Genomic Formats and the HLA Data Standard

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Presentation transcript:

Genomic Formats and the HLA Data Standard Benjamin Gifford Life Technologies R&D Sunday, November 17, 2013

Existing Data Standards The draft standard for HLA on Next-Gen Sequencing (NGS) uses existing data standards where it makes sense. Some of the standards are common with the genomic sequencing community, others are HLA specific.

Existing Data Standards The draft standard for HLA on Next-Gen Sequencing (NGS) uses existing data standards where it makes sense. Some of the standards are common with the genomic sequencing community, others are HLA specific. Don’t reinvent the wheel!

Genomic Formats Referenced in the MIBBI Genome Reference Consortium FASTA Format FASTQ Format Sequence Read Archive Genetic Testing Registry Variant Call Format Genome List String

Genome Reference Consortium (GRC) A single reference consensus sequence of a genome. The current build for Homo sapiens is GRC37. Most other genomic resources use this build as the basis of their genome, such as UCSC Genome Browser’s HG19. The Genome Reference Consortium includes:

Consists of a header line, followed by lines of sequence. FASTA Format >chr7 GGCAGATTCCCCCTAGACCCGCCCGCACCATGGTCAG GCATGCCCCTCCTCATCGCTGGGCACAGCCCAGAGGG TATAAACAGTGCTGGAGGCTGGCGGGGCAG Consists of a header line, followed by lines of sequence. Most common standard for reporting sequence, including the GRC. As a single tiling, this format does not contain polymorphisms.

A data format that includes the FASTA sequence and data quality. FASTQ Format @EAS54_6_R1_2_1_443_348 GTTGCTTCTGGCGTGGGTGGGGGGG +EAS54_6_R1_2_1_443_348 ;;;;;;;;;;;9;7;;.7;393333 A data format that includes the FASTA sequence and data quality. Most common standard for NGS data. Developed by Wellcome Trust Sanger Institute.

NCBI Resources Sequence Read Archive (SRA) is an archive created by NCBI to store NGS reads. SRA accepts FASTQ and other common NGS formats. Genetic Testing Registry (GTR) An NCBI provided location where testing providers may submit test information.

Variant Call Format (VCF) #fileformat=VCFv4.0 ##FORMAT=<ID=GT,Number=1,Type=String,Description="Genotype"> ##FORMAT=<ID=GQ,Number=1,Type=Integer,Description="Genotype Quality"> ##FORMAT=<ID=DP,Number=1,Type=Integer,Description="Read Depth"> ##FORMAT=<ID=HQ,Number=2,Type=Integer,Description="Haplotype Quality"> #CHROM POS ID REF ALT QUAL FILTER INFO FORMAT NA00001 NA00002 NA00003 20 14370 rs6054257 G A 29 PASS NS=3;DP=14;AF=0.5;DB;H2 GT:GQ:DP:HQ 0|0:48:1:51,51 1|0:48:8:51,51 1/1:43:5:.,. 17330 . T A 3 q10 NS=3;DP=11;AF=0.017 GT:GQ:DP:HQ 0|0:49:3:58,50 0|1:3:5:65,3 0/0:41:3 Store the sequence variation of an allele, compared to a reference sequence. Can record SNPs, deletions, insertions, complex events of more than one base pair, and large structural variations. Combined with a FASTA file, this format can address polymorphisms. Developed by the 1000 genomes project.

Genome List String (GLstring) Encodes allele ambiguity of typing result, without losing information or adding additional ambiguity. Available as a web service.

Health Level 7 Health Level 7 (HL7) is a frame work for healthcare informatics. Includes messaging standards that help electronic medical records systems communicate.

HLA “Island” Genomic “Mainland”

HLA “Island” Genomic “Mainland” Resources in dealing with highly polymorphic sequence. Resources for dealing with repetitive sequence. Clinical sequencing. Genomic “Mainland”

HLA “Island” Genomic “Mainland” Resources in dealing with highly polymorphic sequence. Resources for dealing with repetitive sequence. Clinical sequencing. Genomic “Mainland” More tools being developed for NGS sequencing. Established solutions for Big Data. Larger resource base.

Established partner in HLA with SSP and SBT Life Technologies Established partner in HLA with SSP and SBT A leading company in the genomic market with the Ion PGM and Proton.

Acknowledgments Life Technologies NMDP CHORI Stanford NIST Scott Conradson and the entire HLA R&D team NMDP Bob Milius, Martin Maier and Joel Schneider CHORI Steven J. Mack and Jill A. Hollenbach Stanford Marcelo Fernandez-Viña and Paul J. Norman NIST Marc Salit