Page 173 - Linear Models for the Prediction of Animal Breeding Values 3rd Edition
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p
                                                                  m
        its paternal (p) and its maternal (m) parents. Also, let Q  and Q   denote alleles at
                                                                  i
                                                           i
                                                m
                                         p
        the quantitative trait loci linked to M and M   as illustrated below:
                                         i      i
              M p i       Q p i
            _____________________
                |           |
            _____________________
                |           |
                m           m
              M i          Q i
             p
                                                           m
                   m
                                                    p
        Let v and v be the genetic additive effects of Q and Q , respectively, and u  the
             i      i                               i      i                  i
        genetic additive effects of the remaining quantitative trait loci not linked to the ML.
        Then the additive genetic value (a ) of individual i is:
                                      i
            a  = v + v  + u                                                 (10.1)
                     m
                 p
             i   i   i   i
            Given only phenotypic information, the usual BLUP equation for additive genetic
        effects (Section 3.2) is:
            y  = x b + a  + e                                               (10.2)
             i   i    i  i
        Replacing a  above by Eqn 10.1 gives:
                   i
                      p
            y  = x b + v + v  + u  + e                                      (10.3)
                          m
             i   i    i   i   i  i
            From Section 2.2, the covariance matrix for u , A, is the usual relationship matrix
                                                   i
        (Henderson, 1976) but the covariance for v , G , depends on both the relationship
                                               i  v
        matrix and marker information. Thus given A and G , the BLUP of v  and u  can be
                                                       v             i     i
        obtained using the usual MME. The calculation of A and its inverse has been covered
        in Chapter 2. The calculation of G  and its inverse are covered in the next section.
                                      v
        10.3 Calculating the Covariance Matrix (G )
                                                         v
        for MQTL Effects
                      2
        The matrix G s  represents the covariance between the additive effects of the MQTL
                    v  v
        alleles. For simplicity, consider only maternal MQTL. Assume two arbitrary individu-
                                                                           m
                                                                     m
                                                m
                                        m
        als b and b′ inherit MQTL alleles Q  and Q  with additive effects v  and v  from
                                        b       b′                   b     b ′
                                                                       m
                                                                             m
        dams d and d′, respectively. The covariance between the additive effects v  and v  for
                                                                       b     b′
        the maternal MQTL in b and b′ is:
                                      m
                                 m
                             m
                 m
                                                  m
                                                        m
                    m
                                           m
            cov(v , v ) = cov(v , v  | Q ≡ Q ) · P(Q ≡ Q )
                 b  b′        b  b′   b    b′      b    b′
                                         m
                                    m
                             m
                      = var(v ) · P(Q ≡ Q )                                 (10.4)
                             b      b     b′
                          2
                      = s G
                          v  v(b,b′)
                   m
                         2
                                                              m
                                                                   m
        where var(v ) = s  is the variance of the MQTL allele, P(Q ≡ Q ) is the proba-
                   b     v                                    b     b′
                                                     m
                    m
        bility that Q  is identical by descent (IBD) to Q  and the matrix G   is the
                    b                                 b′                v(b,b′)
        covariance matrix for the MQTL between b and b′. Given that b is not a direct
                         m
        descendant of b′, Q  can only be identical by descent to Q  in two mutually exclusive
                                                          m
                         b                                b′
        manners: (i) if Q  is IBD to Q , the paternal MQTL allele of the dam of b′, and
                                    p
                        m
                        b           d′
                                              m
        b′ has inherited Q ; or (ii) Q  is IBD to Q , the maternal MQTL allele of the dam
                        p
                                  m
                                              d′
                        d′
                                  b
        of b′, and b′ has inherited Q . This is akin to calculating A where the relation-
                                   m
                                   d′
        ship, say, between b and b′ is evaluated through the relationship of b with the
        parents of b′.
        Use of Genetic Markers in Breeding Value Prediction                  157
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