Evidence map›Paper›PMID 22373077›Full record

ArticleBMC proceedings2011

Family- and population-based designs identify different rare causal variants.

Xue Zhang, Hua He, Lili Ding, Tesfaye M Baye, Brad G Kurowski, Lisa J Martin

Registry-linked trialAbstract read
In one paragraph

Article in BMC proceedings, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00930280 (Genetic and Environmental Risk Factors for Hemorrhagic Stroke), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

NCT00930280 active not recruitingnot on this map

Genetic and Environmental Risk Factors for Hemorrhagic Stroke

TypeobservationalSponsorUniversity of CincinnatiRan2008 to 2025Enrolled1,260ConditionsStroke
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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.

Xue ZhangDivisions of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229, USA. Lisa.Martin@cchmc.org.
Hua He
Lili Ding
Tesfaye M Baye
Brad G Kurowski
Lisa J Martin

Funding

Rehabilitation Medicine Scientist Training (RMST) ProgramK12HD001097 · NICHD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BONINGER, MICHAEL L. · 1995 to 2016
$14.1M
Admixture mapping in African American Asthmatic ChildrenK01HL103165 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI MERSHA, TESFAYE B. · 2010 to 2014
$648k
NHLBI NIH HHS K01 HL103165NICHD NIH HHS K12 HD001097NICHD NIH HHS L40 HD066480
6 · The paper itself

Abstract

Both family- and population-based samples are used to identify genetic variants associated with phenotypes. Each strategy has demonstrated advantages, but their ability to identify rare variants and genes containing rare variants is unclear. To compare these two study designs in the identification of rare causal variants, we applied various methods to the population- and family-based data simulated by the Genetic Analysis Workshop 17 with knowledge of the simulated model. Our results suggest that different variants can be identified by different study designs. Family-based and population-based study designs can be complementary in the identification of rare causal variants and should be considered in future studies.

Identifiers

PMID22373077
PMCPMC3287872

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Registered trials

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.