Evidence map›Paper›PMID 20018026›Full record

ArticleBMC proceedings2009

Genome-wide association studies using single-nucleotide polymorphisms versus haplotypes: an empirical comparison with data from the North American Rheumatoid Arthritis Consortium.

Heejung Shim, Hyonho Chun, Corinne D Engelman, Bret A Payseur

Abstract read
In one paragraph

Article in BMC proceedings, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–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

17 citing papers in PubMed.

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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

4 authors.

Heejung Shim *Department of Statistics, University of Wisconsin-Madison, 1300 University Avenue, Madison, Wisconsin 53706 USA.
Hyonho Chun *Department of Statistics, University of Wisconsin-Madison, 1300 University Avenue, Madison, Wisconsin 53706 USA.
Corinne D EngelmanDepartment of Population Health Sciences, University of Wisconsin-Madison, 707 WARF Building, 610 North Walnut Street, Madison, Wisconsin 53726 USA.
Bret A PayseurLaboratory of Genetics, University of Wisconsin-Madison, 425-G Henry Mall, Madison, Wisconsin 53706 USA.

Funding

GENETIC ANALYSIS OF COMMON DISEASES: AN EVALUATIONR01GM031575 · NIGMS · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI ALMASY, LAURA A. · 1985 to 2016
$7.8M
Integrating SNPs and STRPs in Population GeneticsR01HG004498 · NHGRI · UNIVERSITY OF WISCONSIN-MADISON · PI PAYSEUR, BRET A · 2008 to 2012
$1.4M
NHGRI NIH HHS R01 HG004498NIGMS NIH HHS R01 GM031575
6 · The paper itself

Abstract

The high genomic density of the single-nucleotide polymorphism (SNP) sets that are typically surveyed in genome-wide association studies (GWAS) now allows the application of haplotype-based methods. Although the choice of haplotype-based vs. individual-SNP approaches is expected to affect the results of association studies, few empirical comparisons of method performance have been reported on the genome-wide scale in the same set of individuals. To measure the relative ability of the two strategies to detect associations, we used a large dataset from the North American Rheumatoid Arthritis Consortium to: 1) partition the genome into haplotype blocks, 2) associate haplotypes with disease, and 3) compare the results with individual-SNP association mapping. Although some associations were shared across methods, each approach uniquely identified several strong candidate regions. Our results suggest that the application of both haplotype-based and individual-SNP testing to GWAS should be adopted as a routine procedure.

Identifiers

PMID20018026
PMCPMC2795933

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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.