ORCID Profile
0000-0001-6738-8271
Current Organisation
University of Melbourne
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Publisher: IEEE
Date: 11-2015
Publisher: Elsevier BV
Date: 04-2001
Publisher: Elsevier BV
Date: 12-2000
Publisher: Wiley
Date: 2001
DOI: 10.1002/ASI.1146
Publisher: IEEE
Date: 11-2010
Publisher: IEEE
Date: 09-2013
Publisher: Springer Berlin Heidelberg
Date: 2013
Publisher: Springer Berlin Heidelberg
Date: 2010
Publisher: Springer Science and Business Media LLC
Date: 2004
Publisher: Frontiers Media SA
Date: 11-06-2021
DOI: 10.3389/FIMMU.2021.684326
Abstract: 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 s le 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.
Publisher: Springer Berlin Heidelberg
Date: 2010
Publisher: SPIE
Date: 05-10-1998
DOI: 10.1117/12.325854
Publisher: Springer Berlin Heidelberg
Date: 2009
Publisher: IEEE
Date: 12-2010
Publisher: IEEE
Date: 2001
Publisher: IEEE
Date: 06-2013
Publisher: Elsevier BV
Date: 10-1996
Publisher: ACM Press
Date: 2003
Publisher: Springer Berlin Heidelberg
Date: 2000
Publisher: Springer Berlin Heidelberg
Date: 2003
Publisher: Springer Science and Business Media LLC
Date: 2003
Publisher: Brepols Publishers
Date: 2013
Publisher: Cold Spring Harbor Laboratory
Date: 25-01-2020
DOI: 10.1101/2020.01.24.919191
Abstract: We report the development of MHC*IMP, a method for imputing non-classical HLA and other genes in the human Major Histocompatibility Complex (MHC). We created a reference panel for 25 genes in the MHC using allele calls from Whole Genome Sequencing data, combined with SNP data for the same in iduals. We used this to construct an allele imputation model, MHC*IMP, for each gene. Cross-validation showed that MHC*IMP performs very well, with allele prediction accuracy 93% or greater for all but two of the genes, and greater than 95% for all but four.
Publisher: Springer Science and Business Media LLC
Date: 11-2004
No related grants have been discovered for David Squire.