Open AccessDetecting Population Growth, Selection and Inherited Fertility From Haplotypic Data in Humans
Author(s) -
Frédéric Austerlitz,
Luba Kalaydjieva,
Évelyne Heyer
Publication year - 2003
Publication title -
genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.792
H-Index - 246
eISSN - 1943-2631
pISSN - 0016-6731
DOI - 10.1093/genetics/165.3.1579
Subject(s) - biology , mutation rate , selection (genetic algorithm) , allele frequency , genetics , population , allele , population genetics , evolutionary biology , demography , gene , artificial intelligence , sociology , computer science
The frequency of a rare mutant allele and the level of allelic association between this allele and one or several closely linked markers are frequently measured in genetic epidemiology. Both quantities are related to the time elapsed since the appearance of the mutation in the population and the intrinsic growth rate of the mutation (which may be different from the average population growth rate). Here, we develop a method that uses these two kinds of genetic data to perform a joint estimation of the age of the mutation and the minimum growth rate that is compatible with its present frequency. In absence of demographic data, it provides a useful estimate of population growth rate. When such data are available, contrasts among estimates from several loci allow demographic processes, affecting all loci similarly, to be distinguished from selection, affecting loci differently. Testing these estimates on populations for which data are available for several disorders shows good congruence with demographic data in some cases whereas in others higher growth rates are obtained, which may be the result of selection or hidden demographic processes.