Reporting recommendations for evaluations of risk prediction models that include genetic variants

Report sectionItem NoRecommendation
Title and abstract
1(a) Identify the article as a study of risk prediction using genetic factors
(b) Use recommended keywords in the abstract: genetic or genomic, risk, prediction
Introduction
Background and rationale2Explain the scientific background and rationale for the prediction study
Objectives3Specify the study objectives and state the specific model(s) that is/are investigated. State if the study concerns the development of the model(s), a validation effort, or both
Methods
Study design and setting4*Specify the key elements of the study design and describe the setting, locations, and relevant dates, including periods of recruitment, follow-up, and data collection
Participants5*Describe eligibility criteria for participants, and sources and methods of selection of participants
Variables: definition6*Clearly define all participant characteristics, risk factors and outcomes. Clearly define genetic variants using a widely used nomenclature system
Variables: assessment7*(a) Describe sources of data and details of methods of assessment (measurement) for each variable
(b) Give a detailed description of genotyping and other laboratory methods
Variables: coding8(a) Describe how genetic variants were handled in the analyses
(b) Explain how other quantitative variables were handled in the analyses. If applicable, describe which groupings were chosen, and why
Analysis: risk model construction9Specify the procedure and data used for the derivation of the risk model. Specify which candidate variables were initially examined or considered for inclusion in models. Include details of any variable selection procedures and other model building issues. Specify the horizon of risk prediction (eg, 5 year risk)
Analysis: validation10Specify the procedure and data used for the validation of the risk model
Analysis: missing data11Specify how missing data were handled
Analysis: statistical methods12Specify all measures used for the evaluation of the risk model including, but not limited to, measures of model fit and predictive ability
Analysis: other13Describe all subgroups, interactions, and exploratory analyses that were examined
Results
Participants14*Report the numbers of individuals at each stage of the study. Give reasons for non-participation at each stage. Report the number of participants not genotyped and reasons why they were not genotyped
Descriptives: population15*Report demographic and clinical characteristics of the study population, including risk factors used in the risk modelling
Descriptives: model estimates16Report unadjusted associations between the variables in the risk model(s) and the outcome. Report adjusted estimates and their precision from the full risk model(s) for each variable
Risk distributions17*Report distributions of predicted risks and/or risk scores
Assessment18Report measures of model fit and predictive ability, and any other performance measures, if pertinent.
Validation19Report any validation of the risk model(s)
Other analyses20Present results of any subgroup, interaction, or exploratory analyses, whenever pertinent
Discussion
Limitations21Discuss limitations and assumptions of the study, particularly those concerning study design, selection of participants, and measurements and analyses, and discuss their impact on the results of the study.
Interpretation22Give an overall interpretation of results considering objectives, limitations, multiplicity of analyses, results from similar studies, and other relevant evidence
Generalisability23Discuss the generalisability and, if pertinent, the healthcare relevance of the study results
Other
Supplementary information24State whether databases for the analysed data, risk models, and/or protocols are or will become publicly available and if so, how they can be accessed
Funding25Give the source of funding and the role of the funders for the present study. State whether there are any conflicts of interest

* Marked items should be reported for every population in the study.