1. Human inversions and their functional consequences
- Author
-
Sònia Casillas, Mario Cáceres, Sergi Villatoro, and Marta Sabariego Puig
- Subjects
Evolution ,Functional impact ,Genome-wide association study ,Biology ,Biochemistry ,Evolution, Molecular ,03 medical and health sciences ,0302 clinical medicine ,human genome ,evolution ,Genetics ,Humans ,Disease ,Selection, Genetic ,Molecular Biology ,030304 developmental biology ,Chromosomal inversion ,Genetic association ,disease ,0303 health sciences ,Human genome ,Genome, Human ,Ghenotypic effects ,Inversion (meteorology) ,Inversions ,General Medicine ,Multiple species ,Genetics, Population ,Evolutionary biology ,Papers ,Chromosome Inversion ,gene expression ,inversions ,Gene expression ,phenotypic effects ,030217 neurology & neurosurgery ,Genome-Wide Association Study - Abstract
Polymorphic inversions are a type of structural variants that are difficult to analyze owing to their balanced nature and the location of breakpoints within complex repeated regions. So far, only a handful of inversions have been studied in detail in humans and current knowledge about their possible functional effects is still limited. However, inversions have been related to phenotypic changes and adaptation in multiple species. In this review, we summarize the evidences of the functional impact of inversions in the human genome. First, given that inversions have been shown to inhibit recombination in heterokaryotes, chromosomes displaying different orientation are expected to evolve independently and this may lead to distinct gene-expression patterns. Second, inversions have a role as disease-causing mutations both by directly affecting gene structure or regulation in different ways, and by predisposing to other secondary arrangements in the offspring of inversion carriers. Finally, several inversions show signals of being selected during human evolution. These findings illustrate the potential of inversions to have phenotypic consequences also in humans and emphasize the importance of their inclusion in genome-wide association studies.
- Published
- 2015
- Full Text
- View/download PDF