Développement du modèle de farnir¶
Vraisemblance¶
__ V = || V i i genotype du pere i, G(i) in { QQ,Qq,qQ,qq } genotype de la mere i,i, G(i,j) in { QQ,Qq,qQ,qq } prob(G(i)) in { P'1, P'2, P'3, P'4} a P'1 = --------- 1 + Sum (a+b+c) b P'2 = --------- 1 + Sum (a+b+c) c P'3 = --------- 1 + Sum (a+b+c) 1 P'4 = --------- 1 + Sum (a+b+c) __ __ V = Sum [ prob(G(i)) * || Sum(G(i,j)) [ Sum [p(hd(ij)) || prob(G(i,j,k))]]] i G(i) (i,j) nd pour chaque position à tester : prob(G(i,j,k)) = exp 1/2( Y(i,j,k) - Mu(i) - Mu(i,j) - [ pdd(1)* A[G(i)[1],G(i,j)[1]] + pdd(2)* A[G(i)[1],G(i,j)[2]] - pdd(3)* A[G(i)[2],G(i,j)[1]] - pdd(4)* A[G(i)[2],G(i,j)[2]]] )
Source¶
source:trunk/src/analyse/m_qtlmap_analyse_biallelic_farnir.f95
Note :
Pour modifier le modèle selon le tableau suivant :
Général | Dominance | Additif |
L1 | L1 | L1 |
L2 | L2 | (L1+L2)/2 |
L3 | L2 | (L1+L2)/2 |
L4 | L3 | L2 |
Il faut décommenter les lignes ici : source:trunk/src/analyse/m_qtlmap_analyse_biallelic_farnir.f95#L320
Execution dans QTLMap¶
--calcul=40
Paramètres à estimer¶
P1 :
Summary des resultats Demi-Freres(ndmin=15)¶
Reference¶
calcul=1
I-----------I-----------I-----------I-----------I 53.2 - oo 51.3 I 49.4 I oo 47.5 I o 45.6 I 43.7 I o 41.8 - 40.0 I o 38.1 I 36.2 I o 34.3 I o 32.4 I o 30.5 - o 28.6 I 26.7 I o 24.8 I o o 22.9 I o o oo o 21.1 I o 19.2 - o o o 17.3 I o 15.4 I o o 13.5 I o o o 11.6 I o o o 9.7 I o 7.8 - o I-----------I-----------I-----------I-----------I 0.01 0.42 0.83 1.25 1.66 Maximum likelihood ratio test : Test H0 / H1 : 53.19069 The maximum is reached at position(s) 0.6600(Chr :7 ) flanking marker (qtl: 1) ,SLA ,S0102 --------------------------------------------------------------- Estimation of parameters under H1 --------------------------------------------------------------- Within sire standard deviation sire 910001 s.d. : 0.484 sire 910045 s.d. : 0.567 sire 910081 s.d. : 0.578 sire 910088 s.d. : 0.568 parameter estimable ? value precision Sire Qtl effect Sire 910001 yes -0.178 0.000 Sire 910045 yes -0.121 0.000 Sire 910081 yes -0.203 0.000 Sire 910088 yes -0.255 0.000 Dam Qtl effect Dam 910014 yes -0.287 0.000 Dam 910071 yes -0.219 0.000 Dam 910002 yes -0.450 0.000 Dam 910010 yes -0.186 0.000 Dam 910009 yes -0.134 0.000 Dam 910069 yes -0.084 0.000 Dam 910074 yes -0.337 0.000 Mean Sire Sire 910001 yes 6.872 0.000 Sire 910045 yes 7.086 0.000 Sire 910081 yes 7.179 0.000 Sire 910088 yes 7.405 0.000 Mean dam Dam 910014 [Sire 910001] yes -0.022 0.000 Dam 910071 [Sire 910001] yes 0.022 0.000 Dam 910002 [Sire 910081] yes 0.014 0.000 Dam 910010 [Sire 910081] yes -0.014 0.000 Dam 910009 [Sire 910088] yes -0.021 0.000 Dam 910069 [Sire 910088] yes 0.196 0.000 Dam 910074 [Sire 910088] yes -0.174 0.000
Additif¶
Methode d'optim | MaxLRT | Pos | Prob(QQ) | Prob(Qq) | Prob(qQ) | Prob(qq) | ||||
quasinewton | 47.66 | 0.66 | 0% | 16.738 | 92% | 16.315 | 7% | 15.892 | 0% | 15.892 |
simplex | 50.89 | 0.66 | 1% | -54.827 | 93% | -55.275 | 5% | -55.275 | 0% | -55.722 |
sbplx | 47.32 | 0.66 | 0% | -0.306 | 99% | 0.143 | 0% | 0.143 | 0% | 0.592 |
h3.
Additif ndmin=50¶
Methode d'optim | MaxLRT | Pos | Prob(QQ) | Prob(Qq) | Prob(qQ) | Prob(qq) | ||||
quasinewton | 29.02 | 0.56 | 0% | -0.705 | 94% | -1.136 | 5% | -1.136 | 0% | -1.566 |
simplex | 28.74 | 0.56 | 2% | 59.122 | 91% | 58.691 | 5% | 58.691 | 0% | 58.261 |
sbplx | 47.32 | 0.66 | 0% | 0.038 | 94% | -0.392 | 5% | -0.392 | 0% | -0.823 |
General ndmin=15¶
Methode d'optim | MaxLRT | Pos | Prob(QQ) | Prob(Qq) | Prob(qQ) | Prob(qq) | ||||
quasinewton | 51.83 | 0.66 | 0% | 1.438 | 92% | 0.798 | 7% | 0.966 | 0% | 0.639 |
simplex | 56.29 | 0.66 | 1% | -89.091 | 92% | -89.805 | 6% | -89.560 | 0% | -89.955 |
sbplx | 54.48 | 0.66 | 0% | -0.225 | 99% | 0.090 | 0% | 0.032 | 0% | 0.763 |
General ndmin=50¶
Methode d'optim | MaxLRT | Pos | Prob(QQ) | Prob(Qq) | Prob(qQ) | Prob(qq) | ||||
quasinewton | 30.93 | 0.56 | 0% | -1.538 | 94% | -2.270 | 5% | -1.929 | 0% | -2.483 |
simplex | 30.62 | 0.56 | 3% | -16.301 | 91% | -17.034 | 5% | -16.692 | 0% | -17.246 |
sbplx | 30.93 | 0.56 | 0% | 0.198 | 94% | -0.534 | 5% | -0.193 | 0% | -0.747 |