Mapping complex disease traits with global gene expression

Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls

The Wellcome Trust Case Control Consortium, Management Committee, Burton, P. R., Clayton, D. G., Cardon, L. R., Craddock, N., Deloukas, P., Duncanson, A., Kwiatkowski, D. P., McCarthy, M. I., et al. (2007) · Nature · doi:10.1038/nature05911 · Cited by 9,442

Genetics of Food Intake Self-Regulation in Childhood: Literature Review and Research Opportunities

Faith, M. S., Carnell, S., & Kral, T. V. E. (2013) · Human Heredity · doi:10.1159/000353879 · Cited by 7,633

A General Framework for Weighted Gene Co-Expression Network Analysis

Zhang, B., & Horvath, S. (2005) · Statistical Applications in Genetics and Molecular Biology · doi:10.2202/1544-6115.1128 · Cited by 5,684

Association of NOD2 leucine-rich repeat variants with susceptibility to Crohn's disease

Hugot, J.-P., Chamaillard, M., Zouali, H., Lesage, S., Cézard, J.-P., Belaiche, J., Almer, S., Tysk, C., O'Morain, C. A., Gassull, M., et al. (2001) · Nature · doi:10.1038/35079107 · Cited by 5,591

The Connectivity Map: Using Gene-Expression Signatures to Connect Small Molecules, Genes, and Disease

Lamb, J., Crawford, E. D., Peck, D., Modell, J. W., Blat, I. C., Wrobel, M. J., Lerner, J., Brunet, J.-P., Subramanian, A., Ross, K. N., et al. (2006) · Science · doi:10.1126/science.1132939 · Cited by 5,257

The human disease network

Goh, K.-I., Cusick, M. E., Valle, D., Childs, B., Vidal, M., & Barabási, A.-L. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0701361104 · Cited by 3,242

Common loss-of-function variants of the epidermal barrier protein filaggrin are a major predisposing factor for atopic dermatitis

Palmer, C. N. A., Irvine, A. D., Terron-Kwiatkowski, A., Zhao, Y., Liao, H., Lee, S. P., Goudie, D. R., Sandilands, A., Campbell, L. E., Smith, F. J. D., et al. (2006) · Nature Genetics · doi:10.1038/ng1767 · Cited by 2,978

Genome-wide association defines more than 30 distinct susceptibility loci for Crohn's disease

the NIDDK IBD Genetics Consortium, Barrett, J. C., the Belgian-French IBD Consortium, the Wellcome Trust Case Control Consortium, Hansoul, S., Nicolae, D. L., Cho, J. H., Duerr, R. H., Rioux, J. D., Brant, S. R., et al. (2008) · Nature Genetics · doi:10.1038/ng.175 · Cited by 2,593

Heritability in the genomics era — concepts and misconceptions

Visscher, P. M., Hill, W. G., & Wray, N. R. (2008) · Nature Reviews Genetics · doi:10.1038/nrg2322 · Cited by 1,921

An Oncogene-Induced DNA Damage Model for Cancer Development

Halazonetis, T. D., Gorgoulis, V. G., & Bartek, J. (2008) · Science · doi:10.1126/science.1140735 · Cited by 1,851

Gene Expression and Genetic Variation in Response to Endoplasmic Reticulum Stress in Human Cells

Dombroski, B. A., Nayak, R. R., Ewens, K. G., Ankener, W., Cheung, V. G., & Spielman, R. S. (2010) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2010.03.017 · Cited by 113

Risk alleles for chronic hepatitis B are associated with decreased mRNA expression of HLA-DPA1 and HLA-DPB1 in normal human liver

OʼBrien, T. R., Kohaar, I., Pfeiffer, R. M., Maeder, D. L., Yeager, M., Schadt, E. E., & Prokunina‐Olsson, L. (2011) · Genes and Immunity · doi:10.1038/gene.2011.11 · Cited by 106

Dissecting the expression dynamics of RNA-binding proteins in posttranscriptional regulatory networks

Mittal, N., Roy, N., Babu, M. M., & Janga, S. C. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0906940106 · Cited by 103

From genes to function: the next challenge to understanding multiple sclerosis

Fugger, L. H., Friese, M. A., & Bell, J. I. (2009) · Nature reviews. Immunology · doi:10.1038/nri2554 · Cited by 105

Non-coding RNAs in homeostasis, disease and stress responses: an evolutionary perspective

Amaral, P., Dinger, M. E., & Mattick, J. S. (2013) · Briefings in Functional Genomics · doi:10.1093/bfgp/elt016 · Cited by 103

Expression quantitative trait loci analysis in plants

Druka, A., Potokina, E., Luo, Z., Jiang, N., Chen, X., Kearsey, M. J., & Waugh, R. (2009) · Plant Biotechnology Journal · doi:10.1111/j.1467-7652.2009.00460.x · Cited by 101

Identification of common genetic variants controlling transcript isoform variation in human whole blood

Zhang, X., Joehanes, R., Chen, B. H., Huan, T., Ying, S., Munson, P. J., Johnson, A. D., Levy, D. A., & O’Donnell, C. J. (2015) · Nature Genetics · doi:10.1038/ng.3220 · Cited by 99

Expression Quantitative Trait Loci: Replication, Tissue- and Sex-Specificity in Mice

van Nas, A., Ingram-Drake, L. A., Sinsheimer, J. S., Wang, S. S., Schadt, E. E., Drake, T. A., & Lusis, A. J. (2010) · Genetics · doi:10.1534/genetics.110.116087 · Cited by 98

Dynamic Patterns of Gene Expression Additivity and Regulatory Variation throughout Maize Development

Zhou, P., Hirsch, C. N., Briggs, S. P., & Springer, N. M. (2018) · Molecular Plant · doi:10.1016/j.molp.2018.12.015 · Cited by 94

Enhancers active in dopamine neurons are a primary link between genetic variation and neuropsychiatric disease

Dong, X., Liao, Z., Gritsch, D., Hadzhiev, Y., Bai, Y., Locascio, J. J., Guennewig, B., Liu, G., Blauwendraat, C., Wang, T., et al. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0223-0 · Cited by 97

The genome sequence of the spontaneously hypertensive rat: Analysis and functional significancePreprint

Atanur, S. S., Birol, İ., Guryev, V., Hirst, M., Hummel, O., Morrissey, C., Behmoaras, J. V., Fernández, X. M., Johnson, M. D., McLaren, W. M., et al. (2010) · Genome Research · doi:10.1101/gr.103499.109 · Cited by 97

Dissecting the genetics of the human transcriptome identifies novel trait-related trans -eQTLs and corroborates the regulatory relevance of non-protein coding loci

Kirsten, H., Al-Hasani, H., Holdt, L. M., Gross, A., Beutner, F., Krohn, K., Horn, K., Ahnert, P., Burkhardt, R., Reiche, K., et al. (2015) · Human Molecular Genetics · doi:10.1093/hmg/ddv194 · Cited by 93

Blood RNA profiling in a large cohort of multiple sclerosis patients and healthy controls

Nickles, D., Chen, H. P., Li, M. M., Khankhanian, P., Madireddy, L., Caillier, S. J., Santaniello, A., Cree, B., Pelletier, D., Hauser, S. L., et al. (2013) · Human Molecular Genetics · doi:10.1093/hmg/ddt267 · Cited by 95

Validating Genome-Wide Association Candidates Controlling Quantitative Variation in Nodulation

Curtin, S. J., Tiffin, P., Guhlin, J. G., Trujillo, D. I., Burghardt, L. T., Atkins, P., Baltes, N. J., Denny, R. L., Voytas, D. F., Stupar, R. M., et al. (2017) · PLANT PHYSIOLOGY · doi:10.1104/pp.16.01923 · Cited by 91

Predicting tissue-specific gene expression from whole blood transcriptome

Basu, M., Wang, K., Ruppin, E., & Hannenhalli, S. S. (2021) · Science Advances · doi:10.1126/sciadv.abd6991 · Cited by 93

Graph Representation Forecasting of Patient's Medical Conditions: Toward a Digital Twin

Barbiero, P., Viñas, R., & Lió, P. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.652907 · Cited by 92

SNPexp - A web tool for calculating and visualizing correlation between HapMap genotypes and gene expression levels

Holm, K., Melum, E., Franke, A., & Karlsen, T. H. (2010) · BMC Bioinformatics · doi:10.1186/1471-2105-11-600 · Cited by 88

CAUSEL: an epigenome- and genome-editing pipeline for establishing function of noncoding GWAS variants

Spisák, S., Lawrenson, K., Fu, Y., Csabai, I., Cottman, R. T., Seo, J.-H., Haiman, C. A., Han, Y., Lenci, R., Li, Q., et al. (2015) · Nature Medicine · doi:10.1038/nm.3975 · Cited by 88

Clinical reviews in allergy and immunology

Leung, D. Y. M., Ledford, D. K., Wechsler, M. E., Fulkerson, P. C., Bochner, B. S., Gauvreau, G. M., Gleich, G. J., Henkel, T., Kolbeck, R., Mathur, S. K., et al. (2012) · Cited by 87

Gene expression in African Americans, Puerto Ricans and Mexican Americans reveals ancestry-specific patterns of genetic architecture

Kachuri, L., Mak, A. C. Y., Hu, D., Eng, C. S., Huntsman, S., Elhawary, J. R., Gupta, N., Gabriel, S., Xiao, S., Keys, K. L., et al. (2023) · Nature Genetics · doi:10.1038/s41588-023-01377-z · Cited by 94

Integrative genetic and metabolite profiling analysis suggests altered phosphatidylcholine metabolism in asthma

Ried, J. S., Baurecht, H., Stückler, F., Krumsiek, J., Gieger, C., Heinrich, J., Kabesch, M., Prehn, C. P., Peters, A., Rodríguez, E., et al. (2013) · Allergy · doi:10.1111/all.12110 · Cited by 85

Congruence of Additive and Non-Additive Effects on Gene Expression Estimated from Pedigree and SNP Data

Powell, J. E., Henders, A. K., McRae, A. F., Kim, J., Hemani, G., Martin, N. G., Dermitzakis, E. T., Gibson, G. C., Montgomery, G. W., & Visscher, P. M. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003502 · Cited by 87

Interactions between age, sex, and hormones in experimental ischemic stroke

Liu, F., & McCullough, L. D. (2012) · Neurochemistry International · doi:10.1016/j.neuint.2012.10.003 · Cited by 86

Identification of cis-regulatory variation influencing protein abundance levels in human plasma

Lourdusamy, A., Newhouse, S., Lunnon, K., Proitsi, P., Powell, J. F., Hodges, A., Nelson, S. K., Stewart, A., Williams, S. A., Kłoszewska, I., et al. (2012) · Human Molecular Genetics · doi:10.1093/hmg/dds186 · Cited by 86

Genomic approaches for understanding the genetics of complex diseasePreprint

Lowe, W. L., & Reddy, T. E. (2015) · Genome Research · doi:10.1101/gr.190603.115 · Cited by 86

Mutations and epimutations in the origin of cancer

Peltomäki, P. (2011) · Experimental Cell Research · doi:10.1016/j.yexcr.2011.12.001 · Cited by 88

Genetic control of gene expression in whole blood and lymphoblastoid cell lines is largely independentPreprint

Powell, J. E., Henders, A. K., McRae, A. F., Wright, M. J., Martin, N. G., Dermitzakis, E. T., Montgomery, G. W., & Visscher, P. M. (2011) · Genome Research · doi:10.1101/gr.126540.111 · Cited by 85

Analysis of the 10q11 Cancer Risk Locus Implicates MSMB and NCOA4 in Human Prostate Tumorigenesis

Pomerantz, M. M., Shrestha, Y., Flavin, R., Regan, M. M., Penney, K. L., Mucci, L. A., Stampfer, M. J., Hunter, D. J., Chanock, S. J., Schafer, E. J., et al. (2010) · PLoS Genetics · doi:10.1371/journal.pgen.1001204 · Cited by 83

Genetics of hypertension: an assessment of progress in the spontaneously hypertensive rat

Doris, P. A. (2017) · Physiological Genomics · doi:10.1152/physiolgenomics.00065.2017 · Cited by 82

Allelic Variation at the 8q23.3 Colorectal Cancer Risk Locus Functions as a Cis-Acting Regulator of EIF3H

Pittman, A. M., Naranjo, S., Jalava, S. E., Twiss, P., Ma, Y. P., Olver, B. D., Lloyd, A., Vijayakrishnan, J., Qureshi, M., Broderick, P., et al. (2010) · PLoS Genetics · doi:10.1371/journal.pgen.1001126 · Cited by 82

Transcriptome analysis of porcine PBMCs after in vitro stimulation by LPS or PMA/ionomycin using an expression array targeting the pig immune response

Gao, Y., Flori, L., Lecardonnel, J., Esquerré, D., Hu, Z.-L., Teillaud, A., Lemonnier, G., Lefèvre, F., Oswald, I. P., & Rogel-Gaillard, C. (2010) · BMC Genomics · doi:10.1186/1471-2164-11-292 · Cited by 87

Comprehensive microRNA profiling in B-cells of human centenarians by massively parallel sequencing

Gombar, S., Jung, H. J., Dong, F., Calder, B. R., Atzmon, G., Barzilai, N., Tian, X., Pothof, J., Hoeijmakers, J. H. J., Campisi, J., et al. (2012) · BMC Genomics · doi:10.1186/1471-2164-13-353 · Cited by 81

Implications of Newly Identified Brain eQTL Genes and Their Interactors in Schizophrenia

Cai, L., Huang, T., Su, J., Zhang, X., Chen, W., Zhang, F., He, L., & Chou, K. (2018) · Molecular Therapy — Nucleic Acids · doi:10.1016/j.omtn.2018.05.026 · Cited by 79

Next generation sequencing technology and genomewide data analysis: Perspectives for retinal research

Chaitankar, V., Karakülah, G., Ratnapriya, R., Giuste, F., Brooks, M. J., & Swaroop, A. (2016) · Progress in Retinal and Eye Research · doi:10.1016/j.preteyeres.2016.06.001 · Cited by 86

Dosage compensation and gene expression on the mammalian X chromosome: one plus one does not always equal two

Prothero, K. E., Stahl, J. M., & Carrel, L. (2009) · Chromosome Research · doi:10.1007/s10577-009-9063-9 · Cited by 78

Identification of allele-specific alternative mRNA processing via transcriptome sequencing

Li, G., Bahn, J. H., Lee, J., Peng, G., Chen, Z., Nelson, S. F., & Xiao, X. G. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks280 · Cited by 78

eQTL Mapping Using RNA-seq Data

Sun, W., & Hu, Y. (2012) · Statistics in Biosciences · doi:10.1007/s12561-012-9068-3 · Cited by 82

Gene Expression in the Human Brain: The Current State of the Study of Specificity and Spatiotemporal Dynamics

Naumova, O. Y., Lee, M., Rychkov, S. Y., Vlasova, N. V., & Grigorenko, E. L. (2012) · Child Development · doi:10.1111/cdev.12014 · Cited by 81

Resolving the polymorphism-in-probe problem is critical for correct interpretation of expression QTL studies

Ramasamy, A., Trabzuni, D., Gibbs, J. R., Dillman, A., Hernandez, D. G., Arepalli, S., WALKER, R. E., Smith, C., Ilori, G. P., Shabalin, A. A., et al. (2013) · Nucleic Acids Research · doi:10.1093/nar/gkt069 · Cited by 77

Key considerations for measuring allelic expression on a genomic scale using high‐throughput sequencing

FONTANILLAS, P., LANDRY, C. R., WITTKOPP, P. J., RUSS, C., GRUBER, J. D., NUSBAUM, C., & HARTL, D. L. (2010) · Molecular Ecology · doi:10.1111/j.1365-294x.2010.04472.x · Cited by 76

Mechanisms of breast cancer metastasis

Nathanson, D. S., Detmar, M. J., Padera, T. P., Yates, L. R., Welch, D. R., Beadnell, T. C., Scheid, A. D., Wrenn, E. D., & Cheung, K. J. (2021) · Clinical & Experimental Metastasis · doi:10.1007/s10585-021-10090-2 · Cited by 82

Pregnancy, preeclampsia and maternal aging: From epidemiology to functional genomics

Miller, E. C., Wilczek, A., Bello, N. A., Tom, S. E., Wapner, R. J., & Suh, Y. (2021) · Ageing Research Reviews · doi:10.1016/j.arr.2021.101535 · Cited by 78

Expression quantitative trait locus analysis for translational medicine

Gibson, G. C., Powell, J. E., & Marigorta, U. M. (2015) · Genome Medicine · doi:10.1186/s13073-015-0186-7 · Cited by 77

A meta-analysis of gene expression quantitative trait loci in brain

Kim, Y., Xia, K., Tao, R., Giusti-Rodriguez, P., Vladimirov, V, van den Oord, E., & Sullivan, P. F. (2014) · Translational Psychiatry · doi:10.1038/tp.2014.96 · Cited by 73

The Role of Hypoxia-Inducible Factor-1 Alpha in Renal Disease

Liu, H., Li, Y., & Xiong, J. (2022) · Molecules · doi:10.3390/molecules27217318 · Cited by 73

Gene expression studies in autism: Moving from the genome to the transcriptome and beyond

Voineagu, I. (2012) · Neurobiology of Disease · doi:10.1016/j.nbd.2011.07.017 · Cited by 72

Bayesian Detection of Expression Quantitative Trait Loci Hot Spots

Bottolo, L., Petretto, E. G., Blankenberg, S., Cambien, F., Cook, S. A., Tiret, L., & Richardson, S. T. (2011) · Genetics · doi:10.1534/genetics.111.131425 · Cited by 71

High-Throughput Genetic Mapping of Mutants via Quantitative Single Nucleotide Polymorphism Typing

Liu, S., Chen, H. D., Makarevitch, I., Shirmer, R., Emrich, S., Dietrich, C. R., Barbazuk, W. B., Springer, N. M., & Schnable, P. S. (2009) · Genetics · doi:10.1534/genetics.109.107557 · Cited by 73

Translational Research in Cancer Genetics: The Road Less Traveled

Schully, S. D., Benedicto, C. B., Gillanders, E. M., Wang, S., & Khoury, M. J. (2009) · Public Health Genomics · doi:10.1159/000272897 · Cited by 70

Bayesian Genetic Colocalization Test of Two Traits Using coloc

Rasooly, D., Peloso, G. M., & Giambartolomei, C. (2022) · Current Protocols · doi:10.1002/cpz1.627 · Cited by 70

Predicting bull fertility using genomic data and biological information

Abdollahi-Arpanahi, R., Morota, G., & Peñagaricano, F. (2017) · Journal of Dairy Science · doi:10.3168/jds.2017-13288 · Cited by 73

Regulatory Variation Within and Between Species

Zheng, W., Gianoulis, T. A., Karczewski, K. J., Zhao, H., & Snyder, M. P. (2011) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev-genom-082908-150139 · Cited by 72

The Role of Transcriptional Regulation in Hybrid Vigor

Botet, R., & Keurentjes, J. J. B. (2020) · Frontiers in Plant Science · doi:10.3389/fpls.2020.00410 · Cited by 67

Pervasive haplotypic variation in the spliceo-transcriptome of the human major histocompatibility complexPreprint

Vandiedonck, C., Taylor, M. S., Lockstone, H. E., Plant, K., Taylor, J. M., Durrant, C., Broxholme, J., Fairfax, B. P., & Knight, J. C. (2011) · Genome Research · doi:10.1101/gr.116681.110 · Cited by 70

DNA methylation: a potential mediator between air pollution and metabolic syndrome

Poursafa, P., Kamali, Z., Fraszczyk, E., Boezen, H. M., Vaez, A., & Snieder, H. (2022) · Clinical Epigenetics · doi:10.1186/s13148-022-01301-y · Cited by 68

Integrated Enrichment Analysis of Variants and Pathways in Genome-Wide Association Studies Indicates Central Role for IL-2 Signaling Genes in Type 1 Diabetes, and Cytokine Signaling Genes in Crohn's Disease

Carbonetto, P. S., & Stephens, M. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003770 · Cited by 68

A Robust Approach to Identifying Tissue-Specific Gene Expression Regulatory Variants Using Personalized Human Induced Pluripotent Stem Cells

Lee, J., Park, I., Gao, Y., Li, J. B., Li, Z., Daley, G. Q., Zhang, K., & Church, G. M. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000718 · Cited by 67

Genetics of coronary artery disease: Genome-wide association studies and beyond

Prins, B. P., Lagou, V., Asselbergs, F. W., Snieder, H., & Fu, J. (2012) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2012.05.015 · Cited by 69

Risk SNP-induced lncRNA-SLCC1 drives colorectal cancer through activating glycolysis signaling

Yan, T., Shen, C., Jiang, P., Yu, C., Guo, F., Tian, X., Zhu, X., Lu, S., Han, B., Zhong, M., et al. (2021) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-020-00446-7 · Cited by 65

Coxsackie and Adenovirus Receptor Is a Modifier of Cardiac Conduction and Arrhythmia Vulnerability in the Setting of Myocardial Ischemia

Marsman, R. F. J., Bezzina, C. R., Freiberg, F., Verkerk, A. O., Adriaens, M. E., Podliesna, S., Chen, C., Purfürst, B., Spallek, B., Koopmann, T. T., et al. (2013) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2013.10.062 · Cited by 65

Allelic imbalance sequencing reveals that single-nucleotide polymorphisms frequently alter microRNA-directed repression

Kim, J., & Bartel, D. P. (2009) · Nature Biotechnology · doi:10.1038/nbt.1540 · Cited by 65

Quantifying the effect of sequence variation on regulatory interactions

Manke, T., Heinig, M., & Vingron, M. (2010) · Human Mutation · doi:10.1002/humu.21209 · Cited by 65

Expression QTL analysis of top loci from GWAS meta-analysis highlights additional schizophrenia candidate genes

de Jong, S., van Eijk, K. R., Zeegers, D. W. L. H., Strengman, E., Janson, E., Veldink, J. H., van den Berg, L. H., Cahn, W., Kahn, R. S., Boks, M. P., et al. (2012) · European Journal of Human Genetics · doi:10.1038/ejhg.2012.38 · Cited by 64

Integrating expression profiling and whole-genome association for dissection of fat traits in a porcine model

Ponsuksili, S., Muráni, E., Brand, B., Schwerin, M., & Wimmers, K. (2011) · Journal of Lipid Research · doi:10.1194/jlr.m013342 · Cited by 67

Challenges and progress in interpretation of non-coding genetic variants associated with human disease

Zhu, Y., Tazearslan, C., & Suh, Y. (2017) · Experimental Biology and Medicine · doi:10.1177/1535370217713750 · Cited by 68

Convergence of linkage, gene expression and association data demonstrates the influence of the RAR-related orphan receptor alpha (RORA) gene on neovascular AMD: A systems biology based approach

Silveira, A. C., Morrison, M. A., Ji, F., Xu, H., Reinecke, J. B., Adams, S. M., Arneberg, T. M., Janssian, M., Lee, J., Yuan, Y., et al. (2009) · Vision Research · doi:10.1016/j.visres.2009.09.016 · Cited by 64

Expression estimation and eQTL mapping for HLA genes with a personalized pipeline

Aguiar, V. R. C., Cesar, J. E. D. S., Delaneau, O., Dermitzakis, E. T., & Meyer, D. (2019) · PLoS Genetics · doi:10.1371/journal.pgen.1008091 · Cited by 64

Gene Expression and Genetic Variation Data Implicate PCLO in Bipolar Disorder

Choi, K. H., Higgs, B. W., Wendland, J. R., Song, J. C., McMahon, F. J., & Webster, M. J. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.09.042 · Cited by 65

An NKG2D-Mediated Human Lymphoid Stress Surveillance Response with High Interindividual Variation

Shafi, S., Vantourout, P., Wallace, G. R., Antoun, A., Vaughan, R., Stanford, M. R., & Hayday, A. (2011) · Science Translational Medicine · doi:10.1126/scitranslmed.3002922 · Cited by 64

A transcriptome-wide association study identifies susceptibility genes for Parkinson’s disease

Yao, S., Zhang, X., Zou, S.-C., Zhu, Y. X., Li, B., Kuang, W., Guo, Y., Li, X., Li, L., & Wang, X. (2021) · npj Parkinson s Disease · doi:10.1038/s41531-021-00221-7 · Cited by 65

Genome-Wide Association Study of Genetic Predictors of Overall Survival for Non–Small Cell Lung Cancer in Never Smokers

Wu, X., Wang, L., Ye, Y., Aakre, J. A., Pu, X., Chang, G.-C., Yang, P., Roth, J. A., Marks, R. S., Lippman, S. M., et al. (2013) · Cancer Research · doi:10.1158/0008-5472.can-12-4033 · Cited by 61

A transcriptome-wide association study based on 27 tissues identifies 106 genes potentially relevant for disease pathology in age-related macular degeneration

Strunz, T., Lauwen, S., Kiel, C., International AMD Genomics Consortium (IAMDGC), Fritsche, L. G., Igl, W., Bailey, J. N. C., Grassmann, F., Sengupta, S., Bragg-Gresham, J. L., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-58510-9 · Cited by 60

A mega-analysis of expression quantitative trait loci (eQTL) provides insight into the regulatory architecture of gene expression variation in liver

Strunz, T., Graßmann, F., Gayán, J., Nahkuri, S., Souza-Costa, D. C., Maugeais, C., Fauser, S., Nogoceke, E., & Weber, B. H. F. (2018) · Scientific Reports · doi:10.1038/s41598-018-24219-z · Cited by 62

Self‐Immolative Activation of β‐Galactosidase‐Responsive Probes for In Vivo MR Imaging in Mouse Models

Lilley, L. M., Kamper, S. G., Caldwell, M. A., Chia, Z. K., Ballweg, D. M., Vistain, L. F., Krimmel‐Morrison, J. D., Mills, T. A., MacRenaris, K. W., Lee, P., et al. (2019) · Angewandte Chemie International Edition · doi:10.1002/anie.201909933 · Cited by 60

The MHC in the era of next-generation sequencing: Implications for bridging structure with function

Petersdorf, E. W., & Ó’hUigín, C. (2018) · Human Immunology · doi:10.1016/j.humimm.2018.10.002 · Cited by 61

Transcriptomic and genetic analyses reveal potential causal drivers for intractable partial epilepsy

Guelfi, S., Botía, J. A., Thom, M., Ramasamy, A., Perona, M., Stanyer, L., Martinian, L., Trabzuni, D., Smith, C., WALKER, R. E., et al. (2019) · Brain · doi:10.1093/brain/awz074 · Cited by 60

Genetic Dissection of the Drosophila melanogaster Female Head Transcriptome Reveals Widespread Allelic Heterogeneity

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Susceptibility to DNA Damage as a Molecular Mechanism for Non-Syndromic Cleft Lip and Palate

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