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The Genetic Architecture of the Human Immune System: A Bioresource for Autoimmunity and Disease Pathogenesis
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Despite recent discoveries of genetic variants associated with autoimmunity and infection, genetic control of the human immune system during homeostasis is poorly understood. We undertook a comprehensive immunophenotyping approach, analyzing 78,000 immune traits in 669 female twins. From the top 151 heritable traits (up to 96% heritable), we used replicated GWAS to obtain 297 SNP associations at 11 genetic loci, explaining up to 36% of the variation of 19 traits. We found multiple associations with canonical traits of all major immune cell subsets and uncovered insights into genetic control for regulatory T cells. This data set also revealed traits associated with loci known to confer autoimmune susceptibility, providing mechanistic hypotheses linking immune traits with the etiology of disease. Our data establish a bioresource that links genetic control elements associated with normal immune traits to common autoimmune and infectious diseases, providing a shortcut to identifying potential mechanisms of immune-related diseases.
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“The heritability for many serum cytokines/chemokines ranges from 50% to 90% in healthy twins between 8 and 82 years of age, with IL-6 and IL-12p40 levels being especially driven by genetics.”
From Connecting aging biology and inflammation in the omics era (2022) · cites this paper as [117]
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“For example, one large-scale GWAS found a median heritability of 37% for a broad set of immune cell types and immune traits, with some phenotypes showing heritability as high as 96% (116, 117).”
From Connecting aging biology and inflammation in the omics era (2022) · cites this paper as [117]
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Cites
METAL: fast and efficient meta-analysis of genomewide association scans
Willer, C. J., Li, Y., & Abecasis, G. R. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq340 · Cited by 5,205
Host–microbe interactions have shaped the genetic architecture of inflammatory bowel disease
The International IBD Genetics Consortium (IIBDGC), Jostins, L., Ripke, S., Weersma, R. K., Duerr, R. H., McGovern, D. P., Hui, K. Y., Lee, J. C., Philip Schumm, L., Sharma, Y., et al. (2012) · Nature · doi:10.1038/nature11582 · Cited by 4,722
Methodology for Genetic Studies of Twins and Families
Neale, M. C., & Cardon, L. R. (1992) · doi:10.1007/978-94-015-8018-2 · Cited by 4,005
Howie, B. N., Donnelly, P., & Marchini, J. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000529 · Cited by 3,928
Deaglio, S., Dwyer, K. M., Gao, W., Friedman, D. J., Usheva, A., Erat, A., Chen, J., Enjyoji, K., Linden, J. M., Oukka, M., et al. (2007) · The Journal of Experimental Medicine · doi:10.1084/jem.20062512 · Cited by 2,613
FOXP3+ regulatory T cells in the human immune system
Sakaguchi, S., Miyara, M., Costantino, C. M., & Hafler, D. A. (2010) · Nature reviews. Immunology · doi:10.1038/nri2785 · Cited by 2,524
A human memory T cell subset with stem cell–like properties
Gattinoni, L., Lugli, E., Ji, Y., Pos, Z., Paulos, C. M., Quigley, M. F., Almeida, J. R., Gostick, E., Yu, Z., Carpenito, C., et al. (2011) · Nature Medicine · doi:10.1038/nm.2446 · Cited by 1,974 · cited 2×
“TSCM are a recently described infrequent and functionally important lymphocyte subset (Gattinoni et al., 2011); these cells have a largely naive T cell phenotype but are able to self-renew while displaying functional attributes of memory cells.”
BackgroundSelf-citationGenABEL: an R library for genome-wide association analysis
Aulchenko, Y. S., Ripke, S., Isaacs, A., & van Duijn, C. M. (2007) · Bioinformatics · doi:10.1093/bioinformatics/btm108 · Cited by 1,836 · cited 2×
“Genome-wide Association Analysis Because of relatedness in the TwinsUK cohort, we utilized the GenABEL software package (Aulchenko et al., 2007), which is designed for GWAS analysis of family-based data by incorporating pairwise kinship matrix calculated using”
MethodAnderson, C., Boucher, G., Lees, C., Franke, A., D'Amato, M., Taylor, K., Lee, J., Goyette, P., Imieliński, M., Latiano, A., et al. (2011) · Nature Genetics · doi:10.1038/ng.764 · Cited by 1,361
The International Consortium for Systemic Lupus Erythematosus Genetics (SLEGEN), Harley, J. B., Alarcón-Riquelme, M. E., Criswell, L. A., Jacob, C. O., Kimberly, R. P., Moser, K. L., Tsao, B. P., Vyse, T. J., & Langefeld, C. D. (2008) · Nature Genetics · doi:10.1038/ng.81 · Cited by 1,309
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Elsworth, B., Lyon, M., Alexander, T., Liu, Y., Matthews, P., Hallett, J., Bates, P., Palmer, T., Haberland, V., Smith, G. D., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.08.10.244293 · Cited by 946
Brodin, P., & Davis, M. M. (2017) · Nature reviews. Immunology · doi:10.1038/nri.2016.125 · Cited by 730
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Olin, A., Henckel, E., Chen, Y., Lakshmikanth, T., Pou, C., Mikeš, J., Gustafsson, A., Bernhardsson, A. K., Zhang, C., Bohlin, K., et al. (2018) · Cell · doi:10.1016/j.cell.2018.06.045 · Cited by 708
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Gattinoni, L., Speiser, D. E., Lichterfeld, M. D., & Bonini, C. (2017) · Nature Medicine · doi:10.1038/nm.4241 · Cited by 648
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Dopico, X. C., Evangelou, M., Ferreira, R. C., Guo, H., Pekalski, M. L., Smyth, D. J., Cooper, N., Burren, O. S., Fulford, A. J., Hennig, B. J., et al. (2015) · Nature Communications · doi:10.1038/ncomms8000 · Cited by 472
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Alpert, A., Pickman, Y., Leipold, M., Rosenberg-Hasson, Y., Ji, X., Gaujoux, R., Rabani, H., Starosvetsky, E., Kveler, K., Schaffert, S., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0381-y · Cited by 513
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Bonder, M. J., Luijk, R., Zhernakova, D. V., Moed, M., Deelen, P., Vermaat, M., van Iterson, M., van Dijk, F., van Galen, M., Bot, J. J., et al. (2016) · Nature Genetics · doi:10.1038/ng.3721 · Cited by 462
Effects of ageing on the immune system: Infants to elderly
Valiathan, R., Ashman, M., & Asthana, D. (2016) · Scandinavian Journal of Immunology · doi:10.1111/sji.12413 · Cited by 380
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Li, Y., Oosting, M., Smeekens, S. P., Jaeger, M., Aguirre-Gamboa, R., Le, K. T. T., Deelen, P., Ricaño-Ponce, I., Schoffelen, T., Jansen, A. F. M., et al. (2016) · Cell · doi:10.1016/j.cell.2016.10.017 · Cited by 324
Xie, H., Guo, R., Zhong, H., Feng, Q., Lan, Z., Qin, B., Ward, K. J., Jackson, M. A., Xia, Y., Chen, X., et al. (2016) · Cell Systems · doi:10.1016/j.cels.2016.10.004 · Cited by 341
Self-citationPatin, É., Hasan, M., Bergstedt, J., Rouilly, V., Libri, V., Urrutia, A., Alanio, C., Šćepanović, P., Hammer, C., Jönsson, F., et al. (2018) · Nature Immunology · doi:10.1038/s41590-018-0049-7 · Cited by 305
Reese, T. A., Bi, K., Kambal, A., Filali-Mouhim, A., Beura, L. K., Bürger, M. C., Pulendran, B., Sekaly, R.-P., Jameson, S. C., Masopust, D., et al. (2016) · Cell Host & Microbe · doi:10.1016/j.chom.2016.04.003 · Cited by 246
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Host genetics and infectious disease: new tools, insights and translational opportunities
Kwok, A. J., Mentzer, A. J., & Knight, J. C. (2020) · Nature Reviews Genetics · doi:10.1038/s41576-020-00297-6 · Cited by 252
Piasecka, B., Duffy, D., Urrutia, A., Quach, H., Patin, É., Posseme, C., Bergstedt, J., Charbit, B., Rouilly, V., MacPherson, C. R., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1714765115 · Cited by 223
Normalizing and denoising protein expression data from droplet-based single cell profiling
Mulè, M. P., Martins, A. J., & Tsang, J. S. (2022) · Nature Communications · doi:10.1038/s41467-022-29356-8 · Cited by 197
Regulation of the T Cell Response by CD39
Takenaka, M. C., Robson, S. C., & Quintana, F. J. (2016) · Trends in Immunology · doi:10.1016/j.it.2016.04.009 · Cited by 211
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Aguirre‐Gamboa, R., Joosten, I., Urbano, P. C. M., Molen, R. G. V. D., van Rijssen, E., van Cranenbroek, B., Oosting, M., Smeekens, S. P., Jaeger, M., Zorro, M. M., et al. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.10.053 · Cited by 191
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Walker, K. A., Basisty, N., Wilson, D. M., & Ferrucci, L. (2022) · Journal of Clinical Investigation · doi:10.1172/jci158448 · Cited by 189
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Li, Y., Oosting, M., Deelen, P., Ricaño-Ponce, I., Smeekens, S. P., Jaeger, M., Matzaraki, V., Swertz, M. A., Xavier, R. J., Franke, L., et al. (2016) · Nature Medicine · doi:10.1038/nm.4139 · Cited by 200
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Timperi, E., & Barnaba, V. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22158068 · Cited by 191
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Liston, A., Humblet-Baron, S., Duffy, D., & Goris, A. (2021) · Nature Immunology · doi:10.1038/s41590-021-01058-1 · Cited by 187
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Fujita, M., Gao, Z., Zeng, L., Aubin, C., White, C. C., Ng, B., Green, G. S., Rozenblatt–Rosen, O., Phillips, D., Amir-Zilberstein, L., et al. (2024) · Nature Genetics · doi:10.1038/s41588-024-01685-y · Cited by 196
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Mangino, M., Roederer, M., Beddall, M. H., Nestle, F. O., & Spector, T. D. (2017) · Nature Communications · doi:10.1038/ncomms13850 · Cited by 154
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Hoffmann, M., Pantazis, N., Martin, G. E., Hickling, S., Hurst, J. M., Meyerowitz, J., Willberg, C. B., Robinson, N., Brown, H. L., Fisher, M., et al. (2016) · PLoS Pathogens · doi:10.1371/journal.ppat.1005661 · Cited by 151
Alwan, W., & Nestle, F. O. (2015) · PubMed · Cited by 148
Self-citationMulticohort analysis reveals baseline transcriptional predictors of influenza vaccination responses
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Schneider, E., Winzer, R., Rissiek, A., Ricklefs, I., Meyer‐Schwesinger, C., Ricklefs, F. L., Bauche, A., Behrends, J., Reimer, R., Brenna, S., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-26134-w · Cited by 151
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Liston, A., Carr, E. J., & Linterman, M. A. (2016) · Trends in Immunology · doi:10.1016/j.it.2016.08.002 · Cited by 149
Lin, J., & Leonard, W. J. (2019) · Annual Review of Immunology · doi:10.1146/annurev-immunol-042718-041447 · Cited by 150
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Lim, Y. W., Chen‐Harris, H., Mayba, O., Lianoglou, S., Wüster, A., Bhangale, T., Khan, Z., Mariathasan, S., Daemen, A., Reeder, J., et al. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1804506115 · Cited by 120
Merah‐Mourah, F., Cohen, S., Charron, D. J., Mooney, N., & Haziot, A. (2020) · Scientific Reports · doi:10.1038/s41598-020-61022-1 · Cited by 127
Parnell, G. P., & Booth, D. R. (2017) · Frontiers in Immunology · doi:10.3389/fimmu.2017.00425 · Cited by 128
Glastonbury, C. A., Couto Alves, A., El-Sayed Moustafa, J. S., & Small, K. S. (2019) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2019.03.025 · Cited by 114
Quigley, K. M., Willis, B. L., & Bay, L. K. (2017) · Scientific Reports · doi:10.1038/s41598-017-08179-4 · Cited by 120
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Self-citationDavis, M. M., & Brodin, P. (2018) · Annual Review of Immunology · doi:10.1146/annurev-immunol-042617-053206 · Cited by 76
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Gibson, D. J., Elliott, L., McDermott, E., Tosetto, M., Keegan, D., Byrne, K., Martin, S. T., Rispens, T., Cullen, G., Mulcahy, H. E., et al. (2015) · Inflammatory Bowel Diseases · doi:10.1097/mib.0000000000000566 · Cited by 62
Mettelman, R. C., Souquette, A. H., de Velde, L.-A. V., Vegesana, K., Allen, E. K., Kackos, C. M., Trifkovic, S., DeBeauchamp, J., Wilson, T. L., James, D. G. S., et al. (2023) · Nature Immunology · doi:10.1038/s41590-023-01590-2 · Cited by 62
Tsao, T., Tsai, M.-J., Hwang, J., Cheng, W., Wu, C., Chou, C. C. ‐., & Su, T. (2018) · Oncotarget · doi:10.18632/oncotarget.24741 · Cited by 64
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Su, B., Dispinseri, S., Iannone, V., Zhang, T., Wu, H., Carapito, R., Bahram, S., Scarlatti, G., & Moog, C. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.02968 · Cited by 60
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Sordo‐Bahamonde, C., Vitale, M., Lorenzo‐Herrero, S., López‐Soto, A., & Gonzalez, S. R. (2020) · Cancers · doi:10.3390/cancers12040893 · Cited by 66
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Crittenden, S., Cheyne, A., Adams, A. T., Forster, T., Robb, C. T., Felton, J. M., Ho, G., Rückerl, D., Rossi, A. G., Anderton, S. M., et al. (2018) · Immunology and Cell Biology · doi:10.1111/imcb.12167 · Cited by 60
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Leelatian, N., Doxie, D. B., Greenplate, A. R., Sinnaeve, J., Ihrie, R. A., & Irish, J. M. (2017) · Current Protocols in Molecular Biology · doi:10.1002/cpmb.37 · Cited by 58
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Liechti, T., & Roederer, M. (2018) · Cytometry Part A · doi:10.1002/cyto.a.23689 · Cited by 56
Self-citationCutforth, T., DeMille, M. M. C., Agalliu, I., & Agalliu, D. (2016) · Future Neurology · doi:10.2217/fnl.16.4 · Cited by 58
Botafogo, V., Pérez‐Andrés, M., Jara‐Acevedo, M., Bárcena, P., Grigore, G. E., Hernández-Delgado, A., Damasceno, D., Comans, S. E. T., Blanco, E., Romero, A. E., et al. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.00166 · Cited by 55
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Tesi, B., Schlums, H., Cichocki, F. M., & Bryceson, Y. T. (2016) · Trends in Immunology · doi:10.1016/j.it.2016.04.006 · Cited by 62
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Lu, Y. C., Biancotto, A., Cheung, F., Remmers, E. F., Shah, N., McCoy, J. P., & Tsang, J. S. (2016) · Immunity · doi:10.1016/j.immuni.2016.10.025 · Cited by 51
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Clave, E., Araujo, I. L., Alanio, C., Patin, É., Bergstedt, J., Urrutia, A., Lopez‐Lastra, S., Li, Y., Charbit, B., MacPherson, C. R., et al. (2018) · Science Translational Medicine · doi:10.1126/scitranslmed.aao2966 · Cited by 53
Viatte, S., Massey, J., Bowes, J., Duffus, K., Eyre, S., Barton, A. C., & Worthington, J. (2016) · Arthritis & Rheumatology · doi:10.1002/art.39619 · Cited by 46
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Pastore, F. (2016) · World Journal of Hepatology · doi:10.4254/wjh.v8.i2.83 · Cited by 43
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Self-citationEmbracing Complexity beyond Systems Medicine: A New Approach to Chronic Immune Disorders
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Metadata
- Authors
- Roederer, M., Quaye, L., Mangino, M., Beddall, M. H., Mahnke, Y., Chattopadhyay, P., Tosi, I., Napolitano, L., Terranova Barberio, M., Menni, C., Villanova, F., Di Meglio, P., Spector, T. D., & Nestle, F. O.
- Affiliations
- National Institutes of Health (US)
- King's College London (GB)
- St Thomas' Hospital (GB)
- Corresponding author
- Roederer, Mario
- Spector, Tim D.
- ORCID
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2015-04
- Volume
- 161
- Issue
- 2
- Pages
- 387-403
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC4393780
- OpenAlex
- W2080215939
- Cited by
- 296
- References
- 63
- Citations by year
- 2026: 11 · 2025: 17 · 2024: 27 · 2023: 26 · 2022: 29 · 2021: 27 · 2020: 38 · 2019: 29 · 2018: 31 · 2017: 22 · 2016: 29 · 2015: 10
- FWCI
- 20.95
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Research Portal (King's College London) (submittedVersion, cc-by-nc-nd)
- Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano) (submittedVersion, other-oa)
- Funders
- Wellcome Trust
- National Institute for Health and Care Research (NF-SI-0514-10027)
- King's College London
- National Institutes of Health (Z99 AI999999)
- Medical Research Council (MR/J006742/1)
- National Institute of Allergy and Infectious Diseases (ZIAAI005021, ZIAAI005020)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
- Health Sciences › Medicine › Clinical Neurology › Multiple Sclerosis Research Studies
- Keywords
- immune traits, heritability, immune cell subsets, regulatory T cells, autoimmune disease susceptibility, infection susceptibility, genetic loci, single nucleotide polymorphisms, twin studies, immunophenotyping, pathogenesis
- MeSH terms
- Adult, Aged, Autoimmune Diseases, Female, Humans, Immune System Diseases, Leukocytes, Middle Aged, Immunophenotyping, Receptors, IgG, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, T-Lymphocytes, Regulatory, Genome-Wide Association Study
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