DOI: 10.1016/j.tree.2016.12.008
论文题名: Trait Correlations in the Genomics Era
作者: Saltz J.B. ; Hessel F.C. ; Kelly M.W.
刊名: Trends in Ecology and Evolution
ISSN: 1695347
出版年: 2017
卷: 32, 期: 4 起始页码: 279
结束页码: 290
语种: 英语
英文关键词: correlated characters
; genetic basis
; linkage disequilibrium
; pleiotropy
; trait correlations
Scopus关键词: correlation
; evolutionary biology
; genetic variation
; genetics
; genomics
; identification method
; pleiotropy
; quantitative analysis
英文摘要: Thinking about the evolutionary causes and consequences of trait correlations has been dominated by quantitative genetics theory that is focused on hypothetical loci. Since this theory was initially developed, technology has enabled the identification of specific genetic variants that contribute to trait correlations. Here, we review studies of the genetic basis of trait correlations to ask: What has this new information taught us? We find that causal variants can be pleiotropic and/or linked in different ways, indicating that pleiotropy and linkage are not alternative genetic mechanisms. Further, many trait correlations have a polygenic basis, suggesting that both pleiotropy and linkage likely contribute. We discuss implications of these findings for the evolutionary causes and consequences of trait correlations. © 2017 Elsevier Ltd Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/66945
Appears in Collections: 全球变化的国际研究计划 气候变化与战略
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作者单位: Rice University, 6100 Main Street, Houston, TX, United States; Baylor College of Medicine, 1 Baylor Plaza, Houston, TX, United States; Louisiana State University, 202 Life Sciences Building, Baton Rouge, LA, United States
Recommended Citation:
Saltz J.B.,Hessel F.C.,Kelly M.W.. Trait Correlations in the Genomics Era[J]. Trends in Ecology and Evolution,2017-01-01,32(4)