Structural variation accounts for much of the variation among human genomes. Structural variants of all types are known to cause Mendelian disease and contribute to complex disease. Learn how long-read sequencing is enabling detection of the full spectrum of structural variants to advance the study of human disease, evolution and genetic diversity.
Dan Geraghty explains that while there have been decades’ worth of studies associating the genetics of the major histocompatibility complex (MHC), and the highly polymorphic HLA class 1 and 2 genes, we still haven’t found the key mutations for a variety of different autoimmune diseases such as type 1 diabetes, rheumatoid arthritis, multiple sclerosis, and others. Enormous amounts of linkage disequilibrium in these regions are one factor, as is getting information in phase, so larger stretches of sequence are needed. Recently Geraghty has begun using SMRT Technology with hopes of drilling down to the causal genetics.
Marc Salit is the leader of the Genome Scale Measurement Group at the National Institute of Standards and Technology or NIST. In this Mendelspod podcast, he explains how NIST played a pivotal, foundational role in enabling the ‘Century of Physics.’ Now Marc and NIST are looking for the right set of standards to enable the already-upon-us “Century of Biology.” The human reference genome is an example of a standard that Marc and his team are developing. Currently they are piloting what they call “Genome in a Bottle,” a physical reference standard to which all other human genomes can be measured.…
Listen to Mendelspod’s podcast with PacBio CEO, Mike Hunkapiller, as he recounts his memories from the first human draft genome project 15 years ago.
Valerie Schneider of the National Center for Biotechnology Information discuss how the Genome Reference Consortium (GRC) is bringing more ethnic diversity to the latest human reference assembly (GRCh38) by adding patches and alternate loci scaffolds. Scientists working with population graphs are among the early adopters of these new alternate loci scaffolds. She also discusses work underway at the McDonnell Genome Institute at Washington University to generate a set of high-quality, de novo whole genomes from a wide variety of populations. The new ethnic genomes “are also intended to stand on their own as complements to the reference so users can…
Euan Ashley from Stanford University started with the premise that while current efforts in the field of genomics medicine address 30% of patient cases, there’s a need for new approaches to make sense of the remaining 70%. Toward that end, he said that accurately calling structural variants is a major need. In one translational research example, Ashley said that SMRT Sequencing with the Sequel System allowed his team to identify six potentially causative genes in an individual with complex and varied symptoms; one gene was associated with Carney syndrome, which was a match for the person’s physiology and was later…
Melissa Laird Smith discussed how the Icahn School of Medicine at Mount Sinai uses long-read sequencing for translational research. She gave several examples of targeted sequencing projects run on the Sequel System including CYP2D6, phased mutations of GLA in Fabry’s disease, structural variation breakpoint validation in glioblastoma, and full-length immune profiling of TCR sequences.
Jonas Korlach spoke about recent SMRT Sequencing updates, such as latest Sequel System chemistry release (1.2.1) and updates to the Integrative Genomics Viewer that’s now update optimized for PacBio data. He presented the recent data release of structural variation detected in the NA12878 genome, including many more insertions and deletions than short-read-based technologies were able to find.
At AGBT 2017, Mike Schatz from Johns Hopkins University and Cold Spring Harbor Laboratory presented data from sequencing, assembling, and analyzing personalized, phased diploid genomes with either Illumina, 10x Genomics, and PacBio SMRT Sequencing. Compared to the short-read-based methods, PacBio data assembled in large, complete contigs and contained the broadest range of structural variants with the best resolution. Plus: unexpected translocation findings with SMRT Sequencing, validated in follow-up studies.
In this webinar we present Single Molecule, Real-Time (SMRT) Sequencing and the Iso-Seq method, which allow you to generate full-length cDNA sequences — no assembly required — to characterize transcript isoforms within targeted genes or across an entire transcriptome. The presenters share how the Iso-Seq method: (1) Provides high quality, full-length transcript sequences of up to 15 kb; (2) Allows for one-day library prep on a single SMRT Cell 8M to comprehensively characterize a whole transcriptome; (3) Facilitates discovery of alternative splicing events, fusion gene detection, and allelic specific isoform detection; and (4) Enables discovery of potential cancer-specific isoforms in…
In this ASHG 2020 PacBio Workshop Emily Farrow of Children’s Mercy Kansas City, shares how the incorporation of long-read sequencing into the Genomic Answers for Kids research study is increasing diagnostic yields through the identification of novel genetic variation. Emily highlights several cases in which PacBio HiFi sequencing was able to provide insights where short-read sequencing alone was inconclusive, due to limitations stemming from repetitive regions and large structural variants.
Target enrichment capture methods allow scientists to rapidly interrogate important genomic regions of interest for variant discovery, including SNPs, gene isoforms, and structural variation. Custom targeted sequencing panels are important for characterizing heterogeneous, complex diseases and uncovering the genetic basis of inherited traits with more uniform coverage when compared to PCR-based strategies. With the increasing availability of high-quality reference genomes, customized gene panels are readily designed with high specificity to capture genomic regions of interest, thus enabling scientists to expand their research scope from a single individual to larger cohort studies or population-wide investigations. Coupled with PacBio® long-read sequencing, these…
Over the past decade, RNA sequencing (RNA-seq) has become an indispensable tool for transcriptome-wide analysis of differential gene expression and differential splicing of mRNAs. However, as next-generation sequencing technologies have developed, so too has RNA-seq. Now, RNA-seq methods are available for studying many different aspects of RNA biology, including single-cell gene expression, translation (the translatome) and RNA structure (the structurome). Exciting new applications are being explored, such as spatial transcriptomics (spatialomics). Together with new long-read and direct RNA-seq technologies and better computational tools for data analysis, innovations in RNA-seq are contributing to a fuller understanding of RNA biology, from questions…
As they migrated out of Africa and into Europe and Asia, anatomically modern humans interbred with archaic hominins, such as Neanderthals and Denisovans. The result of this genetic introgression on the recipient populations has been of considerable interest, especially in cases of selection for specific archaic genetic variants. Hsieh et al. characterized adaptive structural variants and copy number variants that are likely targets of positive selection in Melanesians. Focusing on population-specific regions of the genome that carry duplicated genes and show an excess of amino acid replacements provides evidence for one of the mechanisms by which genetic novelty can arise…
To date, clinical sequencing has focused on genomic DNA using targeted panels and exome sequencing. Sequencing of a large hypertrophic cardiomyopathy (HCM) cohort revealed that positive identification of a disease-associated variant was returned in only 32% of patients, with an additional 15% receiving inconclusive results. When genome sequencing fails to reveal causative variants, the transcriptome may provide additional diagnostic clarity. A recent study examining patients with genetically undiagnosed muscle disorders found that RNA sequencing, when used as a complement to exome and whole genome sequencing, had an overall diagnosis rate of 35%.