Home LiteratureArticle Details
PMID: 11525833 Published · ppublish English Comparative Study Journal Article

On the allelic spectrum of human disease.

Trends in genetics : TIG ·Vol. 17 ·No. 9 ·2001-09-00 ·Pages 502-10

Reich DE, Lander ES

Abstract

Human disease genes show enormous variation in their allelic spectra; that is, in the number and population frequency of the disease-predisposing alleles at the loci. For some genes, there are a few predominant disease alleles. For others, there is a wide range of disease alleles, each relatively rare. The allelic spectrum is important: disease genes with only a few deleterious alleles can be more readily identified and are more amenable to clinical testing. Here, we weave together strands from the human mutation and population genetics literature to provide a framework for understanding and predicting the allelic spectra of disease genes. The theory does a reasonable job for diseases where the genetic etiology is well understood. It also has bearing on the Common Disease/Common Variants (CD/CV) hypothesis, predicting that at loci where the total frequency of disease alleles is not too small, disease loci will have relatively simple spectra.

MeSH Terms
Alleles Chromosome Mapping Gene Frequency Genes, Recessive Genetic Linkage Genetic Predisposition to Disease Genetic Variation Humans Models, Genetic Mutation Predictive Value of Tests Selection, Genetic X Chromosome
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Reich D E
The Whitehead Institute/MIT Center for Genome Research, Nine Cambidge Center, Cambridge, MA 02142, USA. reich@genome.wi.mit.edu
Lander E S
Article Info
Journal
Trends in genetics : TIG
Abbr.
Trends Genet
ISSN
0168-9525
Published
2001-09-00
Pages
502-10
Language
English
Region
England
NLM ID
8507085
Subset
IM
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: product@genelibs.com