Skip to main content

Table 2 Posterior mean number of SNPs allocated to each component of the mixture distribution for the two simulated traits when analyzed with BayesR or BayesMV

From: A multi-trait Bayesian method for mapping QTL and genomic prediction

pQTLa

Distributionb

Simulatedc

BayesRd

BayesMV

0.0

Unassociated

12,725

–

12,643

(trait1)1_(trait2)1

0

12,396

14

(trait1)2–4_(trait2)1

10

174

25

(trait1)1_(trait2)2–4

10

173

23

(trait1)2–4_(trait2)2–4

0

2

41

1.0

Unassociated

12,735

–

12,728

(trait1)1_(trait2)1

0

12,435

0

(trait1)2–4_(trait2)1

0

148

1

(trait1)1_(trait2)2–4

0

159

1

(trait1)2–4_(trait2)2–4

10

3

15

  1. aQTL were independent (no pleiotropic QTL, pQTL = 0) or completely pleiotropic (pQTL = 1.0)
  2. bSubscripts indicate distributions 1 to 4, where distributions 1 to 4 explain 0, 0.0001, 0.001 or 0.01 σ 2P , respectively
  3. cThe number of simulated QTL is also provided
  4. dJoint probabilities are the product of posterior probabilities (p and q)
Back to article page

Genetics Selection Evolution

ISSN: 1297-9686