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Dive into the research topics where Johanna Hadler is active.

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Featured researches published by Johanna Hadler.


Nature Genetics | 2013

Identification of multiple risk variants for ankylosing spondylitis through high-density genotyping of immune-related loci

Adrian Cortes; Johanna Hadler; Jenny P. Pointon; Philip C. Robinson; Tugce Karaderi; Paul Leo; Katie Cremin; Karena Pryce; Jessica Harris; Seunghun Lee; Kyung Bin Joo; Seung Cheol Shim; Michael H. Weisman; Michael M. Ward; Xiaodong Zhou; Henri Jean Garchon; Gilles Chiocchia; Johannes Nossent; Benedicte A. Lie; Øystein Førre; Jaakko Tuomilehto; Kari Laiho; Lei Jiang; Yu Liu; Xin Wu; Linda A. Bradbury; Dirk Elewaut; Ruben Burgos-Vargas; Simon Stebbings; L. H. Appleton

Ankylosing spondylitis is a common, highly heritable inflammatory arthritis affecting primarily the spine and pelvis. In addition to HLA-B*27 alleles, 12 loci have previously been identified that are associated with ankylosing spondylitis in populations of European ancestry, and 2 associated loci have been identified in Asians. In this study, we used the Illumina Immunochip microarray to perform a case-control association study involving 10,619 individuals with ankylosing spondylitis (cases) and 15,145 controls. We identified 13 new risk loci and 12 additional ankylosing spondylitis–associated haplotypes at 11 loci. Two ankylosing spondylitis–associated regions have now been identified encoding four aminopeptidases that are involved in peptide processing before major histocompatibility complex (MHC) class I presentation. Protective variants at two of these loci are associated both with reduced aminopeptidase function and with MHC class I cell surface expression.


PLOS Genetics | 2011

Genome-wide association study using extreme truncate selection identifies novel genes affecting bone mineral density and fracture risk

Emma L. Duncan; Patrick Danoy; John P. Kemp; Paul Leo; Eugene McCloskey; Geoffrey C. Nicholson; Richard Eastell; Richard L. Prince; John A. Eisman; Graeme Jones; P. Sambrook; Ian R. Reid; Elaine M. Dennison; John D. Wark; J.B. Richards; A.G. Uitterlinden; Tim D. Spector; C. Esapa; Roger D. Cox; Steve D.M. Brown; Rajesh V. Thakker; K. Addison; Linda A. Bradbury; C Cooper; C. Cremin; Karol Estrada; Dieter Felsenberg; Claus-C. Glüer; Johanna Hadler; Margaret J. Henry

Osteoporotic fracture is a major cause of morbidity and mortality worldwide. Low bone mineral density (BMD) is a major predisposing factor to fracture and is known to be highly heritable. Site-, gender-, and age-specific genetic effects on BMD are thought to be significant, but have largely not been considered in the design of genome-wide association studies (GWAS) of BMD to date. We report here a GWAS using a novel study design focusing on women of a specific age (postmenopausal women, age 55–85 years), with either extreme high or low hip BMD (age- and gender-adjusted BMD z-scores of +1.5 to +4.0, n = 1055, or −4.0 to −1.5, n = 900), with replication in cohorts of women drawn from the general population (n = 20,898). The study replicates 21 of 26 known BMD–associated genes. Additionally, we report suggestive association of a further six new genetic associations in or around the genes CLCN7, GALNT3, IBSP, LTBP3, RSPO3, and SOX4, with replication in two independent datasets. A novel mouse model with a loss-of-function mutation in GALNT3 is also reported, which has high bone mass, supporting the involvement of this gene in BMD determination. In addition to identifying further genes associated with BMD, this study confirms the efficiency of extreme-truncate selection designs for quantitative trait association studies.


Bioenergy Research | 2008

Pongamia pinnata : An Untapped Resource for the Biofuels Industry of the Future

Paul T. Scott; Lisette Pregelj; Ning Chen; Johanna Hadler; Michael A. Djordjevic; Peter M. Gresshoff

Pongamia pinnata (L.) Pierre is a fast-growing leguminous tree with the potential for high oil seed production and the added benefit of the ability to grow on marginal land. These properties support the suitability of this plant for large-scale vegetable oil production required by a sustainable biodiesel industry. The future success of P. pinnata as a sustainable source of feedstock for the biofuels industry is dependent on an extensive knowledge of the genetics, physiology and propagation of this legume. In particular, research should be targeted to maximizing plant growth as it relates to oil biosynthesis. This review assesses and integrates the biological, chemical and genetic attributes of the plant, providing the basis for future research into Pongamia’s role in an emerging industry.


Arthritis & Rheumatism | 2014

Novel risk loci for rheumatoid arthritis in han chinese and congruence with risk variants in europeans

Lei Jiang; Jian Yin; Lingying Ye; Jian Yang; Gibran Hemani; A. J. Liu; Hejian Zou; Dongyi He; Lingyun Sun; Xiaofeng Zeng; Zhanguo Li; Yi Zheng; Yiping Lin; Yi Liu; Yongfei Fang; Jianhua Xu; Yinong Li; Shengming Dai; Jianlong Guan; Lindi Jiang; Qianghua Wei; Yi Wang; Yang Li; Cibo Huang; Xiaoxia Zuo; Yu Liu; Xin Wu; Libin Zhang; Ling Zhou; Qing Zhang

To investigate differences in genetic risk factors for rheumatoid arthritis (RA) in Han Chinese as compared with Europeans.


Human Molecular Genetics | 2013

Resequencing and fine-mapping of the chromosome 12q13-14 locus associated with multiple sclerosis refines the number of implicated genes

A. Cortes; Judith Field; Evgeny A. Glazov; Johanna Hadler; Jim Stankovich; Matthew A. Brown

Multiple sclerosis (MS) is a common chronic inflammatory disease of the central nervous system. Susceptibility to the disease is affected by both environmental and genetic factors. Genetic factors include haplotypes in the histocompatibility complex (MHC) and over 50 non-MHC loci reported by genome-wide association studies. Amongst these, we previously reported polymorphisms in chromosome 12q13-14 with a protective effect in individuals of European descent. This locus spans 288 kb and contains 17 genes, including several candidate genes which have potentially significant pathogenic and therapeutic implications. In this study, we aimed to fine-map this locus. We have implemented a two-phase study: a variant discovery phase where we have used next-generation sequencing and two target-enrichment strategies [long-range polymerase chain reaction (PCR) and Nimblegens solution phase hybridization capture] in pools of 25 samples; and a genotyping phase where we genotyped 712 variants in 3577 healthy controls and 3269 MS patients. This study confirmed the association (rs2069502, P = 9.9 × 10(-11), OR = 0.787) and narrowed down the locus of association to an 86.5 kb region. Although the study was unable to pinpoint the key-associated variant, we have identified a 42 (genotyped and imputed) single-nucleotide polymorphism haplotype block likely to harbour the causal variant. No evidence of association at previously reported low-frequency variants in CYP27B1 was observed. As part of the study we compared variant discovery performance using two target-enrichment strategies. We concluded that our pools enriched with Nimblegens solution phase hybridization capture had better sensitivity to detect true variants than the pools enriched with long-range PCR, whilst specificity was better in the long-range PCR-enriched pools compared with solution phase hybridization capture enriched pools; this result has important implications for the design of future fine-mapping studies.


Arthritis & Rheumatism | 2014

Incorrect Institutional Affiliations of Authors in the Article by Jiang et al (Arthritis Rheumatol, May 2014)

Lei Jiang; Jian Yin; Lingying Ye; Jian Yang; Gibran Hemani; A. J. Liu; Hejian Zou; Dongyi He; Lingyun Sun; Xiaofeng Zeng; Zhanguo Li; Yi Zheng; Yiping Lin; Yi Liu; Yongfei Fang; Jianhua Xu; Yinong Li; Shengming Dai; Jianlong Guan; Lindi Jiang; Qianghua Wei; Yi Wang; Yang Li; Cibo Huang; Xiaoxia Zuo; Yu Liu; Xin Wu; Libin Zhang; Ling Zhou; Qing Zhang

responses. Swiss Med Wkly 2010;140:w13042. 31. Saegusa K, Ishimaru N, Yanagi K, Arakaki R, Ogawa K, Saito I, et al. Cathepsin S inhibitor prevents autoantigen presentation and autoimmunity. J Clin Invest 2002;110:361–9. 32. Reddy VY, Zhang QY, Weiss SJ. Pericellular mobilization of the tissue-destructive cysteine proteinases, cathepsins B, L, and S, by human monocyte-derived macrophages. Proc Natl Acad Sci U S A 1995;92:3849–53. 33. Baugh M, Black D, Westwood P, Kinghorn E, McGregor K, Bruin J, et al. Therapeutic dosing of an orally active, selective cathepsin S inhibitor suppresses disease in models of autoimmunity. J Autoimmun 2011;36:201–9. 34. Brix K, Dunkhorst A, Mayer K, Jordans S. Cysteine cathepsins: cellular roadmap to different functions. Biochimie 2008;90: 194–207. 35. Goeb V, Salle V, Duhaut P, Jouen F, Smail A, Ducroix JP, et al. Clinical significance of autoantibodies recognizing Sjogren’s syndrome A (SSA), SSB, calpastatin and -fodrin in primary Sjogren’s syndrome. Clin Exp Immunol 2007;148:281–7. 36. Shen L, Suresh L, Lindemann M, Xuan J, Kowal P, Malyavantham K, et al. Novel autoantibodies in Sjogren’s syndrome. Clin Immunol 2012;145:251–5. 37. Tzioufas AG, Tatouli IP, Moutsopoulos HM. Autoantibodies in Sjogren’s syndrome: clinical presentation and regulatory mechanisms. Presse Med 2012;41(9 Pt 2):e451–60. 38. Kramer JM, Klimatcheva E, Rothstein TL. CXCL13 is elevated in Sjögren’s syndrome in mice and humans and is implicated in disease pathogenesis. J Leukoc Biol 2013;94:1079–89. 39. Li YN, Guo JP, He J, Liu X, Yin FR, Ding Y, et al. Serum IgA against type 3 muscarinic acetylcholine receptor is a novel marker in diagnosis of Sjogren’s syndrome. Chin Med J 2011;124:2490–5. 40. Kitagawa T, Shibasaki K, Toya S. Clinical significance and diagnostic usefulness of anti-centromere antibody in Sjogren’s syndrome. Clin Rheumatol 2012;31:105–12. 41. Kroese FG, Bootsma H. Biomarkers: new biomarker for Sjogren’s syndrome—time to treat patients. Nat Rev Rheumatol 2013;9: 570–2. 42. Maria NI, Brkic Z, Waris M, van Helden-Meeuwsen CG, Heezen K, van de Merwe JP, et al. MxA as a clinically applicable biomarker for identifying systemic interferon type I in primary Sjogren’s syndrome. Ann Rheum Dis 2013, doi:pii: annrheumdis2012-202552v1. 10.1136/annrheumdis-2012-202552. 43. Tobon GJ, Saraux A, Gottenberg JE, Quartuccio L, Fabris M, Seror R, et al. Role of Fms-like tyrosine kinase 3 ligand as a potential biologic marker of lymphoma in primary Sjögren’s syndrome. Arthritis Rheum 2013;65:3218–27. 44. Gottenberg JE, Seror R, Miceli-Richard C, Benessiano J, Devauchelle-Pensec V, Dieude P, et al. Serum levels of 2microglobulin and free light chains of immunoglobulins are associated with systemic disease activity in primary Sjogren’s syndrome: data at enrollment in the prospective ASSESS cohort. PloS One 2013;8:e59868. 45. Hu S, Vissink A, Arellano M, Roozendaal C, Zhou H, Kallenberg CG, et al. Identification of autoantibody biomarkers for primary Sjogren’s syndrome using protein microarrays. Proteomics 2011; 11:1499–507. 46. Hu S, Gao K, Pollard R, Arellano-Garcia M, Zhou H, Zhang L, et al. Preclinical validation of salivary biomarkers for primary Sjogren’s syndrome. Arthritis Care Res 2010;62:1633–8. 47. Da Costa SR, Wu K, Veigh MM, Pidgeon M, Ding C, Schechter JE, et al. Male NOD mouse external lacrimal glands exhibit profound changes in the exocytotic pathway early in postnatal development. Exp Eye Res 2006;82:33–45. 48. Haga HJ. Clinical and immunological factors associated with low lacrimal and salivary flow rate in patients with primary Sjogren’s syndrome. J Rheumatol 2002;29:305–8. 49. Vissink A, Bootsma H, Kroese FG, Kallenberg CG. How to assess treatment efficacy in Sjogren’s syndrome? Curr Opin Rheumatol 2012;24:281–9. 50. Von Thun Und Hohenstein-Blaul N, Funke S, Grus FH. Tears as a source of biomarkers for ocular and systemic diseases. Exp Eye Res 2013;117:127–37. 51. Zhou L, Beuerman RW. Tear analysis in ocular surface diseases. Prog Retin Eye Res 2012;31:527–50. 52. Tomosugi N, Kitagawa K, Takahashi N, Sugai S, Ishikawa I. Diagnostic potential of tear proteomic patterns in Sjogren’s syndrome. J Proteome Res 2005;4:820–5.


Clinical and Experimental Rheumatology | 2012

Dense genotyping of candidate genes identifies 16 new susceptibility loci in ankylosing spondylitis

A. Cortes; Philip C. Robinson; Johanna Hadler; Paul Leo; David Evans; Matthew A. Brown


Institute of Health and Biomedical Innovation | 2014

Erratum: Incorrect institutional affiliations of authors in the article by Jiang et al (Arthritis Rheumatol (2014)

L. Jiang; Jian Yin; Lingying Ye; Jian Yang; G. Hemani; A. J. Liu; Hejian Zou; Dongyi He; Linyun Sun; Xiaofeng Zeng; Z. B. Li; Y. Zheng; Yong Qi Lin; Y. B. Liu; Yongfei Fang; Jihua Xu; Y. Li; Shengming Dai; Jianlong Guan; Qianghua Wei; Y. F. Wang; Cibo Huang; Xiaoxia Zuo; Xufeng S. Wu; L. Zhang; L. Zhou; Qixiang Zhang; Tao Li; Liye Chen; Z. Xu


Institute of Health and Biomedical Innovation | 2014

Novel risk loci for rheumatoid arthritis in Han Chinese and congruence with risk variants in Europeans

L. Jiang; Jian Yin; Lingying Ye; Jian Yang; G. Hemani; A. J. Liu; Hejian Zou; Dongyi He; Linyun Sun; Xiaofeng Zeng; Z. B. Li; Y. Zheng; Yong Qi Lin; Y. Liu; Yongfei Fang; Jihua Xu; Y. Li; Shengming Dai; Jianlong Guan; Qianghua Wei; Y. F. Wang; Cibo Huang; Xiaoxia Zuo; Xufeng S. Wu; L. Zhang; L. Zhou; Qixiang Zhang; Tao Li; Liye Chen; Z. Xu


Investigative Ophthalmology & Visual Science | 2012

Identification Of Loci For Blinding Diabetic Retinopathy In A Genome Wide Association Scan

Kathryn P. Burdon; Rhys Fogarty; Mark Daniell; Sotoodeh Abhary; Mark C. Gillies; Rohan W. Essex; Alicia J. Jenkins; Johanna Hadler; Matthew A. Brown; Jamie E. Craig

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Jian Yang

University of Queensland

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Matthew A. Brown

Queensland University of Technology

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Patrick Danoy

University of Queensland

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Paul Leo

Queensland University of Technology

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Dongyi He

University of Texas Health Science Center at Houston

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A. J. Liu

Second Military Medical University

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Jian Yin

Second Military Medical University

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