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                                                                     8. The Polygenic Model

                                                                          1
                                                  1

                                                           1
                                                                                          (8.15)
                                                                            Cov(X k ,X l ).
                                                +
                                                                 Var(X l )+
                                                      1 −
                                                                          2
                                                  4
                                                         2n − 1
                              In the absence of inbreeding, Cov(X k ,X l ) = 0, and one can argue induc-
                              tively that Var(X i )=2n. Indeed, the induction hypothesis Var(X k )=2n
                              and Var(X l )=2n and the recurrence (8.15) imply that Var(X i )= 2n.
                                Summarizing the situation for a non-inbred pedigree, all means reduce
                              to E(X i ) = 0 and all variances to Var(X i )=2n. All covariances either
                              are 0 or are governed by the recurrence (8.13). Thus, insofar as first and
                              second moments are concerned, the hypergeometric polygenic model ex-
                                                                                         2
                              actly mimics the inheritance of a fully additive polygenic trait (σ =0)
                                                                                         d
                              with mean 0 and variance 2n. This resemblance and the empirical calcula-
                              tions carried out by Elston, Fernando, and Stricker [11, 34] for the mixed
                              model suggest that the hypergeometric polygenic model is a computation-
                              ally efficient substitute for the polygenic model. A pleasing aspect of this
                              substitution is that all computations can be performed via a version of the
                              Elston-Stewart algorithm featured in Chapter 7.
                              8.10 Application to Risk Prediction
                              For a simple numerical application to the polygenic threshold model, con-
                              sider the pedigree of Figure 8.2. In this pedigree, darkened individuals
                              are afflicted by a hypothetical disease with a prevalence of .01 and a
                              heritability of .75. We approximate the polygenic liability to disease
                                                                             1
                              of person i in the pedigree by the sum Z i = σ a ( √  X i )+ σ e Y i , where
                                                                             2n
                              X i is determined by the hypergeometric polygenic model with 2n poly-
                                                                                    2
                              genes; the Y i are independent, standard normal deviates; σ = .75; and
                                                                                    a
                                                         2
                                                     2
                                2
                                                 2
                              σ = .25. The ratio σ /(σ +σ ) is by definition the heritability of each Z i .
                                                 a
                                e
                                                     a
                                                         e
                              Given that each Z i follows an approximate standard normal distribution,
                              the liability threshold of 2.326 is determined by the prevalence condition
                                          2
                                1  "  ∞  −z /2
                               √       e     dz = .01.
                                2π  2.326
                                The individuals represented by ♦ marks in Figure 8.2 are unborn, po-
                              tential children. Table 8.3 gives the conditional probabilities that these
                              children will be afflicted with the disease. The recurrence risks recorded
                              evidently stabilize at about 35 percent, 12 percent, and 6 percent as the
                              number of polygenes 2n →∞. Under the alternative hypothesis of an
                              autosomal dominant mode of disease, these risks are 1/2, 1/2, and 0, re-
                              spectively. In counseling families such as this one, where risks are strongly
                              model dependent, one should obviously exercise caution.
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