{"id":629,"date":"2022-09-30T14:30:26","date_gmt":"2022-09-30T14:30:26","guid":{"rendered":"https:\/\/terrabioappdev.wpenginepowered.com\/whats-next-for-genomics-plug-into-ga4gh-to-find-out\/"},"modified":"2023-12-27T04:55:44","modified_gmt":"2023-12-27T04:55:44","slug":"whats-next-for-genomics-plug-into-ga4gh-to-find-out","status":"publish","type":"post","link":"https:\/\/terra.bio\/whats-next-for-genomics-plug-into-ga4gh-to-find-out\/","title":{"rendered":"What&#8217;s next for genomics? Plug into GA4GH to find out"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">Sequencing technology keeps getting better, faster, more productive \u2014 but that&#8217;s not the only thing that shapes the big picture of where we&#8217;re headed as a field. If you want to understand where genomics is going, you should pay attention to the <\/span><a href=\"https:\/\/www.ga4gh.org\/\"><span style=\"font-weight: 400;\">Global Alliance for Genomics and Health<\/span><\/a><span style=\"font-weight: 400;\">, or GA4GH.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">GA4GH is an international organization composed largely of contributors from member institutions in healthcare, research, patient advocacy, and information technology, seeking to enable responsible genomic data sharing within a <\/span><a href=\"https:\/\/www.ga4gh.org\/genomic-data-toolkit\/regulatory-ethics-toolkit\/framework-for-responsible-sharing-of-genomic-and-health-related-data\/\"><span style=\"font-weight: 400;\">human rights framework<\/span><\/a><span style=\"font-weight: 400;\">.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The boring way to describe what GA4GH does is to say it <\/span><i><span style=\"font-weight: 400;\">develops<\/span><\/i> <i><span style=\"font-weight: 400;\">standards and policies<\/span><\/i><span style=\"font-weight: 400;\"> \u2014 ranging from technology standards like file formats and application programming interfaces (APIs), which aim to enable interoperability and broad access to data and tools among the global research community, to policy frameworks like patient consent clauses and data privacy policies.\u00a0<\/span><\/p>\n<p><strong>I prefer to think of it this way: GA4GH contributors are effectively building the scaffolding for what genomics will deliver in practice, at scale, over the next decade.\u00a0<\/strong><\/p>\n<p><span style=\"font-weight: 400;\">The GA4GH standard development process involves collaboration with <\/span><i><span style=\"font-weight: 400;\">implementers<\/span><\/i><span style=\"font-weight: 400;\">, <\/span><i><span style=\"font-weight: 400;\">i.e.<\/span><\/i><span style=\"font-weight: 400;\"> groups that apply the GA4GH standards in practice, typically in the context of <\/span><i><span style=\"font-weight: 400;\">driver projects<\/span><\/i><span style=\"font-weight: 400;\"> \u2014 which have the advantage of providing real-life use cases. (As it turns out, you develop better solutions when you&#8217;re actually working on real problems.)<\/span><\/p>\n<p><span style=\"font-weight: 400;\">For technology standards, <\/span><i><span style=\"font-weight: 400;\">implementation<\/span><\/i><span style=\"font-weight: 400;\"> means building software tools and operating services that follow the rules laid out by the relevant standards.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">For example, the CRAM and VCF file formats are widely-used bioinformatics <\/span><i><span style=\"font-weight: 400;\">standards<\/span><\/i><span style=\"font-weight: 400;\"> stewarded by GA4GH that specify how to encode sequencing reads and variant calls, respectively. There is a software library called htsjdk that <\/span><i><span style=\"font-weight: 400;\">implements <\/span><\/i><span style=\"font-weight: 400;\">both of these standards in the Java programming language, meaning that it includes code that is capable of reading and writing files that are encoded according to those standards. Researchers can then use genome analysis tools like GATK and Picard, which include the htsjdk library, to read and write CRAM and VCF files as part of their analysis work. Tadaa. (For fans of C, substitute htslib and samtools in the library\/tool mentions.)<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In addition to these now-classic (if imperfect) workhorse formats, GA4GH has been driving the development of other, newer knowledge representation standards that you may not yet be aware of, but will likely transform the way many of us work. Take the <\/span><a href=\"https:\/\/vrs.ga4gh.org\/en\/stable\/\"><span style=\"font-weight: 400;\">Variation Representation Specification<\/span><\/a><span style=\"font-weight: 400;\"> (VRS, pronounced &#8220;verse&#8221;), which among other things makes it possible to capture the complex information that underlies variant interpretation in computable form, a key feature for solving variant interpretation bottlenecks. Right now, VRS is a fairly niche product, but within a few years I expect we&#8217;ll see it being used across a variety of research and clinical diagnostic platforms.\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><img fetchpriority=\"high\" decoding=\"async\" class=\"alignnone size-large wp-image-1454\" src=\"https:\/\/terra.bio\/wp-content\/uploads\/2023\/12\/vrs_larry-1024x452.png\" alt=\"\" width=\"800\" height=\"353\" \/><\/p>\n<p><i><span style=\"font-weight: 400;\">Computable standards for alleviating variant interpretation bottlenecks. From &#8220;<\/span><\/i><a href=\"https:\/\/assets.swoogo.com\/uploads\/2060901-632db7e77f48b.pdf\"><i><span style=\"font-weight: 400;\">Genomic Knowledge Standards Advancements<\/span><\/i><\/a><i><span style=\"font-weight: 400;\">&#8221; by Larry Babb, presented at the 10th Plenary Meeting of the GA4GH (see <\/span><\/i><a href=\"https:\/\/www.youtube.com\/watch?v=-o82mAjXILk&amp;t=8741s\"><i><span style=\"font-weight: 400;\">Day 1 recording<\/span><\/i><\/a><i><span style=\"font-weight: 400;\">).\u00a0<\/span><\/i><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\"><strong>Pro-tip:<\/strong> you can check out the <\/span><a href=\"https:\/\/github.com\/ga4gh\/vrs-python\"><span style=\"font-weight: 400;\">Python implementation of VRS<\/span><\/a><span style=\"font-weight: 400;\"> in Github, and there&#8217;s even a <\/span><a href=\"https:\/\/app.terra.bio\/#workspaces\/terra-outreach\/VRS-demo-notebooks\"><span style=\"font-weight: 400;\">Terra workspace<\/span><\/a><span style=\"font-weight: 400;\"> hosting Jupyter notebooks that demonstrate how to use it in practice.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Speaking of platforms, another major axis of GA4GH standard development is platform-level interoperability,<\/span><i><span style=\"font-weight: 400;\"> i.e.<\/span><\/i><span style=\"font-weight: 400;\"> infrastructure standards that enable platforms like Terra to talk to each other.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">I&#8217;ve written before about the big picture of <\/span><a href=\"https:\/\/terra.bio\/from-infrastructure-projects-to-connected-communities\/\"><span style=\"font-weight: 400;\">interoperability for open ecosystems<\/span><\/a><span style=\"font-weight: 400;\">, the example of <\/span><a href=\"https:\/\/terra.bio\/how-terra-fits-within-the-anvil-ecosystem\/\"><span style=\"font-weight: 400;\">the AnVIL project<\/span><\/a><span style=\"font-weight: 400;\">, and <\/span><a href=\"https:\/\/terra.bio\/how-drs-data-repository-service-api-helps-manage-the-data\/\"><span style=\"font-weight: 400;\">how Terra uses the DRS standard for data interoperability<\/span><\/a><span style=\"font-weight: 400;\"> specifically. The ultimate goal here is to make it possible for researchers to do things like combining data from separate repositories into powerful federated analyses without having to move any of it around.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Excitingly, that dream is starting to materialize! We are now at the stage where data federation is effectively possible \u2014 for a limited set of datasets and platforms, with some clunkiness involved. As the work continues, you can expect the scope of what&#8217;s possible to include more datasets, with a smoother experience as the handoff between platforms gets ironed out.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">There is a lot more to say about the scope and impact of GA4GH work, but I&#8217;ll have to leave that for another time.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><strong>The bottom line is, if any of this is new to you, now is a great time to start getting caught up.<\/strong> <\/span><\/p>\n<p><span style=\"font-weight: 400;\">The organization held its annual plenary meeting over two days last week, and the full recordings for both <\/span><a href=\"https:\/\/www.youtube.com\/watch?v=-o82mAjXILk\"><span style=\"font-weight: 400;\">Day 1<\/span><\/a><span style=\"font-weight: 400;\"> and <\/span><a href=\"https:\/\/www.youtube.com\/watch?v=fmaB7b_afqw\"><span style=\"font-weight: 400;\">Day 2<\/span><\/a><span style=\"font-weight: 400;\"> are available on YouTube, annotated with timestamps for specific sessions and presentations (see the expanded video descriptions). You can also find links to the slide decks in the agenda.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">As a new member of the organization (I joined the Large-Scale Genomics Work Stream in June), I found the lineup of talks struck a great balance between showcasing progress made so far, outlining upcoming challenges and discussing concrete solutions. I hope you will find these resources useful too \u2014 and <a href=\"https:\/\/www.ga4gh.org\/about-us\/startup-guide\/\">consider joining the effort<\/a>!<\/span><\/p>\n<p>&nbsp;<\/p>\n<hr \/>\n<h4><span style=\"color: #008000;\"><b>Additional resources\u00a0<\/b><\/span><\/h4>\n<p><span style=\"font-weight: 400;\">For a more comprehensive tour of the Global Alliance&#8217;s scope, vision, and outputs, read the &#8220;Perspective&#8221; paper published late last year in Cell Genomics by Heidi Rehm and colleagues:<\/span><\/p>\n<p><span style=\"font-weight: 400;\">GA4GH: International policies and standards for data sharing across genomic research and healthcare (2021) Cell Genomics, Volume 1, Issue 2, <\/span><a href=\"https:\/\/doi.org\/10.1016\/j.xgen.2021.100029\"><span style=\"font-weight: 400;\">https:\/\/doi.org\/10.1016\/j.xgen.2021.100029<\/span><\/a><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>A short primer on what is the Global Alliance for Genomics and Health, why it matters, and links to recordings from the 2022 Plenary Meeting.<\/p>\n","protected":false},"author":4,"featured_media":631,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[31,36,106,37,119],"tags":[],"class_list":["post-629","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ecosystem","category-events","category-genomics","category-medical-and-population-genetics","category-most-recent"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.0 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>What&#039;s next for genomics? 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