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Meta-Analysis
. 2023 Oct 4;14(1):6172.
doi: 10.1038/s41467-023-41180-2.

European and multi-ancestry genome-wide association meta-analysis of atopic dermatitis highlights importance of systemic immune regulation

Ashley Budu-Aggrey #  1   2 Anna Kilanowski #  3   4   5 Maria K Sobczyk  1   2 23andMe Research TeamSuyash S Shringarpure  6 Ruth Mitchell  1   2 Kadri Reis  7 Anu Reigo  7 Estonian Biobank Research TeamReedik Mägi  7 Mari Nelis  7   8 Nao Tanaka  9   10 Ben M Brumpton  11   12   13 Laurent F Thomas  11   14   15   16 Pol Sole-Navais  17 Christopher Flatley  17 Antonio Espuela-Ortiz  18 Esther Herrera-Luis  18 Jesus V T Lominchar  19 Jette Bork-Jensen  19 Ingo Marenholz  20   21 Aleix Arnau-Soler  20   21 Ayoung Jeong  22   23 Katherine A Fawcett  24 Hansjorg Baurecht  25 Elke Rodriguez  26 Alexessander Couto Alves  27 Ashish Kumar  28 Patrick M Sleiman  29   30   31 Xiao Chang  29 Carolina Medina-Gomez  32   33 Chen Hu  32   34 Cheng-Jian Xu  35   36   37   38 Cancan Qi  35   36 Sarah El-Heis  39 Philip Titcombe  39 Elie Antoun  40   41 João Fadista  42   43   44   45 Carol A Wang  46   47 Elisabeth Thiering  3   4 Baojun Wu  48 Sara Kress  49 Dilini M Kothalawala  50   51 Latha Kadalayil  50 Jiasong Duan  52 Hongmei Zhang  52 Sabelo Hadebe  53 Thomas Hoffmann  54   55 Eric Jorgenson  56 Hélène Choquet  57 Neil Risch  54   55 Pål Njølstad  58   59 Ole A Andreassen  60   61 Stefan Johansson  58   62 Catarina Almqvist  63   64 Tong Gong  63 Vilhelmina Ullemar  63 Robert Karlsson  63 Patrik K E Magnusson  63 Agnieszka Szwajda  63 Esteban G Burchard  65   66 Jacob P Thyssen  67 Torben Hansen  19 Line L Kårhus  68 Thomas M Dantoft  68 Alexander C S N Jeanrenaud  20   21 Ahla Ghauri  20   21 Andreas Arnold  69 Georg Homuth  70 Susanne Lau  71 Markus M Nöthen  72 Norbert Hübner  20   73 Medea Imboden  22   23 Alessia Visconti  74 Mario Falchi  74 Veronique Bataille  74   75 Pirro Hysi  74 Natalia Ballardini  28 Dorret I Boomsma  76   77 Jouke J Hottenga  76 Martina Müller-Nurasyid  78   79   80 Tarunveer S Ahluwalia  81   82   83 Jakob Stokholm  81   84 Bo Chawes  81 Ann-Marie M Schoos  81   84 Ana Esplugues  85   86 Mariona Bustamante  87   88   89 Benjamin Raby  90 Syed Arshad  91   92 Chris German  6 Tõnu Esko  7 Lili A Milani  7 Andres Metspalu  7 Chikashi Terao  9   93   94 Katrina Abuabara  95 Mari Løset  11   96 Kristian Hveem  11   97 Bo Jacobsson  17   98 Maria Pino-Yanes  18   99   100 David P Strachan  101 Niels Grarup  19 Allan Linneberg  68   102 Young-Ae Lee  20   21 Nicole Probst-Hensch  22   23 Stephan Weidinger  103 Marjo-Riitta Jarvelin  104   105   106 Erik Melén  28 Hakon Hakonarson  29   107   108 Alan D Irvine  109 Deborah Jarvis  110   111 Tamar Nijsten  34 Liesbeth Duijts  112   113 Judith M Vonk  36   114 Gerard H Koppelmann  35   36 Keith M Godfrey  115 Sheila J Barton  39 Bjarke Feenstra  43 Craig E Pennell  46   47 Peter D Sly  116   117 Patrick G Holt  118 L Keoki Williams  48 Hans Bisgaard  81 Klaus Bønnelykke  81 John Curtin  119 Angela Simpson  119 Clare Murray  119 Tamara Schikowski  120 Supinda Bunyavanich  121 Scott T Weiss  90 John W Holloway  50   91 Josine L Min  1   2 Sara J Brown  122 Marie Standl  3   123 Lavinia Paternoster  124   125
Affiliations
Meta-Analysis

European and multi-ancestry genome-wide association meta-analysis of atopic dermatitis highlights importance of systemic immune regulation

Ashley Budu-Aggrey et al. Nat Commun. .

Abstract

Atopic dermatitis (AD) is a common inflammatory skin condition and prior genome-wide association studies (GWAS) have identified 71 associated loci. In the current study we conducted the largest AD GWAS to date (discovery N = 1,086,394, replication N = 3,604,027), combining previously reported cohorts with additional available data. We identified 81 loci (29 novel) in the European-only analysis (which all replicated in a separate European analysis) and 10 additional loci in the multi-ancestry analysis (3 novel). Eight variants from the multi-ancestry analysis replicated in at least one of the populations tested (European, Latino or African), while two may be specific to individuals of Japanese ancestry. AD loci showed enrichment for DNAse I hypersensitivity and eQTL associations in blood. At each locus we prioritised candidate genes by integrating multi-omic data. The implicated genes are predominantly in immune pathways of relevance to atopic inflammation and some offer drug repurposing opportunities.

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Conflict of interest statement

K.M.G. has received reimbursement for speaking at conferences sponsored by companies selling nutritional products, and is part of an academic consortium that has received research funding from Abbott Nutrition, Nestec, BenevolentAI Bio Ltd. and Danone. C.G., S.S.S., and 23andMe Research Team are employed by and hold stock or stock options in 23andMe, Inc. The remaining authors declare no competing interests.

Figures

Fig. 1
Fig. 1. Manhattan plots of atopic dermatitis GWAS.
(a) the European-only fixed effects meta-analysis (n = 864,982 individuals) and (b) the multi-ancestry MR-MEGA meta-analysis (n = 1,086,394 individuals). −log10(P-values) are displayed for all variants in the meta-analysis. Variants that meet the genome-wide significance threshold (5 × 10−8, red line) are shown in green.
Fig. 2
Fig. 2. Cell type tissue enrichment analysis.
a GARFIELD enrichment analysis of open chromatin data. Plot shows enrichment for AD associated variants in DNase I Hypersensitive sites (broad peaks) from ENCODE and Roadmap Epigenomics datasets across cell types. Cell types are sorted and labelled by tissue type. ORs for enrichment are shown for variants at GWAS thresholds of P < 1 × 10−8 (black) and P < 1 × 10−5 (blue) after multiple-testing correction for the number of effective annotations. Outer dots represent enrichment thresholds of P < 1 × 10−5 (one dot) and P < 1 × 10−6 (two dots). Font size of tissue labels corresponds to the number of cell types from that tissue tested. b MAGMA enrichment analysis of gene expression data. Plot shows P-value for MAGMA enrichment for AD associated variants with gene expression from 54 GTEx ver.8 tissue types. The enrichment –log10(P-value) for each tissue type is plotted on the y-axis. The Bonferroni corrected threshold P = 0.0009 is shown as a dotted line and the 7 tissue types that meet this threshold are highlighted as red bars.
Fig. 3
Fig. 3. Prioritised genes at GWAS loci.
Prioritised genes at known (a) and novel (b) loci. For each independent GWAS locus the top prioritised gene (or genes if they were tied) from our bioinformatic analysis is presented along with a bar representing the total evidence score for that gene. A more detailed breakdown of the constituent parts of this evidence score is presented in Supplementary Fig. 5 and the total evidence scores for the top 3 genes at each locus are presented in Supplementary Data 10. NB. There are some cases of two independent GWAS signals implicating the same gene.
Fig. 4
Fig. 4. Predicted interaction network of proteins encoded by the top prioritised genes from known and novel European GWAS loci.
Protein-protein interaction analysis carried out in STRING v11.5; nodes coloured red represent the GO term ‘Regulation of immune system process’ (GO:0002682) for which 28/1514 proteins are included (FDR P = 1 × 10−9). Full results for all identified pathways are available in Supplementary Data 12.

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