As noted in the previous chapter, Hardy–Weinberg equilibrium assumes that all mating is random and that two mates are completely unrelated; in other words, no inbreeding. We can see that this will never be strictly true, as we are all related and inbred to some extent. However, the genetic impact of inbreeding depends on the closeness of the relationship of the parents. If two parents are seventh cousins, then the degree of relationship is so small that for all practical purposes they are unrelated. More significant deviations from the assumption of random mating are associated with close degrees of relationship, such as mating between siblings, uncles and nieces (or aunts and nephews), or first cousins.
In addition, as noted earlier, inbreeding does not directly change the frequency of an allele, and is therefore not an evolutionary force. Instead, inbreeding changes the genotype proportions from those expected under Hardy–Weinberg equilibrium, such that the frequency of homozygotes is increased, and the frequency of heterozygotes is decreased. Although inbreeding by itself does not change allele frequencies, it can interact with one of the evolutionary forces to change the rate of allele frequency change. As an example (to be covered in more detail in Chapter 6), imagine a case where there is selection against a recessive homozygote. Under inbreeding, there will be a greater number of these homozygotes with each generation such that a greater proportion of the population will be selected against, and the speed of selection will therefore be greater than under Hardy–Weinberg equilibrium. Again, the exact impact of inbreeding relative to random mating will depend on the level of inbreeding.
This chapter begins with the concept of the inbreeding coefficient (a measure of the level of inbreeding) and how inbreeding is determined from genealogical data. This introduction is followed by an explanation of how inbreeding affects genotype frequencies but not allele frequencies. This chapter concludes with discussion of variation in rates of inbreeding in human populations as well as several case studies of measurement and analysis of inbreeding in human populations. Inbreeding is of particular interest in studies of human population genetics because different cultures may have different rules and preferences for and against different levels of inbreeding. The study of inbreeding in human populations thus provides an opportunity to examine how human culture affects genetic variation.
As noted earlier, inbreeding is the result of mating between relatives. However, as was just discussed, it is clear that we are all inbred to some extent or another because everyone’s ancestry becomes commingled with everyone else’s. Genetically, most of our concern is with relatively close levels of inbreeding, which translates practically into a concern with common ancestry within a handful of generations. Questions about inbreeding are questions about common ancestry, and are best explained by examining the genealogical relationship between individuals.
3.1.1 Genealogies and Inbreeding
Genealogical diagrams provide the best way to understand common ancestry and inbreeding. There are several different ways of drawing genealogies, with different symbols used to designate males and females, and different arrangements of lines to illustrate lines of descent. How would you draw your family tree back three generations? One way of doing this has already been shown in Figures 3.1 and 3.2, with horizontal lines indicating matings and vertical lines to indicate descent. Another method is shown in Figure 3.3, depicting the same relationships as in Figure 3.2 but eliminating the horizontal lines and using diagonal lines to indicate descent. This method is used throughout this text because it is easier to see descent and genetic relationships when discussing inbreeding.
Because our focus here is on genetic relationships, all of the hypothetical genealogies used here refer to mating (a biological act) and not marriage (a culturally defined relationship). Although anthropologists and geneticists will sometimes use marriage records to reconstruct genealogies, we have to keep in mind the possibility that some births result from extramarital relationships. Likewise, a genealogy based on cultural definitions of family and kinship could include relationships that were established through adoption or remarriage (stepparents), which would not indicate an actual genetic relationship. Unless otherwise noted, all discussions of inbreeding here refer to one’s biological relatives.
Figures 3.2 and 3.3 both show an inbred person whose parents are half first cousins. The nature of inbreeding is very clear from Figure 3.3. In any genealogy, a person is inbred if you can draw a line back through to a common ancestor and then back to the original person through a different line. In other words, a person is inbred if you can draw a loop back through one or more common ancestors. This loop is even clearer in Figure 3.4, which takes Figure 3.3 and eliminates those ancestors who are not part of the inbreeding loop. Figure 3.4 shows the loop as starting with Alice and then going backward three generations to the common ancestor (Doris). The complete loop is Alice–Boris–Celia–Doris–Connor–Barbara–Alice.
3.1.2 Types of Inbreeding
We can use this simplified form of genealogy, showing only ancestors in the chain of inbreeding, to illustrate different types of inbreeding. Extremely close forms of inbreeding occur with the offspring of parent–child mating, sib mating, and half-sib mating, all of which are shown in Figure 3.5. Different types of cousin marriage are shown in Figure 3.6. Cousins are referred to by number—first, second, third, and so on—which refers to the depth of the relationship. First cousins share one or more grandparents; the diagram in Figure 3.6 shows full first cousins, who share two grandparents. Second cousins share great grandparents, and third cousins share great-great grandparents.
There are also variations on the different types of cousin marriages. As shown in Figure 3.7, “first cousins once removed” describes the relationship between a person and the child of their first cousin. The “removed” term refers to the number of generations apart the two cousins are separated; “once removed” is one generation apart, “twice removed” refers to two generations apart, and so on. It might be useful to think about your own family to understand the relationship between various cousins. If you have a first cousin, think of that person and the set of grandparents that you have in common with that cousin. If your cousin has a child, that child is your first cousin once removed. If you also have a child, your child and your first cousin’s child are second cousins. Likewise, if your second cousin has a child, that child is your second cousin once removed. If that child then has a child, your second cousin’s grandchild will be your second cousin twice removed. Yes, it can get very complicated quickly!
Figure 3.7 shows two other variations on first cousin mating. Whereas first cousins as shown in Figure 3.6 share two grandparents, half first cousins share only one grandparent (as was shown earlier in Figures 3.2 and 3.3). The last example in Figure 3.7 shows the mating between double first cousins. Two people are double first cousins if they share all of their grandparents. As shown here, picture two couples, each having a male child and a female child, and then having the brother and sister in one family mating with the brother and sister in the other family, producing double first cousins.
All of the matings shown in Figures 5–7 produce a child that is inbred, because all of these diagrams show a loop back through one or more common ancestors. Note that while it only takes one common ancestor to define a case of inbreeding, some types of mating involve more than one common ancestor, and thus we can draw more than one loop. For example, in Figure 3.6, full first cousin mating involves two common ancestors, and we could draw two loops, one for each grandparent. Half first cousin mating involves only one common ancestor, and we can draw only one loop. Double first cousin mating has four common ancestors (all of the grandparents), and we can therefore draw four loops (see Figure 3.7).
3.1.3 The Inbreeding Coefficient
We will now use the concept of inbreeding as a genealogical loop through one or more common ancestors to provide a quantitative measure of inbreeding known as the inbreeding coefficient. As noted in Chapter 1, homozygosity refers to the case where an individual has inherited the same allele from both parents. In the simple example of a locus with two alleles, A and a, the homozygous genotypes are AA and aa. Homozygosity is defined as the two alleles being identical, but there are actually two reasons why this identity can occur—identity by descent and identity by state. Identity by descent is when the two alleles are the same because they were both inherited from a common ancestor. Identity by state occurs when the identical alleles do not come from a common ancestor. The inbreeding coefficient (typically denoted by the symbol F) is the probability that an inbred individual has two alleles at a given locus that are identical because of inheritance from a common ancestor. F is thus the probability of identity by descent.
3.1.3.1 How to Compute the Inbreeding Coefficient
Figure 3.8 shows how this probability can be computed from the genealogy of an inbred individual. In this case, we are using the case of a person whose parents were half first cousins as was shown previously in Figures 3.3 and 3.4. The curved lines indicate the transmission of alleles from parent to child across the generations; in each case, the probability of a parent passing on a given allele to a child is . As described in the legend to Figure 3.8, the probability of Alice getting the A allele from both lines of descent from the common ancestor Doris is , and the probability of obtaining the a allele from both lines of descent is also . For Alice to have either homozygous genotype (AA or aa) is computed using the or rule, giving .
An easier shortcut can be used here:
where i is the number of individuals that lie in the loop up through the common ancestor and then down again, not counting the inbred person. Referring to Figure 3.8, we can identify the ancestors that lie on the loop from Alice to Doris and back (not counting Alice) as Boris–Celia–Doris–Connor–Barbara. There are five people in this loop, so i = 5 and . Thus, the probability of Alice having a homozygous genotype (AA or aa) because of identity by descent is 0.03125.
Computation of F gets a little bit more complicated when there is more than one common ancestor, because we need to add up the probabilities over all possible paths of descent. Consider the case of first cousin mating shown in Figure 3.9. There are two common ancestors, numbered 6 and 7. We therefore need to consider two inbreeding loops. One loop is through ancestor number 6: 1–2–4–6–5–3–1. The other loop goes through common ancestor number 7: 1–2–4–7–5–3. We now compute the inbreeding coefficient for each loop, and then add them together. The method of dealing with more than one common ancestor can be summarized with the following formula:
The symbol ∑ is the uppercase Greek letter sigma, which is used in mathematics to sum whatever terms are to the right of the symbol. In this case, the summation is over the number of common ancestors. In Figure 3.9, there are two common ancestors—individuals 6 and 7. For ancestor 6, we have , because there are five ancestors in the loop through this ancestor. For ancestor 7, the value is also because there are five ancestors in the loop through ancestor 7. Using equation (3.1), the total inbreeding coefficient is therefore the sum of these, giving .
3.1.3.2 Inbreeding Coefficients for Different Levels of Relationship
Table 3.1 presents inbreeding coefficients for various types of relationship ranging from parent–child through third cousin matings; most of the matings in Table 3.1 are shown in Figures 3.5, 3.6, 3.7. To make sure that you understand how to compute the inbreeding coefficient, you should try using equation (3.1) on the different genealogies in Figures 3.5, 3.6, 3.7 to see if you get the same values.
Mating | Inbreeding Coefficient) (F) |
Parent–child | |
Full sibs | |
Half sibs | |
Uncle–niece/aunt–nephew | |
Double first cousins | |
First cousins | |
Half first cousins | |
First cousins once removed | |
Second cousins | |
Second cousins once removed | |
Third cousins |
Source: Data from Schull (1972).
Keep in mind that inbreeding can also be cumulative when a person’s parents are related in more than one way. Figure 3.10 presents a genealogy where person 1 is inbred because her parents (individuals 2 and 3) are simultaneously first cousins and second cousins. Listing all possible loops of common ancestry and using equation (3.1), we compute the inbreeding coefficient of person 1 as F = 0.078125.