Evidence map›Paper›PMID 18839415›Full record

ArticleGenetic epidemiology2009

A multiple splitting approach to linkage analysis in large pedigrees identifies a linkage to asthma on chromosome 12.

Céline Bellenguez, Carole Ober, Catherine Bourgain

Abstract read
In one paragraph

Article in Genetic epidemiology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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.

Céline BellenguezUniv Paris Sud, UMR_S535, Villejuif, France. celine.bellenguez@inserm.fr
Carole Ober
Catherine Bourgain

Funding

ZOLEDRONATE &OSTEOPOROTIC EFFECTS OF ANDROGEN DEPRIVATIM01RR000055 · NCRR · UNIVERSITY OF CHICAGO · PI DE WIT, HARRIET · 1985 to 2007
$19.0M
T CELL CO-STIMULATION IN ALLERGIC ASTHMAP50HL056399 · NHLBI · UNIVERSITY OF CHICAGO · PI WHITE, STEVEN R · 1996 to 2005
$9.1M
Sex-Specific Genetic Architecture of Asthma-Associated Quantitative TraitsR01HL085197 · NHLBI · UNIVERSITY OF CHICAGO · PI OBER, CAROLE · 2007 to 2015
$7.6M
LINKAGE STUDIES OF ASTHMA--SEARCH FOR SUSCEPTIBILITY LOCU01HL049596 · NHLBI · UNIVERSITY OF CHICAGO · PI OBER, CAROLE · 1992 to 2001
$1.6M
NCRR NIH HHS M01 RR000055NCRR NIH HHS M01 RR00055NHLBI NIH HHS HL56399NHLBI NIH HHS HL85197NHLBI NIH HHS P50 HL056399NHLBI NIH HHS R01 HL085197NHLBI NIH HHS U01 HL049596
6 · The paper itself

Abstract

Large genealogies are potentially very informative for linkage analysis. However, the software available for exact non-parametric multipoint linkage analysis is limited with respect to the complexity of the families it can handle. A solution is to split the large pedigrees into sub-families meeting complexity constraints. Different methods have been proposed to "best" split large genealogies. Here, we propose a new procedure in which linkage is performed on several carefully chosen sub-pedigree sets from the genealogy instead of using just a single sub-pedigree set. Our multiple splitting procedure capitalizes on the sensitivity of linkage results to family structure and has been designed to control computational feasibility and global type I error. We describe and apply this procedure to the extreme case of the highly complex Hutterite pedigree and use it to perform a genome-wide linkage analysis on asthma. The detection of a genome-wide significant linkage for asthma on chromosome 12q21 illustrates the potential of this multiple splitting approach.

Indexed as

Genetic LinkagePedigreeAsthmaChromosomes, Human, Pair 12Computational BiologyHumans

Identifiers

PMID18839415
PMCPMC4300518

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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.