Skip to main content
Journal of Crohn's & Colitis logoLink to Journal of Crohn's & Colitis
. 2022 Jul 30;17(1):49–60. doi: 10.1093/ecco-jcc/jjac103

Chromosomal Numerical Aberrations and Rare Copy Number Variation in Patients with Inflammatory Bowel Disease

Paulina Dirvanskyte 1, Bhaskar Gurram 2, Chrissy Bolton 3,4, Neil Warner 5, Kelsey D J Jones 6,7, Helen R Griffin 8; Genomics England Research Consortium9, Jason Y Park 10, Klaus-Michael Keller 11, Kimberly C Gilmour 12, Sophie Hambleton 13, Aleixo M Muise 14,15,16,17,18, Christian Wysocki 19, Holm H Uhlig 20,21,22,
PMCID: PMC9880952  PMID: 35907265

Abstract

Background and Aims

Inflammatory bowel diseases [IBD] have a complex polygenic aetiology. Rare genetic variants can cause monogenic intestinal inflammation. The impact of chromosomal aberrations and large structural abnormalities on IBD susceptibility is not clear. We aimed to comprehensively characterise the phenotype and prevalence of patients with IBD who possess rare numerical and structural chromosomal abnormalities.

Methods

We performed a systematic literature search of databases PubMed and Embase; and analysed gnomAD, Clinvar, the 100 000 Genomes Project, and DECIPHER databases. Further, we analysed international paediatric IBD cohorts to investigate the role of IL2RA duplications in IBD susceptibility.

Results

A meta-analysis suggests that monosomy X [Turner syndrome] is associated with increased expressivity of IBD that exceeds the population baseline (1.86%, 95% confidence interval [CI] 1.48 to 2.34%) and causes a younger age of IBD onset. There is little evidence that Klinefelter syndrome, Trisomy 21, Trisomy 18, mosaic Trisomy 9 and 16, or partial trisomies contribute to IBD susceptibility. Copy number analysis studies suggest inconsistent results. Monoallelic loss of X-linked or haploinsufficient genes is associated with IBD by hemizygous or heterozygous deletions, respectively. However, haploinsufficient gene deletions are detected in healthy reference populations, suggesting that the expressivity of IBD might be overestimated. One duplication that has previously been identified as potentially contributing to IBD risk involves the IL2RA/IL15R loci. Here we provide additional evidence that a microduplication of this locus may predispose to very-early-onset IBD by identifying a second case in a distinct kindred. However, the penetrance of intestinal inflammation in this genetic aberration is low [<2.6%].

Conclusions

Turner syndrome is associated with increased susceptibility to intestinal inflammation. Duplication of the IL2RA/IL15R loci may contribute to disease risk.

Graphical Abstract

graphic file with name jjac103f0005.jpg

1. Introduction

Inflammatory bowel disease [IBD] comprises a group of inflammatory disorders arising from the dysregulated interplay between innate and adaptive immune responses and the gut environment, including intestinal microbiota and dietary factors.1,2 IBD is categorised by endoscopic and histological features into Crohn’s disease [CD], ulcerative colitis [UC], and IBD unclassified [IBDU]. Genome-wide association studies have uncovered hundreds of common polygenic risk loci that contribute towards the genetic heritability of classical polygenic IBD.3 However, rare genetic variants may also contribute significantly to the risk of an individual developing classical polygenic IBD.4 In contrast to the majority of patients with polygenic IBD, IBD may also emerge with a Mendelian pattern of inheritance, where a single gene defect leads to IBD.5 In a recent position statement of the European Society for Paediatric Gastroenterology Hepatology and Nutrition [ESPGHAN], 75 genes causing monogenic IBD were highlighted as having clinical significance for diagnosis and treatment.6 Overall, over 100 genes likely contribute to monogenic forms of IBD.7 These genes encode a functionally diverse set of proteins, and defects may cause primary immunodeficiency, immune dysregulation, and intestinal epithelial dysfunction, among other phenotypes. Several monogenic IBD syndromes are associated with particularly severe and treatment-refractory disease that can be associated with significant morbidity.6

There is limited knowledge regarding whether larger structural and numerical chromosomal abnormalities affect IBD susceptibility. The structural diversity of the human genome encompasses complete or partial loss or gain of entire chromosomes, such as monosomies and trisomies, and includes smaller deletions or duplications that contribute to copy number variation [CNV]. CNV contributes towards 4.8–9.7% of the diversity of the human genome,8 suggesting a relevant contribution to disease, especially for dosage-sensitive genes.9 Despite this, the contribution of CNV in monogenic IBD genes has been scarcely investigated in genetic susceptibility studies.

Here, we perform a systematic search on the role of numerical chromosomal abnormalities and rare CNV. We review the literature and interrogate the DECIPHER and ClinVar databases to identify case reports of genetic structural aberrations linked to IBD. We identify candidate regions for rare CNV and perform a replication analysis in large IBD cohorts, based on exome sequencing.

2. Methods

2.1. Ethics approval

Experiments were carried out with Research Ethics Board [REB] approval from the Hospital for Sick Children, the Oxford IBD cohort study [rare disease subproject], the Department of Pediatrics, UT Southwestern Medical Center, and Genomics England Research Consortium. Informed written consent to participate in research was obtained from patient/families and controls. Parents of the patients that are reported as case report in this paper consented to their information being published as a detailed case report.

2.2. Definitions

Genomic chromosomal abnormalities were categorised into numerical chromosomal abnormalities and structural variants. Numerical abnormalities were defined as chromosomal aneuploidies where the entire chromosome was either gained or lost. These were further divided into sex chromosome aneuploidies [monosomy X, ie, Turner syndrome; and 47,XXY, ie, Klinefelter syndrome] and trisomies [Trisomy 21, Trisomy 18, Trisomy 16, and Trisomy 9]. Structural abnormalities were defined as unbalanced structural rearrangements that result in CNV larger than 1 kb in size.10 These were further divided into partial monosomies and trisomies that were considered to be: >1 Mb [large deletions or duplications] or <1 Mb [microdeletions and microduplications]. Rare CNVs were defined as present at mean allele frequencies <0.001 based on the data from the gnomAD database.11 More common CNVs <1 kb in size were excluded from the search, which was designed to focus on rare and putatively highly penetrant variants and to focus on gene dose effects.

2.3. Search strategy

We performed a systematic literature search on the role of numerical and structural chromosomal abnormalities in patients with IBD. PubMed and Embase databases were searched for each of the chromosomal defects and CNVs separately [last accessed August 31, 2021] [Figure 1]. The search was done for terms ‘inflammatory bowel disease’ and ‘Turner syndrome’, ‘Down syndrome’, ‘Klinefelter syndrome’, ‘trisomy 9’, ‘trisomy 18’, ‘trisomy 16’, ‘partial trisomy’, ‘partial monosomy’, ‘copy number variation’. These were mapped to Medical Subject Heading controlled vocabulary terms on PubMed or mapped to Emtree terms on Embase [Supplementary Figure 1]. The search was limited to publication years 1980–2021 for chromosomal aneuploidies and 1990–2021 for structural abnormalities, to acknowledge technical progress in detection of CNV using cytogenetics and hybridisation technologies.

Figure 1.

Figure 1.

Reports identified and excluded in systematic review of cytogenetic abnormalities and inflammatory bowel disease [IBD]. Six disorders or syndromes were included in the initial assessment. Reports of IBD or IBD-like disease were the initial selection criteria that yielded 190 publications and 16 DECIPHER entries. Reports were excluded based on exclusion criteria. Numbers in brackets represent the number of cases for each abnormality type that remained after exclusion. These numbers include duplicated publications or Decipher reports that include more than one abnormality. The total number of unique publications and Decipher reports was 50.

Abstracts were screened to remove irrelevant results that did not include the search terms. Only full-text papers written in English were included. Additional studies were identified from conferences, correspondence with authors, and manual searching of included study references and citations.

2.4. DECIPHER database search

The literature search was complemented by analysis of genetic aberrations associated with colitis, enterocolitis, UC, and CD in the DECIPHER and ClinVar databases [Figure 1]. The DECIPHER database [release DECIPHER v11.6 on August 18, 2021, https://www.deciphergenomics.org]12 contains data from over 39 000 patients who provided consent for broad data sharing. Single nucleotide variants and insertions/deletions less than 1 kb in length were excluded from the search. For CNV analysis of specific regions, additional patient data were analysed from the ClinVar database, which contains reports on human genetic variation and its relationship to clinically relevant phenotypes [accessed on August 18, 2021, https://www.ncbi.nlm.nih.gov/clinvar/]. 13

To assess the frequency of genetic variants in a healthy population, we screened the GnomAD database [release v3.1.3 September 2021, https://gnomad.broadinstitute.org/]. GnomAD removes data from patients with severe paediatric disease and their first-degree relatives, so their frequency in the database is lower than in the general population.11

2.5. Replication study to detect patients with IL2RA duplication

A survey for patients with IL2RA duplication was performed across several IBD cohorts. Patients with IL2RA duplications were screened for in tertiary referral centre databases in Oxford, UK [n = 700 genotyped IBD patients], London UK [n = 1296],14 Toronto, Canada [n = 3158],15 and in the UK 100 000 Genomes Project database which contains whole-genome data from individuals with rare disease or cancer.16 In addition, we have reached out to key centres of the very-early-onset IBD consortium [https://veoibd.org] to see whether additional patients have been clinically identified [focusing on paediatric gastroenterology centres].

For a formal search of patients with IL2RA duplications in the Toronto IBD cohort, we screened exome sequencing data from two cohorts of samples totalling 3158 individuals [1293 patients with paediatric IBD] and their first-degree relatives [parents and siblings when available]. The samples were sequenced by the Regeneron Genetic Center and analysed for CNVs using CLAMMs17 [https://github.com/rgcgithub/clamms]. Outlier samples were removed, leaving on average 11 high-confidence CNV calls per sample. The majority [80%] of the samples used in the CNV analysis come from a previously published cohort collected from the greater Toronto area.15

The Genomics England 100 000 genomes dataset was also screened for duplications that included IL2RA. Copy number gains were called using Canvas.18 The structural variant calls of rare disease probands and relatives [64 058 genomes] and cancer participant germline sequences [15 677 genomes] were aligned to the GRCh38 [Genome Reference Consortium Human Build 38] reference genome and filtered for ‘PASS’ quality duplications with quality score >10 and length >10 Kb.

2.6. IL2RA expression analysis, lymphocyte subsets, and proliferation assays

Flow cytometric analysis of lymphocyte subsets, maturation, and activation markers was performed using BD Canto and Canto II flow cytometers with FACSDiva software. Cell staining protocols included BD Multitest 4-Color and 6-Color TBNK Reagent with BD Trucount Tubes with additional cell surface markers and fluorochrome conjugates added [from BD]: TCR αβ FITC [clone WT31], TCR γδ PE [clone 11F2], HLA-DR PerCP Cy5.5 [clone L243], HLA-ABC FITC [clone G46-2.6], Beta-2 microglobulin PE [clone TU99], CD45RA FITC [clone L48], CD2 PE [clone S5.2], CD45RO APC [clone UCHL-1], CD45RA FITC [clone L48], CD40 APC [Life Technologies, clone HB14], and CD62L PE [Life Technologies, clone DREG56]. The percentage of CD4 + HLA-DR + T cells was calculated as percentage of total HLA-DR + lymphocytes minus percentage of total CD19 + lymphocytes. For analysis of regulatory and effector T cell subsets, cells were permeabilised and stained with anti-FoxP3 FITC [Ebioscences, clone PCH101]. Surface marker stains used CD4 PerCP [BD, clone SK3], CD25 APC [BD, clone 2A3], and CD127 PE [Immunotech/Beckman Coulter, clone R34.34]. All markers were evaluated against isotypic controls.

STAT5 phosphorylation in response to IL2 in stimulated T cells was assessed by flow cytometry with a BD FACSLyric flow cytometer and FCS Express software. Whole blood was incubated with IL2 or no IL2 for 10 min. Cells were permeabilised and stained with anti-CD4 PerCP [BD clone SK3] and anti-pSTAT5 [pY694] [Alexa Fluor 488, BD clone 47].

Lymphocyte proliferation was quantified by flow cytometry of fluorescently dyed alkyne-modified nucleoside incorporation in peripheral blood mononuclear cells [PBMCs] that were stimulated with three different stimuli: agonistic anti-CD3 alone, agonistic anti-CD3 plus anti-CD28, and agonistic anti-CD3 plus exogenous IL2. Proliferation was measured as the amount of fluorescent signal.

A control sample from a healthy unrelated individual was included for all analyses.

2.7. Statistics

The 95% confidence intervals [CIs] for each proportion were calculated using the Wald method. The Mann–Whitney test was used for comparing age of onset data between the classical IBD and Turner syndrome cohorts. One-way analysis of variance [ANOVA] was used to compare age of onset date between different sub-genotypes of the Turner syndrome cohort. All statistical analyses were done using the GraphPad PRISM software [version 9.2.0].

3. Results

3.1. Numerical chromosomal aberrations

The database search identified 41 unique relevant articles that were reviewed in full text and nine unique DECIPHER reports [Figure 1]. Two unique articles reported on multiple conditions19,20 as well as one Decipher entry [Patient 349797], so they were included as duplicates. In patients with Turner syndrome the reported penetrance exceeded the conservative upper border population baseline risk for IBD of 1%.21 There was insufficient evidence to support the association between IBD and Down syndrome, Klinefelter syndrome, Trisomy 9, Trisomy 18, Trisomy 16, or large chromosomal deletions or duplications [Figure 2A].

Figure 2.

Figure 2.

Phenotype of individuals with large chromosomal aberrations and inflammatory bowel disease [IBD]. [A] Penetrance of intestinal inflammation. Penetrance [dot] and 95% confidence intervals [bars] were calculated using the modified Wald equation. [B] Age of onset of intestinal inflammation in the polygenic IBD and Turner syndrome cohorts. Left: polygenic IBD cohort [total n = 1762]. Right: Turner syndrome cohort by sub-genotype. Each dot represents one patient [total n = 21]. ****p <0.0001, Mann–Whitney U test. Lines represent the medians and bars/dotted lines represent interquartile range.

3.2. Turner syndrome is associated with a penetrance of IBD that exceeds the population baseline

In total 22 published studies were identified describing patients with Turner syndrome and IBD [Figure 1]; 23 individuals with IBD and Turner syndrome were described in case reports [Supplementary Table 1]. Four larger cohort studies summarised the phenotypes of 3866 patients with Turner syndrome, and 72 of these individuals exhibited IBD, allowing the estimation of penetrance across unselected cohorts22–25 [Supplementary Table 1]. Individuals with Turner syndrome had a moderate penetrance of IBD of 1.86% [95% CI 1.48 to 2.34, Figure 2A]. The mean age of diagnosis or onset of IBD in the Turner syndrome cohort was 17.8 ± 2.3 standard error of the mean [SEM] [range: from 3 to 41 years], which was significantly younger than the IBD onset age in the Oxford IBD cohort5,7 [p <0.0001, Mann–Whitney test] [Figure 2B].

Data from the Turner syndrome case reports and Turner syndrome cohort studies did not show an enrichment of a particular IBD phenotype. CD was reported in 65% of case reports, and similarly the larger-scale studies did not suggest a strong bias towards either phenotype.23–25 Based on the case reports, 26% of patients with Turner syndrome [6/23] were described to have a ‘severe’ phenotype of IBD. However, this may be a consequence of publication bias. Consistent criteria for assessing severity were lacking and an increased severity was not reported in the Turner syndrome cohort studies. We investigated whether sub-genotypes of patients with Turner syndrome carried a different risk profile. Among the case reports [n = 22], 27% of individuals were 45,X; 18% were 46,X,i[Xq]; 23% expressed 45,X/46,X,i[Xq] mosaicism; and 32% had other forms of mosaicism. We did not find a significant correlation between karyotype and IBD onset age [n = 20, p = 0.1859, ANOVA] [Figure 2B]. Among the Turner syndrome cohort studies,22,25 9/18 [50%] of Turner syndrome patients with IBD had an i[Xq] genotype [including both mosaic and complete genotypes]. The odds ratio for association of IBD with the 46,X,i[Xq] genotype was 2.11 [95% CI 1.15 to 3.88] compared with a population of those with Turner syndrome and no IBD.26

3.3. Klinefelter syndrome

One paper reported five patients with Klinefelter syndrome [47, XXY] and UC, out of a cohort of 2208 patients.27 The relative risk [RR] was not significantly elevated for this condition [RR = 1.1, 95% CI 0.3 to 2.4].

3.4. Down syndrome and IBD

In all, 21 patients with IBD and trisomy 21 [Down syndrome] were reported [Supplementary Table 1]. Two isolated reports suggest a combination of primary sclerosing cholangitis and Crohn’s disease in patients with Down Syndrome.28,29 In a large IBD cohort, the prevalence of Down syndrome was similar to that in the general population [of Spain 0.2% vs 0.1%, respectively, n = 1200].30 Based on all the published data of individuals with Down syndrome and IBD, we found no association with a particular IBD sub-phenotype [Figure 2A]. Age of IBD onset was 25 years +/- 5.4 for males and 12 years +/- 2.3 for females [based on n = 4 and n = 8, respectively]. There was insufficient evidence for a younger age of onset or increased severity in patients with Trisomy 21. In summary, there was no evidence for increased IBD susceptibility in this population.

3.5. Trisomy 9, Trisomy 18, and Trisomy 16

Three patients with either full Trisomy 18, mosaic Trisomy 9, or Trisomy 16 were identified who presented with IBD [Supplementary Table 1]. We identified a 2-year-old child with Trisomy 18, characterised by discontinuous colitis with histopathological changes of chronic active inflammation with mild architectural distortion consistent with IBDU [Supplementary Information]. A child with Trisomy 9 was described to suffer from CD from the age of 2 years, and the patient with mosaic Trisomy 16 had UC onset at 10 years of age.31,32 A strong association between IBD and these syndromes cannot be assumed, given the large number of patients reported with these genetic conditions without intestinal inflammation.33–35

3.6. Deletions that impact on monogenic IBD genes

Several case reports identified de novo deletions involving known gene loci for monogenic IBD [Supplementary Table 2].36–39 Structural abnormalities suggesting a loss of gene function were identified for genes where hemizygous or heterozygous variants have been implicated in causing monogenic IBD. Exemplars included deletions of the CTLA-4 locus,36TNFAIP3 locus,37 and hemizygous deletions of XIAP.38 Another case report described three patients with IBD and homozygous loss of function of the IL10RB locus: two patients with homozygous deletions and a patient with a heterozygous deletion and a duplication causing a frameshift loss-of-function mutation.39 Recently, a genome sequencing identified a 12.3 kb homozygous tandem duplication that disrupted the reading frame of the LRBA gene.40

In DECIPHER, 20 patients had a CTLA4 deletion, 10 had a TNFAIP3 deletion, and 30 had X-linked XIAP deletions, including one 46,XY patient. Out of these patients, none presented with IBD-like disease and two patients with CTLA4 deletion and one patient with TNFAIP3 deletion had ‘recurrent infections’ listed as a phenotype. The 46,XY patient with the XIAP deletion had mild global developmental delay but no symptoms characteristic of X-linked lymphoproliferative syndrome 2 [XLP2] caused by XIAP deficiency. The lack of IBD or other immunodeficiency symptoms in patients with these deletions confirms the incomplete expressivity or the patients are listed on the database before immunodeficiency manifests.

3.7. CNV and IBD

Two studies investigated the association between rare genome-wide CNV [population frequency <0.1%41 and <1%42] and IBD. None of the loci identified in the two studies overlapped or were replicated in other studies. Data are summarised in Table 1 and Figure 3A and B.

Table 1.

CNVs identified in IBD patients from Decipher entries, case reports, and unselected CNV analyses

Chromosome Location Size Genes Reference
A. Deletions
2 2q33.2 606 kb CTLA4, ICOS Tran et al.36
3 3p26.3q25.3 9.62 Mb 62 Decipher 349797
5 5q35.3 185.2 kb 13 Decipher 308104
6 6p21.31 5.7 kb IP6K3 Frenkel et al.41
6p25.3 108.4–113.6 kb DUSP22 Frenkel et al.41
6q23.3 119 kb TNFAIP3 Taniguchi et al.37
7 7p22.1 100.4 kb FAM220A, RAC1 Frenkel et al.41
7q31.1 173.63 kb IMMP2L Decipher 390408
10 10p15.1 374 kb IL2RA, IL15RA, FBXO18, ANKRD16, RBM17, GD12 [partial], PFKFB3 [partial] Joosse et al.43
13 13q32.1 15.8 kb Upstream of ABCC4 [MRP4] and CLDN10 Saadati et al.42
15 15q11.2q13.1 5.33 Mb 132 Decipher 285124
16 16p13.3 2.09 Mb 124 Decipher 249933
16p13.3 1.9 Mb 88 Cox et al.20
X Xq25 55 kb XIAP Kelsen et al.38
B. Duplications
1 1p36.33 9–87 kb ACAP3 Frenkel et al.41
2 2q33.3q34 4.34 Mb 70 Decipher 333025
3 3q21.3 23.2–78.4 kb PLXNA1 Frenkel et al.41
6 6q12 263.15 kb EYS Decipher 278651
7 7q21.3q22.2 7.84 Mb 196 Decipher 349742
7p22.1 119 kb Entirety of ZNF815, OCM and overlaps with RNF216, RSPH10B Saadati et al.42
8 8q24.3 5.9–11.9 kb PLEC Frenkel et al.41
8q24.3 134 kb Upstream of KCNK9 [TASK3] Saadati et al.42
9 9q34.3 29.6–100 kb SAPCD2 Frenkel et al.41
14 14q32.33 13.9–44.7 kb MTA1, CRIP2, CRIP1, C14orf80 Frenkel et al.41
15 15q11.2 6–62.2 kb SNORD115-6, SNORD115-7, SNORD115-8 [RNA genes] Frenkel et al.41
16 16q22.1-tel 19.3 Mb 249 Decipher 349797
16p13.3 6–16.2kb UBALD1 Frenkel et al.41
17 17q25.3 3.47 Mb 111[SLC25A10] Decipher 308104
17q25.3 6.6-7.6 kb SLC25A10 Frenkel et al.41
19 19p13.3 12-13.2 kb PSPN, GTF2F1 Frenkel et al.41
20 20q13.11 269.74 kb 5 Decipher 349742
X Xq27.3 372.9 kb 7 Decipher 249933
C. Triplications
15 15q26 7.8 Mb 41 Cox et al.20
21 21q22.11 2.46 Mb 75 Decipher 293457

IBD, inflammatory bowel disease; CNV, copy number variation.

Figure 3.

Figure 3.

Structural abnormalities and intestinal inflammation. [A] Deletions. Overview of different studies and case reports. [B] Duplications. Overview of different studies and case reports.

In addition to these systematic studies, there were published case reports and patients with intestinal inflammation reported in clinical databases such as DECIPHER or Clinvar [Table 1, Figure 3A and B]. One published case report and seven DECIPHER database entries described patients with IBD and deletions and/or duplications of more than 1 Mb [Supplementary Table 3]. Five of these patients had very-early onset IBD.

Among genes previously implicated in Mendelian disorders associated with an increased penetrance of IBD, CNV were identified affecting TRNT1, CYBA, ARPC1B, and IL2RA genes. The deletion 3p26.3q25.3 present in one patient spanned the TRNT1 gene, which has been associated with intestinal inflammation with autosomal recessive defects.44,45 The same patient had a duplication 16q22.1 that spanned the CYBA monogenic IBD gene and PLCG2. Gain-of-function variants in PLCG2 have been associated with IBD as part of a broader phenotype of PLCγ2-associated antibody deficiency and immune dysregulation [PLAID] or auto-inflammation and PLCγ2-associated antibody deficiency and immune dysregulation [APLAID] syndromes.46,47 Another patient with a 7q21.3q22.2 duplication spanned the monogenic IBD gene ARPC1B; however intestinal inflammation was previously associated with an autosomal recessive loss-of-function of this gene.48 The duplication of the IL2RA locus as a potential cause of very-early-onset IBD was described in a 2-year-old patient [Figure 2C, Supplementary Table 3].43 Again, although this involves a different mode of inheritance [gene loss rather than gene dose increase], loss-of-function autosomal recessive variants in IL2RA have been associated with chronic intestinal inflammation.49

Two DECIPHER entries reported patients with IBD and microdeletions/microduplications that spanned a single gene: duplication of the EYS gene and a deletion of the IMMP2L gene [involved in mitochondrial protein transport]. Pathogenic EYS variants are typically associated with retinitis pigmentosa and defective photoreceptor development and the gene also demonstrates enriched expression in intestinal enteroendocrine cells and granulocytes.50

The majority of the CNVs identified in all sources were unique to single patients. There were two loci reported in both the literature and identified among the DECIPHER dataset patients. Deletion 16p13.3 was present in the genome of a 3-year-old DECIPHER patient [249933] with CD. A 36-year-old patient with colitis, described by Cox and Butler [2015], had partial trisomy 15q26 and partial monosomy 16p13.3.20 These two 16p13.3 deletions had an overlap of 1.92 Mb. The DECIPHER Patient 308104, diagnosed with UC, had a complement duplication17q25.3, which was also overrepresented in the IBD patients investigated by Frenkel et al. [2019].41 Both duplications overlapped with the SLC25A10 gene that encodes a mitochondrial transmembrane transporter.

3.8. Replication study IL2RA

Only one of the recently described duplications, a variant spanning the IL2RA locus and presenting with infantile-onset IBD, was supported by functional evidence.43 We have therefore chosen this variant for validation analysis. The previously described variant duplication of the 374kb locus included not only IL2RA, IL15RA, FBXO18, ANKRD16, and RBM17, but also two partially overlapping genes [GD12, PFKFB3]. Functional evidence suggested a gene dose effect of the IL2 receptor.43 In the replication study and search, we investigated duplications that encompass the entire IL2RA gene, assuming that such CNVs likely result in a higher gene dosage.

We found no record of whole-gene IL2RA duplication in the gnomAD database, suggesting that this duplication cannot be observed in reference populations around the globe. As the functional validation of the IL2RA duplication and its potential role in IBD provided a relevant and testable hypothesis, we further investigated the impact of IL2RA duplication variants in the IBD patient population. We performed a survey among multiple paediatric IBD centres for patients where a clinical diagnosis of IL2RA duplication was made and searched genetically characterised IBD cohorts in the UK [Oxford and London], screened an IBD cohort using parental samples as controls [Toronto], and searched the DECIPHER database and the 100 000 Genomes Project for further patients.

Among tertiary referral centre cohorts, the survey identified one patient with an IL2RA duplication and infantile-onset IBD where a diagnosis was established by clinical genetics. Genetic panel screening revealed an IL2RA duplication that was confirmed by array comparative genomic hybridisation [aCGH]. The identified chr10:5918731-6182347 region of duplication involved IL15RA and IL2RA as well as FBXO18, ANKRD16, and RBM17. The 3-year-old female patient was diagnosed with IBD at 21 months of age [infantile-onset IBD] when she presented with diarrhoea, haematochezia, and poor appetite. Endoscopy revealed pancolitis with neutrophilic infiltration, crypt abscesses, crypt distortion, and basal lymphoplasmacytosis [Figure 4A–D]. The patient was started on prednisone and sulphasalazine treatment. The patient was corticosteroid-dependent and needed frequent hospitalisations. Subsequent treatments included corticosteroids, antibiotics, and anti-TNF therapy [adalimumab and infliximab], as well as azathioprine, sirolimus, and tacrolimus. We performed immunophenotyping and functional studies to investigate the impact of the IL2RA duplication [Figure 4E]. Immunophenotyping suggested normal CD3 + cells [proportion slightly raised 82% with absolute T cell numbers within normal range for patient’s age], an increased proportion and absolute numbers of CD8 + T cells among T cells [35.1% and 1540 Gpt/l, respectively], normal proportion and absolute numbers of regulatory T cells [CD4 + CD25 + CD127 low and Foxp3 expressing Treg cells], and normal number of CD3-CD19 + B cells.

Figure 4.

Figure 4.

Duplications in the IL2RA locus—case report and systematic analysis. Ileocolonoscopy images showing evidence of pancolitis with redness, ulcerations, exudate, and mucosal friability in the caecum [A] and transverse colon [B]. Histological examination revealed [C, D] neutrophilic inflammation including cryptitis and crypt abscesses as well as crypt distortion and basal lymphoplasmacytosis [200x magnification]. [E] Increased CD25 [IL2RA] fluorescence intensity in patient-derived CD4 + T cells identified by fluorescence activated cell sorting [FACS]. MdFI is of CD4 + T cells. Dotted red line indicates MdFI of 3066. [F] Comparison of phenotypic features between two patients with very-early-onset inflammatory bowel disease [IBD] and IL2RA duplication. [G] Screening for IL2RA duplications in four cohorts. Each bar indicates a duplication overlapping the IL2RA locus. Bar length indicates the extent of the duplication. Larger duplications are cut off.

In line with the IL2RA duplication, the median fluorescence intensity [MdFI] of the CD25 signal among CD4 + T cells was about double in the patient compared with control [MdFI 3066 versus 1529; Figure 4E].

The proportion of activated HLA DR + effector T cells was high [22.2%]. The proliferation of CD3 + cells in response to stimulation with anti-CD3 antibody was augmented by addition of exogenous IL2 [50.4% vs 62.5%]. IL-2 induced phosphorylation of STAT5 [pSTAT5] in lymphocytes and CD4 T cells on flow cytometry were comparable.

The patient did not present with additional syndromic features or developmental delay but the disease onset, inflammation, and severity of the inflammatory response is comparable to the previously published patient with a similar duplication43 [Figure 4F].

To screen an IBD cohort systematically [Figure 4G] a total of 3158 exomes were analysed, of which 1293 were probands with paediatric onset IBD. We were not able to identify additional IBD patients with a duplication of the IL2RA locus, but there was one unaffected mother who had an IL2RA duplication [DUP:10:5991252:6557098], which also involved five genes [IL15RA, IL2RA, PFKFB3, PRKCQ, and RBM17].

A CNV analysis of the DECIPHER database revealed 38 patients with duplications in the IL2RA locus, of whom 37 patients had both IL2RA and IL15R duplications [Figure 4G]. Whereas developmental delay was a common finding in those patients, none of the patients were described as having intestinal inflammation. This suggests that the penetrance of intestinal inflammation due to IL2RA duplication is low [<2.6%, 90% confidence interval <0.0001 to 0.12]. The median age of patients from the DECIPHER data at their latest clinical visit was 2 years [mean 5.57 years, n = 33], potentially representing a bias if IBD has not developed by this age. In the 100 000 Genomes Project, eight participants were identified to have duplications that included IL2RA or part of the IL2RA gene [Figure 4G]. None of these participants had colitis listed as a phenotype.

In summary, the duplication of the IL2RA/IL15RA locus has been identified in two infantile IBD patients with surprising genetic and phenotypic similarity. The duplication might be functionally relevant but the IBD penetrance is likely to be below 2%. There is currently no indication that the size of the duplication or a combination of genes in this locus has additive or protective effects.

4. Discussion

We investigated the association between IBD and a diverse range of rare chromosomal structural and numerical abnormalities. Among the numerical chromosomal abnormalities, Turner syndrome was associated with an increased risk of IBD [approximately 2% penetrance], whereas other numerical chromosomal abnormalities had limited evidence for increased susceptibility. Our analysis suggests that patients with Turner syndrome presented with IBD at a significantly younger age than the classical IBD cohort, but typically not at an extreme young age such as very-early-onset IBD. Turner syndrome is a condition in females that results from the complete or partial loss of one X chromosome, altering the gene dosage of up to 15% of genes on the X chromosome that escape inactivation.51 Complete loss of one X chromosome or partial deletion has pervasive effects on the genome, epigenome, and transcriptome of female individuals,52 all resulting in changed gene dosages. Individuals with Turner syndrome have a distinguishable RNA expression profile, as well as a distinct autosomal DNA and X-chromosomal methylation profiles compared with karyotypical 46,XY males and 46,XX females.53 Theoretically, the increased occurrence of IBD in individuals with Turner syndrome could be attributed to the loss of function of monogenic IBD genes on the X chromosome. A possible candidate could be the CD40LG that was identified by Trolle et al.53 as differentially expressed in Turner syndrome patients. However, the distinctly lower penetrance of IBD in Turner syndrome compared with X-linked monogenic IBD defects in genes like CYBB, FOXP3, and WAS suggests a more complex genetic interplay.6,54–56 As the loss of one X chromosome or its parts has broad effects on gene expression across the whole genome, development of IBD and other autoimmune disease in patients with Turner syndrome could be due to cumulative gene dosage effects on multiple loci. Alternatively, the findings of co-occurring Turner syndrome and IBD in women with mosaic karyotypes could be biased: a large scale Biobank study showed that patients with mosaic Turner karyotypes have reduced penetrance of comorbidities common in patients with Turner syndrome.57 Women with mosaic 45,X/46,XX karyotype were only slightly shorter than average, had a normal birth rate and reproductive lifespan, and had no cardiovascular abnormalities. In our data, this karyotype was rare [n = 2 case reports] and other karyotypes were predominant, suggesting that IBD has increased penetrance in non-mosaic Turner syndrome karyotypes.

A well-known contributor of chromosomal abnormalities is the hemizygotic, haploinsufficient or compound heterozygous deletion of established monogenic IBD genes such as CTLA4, ICOS, TNFAIP3, and XIAP. In these cases, loss of additional genes might contribute to additional functional defects. Tran et al.36 discuss a patient with a deletion that encompasses CTLA4 as well as ICOS, presenting with very-early-onset [VEO]-IBD unresponsive to conventional therapy.36 Biallelic mutations in the ICOS gene cause a deficiency that is characterised by nearly absent class-switched memory B cells; this leads to recurrent infections and autoimmune pathologies including IBD.58 The development of VEO-IBD in this patient could be evidence of the causative CTLA4 deletion, with additional effects of the compound ICOS deletion resulting in a more severe IBD phenotype.

The only duplication with functional assessment of the gene dosage consequences was the duplication of the IL2RA locus found in a patient with infantile IBD.43 We identified another patient with a nearly identical duplication. However, our systematic search for additional patients with IL2RA CNV suggests that the duplication of the IL2RA locus is associated with expressivity of infantile IBD that is <2%. Absent IL2RA signalling causes an immune dysregulation, polyendocrinopathy, enteropathy, and X-linked [IPEX]-like condition due to impaired persistence and function of regulatory T cells.49 Joosse et al.43 showed that the duplication increases IL2 responsiveness in activated CD4 + T cells, which they postulated could then overstimulate these cells in the antigen-rich environment of the colon and induce inflammation. Our functional data support an effect on effector T cells since those show stronger IL2RA expression. However, the DECIPHER data illustrate that duplication of the IL2RA locus is consistently associated with developmental problems, but not with IBD or other immune-mediated disorders. Our screening of multiple cohorts makes a selection bias [patients with a syndromal phenotype might be underrepresented in IBD cohorts] or reporting bias [IBD might be underreported in databases such as DECIPHER] less likely. In light of the very variable duplication size flanking the IL2RA locus from both sides, it is unlikely that microduplications including the IL2RA and IL15RA locus are compensated by a dose effect of protective genes. We cannot exclude that additional genetic variants [such as somatic variants] contribute to the IBD risk in patients with IL2RA locus duplication.

In summary, we found evidence that some numerical chromosomal aberrations like the Turner syndrome might contribute to an IBD phenotype. The role of other numerical abnormalities and structural abnormalities is less clear. Copy number analysis is essential in patients where a monogenic IBD cause needs to be excluded. Our study highlights the complexities involved with analysing gene copy number data: a large systematic analysis of copy number variation in a large set of patients is required to gain better insight into how chromosomal aberrations contribute to IBD.

Supplementary Material

jjac103_suppl_Supplementary_Data

Acknowledgement

We would like to thank patients and families who contributed to this research. We acknowledge the contribution to this research through access to the data and findings generated by the 100 000 Genomes Project. The 100 000 Genomes Project is managed by Genomics England Ltd [a wholly owned company of the Department of Health]. The 100 000 Genomes Project and or research infrastructure are funded by the National Institute for Health Research, National Health Service England, the Wellcome Trust, Cancer Research UK, and the Medical Research Council. The 100 000 Genomes Project uses data provided by patients and collected by the National Health Service as part of their care and support. Please see the supplemental acknowledgement author list—Genomics England Research Consortium for details. We acknowledge the contribution of the Oxford IBD cohort study and the Gastrointestinal Illness Biobank, which are supported by the NIHR Biomedical Research Centre, Oxford. We would like to thank Regeneron Genetic Center for carrying out WES and CNV analysis. The graphical abstract was created with Biorender.com.

Contributor Information

Paulina Dirvanskyte, Translational Gastroenterology Unit and Biomedical Research Centre, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK.

Bhaskar Gurram, Department of Pediatrics, UT Southwestern Medical Center, Dallas TX, USA.

Chrissy Bolton, Institute of Child Health, University College London, London, UK; Paediatric Gastroenterology Department, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.

Neil Warner, SickKids Inflammatory Bowel Disease Centre, Hospital for Sick Children, Toronto, ON, Canada.

Kelsey D J Jones, Paediatric Gastroenterology Department, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK; Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Kennedy Institute of Rheumatology, University of Oxford, Oxford, UK.

Helen R Griffin, Primary Immunodeficiency Group, Newcastle University Translational and Clinical Research Institute, Newcastle upon Tyne, UK.

Genomics England Research Consortium, Genomics England, London, UK.

Jason Y Park, Department of Pathology and the Eugene McDermott Center for Human Growth and Development. UT Southwestern Medical Center, Dallas, TX, USA.

Klaus-Michael Keller, German Clinic for Diagnostics [DKD], Helios Klinik, Wiesbaden, Germany.

Kimberly C Gilmour, Laboratory of Immunology and Cellular Therapy, Great Ormond Street Hospital for Children, NHS Foundation Trust, London, UK.

Sophie Hambleton, Primary Immunodeficiency Group, Newcastle University Translational and Clinical Research Institute, Newcastle upon Tyne, UK.

Aleixo M Muise, SickKids Inflammatory Bowel Disease Centre, Hospital for Sick Children, Toronto, ON, Canada; Department of Biochemistry, University of Toronto, Toronto, ON, Canada; Cell Biology Program, Sick Kids Research Institute, Hospital for Sick Children, Toronto, ON, Canada; Department of Pediatrics, University of Toronto, Toronto, ON, Canada; Institute of Medical Science, University of Toronto, Toronto, ON, Canada.

Christian Wysocki, Department of Pediatrics, and Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.

Holm H Uhlig, Translational Gastroenterology Unit and Biomedical Research Centre, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, UK; Biomedical Research Centre, University of Oxford, Oxford, UK; Department of Paediatrics, John Radcliffe Hospital, Oxford, UK.

Funding

This work was supported by the National Institute for Health Research [NIHR] Oxford Biomedical Research Centre [BRC] [HHU] and by the Leona M. and Harry B. Helmsley Charitable Trust [HHU, AMM]. It was also supported by the UK Medical Research Council [MRC] [KDJJ, grant number MR/R008019/1], Canada Research Chair [Tier 1] in Pediatric IBD, a Canadian Institutes of Health Research [CIHR] Foundation grant [AMM], and National Institute of Diabetes and Digestive and Kidney Diseases National Institute of Health [NIDDK NIH] grants [AMM, grant numbers RC2DK118640, RC2DK122532]. This work is supported by the National Institute for Health Research Great Ormond Street Hospital Biomedical Research Centre [KCG]. The 100 000 Genomes Project and research infrastructure are funded by the National Institute for Health Research, National Health Service England, the Wellcome Trust, Cancer Research UK, and the Medical Research Council.

Conflict of Interest

None of the authors has a conflict of interest related to this article. HHU received research support or consultancy fees from Janssen, Eli Lilly, UCB Pharma, BMS/Celgene, MiroBio, OMass, and Mestag. KDJJ received speakers’ fees from Celltrion.

Author Contributions

PD, HHU, SH, and HRG analysed literature and databases [DECIPHER, Clinvar patient data, and the 100 000 Genomes Project database]. BG, CW, JYP, KMK, KCG, AMM, NW, KJ, HHU screened IBD patient data and provided patient information. PD and HHU wrote the initial version of the manuscript and all authors contributed to the manuscript.

Data Availability

All data described are available in deposited databases [such as Decipher or GEL] or are available on request.

References

  • 1. Uhlig HH, Powrie F.. Translating immunology into therapeutic concepts for inflammatory bowel disease. Ann Rev Immunol 2018;36:755–81. [DOI] [PubMed] [Google Scholar]
  • 2. Graham DB, Xavier RJ.. Pathway paradigms revealed from the genetics of inflammatory bowel disease. Nature 2020;578:527–39. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. de Lange KM, Moutsianas L, Lee JC, et al. Genome-wide association study implicates immune activation of multiple integrin genes in inflammatory bowel disease. Nat Genet 2017;49:256–61. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Sazanovs A, Stevens CR, Venkataraman GR, et al. Sequencing of over 100 000 individuals identifies multiple genes and rare variants associated with Crohns disease susceptibility. medRxiv 2021. doi: 10.1101/2021.06.15.21258641. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Uhlig HH, Schwerd T, Koletzko S, et al. The diagnostic approach to monogenic very early onset inflammatory bowel disease. Gastroenterology 2014;147:990–1007.e1003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Uhlig HH, Charbit-Henrion D, Kotlarz D, et al. Clinical genomics for the diagnosis of monogenic forms of inflammatory bowel disease: a position paper from the Paediatric IBD Porto Group of European Society of Paediatric Gastroenterology, Hepatology and Nutrition. J Pediatr Gastroenterol Nutr 2021;72:456–73. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Bolton C, Smillie CS, Pandey S, et al. An integrated taxonomy for monogenic inflammatory bowel disease. Gastroenterology 2022;162:859–76. doi: 10.1053/j.gastro.2021.11.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Zarrei M, MacDonald JR, Merico D, Scherer SW.. A copy number variation map of the human genome. Nat Rev Genet 2015;16:172–83. [DOI] [PubMed] [Google Scholar]
  • 9. Rice AM, McLysaght A.. Dosage sensitivity is a major determinant of human copy number variant pathogenicity. Nat Commun 2017;8:14366. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Watson CT, Tomas MB, Sharp AJ, Mefford HC.. The genetics of microdeletion and microduplication syndromes: an update. Annu Rev Genomics Hum Genet 2014;15:215–44. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Karczewski KJ, Francioli LC, Tiao G, et al. The mutational constraint spectrum quantified from variation in 141 456 humans. Nature 2020;581:434–43. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Firth HV, Richards SM, Bevan AP, et al. DECIPHER: database of chromosomal imbalance and phenotype in humans using Ensembl resources. Am J Hum Genet 2009;84:524–33. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Landrum MJ, Chitipiralla S, Brown GR, et al. ClinVar: improvements to accessing data. Nucleic Acids Res 2019;48:D835–44. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Kammermeier J, Dziubak R, Pescarin M, et al. Phenotypic and genotypic characterisation of inflammatory bowel disease presenting before the age of 2 years. J Crohns Colitis 2016;11:60–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Crowley E, Warner N, Pan J, et al. Prevalence and clinical features of inflammatory bowel diseases associated with monogenic variants, identified by whole-exome sequencing in 1000 children at a single center. Gastroenterology 2020;158:2208–20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Turnbull C, Scott RH, Thomas E, et al. The 100 000 Genomes Project: bringing whole genome sequencing to the NHS. BMJ 2018;361:k1687. [DOI] [PubMed] [Google Scholar]
  • 17. Packer JS, Maxwell EK, O’Dushlaine C, et al. CLAMMS: a scalable algorithm for calling common and rare copy number variants from exome sequencing data. Bioinformatics 2015;32:133–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Roller E, Ivakhno S, Lee S, Royce T, Tanner S.. Canvas: versatile and scalable detection of copy number variants. Bioinformatics 2016;32:2375–7. [DOI] [PubMed] [Google Scholar]
  • 19. Gatti S, Gelzoni G, Catassi GN, Catassi C.. The clinical spectrum of inflammatory bowel disease associated with specific genetic syndromes: two novel pediatric cases and a systematic review. Front Pediatr 2021;9. doi: 10.3389/fped.2021.742830. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Cox DM, Butler MG.. Distal partial trisomy 15q26 and partial monosomy 16p13.3 in a 36-year-old male with clinical features of both chromosomal abnormalities. Cytogenet Genome Res 2015;145:29–34. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Kappelman MD, Moore KR, Allen JK, Cook SF.. Recent trends in the prevalence of Crohn’s disease and ulcerative colitis in a commercially insured US population. Dig Dis Sci 2013;58:519–25. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Jørgensen KT, Rostgaard K, Bache I, et al. Autoimmune diseases in women with Turner’s Syndrome. Arthritis Rheumatol 2010;62:658–66. [DOI] [PubMed] [Google Scholar]
  • 23. Bakalov VK, Gutin L, Cheng CM, et al. Autoimmune disorders in women with turner syndrome and women with karyotypically normal primary ovarian insufficiency. J Autoimmun 2012;38:315–21. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Goldacre MJ, Seminog OO.. Turner syndrome and autoimmune diseases: record-linkage study. Arch Dis Child 2014;99:71–3. [DOI] [PubMed] [Google Scholar]
  • 25. Hanew K, Tanaka T, Horikawa R, Hasegawa T, Yokoya S.. Prevalence of diverse complications and its association with karyotypes in Japanese adult women with Turner syndrome: a questionnaire survey by the Foundation for Growth Science. Endocr J 2018;65:509–19. [DOI] [PubMed] [Google Scholar]
  • 26. Cameron-Pimblett A, La Rosa C, King TFJ, Davies MC, Conway GS.. The Turner syndrome life course project: karyotype-phenotype analyses across the lifespan. Clin Endocrinol 2017;87:532–8. [DOI] [PubMed] [Google Scholar]
  • 27. Seminog OO, Seminog AB, Yeates D, Goldacre MJ.. Associations between Klinefelter’s syndrome and autoimmune diseases: English national record linkage studies. Autoimmunity 2015;48:125–8. [DOI] [PubMed] [Google Scholar]
  • 28. Vajro P, Cucchiara S, Vegnente A, et al. Primary sclerosing cholangitis preceding Crohn’s disease in a child with Down’s syndrome. Dig Dis Sci 1998;43:166–9. [DOI] [PubMed] [Google Scholar]
  • 29. Kaushik SP, Kaye G, Clarke AC.. Autoimmune hepatobiliary disease in trisomy 21. J Clin Gastroenterol 2000;30:330–2. [DOI] [PubMed] [Google Scholar]
  • 30. Souto-Rodríguez R, Barreiro-de-Acosta M, Domínguez-Muñoz JE.. Down’s syndrome and inflammatory bowel disease: is there a real link? Rev Esp Enferm Dig 2014;106:220–2. [PubMed] [Google Scholar]
  • 31. Wooldridge J, Zunich J.. Trisomy 9 syndrome: report of a case with Crohn disease and review of the literature. Am J Med Genet 1995;56:258–64. [DOI] [PubMed] [Google Scholar]
  • 32. Abell R, Difalco J, Morganstern J.. Ulcerative colitis in a child with partial trisomy 16. J Crohns Colitis 2013;7:e403. [DOI] [PubMed] [Google Scholar]
  • 33. Cereda A, Carey JC.. The trisomy 18 syndrome. Orphanet J Rare Dis 2012;7:81. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Bruns D. Presenting physical characteristics, medical conditions, and developmental status of long-term survivors with trisomy 9 mosaicism. Am J Med Genet A 2011;155:1033–9. [DOI] [PubMed] [Google Scholar]
  • 35. Sparks TN, Thao K, Norton ME.. Mosaic trisomy 16: what are the obstetric and long-term childhood outcomes? Genet Med 2017;19:1164–70. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. Tran NN, Setty M, Cham E, Chan AY, Ali S.. CTLA-4 haploinsufficiency presenting as extensive enteropathy in a patient with very early onset inflammatory bowel disease. JPGN Rep 2021;2:e099. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Taniguchi K, Inoue M, Arai K, et al. Novel TNFAIP3 microdeletion in a girl with infantile-onset inflammatory bowel disease complicated by a severe perianal lesion. Hum Genome Var 2021;8:1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38. Kelsen JR, Dawany N, Martinez A, et al. A de novo whole gene deletion of XIAP detected by exome sequencing analysis in very early onset inflammatory bowel disease: a case report. BMC Gastroenterol 2015;15:160. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39. Charbit-Henrion F, Begue B, Sierra A, et al. Copy number variations and founder effect underlying complete IL-10Rβ deficiency in Portuguese kindreds. PLoS One 2018;13:e0205826. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40. Merico D, Pasternak Y, Zarrei M, et al. Homozygous duplication identified by whole genome sequencing causes LRBA deficiency. NPJ Genom Med 2021;6:96. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41. Frenkel S, Bernstein CN, Sargent M, et al. Genome-wide analysis identifies rare copy number variations associated with inflammatory bowel disease. PLoS One 2019;14:e0217846. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Saadati HR, Wittig M, Helbig I, et al. Genome-wide rare copy number variation screening in ulcerative colitis identifies potential susceptibility loci. BMC Med Genet 2016;17:26. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43. Joosse ME, Charbit-Henrion F, Boisgard R, et al. Duplication of the IL2RA locus causes excessive IL-2 signaling and may predispose to very early onset colitis. Mucosal Immunol 2021. doi: 10.1038/s41385-021-00423-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44. Giannelou A, Wang H, Zhou Q, et al. Aberrant tRNA processing causes an autoinflammatory syndrome responsive to TNF inhibitors. Ann Rheum Dis 2018;77:612. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45. Frans G, Moens L, Schaballie H, et al. Homozygous N-terminal missense mutation in TRNT1 leads to progressive B-cell immunodeficiency in adulthood. J Allergy Clin Immunol 2017;139:360–3.e366. [DOI] [PubMed] [Google Scholar]
  • 46. Neves JF, Doffinger R, Barcena-Morales G, et al. Novel PLCG2 mutation in a patient with APLAID and cutis laxa. Front Immunol 2018. doi: 10.3389/fimmu.2018.02863. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47. Zhou Q, Lee GS, Brady J, et al. A hypermorphic missense mutation in PLCG2, encoding phospholipase Cγ2, causes a dominantly inherited autoinflammatory disease with immunodeficiency. Am J Hum Genet 2012;91:713–20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48. Kahr WHA, Pluthero FG, Elkadri A, et al. Loss of the Arp2/3 complex component ARPC1B causes platelet abnormalities and predisposes to inflammatory disease. Nat Commun 2017;8:14816. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49. Caudy AA, Reddy ST, Chatila T, Atkinson JP, Verbsky JW.. CD25 deficiency causes an immune dysregulation, polyendocrinopathy, enteropathy, X-linked-like syndrome, and defective IL-10 expression from CD4 lymphocytes. J Allergy Clin Immunol 2007;119:482–7. [DOI] [PubMed] [Google Scholar]
  • 50. Uhlen M, Fagerberg L, Hallström BM, et al. Tissue-based map of the human proteome. Science 2015;347:1260419. [DOI] [PubMed] [Google Scholar]
  • 51. Carrel L, Willard H.. X-inactivation profile reveals extensive variability in X-linked gene expression in females. Nature 2005;434:400–4. doi: 10.1038/nature03479. [DOI] [PubMed] [Google Scholar]
  • 52. Gravholt CH, Viuff MH, Brun S, Stochholm K, Andersen NH.. Turner syndrome: mechanisms and management. Nat Rev Endocrinol 2019;15:601–14. [DOI] [PubMed] [Google Scholar]
  • 53. Trolle C, Nielsen MM, Skakkebæk A, et al. Widespread DNA hypomethylation and differential gene expression in Turner syndrome. Sci Rep 2016;6:34220. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54. Speckmann C, Lehmberg K, Albert MH, et al. X-linked inhibitor of apoptosis [XIAP] deficiency: the spectrum of presenting manifestations beyond hemophagocytic lymphohistiocytosis. Clin Immunol 2013;149:133–41. [DOI] [PubMed] [Google Scholar]
  • 55. Barzaghi F, Amaya Hernandez LC, Neven B, et al. Long-term follow-up of IPEX syndrome patients after different therapeutic strategies: an international multicenter retrospective study. J Allergy Clin Immunol 2018;141:1036–49.e1035. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56. Dupuis-Girod S, Medioni J, Haddad E, et al. Autoimmunity in Wiskott-Aldrich syndrome: risk factors, clinical features, and outcome in a single-center cohort of 55 patients. Pediatrics 2013;111:e622–7. [DOI] [PubMed] [Google Scholar]
  • 57. Tuke MA, Ruth KS, Wood AR, et al. Mosaic Turner syndrome shows reduced penetrance in an adult population study. Genet Med 2019;21:877–86. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58. Warnatz K, Bossaller L, Salzer U, et al. Human ICOS deficiency abrogates the germinal center reaction and provides a monogenic model for common variable immunodeficiency. Blood 2006;107:3045–52. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

jjac103_suppl_Supplementary_Data

Data Availability Statement

All data described are available in deposited databases [such as Decipher or GEL] or are available on request.


Articles from Journal of Crohn's & Colitis are provided here courtesy of Oxford University Press

RESOURCES