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2. Toward Earlier Diagnosis Using Combined eHealth Tools in Rheumatology: The Joint Pain Assessment Scoring Tool (JPAST) Project

Author

Knitza, Johannes, Knevel, Rachel, Raza, Karim, Bruce, Tor, Eimer, Ekaterina, Gehring, Isabel, Mathsson-Alm, Linda, Poorafshar, Maryam, Hueber, Axel J, Schett, Georg, Johannesson, Martina, Catrina, Anca, and Klareskog, Lars

Subjects
Information technology, T58.5-58.64, Public aspects of medicine, RA1-1270
Abstract

Outcomes of patients with inflammatory rheumatic diseases have significantly improved over the last three decades, mainly due to therapeutic innovations, more timely treatment, and a recognition of the need to monitor response to treatment and to titrate treatments accordingly. Diagnostic delay remains a major challenge for all stakeholders. The combination of electronic health (eHealth) and serologic and genetic markers holds great promise to improve the current management of patients with inflammatory rheumatic diseases by speeding up access to appropriate care. The Joint Pain Assessment Scoring Tool (JPAST) project, funded by the European Union (EU) European Institute of Innovation and Technology (EIT) Health program, is a unique European project aiming to enable and accelerate personalized precision medicine for early treatment in rheumatology, ultimately also enabling prevention. The aim of the project is to facilitate these goals while at the same time, reducing cost for society and patients.

Published
2020
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3. Common Genetic Variation and Age of Onset of Anorexia Nervosa.

Author

Watson, Hunna J, Thornton, Laura M, Yilmaz, Zeynep, Baker, Jessica H, Coleman, Jonathan RI, Adan, Roger AH, Alfredsson, Lars, Andreassen, Ole A, Ask, Helga, Berrettini, Wade H, Boehnke, Michael, Boehm, Ilka, Boni, Claudette, Buehren, Katharina, Bulant, Josef, Burghardt, Roland, Chang, Xiao, Cichon, Sven, Cone, Roger D, Courtet, Philippe, Crow, Scott, Crowley, James J, Danner, Unna N, de Zwaan, Martina, Dedoussis, George, DeSocio, Janiece E, Dick, Danielle M, Dikeos, Dimitris, Dina, Christian, Djurovic, Srdjan, Dmitrzak-Weglarz, Monika, Docampo-Martinez, Elisa, Duriez, Philibert, Egberts, Karin, Ehrlich, Stefan, Eriksson, Johan G, Escaramís, Geòrgia, Esko, Tõnu, Estivill, Xavier, Farmer, Anne, Fernández-Aranda, Fernando, Fichter, Manfred M, Föcker, Manuel, Foretova, Lenka, Forstner, Andreas J, Frei, Oleksandr, Gallinger, Steven, Giegling, Ina, Giuranna, Johanna, Gonidakis, Fragiskos, Gorwood, Philip, Gratacòs, Mònica, Guillaume, Sébastien, Guo, Yiran, Hakonarson, Hakon, Hauser, Joanna, Havdahl, Alexandra, Hebebrand, Johannes, Helder, Sietske G, Herms, Stefan, Herpertz-Dahlmann, Beate, Herzog, Wolfgang, Hinney, Anke, Hübel, Christopher, Hudson, James I, Imgart, Hartmut, Jamain, Stephanie, Janout, Vladimir, Jiménez-Murcia, Susana, Jones, Ian R, Julià, Antonio, Kalsi, Gursharan, Kaminská, Deborah, Kaprio, Jaakko, Karhunen, Leila, Kas, Martien JH, Keel, Pamela K, Kennedy, James L, Keski-Rahkonen, Anna, Kiezebrink, Kirsty, Klareskog, Lars, Klump, Kelly L, Knudsen, Gun Peggy S, La Via, Maria C, Le Hellard, Stephanie, Leboyer, Marion, Li, Dong, Lilenfeld, Lisa, Lin, Bochao, Lissowska, Jolanta, Luykx, Jurjen, Magistretti, Pierre, Maj, Mario, Marsal, Sara, Marshall, Christian R, Mattingsdal, Morten, Meulenbelt, Ingrid, Micali, Nadia, Mitchell, Karen S, and Monteleone, Alessio Maria

Subjects
Age of onset, Anorexia nervosa, Early-onset, GWAS, Genetic risk score, Genetics, Menarche, Mendelian randomization, Puberty, Mental Health, Human Genome, Eating Disorders, Anorexia, Brain Disorders, Pediatric, Prevention, Aetiology, 2.1 Biological and endogenous factors
Abstract

BackgroundGenetics and biology may influence the age of onset of anorexia nervosa (AN). The aims of this study were to determine whether common genetic variation contributes to age of onset of AN and to investigate the genetic associations between age of onset of AN and age at menarche.MethodsA secondary analysis of the Psychiatric Genomics Consortium genome-wide association study (GWAS) of AN was performed, which included 9335 cases and 31,981 screened controls, all from European ancestries. We conducted GWASs of age of onset, early-onset AN (

Published
2022

4. Genetics of circulating inflammatory proteins identifies drivers of immune-mediated disease risk and therapeutic targets

Author

Zhao, Jing Hua, Stacey, David, Eriksson, Niclas, Macdonald-Dunlop, Erin, Hedman, Åsa K., Kalnapenkis, Anette, Enroth, Stefan, Cozzetto, Domenico, Digby-Bell, Jonathan, Marten, Jonathan, Folkersen, Lasse, Herder, Christian, Jonsson, Lina, Bergen, Sarah E., Gieger, Christian, Needham, Elise J., Surendran, Praveen, Paul, Dirk S., Polasek, Ozren, Thorand, Barbara, Grallert, Harald, Roden, Michael, Võsa, Urmo, Esko, Tonu, Hayward, Caroline, Johansson, Åsa, Gyllensten, Ulf, Powell, Nick, Hansson, Oskar, Mattsson-Carlgren, Niklas, Joshi, Peter K., Danesh, John, Padyukov, Leonid, Klareskog, Lars, Landén, Mikael, Wilson, James F., Siegbahn, Agneta, Wallentin, Lars, Mälarstig, Anders, Butterworth, Adam S., and Peters, James E.

Published
2023
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7. Publisher Correction: Deficit of homozygosity among 1.52 million individuals and genetic causes of recessive lethality

Author

Oddsson, Asmundur, Sulem, Patrick, Sveinbjornsson, Gardar, Arnadottir, Gudny A., Steinthorsdottir, Valgerdur, Halldorsson, Gisli H., Atlason, Bjarni A., Oskarsson, Gudjon R., Helgason, Hannes, Nielsen, Henriette Svarre, Westergaard, David, Karjalainen, Juha M., Katrinardottir, Hildigunnur, Fridriksdottir, Run, Jensson, Brynjar O., Tragante, Vinicius, Ferkingstad, Egil, Jonsson, Hakon, Gudjonsson, Sigurjon A., Beyter, Doruk, Moore, Kristjan H. S., Thordardottir, Helga B., Kristmundsdottir, Snaedis, Stefansson, Olafur A., Rantapää-Dahlqvist, Solbritt, Sonderby, Ida Elken, Didriksen, Maria, Stridh, Pernilla, Haavik, Jan, Tryggvadottir, Laufey, Frei, Oleksandr, Walters, G. Bragi, Kockum, Ingrid, Hjalgrim, Henrik, Olafsdottir, Thorunn A., Selbaek, Geir, Nyegaard, Mette, Erikstrup, Christian, Brodersen, Thorsten, Saevarsdottir, Saedis, Olsson, Tomas, Nielsen, Kaspar Rene, Haraldsson, Asgeir, Bruun, Mie Topholm, Hansen, Thomas Folkmann, Steingrimsdottir, Thora, Jacobsen, Rikke Louise, Lie, Rolv T., Djurovic, Srdjan, Alfredsson, Lars, Lopez de Lapuente Portilla, Aitzkoa, Brunak, Soren, Melsted, Pall, Halldorsson, Bjarni V., Saemundsdottir, Jona, Magnusson, Olafur Th., Padyukov, Leonid, Banasik, Karina, Rafnar, Thorunn, Askling, Johan, Klareskog, Lars, Pedersen, Ole Birger, Masson, Gisli, Havdahl, Alexandra, Nilsson, Bjorn, Andreassen, Ole A., Daly, Mark, Ostrowski, Sisse Rye, Jonsdottir, Ingileif, Stefansson, Hreinn, Holm, Hilma, Helgason, Agnar, Thorsteinsdottir, Unnur, Stefansson, Kari, and Gudbjartsson, Daniel F.

Published
2023
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9. Deficit of homozygosity among 1.52 million individuals and genetic causes of recessive lethality

Author

Oddsson, Asmundur, Sulem, Patrick, Sveinbjornsson, Gardar, Arnadottir, Gudny A., Steinthorsdottir, Valgerdur, Halldorsson, Gisli H., Atlason, Bjarni A., Oskarsson, Gudjon R., Helgason, Hannes, Nielsen, Henriette Svarre, Westergaard, David, Karjalainen, Juha M., Katrinardottir, Hildigunnur, Fridriksdottir, Run, Jensson, Brynjar O., Tragante, Vinicius, Ferkingstad, Egil, Jonsson, Hakon, Gudjonsson, Sigurjon A., Beyter, Doruk, Moore, Kristjan H. S., Thordardottir, Helga B., Kristmundsdottir, Snaedis, Stefansson, Olafur A., Rantapää-Dahlqvist, Solbritt, Sonderby, Ida Elken, Didriksen, Maria, Stridh, Pernilla, Haavik, Jan, Tryggvadottir, Laufey, Frei, Oleksandr, Walters, G. Bragi, Kockum, Ingrid, Hjalgrim, Henrik, Olafsdottir, Thorunn A., Selbaek, Geir, Nyegaard, Mette, Erikstrup, Christian, Brodersen, Thorsten, Saevarsdottir, Saedis, Olsson, Tomas, Nielsen, Kaspar Rene, Haraldsson, Asgeir, Bruun, Mie Topholm, Hansen, Thomas Folkmann, Steingrimsdottir, Thora, Jacobsen, Rikke Louise, Lie, Rolv T., Djurovic, Srdjan, Alfredsson, Lars, Lopez de Lapuente Portilla, Aitzkoa, Brunak, Soren, Melsted, Pall, Halldorsson, Bjarni V., Saemundsdottir, Jona, Magnusson, Olafur Th., Padyukov, Leonid, Banasik, Karina, Rafnar, Thorunn, Askling, Johan, Klareskog, Lars, Pedersen, Ole Birger, Masson, Gisli, Havdahl, Alexandra, Nilsson, Bjorn, Andreassen, Ole A., Daly, Mark, Ostrowski, Sisse Rye, Jonsdottir, Ingileif, Stefansson, Hreinn, Holm, Hilma, Helgason, Agnar, Thorsteinsdottir, Unnur, Stefansson, Kari, and Gudbjartsson, Daniel F.

Published
2023
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12. Insights into FcγR involvement in pain-like behavior induced by an RA-derived anti-modified protein autoantibody

Author

Jurczak, Alexandra, Sandor, Katalin, Bersellini Farinotti, Alex, Krock, Emerson, Hunt, Matthew A., Agalave, Nilesh M., Barbier, Julie, Simon, Nils, Wang, Zhenggang, Rudjito, Resti, Vazquez-Mora, Juan Antonio, Martinez-Martinez, Arisai, Raoof, Ramin, Eijkelkamp, Niels, Grönwall, Caroline, Klareskog, Lars, Jimenéz-Andrade, Juan Miguel, Marchand, Fabien, and Svensson, Camilla I.

Published
2023
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13. Author Correction: Genetics of circulating inflammatory proteins identifies drivers of immune-mediated disease risk and therapeutic targets

Author

Zhao, Jing Hua, Stacey, David, Eriksson, Niclas, Macdonald-Dunlop, Erin, Hedman, Åsa K., Kalnapenkis, Anette, Enroth, Stefan, Cozzetto, Domenico, Digby-Bell, Jonathan, Marten, Jonathan, Folkersen, Lasse, Herder, Christian, Jonsson, Lina, Bergen, Sarah E., Gieger, Christian, Needham, Elise J., Surendran, Praveen, Paul, Dirk S., Polasek, Ozren, Thorand, Barbara, Grallert, Harald, Roden, Michael, Võsa, Urmo, Esko, Tonu, Hayward, Caroline, Johansson, Åsa, Gyllensten, Ulf, Powell, Nick, Hansson, Oskar, Mattsson-Carlgren, Niklas, Joshi, Peter K., Danesh, John, Padyukov, Leonid, Klareskog, Lars, Landén, Mikael, Wilson, James F., Siegbahn, Agneta, Wallentin, Lars, Mälarstig, Anders, Butterworth, Adam S., and Peters, James E.

Published
2023
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14. Multi-ancestry genome-wide association analyses identify novel genetic mechanisms in rheumatoid arthritis

Author

Ishigaki, Kazuyoshi, Sakaue, Saori, Terao, Chikashi, Luo, Yang, Sonehara, Kyuto, Yamaguchi, Kensuke, Amariuta, Tiffany, Too, Chun Lai, Laufer, Vincent A., Scott, Ian C., Viatte, Sebastien, Takahashi, Meiko, Ohmura, Koichiro, Murasawa, Akira, Hashimoto, Motomu, Ito, Hiromu, Hammoudeh, Mohammed, Emadi, Samar Al, Masri, Basel K., Halabi, Hussein, Badsha, Humeira, Uthman, Imad W., Wu, Xin, Lin, Li, Li, Ting, Plant, Darren, Barton, Anne, Orozco, Gisela, Verstappen, Suzanne M. M., Bowes, John, MacGregor, Alexander J., Honda, Suguru, Koido, Masaru, Tomizuka, Kohei, Kamatani, Yoichiro, Tanaka, Hiroaki, Tanaka, Eiichi, Suzuki, Akari, Maeda, Yuichi, Yamamoto, Kenichi, Miyawaki, Satoru, Xie, Gang, Zhang, Jinyi, Amos, Christopher I., Keystone, Edward, Wolbink, Gertjan, van der Horst-Bruinsma, Irene, Cui, Jing, Liao, Katherine P., Carroll, Robert J., Lee, Hye-Soon, Bang, So-Young, Siminovitch, Katherine A., de Vries, Niek, Alfredsson, Lars, Rantapää-Dahlqvist, Solbritt, Karlson, Elizabeth W., Bae, Sang-Cheol, Kimberly, Robert P., Edberg, Jeffrey C., Mariette, Xavier, Huizinga, Tom, Dieudé, Philippe, Schneider, Matthias, Kerick, Martin, Denny, Joshua C., Matsuda, Koichi, Matsuo, Keitaro, Mimori, Tsuneyo, Matsuda, Fumihiko, Fujio, Keishi, Tanaka, Yoshiya, Kumanogoh, Atsushi, Traylor, Matthew, Lewis, Cathryn M., Eyre, Stephen, Xu, Huji, Saxena, Richa, Arayssi, Thurayya, Kochi, Yuta, Ikari, Katsunori, Harigai, Masayoshi, Gregersen, Peter K., Yamamoto, Kazuhiko, Louis Bridges, Jr, S., Padyukov, Leonid, Martin, Javier, Klareskog, Lars, Okada, Yukinori, and Raychaudhuri, Soumya

Published
2022
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15. The serological immunogenicity of the third and fourth doses of COVID-19 vaccine in patients with inflammatory rheumatic diseases on different biologic or targeted DMARDs: a Swedish nationwide study (COVID-19-REUMA)

Author

Frodlund, Martina, primary, Nived, Per, additional, Chatzidionysiou, Katerina, additional, Södergren, Anna, additional, Klingberg, Eva, additional, Hansson, Monica, additional, Ohlsson, Sophie, additional, Pin, Elisa, additional, Bengtsson, Anders, additional, Klareskog, Lars, additional, and Kapetanovic, Meliha, additional

Published
2024
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16. Variable domain N-linked glycosylation and negative surface charge are key features of monoclonal ACPA: implications for B-cell selection

Author

Lloyd, Katy A., Steen, Johanna, Amara, Khaled, Titcombe, Philip J., Israelsson, Lena, Lundstrom, Susanna L., Zhou, Diana, Zubarev, Roman A., Reed, Evan, Piccoli, Luca, Gabay, Cem, Lanzavecchia, Antonio, Baeten, Dominique, Lundberg, Karin, Mueller, Daniel L., Klareskog, Lars, Malmstrom, Vivianne, and Gronwall, Caroline

Subjects
Quantitative Biology - Biomolecules, Quantitative Biology - Cell Behavior
Abstract

Autoreactive B cells have a central role in the pathogenesis of rheumatoid arthritis (RA), and recent findings have proposed that anti-citrullinated protein autoantibodies (ACPA) may be directly pathogenic. Herein, we demonstrate the frequency of variable-region glycosylation in single-cell cloned mAbs. A total of 14 ACPA mAbs were evaluated for predicted N-linked glycosylation motifs in silico and compared to 452 highly-mutated mAbs from RA patients and controls. Variable region N-linked motifs (N-X-S/T) were strikingly prevalent within ACPA (100%) compared to somatically hypermutated (SHM) RA bone marrow plasma cells (21%), and synovial plasma cells from seropositive (39%) and seronegative RA (7%). When normalized for SHM, ACPA still had significantly higher frequency of N-linked motifs compared to all studied mAbs including highly-mutated HIV broadly-neutralizing and malaria-associated mAbs. The Fab glycans of ACPA-mAbs were highly sialylated, contributed to altered charge, but did not influence antigen binding. The analysis revealed evidence of unusual B-cell selection pressure and SHM-mediated decreased in surface charge and isoelectric point in ACPA. It is still unknown how these distinct features of anti-citrulline immunity may have an impact on pathogenesis. However, it is evident that they offer selective advantages for ACPA+ B cells, possibly also through non-antigen driven mechanisms.

Published
2018
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17. Autoreactivity to malondialdehyde-modifications in rheumatoid arthritis is linked to disease activity and synovial pathogenesis

Author

Gronwall, Caroline, Amara, Khaled, Hardt, Uta, Krishnamurthy, Akilan, Steen, Johanna, Engstrom, Marianne, Sun, Meng, Ytterberg, A. Jimmy, Zubarev, Roman A., Scheel-Toellner, Dagmar, Greenberg, Jeffrey D., Klareskog, Lars, Catrina, Anca I., Malmstrom, Vivianne, and Silverman, Gregg J.

Subjects
Quantitative Biology - Biomolecules, Quantitative Biology - Tissues and Organs
Abstract

Oxidation-associated malondialdehyde (MDA) modification of proteins can generate immunogenic neo-epitopes that are recognized by autoantibodies. In health, IgM antibodies to MDA-adducts are part of the natural antibody pool, while elevated levels of IgG anti-MDA are associated with inflammatory conditions. Yet, in human autoimmune disease IgG anti-MDA responses have not been well characterized and their potential contribution to disease pathogenesis is not known. Here, we investigate MDA-modifications and anti-MDA-modified protein autoreactivity in rheumatoid arthritis (RA). While RA is primarily associated with autoreactivity to citrullinated antigens, we also observed increases in serum IgG anti-MDA in RA patients compared to controls. IgG anti-MDA levels significantly correlated with disease activity by DAS28-ESR and serum TNF-alpha, IL-6, and CRP. Mass spectrometry analysis of RA synovial tissue identified MDA-modified proteins and revealed shared peptides between MDA-modified and citrullinated actin and vimentin. Furthermore, anti-MDA autoreactivity among synovial B cells was discovered when investigating recombinant monoclonal antibodies (mAbs) cloned from single B cells. Several clones were highly specific for MDA-modification with no cross-reactivity to other antigen modifications. The mAbs recognized MDA-adducts in a variety of proteins. Interestingly, the most reactive clone, originated from an IgG1-bearing memory B cell, was encoded by germline variable genes, and showed similarity to previously reported natural IgM. Other anti-MDA clones display somatic hypermutations and lower reactivity. These anti-MDA antibodies had significant in vitro functional properties and induced enhanced osteoclastogenesis, while the natural antibody related high-reactivity clone did not. We postulate that these may represent distinctly different facets of anti-MDA autoreactive responses.

Published
2017
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18. Genome-wide association study identifies eight risk loci and implicates metabo-psychiatric origins for anorexia nervosa

Author

Watson, Hunna J, Yilmaz, Zeynep, Thornton, Laura M, Hübel, Christopher, Coleman, Jonathan RI, Gaspar, Héléna A, Bryois, Julien, Hinney, Anke, Leppä, Virpi M, Mattheisen, Manuel, Medland, Sarah E, Ripke, Stephan, Yao, Shuyang, Giusti-Rodríguez, Paola, Hanscombe, Ken B, Purves, Kirstin L, Adan, Roger AH, Alfredsson, Lars, Ando, Tetsuya, Andreassen, Ole A, Baker, Jessica H, Berrettini, Wade H, Boehm, Ilka, Boni, Claudette, Perica, Vesna Boraska, Buehren, Katharina, Burghardt, Roland, Cassina, Matteo, Cichon, Sven, Clementi, Maurizio, Cone, Roger D, Courtet, Philippe, Crow, Scott, Crowley, James J, Danner, Unna N, Davis, Oliver SP, de Zwaan, Martina, Dedoussis, George, Degortes, Daniela, DeSocio, Janiece E, Dick, Danielle M, Dikeos, Dimitris, Dina, Christian, Dmitrzak-Weglarz, Monika, Docampo, Elisa, Duncan, Laramie E, Egberts, Karin, Ehrlich, Stefan, Escaramís, Geòrgia, Esko, Tõnu, Estivill, Xavier, Farmer, Anne, Favaro, Angela, Fernández-Aranda, Fernando, Fichter, Manfred M, Fischer, Krista, Föcker, Manuel, Foretova, Lenka, Forstner, Andreas J, Forzan, Monica, Franklin, Christopher S, Gallinger, Steven, Giegling, Ina, Giuranna, Johanna, Gonidakis, Fragiskos, Gorwood, Philip, Mayora, Monica Gratacos, Guillaume, Sébastien, Guo, Yiran, Hakonarson, Hakon, Hatzikotoulas, Konstantinos, Hauser, Joanna, Hebebrand, Johannes, Helder, Sietske G, Herms, Stefan, Herpertz-Dahlmann, Beate, Herzog, Wolfgang, Huckins, Laura M, Hudson, James I, Imgart, Hartmut, Inoko, Hidetoshi, Janout, Vladimir, Jiménez-Murcia, Susana, Julià, Antonio, Kalsi, Gursharan, Kaminská, Deborah, Kaprio, Jaakko, Karhunen, Leila, Karwautz, Andreas, Kas, Martien JH, Kennedy, James L, Keski-Rahkonen, Anna, Kiezebrink, Kirsty, Kim, Youl-Ri, Klareskog, Lars, Klump, Kelly L, Knudsen, Gun Peggy S, La Via, Maria C, Le Hellard, Stephanie, and Levitan, Robert D

Subjects
Biological Sciences, Genetics, Anorexia, Serious Mental Illness, Nutrition, Prevention, Mental Health, Clinical Research, Human Genome, Brain Disorders, Pediatric, Eating Disorders, Mental health, Adult, Anorexia Nervosa, Body Mass Index, Case-Control Studies, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Genomics, Humans, Male, Mental Disorders, Metabolic Diseases, Phenotype, Prognosis, Quantitative Trait Loci, Anorexia Nervosa Genetics Initiative, Eating Disorders Working Group of the Psychiatric Genomics Consortium, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Characterized primarily by a low body-mass index, anorexia nervosa is a complex and serious illness1, affecting 0.9-4% of women and 0.3% of men2-4, with twin-based heritability estimates of 50-60%5. Mortality rates are higher than those in other psychiatric disorders6, and outcomes are unacceptably poor7. Here we combine data from the Anorexia Nervosa Genetics Initiative (ANGI)8,9 and the Eating Disorders Working Group of the Psychiatric Genomics Consortium (PGC-ED) and conduct a genome-wide association study of 16,992 cases of anorexia nervosa and 55,525 controls, identifying eight significant loci. The genetic architecture of anorexia nervosa mirrors its clinical presentation, showing significant genetic correlations with psychiatric disorders, physical activity, and metabolic (including glycemic), lipid and anthropometric traits, independent of the effects of common variants associated with body-mass index. These results further encourage a reconceptualization of anorexia nervosa as a metabo-psychiatric disorder. Elucidating the metabolic component is a critical direction for future research, and paying attention to both psychiatric and metabolic components may be key to improving outcomes.

Published
2019

22. Minor Genetic Overlap Among Rheumatoid Arthritis, Myocardial Infarction, and Myocardial Infarction Risk Determinants.

Author

Sysojev, Anton Öberg, Alfredsson, Lars, Klareskog, Lars, Askling, Johan, Baecklund, Eva, Björkman, Lena, Kastbom, Alf, Rantapaää‐Dahlqvist, Solbritt, Turesson, Carl, Silberberg, Gilad N., Saevarsdottir, Saedis, Padyukov, Leonid, Magnusson, Patrik K. E., and Westerlind, Helga

Subjects
MYOCARDIAL infarction risk factors, RHEUMATOID arthritis risk factors, GENETICS of rheumatoid arthritis, MYOCARDIAL infarction, RISK assessment, RESEARCH funding, GENOME-wide association studies, CARDIOVASCULAR diseases risk factors, DESCRIPTIVE statistics, CONFIDENCE intervals, SINGLE nucleotide polymorphisms
Abstract

Objective: The aim of this study was to investigate whether a shared genetic susceptibility exists between individuals with rheumatoid arthritis (RA) and individuals with myocardial infarction (MI)—including major MI risk factors—and to quantify the degree of any such overlap. Methods: Genome‐wide association study (GWAS) data for individuals with RA were constructed from a sample of 26,637 Swedish patients with RA and controls without RA. For patients with MI, GWAS data were obtained from a previously published meta‐analysis. Genome‐wide genetic correlation was estimated via linkage disequilibrium score regression. LAVA was employed to estimate local genetic correlations in ~2,500 nonoverlapping loci, including the major histocompatibility complex. The controls without RA were used for reference panel data. We also assessed stratified estimates of both genome‐wide and local genetic correlation based on subsamples of individuals with seropositive RA and those with seronegative RA. Furthermore, genome‐wide genetic correlation was estimated between RA and selected cardiovascular risk factors to elucidate pleiotropic relationships. Results: Following quality control, our GWAS of patients with RA consisted of 25,826 individuas. Genome‐wide genetic correlation between patients with RA and MI was estimated to 0.13 (95% confidence interval –0.03 to 0.29). Six regions exhibited significant local genetic correlation, though none harbored any known risk single‐nucleotide polymorphisms for either of the two traits. Estimates were similar in both individuals with seropositive RA and those with seronegative RA. No statistically significant genetic correlations were observed between RA risk factors and any of the MI risk factors. Conclusion: Our findings indicate that genetic overlap between patients with RA and MI is minor. Furthermore, genetic overlap between RA and MI risk factors seem unlikely to provide a major contribution to the increased risk of MI observed in patients with RA. [ABSTRACT FROM AUTHOR]

Published
2024
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24. Conversion of monoclonal IgG to dimeric and secretory IgA restores neutralizing ability and prevents infection of Omicron lineages

Author

Marcotte, Harold, primary, Cao, Yunlong, additional, Zuo, Fanglei, additional, Simonelli, Luca, additional, Sammartino, Josè Camilla, additional, Pedotti, Mattia, additional, Sun, Rui, additional, Cassaniti, Irene, additional, Hagbom, Marie, additional, Piralla, Antonio, additional, Yang, Jinxuan, additional, Du, Likun, additional, Percivalle, Elena, additional, Bertoglio, Federico, additional, Schubert, Maren, additional, Abolhassani, Hassan, additional, Sherina, Natalia, additional, Guerra, Concetta, additional, Borte, Stephan, additional, Rezaei, Nima, additional, Kumagai-Braesch, Makiko, additional, Xue, Yintong, additional, Su, Chen, additional, Yan, Qihong, additional, He, Ping, additional, Grönwall, Caroline, additional, Klareskog, Lars, additional, Calzolai, Luigi, additional, Cavalli, Andrea, additional, Wang, Qiao, additional, Robbiani, Davide F., additional, Hust, Michael, additional, Shi, Zhengli, additional, Feng, Liqiang, additional, Svensson, Lennart, additional, Chen, Ling, additional, Bao, Linlin, additional, Baldanti, Fausto, additional, Xiao, Junyu, additional, Qin, Chuan, additional, Hammarström, Lennart, additional, Yang, Xinglou, additional, Varani, Luca, additional, Xie, Xiaoliang Sunney, additional, and Pan-Hammarström, Qiang, additional

Published
2024
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26. Genome-wide investigation of persistence with methotrexate treatment in early rheumatoid arthritis.

Author

Sysojev, Anton Öberg, Saevarsdottir, Saedis, Diaz-Gallo, Lina-Marcela, Silberberg, Gilad N, Alfredsson, Lars, Klareskog, Lars, Baecklund, Eva, Björkman, Lena, Kastbom, Alf, Rantapää-Dahlqvist, Solbritt, Turesson, Carl, Jonsdottir, Ingileif, Stefansson, Kari, Frisell, Thomas, Padyukov, Leonid, Askling, Johan, and Westerlind, Helga

Subjects
CHRONIC disease risk factors, RHEUMATOID arthritis risk factors, GENETICS of rheumatoid arthritis, INFECTION risk factors, RISK assessment, GENOME-wide association studies, EARLY medical intervention, RESEARCH funding, RHEUMATOID arthritis, METHOTREXATE, TREATMENT effectiveness, ANTIRHEUMATIC agents, DESCRIPTIVE statistics, RELATIVE medical risk, SINGLE nucleotide polymorphisms
Abstract

Objectives To investigate the influence of genetic factors on persistence with treatment of early RA with MTX monotherapy. Methods We conducted a genome-wide association study (GWAS) in a sample of 3902 Swedish early-RA patients initiating MTX in DMARD monotherapy as their first-ever DMARD. The outcome, short- and long-term MTX treatment persistence, was defined as remaining on MTX at 1 and at 3 years, respectively, with no additional DMARDs added. As genetic predictors, we investigated individual SNPs, and then calculated a polygenic risk score (PRS) based on SNPs associated with RA risk. The SNP-based heritability of persistence was estimated overall and by RA serostatus. Results No individual SNP reached genome-wide significance (P  < 5 × 10−8), either for persistence at 1 year or at 3 years. The RA PRS was not significantly associated with MTX treatment persistence at 1 year [relative risk (RR) = 0.98 (0.96–1.01)] or at 3 years [RR = 0.96 (0.93–1.00)]. The heritability of MTX treatment persistence was estimated to be 0.45 (0.15–0.75) at 1 year and 0.14 (0–0.40) at 3 years. The results in seropositive RA were comparable with those in the analysis of RA overall, while heritability estimates and PRS RRs were attenuated towards the null in seronegative RA. Conclusion Despite being the largest GWAS on an MTX treatment outcome to date, no genome-wide significant associations were detected. The modest heritability observed, coupled with the broad spread of suggestively associated loci, indicate that genetic influence is of polygenic nature. Nevertheless, MTX monotherapy persistence was lower in patients with a greater genetic disposition, per the PRS, towards RA. [ABSTRACT FROM AUTHOR]

Published
2024
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27. Antibody-induced pain-like behavior and bone erosion: links to subclinical inflammation, osteoclast activity and ASIC3-dependent sensitization

Author

Jurczak, Alexandra, Delay, Lauriane, Barbier, Julie, Simon, Nils, Krock, Emerson, Sandor, Katalin, Agalave, Nilesh M., Rudjito, Resti, Wigerblad, Gustaf, Rogóż, Katarzyna, Briat, Arnaud, Miot-Noirault, Elisabeth, Martinez-Martinez, Arisai, Brömme, Dieter, Grönwall, Caroline, Malmström, Vivianne, Klareskog, Lars, Khoury, Spiro, Ferreira, Thierry, Labrum, Bonnie, Deval, Emmanuel, Jiménez-Andrade, Juan Miguel, Marchand, Fabien, and Svensson, Camilla I.

Published
2021
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28. In early rheumatoid arthritis, anticitrullinated peptide antibodies associate with low number of affected joints and rheumatoid factor associates with systemic inflammation

Author

Pertsinidou, Eleftheria, primary, Saevarsdottir, Saedis, additional, Manivel, Vivek Anand, additional, Klareskog, Lars, additional, Alfredsson, Lars, additional, Mathsson-Alm, Linda, additional, Hansson, Monika, additional, Cornillet, Martin, additional, Serre, Guy, additional, Holmdahl, Rikard, additional, Skriner, Karl, additional, Jakobsson, Per-Johan, additional, Westerlind, Helga, additional, Askling, Johan, additional, and Rönnelid, Johan, additional

Published
2023
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31. Reply

Author

Alfredsson, Lars, primary, Klareskog, Lars, additional, and Hedström, Anna Karin, additional

Published
2023
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35. The spectrum of association in HLA region with rheumatoid arthritis in a diverse Asian population: evidence from the MyEIRA case-control study

Author

Tan, Lay Kim, Too, Chun Lai, Diaz-Gallo, Lina Marcela, Wahinuddin, Sulaiman, Lau, Ing Soo, Heselynn, Hussein, Nor-Shuhaila, Shahril, Gun, Suk Chyn, Eashwary, Mageswaran, Mohd-Shahrir, Mohamed Said, Ainon, Mohd Mokhtar, Azmillah, Rosman, Muhaini, Othman, Shahnaz, Murad, Alfredsson, Lars, Klareskog, Lars, and Padyukov, Leonid

Published
2021
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36. Associations Between Attention-Deficit/Hyperactivity Disorder and Various Eating Disorders: A Swedish Nationwide Population Study Using Multiple Genetically Informative Approaches

Author

Adan, Roger, Ando, Tetsuya, Baker, Jessica, Bergen, Andrew, Berrettini, Wade, Birgegård, Andreas, Boni, Claudette, Boraska Perica, Vesna, Brandt, Harry, Burghardt, Roland, Cassina, Matteo, Cesta, Carolyn, Clementi, Maurizio, Coleman, Joni, Cone, Roger, Courtet, Philippe, Crawford, Steven, Crow, Scott, Crowley, James, Danner, Unna, Davis, Oliver, de Zwaan, Martina, Dedoussis, George, Degortes, Daniela, DeSocio, Janiece, Dick, Danielle, Dikeos, Dimitris, Dmitrzak-Weglarz, Monika, Docampo, Elisa, Egberts, Karin, Ehrlich, Stefan, Escaramís, Geòrgia, Esko, Tõnu, Estivill, Xavier, Favaro, Angela, Fernández-Aranda, Fernando, Fichter, Manfred, Finan, Chris, Fischer, Krista, Föcker, Manuel, Foretova, Lenka, Forzan, Monica, Franklin, Christopher, Gaspar, Héléna, Gonidakis, Fragiskos, Gorwood, Philip, Gratacos, Monica, Guillaume, Sébastien, Guo, Yiran, Hakonarson, Hakon, Halmi, Katherine, Hatzikotoulas, Konstantinos, Hauser, Joanna, Hebebrand, Johannes, Helder, Sietske, Hendriks, Judith, Herpertz-Dahlmann, Beate, Herzog, Wolfgang, Hilliard, Christopher, Hinney, Anke, Huckins, Laura, Hudson, James, Huemer, Julia, Imgart, Hartmut, Inoko, Hidetoshi, Jiménez-Murcia, Susana, Johnson, Craig, Jordan, Jenny, Juréus, Anders, Kalsi, Gursharan, Kaminska, Debora, Kaplan, Allan, Kaprio, Jaakko, Karhunen, Leila, Karwautz, Andreas, Kas, Martien, Kaye, Walter, Kennedy, James, Kennedy, Martin, Keski-Rahkonen, Anna, Kiezebrink, Kirsty, Kim, Youl-Ri, Klump, Kelly, Knudsen, Gun Peggy, Koeleman, Bobby, Koubek, Doris, La Via, Maria, Landén, Mikael, Levitan, Robert, Li, Dong, Lichtenstein, Paul, Lilenfeld, Lisa, Lissowska, Jolanta, Magistretti, Pierre, Maj, Mario, Mannik, Katrin, Martin, Nicholas, McDevitt, Sara, McGuffin, Peter, Merl, Elisabeth, Metspalu, Andres, Meulenbelt, Ingrid, Micali, Nadia, Mitchell, James, Mitchell, Karen, Monteleone, Palmiero, Monteleone, Alessio Maria, Mortensen, Preben, Munn-Chernoff, Melissa, Nacmias, Benedetta, Nilsson, Ida, Norring, Claes, Ntalla, Ioanna, O’Toole, Julie, Pantel, Jacques, Papezova, Hana, Parker, Richard, Rabionet, Raquel, Raevuori, Anu, Rajewski, Andrzej, Ramoz, Nicolas, Rayner, N. William, Reichborn-Kjennerud, Ted, Ricca, Valdo, Ripke, Stephan, Ritschel, Franziska, Roberts, Marion, Rotondo, Alessandro, Rybakowski, Filip, Santonastaso, Paolo, Scherag, André, Schmidt, Ulrike, Schork, Nicholas, Schosser, Alexandra, Seitz, Jochen, Slachtova, Lenka, Slagboom, P. Eline, Slof-Op’t Landt, Margarita, Slopien, Agnieszka, Smith, Tosha, Sorbi, Sandro, Strengman, Eric, Strober, Michael, Sullivan, Patrick, Szatkiewicz, Jin, Szeszenia-Dabrowska, Neonila, Tachmazidou, Ioanna, Tenconi, Elena, Thornton, Laura, Tortorella, Alfonso, Tozzi, Federica, Treasure, Janet, Tsitsika, Artemis, Tziouvas, Konstantinos, van Elburg, Annemarie, van Furth, Eric, Wade, Tracey, Wagner, Gudrun, Walton, Esther, Watson, Hunna, Woodside, D. Blake, Yao, Shuyang, Yilmaz, Zeynep, Zeggini, Eleftheria, Zerwas, Stephanie, Zipfel, Stephan, Alfredsson, Lars, Andreassen, Ole, Aschauer, Harald, Barrett, Jeffrey, Bencko, Vladimir, Carlberg, Laura, Cichon, Sven, Cohen-Woods, Sarah, Dina, Christian, Ding, Bo, Espeseth, Thomas, Floyd, James, Gallinger, Steven, Gambaro, Giovanni, Giegling, Ina, Herms, Stefan, Janout, Vladimir, Julià, Antonio, Klareskog, Lars, Le Hellard, Stephanie, Leboyer, Marion, Lundervold, Astri, Marsal, Sara, Mattingsdal, Morten, Navratilova, Marie, Ophoff, Roel, Palotie, Aarno, Pinto, Dalila, Ripatti, Samuli, Rujescu, Dan, Scherer, Stephen, Scott, Laura, Sladek, Robert, Soranzo, Nicole, Southam, Lorraine, Steen, Vidar, Wichmann, H-Erich, Widen, Elisabeth, Breen, Gerome, Bulik, Cynthia, Kuja-Halkola, Ralf, Martin, Joanna, Lu, Yi, Hübel, Christopher, Almqvist, Catarina, Thornton, Laura M., Magnusson, Patrik K., Bulik, Cynthia M., and Larsson, Henrik

Published
2019
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38. FLT3 stop mutation increases FLT3 ligand level and risk of autoimmune thyroid disease

Author

Saevarsdottir, Saedis, Olafsdottir, Thorunn A., Ivarsdottir, Erna V., Halldorsson, Gisli H., Gunnarsdottir, Kristbjorg, Sigurdsson, Asgeir, Johannesson, Ari, Sigurdsson, Jon K., Juliusdottir, Thorhildur, Lund, Sigrun H., Arnthorsson, Asgeir O., Styrmisdottir, Edda L., Gudmundsson, Julius, Grondal, Gerdur M., Steinsson, Kristjan, Alfredsson, Lars, Askling, Johan, Benediktsson, Rafn, Bjarnason, Ragnar, Geirsson, Arni J., Gudbjornsson, Bjorn, Gudjonsson, Hallgrimur, Hjaltason, Haukur, Hreidarsson, Astradur B., Klareskog, Lars, Kockum, Ingrid, Kristjansdottir, Helga, Love, Thorvardur J., Ludviksson, Bjorn R., Olsson, Tomas, Onundarson, Pall T., Orvar, Kjartan B., Padyukov, Leonid, Sigurgeirsson, Bardur, Tragante, Vinicius, Bjarnadottir, Kristbjorg, Rafnar, Thorunn, Masson, Gisli, Sulem, Patrick, Gudbjartsson, Daniel F., Melsted, Pall, Thorleifsson, Gudmar, Norddahl, Gudmundur L., Thorsteinsdottir, Unnur, Jonsdottir, Ingileif, and Stefansson, Kari

Published
2020
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40. Distinct HLA Associations with Rheumatoid Arthritis Subsets Defined by Serological Subphenotype

Author

Terao, Chikashi, Brynedal, Boel, Chen, Zuomei, Jiang, Xia, Westerlind, Helga, Hansson, Monika, Jakobsson, Per-Johan, Lundberg, Karin, Skriner, Karl, Serre, Guy, Rönnelid, Johan, Mathsson-Alm, Linda, Brink, Mikael, Dahlqvist, Solbritt Rantapää, Padyukov, Leonid, Gregersen, Peter K., Barton, Anne, Alfredsson, Lars, Klareskog, Lars, and Raychaudhuri, Soumya

Published
2019
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41. Genetics of rheumatoid arthritis contributes to biology and drug discovery.

Author

Okada, Yukinori, Wu, Di, Trynka, Gosia, Raj, Towfique, Terao, Chikashi, Ikari, Katsunori, Kochi, Yuta, Ohmura, Koichiro, Suzuki, Akari, Yoshida, Shinji, Graham, Robert, Manoharan, Arun, Ortmann, Ward, Bhangale, Tushar, Denny, Joshua, Carroll, Robert, Eyler, Anne, Greenberg, Jeffrey, Kremer, Joel, Pappas, Dimitrios, Jiang, Lei, Yin, Jian, Ye, Lingying, Su, Ding-Feng, Yang, Jian, Xie, Gang, Keystone, Ed, Westra, Harm-Jan, Esko, Tõnu, Metspalu, Andres, Zhou, Xuezhong, Gupta, Namrata, Mirel, Daniel, Stahl, Eli, Diogo, Dorothée, Cui, Jing, Liao, Katherine, Guo, Michael, Myouzen, Keiko, Kawaguchi, Takahisa, Coenen, Marieke, van Riel, Piet, van de Laar, Mart, Guchelaar, Henk-Jan, Huizinga, Tom, Dieudé, Philippe, Mariette, Xavier, Bridges, S, Zhernakova, Alexandra, Toes, Rene, Tak, Paul, Miceli-Richard, Corinne, Bang, So-Young, Lee, Hye-Soon, Martin, Javier, Gonzalez-Gay, Miguel, Rodriguez-Rodriguez, Luis, Rantapää-Dahlqvist, Solbritt, Arlestig, Lisbeth, Choi, Hyon, Kamatani, Yoichiro, Galan, Pilar, Lathrop, Mark, Eyre, Steve, Bowes, John, Barton, Anne, de Vries, Niek, Moreland, Larry, Karlson, Elizabeth, Taniguchi, Atsuo, Yamada, Ryo, Kubo, Michiaki, Liu, Jun, Bae, Sang-Cheol, Worthington, Jane, Padyukov, Leonid, Klareskog, Lars, Gregersen, Peter, Raychaudhuri, Soumya, Stranger, Barbara, De Jager, Philip, Franke, Lude, Visscher, Peter, Brown, Matthew, Yamanaka, Hisashi, Mimori, Tsuneyo, Takahashi, Atsushi, Xu, Huji, Behrens, Timothy, Siminovitch, Katherine, Momohara, Shigeki, Matsuda, Fumihiko, Yamamoto, Kazuhiko, Plenge, Robert, and Criswell, Lindsey

Subjects
Alleles, Animals, Arthritis, Rheumatoid, Asian People, Case-Control Studies, Computational Biology, Drug Discovery, Drug Repositioning, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Hematologic Neoplasms, Humans, Male, Mice, Mice, Knockout, Molecular Targeted Therapy, Polymorphism, Single Nucleotide, White People
Abstract

A major challenge in human genetics is to devise a systematic strategy to integrate disease-associated variants with diverse genomic and biological data sets to provide insight into disease pathogenesis and guide drug discovery for complex traits such as rheumatoid arthritis (RA). Here we performed a genome-wide association study meta-analysis in a total of >100,000 subjects of European and Asian ancestries (29,880 RA cases and 73,758 controls), by evaluating ∼10 million single-nucleotide polymorphisms. We discovered 42 novel RA risk loci at a genome-wide level of significance, bringing the total to 101 (refs 2 - 4). We devised an in silico pipeline using established bioinformatics methods based on functional annotation, cis-acting expression quantitative trait loci and pathway analyses--as well as novel methods based on genetic overlap with human primary immunodeficiency, haematological cancer somatic mutations and knockout mouse phenotypes--to identify 98 biological candidate genes at these 101 risk loci. We demonstrate that these genes are the targets of approved therapies for RA, and further suggest that drugs approved for other indications may be repurposed for the treatment of RA. Together, this comprehensive genetic study sheds light on fundamental genes, pathways and cell types that contribute to RA pathogenesis, and provides empirical evidence that the genetics of RA can provide important information for drug discovery.

Published
2014

42. In early rheumatoid arthritis, anticitrullinated peptide antibodies associate with low number of affected joints and rheumatoid factor associates with systemic inflammation.

Author

Pertsinidou, Eleftheria, Saevarsdottir, Saedis, Manivel, Vivek Anand, Klareskog, Lars, Alfredsson, Lars, Mathsson-Alm, Linda, Hansson, Monika, Cornillet, Martin, Serre, Guy, Holmdahl, Rikard, Skriner, Karl, Jakobsson, Per-Johan, Westerlind, Helga, Askling, Johan, and Rönnelid, Johan

Published
2024
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44. Rheumatoid Arthritis–Specific Autoimmunity in the Lung Before and at the Onset of Disease

Author

Joshua, Vijay, primary, Loberg Haarhaus, Malena, additional, Hensvold, Aase, additional, Wähämaa, Heidi, additional, Gerstner, Christina, additional, Hansson, Monika, additional, Israelsson, Lena, additional, Stålesen, Ragnhild, additional, Sköld, Magnus, additional, Grunewald, Johan, additional, Klareskog, Lars, additional, Grönwall, Caroline, additional, Réthi, Bence, additional, Catrina, Anca, additional, and Malmström, Vivianne, additional

Published
2023
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47. Quantifying missing heritability at known GWAS loci.

Author

Vilhjalmsson, Bjarni, Diogo, Dorothée, Stahl, Eli, Gregersen, Peter, Worthington, Jane, Klareskog, Lars, Raychaudhuri, Soumya, Plenge, Robert, Price, Alkes, Gusev, Alexander, Bhatia, Gaurav, Pasaniuc, Bogdan, and Zaitlen, Noah

Subjects
Alleles, Arthritis, Rheumatoid, Crohn Disease, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Linkage Disequilibrium, Models, Theoretical, Multiple Sclerosis, Polymorphism, Single Nucleotide
Abstract

Recent work has shown that much of the missing heritability of complex traits can be resolved by estimates of heritability explained by all genotyped SNPs. However, it is currently unknown how much heritability is missing due to poor tagging or additional causal variants at known GWAS loci. Here, we use variance components to quantify the heritability explained by all SNPs at known GWAS loci in nine diseases from WTCCC1 and WTCCC2. After accounting for expectation, we observed all SNPs at known GWAS loci to explain 1.29 x more heritability than GWAS-associated SNPs on average (P=3.3 x 10⁻⁵). For some diseases, this increase was individually significant: 2.07 x for Multiple Sclerosis (MS) (P=6.5 x 10⁻⁹) and 1.48 x for Crohns Disease (CD) (P = 1.3 x 10⁻³); all analyses of autoimmune diseases excluded the well-studied MHC region. Additionally, we found that GWAS loci from other related traits also explained significant heritability. The union of all autoimmune disease loci explained 7.15 x more MS heritability than known MS SNPs (P < 1.0 x 10⁻¹⁶ and 2.20 x more CD heritability than known CD SNPs (P = 6.1 x 10⁻⁹), with an analogous increase for all autoimmune diseases analyzed. We also observed significant increases in an analysis of > 20,000 Rheumatoid Arthritis (RA) samples typed on ImmunoChip, with 2.37 x more heritability from all SNPs at GWAS loci (P = 2.3 x 10⁻⁶) and 5.33 x more heritability from all autoimmune disease loci (P < 1 x 10⁻¹⁶ compared to known RA SNPs (including those identified in this cohort). Our methods adjust for LD between SNPs, which can bias standard estimates of heritability from SNPs even if all causal variants are typed. By comparing adjusted estimates, we hypothesize that the genome-wide distribution of causal variants is enriched for low-frequency alleles, but that causal variants at known GWAS loci are skewed towards common alleles. These findings have important ramifications for fine-mapping study design and our understanding of complex disease architecture.

Published
2013

48. Genetics of circulating inflammatory proteins identifies drivers of immune-mediated 22 disease risk and therapeutic targets

Author

Zhao, Jing Hua, Stacey, David, Eriksson, Niclas, Macdonald-Dunlop, Erin, Hedman, Asa K, Kalnapenkis, Anette, Enroth, Stefan, Cozzetto, Domenico, Digby-Bell, Jonathan, Marten, Jonathan, Folkersen, Lasse, Herder, Christian, Jonsson, Lina, Bergen, Sarah E, Geiger, Christian, Needham, Elise J, Surendran, Praveen, Paul, Dirk S, Polasek, Ozren, Thorand, Barbara, Grallert, Harald, Roden, Michael, Võsa, Urmo, Esko, Tonu, Hayward, Caroline, Johansson, Asa, Gyllensten, Ulf, Powell, Nicholas, Hansson, Oskar, Mattsson-Carlgren, Niklas, Joshi, Peter K, Danesh, John, Padyukov, Leonid, Klareskog, Lars, Landén, Mikael, Wilson, James F, Siegbahn, Agneta, Wallentin, Lars, Mälarstig, Anders, Butterworth, Adam S, Peters, James E, and Apollo - University of Cambridge Repository

Abstract

Circulating proteins have important functions in inflammation and a broad range of diseases. To identify genetic influences on inflammation-related proteins, we conducted a genome-wide protein quantitative trait locus (pQTL) study of 91 plasma proteins measured using the Olink Target platform in 14,824 participants. We identify 180 pQTLs (59 cis, 121 trans). Integration of pQTL data with eQTL and disease GWAS provided insight into pathogenesis, implicating lymphotoxin-α in multiple sclerosis. Using Mendelian randomisation (MR) to assess causality in aetiology, we identify both shared and distinct effects of specific proteins across immune mediated diseases, including directionally discordant functions for CD40 in rheumatoid arthritis versus multiple sclerosis and inflammatory bowel disease. MR implicated CXCL5 in the aetiology of ulcerative colitis (UC) and we show elevated gut CXCL5 transcript expression in patients with UC. These results identify targets for existing drugs and provide a powerful resource to facilitate future drug target prioritisation.

Published
2023
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49. Mapping pQTLs of circulating inflammatory proteins identifies drivers of immune-mediated disease risk and novel therapeutic targets

Author

Zhao, Jing Hua, Stacey, David, Eriksson, Niclas, Macdonald-Dunlop, Erin, Hedman, Asa K, Kalnapenkis, Anette, Enroth, Stefan, Cozzetto, Domenico, Digby-Bell, Jonathan, Marten, Jonathan, Folkersen, Lasse, Herder, Christian, Jonsson, Lina, Bergen, Sarah E, Geiger, Christian, J Needham, Elise, Surendran, Praveen, Pau, Dirk S, Polasek, Ozren, Thorand, Barbara, Graller, Harald, Roden, Michael, Võsa, Urmo, Esko, Tonu, Hayward, Caroline, Johansson, Asa, Gyllensten, Ulf, Powell, Nicholas, Hansson, Oskar, Mattsson-Carlgren, Niklas, Joshi, Peter K, Danesh, Josh, Padyukov, Leonid, Klareskog, Lars, Landén, Mikael, Wilson, James F, Siegbahn, Agneta, Wallentin, Lars, Mälarstig, Anders, Butterworth, Adam, Peters, James E, and Apollo - University of Cambridge Repository

Abstract

Circulating proteins play key roles in inflammation and a broad range of diseases. To identify genetic influences on inflammation-related proteins, we conducted a genome-wide protein quantitative trait locus (pQTL) study of 91 plasma proteins measured using the Olink Target platform in 14,824 participants. We identified 180 pQTLs, of which 50 were novel. Integration of pQTL data with eQTL and disease GWAS provided insights into pathogenesis, implicating lymphotoxin-alpha (LTA) in multiple sclerosis. Using Mendelian randomisation (MR), we identified both shared and distinct effects of specific proteins across immune-mediated diseases, including directionally discordant causal roles for CD40 in rheumatoid arthritis, multiple sclerosis and inflammatory bowel disease. Our results highlight novel potential therapeutic avenues, including CXCL5 in ulcerative colitis (UC), a finding supported by elevated gut CXCL5 expression in UC patients. Our data provide a powerful resource to facilitate future drug target prioritization.

Published
2023
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50. Fine-mapping and functional studies highlight potential causal variants for rheumatoid arthritis and type 1 diabetes

Author

Westra, Harm-Jan, Martínez-Bonet, Marta, Onengut-Gumuscu, Suna, Lee, Annette, Luo, Yang, Teslovich, Nikola, Worthington, Jane, Martin, Javier, Huizinga, Tom, Klareskog, Lars, Rantapaa-Dahlqvist, Solbritt, Chen, Wei-Min, Quinlan, Aaron, Todd, John A., Eyre, Steve, Nigrovic, Peter A., Gregersen, Peter K., Rich, Stephen S., and Raychaudhuri, Soumya

Published
2018
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