Evidence map›Paper›PMID 22118772›Full record

ArticleTrends in genetics : TIG2012

A better prognosis for genetic association studies in mice.

Ming Zheng, David Dill, Gary Peltz

Open access · greenAbstract read
In one paragraph

Article in Trends in genetics : TIG, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 20% 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, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Ming ZhengDepartment of Anesthesia, Stanford University School of Medicine, Stanford, CA 94305, USA.
David Dill
Gary Peltz
Stanford University · US

Funding

Human Pharmacogenetics and Human Liver RegenerationR01DK090992 · NIDDK · STANFORD UNIVERSITY · PI PELTZ, GARY A · 2010 to 2014
$6.4M
NIDDK NIH HHS 1R01DK090992-01NIDDK NIH HHS R01 DK090992
6 · The paper itself

Abstract

Although inbred mouse strains have been the premier model organism used in biomedical research, multiple studies and analyses have indicated that genome-wide association studies (GWAS) cannot be productively performed using inbred mouse strains. However, there is one type of GWAS in mice that has successfully identified the genetic basis for many biomedical traits of interest: haplotype-based computational genetic mapping (HBCGM). Here, we describe how the methodological basis for a HBCGM study significantly differs from that of a conventional murine GWAS, and how an integrative analysis of its output within the context of other 'omic' information can enable genetic discovery. Consideration of these factors will substantially improve the prognosis for the utility of murine genetic association studies for biomedical discovery.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyAnimalsBiomedical ResearchHaplotypesHumansMiceModels, GeneticPrognosis

Identifiers

PMID22118772
PMCPMC3268904
OpenAlexW1988486848

What OpenQuestion holds

Textmetadata
LicenceTDM
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.