scholarly journals Large-Scale Imputation of KIR Copy Number and HLA Alleles in North American and European Psoriasis Case-Control Cohorts Reveals Association of Inhibitory KIR2DL2 With Psoriasis

2021 ◽  
Vol 12 ◽  
Author(s):  
Richard Ahn ◽  
Damjan Vukcevic ◽  
Allan Motyer ◽  
Joanne Nititham ◽  
David McG. Squire ◽  
...  
Keyword(s):  
San Francisco ◽  
Copy Number ◽  
Large Scale ◽  
Killer Cell ◽  
Small Sample ◽  
Replication Cohort ◽  
Discovery Cohort ◽  
Kaiser Permanente ◽  
Hla Alleles ◽  
Kir Genes

Killer cell immunoglobulin-like receptors (KIR) regulate immune responses in NK and CD8+ T cells via interaction with HLA ligands. KIR genes, including KIR2DS1, KIR3DL1, and KIR3DS1 have previously been implicated in psoriasis susceptibility. However, these previous studies were constrained to small sample sizes, in part due to the time and expense required for direct genotyping of KIR genes. Here, we implemented KIR*IMP to impute KIR copy number from single-nucleotide polymorphisms (SNPs) on chromosome 19 in the discovery cohort (n=11,912) from the PAGE consortium, University of California San Francisco, and the University of Dundee, and in a replication cohort (n=66,357) from Kaiser Permanente Northern California. Stratified multivariate logistic regression that accounted for patient ancestry and high-risk HLA alleles revealed that KIR2DL2 copy number was significantly associated with psoriasis in the discovery cohort (p ≤ 0.05). The KIR2DL2 copy number association was replicated in the Kaiser Permanente replication cohort. This is the first reported association of KIR2DL2 copy number with psoriasis and highlights the importance of KIR genetics in the pathogenesis of psoriasis.

scholarly journals A large-scale investigation into the role of classical HLA loci in multiple types of severe infections, with a focus on overlaps with autoimmune and mental disorders

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Ron Nudel ◽  
Rosa Lundbye Allesøe ◽  
Wesley K. Thompson ◽  
Thomas Werge ◽  
Simon Rasmussen ◽  
...  
Keyword(s):  
Autoimmune Disease ◽  
Psychiatric Disorders ◽  
Large Scale ◽  
Viral Infections ◽  
Human Leukocyte ◽  
Severe Infection ◽  
Small Sample ◽  
Disease Etiology ◽  
Hla Alleles ◽  
Severe Infections

Abstract Background Infections are a major disease burden worldwide. While they are caused by external pathogens, host genetics also plays a part in susceptibility to infections. Past studies have reported diverse associations between human leukocyte antigen (HLA) alleles and infections, but many were limited by small sample sizes and/or focused on only one infection. Methods We performed an immunogenetic association study examining 13 categories of severe infection (bacterial, viral, central nervous system, gastrointestinal, genital, hepatitis, otitis, pregnancy-related, respiratory, sepsis, skin infection, urological and other infections), as well as a phenotype for having any infection, and seven classical HLA loci (HLA-A, B, C, DPB1, DQA1, DQB1 and DRB1). Additionally, we examined associations between infections and specific alleles highlighted in our previous studies of psychiatric disorders and autoimmune disease, as these conditions are known to be linked to infections. Results Associations between HLA loci and infections were generally not strong. Highlighted associations included associations between DQB1*0302 and DQB1*0604 and viral infections (P = 0.002835 and P = 0.014332, respectively), DQB1*0503 and sepsis (P = 0.006053), and DQA1*0301 with “other” infections (a category which includes infections not included in our main categories e.g. protozoan infections) (P = 0.000369). Some HLA alleles implicated in autoimmune diseases showed association with susceptibility to infections, but the latter associations were generally weaker, or with opposite trends (in the case of HLA-C alleles, but not with alleles of HLA class II genes). HLA alleles associated with psychiatric disorders did not show association with susceptibility to infections. Conclusions Our results suggest that classical HLA alleles do not play a large role in the etiology of severe infections. The discordant association trends with autoimmune disease for some alleles could contribute to mechanistic theories of disease etiology.

scholarly journals Copy number variation analysis of twin pairs discordant for cleft lip with or without cleft palate

2019 ◽  
Vol 33 ◽  
pp. 205873841985587
Author(s):  
Luca Scapoli ◽  
Francesco Carinci ◽  
Annalisa Palmieri ◽  
Francesca Cura ◽  
Alessandro Baj ◽  
...  
Keyword(s):  
Cleft Palate ◽  
Copy Number ◽  
Large Scale ◽  
Cleft Lip ◽  
Small Sample Size ◽  
Copy Number Variants ◽  
Monozygotic Twins ◽  
Monozygotic Twin ◽  
Small Sample ◽  
High Level

Non-syndromic cleft lip with or without cleft palate (nsCL/P) is a frequent orofacial malformation. The comparison of concordance rate observed in monozygotic and dizygotic twins supports high level of heritability and a strong genetic component. However, phenotype concordance for orofacial cleft in monozygotic twins is about 50%. The aim of the present investigation was to detect postzygotic events that may account for discordance in monozygotic twins. High-density SNP microarrays hybridization was used to genotype two pairs of monozygotic twins discordant for nsCL/P. Discordant SNP genotypes and copy number variants were analyzed to identify genetic differences responsible of phenotype discrepancy. A number of differences were observed, none involving known nsCL/P candidate genes or genomic regions. Considering the limitation of the study, related to the small sample size and to the large-scale investigation method, the results suggest that the detection of discordant events in other monozygotic twin pairs would be remarkable and warrant further investigations.

scholarly journals HLA Alleles and KIR Genes in Romanian Patients with Chronic Hepatitis C

2020 ◽  
Author(s):  
Larisa Ursu ◽  
Bogdan Calenic ◽  
Mircea Diculescu ◽  
Alina Dima ◽  
Ileana Constantinescu
Keyword(s):  
Hepatitis C ◽  
Nk Cells ◽  
Killer Cell ◽  
Human Leukocyte ◽  
Hla Class I ◽  
Hcv Infection ◽  
Hla Alleles ◽  
Kir Genes ◽  
Hla Ligands ◽  
Chronic Hcv

Background and Aims: The role of natural killer (NK) cells in the defense against hepatitis C virus (HCV) infection involve both innate and adaptive immunity. NK cells express a large panel of inhibitory and activating receptors who bind human leukocyte antigen (HLA) class I receptors. Killer cell immunoglobulin-like receptors (KIRs) are the most polymorphic of these receptors being encoded by genes distributed differently in unrelated individuals. The aim of this study was to look at the immune response in chronic HCV patients by assessing NK-KIR genes and their corresponding HLA ligands. Methods: We genotyped 127 chronically HCV-infected patients and 130 non-infected healthy individuals for both KIR genes and their HLA ligands. The HLA-A, HLA-B, HLA-C genotypes were analyzed using polymerase chain reaction high-resolution typing. Results: KIR2DL3, KIR2DL5, KIR2DS4 norm, KIR3DL3, KIR2DP1, KIR3DP1 genes were significantly increased in the HCV group compared to healthy individual. Analysis of various HLA haplotypes revealed different HLA alleles associated with increased susceptibility to HCV infection. Thus, HLA A*23:01 was more frequent in the patients’ group than in the controls (p=0.030). At the same time HLA B*44:02 and C*04:02 were significantly elevated in HCV-positive patients (p=0.008 and respectively p= 0.007). Conclusions: These results suggest that the expression of KIR2DL3, KIR2DL5, KIR2DS4 norm, KIR3DL3 genes and the association with HLA alleles such as HLA A*23:01, B*44:02, C*04:02 may increase the patient susceptibility to chronic HCV infection.

scholarly journals High-throughput Interpretation of Killer-cell Immunoglobulin-like Receptor Short-read Sequencing Data with PING

2021 ◽  
Author(s):  
Wesley Marin ◽  
Ravi Dandekar ◽  
Danillo G. Augusto ◽  
Tasneem Yusufali ◽  
Bianca Heyn ◽  
...  
Keyword(s):  
High Resolution ◽  
High Throughput ◽  
Copy Number ◽  
Killer Cell ◽  
Gene Copy Number ◽  
Gene Copy ◽  
Sequencing Data ◽  
Short Read ◽  
Short Read Sequencing ◽  
Kir Genes

The killer-cell immunoglobulin-like receptor ( KIR) complex on chromosome 19 encodes receptors that modulate the activity of natural killer cells, and variation in these genes has been linked to infectious and autoimmune disease, as well as having bearing on pregnancy and transplant outcomes. The medical relevance and high variability of KIR genes makes short-read sequencing an attractive technology for interrogating the region, providing a high-throughput, high-fidelity sequencing method that is cost-effective. However, because this gene complex is characterized by extensive nucleotide polymorphism, structural variation including gene fusions and deletions, and a high level of homology between genes, its interrogation at high resolution has been thwarted by bioinformatic challenges, with most studies limited to examining presence or absence of specific genes. Here, we present the PING (Pushing Immunogenetics to the Next Generation) pipeline, which incorporates empirical data, novel alignment strategies and a custom alignment processing workflow to enable high-throughput KIR sequence analysis from short-read data. PING provides KIR gene copy number classification functionality for all KIR genes through use of a comprehensive alignment reference. The gene copy number determined per individual enables an innovative genotype determination workflow using genotype-matched references. Together, these methods address the challenges imposed by the structural complexity and overall homology of the KIR complex. To determine copy number and genotype determination accuracy, we applied PING to European and African validation cohorts and a synthetic dataset. PING demonstrated exceptional copy number determination performance across all datasets and robust genotype determination performance. Finally, an investigation into discordant genotypes for the synthetic dataset provides insight into misaligned reads, advancing our understanding in interpretation of short-read sequencing data in complex genomic regions. PING promises to support a new era of studies of KIR polymorphism, delivering high-resolution KIR genotypes that are highly accurate, enabling high-quality, high-throughput KIR genotyping for disease and population studies.

scholarly journals Frequent loss of HLA alleles associated with copy number-neutral 6pLOH in acquired aplastic anemia

Blood ◽  
2011 ◽  
Vol 118 (25) ◽  
pp. 6601-6609 ◽  
Author(s):  
Takamasa Katagiri ◽  
Aiko Sato-Otsubo ◽  
Koichi Kashiwase ◽  
Satoko Morishima ◽  
Yusuke Sato ◽  
...  
Keyword(s):  
Aplastic Anemia ◽  
Copy Number ◽  
Large Scale ◽  
Genetic Basis ◽  
Cytotoxic T Cells ◽  
Neutral Loss ◽  
Epidemiologic Study ◽  
Hematopoietic Progenitors ◽  
Hla Alleles ◽  
Insight Into

AbstractIdiopathic aplastic anemia (AA) is a common cause of acquired BM failure. Although autoimmunity to hematopoietic progenitors is thought to be responsible for its pathogenesis, little is known about the molecular basis of this autoimmunity. Here we show that a substantial proportion of AA patients harbor clonal hematopoiesis characterized by the presence of acquired copy number-neutral loss of heterozygosity (CNN-LOH) of the 6p arms (6pLOH). The 6pLOH commonly involved the HLA locus, leading to loss of one HLA haplotype. Loss of HLA-A expression from multiple lineages of leukocytes was confirmed by flow cytometry in all 6pLOH(+) cases. Surprisingly, the missing HLA-alleles in 6pLOH(+) clones were conspicuously biased to particular alleles, including HLA-A*02:01, A*02:06, A*31:01, and B*40:02. A large-scale epidemiologic study on the HLA alleles of patients with various hematologic diseases revealed that the 4 HLA alleles were over-represented in the germline of AA patients. These findings indicate that the 6pLOH(+) hematopoiesis found in AA represents “escapes” hematopoiesis from the autoimmunity, which is mediated by cytotoxic T cells that target the relevant auto-antigens presented on hematopoietic progenitors through these class I HLAs. Our results provide a novel insight into the genetic basis of the pathogenesis of AA.

CONTRIBUTION OF DNA COPY-NUMBER VARIATION (CNV) TO CANCER SUSCEPTIBILITY AND LARGE-SCALE GENOME ALTERATIONS IN OSTEOSARCOMA (OS)

2008 ◽  
Vol 31 (4) ◽  
pp. 19
Author(s):  
I Pasic ◽  
A Shlien ◽  
A Novokmet ◽  
C Zhang ◽  
U Tabori ◽  
...  
Keyword(s):  
Genomic Instability ◽  
Large Scale ◽  
Structural Variation ◽  
Age Of Onset ◽  
Cancer Susceptibility ◽  
Small Sample Size ◽  
Snp Array ◽  
Tumour Suppressor Gene ◽  
Small Sample ◽  
International Hapmap Project

Introduction: OS, a common Li-Fraumeni syndrome (LFS)-associated neoplasm, is a common bone malignancy of children and adolescents. Sporadic OS is also characterized by young age of onset and high genomic instability, suggesting a genetic contribution to disease. This study examined the contribution of novel DNA structural variation elements, CNVs, to OS susceptibility. Given our finding of excessive constitutional DNA CNV in LFS patients, which often coincide with cancer-related genes, we hypothesized that constitutional CNV may also provide clues about the aetiology of LFS-related sporadic neoplasms like OS. Methods: CNV in blood DNA of 26 patients with sporadic OS was compared to that of 263 normal control samples from the International HapMap project, as well as 62 local controls. Analysis was performed on DNA hybridized to Affymetrix genome-wide human SNP array 6.0 by Partek Genomic Suite. Results: There was no detectable difference in average number of CNVs, CNV length, and total structural variation (product of average CNV number and length) between individuals with OS and controls. While this data is preliminary (small sample size), it argues against the presence of constitutional genomic instability in individuals with sporadic OS. Conclusion: We found that the majority of tumours from patients with sporadic OS show CN loss at chr3q13.31, raising the possibility that chr3q13.31 may represent a “driver” region in OS aetiology. In at least one OS tumour, which displays CN loss at chr3q13.31, we demonstrate decreased expression of a known tumour suppressor gene located at chr3q13.31. We are investigating the role ofchr3q13.31 in development of OS.

0306 Exploring the feasibility of using copy number variants as genetic markers through large-scale whole genome sequencing experiments

2016 ◽  
Vol 94 (suppl_5) ◽  
pp. 146-146
Author(s):  
D. M. Bickhart ◽  
L. Xu ◽  
J. L. Hutchison ◽  
J. B. Cole ◽  
D. J. Null ◽  
...  
Keyword(s):  
Whole Genome Sequencing ◽  
Genetic Markers ◽  
Genome Sequencing ◽  
Copy Number ◽  
Large Scale ◽  
Copy Number Variants ◽  
Whole Genome

scholarly journals Use of Antiplatelet Agents Decreases the Positive Predictive Value of Fecal Immunochemical Tests for Colorectal Cancer but Does Not Affect Their Sensitivity

2021 ◽  
Vol 11 (6) ◽  
pp. 497
Author(s):  
Yoonsuk Jung ◽  
Eui Im ◽  
Jinhee Lee ◽  
Hyeah Lee ◽  
Changmo Moon
Keyword(s):  
Colorectal Cancer ◽  
Large Scale ◽  
Screening Program ◽  
Antiplatelet Agents ◽  
Population Based ◽  
Small Sample ◽  
Antithrombotic Agents ◽  
Predictive Values ◽  
Prescription Rates ◽  
Small Sample Sizes

Previous studies have evaluated the effects of antithrombotic agents on the performance of fecal immunochemical tests (FITs) for the detection of colorectal cancer (CRC), but the results were inconsistent and based on small sample sizes. We studied this topic using a large-scale population-based database. Using the Korean National Cancer Screening Program Database, we compared the performance of FITs for CRC detection between users and non-users of antiplatelet agents and warfarin. Non-users were matched according to age and sex. Among 5,426,469 eligible participants, 768,733 used antiplatelet agents (mono/dual/triple therapy, n = 701,683/63,211/3839), and 19,569 used warfarin, while 4,638,167 were non-users. Among antiplatelet agents, aspirin, clopidogrel, and cilostazol ranked first, second, and third, respectively, in terms of prescription rates. Users of antiplatelet agents (3.62% vs. 4.45%; relative risk (RR): 0.83; 95% confidence interval (CI): 0.78–0.88), aspirin (3.66% vs. 4.13%; RR: 0.90; 95% CI: 0.83–0.97), and clopidogrel (3.48% vs. 4.88%; RR: 0.72; 95% CI: 0.61–0.86) had lower positive predictive values (PPVs) for CRC detection than non-users. However, there were no significant differences in PPV between cilostazol vs. non-users and warfarin users vs. non-users. For PPV, the RR (users vs. non-users) for antiplatelet monotherapy was 0.86, while the RRs for dual and triple antiplatelet therapies (excluding cilostazol) were 0.67 and 0.22, respectively. For all antithrombotic agents, the sensitivity for CRC detection was not different between users and non-users. Use of antiplatelet agents, except cilostazol, may increase the false positives without improving the sensitivity of FITs for CRC detection.

scholarly journals EPCO-29. EPIGENOMICS OF THE GLIOMA LONGITUDINAL ANALYSIS (GLASS) CONSORTIUM

2020 ◽  
Vol 22 (Supplement_2) ◽  
pp. ii75-ii75
Author(s):  
Thais Sabedot ◽  
Michael Wells ◽  
Indrani Datta ◽  
Tathiane Malta ◽  
Ana Valeria Castro ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Longitudinal Analysis ◽  
Copy Number ◽  
Large Scale ◽  
Molecular Classification ◽  
Tumor Burden ◽  
Copy Number Alterations ◽  
Unsupervised Analysis ◽  
Diffuse Gliomas ◽  
New Biomarkers

Abstract Adult diffuse gliomas are central nervous system (CNS) tumors that arise from the malignant transformation of glial cells. Nearly all gliomas will recur despite standard treatment however, current histopathological grading fails to predict which of them will relapse and/or progress. The Glioma Longitudinal AnalySiS (GLASS) consortium is a large-scale collaboration that aims to investigate the molecular profiling of matched primary and recurrent glioma samples from multiple institutions in order to better understand the dynamic evolution of these tumors. At this time, the cohort comprises 946 samples across 11 institutions and among those, 864 have DNA methylation data available. The current molecular classification based on 7 subtypes published by TCGA in 2016 was applied to the dataset. Among the IDH wildtype tumors, 33% (16/49) of the patients showed a change of subtype upon recurrence, whereas most of them (9/16) were Classic-like at the primary stage but changed to either Mesenchymal-like or PA-like at the recurrent level. Among the IDH mutant tumors, 15% (22/142) showed a change of subtype at recurrent stage, in which 16 out of 22 progressed from G-CIMP-high to G-CIMP-low. Although some tumors progressed to a different subtype upon recurrence, an unsupervised analysis showed that the samples tend to cluster by patient instead of by subtype. By estimating the copy number alterations of these tumors using DNA methylation, the overall copy number profile of the recurrent samples remains similar to their primary counterpart. From this initial analysis using epigenomic data, we were able to characterize some aspects of glioma evolution and how the DNA methylation is associated with the progression of these tumors to different subtypes. These findings corroborate the importance of epigenetics in gliomas and can potentially lead to the identification of new biomarkers that can reflect tumor burden and predict its development.

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