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Table S1 Dominant genetic model results for unmatched study design.

Table S2 Additive genetic model results for unmatched study design.

Table S3 Recessive genetic model results for unmatched study design.

Table S4 Sensitivity analysis results for the bias correction approach for unmatched study design (i.e., ~OR). Dominant genetic model was assumed and Δ = 1%.

Table S5 Sensitivity analysis results for the bias correction approach for unmatched study design (i.e., ~OR). Additive genetic model was assumed and Δ = 1%.

Table S6 Sensitivity analysis results for the bias correction approach for unmatched study design (i.e., ~OR). Recessive genetic model was assumed and Δ = 1%.

Table S7 Sensitivity analysis results for the bias correction approach for unmatched study design (i.e., ~OR). Dominant genetic model was assumed and Δ = 10% or 20% of the true prevalence values.

Table S8 Sensitivity analysis results for the bias correction approach for unmatched study design (i.e., ~OR). Additive genetic model was assumed and Δ = 10% or 20% of the true prevalence values.

Table S9 Sensitivity analysis results for the bias correction approach for unmatched study design (i.e., ~OR). Recessive genetic model was assumed and Δ = 10% or 20% of the true prevalence values.

Table S10 Sensitivity analysis results for the bias correction approach for matched study design (i.e., ~ORm). Dominant genetic model was assumed and Δ = 10% or 20% of the true prevalence values.

Table S11 Sensitivity analysis results for the bias correction approach for matched study design (i.e., ~ORm). Additive genetic model was assumed and Δ = 10% or 20% of the true prevalence values.

Table S12 Sensitivity analysis results for the bias correction approach for matched study design (i.e., ~ORm). Recessive genetic model was assumed and Δ = 10% or 20% of the true prevalence values.

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AHG_725_sm_suppmat1.pdf61KSupporting info item
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