# Input File Format ## Input Genotype The pipeline requires genotype information to be given in the form of uncompressed VCF or compressed VCF.gz files. If you are working with imputed genotyping data, specify the optional parameter `--r2thres` to filter out poorly imputed variants. ## Input Covariates Covariates for each subject to be passed into the model can be provided via a tab-delimited file (\*.tsv). For both cross-sectional and longitudinal analysis, the pipeline expects covariates to be defined in the following format: _Note:_ the Plink-style columns `#FID` and `PHENO` must be present but can be populated with `0`. ```text #FID IID SEX PHENO study_arm apoe4 levodopa_usage age_at_baseline 0 sid-1 1 0 control 0 0 35 0 sid-2 1 0 control 0 0 40 0 sid-3 0 0 control 1 0 32 . . . 0 sid-98 1 0 PD 1 0 55 0 sid-99 0 0 PD 0 1 66 0 sid-100 1 0 PD 0 0 58 ``` ## Input Phenotype / Outcomes Phenotype and measured outcomes can be passed into the pipeline via a tab-delimited file (\*.tsv) For cross-sectional analysis, the pipeline expects a minimum of 2 columns in the following format ```text IID y sid-1 1 sid-2 0 sid-3 1 . . . sid-98 0 sid-99 0 sid-100 1 ``` For longitudinal analyses, the input phenotype file must contain a column specifying the days passed since the start of the study, as shown here under `study_days`: ```text IID y study_days sid-414 95.2206895626295 0.0 sid-414 102.30085429524436 182.625 sid-414 114.79879923749795 365.25 . . . sid-204 81.12926520637295 730.5 sid-204 104.79350859619713 1095.75 sid-204 91.52620016527872 1461.0 ``` For survival analyses, apart from the time-to-event column (`study_days`), a column must be present specifying whether the event outcome was reached (0/1), as shown here under `surv_y`. ```text IID y study_days surv_y tstart tend sid-1 115.97392441028578 730.5 1 0 730.5 sid-10 86.8996551417189 182.625 1 0 182.625 sid-100 150.4507827126939 2556.75 1 0 2556.75 . . . sid-103 66.2393727266641 365.25 1 0 365.25 sid-104 137.98518827246627 730.5 1 0 730.5 sid-105 102.64954194365411 1826.25 1 0 1826.25 ```