Researchers first determine the frequencies of alleles at each locus, then use those individual frequencies to predict how often each haplotype should occur if the loci were associated randomly. They compare these predictions with observed haplotype frequencies. A negative linkage disequilibrium value identifies a deficit of particular same-direction combinations and a relative excess of alternative combinations.
Recombination reshuffles alleles between homologous chromosomes, producing new haplotypes from existing allele combinations. This process reduces the nonrandom association between loci, so the observed frequencies tend to move closer to those predicted from the separate allele frequencies. The resulting change helps geneticists distinguish a persistent biological association from one that is gradually being eroded during inheritance.
Natural selection, mutation, migration, and population history can all influence the association between alleles at different loci. Selection may favor or disfavor particular combinations, while mutation introduces new alleles. Migration can bring haplotypes from another population, and historical events can leave lasting frequency patterns. Together, these forces may counteract the weakening effect of recombination.
An excess of repulsion combinations indicates that alternative alleles at the two loci occur together more often than expected relative to other combinations. This pattern provides information about how variants are arranged on chromosomes rather than only how common each allele is separately. Consequently, it can improve interpretation of inheritance patterns when analyzing multiple linked genetic markers.
A typical analysis begins by measuring allele and haplotype frequencies in a defined sample or population. Researchers calculate expected haplotype frequencies from the allele frequencies, compare them with the observed values, and evaluate the resulting linkage disequilibrium pattern. They then consider recombination and evolutionary influences to interpret whether the association reflects current processes or population history.
The association between loci can help geneticists interpret how variants are arranged and inherited across a population. In genetic mapping, these frequency relationships provide information about linked markers and nearby variants. In population studies, contrasting patterns can reveal effects of population history and structure. The same approach can also help examine combinations associated with disease or adaptive traits.