View : 635 Download: 217

Human genomic disease variants: A neutral evolutionary explanation

Title
Human genomic disease variants: A neutral evolutionary explanation
Authors
Dudley J.T.Kim Y.Liu L.Markov G.J.Gerold K.Chen R.Butte A.J.Kumar S.
Ewha Authors
김유섭
SCOPUS Author ID
김유섭scopus
Issue Date
2012
Journal Title
Genome Research
ISSN
1088-9051JCR Link
Citation
Genome Research vol. 22, no. 8, pp. 1383 - 1394
Indexed
SCI; SCIE; SCOPUS WOS scopus
Document Type
Review
Abstract
Many perspectives on the role of evolution in human health include nonempirical assumptions concerning the adaptive evolutionary origins of human diseases. Evolutionary analyses of the increasing wealth of clinical and population genomic data have begun to challenge these presumptions. In order to systematically evaluate such claims, the time has come to build a common framework for an empirical and intellectual unification of evolution and modern medicine. We review the emerging evidence and provide a supporting conceptual framework that establishes the classical neutral theory of molecular evolution (NTME) as the basis for evaluating disease- associated genomic variations in health and medicine. For over a decade, the NTME has already explained the origins and distribution of variants implicated in diseases and has illuminated the power of evolutionary thinking in genomic medicine. We suggest that a majority of disease variants in modern populations will have neutral evolutionary origins (previously neutral), with a relatively smaller fraction exhibiting adaptive evolutionary origins (previously adaptive). This pattern is expected to hold true for common as well as rare disease variants. Ultimately, a neutral evolutionary perspective will provide medicine with an informative and actionable framework that enables objective clinical assessment beyond convenient tendencies to invoke past adaptive events in human history as a root cause of human disease.
DOI
10.1101/gr.133702.111
Appears in Collections:
자연과학대학 > 생명과학전공 > Journal papers
Files in This Item:
001.pdf(974.38 kB) Download
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

BROWSE