Mirzayi, ChloeRenson, AudreyGenomic Standards ConsortiumMassive Analysis and Quality Control SocietyZohra, FatimaElsafoury, ShaimaaGeistlinger, LudwigKasselman, Lora JEckenrode, Kellyvan de Wijgert, JannekeLoughman, AmyMarques, Francine ZMacIntyre, David AArumugam, ManimozhiyanAzhar, RimshaBeghini, FrancescoBergstrom, KirkBhatt, AmiBisanz, Jordan EBraun, JonathanBravo, Hector CorradaBuck, Gregory ABushman, FredericCasero, DavidClarke, GerardCollado, Maria CarmenCotter, Paul DCryan, John FDemmer, Ryan TDevkota, SuzanneElinav, EranEscobar, Juan SFettweis, JenniferFinn, Robert DFodor, Anthony AForslund, SofiaFranke, AndreFurlanello, CesareGilbert, JackGrice, ElizabethHaibe-Kains, BenjaminHandley, ScottHerd, PamelaHolmes, SusanJacobs, Jonathan PKarstens, LisaKnight, RobKnights, DanKoren, OmryKwon, Douglas SLangille, MorganLindsay, BriannaMcGovern, DermotMcHardy, Alice CMcWeeney, ShannonMueller, Noel TNezi, LuigiOlm, MatthewPalm, NoahPasolli, EdoardoRaes, JeroenRedinbo, Matthew RRühlemann, MalteBalfour Sartor, RSchloss, Patrick DSchriml, LynnSegal, EranShardell, MichelleSharpton, ThomasSmirnova, EkaterinaSokol, HarrySonnenburg, Justin LSrinivasan, SujathaThingholm, Louise BTurnbaugh, Peter JUpadhyay, VaibhavWalls, Ramona LWilmes, PaulYamada, TakujiZeller, GeorgZhang, MingyuZhao, NiZhao, LipingBao, WenjunCulhane, AedinDevanarayan, ViswanathDopazo, JoaquinFan, XiaohuiFischer, MatthiasJones, WendellKusko, RebeccaMason, Christopher EMercer, Tim RSansone, Susanna-AssuntaScherer, AndreasShi, LemingThakkar, ShraddhaTong, WeidaWolfinger, RussHunter, ChristopherSegata, NicolaHuttenhower, CurtisDowd, Jennifer BJones, Heidi EWaldron, Levi2025-01-072025-01-072021-11-17https://hdl.handle.net/10668/25387The particularly interdisciplinary nature of human microbiome research makes the organization and reporting of results spanning epidemiology, biology, bioinformatics, translational medicine and statistics a challenge. Commonly used reporting guidelines for observational or genetic epidemiology studies lack key features specific to microbiome studies. Therefore, a multidisciplinary group of microbiome epidemiology researchers adapted guidelines for observational and genetic studies to culture-independent human microbiome studies, and also developed new reporting elements for laboratory, bioinformatics and statistical analyses tailored to microbiome studies. The resulting tool, called 'Strengthening The Organization and Reporting of Microbiome Studies' (STORMS), is composed of a 17-item checklist organized into six sections that correspond to the typical sections of a scientific publication, presented as an editable table for inclusion in supplementary materials. The STORMS checklist provides guidance for concise and complete reporting of microbiome studies that will facilitate manuscript preparation, peer review, and reader comprehension of publications and comparative analysis of published results.enComputational BiologyDysbiosisHumansMicrobiotaObservational Studies as TopicResearch DesignTranslational Science, Biomedicalresearch article34789871open access10.1038/s41591-021-01552-x1546-170XPMC9105086https://www.nature.com/articles/s41591-021-01552-x.pdfhttps://pmc.ncbi.nlm.nih.gov/articles/PMC9105086/pdf