Evidence map›Paper›PMID 19409523›Full record

SynthesisAmerican journal of human genetics2009

Multilocus Bayesian meta-analysis of gene-disease associations.

Paul J Newcombe, Claudio Verzilli, Juan P Casas, Aroon D Hingorani, Liam Smeeth, John C Whittaker

Open access · bronzeAbstract readMeta-Analysis
In one paragraph

Synthesis in American journal of human genetics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 3 pooled it
2.5field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 3 syntheses or guidelines pooled it, 29 citations in OpenAlex.

  1. Pooled it
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  10. New information on the genetics of stroke.Current neurology and neuroscience reports · 2011
    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

6 authors at 1 institution in 1 country.

Paul J NewcombeDepartment of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, WC1E 7HT London, UK.
Claudio Verzilli
Juan P Casas
Aroon D Hingorani
Liam Smeeth
John C Whittaker
University College London · GB

Funding

British Heart FoundationMedical Research Council G0600580Wellcome Trust 082178
6 · The paper itself

Abstract

Meta-analysis is a vital tool in genetic epidemiology. However, meta-analyses to identify gene-disease associations are compromised when contributing studies have typed partially overlapping sets of markers. Currently, only marginal analyses are possible, and these are restricted to the subset of studies typing that marker. This does not allow full use of available data and leads to the confounding of marker effects by closely associated markers. We present a Bayesian approach that exploits prior information on underlying haplotypes to allow multi-marker analysis incorporating data from all relevant studies of a gene or region, irrespective of the markers typed. We present results from application of our approach to data on a possible association between PDE4D and ischemic stroke.

Indexed as

Genetic Predisposition to DiseaseModels, GeneticBayes TheoremComputer SimulationCyclic Nucleotide Phosphodiesterases, Type 4Genetic MarkersHaplotypesHumansPolymorphism, Single NucleotideStrokeCyclic Nucleotide Phosphodiesterases, Type 4Genetic Markers

Identifiers

PMID19409523
PMCPMC2680997
OpenAlexW2011177247

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.