2010 EFI Abstract
Toward a Community Standard for Immunogenetics Data Reporting and Analysis
Jill A. Hollenbach1, Henry Erlich2, Michael Feolo3, Marcelo Fernandez-Vina4, Pierre-Antoine Gourraud5, Wolfgang Helmberg6, Uma Kanga7, Pawinee Kupatawintu8, Alex Lancaster9, Martin Maiers10, Hazael Maldonado-Torres11, Steven G.E. Marsh11, Diogo Meyers12, Derek Middleton13, CarlHeinz R. Müller14, Oytip Nathalang8, Myoung Hee Park15, Richard M. Single16, Brian Tait17, Glenys Thomson18, Ana Maria Valdes19, Mike Varney17, Steven J. Mack1
1Children's Hospital Oakland Research Institute, Oakland, United States of America
In genomics research a consensus is emerging regarding the need for community data-reporting and analysis standards in genetic disease association studies. The recent STREGA (Strengthening the Reporting of Genetic Association studies) statement is an important advance in these efforts, defining specific areas in which adoption of community standards can improve the consistent interpretation of genetic studies, particularly for genome-wide association studies. While many data-reporting issues described in STREGA pertain to immunogenomic studies, the high level of polymorphism associated with these data requires specific, and additional, standards and recommendations. The wide-spread use of high-throughput genotyping methods, which generate data at differing levels of resolution, and the ongoing identification of additional allelic diversity require consistent approaches to managing and analyzing immunogenomic data that will permit synthesis across datasets generated at different times and using different methods. The Immunogenomic Data Analysis Working Group is comprised of investigators from five continents whose collective experiences make clear the need for community-wide immunogenomic data reporting and analysis standards. We propose that community data-management standards are needed to promote transparency in the recording and dissemination of HLA and KIR genotype data and associated ambiguities, and for maintaining the long-term utility of genotype data. In addition, analytical standards for the treatment of rare alleles, haplotype estimation, and donor-recipient matching algorithms would greatly benefit the immunogenomics community. A STREGA-like set of standards, specifically tailored to immunogenomic data, will facilitate donor-recipient matching, the use of combined controls, pooled data, cross-population analyses, replication studies and meta-analyses with greater power and efficiency, and increase the utility of these important data resources.