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 · see citing works

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 · see citing works

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 · see citing works

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 · see citing works

The gasdermins, a protein family executing cell death and inflammation

Broz, P., Pelegrín, P., & Shao, F. (2020) · Nature Reviews Immunology · doi:10.1038/s41577-019-0228-2 · Cited by 1,641 · see citing works

Cytochrome P450 oxidoreductase contributes to phospholipid peroxidation in ferroptosis

Zou, Y., Li, H., Graham, E. T., Deik, A., Eaton, J. K., Wang, W., Sandoval-Gomez, G., Clish, C. B., Doench, J. G., & Schreiber, S. L. (2020) · Nature Chemical Biology · doi:10.1038/s41589-020-0472-6 · Cited by 740 · see citing works

New functionalities in the TCGAbiolinks package for the study and integration of cancer data from GDC and GTEx

Mounir, M., Lucchetta, M., Silva, T. C., Olsen, C., Bontempi, G., Chen, X., Noushmehr, H., Colaprico, A., & Papaleo, E. (2019) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006701 · Cited by 521 · see citing works

Identification of new therapeutic targets for osteoarthritis through genome-wide analyses of UK Biobank data

arcOGEN Consortium, Tachmazidou, I., Hatzikotoulas, K., Southam, L., Esparza-Gordillo, J., Haberland, V., Zheng, J., Johnson, T., Koprulu, M., Zengini, E., et al. (2019) · Nature Genetics · doi:10.1038/s41588-018-0327-1 · Cited by 516 · see citing works

Determinants of telomere length across human tissues

Demanelis, K., Jasmine, F., Chen, L. S., Chernoff, M., Tong, L., Delgado, D., Zhang, C., Shinkle, J., Sabarinathan, M., Lin, H., et al. (2020) · Science · doi:10.1126/science.aaz6876 · Cited by 515 · see citing works

Misuse of RPKM or TPM normalization when comparing across samples and sequencing protocols

Zhao, S., Ye, Z., & Stanton, R. V. (2020) · RNA · doi:10.1261/rna.074922.120 · Cited by 455 · see citing works

SR-B1: A Unique Multifunctional Receptor for Cholesterol Influx and Efflux

Shen, W., Azhar, S., & Kraemer, F. B. (2017) · Annual Review of Physiology · doi:10.1146/annurev-physiol-021317-121550 · Cited by 403 · see citing works

Camostat mesylate inhibits SARS-CoV-2 activation by TMPRSS2-related proteases and its metabolite GBPA exerts antiviral activity

Hoffmann, M., Hofmann-Winkler, H., Smith, J. C., Krüger, N., Arora, P., Sørensen, L. K., Søgaard, O. S., Hasselstrøm, J. B., Winkler, M., Hempel, T., et al. (2021) · EBioMedicine · doi:10.1016/j.ebiom.2021.103255 · Cited by 384 · see citing works

Contribution of genetics to visceral adiposity and its relation to cardiovascular and metabolic disease

Karlsson, T., Rask‐Andersen, M., Pan, G., Höglund, J., Wadelius, C., Ek, W. E., & Johansson, Å. (2019) · Nature Medicine · doi:10.1038/s41591-019-0563-7 · Cited by 318 · see citing works

HCCDB: A Database of Hepatocellular Carcinoma Expression Atlas

Lian, Q., Wang, S., Zhang, G., Wang, D., Luo, G., Tang, J. P., Chen, L., & Gu, J. (2018) · Genomics Proteomics & Bioinformatics · doi:10.1016/j.gpb.2018.07.003 · Cited by 290 · see citing works

Genomic Analyses from Non-invasive Prenatal Testing Reveal Genetic Associations, Patterns of Viral Infections, and Chinese Population History

Liu, S., Huang, S., Chen, F., Zhao, L., Yuan, Y., Francis, S. S., Fang, L., Li, Z., Lin, L., Liu, R., et al. (2018) · Cell · doi:10.1016/j.cell.2018.08.016 · Cited by 279 · see citing works

Artificial intelligence for precision medicine in neurodevelopmental disorders

Uddin, M. J., Wang, Y., & Woodbury‐Smith, M. (2019) · npj Digital Medicine · doi:10.1038/s41746-019-0191-0 · Cited by 257 · see citing works

Initial whole-genome sequencing and analysis of the host genetic contribution to COVID-19 severity and susceptibility

Wang, F., Huang, S., Gao, R., Zhou, Y., Lai, C., Li, Z., Xian, W., Qian, X., Li, Z., Huang, Y., et al. (2020) · Cell Discovery · doi:10.1038/s41421-020-00231-4 · Cited by 222 · see citing works

Defining the Functional Role of NaV1.7 in Human Nociception

McDermott, L., Weir, G. A., Themistocleous, A. C., Segerdahl, A. R., Blesneac, I., Baskozos, G., Clark, A. J., Millar, V., Peck, L. J., Ebner, D. V., et al. (2019) · Neuron · doi:10.1016/j.neuron.2019.01.047 · Cited by 209 · see citing works

Sex differences in genetic architecture in the UK Biobank

Bernabeu, E., Canela‐Xandri, O., Rawlik, K., Talenti, A., Prendergast, J. G. D., & Tenesa, A. (2021) · Nature Genetics · doi:10.1038/s41588-021-00912-0 · Cited by 196 · see citing works

Genomic Epidemiology of SARS-CoV-2 in the United Arab Emirates Reveals Novel Insights into the Virus Mutation, Co-Infection and Host-Dependent RNA Editing

Liu, R., Wu, P., Ogrodzki, P., Mahmoud, S., Liang, K., Liu, P., Francis, S. S., Khalak, H. G., Liu, D., Li, J., et al. (2020) · Scientific Reports · doi:10.1038/s41598-021-92851-3 · Cited by 204 · see citing works

Eicosanoid signalling blockade protects middle-aged mice from severe COVID-19

Wong, L.-Y. R., Zheng, J., Wilhelmsen, K., Li, K., Ortiz, M. E., Schnicker, N. J., Thurman, A., Pezzulo, A. A., Szachowicz, P. J., Li, P., et al. (2022) · Nature · doi:10.1038/s41586-022-04630-3 · Cited by 178 · see citing works

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

Johansson, Å., Rask‐Andersen, M., Karlsson, T., & Ek, W. E. (2019) · Human Molecular Genetics · doi:10.1093/hmg/ddz175 · Cited by 152 · see citing works

Pharmacogenomics of GLP-1 receptor agonists: a genome-wide analysis of observational data and large randomised controlled trials

Dawed, A. Y., Mari, A., Brown, A. A., McDonald, T. J., Li, L., Wang, S., Hong, M., Sharma, S., Robertson, N. R., Mahajan, A., et al. (2022) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(22)00340-0 · Cited by 137 · see citing works

LncSEA: a platform for long non-coding RNA related sets and enrichment analysis

Chen, J., Zhang, J., Gao, Y., Li, Y., Feng, C., Song, C., Ning, Z., Zhou, X., Zhao, J., Feng, M., et al. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkaa806 · Cited by 132 · see citing works

A practical view of fine-mapping and gene prioritization in the post-genome-wide association era

Broekema, R., Bakker, O. B., & Jonkers, I. H. (2020) · Open Biology · doi:10.1098/rsob.190221 · Cited by 127 · see citing works

A comprehensive investigation of the mRNA and protein level of ACE2, the putative receptor of SARS-CoV-2, in human tissues and blood cells

Wang, Y., Wang, Y., Luo, W., Huang, L., Xiao, J., Li, F., Qin, S., Song, X., Wu, Y., Zeng, Q., et al. (2020) · International Journal of Medical Sciences · doi:10.7150/ijms.46695 · Cited by 130 · see citing works

A comprehensive proteogenomic pipeline for neoantigen discovery to advance personalized cancer immunotherapy

Huber, F., Arnaud, M., Stevenson, B. J., Michaux, J., Benedetti, F., Thévenet, J., Bobisse, S., Chiffelle, J., Gehert, T., Müller, M., et al. (2024) · Nature Biotechnology · doi:10.1038/s41587-024-02420-y · Cited by 130 · see citing works

Promoter-interacting expression quantitative trait loci are enriched for functional genetic variants

Chandra, V., Bhattacharyya, S., Schmiedel, B. J., Madrigal, A., Gonzalez-Colin, C., Fotsing, S., Crinklaw, A., Seumois, G., Mohammadi, P., Kronenberg, M., et al. (2021) · Nature Genetics · doi:10.1038/s41588-020-00745-3 · Cited by 123 · see citing works

Leveraging Multilayered “Omics” Data for Atopic Dermatitis: A Road Map to Precision Medicine

Ghosh, D., Bernstein, J. A., Hershey, G. K. K., Rothenberg, M. E., & Baye, T. M. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.02727 · Cited by 121 · see citing works

Genetic analysis in European ancestry individuals identifies 517 loci associated with liver enzymes

Pazoki, R., Vujković, M., Elliott, J., Εvangelou, Ε., Gill, D., Ghanbari, M., van der Most, P. J., Pinto, R. C., Wielscher, M., Farlik, M., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-22338-2 · Cited by 115 · see citing works

TissGDB: tissue-specific gene database in cancer

Kim, P., Park, A., Han, G., Sun, H., Jia, P., & Zhao, Z. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx850 · Cited by 102 · see citing works

Protein-coding variants implicate novel genes related to lipid homeostasis contributing to body-fat distribution

Justice, A. E., Karaderi, T., Highland, H. M., Young, K. L., Graff, M., Lu, Y., Turcot, V., Auer, P. L., Fine, R. S., Guo, X., et al. (2019) · Nature Genetics · doi:10.1038/s41588-018-0334-2 · Cited by 98 · see citing works

Global Spread of SARS-CoV-2 Subtype with Spike Protein Mutation D614G is Shaped by Human Genomic Variations that Regulate Expression of TMPRSS2 and MX1 GenesPreprint

Bhattacharyya, C., Das, C., Ghosh, A., Singh, A. K., Mukherjee, S., Majumder, P. P., Basu, A., & Biswas, N. K. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.05.04.075911 · Cited by 103 · see citing works

Association of angiotensin-converting enzyme 2 gene polymorphism and enzymatic activity with essential hypertension in different gender

Zhang, Q., Cong, M., Wang, N., Li, X., Zhang, H., Zhang, K., Jin, M., Wu, N., Qiu, C., & Li, J. (2018) · Medicine · doi:10.1097/md.0000000000012917 · Cited by 95 · see citing works

Genome-wide Association Study of Estradiol Levels and the Causal Effect of Estradiol on Bone Mineral Density

Schmitz, D., Ek, W. E., Berggren, E., Höglund, J., Karlsson, T., & Johansson, Å. (2021) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgab507 · Cited by 94 · see citing works

Statistical methods for SNP heritability estimation and partition: A review

Zhu, H., & Zhou, X. (2020) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2020.06.011 · Cited by 95 · see citing works

Cancer biology as revealed by the research autopsy

Iacobuzio–Donahue, C. A., Michael, C., Baez, P., Kappagantula, R. L., Hooper, J. E., & Hollman, T. J. (2019) · Nature reviews. Cancer · doi:10.1038/s41568-019-0199-4 · Cited by 89 · see citing works

HKDC1 Is a Novel Hexokinase Involved in Whole-Body Glucose Use

Ludvik, A. E., Pusec, C. M., Priyadarshini, M., Angueira, A. R., Guo, C., Lo, A., Hershenhouse, K. S., Yang, G., Ding, X., Reddy, T. E., et al. (2016) · Endocrinology · doi:10.1210/en.2016-1288 · Cited by 85 · see citing works

Molecular and phenotypic analysis of rodent models reveals conserved and species-specific modulators of human sarcopenia

Börsch, A., Ham, D. J., Mittal, N., Tintignac, L. A., Migliavacca, E., Feige, J. N., Rüegg, M. A., & Zavolan, M. (2021) · Communications Biology · doi:10.1038/s42003-021-01723-z · Cited by 85 · see citing works

Comprehensive palmitoyl‐proteomic analysis identifies distinct protein signatures for large and small cancer‐derived extracellular vesicles

Mariscal, J., Vagner, T., Kim, M., Zhou, B. O., Chin, A. R., Zandian, M., Freeman, M. R., You, S., Zijlstra, A., Yang, W., et al. (2020) · Journal of Extracellular Vesicles · doi:10.1080/20013078.2020.1764192 · Cited by 83 · see citing works

Highly Accurate Estimation of Cell Type Abundance in Bulk Tissues Based on Single‐Cell Reference and Domain Adaptive Matching

Guo, X., Huang, Z., Ju, F., Zhao, C., & Yu, L. (2023) · Advanced Science · doi:10.1002/advs.202306329 · Cited by 82 · see citing works

Knowledge synthesis of 100 million biomedical documents augments the deep expression profiling of coronavirus receptors

Venkatakrishnan, A., Puranik, A., Anand, A., Zemmour, D., Yao, X., Wu, X., Chilaka, R., Murakowski, D. K., Standish, K., Raghunathan, B., et al. (2020) · eLife · doi:10.7554/elife.58040 · Cited by 78 · see citing works

Structure of Furin Protease Binding to SARS-CoV-2 Spike Glycoprotein and Implications for Potential Targets and Virulence

Vankadari, N. (2020) · The Journal of Physical Chemistry Letters · doi:10.1021/acs.jpclett.0c01698 · Cited by 78 · see citing works

Bioinformatics for precision oncology

Singer, J., Irmisch, A., Ruscheweyh, H., Singer, F., Toussaint, N. C., Levesque, M. P., Stekhoven, D. J., & Beerenwinkel, N. (2017) · Briefings in Bioinformatics · doi:10.1093/bib/bbx143 · Cited by 77 · see citing works

TMEM16A controls EGF-induced calcium signaling implicated in pancreatic cancer prognosis

Crottès, D., Lin, Y.-H. T., Peters, C. J., Gilchrist, J. M., Wiita, A. P., Jan, Y. N., & Jan, L. Y. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1900703116 · Cited by 75 · see citing works

The Clinical Kinase Index: A Method to Prioritize Understudied Kinases as Drug Targets for the Treatment of Cancer

Essegian, D. J., Khurana, R., Stathias, V., & Schürer, S. C. (2020) · Cell Reports Medicine · doi:10.1016/j.xcrm.2020.100128 · Cited by 75 · see citing works

Drug repurposing for viral cancers: A paradigm of machine learning, deep learning, and virtual screening‐based approaches

Ahmed, F., Kang, I. S., Kim, K. H., Asif, A., Rahim, C. S. A., Samantasinghar, A., Memon, F. H., & Choi, K. H. (2023) · Journal of Medical Virology · doi:10.1002/jmv.28693 · Cited by 75 · see citing works

Identification of 22q13 genes most likely to contribute to Phelan McDermid syndrome

Mitz, A. R., Philyaw, T. J., Boccuto, L., Shcheglovitov, A., Sarasua, S. M., Kaufmann, W. E., & Thurm, A. E. (2018) · European Journal of Human Genetics · doi:10.1038/s41431-017-0042-x · Cited by 70 · see citing works

Clinically Relevant Circulating Protein Biomarkers for Type 1 Diabetes: Evidence From a Two-Sample Mendelian Randomization Study

Yazdanpanah, N., Yazdanpanah, M., Wang, Y., Forgetta, V., Pollak, M., Polychronakos, C., Richards, J. B., & Manousaki, D. (2021) · Diabetes Care · doi:10.2337/dc21-1049 · Cited by 67 · see citing works

Gene4Denovo: an integrated database and analytic platform for de novo mutations in humans

Zhao, G., Li, K., Li, B., Wang, Z., Fang, Z., Wang, X., Zhang, Y., Luo, T., Zhou, Q., Wang, L., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz923 · Cited by 64 · see citing works

ATACdb: a comprehensive human chromatin accessibility database

Wang, F., Bai, X., Wang, Y., Jiang, Y., Ai, B., Zhang, Y., Liu, Y., Xu, M., Wang, Q., Han, X., et al. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkaa943 · Cited by 66 · see citing works

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) · Genome biology · doi:10.1186/s13059-021-02413-z · Cited by 64 · see citing works

Loss of Oxidation Resistance 1, OXR1, Is Associated with an Autosomal-Recessive Neurological Disease with Cerebellar Atrophy and Lysosomal Dysfunction

Wang, J., Rousseau, J., Kim, E., Ehresmann, S., Cheng, Y.-T., Duraine, L., Zuo, Z., Park, Y.-J., Li‐Kroeger, D., Bi, W., et al. (2019) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2019.11.002 · Cited by 62 · see citing works

Genetic variants underlying differences in facial morphology in East Asian and European populations

Zhang, M., Wu, S., Du, S., Qian, W., Chen, J., Qiao, L., Yang, Y., Tan, J., Yuan, Z., Peng, Q., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01038-7 · Cited by 64 · see citing works

Combined analysis of keratinocyte cancers identifies novel genome-wide loci

Liyanage, U. E., Law, M. H., Han, X., An, J., Ong, J., Gharahkhani, P., Gordon, S. D., Neale, R. Ε., Olsen, C. M., MacGregor, S., et al. (2019) · Human Molecular Genetics · doi:10.1093/hmg/ddz121 · Cited by 64 · see citing works

Germline Features Associated with Immune Infiltration in Solid Tumors

Shahamatdar, S., He, M. X., Reyna, M. A., Gusev, A., AlDubayan, S. H., Allen, E. M. V., & Ramachandran, S. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.02.039 · Cited by 61 · see citing works

Genome-wide association analysis of pain severity in dysmenorrhea identifies association at chromosome 1p13.2, near the nerve growth factor locus

Jones, A. V., Hockley, J. R. F., Hyde, C. L., Gorman, D. N., Sredic-Rhodes, A., Bilsland, J., McMurray, G., Furlotte, N. A., Hu, Y., Hinds, D. A., et al. (2016) · Pain · doi:10.1097/j.pain.0000000000000678 · Cited by 65 · see citing works

A New Era for Space Life Science: International Standards for Space Omics Processing

Rutter, L. A., Barker, R. J., Bezdan, D., Cope, H., Costes, S. V., Degoricija, L., Fisch, K. M., Gabitto, M. I., Gebre, S., Giacomello, S., et al. (2020) · Patterns · doi:10.1016/j.patter.2020.100148 · Cited by 62 · see citing works

Pyroptosis of syncytia formed by fusion of SARS-CoV-2 spike and ACE2-expressing cells

Ma, H., Zhu, Z., Lin, H., Wang, S., Zhang, P., Li, Y., Li, L., Wang, J., Zhao, Y., & Han, J. (2021) · Cell Discovery · doi:10.1038/s41421-021-00310-0 · Cited by 60 · see citing works

The Biology and Genomics of Human Hair Follicles: A Focus on Androgenetic Alopecia

Durán, R. C., Martínez-Ledesma, E., Garcia-Garcia, M., Gauzin, D. B., Sarro-Ramírez, A., Gonzalez-Carrillo, C., Rodríguez-Sardin, D., Fuentes, A., & Cárdenas-Lopez, A. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25052542 · Cited by 65 · see citing works

A role forTENM1mutations in congenital general anosmia

Alkelai, A., Olender, T., Haffner‐Krausz, R., Tsoory, M., Boyko, V., Tatarskyy, P., Gross‐Isseroff, R., Milgrom, R., Shushan, S., Blau, I., et al. (2016) · Clinical Genetics · doi:10.1111/cge.12782 · Cited by 60 · see citing works

Systematic Mendelian randomization framework elucidates hundreds of CpG sites which may mediate the influence of genetic variants on disease

Richardson, T., Haycock, P., Zheng, J., Timpson, N., Gaunt, T. R., Smith, G. D., Relton, C., & Hemani, G. (2018) · Human Molecular Genetics · doi:10.1093/hmg/ddy210 · Cited by 58 · see citing works

Aldehyde dehydrogenase 1 (ALDH1) isoform expression and potential clinical implications in hepatocellular carcinoma

Yang, C., Wang, X., Liao, X., Han, C., Yu, T., Qin, W., Zhu, G., Su, H., Yu, L., Liu, X., et al. (2017) · PLoS ONE · doi:10.1371/journal.pone.0182208 · Cited by 58 · see citing works

Genome-Wide Pharmacogenomic Study on Methadone Maintenance Treatment Identifies SNP rs17180299 and Multiple Haplotypes on CYP2B6, SPON1, and GSG1L Associated with Plasma Concentrations of Methadone R- and S-enantiomers in Heroin-Dependent Patients

Yang, H., Chu, S., Huang, C.-L., Kuo, H., Wang, S.-C., Liu, S.-W., Ho, I.-K., & Liu, Y. (2016) · PLoS Genetics · doi:10.1371/journal.pgen.1005910 · Cited by 55 · see citing works

A common missense variant of LILRB5 is associated with statin intolerance and myalgia

Siddiqui, M. K., Maroteau, C., Veluchamy, A., Tornio, A., Tavendale, R., Carr, F., Abelega, N.-U., Carr, D. F., Bloch, K. M., Hallberg, P., et al. (2017) · European Heart Journal · doi:10.1093/eurheartj/ehx467 · Cited by 56 · see citing works

Identifying noncoding risk variants using disease-relevant gene regulatory networks

Gao, L., Uzun, Y., Gao, P., He, B., Ma, X., Wang, J., Han, S., & Tan, K. (2018) · Nature Communications · doi:10.1038/s41467-018-03133-y · Cited by 55 · see citing works

A Scalable Bayesian Method for Integrating Functional Information in Genome-wide Association Studies

Yang, J., Fritsche, L. G., Zhou, X., & Abecasis, G. R. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.08.002 · Cited by 53 · see citing works

METTL14 Gene Polymorphisms Confer Neuroblastoma Susceptibility: An Eight-Center Case-Control Study

Zhuo, Z., Lu, H., Zhu, J., Hua, R., Li, Y., Yang, Z., Zhang, J., Cheng, J., Zhou, H., Li, S., et al. (2020) · Molecular Therapy — Nucleic Acids · doi:10.1016/j.omtn.2020.08.009 · Cited by 55 · see citing works

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

Sofer, T., Kurniansyah, N., Murray, M., Ho, Y.-L. A., Abner, E., Esko, T., Metspalu, A., Milani, L. A., Esko, T., Mägi, R., et al. (2023) · EBioMedicine · doi:10.1016/j.ebiom.2023.104536 · Cited by 55 · see citing works

Variant rs8400 enhances ALKBH5 expression through disrupting miR-186 binding and promotes neuroblastoma progression

Guan, Q., Lin, H., Hua, W., Lin, L., Liu, J., Deng, L., Zhang, J., Cheng, J., Yang, Z., Li, Y., et al. (2023) · Chinese Journal of Cancer Research · doi:10.21147/j.issn.1000-9604.2023.02.05 · Cited by 53 · see citing works

Sex-specific genetic architecture of blood pressure

Yang, M., Xu, C., Gupte, T. P., Hoffmann, T. J., Iribarren, C., Zhou, X., & Ganesh, S. K. (2024) · Nature Medicine · doi:10.1038/s41591-024-02858-2 · Cited by 52 · see citing works

Common pitfalls in drug target Mendelian randomization and how to avoid them

Gill, D., Dib, M., Cronjé, H. T., Karhunen, V., Woolf, B. A. R., Gagnon, É., Daghlas, I., Nyberg, M., Drakeman, D. L., & Burgess, S. (2024) · BMC Medicine · doi:10.1186/s12916-024-03700-9 · Cited by 49 · see citing works

Pancancer transcriptomic profiling identifies key PANoptosis markers as therapeutic targets for oncology

Mall, R., Bynigeri, R. R., Karki, R., Malireddi, R. K. S., Sharma, B. R., & Kanneganti, T. (2022) · NAR Cancer · doi:10.1093/narcan/zcac033 · Cited by 51 · see citing works

Next-gen sequencing identifies non-coding variation disrupting miRNA-binding sites in neurological disorders

Devanna, P., Chen, X., Ho, J., Gajewski, D., Smith, S. D., Gialluisi, A., Francks, C., Fisher, S. E., Newbury, D. F., & Vernes, S. C. (2017) · Molecular Psychiatry · doi:10.1038/mp.2017.30 · Cited by 49 · see citing works

Using genetic drug-target networks to develop new drug hypotheses for major depressive disorder

Gaspar, H. A., Gerring, Z. F., Hübel, C., Middeldorp, C. M., Derks, E. M., & Breen, G. D. (2019) · Translational Psychiatry · doi:10.1038/s41398-019-0451-4 · Cited by 51 · see citing works

Landscape of cancer diagnostic biomarkers from specifically expressed genes

Lv, Y., Lin, S., Hu, F., Ye, Z., Zhang, Q., Wang, Y., & Guo, A. (2019) · Briefings in Bioinformatics · doi:10.1093/bib/bbz131 · Cited by 51 · see citing works

GWAS for urinary sodium and potassium excretion highlights pathways shared with cardiovascular traits

Pazoki, R., Εvangelou, Ε., Mosén-Ansorena, D., Pinto, R. C., Karaman, İ., Blakeley, P., Gill, D., Zuber, V., Elliott, P., Tzoulaki, I., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-11451-y · Cited by 49 · see citing works

Developing targeted therapies for neuroblastoma by dissecting the effects of metabolic reprogramming on tumor microenvironments and progression

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