Literature DB >> 19255754

Cost-effective HLA typing with tagging SNPs predicts celiac disease risk haplotypes in the Finnish, Hungarian, and Italian populations.

Lotta Koskinen1, Jihane Romanos, Katri Kaukinen, Kirsi Mustalahti, Ilma Korponay-Szabo, Donatella Barisani, Maria Teresa Bardella, Fabiana Ziberna, Serena Vatta, György Széles, Zsuzsa Pocsai, Kati Karell, Katri Haimila, Róza Adány, Tarcisio Not, Alessandro Ventura, Markku Mäki, Jukka Partanen, Cisca Wijmenga, Päivi Saavalainen.   

Abstract

Human leukocyte antigen (HLA) genes, located on chromosome 6p21.3, have a crucial role in susceptibility to various autoimmune and inflammatory diseases, such as celiac disease and type 1 diabetes. Certain HLA heterodimers, namely DQ2 (encoded by the DQA1*05 and DQB1*02 alleles) and DQ8 (DQA1*03 and DQB1*0302), are necessary for the development of celiac disease. Traditional genotyping of HLA genes is laborious, time-consuming, and expensive. A novel HLA-genotyping method, using six HLA-tagging single-nucleotide polymorphisms (SNPs) and suitable for high-throughput approaches, was described recently. Our aim was to validate this method in the Finnish, Hungarian, and Italian populations. The six previously reported HLA-tagging SNPs were genotyped in patients with celiac disease and in healthy individuals from Finland, Hungary, and two distinct regions of Italy. The potential of this method was evaluated in analyzing how well the tag SNP results correlate with the HLA genotypes previously determined using traditional HLA-typing methods. Using the tagging SNP method, it is possible to determine the celiac disease risk haplotypes accurately in Finnish, Hungarian, and Italian populations, with specificity and sensitivity ranging from 95% to 100%. In addition, it predicts homozygosity and heterozygosity for a risk haplotype, allowing studies on genotypic risk effects. The method is transferable between populations and therefore suited for large-scale research studies and screening of celiac disease among high-risk individuals or at the population level.

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Year:  2009        PMID: 19255754     DOI: 10.1007/s00251-009-0361-3

Source DB:  PubMed          Journal:  Immunogenetics        ISSN: 0093-7711            Impact factor:   2.846


  28 in total

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  16 in total

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Review 2.  Interrogating the major histocompatibility complex with high-throughput genomics.

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5.  Allele and haplotype frequencies for HLA-DQ in Iranian celiac disease patients.

Authors:  Mohammad Rostami-Nejad; Jihane Romanos; Kamran Rostami; Azita Ganji; Mohammad Javad Ehsani-Ardakani; Ali-Reza Bakhshipour; Homayoun Zojaji; Seyed Reza Mohebbi; Mohammad-Reza Zali; Cisca Wijmenga
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6.  Accurate HLA type inference using a weighted similarity graph.

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Journal:  BMC Bioinformatics       Date:  2010-12-14       Impact factor: 3.169

7.  Celiac disease and immigration in Northeastern Italy: the "drawn double nostalgia" of "cozonac" and "panettone" slices.

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9.  A novel serogenetic approach determines the community prevalence of celiac disease and informs improved diagnostic pathways.

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Journal:  BMC Med       Date:  2013-08-28       Impact factor: 8.775

10.  Two tagging single-nucleotide polymorphisms to capture HLA-DRB1*07:01-DQA1*02:01-DQB1*02:02 haplotype associated with asparaginase hypersensitivity.

Authors:  Nóra Kutszegi; András Gézsi; Ágnes F Semsei; Judit Müller; Réka Simon; Erika Rozália Kovács; Katalin Hegedüs; Gábor T Kovács; Csaba Szalai; Dániel J Erdélyi
Journal:  Br J Clin Pharmacol       Date:  2020-12-16       Impact factor: 4.335

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