Unknown

Dataset Information

0

Natural selection on genes that underlie human disease susceptibility.


ABSTRACT: What evolutionary forces shape genes that contribute to the risk of human disease? Do similar selective pressures act on alleles that underlie simple versus complex disorders [1-3]? Answers to these questions will shed light onto the origin of human disorders (e.g., [4]) and help to predict the population frequencies of alleles that contribute to disease risk, with important implications for the efficient design of mapping studies [5-7]. As a first step toward addressing these questions, we created a hand-curated version of the Mendelian Inheritance in Man database (OMIM). We then examined selective pressures on Mendelian-disease genes, genes that contribute to complex-disease risk, and genes known to be essential in mouse by analyzing patterns of human polymorphism and of divergence between human and rhesus macaque. We found that Mendelian-disease genes appear to be under widespread purifying selection, especially when the disease mutations are dominant (rather than recessive). In contrast, the class of genes that influence complex-disease risk shows little signs of evolutionary conservation, possibly because this category includes targets of both purifying and positive selection.

SUBMITTER: Blekhman R 

PROVIDER: S-EPMC2474766 | biostudies-literature | 2008 Jun

REPOSITORIES: biostudies-literature

altmetric image

Publications

Natural selection on genes that underlie human disease susceptibility.

Blekhman Ran R   Man Orna O   Herrmann Leslie L   Boyko Adam R AR   Indap Amit A   Kosiol Carolin C   Bustamante Carlos D CD   Teshima Kosuke M KM   Przeworski Molly M  

Current biology : CB 20080601 12


What evolutionary forces shape genes that contribute to the risk of human disease? Do similar selective pressures act on alleles that underlie simple versus complex disorders [1-3]? Answers to these questions will shed light onto the origin of human disorders (e.g., [4]) and help to predict the population frequencies of alleles that contribute to disease risk, with important implications for the efficient design of mapping studies [5-7]. As a first step toward addressing these questions, we crea  ...[more]

Similar Datasets

| S-EPMC4912034 | biostudies-literature
| S-EPMC3322230 | biostudies-literature
| S-EPMC3984348 | biostudies-literature
| S-EPMC4344185 | biostudies-literature
| S-EPMC5386188 | biostudies-literature
| S-EPMC8740935 | biostudies-literature
| S-EPMC3537702 | biostudies-literature
| S-EPMC7990779 | biostudies-literature
| S-EPMC7804400 | biostudies-literature
| S-EPMC7531306 | biostudies-literature