Multicytokine-based transcriptome-wide association study for 7 inflammatory skin disorders identifies candidate causal genes in keratinocytes.
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| Title: | Multicytokine-based transcriptome-wide association study for 7 inflammatory skin disorders identifies candidate causal genes in keratinocytes. |
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| Authors: | Zhang H; Department of Biostatistics, University of Michigan, Ann Arbor, Mich., Patrick MT; Department of Dermatology, University of Michigan Medical School, Ann Arbor, Mich., Sarkar MK; Department of Dermatology, University of Michigan Medical School, Ann Arbor, Mich., Bogle R; Department of Dermatology, University of Michigan Medical School, Ann Arbor, Mich., Li Q; Department of Biostatistics, University of Michigan, Ann Arbor, Mich., Uppala R; Department of Dermatology, University of Michigan Medical School, Ann Arbor, Mich., Perez White BE; Department of Dermatology, Feinberg School of Medicine, Northwestern University, Chicago, Ill., Petukhova L; Department of Dermatology, Grossman School of Medicine, New York University, New York, New York., Dand N; Department of Medical and Molecular Genetics, School of Basic & Medical Biosciences, King's College London, London, United Kingdom., Stuart PE; Department of Dermatology, University of Michigan Medical School, Ann Arbor, Mich., Christiano AM; Department of Dermatology, Columbia University, New York, New York., Simpson MA; Department of Medical and Molecular Genetics, School of Basic & Medical Biosciences, King's College London, London, United Kingdom., Barker JN; St John's Institute of Dermatology, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom., Weidinger S; Department of Dermatology, University Hospital, Schleswig-Holstein, Christian-Albrechts-University, Kiel, Germany., Modlin RL; Department of Internal Medicine, Division of Dermatology, University of California, Los Angeles, Calif., Betz RC; Institute of Human Genetics, University of Bonn, Medical Faculty & University Hospital Bonn, Bonn, Germany., Khanna D; Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Mich., Varga J; Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Mich., Kahlenberg JM; Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Mich; Taubman Medical Research Institute, University of Michigan Medical School, Ann Arbor, Mich., He K; Department of Biostatistics, University of Michigan, Ann Arbor, Mich., Elder JT; Department of Dermatology, University of Michigan Medical School, Ann Arbor, Mich; Ann Arbor Veterans Affairs Hospital, Ann Arbor, Mich., Zhou X; Department of Statistics and Data Science, Yale University, New Haven, Conn., Gudjonsson JE; Department of Dermatology, University of Michigan Medical School, Ann Arbor, Mich; Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Mich; Ann Arbor Veterans Affairs Hospital, Ann Arbor, Mich., Tsoi LC; Department of Biostatistics, University of Michigan, Ann Arbor, Mich; Department of Dermatology, University of Michigan Medical School, Ann Arbor, Mich; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Mich. Electronic address: alextsoi@umich.edu. |
| Source: | The Journal of allergy and clinical immunology [J Allergy Clin Immunol] 2026 May 26. Date of Electronic Publication: 2026 May 26. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Mosby Country of Publication: United States NLM ID: 1275002 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1097-6825 (Electronic) Linking ISSN: 00916749 NLM ISO Abbreviation: J Allergy Clin Immunol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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