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Table 6 Logistic regression model of polymorphism of SNPs (true-positive and false-positive) and several related SNP filtering criteria: log ( p /(1- p )) = b0 + b1* X1 + b2* X2 + b3* X3 , where p is the probability of an SNP belonging to a false-positive

From: Genome-wide SNP discovery in walnut with an AGSNP pipeline updated for SNP discovery in allogamous organisms

Term

Estimates of coefficients

Std error

χ 2

Prob > χ2

Intercept

10.3976899 (b0)

0.7025

219.05

<0.0001***

MQS (X1)

−0.3077982 (b1)

0.0197

244.83

<0.0001***

RMD (X2)

0.07896269 (b2)

0.003

699.67

<0.0001***

FVF (X3)

−5.2585503 (b3)

0.3871

184.57

<0.0001***

  1. MQS: SNP mapping quality score; RMD: read mapping depth; FVF: folded variant frequency. *** represents statistical significance at a 0.001 probability level.