Dense genotyping identifies and localizes multiple common and rare variant association signals in celiac disease
By G. Trynka, K. Hunt, N. Bockett, J. Romanos, Vanisha Mistry, A. Szperl, S. Bakker, M. Bardella, Leena Bhaw-Rosun, G. Castillejo and 54 more. Nature Genetics, 2011
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Using variants from the 1000 Genomes Project pilot European CEU dataset and data from additional resequencing studies, we densely genotyped 183 non-HLA risk loci previously associated with immune-mediated diseases in 12,041 individuals with celiac disease (cases) and 12,228 controls. We identified 13 new celiac disease risk loci reaching genome-wide significance, bringing the number of known loci (including the HLA locus) to 40. We found multiple independent association signals at over one-third of these loci, a finding that is attributable to a combination of common, low-frequency and rare genetic variants. Compared to previously available data such as those from HapMap3, our dense genotyping in a large sample collection provided a higher resolution of the pattern of linkage disequilibrium and suggested localization of many signals to finer scale regions. In particular, 29 of the 54 fine-mapped signals seemed to be localized to single genes and, in some instances, to gene regulatory elements. Altogether, we define the complex genetic architecture of the risk regions of and refine the risk signals for celiac disease, providing the next step toward uncovering the causal mechanisms of the disease.
Subfields: Gastroenterology, Genetics, Surgery
View Paper: https://www.semanticscholar.org/paper/07c25868b337cdef9c12ef6811064a782fa1d037
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Citations in the corpus
- Bayesian Test for Colocalisation between Pairs of Genetic Association Studies Using Summary Statistics (2013, background): “However, recent studies have shown that it is not unusual to observe two or more independent associations at a locus for a trait of interest [22].”
- GENETICS AND PATHOGENESIS OF INFLAMMATORY BOWEL DISEASE (2016, methodology): “The use of Immunochip allowed deep replication of previous GWAS data, including the top 2,000 independent association signals for each disease (45, 46).”
- JAK and STAT signaling molecules in immunoregulation and immune-mediated disease. (2012, background): “It acts on multiple cells, especially basophils, which are major producers of IL-4 (Siracusa et al., 2011; van Panhuys et al., 2011).”
- Identifying Causal Variants at Loci with Multiple Signals of Association (2014, background): “…approaches above that yield the same ranking of SNPs, conditioning approaches to dissect the association signal that may change the ranking of variants have also been proposed (Allen et al. 2010; Galarneau et al. 2010; Chung et al. 2011; Trynka et al. 2011; Stahl et al. 2012; Flister et al. 2013).”
- The NHGRI-EBI GWAS Catalog of published genome-wide association studies, targeted arrays and summary statistics 2019 (2018, background): “org/) to make available SS from their GWAS studies (26,27).”
- Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits (2012, background): “(11) np g © 2 01 2 N at ur e A m er ic a, In c.”
- Fast Principal Component Analysis of Large-Scale Genome-Wide Data (2014, methodology): “Next, we analyzed an LD-pruned celiac disease Immunochip dataset consisting of 16,002 individuals and 43,049 SNPs after thinning by LD [8] (Materials).”