| Literature DB >> 34789871 |
Curtis Huttenhower1, Jennifer B Dowd2, Heidi E Jones3, Levi Waldron4, Chloe Mirzayi3, Audrey Renson5, Fatima Zohra3, Shaimaa Elsafoury3, Ludwig Geistlinger3, Lora J Kasselman3, Kelly Eckenrode3, Janneke van de Wijgert6, Amy Loughman7, Francine Z Marques8, David A MacIntyre9, Manimozhiyan Arumugam10, Rimsha Azhar3, Francesco Beghini11, Kirk Bergstrom12, Ami Bhatt13, Jordan E Bisanz14, Jonathan Braun15, Hector Corrada Bravo16, Gregory A Buck17, Frederic Bushman18, David Casero19, Gerard Clarke20, Maria Carmen Collado21, Paul D Cotter22,23,24, John F Cryan23,25, Ryan T Demmer26, Suzanne Devkota19, Eran Elinav27,28, Juan S Escobar29, Jennifer Fettweis17, Robert D Finn30, Anthony A Fodor31, Sofia Forslund32, Andre Franke33, Cesare Furlanello34, Jack Gilbert35, Elizabeth Grice36, Benjamin Haibe-Kains37, Scott Handley38, Pamela Herd39, Susan Holmes40, Jonathan P Jacobs41, Lisa Karstens42, Rob Knight43, Dan Knights44,45, Omry Koren46, Douglas S Kwon47, Morgan Langille48, Brianna Lindsay49, Dermot McGovern19, Alice C McHardy50, Shannon McWeeney51, Noel T Mueller52, Luigi Nezi53, Matthew Olm54, Noah Palm55, Edoardo Pasolli56, Jeroen Raes57, Matthew R Redinbo58, Malte Rühlemann59, R Balfour Sartor60, Patrick D Schloss61, Lynn Schriml62, Eran Segal63, Michelle Shardell62, Thomas Sharpton64, Ekaterina Smirnova65, Harry Sokol66, Justin L Sonnenburg54, Sujatha Srinivasan67, Louise B Thingholm59, Peter J Turnbaugh68, Vaibhav Upadhyay68, Ramona L Walls69, Paul Wilmes70,71, Takuji Yamada72, Georg Zeller73, Mingyu Zhang52, Ni Zhao74, Liping Zhao75, Wenjun Bao76, Aedin Culhane77, Viswanath Devanarayan78, Joaquin Dopazo79, Xiaohui Fan80, Matthias Fischer81,82, Wendell Jones83, Rebecca Kusko84, Christopher E Mason85, Tim R Mercer86, Susanna-Assunta Sansone87, Andreas Scherer88, Leming Shi89, Shraddha Thakkar90, Weida Tong91, Russ Wolfinger92, Christopher Hunter93, Nicola Segata11,53.
Abstract
The 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.Entities:
Mesh:
Year: 2021 PMID: 34789871 PMCID: PMC9105086 DOI: 10.1038/s41591-021-01552-x
Source DB: PubMed Journal: Nat Med ISSN: 1078-8956 Impact factor: 87.241