Evidence map›Paper›PMID 17160900›Full record

ArticleAmerican journal of human genetics2007

Identification of the genetic basis for complex disorders by use of pooling-based genomewide single-nucleotide-polymorphism association studies.

John V Pearson, Matthew J Huentelman, Rebecca F Halperin, Waibhav D Tembe, Stacey Melquist, Nils Homer, Marcel Brun, Szabolcs Szelinger, Keith D Coon, Victoria L Zismann and 14 more

Open access · bronzeAbstract readEvaluation Study
In one paragraph

Article in American journal of human genetics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed, 1 pooled it
12.2field-weighted citation impact, top 1% 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

81 citing papers in PubMed, 1 synthesis or guideline pooled it, 155 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
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  7. Review
  8. Article
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  11. Genome-Wide Association Study of Acute Renal Graft Rejection.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2017
    Article
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  19. Genetic implication of a novel thiamine transporter in human hypertension.Journal of the American College of Cardiology · 2014
    Article
  20. Article

21 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

24 authors at 8 institutions in 5 countries.

John V PearsonTranslational Genomics Research Institute, Phoenix, AZ, 85004, USA.
Matthew J Huentelman
Rebecca F Halperin
Waibhav D Tembe
Stacey Melquist
Nils Homer
Marcel Brun
Szabolcs Szelinger
Keith D Coon
Victoria L Zismann
Jennifer A Webster
Thomas Beach
Sigrid B Sando
Jan O Aasly
Reinhard Heun
Frank Jessen
Heike Kolsch
Magdalini Tsolaki
Makrina Daniilidou
Eric M Reiman
Andreas Papassotiropoulos
Michael L Hutton
Dietrich A Stephan
David W Craig
Translational Genomics Research Institute · USUniversity of Bonn · DEAristotle University of Thessaloniki · GRMayo Clinic · USAlzheimer's Association · USBanner Health · USNorwegian University of Science and Technology · NOSt Olav's University Hospital · NO

Funding

Research Education ComponentP30AG019610 · NIA · SUN HEALTH RESEARCH INSTITUTE · PI GONZALEZ HERNANDEZ, GRACIELA · 2001 to 2020
$32.5M
PET, APOE, &THE PRECLINICAL COURSE OF ALZHEIMER DISEASER01MH057899 · NIMH · BANNER GOOD SAMARITAN MEDICAL CENTER · PI REIMAN, ERIC MICHAEL · 1998 to 2006
$5.2M
Microarray Center for Research on the Nervous SystemU24NS043571 · NINDS · TRANSLATIONAL GENOMICS RESEARCH INST · PI STEPHAN, DIETRICH A · 2002 to 2004
$3.8M
Design and Analysis of Multi-Staged Association Studies Using Pooled Genomic DNAU01HL086528 · NHLBI · TRANSLATIONAL GENOMICS RESEARCH INST · PI CRAIG, DAVID W · 2006 to 2008
$1.1M
NHLBI NIH HHS U01 HL086528NHLBI NIH HHS U01-HL086528-01NIA NIH HHS P30 AG019610NIA NIH HHS P30 AG19610NIMH NIH HHS R01 MH057899NINDS NIH HHS 1U24NS043571NINDS NIH HHS U24 NS043571
6 · The paper itself

Abstract

We report the development and validation of experimental methods, study designs, and analysis software for pooling-based genomewide association (GWA) studies that use high-throughput single-nucleotide-polymorphism (SNP) genotyping microarrays. We first describe a theoretical framework for establishing the effectiveness of pooling genomic DNA as a low-cost alternative to individually genotyping thousands of samples on high-density SNP microarrays. Next, we describe software called "GenePool," which directly analyzes SNP microarray probe intensity data and ranks SNPs by increased likelihood of being genetically associated with a trait or disorder. Finally, we apply these methods to experimental case-control data and demonstrate successful identification of published genetic susceptibility loci for a rare monogenic disease (sudden infant death with dysgenesis of the testes syndrome), a rare complex disease (progressive supranuclear palsy), and a common complex disease (Alzheimer disease) across multiple SNP genotyping platforms. On the basis of these theoretical calculations and their experimental validation, our results suggest that pooling-based GWA studies are a logical first step for determining whether major genetic associations exist in diseases with high heritability.

Indexed as

Genome, HumanModels, GeneticSoftwareAlzheimer DiseaseCase-Control StudiesComputer SimulationGenetic MarkersGenotypeGonadal DysgenesisHumansMaleOligonucleotide Array Sequence AnalysisPolymorphism, Single NucleotideResearch DesignSupranuclear Palsy, ProgressiveSyndromeGenetic Markers

Identifiers

PMID17160900
PMCPMC1785308
OpenAlexW2002276824

What OpenQuestion holds

Textmetadata
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.