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Table 2 HMM model simulation results. 1000 phenotype 0, 1000 phenotype 1 subjects

From: Automatic block-wise genotype-phenotype association detection based on hidden Markov model

Method

Sensitivity

Specificity

MCC

HMM 0.1

0.9945

0.9950

0.9598 (0.0373)

HMM 0.15

0.9849

0.9981

0.9712 (0.0327)

HMM 0.2

0.9420

0.9977

0.9409 (0.0764)

Bonferroni

0.4679

0.9999

0.6215 (0.2432)

FDR

0.8040

0.9748

0.6877 (0.1875)

SKAT

0.2009

0.9941

0.3676 (0.1458)

SKATO

0.3099

0.9861

0.4610 (0.1715)

burden

0.3023

0.9872

0.4493 (0.1928)

wtest

0.8688

0.9710

0.8163 (0.1850)

  1. Each dataset was generated according to HMM, with the parameters generated as above