Evidence map›Paper›PMID 16451654›Full record

ArticleBMC genetics2005

An updated meta-analysis approach for genetic linkage.

Carol J Etzel, Mei Liu, Tracy J Costello

Open access · diamondAbstract read
In one paragraph

Article in BMC genetics, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 30% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
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

3 authors at 2 institutions in 1 country.

Carol J EtzelThe Department of Epidemiology, UT MD Anderson Cancer Center, Houston, TX, USA. cetzel@mdanderson.org
Mei Liu
Tracy J Costello
The University of Texas MD Anderson Cancer Center · USThe University of Texas Health Science Center at Houston · US

Funding

Risk models:environment versus metabolic polymorphismsK07CA093592 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI ETZEL, CAROL J · 2003 to 2007
$679k
Multiple Imputation Methods for Missing Genetic DataR03CA110936 · NCI · UNIVERSITY OF TEXAS MD ANDERSON CAN CTR · PI ETZEL, CAROL J · 2004 to 2005
$151k
NCI NIH HHS K07 CA093592NCI NIH HHS K07 CA 093592-02NCI NIH HHS R03 CA110936NCI NIH HHS R25 CA 577730
6 · The paper itself

Abstract

We present a meta-analysis procedure for genome-wide linkage studies (MAGS). The MAGS procedure combines genome-wide linkage results across studies with possibly distinct marker maps. We applied the MAGS procedure to the simulated data from the Genetic Analysis Workshop 14 in order to investigate power to detect linkage to disease genes and power to detect linkage to disease modifier genes while controlling for type I error. We analyzed all 100 replicates of the four simulated studies for chromosomes 1 (disease gene), 2 (modifier gene), 3 (disease gene), 4 (no disease gene), 5 (disease gene), and 10 (modifier gene) with knowledge of the simulated disease gene locations. We found that the procedure correctly identified the disease loci on chromosomes 1, 3, and 5 and did not erroneously identify a linkage signal on chromosome 4. The MAGS procedure provided little to no evidence of linkage to the disease modifier genes on chromosomes 2 and 10.

Indexed as

Genetic LinkageMeta-Analysis as TopicChromosomes, HumanGenome-Wide Association StudyHumans

Identifiers

PMID16451654
PMCPMC1866741
OpenAlexW2096663386

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.