Date: Wed, 28 Jul 1999 14:01:50 -0400
Reply-To: "Hamani, Elmaache" <elmaachh@ERE.UMONTREAL.CA>
Sender: "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From: "Hamani, Elmaache" <elmaachh@ERE.UMONTREAL.CA>
Subject: Can someone help?
Content-Type: text/plain; charset="iso-8859-1"
Greetings all,
Somebody who used model ACE in genetics could help me to write the genetic
equation:
Yij= m + Cj +R_1j* MZj + R_2j*DZj + R_2ij(DZ) + e_ij
With two constraints :
2*Var(R_1j)=Var(R_2j) and Var(R_1j)=Var(R_2ij(DZ) ) ?
THANK YOU .
I' v tried to use PROC MIXED and I solved the problem partially with LDATA
and LIN(q):
A part of the:
Family twin sexe Y MZ DZ
1 1 0 13 0 1
1 2 1 16 0 1
2 1 0 17 1 0
2 2 0 17 1 0
3 1 0 16 1 0
3 2 0 17 1 0
4 1 0 14 0 1
4 2 0 17 0 1
5 1 0 12 1 0
5 2 0 14 1 0
6 2 0 13 0 1
6 1 1 13 0 1
7 1 1 22 0 1
7 2 1 13 0 1
;
Yij= m + Cj +R_1j* MZj + R_2j*DZj + R_2ij(DZ) + e_ij
With two constraints :
1- at the 2 level (elements of matrix G): 2*Var(R_1j)=Var(R_2j)
2- relationship betwin the firet level (matrix R) and the second level
(matrix G): Var(R_1j)=Var(R_2ij(DZ) ). Here R_2ij(DZ) is an element of R as
like e_ij.
I solved problem 1, but not the 2. Here my program and part of the
output:
data con;
input parm row col1-col3;
datalines;
1 1 1 0 0
2 2 0 1 0
2 3 0 0 2
;
run;
PROC MIXED data=un noclprint covtest ;
class famille ;
model nmis_agr = / noint;
random int dz mz /type=lin(2) ldata=con sub=famille G ;
repeated / r ;
run;
ouput:
R Matrix for FAMILLE 1001
Row COL1
1 0.53656972
G Matrix
Effect FAMILY Row COL1 COL2
COL3
INTERCEPT 1001 1 0.26700391
DZ 1001 2
0.09326706
MZ 1001
0.18653412
Covariance Parameter Estimates (REML)
Cov Parm Subject Estimate Std Error Z
Pr > |Z|
LIN(1) FAMILLE 0.26700391 0.15804857 1.69
0.0911
LIN(2) FAMILLE 0.09326706 0.11151294 0.84
0.4029
DIAG 0.53656972 0.04241956
12.65 0.0001
It misses here DIAG (DZ) =? for the seconde
relationship:Var(R_1j)=Var(R_2ij(DZ) ).
Thanks a lot.
best regards.