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Showing content from https://pubmed.ncbi.nlm.nih.gov/34698778/ below:

Strengthening the Reporting of Observational Studies in Epidemiology Using Mendelian Randomization: The STROBE-MR Statement

Review

. 2021 Oct 26;326(16):1614-1621. doi: 10.1001/jama.2021.18236. Strengthening the Reporting of Observational Studies in Epidemiology Using Mendelian Randomization: The STROBE-MR Statement Rebecca C Richmond^{2 3}, Benjamin A R Woolf^{2 4}, James Yarmolinsky^{2 3}, Neil M Davies^{2 3 5}, Sonja A Swanson⁶, Tyler J VanderWeele⁷, Julian P T Higgins^{3 8}, Nicholas J Timpson^{2 3}, Niki Dimou⁹, Claudia Langenberg^{10 11}, Robert M Golub^{12 13}, Elizabeth W Loder^{14 15 16}, Valentina Gallo^{17 18 19}, Anne Tybjaerg-Hansen²⁰, George Davey Smith^{2 3 8}, Matthias Egger^{1 3 21}, J Brent Richards^{22 23}

Affiliations

¹ Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
² Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.
³ Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
⁴ Department of Psychological Science, University of Bristol, Bristol, United Kingdom.
⁵ K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Norway.
⁶ Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands.
⁷ Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
⁸ NIHR Bristol Biomedical Research Centre, Bristol, United Kingdom.
⁹ Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.
¹⁰ MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.
¹¹ Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Berlin, Germany.
¹² JAMA , Chicago, Illinois.
¹³ Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
¹⁴ Department of Neurology, Brigham and Women's Hospital, Boston, Massachusetts.
¹⁵ Harvard Medical School, Boston, Massachusetts.
¹⁶ BMJ , London, United Kingdom.
¹⁷ Campus Fryslân, University of Groningen, Leeuwarden, the Netherlands.
¹⁸ Institute of Population Health Sciences, Queen Mary, University of London, London, United Kingdom.
¹⁹ Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, United Kingdom.
²⁰ Section for Molecular Genetics, Department of Clinical Biochemistry, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
²¹ Centre for Infectious Disease Epidemiology and Research, University of Cape Town, Cape Town, South Africa.
²² Departments of Medicine, Human Genetics, Epidemiology, & Biostatistics, Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, Quebec, Canada.
²³ Department of Twin Research and Genetic Epidemiology, King's College London, University of London, London, United Kingdom.

PMID: 34698778
DOI: 10.1001/jama.2021.18236

Item in Clipboard

Review

Strengthening the Reporting of Observational Studies in Epidemiology Using Mendelian Randomization: The STROBE-MR Statement

Veronika W Skrivankova et al. JAMA. 2021.

. 2021 Oct 26;326(16):1614-1621. doi: 10.1001/jama.2021.18236. Authors Veronika W Skrivankova¹, Rebecca C Richmond^{2 3}, Benjamin A R Woolf^{2 4}, James Yarmolinsky^{2 3}, Neil M Davies^{2 3 5}, Sonja A Swanson⁶, Tyler J VanderWeele⁷, Julian P T Higgins^{3 8}, Nicholas J Timpson^{2 3}, Niki Dimou⁹, Claudia Langenberg^{10 11}, Robert M Golub^{12 13}, Elizabeth W Loder^{14 15 16}, Valentina Gallo^{17 18 19}, Anne Tybjaerg-Hansen²⁰, George Davey Smith^{2 3 8}, Matthias Egger^{1 3 21}, J Brent Richards^{22 23} Affiliations

¹ Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
² Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom.
³ Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
⁴ Department of Psychological Science, University of Bristol, Bristol, United Kingdom.
⁵ K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Norway.
⁶ Department of Epidemiology, Erasmus MC, Rotterdam, the Netherlands.
⁷ Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
⁸ NIHR Bristol Biomedical Research Centre, Bristol, United Kingdom.
⁹ Nutrition and Metabolism Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.
¹⁰ MRC Epidemiology Unit, University of Cambridge, Cambridge, United Kingdom.
¹¹ Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Berlin, Germany.
¹² JAMA , Chicago, Illinois.
¹³ Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
¹⁴ Department of Neurology, Brigham and Women's Hospital, Boston, Massachusetts.
¹⁵ Harvard Medical School, Boston, Massachusetts.
¹⁶ BMJ , London, United Kingdom.
¹⁷ Campus Fryslân, University of Groningen, Leeuwarden, the Netherlands.
¹⁸ Institute of Population Health Sciences, Queen Mary, University of London, London, United Kingdom.
¹⁹ Department of Medical Statistics, London School of Hygiene and Tropical Medicine, London, United Kingdom.
²⁰ Section for Molecular Genetics, Department of Clinical Biochemistry, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
²¹ Centre for Infectious Disease Epidemiology and Research, University of Cape Town, Cape Town, South Africa.
²² Departments of Medicine, Human Genetics, Epidemiology, & Biostatistics, Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, Quebec, Canada.
²³ Department of Twin Research and Genetic Epidemiology, King's College London, University of London, London, United Kingdom.

PMID: 34698778
DOI: 10.1001/jama.2021.18236

Item in Clipboard

Abstract

Importance: Mendelian randomization (MR) studies use genetic variation associated with modifiable exposures to assess their possible causal relationship with outcomes and aim to reduce potential bias from confounding and reverse causation.

Objective: To develop the STROBE-MR Statement as a stand-alone extension to the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) guideline for the reporting of MR studies.

Design, setting, and participants: The development of the STROBE-MR Statement followed the Enhancing the Quality and Transparency of Health Research (EQUATOR) framework guidance and used the STROBE Statement as a starting point to draft a checklist tailored to MR studies. The project was initiated in 2018 by reviewing the literature on the reporting of instrumental variable and MR studies. A group of 17 experts, including MR methodologists, MR study design users, developers of previous reporting guidelines, and journal editors, participated in a workshop in May 2019 to define the scope of the Statement and draft the checklist. The draft checklist was published as a preprint in July 2019 and discussed on the preprint platform, in social media, and at the 4th Mendelian Randomization Conference. The checklist was then revised based on comments, further refined through 2020, and finalized in July 2021.

Findings: The STROBE-MR checklist is organized into 6 sections (Title and Abstract, Introduction, Methods, Results, Discussion, and Other Information) and includes 20 main items and 30 subitems. It covers both 1-sample and 2-sample MR studies that assess 1 or multiple exposures and outcomes, and addresses MR studies that follow a genome-wide association study and are reported in the same article. The checklist asks authors to justify why MR is a helpful method to address the study question and state prespecified causal hypotheses. The measurement, quality, and selection of genetic variants must be described and attempts to assess validity of MR-specific assumptions should be well reported. An item on data sharing includes reporting when the data and statistical code required to replicate the analyses can be accessed.

Conclusions and relevance: STROBE-MR provides guidelines for reporting MR studies. Improved reporting of these studies could facilitate their evaluation by editors, peer reviewers, researchers, clinicians, and other readers, and enhance the interpretation of their results.

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