Open AccessOn the prospect of achieving accurate joint estimation of selection with population history
Author(s) -
Parul Johri,
Adam EyreWalker,
Ryan N. Gutenkunst,
Kirk E. Lohmueller,
Jeffrey D. Jensen
Publication year - 2022
Publication title -
genome biology and evolution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.702
H-Index - 74
ISSN - 1759-6653
DOI - 10.1093/gbe/evac088
Subject(s) - biology , selection (genetic algorithm) , natural selection , population , affect (linguistics) , evolutionary biology , estimation , natural history , computational biology , management science , computer science , ecology , artificial intelligence , demography , engineering , sociology , communication , systems engineering
As both natural selection and population history can affect genome-wide patterns of variation, disentangling the contributions of each has remained as a major challenge in population genetics. We here discuss historical and recent progress towards this goal-highlighting theoretical and computational challenges that remain to be addressed, as well as inherent difficulties in dealing with model complexity and model violations-and offer thoughts on potentially fruitful next steps.