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

VitiVar: A locus specific database of vitiligo associated genes and variations

Gupta, I., Narang, A., Singh, P., Manchanda, V., Khanna, S., Mukerji, M., Natarajan, V. T., & Dash, D. (2019) · Gene · doi:10.1016/j.gene.2019.100018 · Cited by 14

A Two-Path Network for Cell Counting

Jiang, N., & Yu, F. (2021) · IEEE Access · doi:10.1109/access.2021.3078481 · Cited by 14

PDGFRB is a potential prognostic biomarker and correlated with immune infiltrates in gastric cancer

Liu, B., Xiao, X., Lin, Z., Lou, Y., & Zhao, L. (2021) · Cancer Biomarkers · doi:10.3233/cbm-210335 · Cited by 14

miR-375 is cold exposure sensitive and drives thermogenesis in visceral adipose tissue derived stem cells

Seeliger, C., Krauss, T., Honecker, J., Mengel, L. A., Buekens, L., Mesas‐Fernández, A., Skurk, T., Claussnitzer, M., & Hauner, H. (2022) · Scientific Reports · doi:10.1038/s41598-022-13610-6 · Cited by 16

Comparative Proteomic Analysis Identifies Key Metabolic Regulators of Gemcitabine Resistance in Pancreatic Cancer

Lin, Q., Shen, S., Qian, Z., Rasam, S. S., Serratore, A., Jusko, W. J., Kandel, E., Qu, J., & Straubinger, R. M. (2022) · Molecular & Cellular Proteomics · doi:10.1016/j.mcpro.2022.100409 · Cited by 14

Using MARRVEL v1.2 for Bioinformatics Analysis of Human Genes and Variant Pathogenicity

Wang, J., Mao, D., Fazal, F., Kim, S., Yamamoto, S., Bellen, H. J., & Liu, Z. (2019) · Current Protocols in Bioinformatics · doi:10.1002/cpbi.85 · Cited by 14

Novel PRMT7 mutation in a rare case of dysmorphism and intellectual disability

Poquérusse, J., Whitford, W., Taylor, J. P., Alburaiky, S., Snell, R. G., Lehnert, K., & Jacobsen, J. C. (2021) · Journal of Human Genetics · doi:10.1038/s10038-021-00955-5 · Cited by 14

Recovering genotypes and phenotypes using allele-specific genes

Gürsoy, G., Lu, N., Wagner, S. A., & Gerstein, M. (2021) · Genome biology · doi:10.1186/s13059-021-02477-x · Cited by 14

Circulating Isovalerylcarnitine and Lung Cancer Risk: Evidence from Mendelian Randomization and Prediagnostic Blood Measurements

Smith-Byrne, K., Cerani, A., Guida, F., Zhou, S., Agudo, A., Aleksandrova, K., Barricarte, A., Rodríguez‐Barranco, M., Bochers, C. H., Gram, I. T., et al. (2022) · Cancer Epidemiology Biomarkers & Prevention · doi:10.1158/1055-9965.epi-21-1033 · Cited by 13

Genetic risk of clozapine-induced leukopenia and neutropenia: a genome-wide association study

Chen, J., Yang, P., Zhang, Q., Chen, R., Wang, P., Liu, B., Sun, W., Jian, X., Xiang, S., Zhou, J., et al. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01470-z · Cited by 13

Integrative assessment of CIP2A overexpression and mutational effects in human malignancies identifies possible deleterious variants

Tarek, M., Yahia, A., Elnakib, M., & ElHefnawi, M. (2021) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2021.104986 · Cited by 14

The impact of ALDH7A1 variants in oral cancer development and prognosis

Lu, H., Chuang, C., Chen, M., Su, C., Yang, W., Yeh, C., Lai, K.-M., Tang, C., Lin, C., & Yang, S.-F. (2022) · Aging · doi:10.18632/aging.204099 · Cited by 13

Pin-Pointing the Key Hubs in the IFN-γ Pathway Responding to SARS-CoV-2 Infection

Toro, A. R., Lage-Vickers, S., Bizzotto, J. A., Vilicich, F., Sabater, A. A., Pascual, G., Ledesma-Bazan, S., Sanchis, P., Ruiz, M. S., Arévalo, A. P., et al. (2022) · Viruses · doi:10.3390/v14102180 · Cited by 13

Deletion of Dlk2 increases the vulnerability to anxiety-like behaviors and impairs the anxiolytic action of alprazolam

Navarrete, F., García‐Gutiérrez, M. S., Laborda, J., & Manzanares, J. (2017) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2017.08.015 · Cited by 13

Alu exaptation enriches the human transcriptome by introducing new gene ends

Lavi, E., & Carmel, L. (2018) · RNA Biology · doi:10.1080/15476286.2018.1429880 · Cited by 13

Functionally oriented analysis of cardiometabolic traits in a trans-ethnic sample

Petty, L. E., Highland, H. M., Gamazon, E. R., Hu, H., Karhade, M., Chen, H., de Vries, P. S., Grove, M. L., Aguilar, D. A., Bell, G. I., et al. (2019) · Human Molecular Genetics · doi:10.1093/hmg/ddy435 · Cited by 13

A genome-wide search for determinants of survival in 1926 patients with advanced colorectal cancer with follow-up in over 22,000 patients

Wills, C., He, Y., Summers, M. G., Lin, Y., Phipps, A. I., Watts, K., Law, P., Tassan, N. A. A., Maughan, T., Kaplan, R. S., et al. (2021) · European Journal of Cancer · doi:10.1016/j.ejca.2021.09.047 · Cited by 13

Ku70 senses cytosolic DNA and assembles a tumor-suppressive signalosome

Pandey, A., Shen, C. X., Feng, S., Tuipulotu, D. E., Ngo, C., Liu, C., Kurera, M., Mathur, A., Venkataraman, S., Zhang, J., et al. (2024) · Science Advances · doi:10.1126/sciadv.adh3409 · Cited by 12

Safety Implications of Modulating Nuclear Receptors: A Comprehensive Analysis from Non-Clinical and Clinical Perspectives

Rao, M. S., McDuffie, E., Srivastava, S., Plaisted, W. C., & Sachs, C. W. (2024) · Pharmaceuticals · doi:10.3390/ph17070875 · Cited by 12

GPCards: An integrated database of genotype–phenotype correlations in human genetic diseases

Li, B., Wang, Z., Chen, Q., Li, K., Wang, X., Wang, Y., Zeng, Q., Han, Y., Lü, B., Zhao, Y., et al. (2021) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2021.03.011 · Cited by 11

Neuropathologic damage induced by radiofrequency ablation at different temperatures

Dong, Y., Chen, Y., Yao, B., Song, P., Xu, R., Li, R., Liu, P., Zhang, Y., Li, M., Tong, X., et al. (2022) · Clinics · doi:10.1016/j.clinsp.2022.100033 · Cited by 12

Bioinformatics analysis of the clinical significance of HLA class II in breast cancer

Wu, G., Xiao, G., Yan, Y., Guo, C., Hu, N., & Shen, S. (2022) · Medicine · doi:10.1097/md.0000000000031071 · Cited by 12

Development of a necroptosis-related gene signature and the immune landscape in ovarian cancer

Nie, S., Ni, N., Chen, N., Gong, M., Feng, E., Liu, J., & Liu, Q. (2023) · Journal of Ovarian Research · doi:10.1186/s13048-023-01155-9 · Cited by 12

Small open reading frames: a comparative genetics approach to validation

Jain, N., Richter, F., Adzhubei, I. A., Sharp, A. J., & Gelb, B. D. (2023) · BMC Genomics · doi:10.1186/s12864-023-09311-7 · Cited by 12

A robust gene expression-based prognostic risk score predicts overall survival of lung adenocarcinoma patients

Chen, E., Wang, P., Lou, H., Wang, Y., Yan, H., Bi, L., Liu, L., Li, B., Snijders, A. M., Mao, J., et al. (2017) · Oncotarget · doi:10.18632/oncotarget.23490 · Cited by 12

Mining the Proteome Associated with Rheumatic and Autoimmune Diseases

Ruíz‐Romero, C., Lam, M. P. Y., Nilsson, P., Önnerfjord, P., Utz, P. J., Eyk, J. E. V., Venkatraman, V., Fert‐Bober, J., Watt, F. E., & Blanco, F. J. (2019) · Journal of Proteome Research · doi:10.1021/acs.jproteome.9b00360 · Cited by 12

A Review of Statistical Methods for Identifying Trait-Relevant Tissues and Cell Types

Zhu, H., Shang, L., & Zhou, X. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2020.587887 · Cited by 11

Bioinformatics and System Biology Approach to Reveal the Interaction Network and the Therapeutic Implications for Non-Small Cell Lung Cancer Patients With COVID-19

Zhuang, Z., Zhong, X., Chen, Q., Chen, H., & Liu, Z. (2022) · Frontiers in Pharmacology · doi:10.3389/fphar.2022.857730 · Cited by 12

The effects of sequencing depth on the assembly of coding and noncoding transcripts in the human genome

Babarinde, I. A., & Hutchins, A. P. (2022) · BMC Genomics · doi:10.1186/s12864-022-08717-z · Cited by 11

A statistical method for image-mediated association studies discovers genes and pathways associated with four brain disorders

He, J., Antonyan, L., Zhu, H., Ardila, K., Li, Q., Enoma, D., Zhang, W., Liu, A., Chekouo, T., Cao, B., et al. (2023) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2023.11.006 · Cited by 11

Utilizing machine learning algorithms to identify biomarkers associated with diabetic nephropathy: A review

Dong, B., Liu, X., & Yu, S. (2024) · Medicine · doi:10.1097/md.0000000000037235 · Cited by 11

From single nucleotide variations to genes: identifying the genetic links between sleep and psychiatric disorders

Jia, N., Zhu, Z., Liu, Y., Yin, X., Man, L., Hou, W., Zhang, H., Yu, Q., & Hui, L. (2024) · SLEEP · doi:10.1093/sleep/zsae209 · Cited by 13

An Integrative Pan-Cancer Analysis of the Prognostic and Immunological Role of Casein Kinase 2 Alpha Protein 1 (CSNK2A1) in Human Cancers: AStudy Based on Bioinformatics and Immunohistochemical Analysis

Wu, R., Tang, W., Qiu, K., Li, P., Li, Y., Li, D., & He, Z. (2021) · International Journal of General Medicine · doi:10.2147/ijgm.s330500 · Cited by 11

Mapping the Cord Blood Transcriptome of Pregnancies Affected by Early Maternal Anemia to Identify Signatures of Fetal Programming

Hatem, G., Hjort, L., Asplund, O., Minja, D. T. R., Msemo, O. A., Møller, S. L., Lavstsen, T., Groth-Grunnet, L., Lusingu, J., Hansson, O., et al. (2022) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgac010 · Cited by 13

Integrated co-expression network analysis uncovers novel tissue-specific genes in major depressive disorder and bipolar disorder

Han, M., Yuan, L., Huang, Y., Wang, G., Du, C., Wang, Q., & Zhang, G. (2022) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2022.980315 · Cited by 11

Exploring Plausible Therapeutic Targets for Alzheimer's Disease using Multi-omics Approach, Machine Learning and Docking

Dharshini, S. A. P., Sneha, N. P., Yesudhas, D., Kulandaisamy, A., Rangaswamy, U., Anusuya, S., Taguchi, Y., & Gromiha, M. M. (2022) · Current Topics in Medicinal Chemistry · doi:10.2174/1568026622666220902110115 · Cited by 12

A transcriptome-wide association study provides new insights into the etiology of osteoarthritis

Wang, W., Ou, Z., Peng, J., Zhou, Y., & Wang, N. (2022) · Annals of Translational Medicine · doi:10.21037/atm-22-4471 · Cited by 11

Integrated transcriptomic–genomic tool Texomer profiles cancer tissues

Wang, F., Zhang, S., Kim, T., Lin, Y.-Y., Iqbal, R., Wang, Z., Mohanty, V., Sircar, K., Karam, J. A., Wendl, M. C., et al. (2019) · Nature Methods · doi:10.1038/s41592-019-0388-9 · Cited by 9

Spectrum of Mesenchymal–Epithelial Transition Aberrations and Potential Clinical Implications: Insights From Integrative Pancancer Analysis

Li, J., Hu, K., Zhou, L., Huang, J., Zeng, S., Xu, Z., & Yan, Y. (2020) · Frontiers in Oncology · doi:10.3389/fonc.2020.560615 · Cited by 11

Integrating genome-wide association and transcriptome prediction model identifies novel target genes for osteoporosis

Zhu, M., Yin, P., Hu, F., Jiang, J., Yin, L., Li, Y., & Wang, S. (2021) · Osteoporosis International · doi:10.1007/s00198-021-06024-z · Cited by 11

Broad misappropriation of developmental splicing profile by cancer in multiple organs

Singh, A., Rajeevan, A., Gopalan, V., Agrawal, P., Day, C., & Hannenhalli, S. S. (2022) · Nature Communications · doi:10.1038/s41467-022-35322-1 · Cited by 9

Exome Sequencing Identifies Genetic Variants Associated with Circulating Lipid Levels in Mexican Americans: The Insulin Resistance Atherosclerosis Family Study (IRASFS)

Gao, C., Tabb, K. L., Dimitrov, L. M., Taylor, K. D., Wang, N., Guo, X., Long, J., Rotter, J. I., Watanabe, R. M., Curran, J. E., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-23727-2 · Cited by 11

Exome-wide analysis of bi-allelic alterations identifies a Lynch phenotype in The Cancer Genome Atlas

Buckley, A. R., Ideker, T., Carter, H. K., Harismendy, O., & Schork, N. J. (2018) · Genome Medicine · doi:10.1186/s13073-018-0579-5 · Cited by 9

Polymorphisms of BLK are associated with renal disorder in patients with systemic lupus erythematosus

Di, D., Ye, Q.-L., Wu, X., Zhang, L., Wang, X., Liu, R., Huang, Q., Ni, J., & Leng, R. (2020) · Journal of Human Genetics · doi:10.1038/s10038-020-0756-4 · Cited by 10

TCGA mRNA Expression Analysis of the Heme Biosynthesis Pathway in Diffusely Infiltrating Gliomas: A Comparison of Typically 5-ALA Fluorescent and Non-Fluorescent Gliomas

Mischkulnig, M., Kiesel, B., Lötsch, D., Roetzer-Pejrimovsky, T., Borkovec, M., Wadiura, L. I., Mercea, P. A., Jaklin, F. J., Hervey‐Jumper, S. L., Rössler, K., et al. (2020) · Cancers · doi:10.3390/cancers12082043 · Cited by 10

Strategies for activity analysis of single nucleotide polymorphisms associated with human diseases

Ren, N., Dai, S., Ma, S., & Yang, F. (2022) · Clinical Genetics · doi:10.1111/cge.14282 · Cited by 12

Genomic risk for post-traumatic stress disorder in families densely affected with alcohol use disorders

de Viteri, S. S., Zhang, J., Johnson, E. C., Barr, P. B., Edenberg, H. J., HESSELBROCK, V. M., Nürnberger, J. I., Pandey, A. K., Kamarajan, C., Kinreich, S., et al. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02117-9 · Cited by 10

An Updated Overview of Existing Cancer Databases and Identified Needs

Austin, B., Firooz, A., Valafar, H., & Blenda, A. V. (2023) · Biology · doi:10.3390/biology12081152 · Cited by 10

Robust Identification of Differential Gene Expression Patterns from Multiple Transcriptomics Datasets for Early Diagnosis, Prognosis, and Therapies for Breast Cancer

Tuly, K. F., Hossen, M. B., Islam, M. A., Kibria, M. K., Alam, M. S., Harun-Or-Roshid, M., Begum, A., Hasan, S., Mahumud, R. A., & Mollah, M. N. H. (2023) · Medicina · doi:10.3390/medicina59101705 · Cited by 10

Endogenous ether lipids differentially promote tumor aggressiveness by regulating the SK3 channel

Papin, M., Fontaine, D., Goupille, C., Figiel, S., Domingo, I., Pinault, M., Guimaraes, C., Guyon, N., Cartron, P., Emond, P., et al. (2024) · Journal of Lipid Research · doi:10.1016/j.jlr.2024.100544 · Cited by 10

Deep Sequencing of 71 Candidate Genes to Characterize Variation Associated with Alcohol Dependence

Clark, S. L., McClay, J. L., Adkins, D. E., Kumar, G., Åberg, K. A., Nerella, S., Xie, L., Collins, A. L., Crowley, J. J., Quackenbush, C. R., et al. (2017) · Alcoholism Clinical and Experimental Research · doi:10.1111/acer.13352 · Cited by 10

RNA variant identification discrepancy among splice-aware alignment algorithms

Hong, J. H., Ko, Y. H., & Kang, K. (2018) · PLoS ONE · doi:10.1371/journal.pone.0201822 · Cited by 10

Extracting allelic read counts from 250,000 human sequencing runs in Sequence Read Archive

Tsui, B., Dow, M. T., Skola, D., & Carter, H. K. (2018) · Pacific Symposium on Biocomputing (PSB) · doi:10.1142/9789813279827_0018 · Cited by 10

LukS-PV Induces Apoptosis via the SET8-H4K20me1-PIK3CB Axis in Human Acute Myeloid Leukemia Cells

Xu, L., Shi, L., Zhang, S. S., Ding, P. S., Ma, F., Song, K. D., Qiang, P., Chang, W., Dai, Y. Y., Mei, Y. D., et al. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.718791 · Cited by 10

Family with sequence similarity 83, member�B is a predictor of poor prognosis and a potential therapeutic target for lung adenocarcinoma expressing wild‑type epidermal growth factor receptor

Yamaura, T., Ezaki, J., Okabe, N., Takagi, H., Ozaki, Y., Inoue, T., Watanabe, Y., Fukuhara, M., Muto, S., Matsumura, Y., et al. (2017) · Oncology Letters · doi:10.3892/ol.2017.7517 · Cited by 10

Identification of hub genes associated with outcome of clear cell renal cell carcinoma

Li, R., Wang, L., Wang, X., Geng, R., Li, N., & Liu, X. (2020) · Oncology Letters · doi:10.3892/ol.2020.11389 · Cited by 10

Multiomics reveal key inflammatory drivers of severe obesity: IL4R, LILRA5, and OSM

Chen, H., Highland, H. M., Frankel, E. G., Scartozzi, A., Zhang, X., Roshani, R., Sharma, P., Kar, A., Buchanan, V. L., Polikowsky, H. G., et al. (2025) · Cell Genomics · doi:10.1016/j.xgen.2025.100784 · Cited by 10

Identification of Post-translationally Modified MHC Class I–Associated Peptides as Potential Cancer Immunotherapeutic Targets

Mahoney, K. E., Reser, L., Ruiz Cuevas, M. V., Abelin, J. G., Shabanowitz, J., Hunt, D. F., & Malaker, S. A. (2025) · Molecular & Cellular Proteomics · doi:10.1016/j.mcpro.2025.100971 · Cited by 9

nc‐RNA‐mediated high expression of CDK6 correlates with poor prognosis and immune infiltration in pancreatic cancer

Zhao, Y., Xu, B., Wang, F., Jiang, F., Xu, J., & Yu, D. (2022) · Cancer Medicine · doi:10.1002/cam4.5260 · Cited by 9

Genome- and Transcriptome-Wide Association Studies Identify Susceptibility Genes and Pathways for Periodontitis

Zhu, G., Cui, X., Fan, L., Pan, Y., & Wang, L. (2022) · Cells · doi:10.3390/cells12010070 · Cited by 9

Down‐regulation and clinical significance of Sorbin and SH3 domain‐containing protein 1 in bladder cancer tissues

Li, S., Zhai, G., He, R., Chen, G., Wang, S., Liu, J., Cheng, J., Yan, H.-B., & Huang, Z. (2023) · IET Systems Biology · doi:10.1049/syb2.12060 · Cited by 9

MRPS6 modulates glucose-stimulated insulin secretion in mouse islet cells through mitochondrial unfolded protein response

Lin, D., Yu, J., Lin, L., Ou, Q., & Quan, H. (2023) · Scientific Reports · doi:10.1038/s41598-023-43438-7 · Cited by 10

A Machine Learning Method for Predicting Biomarkers Associated with Prostate Cancer

Tong, Y., Tan, Z., Wang, P., & Xi, G. (2023) · Frontiers in Bioscience-Landmark · doi:10.31083/j.fbl2812333 · Cited by 9

Drug targets for haemorrhoidal disease: proteome-wide Mendelian randomisation and colocalisation analyses

Li, S., & Gong, M. (2024) · Gut · doi:10.1136/gutjnl-2023-330967 · Cited by 9

Identifying and characterizing lincRNA genomic clusters reveals its cooperative functions in human cancer

Zhou, H., Gao, Y., Li, X., Shang, S., Wang, P., Zhi, H., Guo, S., Sun, D., Liu, H., Li, X., et al. (2021) · Journal of Translational Medicine · doi:10.1186/s12967-021-03179-5 · Cited by 9

Role of TNFSF15 variants in oral cancer development and clinicopathologic characteristics

Lu, H., Chuang, C., Su, C., Chen, M., Yang, W., Yeh, C., Tang, C., Lin, C., & Yang, S. (2022) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.17569 · Cited by 9

Common variants of NRXN1, LRP1B and RORA are associated with increased ventricular volumes in psychosis - GWAS findings from the B-SNIP deep phenotyping studyPreprint

Alliey‐Rodriguez, N., Grey, T. A., Shafee, R., Padmanabhan, J. L., Tandon, N., Klinger, M., Spring, J., Coppes, L., Reis, K. S., Keshavan, M. S., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/175489 · Cited by 9

Cross-disorder GWAS meta-analysis for Attention Deficit/Hyperactivity Disorder, Autism Spectrum Disorder, Obsessive Compulsive Disorder, and Tourette SyndromePreprint

Yang, Z., Wu, H., Lee, P. H., Tsetsos, F., Davis, L. K., Yu, D., Lee, S., Dalsgaard, S., Haavik, J., Barta, C., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/770222 · Cited by 9

Deep sequencing of 1320 genes reveals the landscape of protein-truncating variants and their contribution to psoriasis in 19,973 Chinese individualsPreprint

Xu, H., Zhen, Q., Bai, M., Fang, L., Zhang, Y., Bao, L., Ge, H., Moon, S., Chen, W., Fu, W., et al. (2021) · Genome Research · doi:10.1101/gr.267963.120 · Cited by 9

Recurrent Independent Pseudogenization Events of the Sperm Fertilization Gene ZP3r in Apes and Monkeys

Carlisle, J. A., Gurbuz, D. H., & Swanson, W. J. (2024) · Journal of Molecular Evolution · doi:10.1007/s00239-024-10192-x · Cited by 8

Single-cell transcriptomic profiling reveals cell type heterogeneity between HFpEF and HFrEF

Xiao, X., Wu, W., Mao, Q., Li, B., Wang, J., Liu, S., Zhao, H., Long, E., & Wang, J. (2025) · Communications Biology · doi:10.1038/s42003-025-08827-w · Cited by 8

TRmir: A Comprehensive Resource for Human Transcriptional Regulatory Information of MiRNAs

Gao, Y., Feng, C., Zhang, Y., Song, C., Chen, J., Li, Y., Wei, L., Qian, F., Ai, B., Liu, Y., et al. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.808950 · Cited by 6

The expression characteristics of transmembrane protein genes in pancreatic ductal adenocarcinoma through comprehensive analysis of bulk and single-cell RNA sequence

Ye, C., Ren, S., Sadula, A., Guo, X., Meng, Y., Meng, M., Li, G., Zhang, X., & Yuan, C. (2023) · Frontiers in Oncology · doi:10.3389/fonc.2023.1047377 · Cited by 8

Identification of an endoplasmic reticulum stress-related prognostic risk model with excellent prognostic and clinical value in oral squamous cell carcinoma

Cheng, M., Fan, X., He, M., Dai, X., Liu, X., Jinming, H., Zhang, L., & Liao, L. (2023) · Aging · doi:10.18632/aging.204983 · Cited by 8

Analysis of glutathione Stransferase mu class 5 gene methylation as a prognostic indicator in low-grade gliomas

Wu, C., Li, Y., Luo, Y., Dai, Y., Qin, J., Liu, N., Xu, R., Li, X., & Zhang, P. (2024) · Technology and Health Care · doi:10.3233/thc-231316 · Cited by 7

Association betweenAXLpromoter methylation and lung function growth during adolescence

Gao, L., Urman, R., Millstein, J., Siegmund, K. D., Dubeau, L., & Breton, C. V. (2018) · Epigenetics · doi:10.1080/15592294.2018.1529517 · Cited by 9

Impact of Cognitive Load on Family Decision Makers’ Recall and Understanding of Donation Requests for the Genotype-Tissue Expression (GTEx) Project

Siminoff, L. A., Wilson-Genderson, M., Mosavel, M., Barker, L. K., Trgina, J., Traino, H. M., Nathan, H. M., Hasz, R. D., & Walters, G. D. (2018) · The Journal of Clinical Ethics · doi:10.1086/jce2018291020 · Cited by 8

High expression and potential synergy of human epididymis protein 4 and Annexin A8 promote progression and predict poor prognosis in epithelial ovarian cancer.

Zhu, L., Gou, R., Guo, Q., Wang, J., Liu, Q., & Lin, B. (2020) · PubMed Central · Cited by 8

A Bioinformatic Analysis: The Overexpression and Prognostic Potential of GPX7 in Lower-Grade Glioma

Zhao, Q., Yang, Y., Zhang, L., Wang, Y., Wang, T., Sun, Y., Cao, J., Qi, M., Du, X., Xia, Z., et al. (2022) · International Journal of General Medicine · doi:10.2147/ijgm.s356850 · Cited by 9

Twelve Loci Associated With Bone Density in Middle-aged and Elderly Chinese: The Shanghai Changfeng Study

Zeng, H., Ge, J., Xu, W., Ma, H., Chen, L., Xia, M., Pan, B., Lin, H., Wang, S., & Gao, X. (2022) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgac597 · Cited by 8

NCEH1 may be a prognostic biomarker for pancreatic cancer.

Lu, Y., Zhang, L., Chen, X., & Zhang, Q. (2020) · PubMed Central · Cited by 8

Onkopus: precise interpretation and prioritization of sequence variants for biomedical research and precision medicine

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