050-9 · Cited by 5

The Pharmacoepigenomics Informatics Pipeline Defines a Pathway of Novel and Known Warfarin Pharmacogenomics Variants

Allyn-Feuer, A., Ade, A. S., Luzum, J. A., Higgins, G. A., & Athey, B. D. (2018) · Pharmacogenomics · doi:10.2217/pgs-2017-0186 · Cited by 5

Genome-wide analysis of expression quantitative trait loci identified potential lung cancer susceptibility variants among Asian populations

Fan, J., Zhu, M., Wang, Y., Li, Z., Zhang, J., Wang, L., Sun, Q., Dai, J., Jin, G., Hu, Z., et al. (2018) · Carcinogenesis · doi:10.1093/carcin/bgy165 · Cited by 5

A proteogenomic surfaceome study identifies DLK1 as an immunotherapeutic target in neuroblastomaPreprint

Weiner, A. K., Radaoui, A. B., Tsang, M., Martínez, D., Sidoli, S., Conkrite, K. L., Delaidelli, A., Modi, A., Rokita, J. L., Patel, K., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.12.06.570390 · Cited by 5

Cross-phenotype association analysis of gastric cancer: in-silico functional annotation based on the disease–gene network

Lee, S., Yang, H., Lee, H.-J., Park, D. J., Kong, S., & Park, S. K. (2023) · Gastric Cancer · doi:10.1007/s10120-023-01380-7 · Cited by 4

Evaluating the Causal Effect of Circulating Proteome on Glycemic Traits: Evidence From Mendelian Randomization

Xing, X., Xu, S., Wang, Y., Shen, Z., Wen, S., Zhang, Y., Ruan, G., & Cai, G. (2024) · Diabetes · doi:10.2337/db24-0262 · Cited by 5

Novel BRAT1 Deep Intronic Variant Affects Splicing Regulatory Elements Causing Cerebellar Hypoplasia Syndrome: Genotypic and Phenotypic Expansion

Poleg, T., Proskorovski‐Ohayon, R., Dolgin, V., Hadar, N., Safran, A., Agam, N., Jean, M. M., Freund, O., Gradstein, L., Shelef, I., et al. (2024) · Clinical Genetics · doi:10.1111/cge.14653 · Cited by 4

The multidimensional role of SLC16A4 in hepatocellular carcinoma in silico analysis: prognostic significance, metabolic pathways, and immune microenvironment regulation

Jiang, L., Shen, Y., Feng, Z., Wang, Y., Zhu, Y., Shen, Y., & Peng, Q. (2025) · European journal of medical research · doi:10.1186/s40001-025-03275-y · Cited by 4

uPAR is highly expressed in recurrent glioblastoma and represents a candidate CAR T cell target

Maich, W. T., Shaikh, M. V., Puri, A., Rossotti, M. A., Grewal, S., Khanna, A., Anand, A., Mikolajewicz, N., Seyfrid, M., McKenna, D., et al. (2026) · Science Translational Medicine · doi:10.1126/scitranslmed.aea8381 · Cited by 4

Genomic Variant Annotation: A Comprehensive Review of Tools and Techniques

Hebbar, P., & Sowmya, S. K. (2022) · Lecture notes in networks and systems · doi:10.1007/978-3-030-96308-8_98 · Cited by 4

Casein Kinase 1α as a Novel Factor Affects Thyrotropin Synthesis via PKC/ERK/CREB Signaling

Wang, B., Zhang, J., Zhang, D., Lu, C., Liu, H., Gao, Q., Niu, T., Yin, M., & Cui, S. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24087034 · Cited by 4

Escaping but not the inactive X-linked protein complex coding genes may achieve X-chromosome dosage compensation and underlie X chromosome inactivation-related diseases

Xing, Z., Zhang, Y., Tian, Z., Wang, M., Xiao, W., Zhu, C., Zhao, S., Zhu, Y., Hu, L., & Kong, X. (2023) · Heliyon · doi:10.1016/j.heliyon.2023.e17721 · Cited by 6

Genetic differences according to onset age and lung function in asthma: A cluster analysis

Kim, H., Kang, J., Lim, J. E., Ha, T., Jung, H. U., Lee, W. J., Kim, D. J., Baek, E. J., Adcock, I. M., Chung, K. F., et al. (2023) · Clinical and Translational Allergy · doi:10.1002/clt2.12282 · Cited by 4

Interaction between RNF4 and SART3 is associated with the risk of schizophrenia

Cheng, Y., Chen, X., Zhang, X. Q., Ju, P. J., Wang, W. D., Fang, Y., Lin, G. N., & Cui, D. H. (2024) · Heliyon · doi:10.1016/j.heliyon.2024.e32743 · Cited by 4

Multi-omics analysis reveals critical cis-regulatory roles of transposable elements in livestock genomes

Wang, C., Lei, B., Bao, Y., Wang, Z., Chen, C., Zhang, Y., Qin, S., Sun, T., Tang, Z., & Liu, Y. (2025) · iScience · doi:10.1016/j.isci.2025.112049 · Cited by 4

DNA Methylation Smoking Scores and Risk of Islet Autoimmunity and Type 1 Diabetes

Vanderlinden, L. A., Wong, E., Johnson, R. K., Carry, P. M., Dong, F., Kechris, K. J., Rewers, M., & Norris, J. M. (2025) · Diabetes Care · doi:10.2337/dc25-0330 · Cited by 4

Absence of Correlation between Chimeric RNA and Aging

Huang, R., Kumar, S., & Li, H. (2017) · Genes · doi:10.3390/genes8120386 · Cited by 4

TempoMAGE: a deep learning framework that exploits the causal dependency between time-series data to predict histone marks in open chromatin regions at time-points with missing ChIP-seq datasets

Hallal, M., Awad, M., & Khoueiry, P. (2021) · Bioinformatics · doi:10.1093/bioinformatics/btab513 · Cited by 4

Cis‐regulation of antisense non‐coding RNA at the JAZF1 locus in type 2 diabetes

Ding, Q., Zhao, W., Long, J., AlSafar, H. S., Zhou, Q., & Chen, H. (2022) · The Journal of Gene Medicine · doi:10.1002/jgm.3407 · Cited by 4

Contribution of TEX15 genetic variants to the risk of developing severe non-obstructive oligozoospermia

Guzmán‐Jiménez, A., González‐Muñoz, S., Cerván‐Martín, M., Rivera‐Egea, R., Garrido, N., Luján, S., Santos‐Ribeiro, S., Castilla, J. A., Gonzalvo, M. C., Clavero, A., et al. (2022) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2022.1089782 · Cited by 5

The prognostic and immunological role of MYB: from bladder cancer validation to pan-cancer analysis

Cui, X., Zhang, C., Zhang, L., & Yan, H. (2023) · Bioscience Reports · doi:10.1042/bsr20222627 · Cited by 4

Identification of KNOP1 as a prognostic marker in hepatocellular carcinoma

Zhang, Y., Wang, G., & Wang, M. (2023) · Translational Cancer Research · doi:10.21037/tcr-23-4 · Cited by 4

Integrative Bioinformatics Approaches for Identification of Drug Targets in Hypertension

Hemerich, D., van Setten, J., Tragante, V., & Asselbergs, F. W. (2018) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2018.00025 · Cited by 3

Alimentary system is directly attacked by SARS‐COV‐2 and further prevents immune dysregulation caused by COVID‐19

Chen, S., Zhou, J., Ou, X., Cheng, W., Qin, Y., Guo, Y., & Jiang, Y. (2020) · International Journal of Clinical Practice · doi:10.1111/ijcp.13893 · Cited by 5

Impact of Nonsynonymous Single-Nucleotide Variations on Post-Translational Modification Sites in Human Proteins

Gulzar, N., Dingerdissen, H., Yan, C., & Mazumder, R. (2017) · Methods in molecular biology · doi:10.1007/978-1-4939-6783-4_8 · Cited by 4

Coupling Large-Scale Omics Data for Deciphering Systems Complexity

Nehme, A., Awada, Z., Kobeissy, F. H., Mazurier, F., & Zibara, K. (2018) · RNA technologies · doi:10.1007/978-3-319-92967-5_8 · Cited by 4

Disruption of Redox Balance Enhances the Effects of BRAF-inhibition in Melanoma CellsPreprint

Paudel, B. B., Lewis, J. E., Hardeman, K. N., Hayford, C. E., Robbins, C. T., Codreanu, S. G., Sherrod, S. D., MCLEAN, J. A. J., Kemp, M. L., & Quaranta, V. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/818989 · Cited by 4

Genetic mechanisms underlying East Asian and European Facial differentiationPreprint

Wang, S., Zhang, M., Wu, S., Du, S., Qian, W., Chen, K. J., Qiao, L., Yang, Y., Tan, J., Navarro, N., et al. (2021) · Research Square · doi:10.21203/rs.3.rs-604881/v1 · Cited by 4

Single-cell RNA Sequencing Analysis of Sputum Cell Transcriptomes Reveals Pathways and Communication Networks That Contribute to the Pathogenesis of AsthmaPreprint

Yan, X., Liu, Q., Adams, T. S., Schupp, J. C., Li, S., Huang, S., Grant, N., Wilson, G., Gómez, J. L., Cohn, L. E., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.03.31.646405 · Cited by 4

ATACdb 2.0: a comprehensive chromatin accessibility database of human and mouse

Fang, Q.-L., Qian, F., Yu, Z., Li, B., Meng, X., Cui, T., Yu, T., Li, Y., Li, L., Feng, C., et al. (2025) · Nucleic Acids Research · doi:10.1093/nar/gkaf1222 · Cited by 5

Multi-omic characterization of air pollution effects: Applications of AirSigOmniTWP Hub

Liu, W., Liu, T., Si, X., Liang, J., Xia, Y., Zhang, J., Pang, B., Luo, W., Liu, J., Yang, H., et al. (2024) · Ecotoxicology and Environmental Safety · doi:10.1016/j.ecoenv.2024.116939 · Cited by 3

Evaluation of genetic susceptibility between systemic lupus erythematosus and GRB2 gene

Xu, M., Liu, Y., Li, X., Cheng, C., Liu, Y., Dong, W., Du, S., & Xiao, S. (2019) · Scientific Reports · doi:10.1038/s41598-019-46827-z · Cited by 3

Four pleiotropic loci associated with fat mass and lean mass

Liu, Y., Ran, S., Lin, Y., Zhang, Y., Yang, X., Wei, X., Jiang, Z., He, X., Zhang, H., Feng, G.-J., et al. (2020) · International Journal of Obesity · doi:10.1038/s41366-020-0645-0 · Cited by 3

Lipid-Associated Variants near ANGPTL3 and LPL Show Parent-of-Origin Specific Effects on Blood Lipid Levels and Obesity

Lessmark, A., Hatem, G., Kovács, G., Vitai, M., Ahlqvist, E., Tuomilehto, J., Koranyi, L. I., Groop, L., & Prasad, R. B. (2021) · Genes · doi:10.3390/genes13010091 · Cited by 3

The differentially expressed proteins related to clinical viral encephalitis revealed by proteomics

Wang, Q., Yan, S., Zhang, J., Du, R., Xue, L., Li, J., & Yu, C. (2022) · Ibrain · doi:10.1002/ibra.12036 · Cited by 3

AgingReG: a curated database of aging regulatory relationships in humans

Piao, M., Feng, K., Liu, X., Bai, X., Zheng, Y., Sun, M., Zhao, P., Wang, Y., Ban, X., Xiong, J., et al. (2023) · Database · doi:10.1093/database/baad064 · Cited by 3

Spatiotemporal expression and coexpression patterns of SRPK1 in the human brain: A neurodevelopmental perspective

Wang, J., Roy, S. K., & Xu, Y. (2023) · Brain and Behavior · doi:10.1002/brb3.3341 · Cited by 2

Somatic GNAQ , CTNNB1 , and CACNA1C Mutations in Cat Aldosterone-Secreting Tumors

Watson, A. H., Syme, H. M., & Brown, M. J. (2024) · Hypertension · doi:10.1161/hypertensionaha.124.23501 · Cited by 3

A phenopushing platform to identify compounds that alleviate acute hypoxic stress by fast-tracking cellular adaptation

Li, L., Hammerlindl, H., Shen, S. Q., Bao, F., Hammerlindl, S., Altschuler, S. J., & Wu, L. F. (2025) · Nature Communications · doi:10.1038/s41467-025-57754-1 · Cited by 3

Cigarette smoke modulates methylation levels of LEF1-AS1 and impedes its expression: An experimental study

Almutairi, B. O., Rady, A. M., Aljuhani, B., & Almutairi, M. H. (2025) · Tobacco Induced Diseases · doi:10.18332/tid/203507 · Cited by 3

Development and Validation of a Gene Signature for Prediction of Relapse in Stage I Testicular Germ Cell Tumors

Zhou, J., Yang, J., Jin, S., Xiao, S., Shi, L., Ting-you, Z., Ma, H., & Gaipl, U. S. (2020) · Frontiers in Oncology · doi:10.3389/fonc.2020.01147 · Cited by 3

Assessing the achievements and uncertain future of paleoepigenomics

Smith, R. W. A., & Non, A. L. (2021) · Epigenomics · doi:10.2217/epi-2021-0382 · Cited by 3

In‐silico selection of cancer blood plasma proteins by integrating genomic and proteomic databases

Chatterjee, G., Ferris, B., Momenbeitollahi, N., & Li, H. (2021) · PROTEOMICS · doi:10.1002/pmic.202100230 · Cited by 3

Characteristics of Pyroptosis-Related Subtypes and Novel Scoring Tool for the Prognosis and Chemotherapy Response in Acute Myeloid Leukemia

Pan, J., Jiang, Y., Li, C., Jin, T., Yu, K., & Jin, Z. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.898236 · Cited by 3

Genome-wide association analysis of 350,000 Caucasians from the UK Biobank identifies novel loci for asthma, hay fever and eczemaPreprint

Johansson, Å., Rask‐Andersen, M., Karlsson, T., & Ek, W. E. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/195933 · Cited by 3

Pan-Cancer Analysis Identifies BCLAF1 as a Potential Biomarker for Renal Cell Carcinoma

Yan, H., Wu, X., Li, H., Yu, Z., & Jin, X. (2024) · Biochemical Genetics · doi:10.1007/s10528-024-10773-x · Cited by 2

Long noncoding RNA VENTHEART is required for ventricular cardiomyocyte specification and function

Yang, Y., Dashi, A., Soong, P. L., Lin, K., Tan, W. L. W., Pan, B., Autio, M. I., Tiang, Z., Hartman, R. J. G., Wei, H., et al. (2024) · Journal of Molecular and Cellular Cardiology · doi:10.1016/j.yjmcc.2024.10.009 · Cited by 2

Genetic insights into the shared molecular mechanisms of Crohn’s disease and breast cancer: a Mendelian randomization and deep learning approach

Wang, Z. Z., Yang, J., Zhang, Z. Y., & Wang, P. B. (2025) · Discover Oncology · doi:10.1007/s12672-025-01978-6 · Cited by 2

Germline mosaicism in TCF20-associated neurodevelopmental disorders: a case study and literature review

Poquérusse, J., Whitford, W., Taylor, J. P., Gregersen, N., Love, D. R., Tsang, B., Drake, K. M., Snell, R. G., Lehnert, K., & Jacobsen, J. C. (2025) · Journal of Human Genetics · doi:10.1038/s10038-025-01323-3 · Cited by 2

Association of IL ‐13 Gene Polymorphism (rs20541) With Chronic Inflammatory Diseases: A Systematic Review and Meta‐Analysis

Letchumanan, G., & Say, Y. (2025) · International Journal of Immunogenetics · doi:10.1111/iji.70018 · Cited by 4

From Genome-Wide SNPs to Neuroimmune Crosstalk: Mapping the Genetic Landscape of IBD and Its Brain Overlap

Tripathi, U., Stern, Y., Dagan, I., Nayak, R., Romanovsky, E., Zittan, E., & Stern, S. (2025) · Biology · doi:10.3390/biology14101433 · Cited by 2

Cadmium exposure induces renal fibrosis by inhibiting hsa_circ_0075684/miR-363-3p/KLF4 signaling pathway

Zhou, J., Huang, Y., Li, G., Zhao, Z., Deng, Y., Xian, S., Hu, Y., Yi, M., & Liu, L. (2026) · Scientific Reports · doi:10.1038/s41598-026-39715-w · Cited by 2

Cancer epitope prediction tools and analysis pipelines in CEDAR

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