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

CATA: a comprehensive chromatin accessibility database for cancer

Zhou, J., Li, Y., Chen, J., Li, T., Zhan, W., Zhao, J., Li, M., Yu, R., Yu, R., Haiying, Z., et al. (2020) · Database · doi:10.1093/database/baab085 · Cited by 2

Data on overlapping brain disorders and emerging drug targets in human Dopamine Receptors Interaction Network

Podder, A., & Latha, N. (2017) · Data in Brief · doi:10.1016/j.dib.2017.04.001 · Cited by 2

Who is this gene and what does it do? A toolkit for munging transcriptomics data in pythonPreprint

Fisher, C. K., Smith, A. M., & Walsh, J. R. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/299107 · Cited by 1

Low Pass Genomes of 141,431 Chinese Reveal Patterns of Viral Infection, Novel Phenotypic Associations, and the Genetic History of ChinaPreprint

Liu, S., Huang, S., Chen, F., Zhao, L., Yuan, Y., Francis, S. S., Fang, L., Li, Z., Lin, L., Liu, R., et al. (2018) · SSRN Electronic Journal · doi:10.2139/ssrn.3188420 · Cited by 2

Druggable proteins influencing cardiac structure and function: implications for heart failure therapies and cancer related cardiotoxicityPreprint

Schmidt, A. F., Bourfiss, M., Alasiri, A. I., Chopade, S., Anton, E. P., van Vugt, M., van der Laan, S. W., Riele, A. S. J. M. T., Velthuis, B. K., Franceschini, N., et al. (2022) · Research Square · doi:10.21203/rs.3.rs-1305500/v1 · Cited by 2

Assessing the basal gene expression of cancer cell lines for in vitro transcriptomic toxicology screeningPreprint

Black, M. B., Efremenko, A. Y., McMullen, P. D., Barutcu, A. R., & Nong, A. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.07.26.550714 · Cited by 2

Cmai: Predicting Antigen-Antibody Interactions from Massive Sequencing DataPreprint

Song, B., Wang, K., Na, S., Yao, J., Fattah, F. J., von Itzstein, M. S., Yang, D. M., Liu, J., Xue, Y., Liang, C., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.06.27.601035 · Cited by 2

Genetic Overlap Between Inflammatory Bowel Disease and Neurological Disorders: Insights from GWAS and Gene Expression AnalysisPreprint

Tripathi, U., Stern, Y., Dagan, I., Nayak, R., Romanovsky, E., Zittan, E., & Stern, S. (2024) · medRxiv · doi:10.1101/2024.07.29.24311160 · Cited by 2

Toden-E: Topology-Based and Density-Based Ensembled Clustering for the Development of Super-PAG in Functional Genomics using PAG Network and LLMPreprint

Li, Q., Nichols, C., Welner, R. S., Chen, J., Ku, W.-S., & Yue, Z.-L. (2024) · bioRxiv · doi:10.1101/2024.10.20.619308 · Cited by 1

Machine Learning and Omic Data for Prediction of Health and Chronic Diseases

Olenik, M., & Dönertaş, H. M. (2025) · Elsevier eBooks · doi:10.1016/b978-0-323-95502-7.00284-0 · Cited by 4

Optimized Molecular Interaction Networks for the Study of Skeletal Muscle

Morgan, S., Malatras, A., Duguez, S., & Duddy, W. J. (2021) · Journal of Neuromuscular Diseases · doi:10.3233/jnd-210680 · Cited by 1

Involvement of N4BP2L1, PLEKHA4, and BEGAIN genes in breast cancer and muscle cell development

Dastsooz, H., Anselmi, F., Lauria, A., Cicconetti, C., Proserpio, V., Mohammadisoleimani, E., Firoozi, Z., Mansoori, Y., Haghi‐Aminjan, H., Caizzi, L., et al. (2024) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2024.1295403 · Cited by 1

Melocular Evolution on Cold Temperature Adaptation of Chinese Rhesus Macaques

Wang, X., Feng, M.-H., Wang, S., & Shi, H. (2024) · Current Genomics · doi:10.2174/0113892029301969240708094053 · Cited by 1

Identification of DCAF5 as a novel cancer prognostic and immunotherapy biomarker through pan-cancer analysis and renal clear cell carcinoma clinical data validation

Yan, H., Zhang, L., Xu, F., Chen, T., & Li, R. (2025) · Discover Oncology · doi:10.1007/s12672-025-02974-6 · Cited by 1

Much ado about NAA-thing

Funcke, J., & Scherer, P. E. (2025) · Nature Metabolism · doi:10.1038/s42255-025-01327-5 · Cited by 1

Decoding the association between mucosal-associated invariant T cells and prostate cancer via multi-omics analysis

Lai, L., Huang, R., Si, K., Huang, J., & Yin, L. (2025) · Medicine · doi:10.1097/md.0000000000044781 · Cited by 1

Unveiling the clinical and genetic impact of neuropsychiatric involvement in systemic lupus erythematosus

Cha, S., Ahn, G. Y., Kim, K.-W., Lee, H., Bae, S.-C., & Bang, S. (2025) · RMD Open · doi:10.1136/rmdopen-2025-006033 · Cited by 2

Integrative Multi‐Omics Analysis Prioritizes Candidate Genes for Essential Tremor and Reveals a Gap Between Computational Prediction and Experimental Validation

Yusufujiang, A., Zeng, S., Xu, L., Li, G., Wang, Z., & Li, H. (2025) · Movement Disorders · doi:10.1002/mds.70101 · Cited by 1

Promoter Hypomethylation Unleashes HMGA1 to Orchestrate Immune Evasion and Therapy Resistance Across Cancers

Shahzadi, I., Ahsan, T., Anwaar, S., Zaman, W., & Xia, H. (2025) · Biology · doi:10.3390/biology14121758 · Cited by 1

Shared genetic architecture between schizophrenia and gastrointestinal diseases: insights from large-scale genome-wide cross-trait analysis

Ding, Y., Wang, J., Luo, Q., Deng, C., Shen, P., Xu, Z., & Zhang, L. (2026) · Annals of General Psychiatry · doi:10.1186/s12991-025-00625-2 · Cited by 1

iPepGen: a modular, immunopeptidogenomic analysis pipeline for discovery, verification, and prioritization of cancer peptide neoantigen candidates

Mehta, S. P., Wagner, R., Do, K. T., Johnson, J. E., Yu, F.-C., Jubenville, T. A., Richards, K., Coleman, S., Popescu, F. E., Nesvizhskii, A., et al. (2026) · Genome Biology · doi:10.1186/s13059-026-04012-2

AI-driven gene-sets, networks, pathways, and interactions analyses of multi-omics data

Yue, Z., Zhang, Z., Thanh, Q., Nguyen, T. M., Sembay, Z., Chen, H., Welner, R. S., & Chen, J. Y. (2026) · Progress in molecular biology and translational science · doi:10.1016/bs.pmbts.2026.01.023 · Cited by 1

SECmeres outperform extracellular vesicles as potential blood RNA biomarkers for Alzheimer’s disease

Gonzalez‐Kozlova, E., Tichkule, S., Nose, Y., Chen, T.-Y., Reznik, E., Santiago, J. V., Korrapati, A., Soleymani, T., Kosoy, R., Figueiredo, I., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-74541-8 · Cited by 2

Systems Medicine as a Transforming Tool for Cardiovascular Genetics

Boerries, M., & Zeller, T. (2019) · Cardiac and vascular biology · doi:10.1007/978-3-030-27371-2_11 · Cited by 1

Genetic Variations in Nucleotide Excision Repair Pathway Genes and Risk of Allergic Rhinitis

Liu, W., Zeng, Q., Zeng, Y., Tang, Y., & Luo, R. (2022) · Mediators of Inflammation · doi:10.1155/2022/7815283 · Cited by 1

Integration of Candida albicans-induced single-cell gene expression data and secretory protein concentrations reveal genetic regulators of inflammation

Boahen, C. K., Oelen, R., Le, K. T. T., Netea, M. G., Franke, L., van der Wijst, M. G. P., & Kumar, V. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1069379 · Cited by 1

Analysis of hemopexin plasma levels in patients with age-related macular degeneration.

Lauwen, S., Bakker, B., de Jong, E. K., Fauser, S., Hoyng, C. B., Lefeber, D. J., & den Hollander, A. I. (2022) · PubMed Central · Cited by 1

Impact of Prolonged Use of COVID-19 Drugs on the Human Neurological System using Insilco Drug-gene Interaction

Naqvi, W., Garg, P., & Srivastava, P. (2023) · Coronaviruses · doi:10.2174/2666796704666230726122536 · Cited by 1

An expression-directed linear mixed model discovering low-effect genetic variants

Li, Q., Bian, J., Qian, Y., Kossinna, P., Gau, C., Gordon, P. M. K., Zhou, X., Guo, X., Yan, J. Y., Wu, J., et al. (2024) · Genetics · doi:10.1093/genetics/iyae018 · Cited by 1

Revision of Functionally Relevant and Widely Expressed Long Non-Coding RNAs

Konina, D., & Skoblov, M. Y. (2024) · Molecular Biology · doi:10.1134/s0026893324700183 · Cited by 1

Genetic associations of Neat1 polymorphisms with clinicopathologic characteristics of tongue cancer

Chen, K., Chuang, C., Lien, M.-Y., Su, C., Chen, M. Y., Tsai, H., Yang, S.-F., & Tang, C. (2025) · International Journal of Medical Sciences · doi:10.7150/ijms.103842 · Cited by 1

Nested Inheritance Dynamics

Moraffah, B. (2024) · Asilomar Conference on Signals, Systems and Computers (ACSSC) · doi:10.1109/ieeeconf60004.2024.10942682 · Cited by 1

ALKBH1 Gene rs6494 T>A Polymorphism Decreases Wilms Tumour Risk in Chinese Children

Deng, C., Zhou, H., Zhang, N., Chen, M., Hua, R., Cheng, J., Li, S., Zhang, J., Ruan, J., Fu, W., et al. (2025) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.70864 · Cited by 1

A lead candidate functional single nucleotide polymorphism within the WARS2 gene associated with waist-hip-ratio does not alter RNA stability

Mušo, M., Dumbell, R., Pulit, S. L., Sinnott-Armstrong, N., Laber, S., Zolkiewski, L., Bentley, L., Claussnitzer, M., & Cox, R. (2020) · Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms · doi:10.1016/j.bbagrm.2020.194640 · Cited by 1

Polymorphism in INSR Locus Modifies Risk of Atrial Fibrillation in Patients on Thyroid Hormone Replacement Therapy

Soto‐Pedre, E., Siddiqui, M. K., Maroteau, C., Dawed, A. Y., Doney, A. S. F., Palmer, C. N. A., Pearson, E. R., & Leese, G. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.652878 · Cited by 1

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

McFarland, C. D., Tilk, S., Curtis, C. N., & Petrov, D. A. (2020) · Research Square · doi:10.21203/rs.3.rs-90804/v1 · Cited by 1

Long noncoding RNA VENTHEART is required for cardiomyocyte specification and functionPreprint

Dashi, A., Tan, W. L. W., Anene-Nzelu, C. G., Pan, B., Ilmari, A. M., Tiang, Z., Hartman, R. J. G., Stenzig, J., Wei, H., Bin, C. G., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.02.01.429136 · Cited by 1

Comparison of human and mouse tissues with focus on genes with no 1-to-1 homologyPreprint

Jeong, J., & Kellis, M. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.05.22.445250 · Cited by 1

GPX7 is Identified as a Novel Prognostic Indicator for Brain Lower Grade Glioma (LGG): Evidence from a Pan-Cancer AnalysisPreprint

Zhao, Q., Yang, Y., Zhang, L., Wang, Y., Wang, T., Sun, Y., Cao, J., Qi, M., Du, X., Xia, Z., et al. (2021) · Research Square · doi:10.21203/rs.3.rs-763552/v1 · Cited by 1

IL-6R protective variant rs7529229 reduces interleukin-6 signaling and contributes to decreased ischemic stroke riskPreprint

Zhang, H., Zhao, W., Liu, B., Wang, T., Han, Z., Ji, X., & Liu, G. (2020) · doi:10.21203/rs.3.rs-37472/v1 · Cited by 1

Factors influencing patterns of gene expression in large bowel mucosaPreprint

Vaughan-Shaw, P. G., Ooi, L. Y., Timofeeva, M. N., Grimes, G. R., Din, F. V. N., Farrington, S. M., & Dunlop, M. G. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.08.30.505238 · Cited by 1

Genome-wide association study of obstructive sleep apnea in the Million Veteran Program uncovers genetic heterogeneity by sexPreprint

Sofer, T., Kurniansyah, N., Murray, M. T., Ho, Y.-L. A., Huffman, J. E., Cho, K., Wilson, P. W. F., & Gottlieb, D. J. (2022) · medRxiv · doi:10.1101/2022.12.21.22283799 · Cited by 1

Elucidating the Epigenetic Landscape of Type 2 Diabetes: A Multi-Omics Analysis Revealing Novel CpG Sites and Their Association with Cardiometabolic TraitsPreprint

Chung, R., Wang, C., Onthoni, D. D., Liao, B., Hsu, T.-S., Martin, E. R., Hsiung, C. A., Sheu, W. H., & Chiou, H. (2024) · medRxiv · doi:10.1101/2024.05.20.24307650 · Cited by 1

Identification of HOXC Gene Family as Prognostic and Immune-Related Biomarkers in Breast Cancer Through mRNA Transcriptional Profile and Experimental Validation

Cheng, X., Luo, J., & Cao, J. (2024) · Biochemical Genetics · doi:10.1007/s10528-024-10884-5 · Cited by 1

Leptin Knockdown in Human Adipose Progenitor Cells Alters Adipocyte FunctionPreprint

Fuchs, L., Duc, D.-G. L., Bundalian, L., Hentschel, J., Richter, S., Kirstein, A., Engelberger, F., Grunewald, S., Meiler, J., Blüher, M., et al. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5150934 · Cited by 1

SEAHORSE: A Serendipity Engine Assaying Heterogeneous Omics-Related Sampling ExperimentsPreprint

Quackenbush, A., Kolluri, J., Biju, R. V., Nhong, S., DeConti, D. K., Wu, H. T., Quackenbush, J. F., Quackenbush, J. F., Eicher, T., & Eicher, T. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.08.15.670514 · Cited by 1

Generative AI Enables Breast Cancer Genomic Subtype Prediction from Histology ImagesPreprint

Simon, B. G., Weiß, C. L., Chan, D., Mangiante, L., Ma, Z., Smith, N. H., Meisner, A., Rae, J. M., Speers, C. W., Albain, K. S., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.29.692457 · Cited by 1

GOLDEN fusion: a graph-oriented learning with domain-embedding network fusion for generating super gene sets in functional genomics

Li, Q., Nichols, C., Welner, R. S., Chen, J. Y., Ku, W.-S., & Yue, Z. (2026) · Briefings in Bioinformatics · doi:10.1093/bib/bbag244

Oxidative-phosphorylation genes from the mitochondrial and nuclear genomes co-express in all human tissues except for the ancient brainPreprint

Barshad, G., Blumberg, A., & Mishmar, D. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/136457

A comprehensive analysis of polymorphic variants in steroid hormone and insulin‐like growth factor‐1 metabolism and risk of in situ breast cancer: Results from the Breast and Prostate Cancer Cohort Consortium

Barrdahl, M., Canzian, F., Gaudet, M. M., Gapstur, S. M., Trichopoulou, A., Tsilidis, K. K., van Gils, C. H., Borgquist, S., Weiderpass, E., Khaw, K., et al. (2017) · International Journal of Cancer · doi:10.1002/ijc.31145

Different molecular signatures in lung cancer types from integrative bioinformatic analyses of RNASeq dataPreprint

Lucchetta, M., da Piedade, I., Mounir, M., Vabistsevits, M., Terkelsen, T., & Papaleo, E. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/501569

Incorporação de evidências biológicas para a identificação de SNPs interferindo em sítios alvos de miRNAs

Oliveira, P. P. (2019) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/t.95.2019.tde-13012019-200435

Genome-wide analyses point to differences in genetic architecture of BMI between tall and short peoplePreprint

Lin, B. D., Mullin, B. H., Wilson, S. G., Walsh, J. P., Li, Y., Adan, R. A. H., & Luykx, J. J. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.09.24.312181

Recovering genomes and phenotypes using allele-specific gene expressionPreprint

Gürsoy, G., Lu, N., Wagner, S. A., & Gerstein, M. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.11.11.377978

Pathogen-Selected Polymorphisms in the PKLR Gene Are Associated with Mycobacterial Susceptibility in Brazilian and African Populations

Bezerra, O. C. D. L., Alvarado-Arnez, L. E., Mabunda, N. J., Salomé, G., de Sousa, A., Kehdy, F. S. G., Marques, C. D. S., Manta, F. S. D. N., Andrade, R. M., Ferreira, L. P., et al. (2020) · PLoS neglected tropical diseases · doi:10.1371/journal.pntd.0009434

Epigenetics of muscle disorders

Oltra, E. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-823928-5.00023-2

Alimentary System is Directly Attacked by SARS-COV-2 and might Further Prevent Immune Dysregulation Caused by COVID-19 (Preprint)Preprint

Jiang, Y., Zhou, J., Ou, X., Cheng, W., Qin, Y., & Chen, S. (2020) · doi:10.2196/preprints.21160

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

Babarinde, I. A., & Hutchins, A. P. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.01.30.478357

Alimentary System is Directly Attacked by SARS-COV-2 and Further Prevent Immune Dysregulation Caused by COVID-19Preprint

Chen, S., Zhou, J., Xiaoqi Ou, U. G., Cheng, W., Qin, Y., Guo, Y., & Jiang, Y. (2020) · doi:10.21203/rs.3.rs-56005/v1

Cellular and Molecular Effects of Understudied Kinase Pregnancy Upregulated Non-Ubiquitous Calcium-Calmodulin Dependent Kinase (PNCK) in Renal Cell CarcinomaPreprint

Essegian, D. J., Chavez-Perez, V. A., Bustamante, F., Schürer, S. C., & Merchan, J. R. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4073003

Faculty Opinions recommendation of Identification of new therapeutic targets for osteoarthritis through genome-wide analyses of UK Biobank data.

Vincent, T. L. (2019) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.734895527.793561360

Faculty Opinions recommendation of Cytochrome P450 oxidoreductase contributes to phospholipid peroxidation in ferroptosis.

Vabulas, M. (2020) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.737404144.793577864

The Genetic Base For Drug Addiction (Preprint)Preprint

Abdul, H. (2020) · doi:10.2196/preprints.21412

Faculty Opinions recommendation of Cytochrome P450 oxidoreductase contributes to phospholipid peroxidation in ferroptosis.

Crawford, J. M., & Dudkina, N. (2020) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.737404144.793574742

Integration of Candida albicans -induced single-cell gene expression data and circulatory protein concentrations reveal genetic regulators of inflammationPreprint

Boahen, C. K., Oelen, R., Le, K. T. T., Netea, M. G., Franke, L., van der Wijst, M. G. P., & Kumar, V. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.07.25.501448

HAUS5 is a novel prognostic biomarker for hepatocellular carcinoma that is associated with poor clinical outcomesPreprint

Liu, Y., Liang, J., Li, X., Huang, J., Huang, J., & Wang, J. (2023) · Research Square · doi:10.21203/rs.3.rs-2524201/v1

Cloud-based Biomedical and Health Research Collaborations: A review of applications and their data sharing approaches (Preprint)Preprint

Mugonza, R., Basaza‐Ejiri, A. H., & Ssembatya, R. (2023) · doi:10.2196/preprints.33135

Identifying genetic variants for amyloid β in subcortical vascular cognitive impairment

Kim, H., Jung, S., Kim, B., Kim, J., Jang, H., Kim, J. P., Kim, S. Y., Na, D. L., Kim, H. J., Nho, K. T., et al. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1160536

Supervised structural learning of semiparametric regression on high‐dimensional correlated covariates with applications to eQTL studies

Liu, W., Lin, H., Liu, L., Yanyuan Ma, B., Wei, Y., & Li, Y. (2023) · Statistics in Medicine · doi:10.1002/sim.9769

Relationship between 233 colorectal cancer risk loci and survival in 1926 patients with advanced disease

Wills, C., Houseman, A., Watts, K., Maughan, T., Fisher, D. J., Houlston, R. S., West, H. D., Escott‐Price, V., & Cheadle, J. P. (2023) · BJC Reports · doi:10.1038/s44276-023-00003-z

Robust identification of shared key genomic biomarkers for diagnosis and therapies of pancreatic cancer with type-2 diabetesPreprint

Hossen, M. B., Islam, M. A., Horaira, M. A., Ali, M. A., Himu, U. H., Kibria, M. K., Reza, M. S., Sarker, A., Hossen, M. A., Kabir, M. H., et al. (2023) · Research Square · doi:10.21203/rs.3.rs-3246376/v1

Genomic and epigenomic evolution of metastatic prostate cancer: the first warm autopsy in ChinaPreprint

Zhang, W., Wang, Y., Qu, M., Shi, H., Lu, X. L., Yang, Q., Liu, F., Wang, T., Wang, Z., Lian, B., et al. (2023) · medRxiv · doi:10.1101/2023.08.22.23294351

The eQTL analysis to discover unique eGFR-related SNPs for the Taiwanese population

Wu, P., Lin, J., Kuo, M., & Yu, S. (2023) · Journal of Nephrology · doi:10.1007/s40620-023-01793-8

A ferroptosis-related gene signature and immune infiltration for predicting the lymph node metastasis of patients with lung adenocarcinomaPreprint

Shen, Y., Zheng, Q., Che, G., & Chen, L. (2023) · Research Square · doi:10.21203/rs.3.rs-3553140/v1

Genomic and epigenomic evolution of metastatic prostate cancer: the first warm autopsy in ChinaPreprint

Zhang, W., Wang, Y., Qu, M., Shi, H., Lu, X. L., Yang, Q., Liu, F., Wang, T., Wang, Z., Lian, B., et al. (2023) · doi:10.7554/elife.90306.1

Genomic and epigenomic evolution of metastatic prostate cancer: the first warm autopsy in ChinaPreprint

Zhang, W., Wang, Y., Qu, M., Shi, H., Lu, X. L., Yang, Q., Liu, F., Wang, T., Wang, Z., Lian, B., et al. (2023) · doi:10.7554/elife.90306

Unveiling the role of Tdark genes in genetic diseases and phenotypes through bioinformatics-based functional enrichment and network analysesPreprint

Kafita, D., Dzobo, K., Nkhoma, P., & Sinkala, M. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.01.13.575505

Genome-wide association study of DXA-derived hip morphology identifies associations with 4 loci in Chinese populationsPreprint

Zheng, J., Ge, J., Faber, B. G., Lin, H., Ebsim, R., Lindner, C., Cootes, T. F., Li, J., Tobias, J. H., Gao, X., et al. (2024) · medRxiv · doi:10.1101/2024.01.25.24301766

Obtenção de novos potenciais biomarcadores para o câncer de mama com o auxílio da inteligência artificial explicável

Souza, L., de Azevedo, K. S., Dalmolin, M., & Fernandes, M. A. C. (2023) · Congresso Brasileiro de Inteligência Computacional (CBIC) · doi:10.21528/cbic2023-093

Additional file 13 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease

Chu, X., Jaeger, M., Beumer, J., Bakker, O. B., Aguirre‐Gamboa, R., Oosting, M., Smeekens, S. P., Moorlag, S. J. C. F. M., Mourits, V. P., Koeken, V. A. C. M., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14920800

Additional file 11 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease

Chu, X., Jaeger, M., Beumer, J., Bakker, O. B., Aguirre‐Gamboa, R., Oosting, M., Smeekens, S. P., Moorlag, S. J. C. F. M., Mourits, V. P., Koeken, V. A. C. M., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14920794

Additional file 3 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease

Chu, X., Jaeger, M., Beumer, J., Bakker, O. B., Aguirre‐Gamboa, R., Oosting, M., Smeekens, S. P., Moorlag, S. J. C. F. M., Mourits, V. P., Koeken, V. A. C. M., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14921233

Additional file 6 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease

Chu, X., Jaeger, M., Beumer, J., Bakker, O. B., Aguirre‐Gamboa, R., Oosting, M., Smeekens, S. P., Moorlag, S. J. C. F. M., Mourits, V. P., Koeken, V. A. C. M., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14921242

Additional file 16 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease

Chu, X., Jaeger, M., Beumer, J., Bakker, O. B., Aguirre‐Gamboa, R., Oosting, M., Smeekens, S. P., Moorlag, S. J. C. F. M., Mourits, V. P., Koeken, V. A. C. M., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14921197

Additional file 21 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease

Chu, X., Jaeger, M., Beumer, J., Bakker, O. B., Aguirre‐Gamboa, R., Oosting, M., Smeekens, S. P., Moorlag, S. J. C. F. M., Mourits, V. P., Koeken, V. A. C. M., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14921215

Additional file 17 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease

Chu, X., Jaeger, M., Beumer, J., Bakker, O. B., Aguirre‐Gamboa, R., Oosting, M., Smeekens, S. P., Moorlag, S. J. C. F. M., Mourits, V. P., Koeken, V. A. C. M., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14921200

Additional file 4 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease

Chu, X., Jaeger, M., Beumer, J., Bakker, O. B., Aguirre‐Gamboa, R., Oosting, M., Smeekens, S. P., Moorlag, S. J. C. F. M., Mourits, V. P., Koeken, V. A. C. M., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14921236

Additional file 20 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease

Chu, X., Jaeger, M., Beumer, J., Bakker, O. B., Aguirre‐Gamboa, R., Oosting, M., Smeekens, S. P., Moorlag, S. J. C. F. M., Mourits, V. P., Koeken, V. A. C. M., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14921212

Additional file 14 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease

Chu, X., Jaeger, M., Beumer, J., Bakker, O. B., Aguirre‐Gamboa, R., Oosting, M., Smeekens, S. P., Moorlag, S. J. C. F. M., Mourits, V. P., Koeken, V. A. C. M., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14920803

Additional file 7 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease

Chu, X., Jaeger, M., Beumer, J., Bakker, O. B., Aguirre‐Gamboa, R., Oosting, M., Smeekens, S. P., Moorlag, S. J. C. F. M., Mourits, V. P., Koeken, V. A. C. M., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14921245

Additional file 9 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease

Chu, X., Jaeger, M., Beumer, J., Bakker, O. B., Aguirre‐Gamboa, R., Oosting, M., Smeekens, S. P., Moorlag, S. J. C. F. M., Mourits, V. P., Koeken, V. A. C. M., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14921251

Additional file 23 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease

Chu, X., Jaeger, M., Beumer, J., Bakker, O. B., Aguirre‐Gamboa, R., Oosting, M., Smeekens, S. P., Moorlag, S. J. C. F. M., Mourits, V. P., Koeken, V. A. C. M., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14921221

Additional file 8 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease

Chu, X., Jaeger, M., Beumer, J., Bakker, O. B., Aguirre‐Gamboa, R., Oosting, M., Smeekens, S. P., Moorlag, S. J. C. F. M., Mourits, V. P., Koeken, V. A. C. M., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14921248

Additional file 22 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease

Chu, X., Jaeger, M., Beumer, J., Bakker, O. B., Aguirre‐Gamboa, R., Oosting, M., Smeekens, S. P., Moorlag, S. J. C. F. M., Mourits, V. P., Koeken, V. A. C. M., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14921218

Additional file 19 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease

Chu, X., Jaeger, M., Beumer, J., Bakker, O. B., Aguirre‐Gamboa, R., Oosting, M., Smeekens, S. P., Moorlag, S. J. C. F. M., Mourits, V. P., Koeken, V. A. C. M., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14921206

Additional file 1 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease

Chu, X., Jaeger, M., Beumer, J., Bakker, O. B., Aguirre‐Gamboa, R., Oosting, M., Smeekens, S. P., Moorlag, S. J. C. F. M., Mourits, V. P., Koeken, V. A. C. M., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14921209

Additional file 10 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease

Chu, X., Jaeger, M., Beumer, J., Bakker, O. B., Aguirre‐Gamboa, R., Oosting, M., Smeekens, S. P., Moorlag, S. J. C. F. M., Mourits, V. P., Koeken, V. A. C. M., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14920791

Additional file 2 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease

Chu, X., Jaeger, M., Beumer, J., Bakker, O. B., Aguirre‐Gamboa, R., Oosting, M., Smeekens, S. P., Moorlag, S. J. C. F. M., Mourits, V. P., Koeken, V. A. C. M., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14921230

Additional file 12 of Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease

Chu, X., Jaeger, M., Beumer, J., Bakker, O. B., Aguirre‐Gamboa, R., Oosting, M., Smeekens, S. P., Moorlag, S. J. C. F. M., Mourits, V. P., Koeken, V. A. C. M., et al. (2021) · Figshare · doi:10.6084/m9.figshare.14920797

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