Evidence map›Paper›PMID 22286170›Full record

ArticleHuman molecular genetics2012

The combination of a genome-wide association study of lymphocyte count and analysis of gene expression data reveals novel asthma candidate genes.

Darren A Cusanovich, Christine Billstrand, Xiang Zhou, Claudia Chavarria, Sherryl De Leon, Katelyn Michelini, Athma A Pai, Carole Ober, Yoav Gilad

Open access · hybridAbstract read
In one paragraph

Article in Human molecular genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 5 pooled it
6.0field-weighted citation impact, top 3% of its field
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

35 citing papers in PubMed, 5 syntheses or guidelines pooled it, 52 citations in OpenAlex.

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  9. Where Are the Disease-Associated eQTLs?Trends in genetics : TIG · 2021
    Review
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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 at 1 institution in 1 country.

Darren A CusanovichDepartment of Human Genetics, University of Chicago, Chicago, IL 60637, USA.
Christine Billstrand
Xiang Zhou
Claudia Chavarria
Sherryl De Leon
Katelyn Michelini
Athma A Pai
Carole Ober
Yoav Gilad
University of Chicago · US

Funding

PREDOCTORAL TRAINING IN GENETICS AND REGULATIONT32GM007197 · NIGMS · UNIVERSITY OF CHICAGO · PI ROTHMAN-DENES, LUCIA B. B · 1985 to 2020
$17.0M
Sex-Specific Genetic Architecture of Asthma-Associated Quantitative TraitsR01HL085197 · NHLBI · UNIVERSITY OF CHICAGO · PI OBER, CAROLE · 2007 to 2015
$7.6M
The EVE Asthma Genetics Consortium: Building Upon GWASRC2HL101651 · NHLBI · UNIVERSITY OF CHICAGO · PI NICOLAE, DAN LIVIU, OBER, CAROLE · 2009 to 2010
$7.4M
Integrating genomics and gene expression analyses to map CVD-associated lociR01HL092206 · NHLBI · UNIVERSITY OF CHICAGO · PI GILAD, YOAV · 2009 to 2021
$7.3M
NHLBI NIH HHS HL085197NHLBI NIH HHS HL092206NHLBI NIH HHS HL101651NHLBI NIH HHS R01 HL085197NHLBI NIH HHS R01 HL092206NHLBI NIH HHS RC2 HL101651NIGMS NIH HHS T32 GM007197
6 · The paper itself

Abstract

Recent genome-wide association studies (GWAS) have identified a number of novel genetic associations with complex human diseases. In spite of these successes, results from GWAS generally explain only a small proportion of disease heritability, an observation termed the 'missing heritability problem'. Several sources for the missing heritability have been proposed, including the contribution of many common variants with small individual effect sizes, which cannot be reliably found using the standard GWAS approach. The goal of our study was to explore a complimentary approach, which combines GWAS results with functional data in order to identify novel genetic associations with small effect sizes. To do so, we conducted a GWAS for lymphocyte count, a physiologic quantitative trait associated with asthma, in 462 Hutterites. In parallel, we performed a genome-wide gene expression study in lymphoblastoid cell lines from 96 Hutterites. We found significant support for genetic associations using the GWAS data when we considered variants near the 193 genes whose expression levels across individuals were most correlated with lymphocyte counts. Interestingly, these variants are also enriched with signatures of an association with asthma susceptibility, an observation we were able to replicate. The associated loci include genes previously implicated in asthma susceptibility as well as novel candidate genes enriched for functions related to T cell receptor signaling and adenosine triphosphate synthesis. Our results, therefore, establish a new set of asthma susceptibility candidate genes. More generally, our observations support the notion that many loci of small effects influence variation in lymphocyte count and asthma susceptibility.

Indexed as

Lymphocyte CountAsthmaCell LineData Interpretation, StatisticalEthnicityGene Expression ProfilingGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansQuantitative Trait Loci

Identifiers

PMID22286170
PMCPMC3315207
OpenAlexW2170506381

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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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.