Sex differences in disease genetics: evidence, evolution, and detection.
(2014) In Trends in Genetics 30(10). p.453-463- Abstract
- Understanding the genetic architecture of disease is an enormous challenge, and should be guided by evolutionary principles. Recent studies in evolutionary genetics show that sexual selection can have a profound influence on the genetic architecture of complex traits. Here, we summarise data from heritability studies and genome-wide association studies (GWASs) showing that common genetic variation influences many diseases and medically relevant traits in a sex-dependent manner. In addition, we discuss how the discovery of sex-dependent effects in population samples is improved by joint interaction analysis (rather than separate-sex), as well as by recently developed software. Finally, we argue that although genetic variation that has... (More)
- Understanding the genetic architecture of disease is an enormous challenge, and should be guided by evolutionary principles. Recent studies in evolutionary genetics show that sexual selection can have a profound influence on the genetic architecture of complex traits. Here, we summarise data from heritability studies and genome-wide association studies (GWASs) showing that common genetic variation influences many diseases and medically relevant traits in a sex-dependent manner. In addition, we discuss how the discovery of sex-dependent effects in population samples is improved by joint interaction analysis (rather than separate-sex), as well as by recently developed software. Finally, we argue that although genetic variation that has sex-dependent effects on disease risk could be maintained by mutation-selection balance and genetic drift, recent evidence indicates that intra-locus sexual conflict could be a powerful influence on complex trait architecture, and maintain sex-dependent disease risk alleles in a population because they are beneficial to the opposite sex. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4691195
- author
- Gilks, William P ; Abbott, Jessica LU and Morrow, Edward H
- organization
- publishing date
- 2014
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Trends in Genetics
- volume
- 30
- issue
- 10
- pages
- 453 - 463
- publisher
- Elsevier
- external identifiers
-
- pmid:25239223
- wos:000342609200004
- scopus:84921914031
- ISSN
- 1362-4555
- DOI
- 10.1016/j.tig.2014.08.006
- language
- English
- LU publication?
- yes
- id
- 7436699d-edd0-42dd-8b16-062cf6592d62 (old id 4691195)
- date added to LUP
- 2016-04-01 10:59:23
- date last changed
- 2024-01-22 03:49:29
@article{7436699d-edd0-42dd-8b16-062cf6592d62, abstract = {{Understanding the genetic architecture of disease is an enormous challenge, and should be guided by evolutionary principles. Recent studies in evolutionary genetics show that sexual selection can have a profound influence on the genetic architecture of complex traits. Here, we summarise data from heritability studies and genome-wide association studies (GWASs) showing that common genetic variation influences many diseases and medically relevant traits in a sex-dependent manner. In addition, we discuss how the discovery of sex-dependent effects in population samples is improved by joint interaction analysis (rather than separate-sex), as well as by recently developed software. Finally, we argue that although genetic variation that has sex-dependent effects on disease risk could be maintained by mutation-selection balance and genetic drift, recent evidence indicates that intra-locus sexual conflict could be a powerful influence on complex trait architecture, and maintain sex-dependent disease risk alleles in a population because they are beneficial to the opposite sex.}}, author = {{Gilks, William P and Abbott, Jessica and Morrow, Edward H}}, issn = {{1362-4555}}, language = {{eng}}, number = {{10}}, pages = {{453--463}}, publisher = {{Elsevier}}, series = {{Trends in Genetics}}, title = {{Sex differences in disease genetics: evidence, evolution, and detection.}}, url = {{http://dx.doi.org/10.1016/j.tig.2014.08.006}}, doi = {{10.1016/j.tig.2014.08.006}}, volume = {{30}}, year = {{2014}}, }