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Table 3 Results of simulation study with linear model

From: BICOSS: Bayesian iterative conditional stochastic search for GWAS

Setting

Measure

Method

SMA-exact

BICOSS

GWASinlps

Linear model

Recall

0.38

0.61

0.66

 

FDR

0.62

0.38

0.62

 

FPR \(\times 10 ^{5}\)

12.00

6.95

20.34

 

F1

0.37

0.60

0.47

 

Time (s)

6

55

169

  1. Regression coefficients of causal SNPs \({\varvec{\beta }}= (0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4,0.4)^\top\)
  2. Average Performance of each method over 100 datasets for each setting
  3. Recall True Positive Rate, FDR False Discovery Rate, FPR False Positive Rate, F1 F1 score