.linear not captured in run_gwas() for linear phenotypes

[dvitale199]

Describe the bug run_gwas fails to run the lambda calculation if it is not case/control

Expected behavior

1. automatically detect type of phenotype OR add args for "linear"/"logistic"
2. .linear file should be captured and lambdas calculated for that. lambda1000 should not be calculated due to no cases/controls

something like this:

if os.path.isfile(f'{self.out_path}.PHENO1.glm.linear'):

            # calculate inflation
            gwas_df = pd.read_csv(f'{self.out_path}.PHENO1.glm.linear', sep='\s+', dtype={'#CHROM': str})

            # add pruning step here (pre lambdas)
            gwas_df_add = gwas_df.loc[gwas_df.TEST=='ADD']

            # calculate inflation
            lambda_dict = self.calculate_inflation(gwas_df_add.P, normalize=False)

metrics_dict = {
                'lambda': lambda_dict['metrics']['inflation'],
                'lambda1000': np.nan,
                'cases': np.nan,
                'controls': np.nan
                }

Screenshots

Additional context pipeline should be updated accordingly to account for new arguments if necessary