MR-DoC2: Bidirectional Causal Modeling with Instrumental Variables and Data from Relatives.
Behav Genet
; 53(1): 63-73, 2023 02.
Article
in En
| MEDLINE
| ID: mdl-36322200
ABSTRACT
Establishing causality is an essential step towards developing interventions for psychiatric disorders, substance use and many other conditions. While randomized controlled trials (RCTs) are considered the gold standard for causal inference, they are unethical in many scenarios. Mendelian randomization (MR) can be used in such cases, but importantly both RCTs and MR assume unidirectional causality. In this paper, we developed a new model, MRDoC2, that can be used to identify bidirectional causation in the presence of confounding due to both familial and non-familial sources. Our model extends the MRDoC model (Minica et al. in Behav Genet 48337-349, https//doi.org/10.1007/s10519-018-9904-4 , 2018), by simultaneously including risk scores for each trait. Furthermore, the power to detect causal effects in MRDoC2 does not require the phenotypes to have different additive genetic or shared environmental sources of variance, as is the case in the direction of causation twin model (Heath et al. in Behav Genet 2329-50, https//doi.org/10.1007/BF01067552 , 1993).
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Mental Disorders
Type of study:
Clinical_trials
/
Prognostic_studies
Limits:
Humans
Language:
En
Journal:
Behav Genet
Year:
2023
Type:
Article
Affiliation country:
United States