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Genome-wide association study in alopecia areata implicates both innate and adaptive immunity.

Lynn Petukhova, Madeleine Duvic, Maria Hordinsky, David Norris, Vera Price et al.
Other Nature 2010 756 次引用
PubMed DOI
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Study Design

研究类型
Observational Study
样本量
4332
干预措施
Genome-wide association study in alopecia areata implicates both innate and adaptive immunity.
对照组
Placebo
效应方向
Positive
偏倚风险
Low

Abstract

Alopecia areata (AA) is among the most highly prevalent human autoimmune diseases, leading to disfiguring hair loss due to the collapse of immune privilege of the hair follicle and subsequent autoimmune attack. The genetic basis of AA is largely unknown. We undertook a genome-wide association study (GWAS) in a sample of 1,054 cases and 3,278 controls and identified 139 single nucleotide polymorphisms that are significantly associated with AA (P <or= 5 x 10(-7)). Here we show an association with genomic regions containing several genes controlling the activation and proliferation of regulatory T cells (T(reg) cells), cytotoxic T lymphocyte-associated antigen 4 (CTLA4), interleukin (IL)-2/IL-21, IL-2 receptor A (IL-2RA; CD25) and Eos (also known as Ikaros family zinc finger 4; IKZF4), as well as the human leukocyte antigen (HLA) region. We also find association evidence for regions containing genes expressed in the hair follicle itself (PRDX5 and STX17). A region of strong association resides within the ULBP (cytomegalovirus UL16-binding protein) gene cluster on chromosome 6q25.1, encoding activating ligands of the natural killer cell receptor NKG2D that have not previously been implicated in an autoimmune disease. By probing the role of ULBP3 in disease pathogenesis, we also show that its expression in lesional scalp from patients with AA is markedly upregulated in the hair follicle dermal sheath during active disease. This study provides evidence for the involvement of both innate and acquired immunity in the pathogenesis of AA. We have defined the genetic underpinnings of AA, placing it within the context of shared pathways among autoimmune diseases, and implicating a novel disease mechanism, the upregulation of ULBP ligands, in triggering autoimmunity.

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Figures

Tables

Table 1

RegionGeneFunctionStrongest association (P value)Maximum odds ratioInvolved in other autoimmune disease
2q33.2CTLA4Co-stimulatory family3.55 × 10−131.44T1D, RA, CeD, MS, SLE, GD
ICOSCo-stimulatory family4.33 × 10−81.32
4q27IL-21/IL-2T-, B- and NK-cell proliferation4.27 × 10−81.34T1D, RA, CeD, PS
6q25.1ULBP6NKG2D activating ligand4.49 × 10−191.65None
ULBP3NKG2D activating ligand4.43 × 10−171.52None
9q31.1STX17Premature hair greying3.60 × 10−71.33None
10p15.1IL-2RAT-cell proliferation1.74 × 10−121.41T1D, MS, GD, GV
11q13PRDX5Antioxidant enzyme4.14 × 10−71.33MS
12q13Eos (IKZF4)Treg transcription factor3.21 × 10−81.34T1D, SLE
ERBB3Epidermal growth factor receptor1.27 × 10−71.34T1D, SLE
6p21.32MICANKG2D activating ligand1.19 × 10−71.44T1D, RA, CeD, UC, PS, SLE
(HLA)NOTCH4Haematopoietic differentiation1.03 × 10−81.61T1D, RA, MS
C6orf10Unknown1.45 × 10−162.36T1D, RA, PS, GV
BTNL2Co-stimulatory family2.11 × 10−262.70T1D, RA, UC, CD, SLE, MS, GV
HLA-DRAAntigen presentation2.93 × 10−312.62T1D, RA, CeD, MS, GV
HLA-DQA1Antigen presentation3.60 × 10−172.15T1D, RA, CeD, MS, SLE, PS, CD, UC, GD
HLA-DQA2Antigen presentation1.38 × 10−355.43T1D, RA
HLA-DQB2Antigen presentation1.73 × 10−131.60RA

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