Approaches and advances in the genetic causes of autoimmune disease and their implications

UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age

Sudlow, C., Gallacher, J., Allen, N., Beral, V., Burton, P., Danesh, J., Downey, P., Elliott, P., Green, J., Landray, M., et al. (2015) · PLOS Medicine · doi:10.1371/journal.pmed.1001779 · Cited by 12,728 · see citing works

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 · see citing works

A 3D Map of the Human Genome at Kilobase Resolution Reveals Principles of Chromatin Looping

Rao, S. S. P., Huntley, M. H., Durand, N. C., Stamenova, E. K., Bochkov, I. D., Robinson, J. T., Sanborn, A. L., Machol, I., Omer, A. D., Lander, E. S., et al. (2014) · Cell · doi:10.1016/j.cell.2014.11.021 · Cited by 9,212 · see citing works

Comprehensive Mapping of Long-Range Interactions Reveals Folding Principles of the Human Genome

Lieberman-Aiden, E., van Berkum, N. L., Williams, L., Imakaev, M., Ragoczy, T., Telling, A., Amit, I., Lajoie, B. R., Sabo, P. J., Dorschner, M. O., et al. (2009) · Science · doi:10.1126/science.1181369 · Cited by 8,898 · see citing works

Diversity, stability and resilience of the human gut microbiota

Lozupone, C. A., Stombaugh, J. I., Gordon, J. I., Jansson, J. K., & Knight, R. (2012) · Nature · doi:10.1038/nature11550 · Cited by 5,533 · see citing works

10 Years of GWAS Discovery: Biology, Function, and Translation

Visscher, P. M., Wray, N. R., Zhang, Q., Sklar, P., McCarthy, M. I., Brown, M. A., & Yang, J. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.06.005 · Cited by 3,719 · see citing works

Systematic Localization of Common Disease-Associated Variation in Regulatory DNA

Maurano, M. T., Humbert, R., Rynes, E., Thurman, R. E., Haugen, E., Wang, H., Reynolds, A. P., Sandstrom, R., Qu, H., Brody, J., et al. (2012) · Science · doi:10.1126/science.1222794 · Cited by 3,716 · see citing works

Super-enhancers in the control of cell identity and disease

Hnisz, D., Abraham, B. J., Lee, T. I., Lau, A., Saint-André, V., Sigova, A. A., Hoke, H. A., & Young, R. A. (2013) · Cell · doi:10.1016/j.cell.2013.09.053 · Cited by 3,662 · see citing works

Capturing Chromosome Conformation

Dekker, J., Rippe, K., Dekker, M., & Kleckner, N. (2002) · Science · doi:10.1126/science.1067799 · Cited by 3,652 · see citing works

Genome-wide efficient mixed-model analysis for association studies

Zhou, X., & Stephens, M. (2012) · Nature Genetics · doi:10.1038/ng.2310 · Cited by 3,627 · see citing works

Environment dominates over host genetics in shaping human gut microbiota

Rothschild, D., Weissbrod, O., Barkan, E., Kurilshikov, A., Korem, T., Zeevi, D., Costea, P. I., Godneva, A., Kalka, I. N., Bar, N., et al. (2018) · Nature · doi:10.1038/nature25973 · Cited by 2,859 · see citing works

Orienting the causal relationship between imprecisely measured traits using GWAS summary data.

Hemani, G., Tilling, K., & Davey Smith, G. (2017) · PLoS Genetics · doi:10.1371/journal.pgen.1007081 · Cited by 2,607 · see citing works

Association analyses identify 38 susceptibility loci for inflammatory bowel disease and highlight shared genetic risk across populations

Liu, J. Z., van Sommeren, S., Huang, H., Ng, S. C., Alberts, R., Takahashi, A., Ripke, S., Lee, J. C., Jostins, L., Shah, T., et al. (2015) · Nature Genetics · doi:10.1038/ng.3359 · Cited by 2,603 · see citing works

An atlas of active enhancers across human cell types and tissues

The FANTOM Consortium, Andersson, R., Gebhard, C., Miguel-Escalada, I., Hoof, I., Bornholdt, J., Boyd, M., Chen, Y., Zhao, X., Schmidl, C., et al. (2014) · Nature · doi:10.1038/nature12787 · Cited by 2,550 · see citing works

The ENCODE (ENCyclopedia Of DNA Elements) Project

(2004) · Science · doi:10.1126/science.1105136 · Cited by 2,390 · see citing works

Genetics of rheumatoid arthritis contributes to biology and drug discovery

the RACI consortium, Okada, Y., the GARNET consortium, Wu, D., Trynka, G., Raj, T., Terao, C., Ikari, K., Kochi, Y., Ohmura, K., et al. (2014) · Nature · doi:10.1038/nature12873 · Cited by 2,310 · see citing works

Genomic atlas of the human plasma proteome

Sun, B. B., Maranville, J. C., Peters, J. E., Stacey, D., Staley, J. R., Blackshaw, J., Burgess, S., Jiang, T., Paige, E., Surendran, P., et al. (2018) · Nature · doi:10.1038/s41586-018-0175-2 · Cited by 2,268 · see citing works

Role of the gut microbiota in immunity and inflammatory disease

Kamada, N., Seo, S.-U., Chen, G. Y., & Núñez, G. (2013) · Nature reviews. Immunology · doi:10.1038/nri3430 · Cited by 2,256 · see citing works

HLA-DQβ gene contributes to susceptibility and resistance to insulin-dependent diabetes mellitus

Todd, J. A., Bell, J. I., & McDevitt, H. O. (1987) · Nature · doi:10.1038/329599a0 · Cited by 2,046 · see citing works

Genetic and epigenetic fine mapping of causal autoimmune disease variants

Farh, K. K.-H., Marson, A., Zhu, J., Kleinewietfeld, M., Housley, W. J., Beik, S., Shoresh, N., Whitton, H., Ryan, R. J. H., Shishkin, A. A., et al. (2015) · Nature · doi:10.1038/nature13835 · Cited by 1,956 · see citing works

The NIH Roadmap Epigenomics Mapping Consortium

Bernstein, B. E., Stamatoyannopoulos, J. A., Costello, J. F., Ren, B., Milosavljevic, A., Meissner, A., Kellis, M., Marra, M. A., Beaudet, A. L., Ecker, J. R., et al. (2010) · Nature Biotechnology · doi:10.1038/nbt1010-1045 · Cited by 1,892 · see citing works

The support of human genetic evidence for approved drug indications

Nelson, M. R., Tipney, H., Painter, J. L., Shen, J., Nicoletti, P., Shen, Y., Floratos, A., Sham, P. C., Li, M. J., Wang, J., et al. (2015) · Nature Genetics · doi:10.1038/ng.3314 · Cited by 1,666 · see citing works

Single-Cell Transcriptome Profiling of Human Pancreatic Islets in Health and Type 2 Diabetes

Segerstolpe, Å., Palasantza, A., Eliasson, P., Andersson, E.-M., Andréasson, A.-C., Sun, X., Picelli, S., Sabirsh, A., Clausen, M., Bjursell, M. K., et al. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.08.020 · Cited by 1,550 · see citing works

Genome-wide association study implicates immune activation of multiple integrin genes in inflammatory bowel disease

de Lange, K. M., Moutsianas, L., Lee, J. C., Lamb, C. A., Luo, Y., Kennedy, N. A., Jostins, L., Rice, D. L., Gutierrez-Achury, J., Ji, S.-G., et al. (2017) · Nature Genetics · doi:10.1038/ng.3760 · Cited by 1,445 · see citing works

A gut bacterial pathway metabolizes aromatic amino acids into nine circulating metabolites

Dodd, D., Spitzer, M. H., Van Treuren, W., Merrill, B. D., Hryckowian, A. J., Higginbottom, S. K., Le, A., Cowan, T. M., Nolan, G. P., Fischbach, M. A., et al. (2017) · Nature · doi:10.1038/nature24661 · Cited by 1,425 · see citing works

Multiscale 3D Genome Rewiring during Mouse Neural Development

Bonev, B., Mendelson Cohen, N., Szabo, Q., Fritsch, L., Papadopoulos, G. L., Lubling, Y., Xu, X., Lv, X., Hugnot, J.-P., Tanay, A., et al. (2017) · Cell · doi:10.1016/j.cell.2017.09.043 · Cited by 1,338 · see citing works

Obesity-associated variants within FTO form long-range functional connections with IRX3

Smemo, S., Tena, J. J., Kim, K.-H., Gamazon, E. R., Sakabe, N. J., Gómez-Marín, C., Aneas, I., Credidio, F. L., Sobreira, D. R., Wasserman, N. F., et al. (2014) · Nature · doi:10.1038/nature13138 · Cited by 1,219 · see citing works

Attachment of Helicobacter pylori to Human Gastric Epithelium Mediated by Blood Group Antigens

Borén, T., Falk, P. G., Roth, K. A., Larson, G., & Normark, S. J. (1993) · Science · doi:10.1126/science.8018146 · Cited by 1,185 · see citing works

The Dynamics of the Human Infant Gut Microbiome in Development and in Progression toward Type 1 Diabetes

Kostic, A. D., Gevers, D., Siljander, H., Vatanen, T., Hyötyläinen, T., Hämäläinen, A., Peet, A., Tillmann, V., Pöhö, P., Mattila, I. M., et al. (2015) · Cell Host & Microbe · doi:10.1016/j.chom.2015.01.001 · Cited by 1,165 · see citing works

Genome-wide association studies: theoretical and practical concerns

Wang, W. Y. S., Barratt, B. J., Clayton, D. G., & Todd, J. A. (2005) · Nature Reviews Genetics · doi:10.1038/nrg1522 · Cited by 1,159 · see citing works

Human susceptibility and resistance to Norwalk virus infection

Lindesmith, L. C., Moe, C. L., Marionneau‐Lambot, S., Ruvoën‐Clouet, N., Jiang, X., Lindblad, L., Stewart, P. W., Pendu, J. L., & Baric, R. S. (2003) · Nature Medicine · doi:10.1038/nm860 · Cited by 1,119 · see citing works

Interleukin-2 and Regulatory T Cells in Graft-versus-Host Disease

Koreth, J., Matsuoka, K., Kim, H. T., McDonough, S. M., Bindra, B., Alyea, E. P., Armand, P. A., Cutler, C. S., Ho, V. T., Treister, N. S., et al. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1108188 · Cited by 1,118 · see citing works

Lineage-Specific Genome Architecture Links Enhancers and Non-coding Disease Variants to Target Gene Promoters

Javierre, B. M., Burren, O. S., Wilder, S. P., Kreuzhuber, R., Hill, S. M., Sewitz, S., Cairns, J., Wingett, S. W., Várnai, C., Thiecke, M. J., et al. (2016) · Cell · doi:10.1016/j.cell.2016.09.037 · Cited by 1,046 · see citing works

The nature of nurture: Effects of parental genotypes

Kong, A., Thorleifsson, G., Frigge, M. L., Vilhjalmsson, B. J., Young, A. I., Thorgeirsson, T. E., Benonisdottir, S., Oddsson, A., Halldorsson, B. V., Masson, G., et al. (2018) · Science · doi:10.1126/science.aan6877 · Cited by 949 · see citing works

Ensembl 2014

Flicek, P., Amode, M., Barrell, D., Beal, K., Billis, K., Brent, S., Carvalho-Silva, D., Clapham, P., Coates, G., Fitzgerald, S., et al. (2013) · Nucleic Acids Res. · doi:10.1093/nar/gkt1196 · Cited by 926 · see citing works

Two-sample Mendelian randomization: avoiding the downsides of a powerful, widely applicable but potentially fallible technique.

Hartwig, F. P., Davies, N. M., Hemani, G., & Davey Smith, G. (2016) · International Journal of Epidemiology · doi:10.1093/ije/dyx028 · Cited by 860 · see citing works

FINEMAP: efficient variable selection using summary data from genome-wide association studies

Benner, C., Spencer, C. C. A., Havulinna, A. S., Salomaa, V., Ripatti, S., & Pirinen, M. (2016) · Bioinformatics · doi:10.1093/bioinformatics/btw018 · Cited by 815 · see citing works

Oncostatin M drives intestinal inflammation and predicts response to tumor necrosis factor–neutralizing therapy in patients with inflammatory bowel disease

Oxford IBD Cohort Investigators, West, N. R., Hegazy, A. N., Owens, B. M. J., Bullers, S. J., Linggi, B. E., Buonocore, S. M., Coccia, M., Görtz, D., This, S., et al. (2017) · Nature Medicine · doi:10.1038/nm.4307 · Cited by 812 · see citing works

Gut Microbiome Metagenomics Analysis Suggests a Functional Model for the Development of Autoimmunity for Type 1 Diabetes

Brown, C. T., Davis-Richardson, A. G., Giongo, A., Gano, K. A., Crabb, D. B., Mukherjee, N., Casella, G., Drew, J. C., Ilonen, J., Knip, M., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0025792 · Cited by 778 · see citing works

Major Histocompatibility Complex Genomics and Human Disease

Trowsdale, J., & Knight, J. C. (2013) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev-genom-091212-153455 · Cited by 761 · see citing works

Regulatory T-Cell Responses to Low-Dose Interleukin-2 in HCV-Induced Vasculitis

Saadoun, D., Rosenzwajg, M., Joly, F., Six, A., Carrat, F., Thibault, V., Sène, D., Cacoub, P., & Klatzmann, D. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1105143 · Cited by 758 · see citing works

Fine mapping of type 1 diabetes susceptibility loci and evidence for colocalization of causal variants with lymphoid gene enhancers

Önengüt-Gümüşcü, S., Chen, W., Burren, O. S., Cooper, N. J., Quinlan, A. R., Mychaleckyj, J. C., Farber, E., Bonnie, J. K., Szpak, M., Schofield, E. C., et al. (2015) · Nature Genetics · doi:10.1038/ng.3245 · Cited by 675 · see citing works

DNase I sensitivity QTLs are a major determinant of human expression variation

Degner, J. F., Pai, A. A., Piqué-Regi, R., Veyrieras, J., Gaffney, D. J., Pickrell, J. K., Leon, S. D., Michelini, K., Lewellen, N., Crawford, G. E., et al. (2012) · Nature · doi:10.1038/nature10808 · Cited by 633 · see citing works

Gut Microbiota Diversity and Human Diseases: Should We Reintroduce Key Predators in Our Ecosystem?

Mosca, A., Leclerc, M., & Hugot, J. P. (2016) · Frontiers in Microbiology · doi:10.3389/fmicb.2016.00455 · Cited by 612 · see citing works

Fine-mapping inflammatory bowel disease loci to single-variant resolution

International Inflammatory Bowel Disease Genetics Consortium, Huang, H., Fang, M., Jostins, L., Umićević Mirkov, M., Boucher, G., Anderson, C. A., Andersen, V., Cleynen, I., Cortes, A., et al. (2017) · Nature · doi:10.1038/nature22969 · Cited by 611 · see citing works

Genome-wide genetic data on ~500,000 UK Biobank participantsPreprint

Bycroft, C., Freeman, C., Petkova, D., Band, G., Elliott, L. T., Sharp, K., Motyer, A., Vukcevic, D., Delaneau, O., O’Connell, J., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/166298 · Cited by 606 · see citing works

Low-dose interleukin-2 treatment selectively modulates CD4+ T cell subsets in patients with systemic lupus erythematosus

He, J., Zhang, X., Wei, Y., Sun, X., Chen, Y., Deng, J., Jin, Y., Gan, Y., Hu, X., Jia, R., et al. (2016) · Nature Medicine · doi:10.1038/nm.4148 · Cited by 573 · see citing works

Sequence and Expression of a Candidate for the Human Secretor Blood Group α(1,2)Fucosyltransferase Gene (FUT2)

Kelly, R. J., Rouquier, S., Giorgi, D., Lennon, G. G., & Lowe, J. B. (1995) · Journal of Biological Chemistry · doi:10.1074/jbc.270.9.4640 · Cited by 570 · see citing works

The MHC locus and genetic susceptibility to autoimmune and infectious diseases

Matzaraki, V., Kumar, V., Wijmenga, C., & Zhernakova, A. (2017) · Genome biology · doi:10.1186/s13059-017-1207-1 · Cited by 566 · see citing works

Fecal Microbiota Composition Differs Between Children With β-Cell Autoimmunity and Those Without

de Goffau, M. C., Luopajärvi, K., Knip, M., Ilonen, J., Ruohtula, T., Härkönen, T., Orivuori, L., Hakala, S., Welling, G. W., Harmsen, H. J. M., et al. (2012) · Diabetes · doi:10.2337/db12-0526 · Cited by 563 · see citing works

Shared genetic origin of asthma, hay fever and eczema elucidates allergic disease biology

23andMe Research Team, Ferreira, M. A., collaborators, A., BIOS consortium, Study, L. C., Vonk, J. M., Baurecht, H., Marenholz, I., Tian, C., Hoffman, J. D., et al. (2017) · Nature Genetics · doi:10.1038/ng.3985 · Cited by 550 · see citing works

Joint Analysis of Functional Genomic Data and Genome-wide Association Studies of 18 Human Traits

Pickrell, J. K. (2014) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2014.03.004 · Cited by 520 · see citing works

Human genetic variation and the gut microbiome in disease

Hall, A. B., Tolonen, A. C., & Xavier, R. J. (2017) · Nature Reviews Genetics · doi:10.1038/nrg.2017.63 · Cited by 517 · see citing works

Enhancer connectome in primary human cells identifies target genes of disease-associated DNA elements

Mumbach, M. R., Satpathy, A. T., Boyle, E. A., Dai, C., Gowen, B. G., Cho, S. W., Nguyen, M. L., Rubin, A. J., Granja, J. M., Kazane, K. R., et al. (2017) · Nature Genetics · doi:10.1038/ng.3963 · Cited by 490 · see citing works

Integrating Functional Data to Prioritize Causal Variants in Statistical Fine-Mapping Studies

Kichaev, G., Yang, W.-Y., Lindström, S., Hormozdiari, F., Eskin, E., Price, A. L., Kraft, P. L., & Paşaniuc, B. (2014) · PLoS Genetics · doi:10.1371/journal.pgen.1004722 · Cited by 476 · see citing works

Web-Based, Participant-Driven Studies Yield Novel Genetic Associations for Common Traits

Eriksson, N., Macpherson, J. M., Tung, J. Y., Hon, L., Naughton, B., Saxonov, S., Avey, L., Wojcicki, A., Pe’er, I., & Mountain, J. L. (2010) · PLoS Genetics · doi:10.1371/journal.pgen.1000993 · Cited by 475 · see citing works

Analysis of hundreds of cis-regulatory landscapes at high resolution in a single, high-throughput experiment

Hughes, J. R., Roberts, N., McGowan, S., Hay, D., Giannoulatou, E., Lynch, M., De Gobbi, M., Taylor, S., Gibbons, R., & Higgs, D. R. (2014) · Nature Genetics · doi:10.1038/ng.2871 · Cited by 461 · see citing works

Vitamin D and Risk of Multiple Sclerosis: A Mendelian Randomization Study

Mokry, L. E., Ross, S., Ahmad, O. S., Forgetta, V., Smith, G. D., Leong, A., Greenwood, C. M. T., Thanassoulis, G., & Richards, J. B. (2015) · PLOS Medicine · doi:10.1371/journal.pmed.1001866 · Cited by 445 · see citing works

Genetic architecture: the shape of the genetic contribution to human traits and disease

Timpson, N. J., Greenwood, C. M. T., Soranzo, N., Lawson, D. J., & Richards, J. B. (2018) · Nature Reviews Genetics · doi:10.1038/nrg.2017.101 · Cited by 434 · see citing works

Insulated Neighborhoods: Structural and Functional Units of Mammalian Gene Control

Hnisz, D., Day, D. S., & Young, R. A. (2016) · Cell · doi:10.1016/j.cell.2016.10.024 · Cited by 420 · see citing works

Genetic Predisposition to an Impaired Metabolism of the Branched-Chain Amino Acids and Risk of Type 2 Diabetes: A Mendelian Randomisation Analysis

Lotta, L. A., Scott, R. A., Sharp, S. J., Burgess, S., Luan, J., Tillin, T., Schmidt, A. F., Imamura, F., Stewart, I. D., Perry, J. R. B., et al. (2016) · PLOS Medicine · doi:10.1371/journal.pmed.1002179 · Cited by 417 · see citing works

Frequency and phenotype of type 1 diabetes in the first six decades of life: a cross-sectional, genetically stratified survival analysis from UK Biobank

Thomas, N. J., Jones, S. E., Weedon, M. N., Shields, B. M., Oram, R. A., & Hattersley, A. T. (2018) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(17)30362-5 · Cited by 417 · see citing works

The role of infections in autoimmune disease

Ercolini, A. M., & Miller, S. D. (2008) · Clinical & Experimental Immunology · doi:10.1111/j.1365-2249.2008.03834.x · Cited by 413 · see citing works

Genome-wide association and HLA region fine-mapping studies identify susceptibility loci for multiple common infections

Tian, C., Hromatka, B. S., Kiefer, A. K., Eriksson, N., Noble, S. M., Tung, J. Y., & Hinds, D. A. (2017) · Nature Communications · doi:10.1038/s41467-017-00257-5 · Cited by 411 · see citing works

Single-cell RNA sequencing identifies celltype-specific cis-eQTLs and co-expression QTLs

Study, L. C., van der Wijst, M. G. P., BIOS Consortium, Brugge, H., de Vries, D. H., Deelen, P., Swertz, M. A., & Franke, L. (2018) · Nature Genetics · doi:10.1038/s41588-018-0089-9 · Cited by 399 · see citing works

Use of genome-wide association studies for drug repositioning

Sanséau, P., Agarwal, P., Barnes, M. R., Pastinen, T., Richards, J. B., Cardon, L. R., & Mooser, V. (2012) · Nature Biotechnology · doi:10.1038/nbt.2151 · Cited by 387 · see citing works

Fucosyltransferase 2 (FUT2) non-secretor status is associated with Crohn's disease

McGovern, D. P. B., Jones, M. R., Taylor, K. D., Marciante, K. D., Yan, X., Dubinsky, M. C., Ippoliti, A., Vasiliauskas, E. A., Berel, D., Derkowski, C. A., et al. (2010) · Human Molecular Genetics · doi:10.1093/hmg/ddq248 · Cited by 379 · see citing works

BLUEPRINT to decode the epigenetic signature written in blood

Adams, D., Altucci, L., Antonarakis, S., Ballesteros, J., Beck, S., Bird, A., Bock, C., Boehm, B., Campo, E., Caricasole, A., et al. (2012) · Nature Biotechnology · doi:10.1038/nbt.2153 · Cited by 374 · see citing works

Super-enhancers delineate disease-associated regulatory nodes in T cells

Vahedi, G., Kanno, Y., Furumoto, Y., Jiang, K., Parker, S. C. J., Erdos, M. R., Davis, S. R., Roychoudhuri, R., Restifo, N. P., Gadina, M., et al. (2015) · Nature · doi:10.1038/nature14154 · Cited by 369 · see citing works

Hormonal Contraception and the Risk of HIV Acquisition: An Individual Participant Data Meta-analysis

MORRISON, C. S., Chen, P., Kwok, C., Baeten, J. M., Brown, J., Crook, A. M., Damme, L. V., Delany‐Moretlwe, S., Francis, S. C., Friedland, B., et al. (2015) · PLoS Medicine · doi:10.1371/journal.pmed.1001778 · Cited by 349 · see citing works

Colonic mucosa-associated microbiota is influenced by an interaction of Crohn disease and FUT2 ( Secretor ) genotype

Rausch, P., Rehman, A., Künzel, S., Häsler, R., Ott, S. J., Schreiber, S., Rosenstiel, P. C., Franke, A., & Baines, J. F. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1106408108 · Cited by 348 · see citing works

Shared genetic effects on chromatin and gene expression indicate a role for enhancer priming in immune response

HIPSCI Consortium, Alasoo, K., Rodrigues, J., Mukhopadhyay, S., Knights, A. J., Mann, A. L., Kundu, K., Hale, C., Dougan, G., & Gaffney, D. J. (2018) · Nature Genetics · doi:10.1038/s41588-018-0046-7 · Cited by 338 · see citing works

Functional IL6R 358Ala Allele Impairs Classical IL-6 Receptor Signaling and Influences Risk of Diverse Inflammatory Diseases

Ferreira, R. C., Freitag, D. F., Cutler, A. J., Howson, J. M. M., Rainbow, D. B., Smyth, D. J., Kaptoge, S., Clarke, P., Boreham, C., Coulson, R. M., et al. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003444 · Cited by 316 · see citing works

ChIA-PET tool for comprehensive chromatin interaction analysis with paired-end tag sequencing

Li, G., Fullwood, M. J., Han, X., Mulawadi, F. H., Velkov, S., Vega, V. B., Ariyaratne, P. N., Mohamed, Y. B., Ooi, H.-S., Tennakoon, C., et al. (2010) · Genome biology · doi:10.1186/gb-2010-11-2-r22 · Cited by 316 · see citing works

A Type I Interferon Transcriptional Signature Precedes Autoimmunity in Children Genetically at Risk for Type 1 Diabetes

Ferreira, R. C., Guo, H., Coulson, R., Smyth, D. J., Pękalski, M. Ł., Burren, O. S., Cutler, A. J., Doecke, J. D., Flint, S. M., McKinney, E. F., et al. (2014) · Diabetes · doi:10.2337/db13-1777 · Cited by 313 · see citing works

Mendelian randomization: where are we now and where are we going?

Burgess, S., Timpson, N. J., Ebrahim, S. B. J., & Smith, G. D. (2015) · International Journal of Epidemiology · doi:10.1093/ije/dyv108 · Cited by 308 · see citing works

Discovery of stimulation-responsive immune enhancers with CRISPR activation

Simeonov, D. R., Gowen, B. G., Boontanrart, M., Roth, T. L., Gagnon, J. D., Mumbach, M. R., Satpathy, A. T., Lee, Y., Bray, N. L., Chan, A. Y., et al. (2017) · Nature · doi:10.1038/nature23875 · Cited by 297 · see citing works

Transethnic meta‐analysis of genomewide association studies

Morris, A. P. (2011) · Genetic Epidemiology · doi:10.1002/gepi.20630 · Cited by 287 · see citing works

Secretor Genotype (FUT2 gene) Is Strongly Associated with the Composition of Bifidobacteria in the Human Intestine

Wacklin, P., Mäkivuokko, H., Alakulppi, N. S., Nikkilä, J., Tenkanen, H., Räbinä, J., Partanen, J., Aranko, K., & Mättö, J. (2011) · PLoS ONE · doi:10.1371/journal.pone.0020113 · Cited by 283 · see citing works

Associating cellular epigenetic models with human phenotypes

Lappalainen, T., & Greally, J. M. (2017) · Nature Reviews Genetics · doi:10.1038/nrg.2017.32 · Cited by 282 · see citing works

Dense fine-mapping study identifies new susceptibility loci for primary biliary cirrhosis

The UK Primary Biliary Cirrhosis (PBC) Consortium, Liu, J. Z., The Wellcome Trust Case Control Consortium 3, Almarri, M. A., Gaffney, D. J., Mells, G. F., Jostins, L., Cordell, H. J., Ducker, S. J., Day, D. B., et al. (2012) · Nature Genetics · doi:10.1038/ng.2395 · Cited by 274 · see citing works

Cell-specific protein phenotypes for the autoimmune locus IL2RA using a genotype-selectable human bioresource

Dendrou, C. A., Plagnol, V., Fung, E., Yang, J. H. M., Downes, K., Cooper, J. D., Nutland, S., Coleman, G., Himsworth, M., Hardy, M., et al. (2009) · Nature Genetics · doi:10.1038/ng.434 · Cited by 274 · see citing works

Multiplexed analysis of chromosome conformation at vastly improved sensitivity

Davies, J. O. J., Telenius, J. M., McGowan, S. J., Roberts, N. A., Taylor, S., Higgs, D. R., & Hughes, J. R. (2016) · Nature Methods · doi:10.1038/nmeth.3664 · Cited by 268 · see citing works

Unravelling the human genome–phenome relationship using phenome-wide association studies

Bush, W. S., Oetjens, M. T., & Crawford, D. C. (2016) · Nature Reviews Genetics · doi:10.1038/nrg.2015.36 · Cited by 267 · see citing works

Resolving <i>TYK2</i> locus genotype-to-phenotype differences in autoimmunity

Dendrou, C. A., Cortes, A., Shipman, L., Evans, H. G., Attfield, K. E., Jostins, L., Barber, T., Kaur, G., Kuttikkatte, S. B., Leach, O. A., et al. (2016) · Science Translational Medicine · doi:10.1126/scitranslmed.aag1974 · Cited by 264 · see citing works

A Homozygous Nonsense Mutation (428G→A) in the Human Secretor ( FUT2 ) Gene Provides Resistance to Symptomatic Norovirus (GGII) Infections

Thorven, M., Grahn, A., Hedlund, K., Johansson, H., Wahlfrid, C., Larson, G., & Svensson, L. (2005) · Journal of Virology · doi:10.1128/jvi.79.24.15351-15355.2005 · Cited by 250 · see citing works

Beta amyloid and hyperphosphorylated tau deposits in the pancreas in type 2 diabetes

Judith Miklossy, A., Qing, H., Rađenović, A., Kis, A., Vileno, B., Laszlo Forro, C., Miller, L. M., Martins, R. N., Waeber, G., Mooser, V., et al. (2008) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2008.08.019 · Cited by 237 · see citing works

Evolutionary toggling of the MAPT 17q21.31 inversion region

Zody, M. C., Jiang, Z., Fung, H.-C., Antonacci, F., Hillier, L. W., Cardone, M. F., Graves, T. A., Kidd, J. M., Cheng, Z., Abouelleil, A., et al. (2008) · Nature Genetics · doi:10.1038/ng.193 · Cited by 227 · see citing works

Prospects of Fine-Mapping Trait-Associated Genomic Regions by Using Summary Statistics from Genome-wide Association Studies

Benner, C., Havulinna, A. S., Järvelin, M., Salomaa, V. V., Ripatti, S., & Pirinen, M. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.08.012 · Cited by 225 · see citing works

Multiplexed, Quantitative Workflow for Sensitive Biomarker Discovery in Plasma Yields Novel Candidates for Early Myocardial Injury

Keshishian, H., Burgess, M. W., Gillette, M. A., Mertins, P., Clauser, K. R., Mani, D. R., Kuhn, E. W., Farrell, L. A., Gerszten, R. E., & Carr, S. A. (2015) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m114.046813 · Cited by 222 · see citing works

Mendelian randomization shows a causal effect of low vitamin D on multiple sclerosis risk

Rhead, B. L., Bäärnhielm, M., Gianfrancesco, M. A., Mok, A., Shao, X., Quach, H., Shen, L., Schaefer, C. A., Link, J., Gyllenberg, A., et al. (2016) · Neurology Genetics · doi:10.1212/nxg.0000000000000097 · Cited by 217 · see citing works

Genetic regulatory signatures underlying islet gene expression and type 2 diabetes

Varshney, A., Scott, L. J., Welch, R., Erdos, M. R., Chines, P. S., Narisu, N., Albanus, R. D., Orchard, P., Wolford, B. N., Kursawe, R., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1621192114 · Cited by 212 · see citing works

Reprograming of gut microbiome energy metabolism by the FUT2 Crohn’s disease risk polymorphism

Tong, M., McHardy, I. H., Ruegger, P. M., Goudarzi, M., Kashyap, P., Haritunians, T., Li, X., Graeber, T. G., Schwager, E., Huttenhower, C., et al. (2014) · The ISME Journal · doi:10.1038/ismej.2014.64 · Cited by 209 · see citing works

Fine Mapping Causal Variants with an Approximate Bayesian Method Using Marginal Test Statistics

Chen, W., Larrabee, B. R., Ovsyannikova, I. G., Kennedy, R. B., Haralambieva, I. H., Poland, G. A., & Schaid, D. J. (2015) · Genetics · doi:10.1534/genetics.115.176107 · Cited by 207 · see citing works

Interferon-α mediates human beta cell HLA class I overexpression, endoplasmic reticulum stress and apoptosis, three hallmarks of early human type 1 diabetes

Marroqui, L., Dos Santos, R. S., Op de beeck, A., Coomans de Brachène, A., Marselli, L., Marchetti, P., & Eizirik, D. L. (2017) · Diabetologia · doi:10.1007/s00125-016-4201-3 · Cited by 203 · see citing works

Estimating the causal tissues for complex traits and diseases

GTEx Consortium, Ongen, H., Brown, A. A., Delaneau, O., Panousis, N. I., Nica, A. C., & Dermitzakis, E. T. (2017) · Nature Genetics · doi:10.1038/ng.3981 · Cited by 198 · see citing works

Leveraging Functional-Annotation Data in Trans-ethnic Fine-Mapping Studies

Kichaev, G., & Paşaniuc, B. (2015) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2015.06.007 · Cited by 187 · see citing works

GLIS3, a Susceptibility Gene for Type 1 and Type 2 Diabetes, Modulates Pancreatic Beta Cell Apoptosis via Regulation of a Splice Variant of the BH3-Only Protein Bim

Nogueira, T. C., de Paula, F. M. M., Villate, O., Colli, M. L., de Moura, R. F., Cunha, D. A., Marselli, L., Marchetti, P., Cnop, M., Julier, C., et al. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003532 · Cited by 178 · see citing works

Transcript Expression Data from Human Islets Links Regulatory Signals from Genome-Wide Association Studies for Type 2 Diabetes and Glycemic Traits to Their Downstream Effectors

van de Bunt, M., Fox, J. E. M., Dai, X.-Q., Barrett, A., Grey, C. L., Li, L., Bennett, A. J., Johnson, P. R. V., Rajotte, R. V., Gaulton, K. J., et al. (2015) · PLoS Genetics · doi:10.1371/journal.pgen.1005694 · Cited by 174 · see citing works

The Unfolded Protein Response and the Role of Protein Disulfide Isomerase in Neurodegeneration

Perri, E. R., Thomas, C. J., Parakh, S., Spencer, D. M. S., & Atkin, J. D. (2016) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2015.00080 · Cited by 164 · see citing works

Structural haplotypes and recent evolution of the human 17q21.31 region

Boettger, L. M., Handsaker, R. E., Zody, M. C., & McCarroll, S. A. (2012) · Nature Genetics · doi:10.1038/ng.2334 · Cited by 163 · see citing works

Faecal Microbiota Composition in Adults Is Associated with the FUT2 Gene Determining the Secretor Status

Wacklin, P., Tuimala, J., Nikkilä, J., Tims, S., Mäkivuokko, H., Alakulppi, N. S., Laine, P., Rajilić-Stojanović, M. D., Paulin, L. G., de Vos, W. M., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0094863 · Cited by 158 · see citing works

Recommended Joint and Meta‐Analysis Strategies for Case‐Control Association Testing of Single Low‐Count Variants

Ma, C., Blackwell, T. W., Boehnke, M., & Scott, L. J. (2013) · Genetic Epidemiology · doi:10.1002/gepi.21742 · Cited by 151 · see citing works

Analysis of allelic expression patterns in clonal somatic cells by single-cell RNA–seq

Reinius, B., Mold, J. E., Ramsköld, D., Deng, Q., Johnsson, P., Michaëlsson, J., Frisén, J., & Sandberg, R. (2016) · Nature Genetics · doi:10.1038/ng.3678 · Cited by 149 · see citing works

Genetic predisposition for beta cell fragility underlies type 1 and type 2 diabetes

Dooley, J., Tian, L., Schönefeldt, S., Delghingaro‐Augusto, V., Garcia‐Perez, J. E., Pasciuto, E., Marino, D. D., Carr, E. J., Oskolkov, N., Lyssenko, V., et al. (2016) · Nature Genetics · doi:10.1038/ng.3531 · Cited by 147 · see citing works

Regulatory T Cell Responses in Participants with Type 1 Diabetes after a Single Dose of Interleukin-2: A Non-Randomised, Open Label, Adaptive Dose-Finding Trial

Todd, J. A., Evangelou, M., Cutler, A. J., Pękalski, M. Ł., Walker, N. M., Stevens, H. E., Porter, L., Smyth, D. J., Rainbow, D. B., Ferreira, R. C., et al. (2016) · PLoS Medicine · doi:10.1371/journal.pmed.1002139 · Cited by 138 · see citing works

Power, false discovery rate and Winner’s Curse in eQTL studies

Huang, Q. Q., Ritchie, S. C., Brożyńska, M., & Inouye, M. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky780 · Cited by 137 · see citing works

The microbiota and autoimmunity: Their role in thyroid autoimmune diseases

Köhling, H.-L., Plummer, S. F., Marchesi, J. R., Davidge, K. S., & Ludgate, M. (2017) · Clinical Immunology · doi:10.1016/j.clim.2017.07.001 · Cited by 136 · see citing works

FUT2 Nonsecretor Status Links Type 1 Diabetes Susceptibility and Resistance to Infection

Smyth, D. J., Cooper, J. D., Howson, J. M. M., Pamela, C., Downes, K., Mistry, T., Stevens, H. E., Walker, N. M., & Todd, J. A. (2011) · Diabetes · doi:10.2337/db11-0638 · Cited by 133 · see citing works

Confirmation of HLA class II independent type 1 diabetes associations in the major histocompatibility complex including HLA‐B and HLA‐A

Howson, J. M. M., Walker, N. M., Clayton, D. G., & Todd, J. A. (2009) · Diabetes Obesity and Metabolism · doi:10.1111/j.1463-1326.2008.01001.x · Cited by 131 · see citing works

The intestinal microbiome in type 1 diabetes

Dunne, J. L., Triplett, E. W., Gevers, D., Xavier, R. J., Insel, R. A., Danska, J. S., & Atkinson, M. A. (2014) · Clinical & Experimental Immunology · doi:10.1111/cei.12321 · Cited by 127 · see citing works

The Influence of the Microbiome on Type 1 Diabetes

Paun, A., Yau, C., & Danska, J. S. (2017) · The Journal of Immunology · doi:10.4049/jimmunol.1601519 · Cited by 125 · see citing works

Characterization of noncoding regulatory DNA in the human genome

Elkon, R., & Agami, R. (2017) · Nature Biotechnology · doi:10.1038/nbt.3863 · Cited by 124 · see citing works

TYK2 , a Candidate Gene for Type 1 Diabetes, Modulates Apoptosis and the Innate Immune Response in Human Pancreatic β-Cells

Marroquí, L., dos Santos, R. S., Fløyel, T., Grieco, F. A., Santín, I., Beeck, A. O. D., Marselli, L., Marchetti, P., Pociot, F., & Eizirik, D. L. (2015) · Diabetes · doi:10.2337/db15-0362 · Cited by 121 · see citing works

Genetic basis of autoimmunity

Marson, A., Housley, W. J., & Hafler, D. A. (2015) · Journal of Clinical Investigation · doi:10.1172/jci78086 · Cited by 121 · see citing works

Amyloid‐β and islet amyloid pathologies link Alzheimer’s disease and type 2 diabetes in a transgenic model

Wijesekara, N., Ahrens, R., Sabale, M., Wu, L., Ha, K., Verdile, G., & Fraser, P. E. (2017) · The FASEB Journal · doi:10.1096/fj.201700431r · Cited by 117 · see citing works

A simple method for assessing sample sizes in microarray experiments

Tibshirani, R. J. (2006) · BMC Bioinformatics · doi:10.1186/1471-2105-7-106 · Cited by 116 · see citing works

A Molecular Epidemiological Study of var Gene Diversity to Characterize the Reservoir of Plasmodium falciparum in Humans in Africa

Chen, D. S., Barry, A. E., Leliwa‐Sytek, A., Smith, T.-A., Peterson, I., Brown, S. M., Migot‐Nabias, F., Deloron, P., Kortok, M., Marsh, K., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0016629 · Cited by 115 · see citing works

Pathogenic implications for autoimmune mechanisms derived by comparative eQTL analysis of CD4+ versus CD8+ T cells

Kasela, S., Kisand, K., Tserel, L., Kaleviste, E., Remm, A., Fischer, K., Esko, T., Westra, H.-J., Fairfax, B. P., Makino, S., et al. (2017) · PLOS Genetics · doi:10.1371/journal.pgen.1006643 · Cited by 113 · see citing works

Type 1 diabetes susceptibility alleles are associated with distinct alterations in the gut microbiota

Mullaney, J. A., Stephens, J. E., Costello, M., Fong, C., Geeling, B. E., Gavin, P. G., Wright, C. M., Spector, T. D., Brown, M. A., & Hamilton‐Williams, E. E. (2018) · Microbiome · doi:10.1186/s40168-018-0417-4 · Cited by 109 · see citing works

Advancements toward a systems level understanding of the human oral microbiome

McLean, J. S. (2014) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2014.00098 · Cited by 108 · see citing works

Long-range DNA looping and gene expression analyses identify DEXI as an autoimmune disease candidate gene

Davison, L. J., Wallace, C., Cooper, J. D., Cope, N. F., Wilson, N. K., Smyth, D. J., Howson, J. M. M., Saleh, N. M., Aljeffery, A., Angus, K. L., et al. (2011) · Human Molecular Genetics · doi:10.1093/hmg/ddr468 · Cited by 107 · see citing works

Prescribing of Antidiabetic Medicines before, during and after Pregnancy: A Study in Seven European Regions

Charlton, R. A., Klungsøyr, K., Neville, A. J., Jordan, S. E., Pierini, A., den Berg, L. T. W. D. J., Bos, H. J., Puccini, A., Engeland, A., Gini, R., et al. (2016) · PLoS ONE · doi:10.1371/journal.pone.0155737 · Cited by 106 · see citing works

Microbiota and Autoimmunity: Exploring New Avenues

Yurkovetskiy, L., Pickard, J. M., & Chervonsky, A. V. (2015) · Cell Host & Microbe · doi:10.1016/j.chom.2015.04.010 · Cited by 95 · see citing works

CRFR1 is expressed on pancreatic β cells, promotes β cell proliferation, and potentiates insulin secretion in a glucose-dependent manner

Huising, M. O., van der Meulen, T., Vaughan, J. M., Matsumoto, M., Donaldson, C. J., Park, H., Billestrup, N., & Vale, W. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0913610107 · Cited by 90 · see citing works

Infections in Early Life and Development of Type 1 Diabetes

Beyerlein, A., Donnachie, E., Jergens, S., & Ziegler, A. (2016) · JAMA · doi:10.1001/jama.2016.2181 · Cited by 88 · see citing works

Chromosome contacts in activated T cells identify autoimmune disease candidate genes

Burren, O. S., Rubio García, A., Javierre, B.-M., Rainbow, D. B., Cairns, J., Cooper, N. J., Lambourne, J. J., Schofield, E., Castro Dopico, X., Ferreira, R. C., et al. (2017) · Genome Biology · doi:10.1186/s13059-017-1285-0 · Cited by 80 · see citing works

Neonatal and adult recent thymic emigrants produce IL-8 and express complement receptors CR1 and CR2

Pękalski, M. Ł., García, A. R., Ferreira, R. C., Rainbow, D. B., Smyth, D. J., Mashar, M., Brady, J., Yarkoni, N. S., Dopico, X. C., Mahmood, S., et al. (2017) · JCI Insight · doi:10.1172/jci.insight.93739 · Cited by 74 · see citing works

JAM: A Scalable Bayesian Framework for Joint Analysis of Marginal SNP Effects

Newcombe, P. J., Conti, D. V., & Richardson, S. T. (2016) · Genetic Epidemiology · doi:10.1002/gepi.21953 · Cited by 72 · see citing works

The importance of cohort studies in the post-GWAS era

Wijmenga, C., & Zhernakova, A. (2018) · Nature Genetics · doi:10.1038/s41588-018-0066-3 · Cited by 72 · see citing works

The viral paradigm in type 1 diabetes: Who are the main suspects?

Calvo, T. R., Sabouri, S., Anquetil, F., & von Herrath, M. G. (2016) · Autoimmunity Reviews · doi:10.1016/j.autrev.2016.07.019 · Cited by 68 · see citing works

Primary prevention of beta-cell autoimmunity and type 1 diabetes – The Global Platform for the Prevention of Autoimmune Diabetes (GPPAD) perspectives

Ziegler, A., Danne, T., Dunger, D. B., Berner, R., Puff, R., Kiess, W., Agiostratidou, G., Todd, J. A., & Bonifacio, E. E. (2016) · Molecular Metabolism · doi:10.1016/j.molmet.2016.02.003 · Cited by 67 · see citing works

Pathogenic Mechanisms in Type 1 Diabetes: The Islet is Both Target and Driver of Disease

Graham, K. L., Sutherland, R. M., Mannering, S. I., Zhao, Y., Chee, J., Krishnamurthy, B., Thomas, H. E., Lew, A. M., & Kay, T. W. H. (2012) · The Review of Diabetic Studies · doi:10.1900/rds.2012.9.148 · Cited by 67 · see citing works

Formalising recall by genotype as an efficient approach to detailed phenotyping and causal inference

Corbin, L. J., Tan, V. Y., Hughes, D. A., Wade, K. H., Paul, D. S., Tansey, K. E., Butcher, F. C., Dudbridge, F., Howson, J. M. M., Jallow, M. W., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-03109-y · Cited by 66 · see citing works

ImmVar project: Insights and design considerations for future studies of “healthy” immune variation

Jager, P. L. D., Hacohen, N., Mathis, D. J., Regev, A., Stranger, B. E., & Benoist, C. O. (2015) · Seminars in Immunology · doi:10.1016/j.smim.2015.03.003 · Cited by 61 · see citing works

The Role of the Intestinal Microbiome in Type 1 Diabetes Pathogenesis

Needell, J. C., & Zipris, D. (2016) · Current Diabetes Reports · doi:10.1007/s11892-016-0781-z · Cited by 60 · see citing works

Using nature to understand nurture

Koellinger, P., & Harden, K. P. (2018) · Science · doi:10.1126/science.aar6429 · Cited by 59 · see citing works

Erratum: Oncostatin M drives intestinal inflammation and predicts response to tumor necrosis factor–neutralizing therapy in patients with inflammatory bowel disease

Oxford IBD Cohort Investigators, West, N. R., Hegazy, A. N., Owens, B. M. J., Bullers, S. J., Linggi, B. E., Buonocore, S. M., Coccia, M., Görtz, D., This, S., et al. (2017) · Nature Medicine · doi:10.1038/nm0617-788d · Cited by 59 · see citing works

Immune and genetic gardening of the intestinal microbiome

Jacobs, J. P., & Braun, J. G. (2014) · FEBS Letters · doi:10.1016/j.febslet.2014.02.052 · Cited by 56 · see citing works

Bayesian analysis of genetic association across tree-structured routine healthcare data in the UK Biobank

Cortés, A., Dendrou, C. A., Motyer, A., Jostins, L., Vukcevic, D., Dilthey, A., Donnelly, P., Leslie, S., Fugger, L. H., & McVean, G. (2017) · Nature Genetics · doi:10.1038/ng.3926 · Cited by 56 · see citing works

Expression of TAU in insulin-secreting cells and its interaction with the calcium-binding protein secretagogin

Maj, M. A., Gärtner, W., İlhan, A., Neziri, D., Attems, J., & Wagner, L. (2010) · Journal of Endocrinology · doi:10.1677/joe-09-0341 · Cited by 54 · see citing works

Meta-analysis of the association between variants in MAPT and neurodegenerative diseases

Zhang, C., Zhu, J., Wan, Y., Tan, L., Wang, H.-F., Yu, J., & Tan, L. (2017) · Oncotarget · doi:10.18632/oncotarget.16690 · Cited by 53 · 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

Modulation of pancreatic islets-stress axis by hypothalamic releasing hormones and 11β-hydroxysteroid dehydrogenase

Schmid, J., Ludwig, B., Schally, A. V., Steffen, A., Ziegler, C. G., Block, N. L., Koutmani, Y., Brendel, M. D., Karalis, K. P., Simeonovic, C. J., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1110965108 · Cited by 52 · see citing works

Dissection of a Complex Disease Susceptibility Region Using a Bayesian Stochastic Search Approach to Fine Mapping

Wallace, C., Cutler, A. J., Pontikos, N., Pękalski, M. Ł., Burren, O. S., Cooper, J. D., García, A. R., Ferreira, R. C., Guo, H., Walker, N. M., et al. (2015) · PLoS Genetics · doi:10.1371/journal.pgen.1005272 · Cited by 50 · see citing works

Solving Immunology?

Yoram Vodovotz, B., Xia, A. Y., Read, E. L., Bassaganya-Riera, J., Hafler, D. A., Sontag, E. D., Wang, J., Tsang, J. S., Day, J., Kleinstein, S. H., et al. (2016) · Trends in Immunology · doi:10.1016/j.it.2016.11.006 · Cited by 49 · see citing works

FUT2 genotype and secretory status are not associated with fecal microbial composition and inferred function in healthy subjects

Turpin, W., Bedrani, L., Espin‐Garcia, O., Xu, W., Silverberg, M. S., Smith, M. I., Guttman, D. S., Griffiths, A. M., Moayyedi, P., Panaccione, R., et al. (2018) · Gut Microbes · doi:10.1080/19490976.2018.1445956 · Cited by 45 · see citing works

The chromosome 6q22.33 region is associated with age at diagnosis of type 1 diabetes and disease risk in those diagnosed under 5 years of age

Inshaw, J. R. J., Walker, N. M., Wallace, C., Bottolo, L., & Todd, J. A. (2017) · Diabetologia · doi:10.1007/s00125-017-4440-y · Cited by 40 · see citing works

Fine-mapping of an expanded set of type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome mapsPreprint

Mahajan, A., Taliun, D., Thurner, M., Robertson, N. R., Torres, J., Rayner, N. W., Steinthórsdóttir, V., Scott, R. A., Grarup, N., Cook, J. P., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/245506 · Cited by 37 · see citing works

Allele-specific methylation of type 1 diabetes susceptibility genes

Kindt, A. S. D., Fuerst, R., Knoop, J., Laimighofer, M., Telieps, T., Hippich, M., Wörheide, M. A., Wahl, S., Wilson, R., Sedlmeier, E., et al. (2017) · Journal of Autoimmunity · doi:10.1016/j.jaut.2017.11.008 · Cited by 36 · see citing works

Molecular genetics of the transcription factor GLIS3 identifies its dual function in beta cells and neurons

Caldérari, S., Ria, M., Gérard, C., Nogueira, T. C., Villate, O., Collins, S. C., Neil, H., Gervasi, N., Hue, C., Suárez-Zamorano, N., et al. (2017) · Genomics · doi:10.1016/j.ygeno.2017.09.001 · Cited by 31 · see citing works

Neuron and beta‐cell evolution: Learning about neurons is learning about beta‐cells

Eberhard, D. (2013) · BioEssays · doi:10.1002/bies.201300035 · Cited by 26 · see citing works

Primate segmental duplication creates novel promoters for the LRRC37 gene family within the 17q21.31 inversion polymorphism regionPreprint

Bekpen, C., Tastekin, I., Siswara, P., Akdiş, C. A., & Eichler, E. E. (2012) · Genome Research · doi:10.1101/gr.134098.111 · Cited by 23 · see citing works

The Human Functional Genomics Project: Understanding Generation of Diversity

Pappalardo, J. L., & Hafler, D. A. (2016) · Cell · doi:10.1016/j.cell.2016.10.040 · Cited by 22 · see citing works

Genetic Risk Score Modelling for Disease Progression in New-Onset Type 1 Diabetes Patients: Increased Genetic Load of Islet-Expressed and Cytokine-Regulated Candidate Genes Predicts Poorer Glycemic Control

Brorsson, C., Nielsen, L. B., Andersen, M. L. M., Kaur, S., Bergholdt, R., Hansen, L. B., Mortensen, H. B., Pociot, F., Størling, J., & Hvidoere Study Group on Childhood Diabetes (2016) · Journal of Diabetes Research · doi:10.1155/2016/9570424 · Cited by 20 · see citing works

Pancreatic Beta Cell Survival and Signaling Pathways: Effects of Type 1 Diabetes-Associated Genetic Variants

Santín, I., dos Santos, R. S., & Eizirik, D. L. (2015) · Methods in molecular biology · doi:10.1007/7651_2015_291 · Cited by 20 · see citing works

Increased THEMIS First Exon Usage in CD4+ T-Cells Is Associated with a Genotype that Is Protective against Multiple Sclerosis

Davies, J. L., Thompson, S. A. J., Kaur-Sandhu, H., Sawcer, S. J., Coles, A. J., Ban, M., & Jones, J. (2016) · PLoS ONE · doi:10.1371/journal.pone.0158327 · Cited by 20 · see citing works

Type 1 diabetes genome-wide association analysis with imputation identifies five new risk regionsPreprint

Cooper, N. J., Wallace, C., Burren, O. S., Cutler, A. J., Walker, N. M., & Todd, J. A. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/120022 · Cited by 19 · see citing works

CRFR1 activation protects against cytokine-induced β-cell death

Blaabjerg, L., Christensen, G. L., Matsumoto, M., van der Meulen, T., Huising, M. O., Billestrup, N., & Vale, W. (2014) · Journal of Molecular Endocrinology · doi:10.1530/jme-14-0056 · Cited by 17 · see citing works

Haplotype-specific MAPT exon 3 expression regulated by common intronic polymorphisms associated with Parkinsonian disorders

Lai, M. C., Bechy, A.-L., Denk, F., Collins, E., Gavriliouk, M., Zaugg, J. B., Ryan, B. J., Wade‐Martins, R., & Caffrey, T. M. (2017) · Molecular Neurodegeneration · doi:10.1186/s13024-017-0224-6 · Cited by 13 · see citing works

Biomarker-guided stratification of autoimmune patients for biologic therapy

Ivison, S. M., Rosiers, C. D., Lesage, S., Rioux, J. D., & Levings, M. K. (2017) · Current Opinion in Immunology · doi:10.1016/j.coi.2017.09.006 · Cited by 10 · see citing works

Evidence that UBASH3 is a causal gene for type 1 diabetes

Todd, J. A. (2018) · European Journal of Human Genetics · doi:10.1038/s41431-018-0142-2 · Cited by 8 · see citing works

A rare IL2RA haplotype identifies SNP rs61839660 as causal for autoimmunityPreprint

Rainbow, D. B., Pekalski, M., Cutler, A. J., Burren, O. S., Walker, N. M., Todd, J. A., Wallace, C., & Wicker, L. S. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/108126 · Cited by 4 · see citing works

High resolution genetic mapping of causal regulatory interactions in the human genomePreprint

Kumasaka, N., Knights, A., & Gaffney, D. (2017) · bioRxiv · doi:10.1101/227389 · Cited by 4 · see citing works

Context-specific regulation of monocyte surface IL7R expression and soluble receptor secretion by a common autoimmune risk allelePreprint

Al‐Mossawi, H., Yager, N., Taylor, C. A., Lau, E., Danielli, S., de Wit, J., Gilchrist, J. J., Nassiri, I., Mahé, E. A., Lee, W., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/262410 · Cited by 4 · see citing works

IL-6 in inflammation, autoimmunity and cancer

Hirano, T. (2021) · International Immunology · doi:10.1093/intimm/dxaa078 · Cited by 1,453 · see citing works

The science and medicine of human immunology

Pulendran, B., & Davis, M. M. (2020) · Science · doi:10.1126/science.aay4014 · Cited by 266 · see citing works

Leveraging diet to engineer the gut microbiome

Wolter, M., Grant, E. T., Boudaud, M., Steimle, A., Pereira, G. V., Martens, E. C., & Desai, M. S. (2021) · Nature Reviews Gastroenterology &amp; Hepatology · doi:10.1038/s41575-021-00512-7 · Cited by 211 · see citing works

Human immunology and immunotherapy: main achievements and challenges

Varadé, J., Magadán, S., & González‐Fernández, Á. (2020) · Cellular and Molecular Immunology · doi:10.1038/s41423-020-00530-6 · Cited by 221 · see citing works

Immunotherapy: Building a bridge to a cure for type 1 diabetes

Bluestone, J. A., Buckner, J. H., & Herold, K. C. (2021) · Science · doi:10.1126/science.abh1654 · Cited by 216 · see citing works

The Role of Viral Infections in the Onset of Autoimmune Diseases

Sundaresan, B., Shirafkan, F., Ripperger, K., & Rattay, K. (2023) · Viruses · doi:10.3390/v15030782 · Cited by 194 · see citing works

An integrated multi-omics approach identifies the landscape of interferon-α-mediated responses of human pancreatic beta cells

Colli, M. L., Ramos-Rodríguez, M., Nakayasu, E. S., Alvelos, M. I., Lopes, M., Hill, J. L. E., Turatsinze, J., de Brachène, A. C., Russell, M. A., Raurell‐Vila, H., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-16327-0 · Cited by 142 · see citing works

Immuno‐Engineered Nanodecoys for the Multi‐Target Anti‐Inflammatory Treatment of Autoimmune Diseases

Hou, M., Wei, Y., Zhao, Z., Han, W., Zhou, R., Zhou, Y., Zheng, Y., & Yin, L. (2022) · Advanced Materials · doi:10.1002/adma.202108817 · Cited by 114 · see citing works

Elucidating Human Milk Oligosaccharide biosynthetic genes through network-based multi-omics integration

Kellman, B. P., Richelle, A., Yang, J., Chapla, D. G., Chiang, A. W. T., Najera, J. A., Liang, C., Fürst, A., Bao, B., Koga, N., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-29867-4 · Cited by 76 · see citing works

Current Insights in Genetics of Sarcoidosis: Functional and Clinical Impacts

Calender, A., Weichhart, T., Valeyre, D., & Pachéco, Y. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9082633 · Cited by 66 · see citing works

CRISPR-based genome editing in primary human pancreatic islet cells

Bevacqua, R. J., Dai, X.-Q., Lam, J. Y., Gu, X., Friedlander, M. S. H., Tellez, K., Miguel-Escalada, I., Bonàs‐Guarch, S., Atla, G., Zhao, W., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-22651-w · Cited by 53 · see citing works

Innate and adaptive immune abnormalities underlying autoimmune diseases: the genetic connections

Chi, X., Huang, M., Tu, H., Zhang, B., Lin, X., Xu, H., Dong, C., & Hu, X. (2023) · Science China Life Sciences · doi:10.1007/s11427-021-2187-3 · Cited by 45 · see citing works

DNA methylation signatures of autoimmune diseases in human B lymphocytes

Zouali, M. (2020) · Clinical Immunology · doi:10.1016/j.clim.2020.108622 · Cited by 44 · see citing works

Identifying cross-disease components of genetic risk across hospital data in the UK Biobank

Cortés, A., Albers, P. K., Dendrou, C. A., Fugger, L. H., & McVean, G. (2019) · Nature Genetics · doi:10.1038/s41588-019-0550-4 · Cited by 43 · see citing works

Bortezomib: a proteasome inhibitor for the treatment of autoimmune diseases

Khalesi, N., Korani, S., Korani, M., Johnston, T., & Sahebkar, A. (2021) · InflammoPharmacology · doi:10.1007/s10787-021-00863-2 · Cited by 33 · see citing works

Common ground: shared risk factors for type 1 diabetes and celiac disease

Verdu, E. F., & Danska, J. S. (2018) · Nature Immunology · doi:10.1038/s41590-018-0130-2 · Cited by 39 · see citing works

Genomic Risk Score impact on susceptibility to systemic sclerosis

Bossini‐Castillo, L., Villanueva-Martín, G., Kerick, M., Acosta‐Herrera, M., López‐Isac, E., Simeón‐Aznar, C. P., Ortego‐Centeno, N., Assassi, S., Hunzelmann, N., Gabrielli, A., et al. (2020) · Annals of the Rheumatic Diseases · doi:10.1136/annrheumdis-2020-218558 · Cited by 34 · see citing works

From Disease and Patient Heterogeneity to Precision Medicine in Type 1 Diabetes

den Hollander, N. H. M., & Roep, B. O. (2022) · Frontiers in Medicine · doi:10.3389/fmed.2022.932086 · Cited by 32 · see citing works

The Post-GWAS Era: How to Validate the Contribution of Gene Variants in Lupus

Fike, A. J., Elcheva, I. A., & Rahman, Z. S. M. (2019) · Current Rheumatology Reports · doi:10.1007/s11926-019-0801-5 · Cited by 31 · see citing works

Genetics and Omics Analysis of Autoimmune Skin Blistering Diseases

Olbrich, M. R., Künstner, A., Witte, M., Busch, H. S., & Fähnrich, A. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.02327 · Cited by 33 · see citing works

Therapeutic potential of aryl hydrocarbon receptor in autoimmunity

Wang, X., Cao, F., Zhang, Y., & Pan, H. (2019) · Inflammopharmacology · doi:10.1007/s10787-019-00651-z · Cited by 32 · see citing works

Triangulating Molecular Evidence to Prioritize Candidate Causal Genes at Established Atopic Dermatitis Loci

Sobczyk, M., Richardson, T. G., Zuber, V., Min, J. L., GoDMC, Gaunt, T. R., & Paternoster, L. (2021) · Journal of Investigative Dermatology · doi:10.1016/j.jid.2021.03.027 · Cited by 26 · see citing works

An autoimmune pleiotropic SNP modulates IRF5 alternative promoter usage through ZBTB3-mediated chromatin looping

Wang, Z., Liang, Q., Qian, X., Hu, B., Zheng, Z., Wang, J., Hu, Y., Bao, Z., Zhao, K., Zhou, Y., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-36897-z · Cited by 26 · see citing works

The β-Cell Genomic Landscape in T1D: Implications for Disease Pathogenesis

Ramos-Rodríguez, M., Pérez-González, B., & Pasquali, L. (2021) · Current Diabetes Reports · doi:10.1007/s11892-020-01370-4 · Cited by 25 · see citing works

The Genetic Control of the Rheumatic Heart: Closing the Genotype-Phenotype Gap

Abdallah, A. M., & Abu-Madi, M. A. (2021) · Frontiers in Medicine · doi:10.3389/fmed.2021.611036 · Cited by 21 · see citing works

Aberrant Expressions of Co-stimulatory and Co-inhibitory Molecules in Autoimmune Diseases

He, W., Wang, B., Li, Q., Yao, Q., Jia, X., Song, R., Li, S., & Zhang, J. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.00261 · Cited by 21 · see citing works

Tracing the Evolution of Human Immunity Through Ancient DNA

Patin, É., & Quintana‐Murci, L. (2024) · Annual Review of Immunology · doi:10.1146/annurev-immunol-082323-024638 · Cited by 19 · see citing works

Multiomics dissection of molecular regulatory mechanisms underlying autoimmune-associated noncoding SNPs

Chen, X., Guo, M., Duan, Y.-Y., Jiang, F., Wu, H., Dong, S., Zhou, X., Thynn, H. N., Liu, C., Zhang, L., et al. (2020) · JCI Insight · doi:10.1172/jci.insight.136477 · Cited by 19 · see citing works

Identification of rheumatoid arthritis causal genes using functional genomics

Ding, J., & Orozco, G. (2019) · Scandinavian Journal of Immunology · doi:10.1111/sji.12753 · Cited by 14 · see citing works

New insights into pathogenesis of IgA nephropathy

Xia, J., Wang, M., & Jiang, W. (2022) · International Urology and Nephrology · doi:10.1007/s11255-021-03094-0 · Cited by 14 · see citing works

Replication study of susceptibility variants associated with allergic rhinitis and allergy in Han Chinese

Gao, Y., Li, J., Zhang, Y., & Zhang, L. (2020) · Allergy Asthma and Clinical Immunology · doi:10.1186/s13223-020-0411-9 · Cited by 14 · see citing works

Disease-modifying pharmacological treatments of type 1 diabetes: Molecular mechanisms, target checkpoints, and possible combinatorial treatments

Kosheleva, L., Koshelev, D., Lagunas‐Rangel, F. A., Levit, S., Rabinovitch, A., & Schiöth, H. B. (2025) · Pharmacological Reviews · doi:10.1016/j.pharmr.2025.100044 · Cited by 12 · see citing works

Diet and Hygiene in Modulating Autoimmunity During the Pandemic Era

Abdelhamid, L., & Luo, X. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2021.749774 · Cited by 12 · see citing works

An unexpected 2-histidine phosphoesterase activity of suppressor of T-cell receptor signaling protein 1 contributes to the suppression of cell signaling

Yin, Y., Frank, D. M., Zhou, W., Kaur, N., French, J. B., & Carpino, N. (2020) · Journal of Biological Chemistry · doi:10.1074/jbc.ra120.013482 · Cited by 10 · see citing works

Potent and Selective Knockdown of Tyrosine Kinase 2 by Antisense Oligonucleotides

van Tran, N., Nguyen, L. T. A., Lim, K. W., & Phan, A. T. (2021) · ImmunoHorizons · doi:10.4049/immunohorizons.2000108 · Cited by 10 · see citing works

Thymocyte regulatory variant alters transcription factor binding and protects from type 1 diabetes in infants

Sandholm, N., García, A. R., Pękalski, M. Ł., Inshaw, J. R. J., Cutler, A. J., & Todd, J. A. (2022) · Scientific Reports · doi:10.1038/s41598-022-18296-4 · Cited by 7 · see citing works

New era of therapy for endocrine autoimmune disorders

Oftedal, B. E., & Wolff, A. S. B. (2020) · Scandinavian Journal of Immunology · doi:10.1111/sji.12961 · Cited by 7 · see citing works

Genomic variants associated with age at diagnosis of childhood-onset type 1 diabetes

Bougneres, P. F., Fur, S. L., Kamatani, Y., Mai, T.-N., Belot, M., Perge, K., the Isis-Diab group, Shao, X., Lathrop, M. G., & Valleron, A. (2024) · Journal of Human Genetics · doi:10.1038/s10038-024-01272-3 · Cited by 6 · see citing works

High-Resolution Structure of RNA G‑Quadruplex Containing Unique Structural Motifs Originating from the 5′-UTR of Human Tyrosine Kinase 2 (TYK2)

Orehova, M., Plavec, J., & Kocman, V. (2024) · ACS Omega · doi:10.1021/acsomega.3c09592 · Cited by 5 · see citing works

Degradation of Long‐Lived Proteins as a Cause of Autoimmune Diseases

Truscott, R. J. W. (2021) · Wiley eBooks · doi:10.1002/9783527826759.ch6 · Cited by 4 · see citing works

A genome-wide CRISPR screen identifies the TNRC18 gene locus as a regulator of inflammatory signaling

Rahimov, F., Ghosh, S., Petiwala, S. M., Schmidt, M., Nyamugenda, E., Shi, M., Tam, J. W., Verduzco, D., Singh, S., Avram, V., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-65277-y · Cited by 6 · see citing works

Epidemiology and Pathogenesis of Type 1 Diabetes

Stene, L. C., & Lernmark, Å. (2023) · Springer eBooks · doi:10.1007/978-3-031-20999-4_2 · Cited by 3 · see citing works

Host gene effects on gut microbiota in type 1 diabetes

Guo, K., Huang, J., & Zhou, Z. (2022) · Biochemical Society Transactions · doi:10.1042/bst20220004 · Cited by 3 · see citing works

Identifying celiac disease-related chemicals by transcriptome-wide association study and chemical-gene interaction analyses

Lu, M., Feng, R., Liu, Y., Qin, Y., Deng, H., Xiao, Y., & Yin, C. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.990483 · Cited by 3 · see citing works

Pharmacogenomics in autoimmune diseases

Shafique, F., Ali, N., & Ali, A. (2023) · Elsevier eBooks · doi:10.1016/b978-0-443-15336-5.00004-x · Cited by 2 · see citing works

Diabetes Mellitus

Yanoff, M., & Sassani, J. W. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-87822-7.00015-8 · Cited by 2 · see citing works

Diabetes in Children and Adolescents

Šumnı́k, Z., & Průhová, Š. (2024) · Endocrinology · doi:10.1007/978-3-030-23709-7_10 · Cited by 2 · see citing works

Formation of Autoimmune Lesions Is Independent of Antibiotic Treatment in NOD Mice

Sato, M., Arakaki, R., Tawara, H., Tsunematsu, T., & Ishimaru, N. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22063239 · Cited by 2 · see citing works

Systematic classification of shared components of genetic risk for common human diseasesPreprint

Cortés, A., Dendrou, C. A., Fugger, L. H., & McVean, G. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/374207 · Cited by 2 · see citing works

Modulation of monocyte responses by progressive multiple sclerosis therapy.

Beyers, C. Z. (2020) · doi:10.26686/wgtn.17148233.v1 · Cited by 2 · see citing works

Pathogenese der Autoimmunerkrankungen bei Kindern und Jugendlichen

Dannecker, G. E., Kallinich, T., & Wagner, N. (2022) · Springer Reference Medizin · doi:10.1007/978-3-662-60410-6_1 · Cited by 1 · see citing works

The Role of Cytokines and T Cells as Mediators of Inflammatory Pathology in Type 1 Diabetes and COVID-19

Polega, J. R. (2024) · Pediatric Annals · doi:10.3928/19382359-20240502-05 · Cited by 1 · see citing works

Genome-wide association, single-cell, and spatial transcriptomics analyses reveal the role of the STK24-expressing positive cells in LUAD progression and the tumor microenvironment, identifying STK24 as a potential therapeutic target

Liu, J., Li, H., Jiao, Y., & Hou, M. (2025) · Journal of Translational Medicine · doi:10.1186/s12967-025-07111-z · Cited by 1 · see citing works

In Silico Optimization of GAD65 114–122 Autoantigen for Potential Type 1 Diabetes Antigen-Specific Immunotherapy

Fu, L., Chan, C., Zhong, Q., Buratto, D., Wu, S., & Zhou, R. (2025) · The Journal of Physical Chemistry B · doi:10.1021/acs.jpcb.5c04875 · Cited by 1 · see citing works

Type 1 diabetes: etiology and epidemiology

Cinek, O., & Šumnı́k, Z. (2019) · Vnitřní lékařství · doi:10.36290/vnl.2019.041 · Cited by 1 · see citing works

212 Co‐delivery of Vitamin D3 and Antigens by Nanoparticles Enhances Immune Tolerance through Induction of Tolerogenic Dendritic Cells in vivo

Gao, X. J., Cong, X., Li, H., Mao, K., Wang, H., Lin, G., Wang, J., Liu, F., Zhu, G., Tan, H., et al. (2023) · Advanced Therapeutics · doi:10.1002/adtp.202200274 · Cited by 1 · see citing works

Structural and biochemical analysis of highly similar HLA-B allotypes differentially associated with type 1 diabetes

Sharma, R., Amdare, N. P., Ghosh, A., Schloss, J. M., Sidney, J., Garforth, S., Lopez, Y., Celikgil, A., Sette, A., Almo, S. C., et al. (2024) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2024.107702 · Cited by 1 · see citing works

A genome-wide CRISPR screen supported by human genetics identifies the TNRC18 gene locus as a novel regulator of inflammatory signalingPreprint

Rahimov, F., Ghosh, S., Petiwala, S. M., Schmidt, M., Nyamugenda, E., Tam, J. W., Verduzco, D., Singh, S., Avram, V., Modi, A., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.10.04.560902 · Cited by 1 · see citing works

Dissecting molecular regulatory mechanisms underlying noncoding susceptibility SNPs associated with 19 autoimmune diseases using multi-omics integrative analysisPreprint

Chen, X., Guo, M.-R., Duan, Y.-Y., Jiang, F., Wu, H., Dong, S., Thynn, H. N., Liu, C., Zhang, L., Guo, Y., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/871384

Concepts of Autoimmunity Relevant to Autoimmune Liver Diseases

Roepe, I. G., & Vierling, J. M. (2020) · doi:10.1002/9781119532637.ch2

Immunogenetics of Neuropathy Disease

Swati, K., & Kumar, V. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-821974-4.00011-x

Pathogenese der Autoimmunerkrankungen bei Kindern und Jugendlichen

Dannecker, G. E., Kallinich, T., & Wagner, N. (2021) · Springer Reference Medizin · doi:10.1007/978-3-662-60411-3_1-1

Modulation of monocyte responses by progressive multiple sclerosis therapy.

Beyers, C. Z. (2020) · doi:10.26686/wgtn.17148233

Genetics and Sjögren’s

Sivils, K. L. M. (2022) · doi:10.1093/oso/9780197502112.003.0008

Rheumatic diseases: From bench to bedside

Shaharir, S. S., & Wahab, A. A. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-85831-1.00003-6

Genetic Factors in Autoimmunity

Tizard, I. R. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-84813-8.00004-0

Natural Products Used in the Treatment of Autoimmune Disorder

Saharan, A., Dhanawat, M., Dora, C. P., Sindhu, R. K., & Verma, I. (2023) · Springer eBooks · doi:10.1007/978-3-031-28780-0_52

Diabetes in Children and Adolescents

Šumnı́k, Z., & Průhová, Š. (2023) · Endocrinology · doi:10.1007/978-3-030-18901-3_10-1

Underlying the Cellular Regulations in Autoimmune Pathologies

Won, Y. (2025) · Springer eBooks · doi:10.1007/978-981-95-0520-3_9

Genome-wide association study in Hashimoto’s thyroiditis

Buldygina, Y. V., Haletska, A. H., Kurutsa, O., Shchubelka, K., & Oleksyk, T. K. (2026) · INTERNATIONAL JOURNAL OF ENDOCRINOLOGY (Ukraine) · doi:10.22141/2224-0721.22.6.2026.1766

Quality of Life and Glycemic Control in Children with Type 1 Diabetes: A Comparative Analysis of Tubed Advanced Hybrid Closed-Loop and Tubeless Conventional Insulin Pump Systems

Babiker, A. M. I., Alfakeeh, S., Alsubaie, R. A., Alharbi, F., Alhammad, S., Alshammari, T., Khalaf, A. A., Almutairi, A. F., Yadav, B., Sabbah, A., et al. (2026) · International Journal of Pediatrics and Adolescent Medicine · doi:10.4103/ijpam.ijpam_120_26

The genetics of human autoimmune disease: A perspective on progress in the field and future directions

Seldin, M. F. (2015) · Journal of Autoimmunity · doi:10.1016/j.jaut.2015.08.015 · Cited by 105 · see citing works

Familiäre Häufung, genetische Wurzeln und Erkenntniszugewinn in der Pathogenese von Autoimmunerkrankungen

Pierer, M., Baerwald, C., & Wagner, U. G. (2009) · Zeitschrift für Rheumatologie · doi:10.1007/s00393-009-0556-x

What have we learned from six years of GWAS in autoimmune diseases, and what is next?

Hu, X., & Daly, M. J. (2012) · Current Opinion in Immunology · doi:10.1016/j.coi.2012.09.001 · Cited by 32 · see citing works

Fishing for Genes in Autoimmunity.

Regev, M., & Pras, E. (2016) · PubMed · Cited by 2 · see citing works

Genetic basis of autoimmunity

Marson, A., Housley, W. J., & Hafler, D. A. (2015) · Journal of Clinical Investigation · doi:10.1172/jci78086 · Cited by 121 · see citing works