دورية أكاديمية
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A Note on Modelling Bidirectional Feedback Loops in Mendelian Randomization Studies.

التفاصيل البيبلوغرافية
العنوان: A Note on Modelling Bidirectional Feedback Loops in Mendelian Randomization Studies.
المؤلفون: Hwang LD; Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia., Evans DM; Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia. d.evans1@uq.edu.au.; The Frazer Institute, The University of Queensland, Woolloongabba, QLD, 4102, Australia. d.evans1@uq.edu.au.; MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK. d.evans1@uq.edu.au.
المصدر: Behavior genetics [Behav Genet] 2024 Jul; Vol. 54 (4), pp. 367-373. Date of Electronic Publication: 2024 May 31.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Kluwer Academic/Plenum Publishers Country of Publication: United States NLM ID: 0251711 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-3297 (Electronic) Linking ISSN: 00018244 NLM ISO Abbreviation: Behav Genet Subsets: MEDLINE
أسماء مطبوعة: Publication: 1999- : New York : Kluwer Academic/Plenum Publishers
Original Publication: Westport, Conn., Greenwood Periodicals.
مواضيع طبية MeSH: Mendelian Randomization Analysis*/methods, Humans ; Models, Genetic ; Models, Statistical ; Causality ; Feedback
مستخلص: Structural equation models (SEMs) involving feedback loops may offer advantages over standard instrumental variables estimators in terms of modelling causal effects in the presence of bidirectional relationships. In the following note, we show that in the case of a single "exposure" and "outcome" variable, modelling relationships using a SEM with a simple bidirectional linear feedback loop offers no advantage over traditional instrumental variables estimators in terms of consistency (i.e. both approaches yield consistent estimates of the causal effect, provided that causal estimates are obtained in both directions). In the case of finite samples, traditional IV estimators and SEM exhibited similar power across many of the conditions we examined, although which method performed best depended on the residual correlation between variables and the strength of the instruments. In particular, the power of SEM was insensitive to the residual correlation between variables, whereas the power of the Wald estimator/2SLS improved (deteriorated) relative to SEM as the magnitude of the residual correlation increased (decreased) assuming a positive causal effect of the exposure on the outcome. The power of SEM improved relative to the Wald estimator/2SLS as the instruments explained more residual variance in the "outcome" variable.
(© 2024. The Author(s).)
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معلومات مُعتمدة: DE240100014 Australian Research Council; 2017942 National Health and Medical Research Council
فهرسة مساهمة: Keywords: Bidirectional Mendelian randomization; Causation; Feedback loops; Mendelian randomization; Reciprocal causation; Structural equation modelling
تواريخ الأحداث: Date Created: 20240531 Date Completed: 20240624 Latest Revision: 20240627
رمز التحديث: 20240627
مُعرف محوري في PubMed: PMC11196367
DOI: 10.1007/s10519-024-10183-0
PMID: 38822217
قاعدة البيانات: MEDLINE
الوصف
تدمد:1573-3297
DOI:10.1007/s10519-024-10183-0