Evidence map›Paper›PMID 18571414›Full record

ArticleCurrent biology : CB2008

Natural selection on genes that underlie human disease susceptibility.

Ran Blekhman, Orna Man, Leslie Herrmann, Adam R Boyko, Amit Indap, Carolin Kosiol, Carlos D Bustamante, Kosuke M Teshima, Molly Przeworski

Abstract read
In one paragraph

Article in Current biology : CB, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 143 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
143citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

143 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  11. The distribution of highly deleterious variants across human ancestry groups.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  16. Regulatory features aid interpretation of 3'UTR variants.American journal of human genetics · 2024
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83 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Ran BlekhmanDepartment of Human Genetics, University of Chicago, Chicago, IL 60637, USA.
Orna Man
Leslie Herrmann
Adam R Boyko
Amit Indap
Carolin Kosiol
Carlos D Bustamante
Kosuke M Teshima
Molly Przeworski

Funding

Natural Selection on Gene Regulation in HumansR01GM077959 · NIGMS · UNIVERSITY OF CHICAGO · PI GILAD, YOAV · 2006 to 2014
$2.9M
Local Adaptations in HumansR01GM079558 · NIGMS · UNIVERSITY OF CHICAGO · PI DI RIENZO, ANNA · 2007 to 2010
$1.2M
Identifying human adaptations: theory and applicationsR01GM072861 · NIGMS · UNIVERSITY OF CHICAGO · PI PRZEWORSKI, MOLLY F · 2005 to 2009
$982k
NIGMS NIH HHS GM077959NIGMS NIH HHS GM79558NIGMS NIH HHS R01 GM072861NIGMS NIH HHS R01 GM077959NIGMS NIH HHS R01 GM079558
6 · The paper itself

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.

Indexed as

Databases, FactualGenome, HumanSelection, GeneticAnimalsComputational BiologyGenesGenetic Diseases, InbornGenetic Predisposition to DiseaseHumansMiceOnline SystemsPolymorphism, Genetic

Identifiers

PMID18571414
PMCPMC2474766

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.