Here are a few key discussion points I took away from the conference:
- Genomic or bioinformatic tools used to analyze next-generation sequencing data need to be reproducible, accessible, fast, interactive and web-based. James Taylor from Galaxy advocated for making bioinformatics more reproducible and accessible and even gave an example of in a review only 7 out of 50 papers using BWA provided all the parameters necessary to be able to reproduce their research. Gabor Marth argued bioinformatic tools shouldn't be useable by only informaticians, but also should be useable by biologists.
- Bioinformaticians are re-inventing the wheel. I found two recent papers giving a review of batch annotation tools for variants obtained using next-gernation sequencing (Sifrim et al. 2012; Lyon and Wang 2012) with a list of over 19 tools published just since 2010! At the conference, several of the speakers noted in their talks, "As bioinformaticians we apparently like to keep reinventing the wheel". I would agree with this statement. In addition to genomic tools needing to be reproducible, accessible, fast, interactive and web-based, I would argue we need to create a standardized tool or format for annotating variants.
- With mutations, context matters. Why do some of the "right mutations" not respond to treatment? Josh Stuart advocated for using pathway-based analyses to assess the impact of mutations. Should focus on recurrent, rare variants (most likely to be impactful), but also need to make sure the background mutation rate is correct and determine if mutations are in key domains such as DNA binding or conserved domains. Daniel MacArthur said we need to analyze variants in the context of tens of thousands of genomes because the human genomic landscape is dominated by ultra-rare variation and we need to require consistent variant calls across studies. He also gave a set of recommendations on establishing causality from the NHGRI (see picture below). Lynda Chin argued even if we know the mutation changes the function of the protein, we don't necessarily know the biological consequence. Therefore she argues we need to use a model systems approach to characterize and interpret a complete catalogue of driver mutations with functional validation.
- The idea of using whole exome sequencing as a diagnostic test in clinic has arrived (especially for rare genetic disorders), but we are just now starting to deal with all the challenges that come along with it. Sharon Plon discussed her first year experience with clinical whole exome sequencing and said almost 25% of sequenced patients have "medically actionable" findings (mostly cardiac, but some cancer). Elizabeth Worthey said we need to be very careful because she explained "medically actionable" doesn't always mean "can be treated". With secondary variants and findings in clinic, Leslie Biesecker argued context matters. In his experience, the response of the patient varies depending on prior family history: with previous diagnosis - mundane response, with prior family history - mild surprise, without family history - dazed and confused. Amy McGuire gave a beautiful talk from the legal perspective on the reasons to disclose or not disclose incidental findings and included survey results from actual GWAS researchers. In terms of drug discovery, Stuart Schreiber gave many examples of relating the genomic alterations in cancer to the small-molecule sensitivity.
Finally, I thought the talk by Richard Gibbs deserved it's own paragraph. His talk focused on who should we be sequencing when it comes to human genetic diseases. Though next-generation sequencing technology has come a long way, it's still not perfect. Performing whole exome sequencing as a service can be effectively done by experts, but this is inefficient and not scalable. Automating the process of interpretation often ends with dumb results. Sequencing healthy individuals should be a low priority especially when not tying phenotypes to the control individuals (crazy!). Sequencing individuals with complex diseases is still tricky because of the debate regarding CDCV v. CDRV hypothesis. He argued that if complex diseases are caused by rare variants, then we should focus within families and not broader populations. Sequencing individuals with mendelian disease should be high on the priority list because there is a huge value in obtaining a molecular diagnosis even without a treatment. Finally recreational sequencing is low on the priority list. He has even coined the term 'narcciss-ome'! Overall, he predicts sequencing will become standard of care and soon all the excitement will be passé.
Final thoughts: The conference was filled with fantastic talks given by world-renowned speakers. The level of genetic complexity of diseases never ceases to amaze me, but at the same time seeing such great research being produced to answer some tough genetic questions is always exciting. I learned a great deal and would highly recommend Beyond the Genome to future participants!
Dear Stephanie,
ReplyDeleteThanks a lot for your fantastic blog!