Table 1 Summary of the research question, data sources used, as well as key strengths and limitations of each methodological approach applied in the present study
From: Parental inflammatory bowel disease and autism in children
Method | Research question | Data sources | Key strengths | Key limitations |
---|---|---|---|---|
Nationwide registry-based cohort study in Sweden | Are parental diagnoses of IBD associated with autism in the children? | Medical and administrative registers | Large, diverse total population, intergenerational sample; prospective recording of data; low rate of loss to follow up; large availability of confounder data | Unmeasured confounding; exposure misclassification |
Linkage Disequilibrium score regression | Is there a shared genetic background between IBD and autism? | GWAS summary data | Use of GWAS summary data instead of twin data or individual-level data maximizes sample sizes and power; indicates genetic correlation due to linkage disequilibrium or pleiotropy | Cannot assess causality |
PRS analysis in the ALSPAC cohort | Is maternal genetic liability for IBD associated with childhood broad autism phenotype? | GWAS summary data and individual-level genotype and phenotype data | Estimates the underlying genetic liability for IBD, regardless of diagnosis; allows the refinement of the exposure used in the context of an observational study (potentially overcoming exposure misclassification of an observational study); can indicate potentially genetically transmitted versus in-utero effects through the assessment of the maternal versus child’s underlying genetic liability for IBD; large birth cohort; prospectively collected information on the outcome phenotype | Cannot decipher whether the identified associations are causal or instead owing to pleiotropy; polygenic risk scores at lower P-value thresholds might not adequately capture the exposure phenotype; attrition can influence association estimates |
Two-sample MR | Does genetic liability to IBD have a causal effect on autism? | GWAS summary data, exposure proxied by variants robustly associated with the exposure | Using common genetic variants as instruments for IBD allows the assessment of causal effects; allows the assessment of reverse causation; allows the assessment of the influence of pleiotropy | Cannot decipher whether the identified causal effect is of parental origin; can be biased by dynastic effects and assortative mating |