Evidence map›Paper›PMID 26343929›Full record

ArticleStatistics in medicine2015

A guide to genome-wide association analysis and post-analytic interrogation.

Eric Reed, Sara Nunez, David Kulp, Jing Qian, Muredach P Reilly, Andrea S Foulkes

Abstract read
In one paragraph

Article in Statistics in medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing 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

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

  1. Pooled it
  2. Pooled it
  3. Genome-wide association study of inhaled corticosteroid response in admixed children with asthma.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2019
    Trial
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  8. Genome wide association study unveils the genetic basis of Orobanche crenata resistance in pea.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
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  12. Article
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  15. Article
  16. Analysis of Genome-Wide Association Studies.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  17. Genome-Wide Association Analysis Identifies LILRB2 Gene for Pathological Myopia.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
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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

6 authors.

Eric ReedDepartment of Mathematics and Statistics, Mount Holyoke College, South Hadley, MA, U.S.A.
Sara NunezDepartment of Mathematics and Statistics, Mount Holyoke College, South Hadley, MA, U.S.A.
David KulpDepartment of Computer Science, University of Massachusetts, Amherst, MA, U.S.A.
Jing QianDepartment of Biostatistics and Epidemiology, University of Massachusetts, Amherst, MA, U.S.A.
Muredach P ReillyDepartment of Medicine, University of Pennsylvania, Philadelphia, PA, U.S.A.
Andrea S FoulkesDepartment of Mathematics and Statistics, Mount Holyoke College, South Hadley, MA, U.S.A.

Funding

Methods for high-dimensional data in HIV/CVD researchR01HL107196 · NHLBI · UNIVERSITY OF MASSACHUSETTS AMHERST · PI FOULKES, ANDREA S · 2011 to 2015
$2.0M
NHLBI NIH HHS R01 HL107196NHLBI NIH HHS R01-HL107196
6 · The paper itself

Abstract

This tutorial is a learning resource that outlines the basic process and provides specific software tools for implementing a complete genome-wide association analysis. Approaches to post-analytic visualization and interrogation of potentially novel findings are also presented. Applications are illustrated using the free and open-source R statistical computing and graphics software environment, Bioconductor software for bioinformatics and the UCSC Genome Browser. Complete genome-wide association data on 1401 individuals across 861,473 typed single nucleotide polymorphisms from the PennCATH study of coronary artery disease are used for illustration. All data and code, as well as additional instructional resources, are publicly available through the Open Resources in Statistical Genomics project: http://www.stat-gen.org.

Indexed as

Computational BiologyGenome-Wide Association StudyDatabases, GeneticHumansSoftwareancestryBioconductorcall rategenome-wide association (GWA) studyHardy-Weinberg equilibrium (HWE)heatmapheterozygosityIBDimputationlambda statisticManhattan plotminor allele frequency (MAF)parallel processingprincipal component analysis (PCA)Q-Q plotR coderegional association plotrelatednesssample filteringSNP filteringstatistical genomicssubstructuretutorialUCSC Genome Browser

Identifiers

PMID26343929
PMCPMC5019244

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.