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

A PDCD1 Role in the Genetic Predisposition to NAFLD-HCC?

Eldafashi, N., Darlay, R., Shukla, R., McCain, M. V., Watson, R., Liu, Y. L., McStraw, N. M., Fathy, M., Fawzy, M. A., Zaki, M. Y. W., et al. (2021) · Cancers · doi:10.3390/cancers13061412 · Cited by 37

Human genetics uncovers MAP3K15 as an obesity-independent therapeutic target for diabetes

Nag, A., Dhindsa, R. S., Mitchell, J., Vasavda, C., Harper, A. R., Vitsios, D., Ahnmark, A., Bilican, B., Madeyski-Bengtson, K., Zarrouki, B., et al. (2022) · Science Advances · doi:10.1126/sciadv.add5430 · Cited by 36

Detection and location of the enzymes of de novo pyrimidine biosynthesis in mammalian spermatozoa

Carrey, E. A., Dietz, C., Glubb, D. M., Löffler, M., Lucocq, J. M., & Watson, P. F. (2002) · Reproduction · doi:10.1530/rep.0.1230757 · Cited by 35

Systemic analysis of tissue cells potentially vulnerable to SARS-CoV-2 infection by the protein-proofed single-cell RNA profiling of ACE2, TMPRSS2 and Furin proteasesPreprint

Zhou, L., Niu, Z., Jiang, X., Zhang, Z., Zheng, Y. Y., Wang, Z., Zhu, Y., Gao, L., Huang, H., Wang, X., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.04.06.028522 · Cited by 35

PseudoFuN: Deriving functional potentials of pseudogenes from integrative relationships with genes and microRNAs across 32 cancers

Johnson, T. S., Li, S., Franz, E., Huang, Z., Li, S. D., Campbell, M. J., Huang, K., & Zhang, Y. (2019) · GigaScience · doi:10.1093/gigascience/giz046 · Cited by 34

A genome-wide association study of interhemispheric theta EEG coherence: implications for neural connectivity and alcohol use behavior

Meyers, J. L., Zhang, J., Chorlian, D. B., Pandey, A. K., Kamarajan, C., Wang, J., Wetherill, L. F., Lai, D., Chao, M. J., Chan, G., et al. (2020) · Molecular Psychiatry · doi:10.1038/s41380-020-0777-6 · Cited by 35

A Quantitative Proteome Map of the Human BodyPreprint

Jiang, L., Wang, M., Lin, S., Jian, R., Li, X., Chan, J., Fang, H., Dong, G., Tang, H., & Snyder, M. P. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/797373 · Cited by 35

Computational Methods for Mapping, Assembly and Quantification for Coding and Non-coding Transcripts

Babarinde, I. A., Li, Y., & Hutchins, A. P. (2019) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2019.04.012 · Cited by 30

ASF1B Promotes Oncogenesis in Lung Adenocarcinoma and Other Cancer Types

Zhang, W., Gao, Z., Guan, M., Liu, N., Meng, F., & Wang, G. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.731547 · Cited by 34

Most cancers carry a substantial deleterious load due to Hill-Robertson interference

Tilk, S., Tkachenko, S., Curtis, C. N., Petrov, D. A., & McFarland, C. D. (2022) · eLife · doi:10.7554/elife.67790 · Cited by 37

Comprehensive Identification and Characterization of Human Secretome Based on Integrative Proteomic and Transcriptomic Data

Chen, G., Chen, J., Liu, H., Chen, S., Zhang, Y., Li, P., Thierry‐Mieg, D., Thierry‐Mieg, J., Mattes, W. B., Ning, B., et al. (2019) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2019.00299 · Cited by 30

HMPDACC: a Human Microbiome Project Multi-omic data resource

Huot, H., Felix, V., Aluvathingal, J., Crabtree, J., Ifeonu, O. O., Matsumura, J., McCracken, C. L., Nickel, L., Orvis, J., Schor, M., et al. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkaa996 · Cited by 33

DNA repair pathway activation features in follicular and papillary thyroid tumors, interrogated using 95 experimental RNA sequencing profiles

Vladimirova, U., Rumyantsev, P. O., Zolotovskaia, M., Albert, E. A., Abrosimov, A., Slashchuk, K. Y., Алексеевич, Н. П., Chukhacheva, O. S., Гайфуллин, Н., Suntsova, M., et al. (2021) · Heliyon · doi:10.1016/j.heliyon.2021.e06408 · Cited by 34

A review on the role of epidermal growth factor signaling in the development, progression and treatment of cervical cancer

Muthusami, S., Sabanayagam, R., Periyasamy, L., Bharathi, M., & Park, W. (2021) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2021.11.117 · Cited by 31

Clotting factor genes are associated with preeclampsia in high-altitude pregnant women in the Peruvian Andes

Nieves-Colón, M. A., Rivera, K. M. B., Sandoval, K., Dávalos, V. V., Lencinas, L. E. E., Mendoza‐Revilla, J., Adhikari, K., González-Buenfil, R., Chen, J. W., Zhang, E., et al. (2022) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2022.04.014 · Cited by 29

Unravelling the GSK3β-related genotypic interaction network influencing hippocampal volume in recurrent major depressive disorder

Inkster, B., Simmons, A., Cole, J. H., Schoof, E. M., Linding, R., Nichols, T., Muglia, P., Holsboer, F., Sämann, P. G., McGuffin, P., et al. (2018) · Psychiatric Genetics · doi:10.1097/ypg.0000000000000203 · Cited by 29

A Simple Guideline to Assess the Characteristics of RNA-Seq Data

Son, K. H., Yu, S., Shin, W., Han, K., & Kang, K. (2018) · BioMed Research International · doi:10.1155/2018/2906292 · Cited by 29

Expression profiling of WD40 family genes including DDB1- and CUL4- associated factor (DCAF) genes in mice and human suggests important regulatory roles in testicular development and spermatogenesis

Mistry, B. V., Alanazi, M., Fitwi, H., Al‐Harazi, O., Rajab, M., Altorbag, A., Almohanna, F., Çolak, D., & Assiri, A. M. (2020) · BMC Genomics · doi:10.1186/s12864-020-07016-9 · Cited by 29

Dissecting Prognosis Modules and Biomarkers in Glioblastoma Based on Weighted Gene Co-Expression Network Analysis

Cao, F., Fan, Y., Yu, Y., Yang, G., & Zhong, H. (2021) · Cancer Management and Research · doi:10.2147/cmar.s310346 · Cited by 29

Genetic and transcriptomic analyses support a switch to lytic phase in Epstein Barr virus infection as an important driver in developing Systemic Lupus Erythematosus

Afrasiabi, A., Keane, J. T., Ong, L. T. C., Alinejad‐Rokny, H., Fewings, N., Booth, D. R., Parnell, G. P., & Swaminathan, S. (2021) · Journal of Autoimmunity · doi:10.1016/j.jaut.2021.102781 · Cited by 29

Gut microbiota and tuberculosis

Liu, Y., Yang, L., Meskini, M., Goel, A., Opperman, M., Shyamal, S. S., Manaithiya, A., Xiao, M., Ni, R., An, Y., et al. (2025) · iMeta · doi:10.1002/imt2.70054 · Cited by 36

A pan-cancer assessment of alterations of the kinase domain of ULK1, an upstream regulator of autophagy

Kumar, M., & Papaleo, E. (2020) · Scientific Reports · doi:10.1038/s41598-020-71527-4 · Cited by 26

Self-supervised learning for characterising histomorphological diversity and spatial RNA expression prediction across 23 human tissue types

Cisternino, F., Ometto, S., Chatterjee, S., Giacopuzzi, E., Levine, A. P., & Glastonbury, C. A. (2024) · Nature Communications · doi:10.1038/s41467-024-50317-w · Cited by 27

Tissue-specific expression of p73 and p63 isoforms in human tissues

Marshall, C. B., Beeler, J. S., Lehmann, B. D., Ericsson, P. I. G., Sanchez, V. M., Sanders, M. E., Boyd, K. L., & Pietenpol, J. A. (2021) · Cell Death and Disease · doi:10.1038/s41419-021-04017-8 · Cited by 27

PAGER 2.0: an update to the pathway, annotated-list and gene-signature electronic repository for Human Network Biology

Yue, Z., Zheng, Q., Neylon, M. T., Yoo, M., Shin, J., Zhao, Z., Tan, A. C., & Chen, J. Y. (2018) · Nucleic Acids Research · doi:10.1093/nar/gkx1040 · Cited by 27

Neurofascin (NFASC) gene mutation causes autosomal recessive ataxia with demyelinating neuropathy

Monfrini, E., Straniero, L., Bonato, S., Compagnoni, G. M., Bordoni, A., Dilena, R., Rinchetti, P., Silipigni, R., Ronchi, D., Corti, S. P., et al. (2019) · Parkinsonism & Related Disorders · doi:10.1016/j.parkreldis.2019.02.045 · Cited by 27

Adipocyte-Specific Hnrnpa1 Knockout Aggravates Obesity-Induced Metabolic Dysfunction via Upregulation of CCL2

Li, X., Su, Y., Xu, Y., Hu, T., Lu, X., Sun, J., Li, W., Zhou, J., Ma, X., Yang, Y., et al. (2024) · Diabetes · doi:10.2337/db23-0609 · Cited by 27

Single‐cell RNA sequencing identify SDCBP in ACE2‐positive bronchial epithelial cells negatively correlates with COVID‐19 severity

Ma, D., Liu, S., Hu, L., He, Q., Shi, W., Yan, D., Cao, Y., Zhang, G., Wang, Z., Wu, J., et al. (2021) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.16714 · Cited by 25

The multiple myeloma risk allele at 5q15 lowers ELL2 expression and increases ribosomal gene expression

Ali, M., Ajore, R., Wihlborg, A.-K., Niroula, A., Swaminathan, B., Johnsson, E., Stephens, O., Morgan, G. J., Meißner, T., Turesson, I., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-04082-2 · Cited by 26

TRlnc: a comprehensive database for human transcriptional regulatory information of lncRNAs

Li, Y., Li, X., Yang, Y., Li, M., Qian, F., Tang, Z., Zhao, J., Zhang, J., Bai, X., Jiang, Y., et al. (2020) · Briefings in Bioinformatics · doi:10.1093/bib/bbaa011 · Cited by 25

Secretome profiling identifies neuron-derived neurotrophic factor as a tumor-suppressive factor in lung cancer

Zhang, Y., Wu, X., Yan, K., Lee, C.-H., Cheng, F., Li, Y., Zhuang, Y., Ghaemmaghami, J., Chuang, K., Liu, Z., et al. (2019) · JCI Insight · doi:10.1172/jci.insight.129344 · Cited by 24

Unique Allelic eQTL Clusters in Human MHC Haplotypes

Lam, T. H., Shen, M., Tay, M. Z., & Ren, E. C. (2017) · G3 Genes Genomes Genetics · doi:10.1534/g3.117.043828 · Cited by 25

Specific splice junction detection in single cells with SICILIAN

Dehghannasiri, R., Olivieri, J. E., Damljanovic, A., & Salzman, J. (2021) · Genome biology · doi:10.1186/s13059-021-02434-8 · Cited by 25

New role of fat-free mass in cancer risk linked with genetic predisposition

Harris, B. H. L., Di Giovannantonio, M., Zhang, P., Harris, D. A., Lord, S. R., Allen, N. E., Maughan, T. S., Bryant, R. J., Harris, A. L., Bond, G. L., et al. (2024) · Scientific Reports · doi:10.1038/s41598-024-54291-7 · Cited by 24

Functional genetic variants in centrosome-related genes CEP72 and YWHAG confer susceptibility to gastric cancer

Ni, J., Wang, J., Fu, Y. S., Yan, C., Zhu, M., Jiang, Y., Chen, J., Ding, Y., Fan, X., Li, G., et al. (2020) · Archives of Toxicology · doi:10.1007/s00204-020-02782-7 · Cited by 24

Exploring Common Therapeutic Targets for Neurodegenerative Disorders Using Transcriptome Study

Dharshini, S. A. P., Jemimah, S., Taguchi, Y., & Gromiha, M. M. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.639160 · Cited by 24

Selective Organ‐Targeting Hafnium Oxide Nanoparticles with Multienzyme‐Mimetic Activities Attenuate Radiation‐Induced Tissue Damage

Liu, D., Cao, F., Xu, Z., Zhao, C., Liu, Z., Pang, J., Liu, Z., Moghiseh, M., Butler, A. P. H., Liang, S., et al. (2023) · Advanced Materials · doi:10.1002/adma.202308098 · Cited by 28

Epigenetic regulation of AXL and risk of childhood asthma symptoms

Gao, L., Millstein, J., Siegmund, K. D., Dubeau, L., Maguire, R. L., Gilliland, F. D., Murphy, S. K., Hoyo, C., & Breton, C. V. (2017) · Clinical Epigenetics · doi:10.1186/s13148-017-0421-8 · Cited by 25

Identification of genes with universally upregulated or downregulated expressions in colorectal cancer

Song, K., Su, W., Liu, Y., Zhang, J., Liang, Q., Li, N., Guan, Q., He, J., Bai, X., Zhao, W., et al. (2018) · Journal of Gastroenterology and Hepatology · doi:10.1111/jgh.14529 · Cited by 24

Neurofibromatosis Type 1 Implicates Ras Pathways in the Genetic Architecture of Neurodevelopmental Disorders

Kaczorowski, J. A., Smith, T. F., Shrewsbury, A. M., Thomas, L. R., Knopik, V. S., & Acosta, M. T. (2020) · Behavior Genetics · doi:10.1007/s10519-020-09991-x · Cited by 26

SEGreg: a database for human specifically expressed genes and their regulations in cancer and normal tissue

Tang, Q., Zhang, Q., Lv, Y., Miao, Y., & Guo, A. (2017) · Briefings in Bioinformatics · doi:10.1093/bib/bbx173 · Cited by 23

Common variants in SOX-2 and congenital cataract genes contribute to age-related nuclear cataract

Yonova‐Doing, E., Zhao, W., Igo, R. P., Wang, C., Sundaresan, P., Lee, K. E., Jun, G., Alves, A. C., Chai, X., Chan, A. S. Y., et al. (2020) · Communications Biology · doi:10.1038/s42003-020-01421-2 · Cited by 25

nf-LO: A Scalable, Containerized Workflow for Genome-to-Genome Lift Over

Talenti, A., & Prendergast, J. G. D. (2021) · Genome Biology and Evolution · doi:10.1093/gbe/evab183 · Cited by 23

Connecting Genomics and Proteomics to Identify Protein Biomarkers for Adult and Youth-Onset Type 2 Diabetes: A Two-Sample Mendelian Randomization Study

Ghanbari, F., Yazdanpanah, N., Yazdanpanah, M., Richards, J. B., & Manousaki, D. (2022) · Diabetes · doi:10.2337/db21-1046 · Cited by 23

Functional Urate-Associated Genetic Variants Influence Expression of lincRNAs LINC01229 and MAFTRR

Leask, M., Dowdle, A., Salvesen, H. A., Topless, R., Fadason, T., Wei, W., Schierding, W. S., Marsman, J., Antony, J., O'Sullivan, J. M., et al. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2018.00733 · Cited by 23

TFAP2C Knockdown Sensitizes Bladder Cancer Cells to Cisplatin Treatment via Regulation of EGFR and NF-κB

Ji, X., Wu, C., Chen, K., Zhu, S., Lin, F., Qi, Y., Zhang, Y., Han, S., Rao, T., Ruan, Y., et al. (2022) · Cancers · doi:10.3390/cancers14194809 · Cited by 22

Genome‐Wide Study of Subcutaneous and Visceral Adipose Tissue Reveals Novel Sex‐Specific Adiposity Loci in Mexican Americans

Gao, C., Langefeld, C. D., Ziegler, J. T., Taylor, K. D., Norris, J. M., Chen, Y. I., Hellwege, J. N., Guo, X., Allison, M., Speliotes, E. K., et al. (2017) · Obesity · doi:10.1002/oby.22074 · Cited by 22

Selecting variants of unknown significance through network-based gene-association significantly improves risk prediction for disease-control cohorts

Oulas, A., Minadakis, G., Zachariou, M., & Spyrou, G. M. (2019) · Scientific Reports · doi:10.1038/s41598-019-39796-w · Cited by 22

NR2F1 Regulates TGF-β1-Mediated Epithelial-Mesenchymal Transition Affecting Platinum Sensitivity and Immune Response in Ovarian Cancer

Liang, Q., Xu, Z., Liu, Y., Peng, B., Cai, Y., Liu, W., & Yan, Y. (2022) · Cancers · doi:10.3390/cancers14194639 · Cited by 21

eccDB: a comprehensive repository for eccDNA-mediated chromatin contacts in multi-species

Yang, M., Qiu, B., He, G., Zhou, J., Yu, H., Zhang, Y., Li, Y.-S., Li, T.-S., Guo, J., Li, X., et al. (2023) · Bioinformatics · doi:10.1093/bioinformatics/btad173 · Cited by 19

Transcriptome Profiling and Molecular Therapeutic Advances in Cystic Fibrosis: Recent Insights

Ideozu, J. E., Zhang, X., McColley, S. A., & Levy, H. (2019) · Genes · doi:10.3390/genes10030180 · Cited by 21

Expression of NGF/proNGF and Their Receptors TrkA, p75NTR and Sortilin in Melanoma

Marsland, M., Dowdell, A., Jiang, C. C., Wilmott, J. S., Scolyer, R. A., Zhang, X. D., Hondermarck, H., & Faulkner, S. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23084260 · Cited by 22

An Integrative Gene Expression and Mathematical Flux Balance Analysis Identifies Targetable Redox Vulnerabilities in Melanoma Cells

Paudel, B. B., Lewis, J. E., Hardeman, K. N., Hayford, C. E., Robbins, C. T., Stauffer, P. E., Codreanu, S. G., Sherrod, S. D., MCLEAN, J. A. J., Kemp, M. L., et al. (2020) · Cancer Research · doi:10.1158/0008-5472.can-19-3588 · Cited by 25

PathExt: a general framework for path-based mining of omics-integrated biological networks

Sambaturu, N., Pusadkar, V., Hannenhalli, S. S., & Chandra, N. R. (2020) · Bioinformatics · doi:10.1093/bioinformatics/btaa941 · Cited by 20

Navigating Multi-Scale Cancer Systems Biology Towards Model-Driven Clinical Oncology and Its Applications in Personalized Therapeutics

Gondal, M. N., & Chaudhary, S. U. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.712505 · Cited by 19

Pan-cancer analysis of the prognostic and immunological role of ANLN: An onco-immunological biomarker

Liu, K., Cui, L., Li, C., Tang, C., Niu, Y., Ji, H., Bu, Y., & Chen, B. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.922472 · Cited by 20

Genetic insights into juvenile idiopathic arthritis derived from deep whole genome sequencing

Wong, L.-P., Jiang, K., Chen, Y., & Jarvis, J. N. (2017) · Scientific Reports · doi:10.1038/s41598-017-02966-9 · Cited by 18

Putative second hit rare genetic variants in families with seemingly GBA-associated Parkinson’s disease

Aslam, M., Kandasamy, N., Ullah, A., Paramasivam, N., Öztürk, M. A., Naureen, S., Arshad, A., Badshah, M., Khan, K., Wajid, M., et al. (2021) · npj Genomic Medicine · doi:10.1038/s41525-020-00163-8 · Cited by 20

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

Weiner, A. K., Radaoui, A. B., Tsang, M., Martínez, D., Conkrite, K. L., Patel, K., Sidoli, S., Delaidelli, A., Modi, A., Rokita, J. L., et al. (2024) · Cancer Cell · doi:10.1016/j.ccell.2024.10.003 · Cited by 27

Resolving trained immunity with systems biology

Koeken, V. A. C. M., van Crevel, R., Netea, M. G., & Li, Y. (2021) · European Journal of Immunology · doi:10.1002/eji.202048882 · Cited by 19

Lupus Susceptibility Region Containing CDKN1B rs34330 Mechanistically Influences Expression and Function of Multiple Target Genes, Also Linked to Proliferation and Apoptosis

Singh, B., Maiti, G. P., Zhou, X., Fazel‐Najafabadi, M., Bae, S., Sun, C., Terao, C., Okada, Y., Chua, K. H., Kochi, Y., et al. (2021) · Arthritis & Rheumatology · doi:10.1002/art.41799 · Cited by 20

An m5C methylation regulator-associated signature predicts prognosis and therapy response in pancreatic cancer

Yun, D., Yang, Z., Zhang, S., Yang, H., Liu, D., Grützmann, R., Pilarsky, C. P., & Britzen‐Laurent, N. (2022) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2022.975684 · Cited by 19

Sickening or Healing the Heart? The Association of Ficolin-1 and Rheumatic Fever

Catarino, S. J., Andrade, F. A., Boldt, A. B. W., Guilherme, L., & Messias-Reason, I. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.03009 · Cited by 19

A novel risk signature that combines 10 long noncoding RNAs to predict neuroblastoma prognosis

Gao, L., Lin, P., Chen, P., Gao, R., Yang, H., He, Y., Chen, J., Luo, Y., Xu, Q.-Q., Liang, S., et al. (2019) · Journal of Cellular Physiology · doi:10.1002/jcp.29277 · Cited by 19

The Causal Relationship of Circulating Triglyceride and Glycated Hemoglobin: A Mendelian Randomization Study

Hsiung, C., Chang, Y., Lin, C.-W., Chang, C.-W., Chou, W., Chu, H., Su, M., Wu, P., & Shen, C. (2019) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgz243 · Cited by 19

Multiomics Analyses Identify Genes and Pathways Relevant to Essential Tremor

Liao, C., Sarayloo, F., Rochefort, D. L., Houle, G., Akçimen, F., He, Q., Laporte, A. D., Spiegelman, D., Poewe, W. H., Berg, D., et al. (2020) · Movement Disorders · doi:10.1002/mds.28031 · Cited by 19

YTHDF1 rs6090311 A>G polymorphism reduces Hepatoblastoma risk: Evidence from a seven-center case-control study

Zhendong, L., Li, G., Wang, M., Zhu, J., Yang, Z., Li, Y., Zhang, J., Xin, Y., Li, S., Li, L., et al. (2020) · Journal of Cancer · doi:10.7150/jca.46120 · Cited by 19

Identification of Gene Signatures for Diagnosis and Prognosis of Hepatocellular Carcinomas Patients at Early Stage

Gan, X., Luo, Y., Dai, G., Lin, J., Liu, X., Zhang, X., & Li, A. (2020) · Frontiers in Genetics · doi:10.3389/fgene.2020.00857 · Cited by 19

Genome-wide association study identifies novel susceptibility loci for KIT D816V positive mastocytosis

Galatà, G., García‐Montero, A. C., Kristensen, T. K., Dawoud, A. A. Z., Muñoz‐González, J. I., Meggendorfer, M., Guglielmelli, P., Hoade, Y., Álvarez‐Twöse, I., Gieger, C., et al. (2021) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2020.12.007 · Cited by 20

Which ones, when and why should renin-angiotensin system inhibitors work against COVID-19?

Montanari, M., Canonico, B., Nordi, E., Vandini, D., Barocci, S., Benedetti, S., Carlotti, E., & Zamai, L. (2021) · Advances in Biological Regulation · doi:10.1016/j.jbior.2021.100820 · Cited by 19

3′ RNA and whole‐genome sequencing of archival uterine leiomyomas reveal a tumor subtype with chromosomal rearrangements affecting either HMGA2, HMGA1, or PLAG1

Jokinen, V., Mehine, M. M., Reinikka, S., Khamaiseh, S., Ahvenainen, T., Äyräväinen, A., Härkki, P., Bützow, R. C., Pasanen, A. M., & Vahteristo, P. (2022) · Genes Chromosomes and Cancer · doi:10.1002/gcc.23088 · Cited by 17

Adaptive Immunity in Genitourinary Cancers

Koti, M., Bivalacqua, T. J., Black, P. C., Cathomen, T., Galsky, M. D., Gulley, J. L., Ingersoll, M. A., Kamat, A. M., Kassouf, W., Siemens, D. R., et al. (2023) · European Urology Oncology · doi:10.1016/j.euo.2023.03.002 · Cited by 18

Genetic susceptibility of common polymorphisms in NIN and SIGLEC5 to chronic periodontitis

Tong, H., Wei, Z., Yin, J., Zhang, B., Zhang, T., Deng, C., Huang, Y., & Zhang, N. (2019) · Scientific Reports · doi:10.1038/s41598-019-38632-5 · Cited by 18

Analysis of brain region-specific co-expression networks reveals clustering of established and novel genes associated with Alzheimer disease

Lancour, D., Dupuis, J., Mayeux, R. P., Haines, J. L., Pericak‐Vance, M. A., Schellenberg, G. D., Crovella, M. E., Farrer, L. A., & Kasif, S. (2020) · Alzheimer s Research & Therapy · doi:10.1186/s13195-020-00674-7 · Cited by 17

Identifying novel genetic variants for brain amyloid deposition: a genome-wide association study in the Korean population

Kim, H.-R., Jung, S.-H., Kim, J., Kang, S. H., Kang, S. H., Hwangbo, S., Kim, J. P., Kim, B., Kim, S., Kim, S., et al. (2021) · Alzheimer s Research & Therapy · doi:10.1186/s13195-021-00854-z · Cited by 18

An integrative approach to detect epigenetic mechanisms that putatively mediate the influence of lifestyle exposures on disease susceptibility

Richardson, T. G., Richmond, R. C., North, T.-L., Hemani, G., Smith, G. D., Sharp, G. C., & Relton, C. L. (2019) · International Journal of Epidemiology · doi:10.1093/ije/dyz119 · Cited by 16

Integrative Analysis of LGR5/6 Gene Variants, Gut Microbiota Composition and Osteoporosis Risk in Elderly Population

Di, D., Li, C., Dai, Y., Wei, M., Wang, S., Song, W., Zhou, H., Cui, Y., Zhang, R., Huang, Q., et al. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.765008 · Cited by 17

Comprehensive Analysis of the Potential Immune-Related Biomarker Transporter Associated With Antigen Processing 1 That Inhibits Metastasis and Invasion of Ovarian Cancer Cells

Li, X., Zeng, S., Ding, Y., Nie, Y., & Yang, M. (2021) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2021.763958 · Cited by 17

Systematic review of gastric cancer-associated genetic variants, gene-based meta-analysis, and gene-level functional analysis to identify candidate genes for drug development

Lee, S., Yang, H., Lee, H.-J., Park, D. J., Kong, S., & Park, S. K. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.928783 · Cited by 17

SLOAD: a comprehensive database of cancer-specific synthetic lethal interactions for precision cancer therapy via multi-omics analysis

Guo, L., Dou, Y., Xia, D., Yin, Z., Xiang, Y., Luo, L., Zhang, Y., Wang, J., & Liang, T. (2022) · Database · doi:10.1093/database/baac075 · Cited by 17

mARC1 in MASLD: Modulation of lipid accumulation in human hepatocytes and adipocytes

Jones, A. K., Bajrami, B., Campbell, M. K., Erzurumluoglu, A. M., Guo, Q., Chen, H., Zhang, X., Zeveleva, S., Kvaskoff, D., Brunner, A., et al. (2024) · Hepatology Communications · doi:10.1097/hc9.0000000000000365 · Cited by 18

Immunosenescence Inventory—a multi-omics database for immune aging research

Li, H., Zhao, W., Yang, F., Qiao, Q., Ma, S., Yang, K., Song, S., Wang, S., Qu, J. T., Liu, G., et al. (2024) · Nucleic Acids Research · doi:10.1093/nar/gkae1102 · Cited by 18

Cold Ischemia Score: An mRNA Assay for the Detection of Extended Cold Ischemia in Formalin-Fixed, Paraffin-Embedded Tissue

Mathieson, W., Mommaerts, K., Trouet, J., Mathay, C., Guan, P., Carithers, L. J., Rohrer, D. C., Valley, D. R., Blanski, A. A., Jewell, S. D., et al. (2018) · Journal of Histochemistry & Cytochemistry · doi:10.1369/0022155418819967 · Cited by 17

Sex-specific differences in endoplasmic reticulum aminopeptidase 1 modulation influence blood pressure and renin-angiotensin system responses

Ranjit, S., Wong, J. Y., Tan, J. W., Tay, C. S., Lee, J. M., Wong, K. Y. H., Pojoga, L. H., Brooks, D. L. P., Garza, A., Maris, S. A., et al. (2019) · JCI Insight · doi:10.1172/jci.insight.129615 · Cited by 16

Identification of an mRNA isoform switch for HNRNPA1 in breast cancers

Erdem, M., Ozgul, İ., Dioken, D. N., Gurcuoglu, I., Ergün, S. G., Çetin-Atalay, R., Can, T., & Erson-Bensan, A. E. (2021) · Scientific Reports · doi:10.1038/s41598-021-04007-y · Cited by 17

An integrative pan cancer analysis of RET aberrations and their potential clinical implications

Zhou, L., Li, J., Zhang, X., Xu, Z., Yan, Y., & Hu, K. (2022) · Scientific Reports · doi:10.1038/s41598-022-17791-y · Cited by 17

Genome-Wide Association Study of Metamizole-Induced Agranulocytosis in European Populations

Cismaru, A. L., Rudin, D., Ibáñez, L., Liakoni, E., Bonadies, N., Kreutz, R. H., Carvajal, A., Lucena, M. I., Martin, J. J., Ponce, E. S., et al. (2020) · Genes · doi:10.3390/genes11111275 · Cited by 21

Insights of fibroblast growth factor receptor 3 aberrations in pan-cancer and their roles in potential clinical treatment

Li, J., Hu, K., Huang, J., Zhou, L., Yan, Y., & Xu, Z. (2021) · Aging · doi:10.18632/aging.203175 · Cited by 16

METTL14 gene polymorphisms decrease Wilms tumor susceptibility in Chinese children

Zhuo, Z., Hua, R., Zhang, H., Lin, H., Fu, W., Zhu, J., Cheng, J., Zhang, J., Li, S., Zhou, H., et al. (2021) · BMC Cancer · doi:10.1186/s12885-021-09019-5 · Cited by 16

Network analysis of mitonuclear GWAS reveals functional networks and tissue expression profiles of disease-associated genes

Johnson, S. C., González, B., Zhang, Q., Milholland, B., Zhang, Z., & Suh, Y. (2016) · Human Genetics · doi:10.1007/s00439-016-1736-9 · Cited by 16

Mendelian Randomization Analysis Identified Potential Genes Pleiotropically Associated with Polycystic Ovary Syndrome

Sun, Q., Gao, Y. J., Yang, J., Lu, J., Feng, W., & Wen, Y. (2021) · Reproductive Sciences · doi:10.1007/s43032-021-00776-z · Cited by 15

Determinants of gene expression in the human liver: Impact of aging and sex on xenobiotic metabolism

Corton, J. C., Lee, J. S., Liu, J., Ren, H., Vallanat, B., & DeVito, M. J. (2022) · Experimental Gerontology · doi:10.1016/j.exger.2022.111976 · Cited by 15

Bioinformatics Analysis Revealed Novel 3′UTR Variants Associated with Intellectual Disability

Yang, J., Liu, A., He, I., & Bai, Y. (2020) · Genes · doi:10.3390/genes11090998 · Cited by 15

Ginsenoside Rg3, a promising agent for NSCLC patients in the pandemic: a large-scale data mining and systemic biological analysis

Zhuang, Z., Chen, Q., Zhong, X., Chen, H., Yu, R., & Tang, Y. (2022) · Journal of Ginseng Research · doi:10.1016/j.jgr.2022.09.006 · Cited by 15

Identification and Validation of Human Missing Proteins and Peptides in Public Proteome Databases: Data Mining Strategy

Elguoshy, A., Hirao, Y., Xu, B., Saito, S., Quadery, A. F., Yamamoto, K., Mitsui, T., Yamamoto, T., & Chromosome X Project Team of JProS (2017) · Journal of Proteome Research · doi:10.1021/acs.jproteome.7b00423 · Cited by 14

An accurate prediction model of digenic interaction for estimating pathogenic gene pairs of human diseases

Yuan, Y., Zhang, L., Long, Q., Jiang, H., & Li, M. (2022) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2022.07.011 · Cited by 14

The Membrane Protein Sortilin Is a Potential Biomarker and Target for Glioblastoma

Marsland, M., Dowdell, A., Faulkner, S., Gedye, C. A., Lynam, J. F., Griffin, C. P., Marsland, J., Jiang, C. C., & Hondermarck, H. (2023) · Cancers · doi:10.3390/cancers15092514 · Cited by 14

Neuroprotective Potential of Tannic Acid Against Neurotoxic Outputs of Monosodium Glutamate in Rat Cerebral Cortex

Karağaç, M. S., & Ceylan, H. (2023) · Neurotoxicity Research · doi:10.1007/s12640-023-00667-y · Cited by 15

PharmVar GeneFocus : CYP4F2

Zubiaur, P., Rodríguez‐Antona, C., Boone, E. C., Daly, A. K., Tsermpini, E. E., Khasawneh, L. Q., Sangkuhl, K., Duconge-Soler, J., Botton, M. R., Savieo, J., et al. (2024) · Clinical Pharmacology & Therapeutics · doi:10.1002/cpt.3405 · Cited by 14

From Form to Function: The GTEx Project Sheds New Light on the Links between Gene Expression and Regulation

Kwon, D. (2017) · Inside Precision Medicine · doi:10.1089/clinomi.04.06.19

Taking genomics research to the next level: The Genotype‐Tissue expression project

Wohlers, I., & Bertram, L. (2018) · Movement Disorders · doi:10.1002/mds.27445 · Cited by 2

GTEx project maps wide range of normal human genetic variation

(2018) · American Journal of Medical Genetics Part A · doi:10.1002/ajmg.a.38426 · Cited by 10

El código de la regulación genética

Ward, M. C. (2018) · Dialnet (Universidad de la Rioja) · Cited by 1

Human genomics. The Genotype-Tissue Expression (GTEx) pilot analysis: multitissue gene regulation in humans

GTEx Consortium (2015) · Archive ouverte UNIGE (University of Geneva) · Cited by 3