6533b85bfe1ef96bd12bbf48

RESEARCH PRODUCT

HLA typing from RNA-Seq sequence reads.

Michael K. E. SchäferMartin LöwerJos De GraafÖZlem TüreciJohn C. CastleValesca BoisguerinSebastian BoegelThomas BukurUgur SahinMustafa Diken

subject

Geneticsbusiness.industryMethodRNA-SeqHuman leukocyte antigenHuman geneticsDNA sequencingGeneticsBiomarker (medicine)MedicineMolecular MedicineGenetics(clinical)International HapMap ProjectAllelebusinessMolecular BiologyGenetics (clinical)Sequence (medicine)

description

We present a method, seq2HLA, for obtaining an individual's human leukocyte antigen (HLA) class I and II type and expression using standard next generation sequencing RNA-Seq data. RNA-Seq reads are mapped against a reference database of HLA alleles, and HLA type, confidence score and locus-specific expression level are determined. We successfully applied seq2HLA to 50 individuals included in the HapMap project, yielding 100% specificity and 94% sensitivity at a P-value of 0.1 for two-digit HLA types. We determined HLA type and expression for previously un-typed Illumina Body Map tissues and a cohort of Korean patients with lung cancer. Because the algorithm uses standard RNA-Seq reads and requires no change to laboratory protocols, it can be used for both existing datasets and future studies, thus adding a new dimension for HLA typing and biomarker studies.

10.1186/gm403https://pubmed.ncbi.nlm.nih.gov/23259685