Sequences of 95 human MHC haplotypes reveal extreme coding variation in genes other than highly polymorphic HLA class i and II

Paul J. Norman, Steven J. Norberg, Lisbeth A. Guethlein, Neda Nemat-Gorgani, Thomas Royce, Emily E. Wroblewski, Tamsen Dunn, Tobias Mann, Claudia Alicata, Jill A. Hollenbach, Weihua Chang, Melissa Shults Won, Kevin L. Gunderson, Laurent Abi-Rached, Mostafa Ronaghi, Peter Parham

    Research output: Contribution to journalArticlepeer-review

    77 Scopus citations

    Abstract

    The most polymorphic part of the human genome, the MHC, encodes over 160 proteins of diverse function. Half of them, including the HLA class I and II genes, are directly involved in immune responses. Consequently, the MHC region strongly associates with numerous diseases and clinical therapies. Notoriously, the MHC region has been intractable to high-throughput analysis at complete sequence resolution, and current reference haplotypes are inadequate for large-scale studies. To address these challenges, we developed a method that specifically captures and sequences the 4.8-Mbp MHC region from genomic DNA. For 95 MHC homozygous cell lines we assembled, de novo, a set of high-fidelity contigs and a sequence scaffold, representing a mean 98% of the target region. Included are six alternative MHC reference sequences of the human genome that we completed and refined. Characterization of the sequence and structural diversity of the MHC region shows the approach accurately determines the sequences of the highly polymorphic HLA class I and HLA class II genes and the complex structural diversity of complement factor C4A/C4B. It has also uncovered extensive and unexpected diversity in other MHC genes; an example is MUC22, which encodes a lung mucin and exhibits more coding sequence alleles than any HLA class I or II gene studied here. More than 60% of the coding sequence alleles analyzed were previously uncharacterized. We have created a substantial database of robust reference MHC haplotype sequences that will enable future population scale studies of this complicated and clinically important region of the human genome.

    Original languageEnglish
    Pages (from-to)813-823
    Number of pages11
    JournalGenome research
    Volume27
    Issue number5
    DOIs
    StatePublished - May 2017

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