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© 2014 Personalis, Inc. All rights reserved.
Pioneering Genome-Guided Medicine
Deanna M. Church
Senior Directory of Genomics and Content
Transitioning to GRCh38
Personalis, Inc.2
Who we are
Inherited
Disease
Diagnostics
Cancer
Services
ACE Platform
Research
Services
Personalis, Inc.3
Reference assembly influence
Gene1 Gene2
Gene1
Sample
Ref
Assembly
Personalis, Inc.4
Excitement about GRCh38
GGAACGCAG
GGAACACAG
DPYD
R->C
Alt loci
Model Centromere Sequences
Miga et al., 2014
Personalis, Inc.5
CCL3: region: GRCh37
NC_000017.10 (chr17): 34,442,621-35,005,379
Personalis, Inc.6
CCL5-TBC1D3 region: GRCh38
NC_000017.11 (chr17): 36,032,574-36,269,924
NT_187661.1
100 Kb deletion on chromosome
Steinberg et al., 2014 http://dx.doi.org/10.1101/006841
7
Alternate Loci and Genes
3.6 Mb of novel sequence
153 genes not on primary assembly
Unique sequence in alternate loci
Total: 3.6 Mb; 153 genes only on alts
Personalis, Inc.8
Alt Loci and Genes
25% Medically Interpretable Genes (MIG)
Primary Assembly
Alt Locus
6.4%
6.2%0.18%
Personalis, Inc.9
Alt Loci and Genes
NT_167246.2: MHC alternate locus
No SNP annotationSparse SNP
annotation
Personalis, Inc.10
Analysis challenges
Primary Assembly
Paralogous duplication
Allelic duplication
Alt Locus
MapQ
https://github.com/GenomeRef/SoftwareDevTracking
Personalis, Inc.11
Analysis challenges: variant representation
Primary Assembly
Alt Locus
G>C
1/1 Only valid if homozygous for Alt
1/. Correct if heterozygous for Alt
Personalis, Inc.12
Waiting for graph representations?
Credit: UC Santa Cruz Genomics Institute
Personalis, Inc.13
Analysis challenges
chr19 vs 19
GenBank: CM00681.2
RefSeq: NC_000019.10
Personalis, Inc.14
Analysis challenges
chr19_KI270938v1_alt
CHR_HSCHR19KIR_G248_BA2_HAP_CTG3_1
GenBank: KI270886.1
RefSeq: NT_187640.1
Personalis, Inc.15
Analysis challenges MICB
Reporting formats (GFF, VCF, etc) don’t
manage multiple locations easily
Personalis, Inc.16
NW_003871068.1
NC_000006.12 BestRefSeq gene 31494881 31511124 . + . ID=gene13336;Name=MICB;Dbxref=GeneID:4277
NT_167244.2 BestRefSeq gene 2827449 2843674 . + . ID=gene42005;Name=MICB;Dbxref=GeneID:4277
NT_113891.3 BestRefSeq gene 2972222 2988464 . + . ID=gene43669;Name=MICB;Dbxref=GeneID:4277
NT_167245.2 BestRefSeq gene 2742492 2758910 . + . ID=gene44377;Name=MICB;Dbxref=GeneID:4277
NT_167246.2 BestRefSeq gene 2810648 2816200 . + . ID=gene44827;Name=MICB;Dbxref=GeneID:4277
NT_167247.2 BestRefSeq gene 2836836 2853071 . + . ID=gene45127;Name=MICB;Dbxref=GeneID:4277
ID=gene13336;Name=MICB;Dbxref=GeneID:4277
ID=gene42005;Name=MICB;Dbxref=GeneID:4277
ID=gene43669;Name=MICB;Dbxref=GeneID:4277
ID=gene44377;Name=MICB;Dbxref=GeneID:4277
ID=gene44827;Name=MICB;Dbxref=GeneID:4277
ID=gene45127;Name=MICB;Dbxref=GeneID:4277
Personalis, Inc.17
Analysis challenges
• Need aligners that can distinguish allelic and
paralogous duplication
• Need variant callers/modules than can correctly
assign genotypes in complex regions
• Need to extend file formats to accommodate new
assembly model

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Transitioning to gr_ch38

Editor's Notes

  1. Missing and misassembled sequence in the reference assembly can have dire consequences to genome interpretation. In this example, Gene2 is missing from the reference, but present in the sample we are analyzying. Regardless of whether gene2 is missing because of an assembly error, or because it is polymorphic in the population the outcome can be the same. In the best case scenario, reads from gene2 don’t align to the reference and we just can’t analyze gene2. However, if gene2 is related to gene1, we can get off targets alignments that can confound analysis of Gene1 as well, either leading to under calling in the region, or possibly leading to inappropriately calling paralogous sequence variants as allelic sequence variants. If we take sequences we know to be missing in GRCh37, simulate reads and then align these reads to GRCh37, we see that 75% of these find an off target alignment, regardless of the alignment method used. This is why Heng Li created decoy sequences for the 1000 genomes project- in an effort to reduce off-target alignments. However, we still lack the ability to analyze gene2 in this scenario. This underscores the importance of representing all common human sequences in the reference assembly.
  2. Mutations in DPYD result in dihydropyrimidine dehydrogenase deficiency, an error in pyrimidine metabolism associated with thymine-uraciluria and an increased risk of toxicity in cancer patients receiving 5-flourouracil. Replace this with protein coding info and stats? And Valerie’s poster
  3. The CCL3 region on chromosome 17 allows us to explore two major updates seen in GRCh38, and hopefully will underscore the importance of representing missing paralogs in the reference. This region is known to be copy number variant, with individuals having 0-4 copies of a 90Kb repeat unit. In GRCh37, the region was assembled from several sources that contain different structural variants. This led to the creation of a false gap, and a genomic representation that does not likely exist in anyone on the planet. Being able to correctly represent the genomic architecture of this regions is important as there is some, albeit conflicting evidence, of the correlation of the number of copies of CCL3L1 with HIV infection and progression to AIDs.
  4. To better represent this region, the GRC made a new clone tiling path in this region from a single haplotype resource derived from a hyaditiform mole. An additional allele, representing a 100 Kb insertion was also generated and placed in the assembly as an alternate locus. The reference assembly now has two correct representations of this region – though we may need more.
  5. For this reason, many people have just ignored these sequences, but doing so in GRCh38 means losing 3.6 Mb of sequence unique to the alternate loci- sequence containing 153 genes. This graph shows the distribution of the amount of unique sequence per alternate locus- so while it is clear they do not all contribute equal amounts of novel sequence, in aggregate the amount is significant. The GRC recently held a workshop to encourage development of new tools that can handle the full assembly, and Heng Li has already distributed a version of BWA-MEM that is alt-locus aware, we need to do considerable testing and additional development to make sure we are using these sequences correctly. We also need to assess the ramifications of this new structure on other parts of the tool chain.