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1
Genetic liability to psoriasis predicts severe disease outcomes

von Jake R. Saklatvala ; Samuel Lessard ; Maris Teder-Laving ; et al.

Genome Medicine, Vol 18, Iss 1, Pp 1-13 (2025)

Schlagworte: Skin disease; Immune-mediated inflammatory disease; Dermatology; Genetics; Genome-wide association study; Polygenic risk score; Medicine; QH426-470
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2
GWAS meta-analysis of psoriasis identifies new susceptibility alleles impacting disease mechanisms and therapeutic targets

von Nick Dand ; Philip E. Stuart ; John Bowes ; et al.

Nature Communications, Vol 16, Iss 1, Pp 1-14 (2025)

Schlagworte: Science
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3
Application of information theoretic feature selection and machine learning methods for the development of genetic risk prediction models

von Farideh Jalali-najafabadi ; Michael Stadler ; Nick Dand ; et al.

Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)

Schlagworte: Medicine; Science
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4
Development of antidrug antibodies against adalimumab maps to variation within the HLA-DR peptide-binding groove

von Teresa Tsakok ; Jake Saklatvala ; Theo Rispens ; et al.

JCI Insight, Vol 8, Iss 4 (2023)

Schlagworte: Genetics; Therapeutics; Medicine
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5
Using Real‐World Data to Guide Ustekinumab Dosing Strategies for Psoriasis: A Prospective Pharmacokinetic‐Pharmacodynamic Study

von Shan Pan ; Teresa Tsakok ; Nick Dand ; et al.

Clinical and Translational Science, Vol 13, Iss 2, Pp 400-409 (2020)

Schlagworte: Therapeutics. Pharmacology; RM1-950; Public aspects of medicine; RA1-1270
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6
Application of information theoretic feature selection and machine learning methods for the development of genetic risk prediction models.

von Jalali-Najafabadi, Farideh ; Stadler, Michael ; Dand, Nick ; et al.

nlmid: 101563288; essn: 2045-2322

Schlagworte: Adolescent; Adult; Aged; Aged, 80 and over; Algorithms; Arthritis, Psoriatic; Child; Child, Preschool; Cross-Sectional Studies; Genetic Predisposition to Disease; Humans; Infant; Infant, Newborn; Information Theory; Middle Aged; Prognosis; Risk Factors; Supervised Machine Learning; United Kingdom; Young Adult; Article
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7
Comparative Genetic Analysis of Psoriatic Arthritis and Psoriasis for the Discovery of Genetic Risk Factors and Risk Prediction Modeling.

von Soomro, Mehreen ; Stadler, Michael ; Dand, Nick ; et al.

Schlagworte: Arthritis, Psoriatic; Biological Products; Case-Control Studies; Genetic Predisposition to Disease; Humans; Psoriasis; Risk Factors; Article
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8
Application of information theoretic feature selection and machine learning methods for the development of genetic risk prediction models.

von Jalali-Najafabadi, Farideh ; Stadler, Michael ; Dand, Nick ; et al.

Schlagworte: Article; 631/114/1305; 692/4023/1670/2766/1900; article; Article
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9
Clinical Impact of Antibodies against Ustekinumab in Psoriasis: An Observational, Cross-Sectional, Multicenter Study

von Loeff, FC ; Tsakok, T ; Dijk, L ; et al.
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10
Genetic liability to psoriasis predicts severe disease outcomes

von BSTOP study group ; FinnGen ; Estonian Biobank Research Team ; et al.

Schlagworte: General medicine; internal medicine and other clinical medicine
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11
Genetic liability to psoriasis predicts severe disease outcomes.

von Saklatvala, Jake R ; Lessard, Samuel ; Teder-Laving, Maris ; et al.
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12
GWAS meta-analysis of psoriasis identifies new susceptibility alleles impacting disease mechanisms and therapeutic targets.

von Dand, Nick ; Stuart, Philip E ; Bowes, John ; et al.

Schlagworte: Psoriasis; Humans; Genome-Wide Association Study; Genetic Predisposition to Disease; Alleles; Polymorphism; Single Nucleotide; Transcriptome
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13
Using Real-World Data to Guide Ustekinumab Dosing Strategies for Psoriasis: A Prospective Pharmacokinetic-Pharmacodynamic Study.

von Pan, S ; Tsakok, T ; Dand, N ; et al.
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14
HLA-C*06:02 genotype is a predictive biomarker of biologic treatment response in psoriasis

von Dand, Nick ; Duckworth, Michael ; Baudry, David ; et al.

Dand, N, Duckworth, M, Baudry, D, Russell, A, Curtis, C J, Lee, S H, Evans, I, Mason, K, Al-Sharqi, A, Becher, G, Burden, A D, Goodwin, R, McKenna, K, Murphy, R, Perera, G, Rotarescu, R, Wahie, S, Wright, A, Reynolds, N J, Warren, R, Griffiths, CEM, Smith, C H, Simpson, M A, Barker, J N W N, The BADBIR Study Group, The BSTOP Study Group & The PSORT Consortium 2019, 'HLA-C*06:02 genotype is a predictive biomarker of biologic treatment response in psoriasis', Journal of Allergy and Clinical Immunology. https://doi.org/10.1016/j.jaci.2018.11.038

Schlagworte: HLA; Psoriasis; adalimumab; biologic therapy; genetics; pharmacogenetics; psoriatic arthritis; skin disease; treatment response; ustekinumab
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15
Defining the therapeutic range for adalimumab and predicting response in psoriasis: a multicenter prospective observational cohort study

von Wilkinson, N ; Tsakok, T ; Dand, N ; et al.
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16
The association of age at psoriasis onset and HLA-C*06:02 with biologic survival in patients with moderate-to-severe psoriasis: a cohort study from the British Association of Dermatologists Biologics and Immunomodulators Register (BADBIR).

von Alabas, OA ; Mason, KJ ; Yiu, ZZN ; et al.

Schlagworte: Humans; Adult; Cohort Studies; Ustekinumab; HLA-C Antigens; Dermatologists; Registries; Biological Factors; Adalimumab; Psoriasis; Etanercept; Immunologic Factors; Adjuvants; Immunologic; Biological Products; Treatment Outcome
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17
GWAS meta-analysis of psoriasis identifies new susceptibility alleles impacting disease mechanisms and therapeutic targets

von Nand, Nick ; Stuart, Philip ; Bowes, John ; et al.
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