Journal of Clinical and Cellular Immunology
Open Access
ISSN: 2155-9899
ISSN: 2155-9899
Nutan Dighe
India
Research Article
Comparative Analyses of Low, Medium and High-Resolution HLA Typing Technologies for Human Populations
Author(s): Malali Gowda, Sheetal Ambardar, Nutan Dighe, Ashwini Manjunath, Chandana Shankaralingu, Pradeep Hirannaiah, John Harting, Swati Ranade, Latha Jagannathan and Sudhir Krishna
Malali Gowda, Sheetal Ambardar, Nutan Dighe, Ashwini Manjunath, Chandana Shankaralingu, Pradeep Hirannaiah, John Harting, Swati Ranade, Latha Jagannathan and Sudhir Krishna
Human Leukocyte Antigen (HLA) encoding genes are part of the major histocompatibility complex (MHC) on human chromosome 6. This region is one of the most polymorphic regions in the human genome. Prior knowledge of HLA allelic polymorphisms is clinically important for matching donor and recipient during organ/tissue transplantation. HLA allelic information is also useful in predicting immune responses to various infectious diseases, genetic disorders and autoimmune conditions. India harbors over a billion people and its population is untapped for HLA allelic diversity. In this study, we explored and compared three HLA typing methods for South Indian population, using Sequence-Specific Primers (SSP), NGS (Roche/454) and single- molecule sequencing (PacBio RS II) platforms. Over 1020 DNA samples were typed at low resolution using SSP method to determine the major HLA alleles within the S.. View More»
DOI:
10.4172/2155-9899.1000399