We used the WGS data to impute HLA alleles using the HISAT-genotype software that utilizes HISAT2 (hierarchical indexing for spliced alignment of transcripts 2) alignment system to align DNA sequences using a graph Ferragina Manzini index (10 (link)). We had high quality (call rate) of imputation for HLA-DQA1*01:02 allele in both IMPACT (98.81%) and POISED (98.75%).
Whole Genome Sequencing and HLA Imputation
We used the WGS data to impute HLA alleles using the HISAT-genotype software that utilizes HISAT2 (hierarchical indexing for spliced alignment of transcripts 2) alignment system to align DNA sequences using a graph Ferragina Manzini index (10 (link)). We had high quality (call rate) of imputation for HLA-DQA1*01:02 allele in both IMPACT (98.81%) and POISED (98.75%).
Corresponding Organization : Johns Hopkins Medicine
Other organizations : Immune Tolerance Network, Virginia Mason Medical Center, Stanford University, King's College London, National Health Service, Guy's and St Thomas' NHS Foundation Trust, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Arkansas Children's Hospital, University of Arkansas for Medical Sciences
Variable analysis
- Whole genome sequencing (WGS) to a depth of 30X coverage using Illumina HiSeq X sequencer
- Sample preparation using Illumina TruSeq Nano DNA library or TruSeq DNA PCR-free library preparation guides
- Assembly of individual genomes using the Isaac aligner
- Variant calling using the DRAGEN Germline Small Variant Caller
- Genome variant file (gVCF) with variants and quality metrics
- HLA allele imputation using HISAT-genotype software
- Sample-based quality control to drop samples with sex inconsistencies
- Variant filtering based on quality metrics (GQX, DP, SNP hard quality, low depth, ploidy conflict, median base quality, likelihood)
- Positive control: Not specified
- Negative control: Not specified
Annotations
Based on most similar protocols
As authors may omit details in methods from publication, our AI will look for missing critical information across the 5 most similar protocols.
About PubCompare
Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.
We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.
However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.
Ready to get started?
Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required
Revolutionizing how scientists
search and build protocols!