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10.1016/j.humimm.2017.01.006 http://scihub22266oqcxt.onion/10.1016/j.humimm.2017.01.006 C5367449!5367449!28111166     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Hum+Immunol 2017 ; 78 (3): 242-51 Nephropedia Template TP {{tp|p=28111166|t=2017. High resolution HLA haplotyping by imputation for a British population bioresource |pdf=|usr=}}{{28111166}} gab.com Text High resolution HLA haplotyping by imputation for a British population bioresource JO: Hum Immunol http://www.kidney.de/pget.php?&tw=1&pmid=28111166 #FOAvip This study aimed to establish the occurrence and frequency of HLA alleles and haplotypes for a healthy British Caucasian population bioresource from Oxfordshire. We present the results of imputation from HLA SNP genotyping data using SNP2HLA for 5553 individuals from Oxford Biobank, defining one- and two-field alleles together with amino acid polymorphisms. We show that this achieves a high level of accuracy with validation using sequence-specific primer amplification PCR. We define six- and eight-locus HLA haplotypes for this population by Bayesian methods implemented using PHASE. We determine patterns of linkage disequilibrium and recombination for these individuals involving classical HLA loci and show how analysis within a haplotype block structure may be more tractable for imputed data. Our findings contribute to knowledge of HLA diversity in healthy populations and further validate future large-scale use of HLA imputation as an informative approach in population bioresources. Twit Text FOAVip High resolution HLA haplotyping by imputation for a British population bioresource ????Hum Immunol http://www.kidney.de/pget.php?&tw=1&pmid=28111166 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28111166 #FOAvip English Wikipedia <ref>{{Cite pmid|28111166}}</ref> High resolution HLA haplotyping by imputation for a British population bioresource #MMPMID28111166 Neville MJ; Lee W; Humburg P; Wong D; Barnardo M; Karpe F; Knight JC Hum Immunol 2017[Mar]; 78 (3): 242-51 PMID28111166show ga This study aimed to establish the occurrence and frequency of HLA alleles and haplotypes for a healthy British Caucasian population bioresource from Oxfordshire. We present the results of imputation from HLA SNP genotyping data using SNP2HLA for 5553 individuals from Oxford Biobank, defining one- and two-field alleles together with amino acid polymorphisms. We show that this achieves a high level of accuracy with validation using sequence-specific primer amplification PCR. We define six- and eight-locus HLA haplotypes for this population by Bayesian methods implemented using PHASE. We determine patterns of linkage disequilibrium and recombination for these individuals involving classical HLA loci and show how analysis within a haplotype block structure may be more tractable for imputed data. Our findings contribute to knowledge of HLA diversity in healthy populations and further validate future large-scale use of HLA imputation as an informative approach in population bioresources. äHigh resolution HLA haplotyping by imputation for a British population(epmc).pdf DeepDyve Pubget Overpricing