The PRIMED Methods Review WG may be wound up after the subsequent analysis- and methods-focused WGs are sufficiently scoped and established.If you are a patient of one of our physician practices, you now have the ability to manage your care online. Early measures of the success of the WG will be the deployment of PRS software on AnVIL and the production of a review paper on the current state of PRS methods and their applicability - or otherwise - to diverse ancestry populations. Based on the critical topics identified, this WG will propose subsequent analysis- and methods-focused WGs to operate within PRIMED (see initial topic list suggestions in the section below). In addition, WG members and AnVIL developers will assess the availability of state-of-the-art PRS software on AnVIL and describe how methods developers can ensure approaches are feasible at scale using AnVIL. This review will identify key topics for new methods and software development by PRIMED investigators. Mission: The Methods Review WG will review and summarize currently available methods and software for developing and validating PRS, focusing on their use in diverse ancestry populations. Initially, the WG scope will include both technical aspects of data sharing (e.g., the establishment of AnVIL workspaces) and policy aspects (e.g., data use limitations).Ĭo-chairs: Bogdan Pasanuic and John Witte The policies and processes developed by this WG will need to facilitate sharing within consortium workspaces on the AnVIL platform and anticipate subsequent data release to the scientific community, also on AnVIL. ![]() ![]() An initial priority for this WG will be to understand the opportunities and constraints for intra-consortium sharing of the studies and consortia proposed by study sites, especially those governed by groups not affiliated with the PRIMED Consortium. The data to be shared include individual-level genotype and phenotype data (source and harmonized) and summary statistics from the studies and consortia proposed by the study sites for either PRS development or validation. Mission: The Data Sharing WG will collaborate on developing policies and processes to share data within the PRIMED Consortium. As phenotype-specific WGs are established, this WG may also be called upon to refine or update PRIMED standards in collaboration with the phenotype-specific WGs. The Phenotype Harmonization WG will inventory existing data, coordinate and prioritize harmonization efforts, establish and document best practices, and define consortium phenotype data standards. The WG will also define data standards for consortium-generated data (e.g., ontologies for consortium-harmonized variables). These definitions will be chosen to generate a consortium-wide phenotype variable inventory and subsequent harmonization. Mission: The Phenotype Harmonization WG will be responsible for defining the data format and documentation requirements for study site and affiliate member-provided phenotype data. The WG will implement genotype QC and harmonization workflows on the AnVIL or other platforms.Ĭo-chairs: Laura Raffield and Leslie Lange This plan will cover study-specific variant and sample QC cross-study genotype harmonization – including imputation to a common reference panel and transformation to a common genome build, allele representation, and data format and cross-study QC to evaluate harmonization. This WG will address the harmonization of both individual-level genotype data and genomic summary results.* An initial priority for this WG will be to inventory existing data and formulate a quality control (QC) and harmonization plan. Mission: The Genotype Harmonization Working Group (WG) will ensure the availability of high-quality genotype datasets harmonized across all PRIMED Consortium studies. ![]() Ken Rice*, Sarah Nelson, Matt Conomos, Ben Heavner ![]() PRS Center for Admixed Populations and Health Equity (CAPE) Josep Mercader*, Maggie Ng, Alisa Manningĭevelopment of Polygenic Risk Scores for Diabetes and Complications Across the Life-Span in Populations of Diverse Ancestryīogdan Pasanuic*, Eimear Kenny, Leslie Lange Polygenic Risk Scores and Health Disparities: The Role of Blood Cells Immune Response and Evolutionary Adaptation Polygenic Risk of Disease in Populations of Diverse Ancestry Leveraging Diversity in Cancer Epidemiology Cohorts and Novel Methods to Improve Polygenic Risk ScoresĮnabling Improved Applicability and Transferability of Polygenic Scores Across Diverse Populations: A Focus on South Asians Polygenic Risk Score (PRS) Methods and Analysis for Populations of Diverse Ancestry - Study Sites Sally Adebamowo*, Michele Ramsay, Bamidele Tayo
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