
Androgen receptor polyglutamine repeat number: models of selection and disease susceptibility
Author(s) -
Ryan Calen P.,
Crespi Bernard J.
Publication year - 2013
Publication title -
evolutionary applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.776
H-Index - 68
ISSN - 1752-4571
DOI - 10.1111/j.1752-4571.2012.00275.x
Subject(s) - biology , androgen receptor , locus (genetics) , genetics , disease , androgen , selection (genetic algorithm) , sexual selection , gene , evolutionary biology , computational biology , endocrinology , medicine , prostate cancer , cancer , artificial intelligence , hormone , computer science
Variation in polyglutamine repeat number in the androgen receptor ( AR CAG n) is negatively correlated with the transcription of androgen‐responsive genes and is associated with susceptibility to an extensive list of human disease. Only a small portion of the heritability for many of these diseases is explained by conventional SNP ‐based genome‐wide association studies, and the forces shaping AR CAG n among humans remains largely unexplored. Here, we propose evolutionary models for understanding selection at the AR CAG locus, namely balancing selection, sexual conflict, accumulation‐selection, and antagonistic pleiotropy. We evaluate these models by examining AR CAG n‐linked susceptibility to eight extensively studied diseases representing the diverse physiological roles of androgens, and consider the costs of these diseases by their frequency and fitness effects. Five diseases could contribute to the distribution of AR CAG n observed among contemporary human populations. With support for disease susceptibilities associated with long and short AR CAG n, balancing selection provides a useful model for studying selection at this locus. Gender‐specific differences AR CAG n health effects also support this locus as a candidate for sexual conflict over repeat number. Accompanied by the accumulation of AR CAG n in humans, these models help explain the distribution of repeat number in contemporary human populations.