Evidence map›Paper›PMID 20039044›Full record

ArticleMammalian genome : official journal of the International Mammalian Genome Society2010

Whole-genome scan identifies quantitative trait loci for chronic pastern dermatitis in German draft horses.

E Henrike Mittmann, Stefanie Mömke, Ottmar Distl

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Article in Mammalian genome : official journal of the International Mammalian Genome Society, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 22 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 2 institutions in 2 countries.

E Henrike MittmannInstitute of Animal Breeding and Genetics, University of Veterinary Medicine Hannover, Bünteweg 17p, 30559, Hannover, Germany.
Stefanie Mömke
Ottmar Distl
University of Veterinary Medicine Vienna · ATUniversity of Veterinary Medicine Hannover, Foundation · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic pastern dermatitis (CPD), also known as chronic progressive lymphedema (CPL), is a skin disease that affects draft horses. This disease causes painful lower-leg swelling, nodule formation, and skin ulceration, interfering with movement. The aim of this whole-genome scan was to identify quantitative trait loci (QTL) for CPD in German draft horses. We recorded clinical data for CPD in 917 German draft horses and collected blood samples from these horses. Of these 917 horses, 31 paternal half-sib families comprising 378 horses from the breeds Rhenish German, Schleswig, Saxon-Thuringian, and South German were chosen for genotyping. Each half-sib family was constituted by only one draft horse breed. Genotyping was done for 318 polymorphic microsatellites evenly distributed on all equine autosomes and the X chromosome with a mean distance of 7.5 Mb. An across-breed multipoint linkage analysis revealed chromosome-wide significant QTL on horse chromosomes (ECA) 1, 9, 16, and 17. Analyses by breed confirmed the QTL on ECA1 in South German and the QTL on ECA9, 16, and 17 in Saxon-Thuringian draft horses. For the Rhenish German and Schleswig draft horses, additional QTL on ECA4 and 10 and for the South German draft horses an additional QTL on ECA7 were found. This is the first whole-genome scan for CPD in draft horses and it is an important step toward the identification of candidate genes.

Indexed as

AnimalsChromosomes, MammalianChronic DiseaseDermatitisFoot DiseasesGenome-Wide Association StudyGenotypeHorse DiseasesHorsesLod ScoreLymphedemaMicrosatellite RepeatsQuantitative Trait Loci

Identifiers

PMID20039044
OpenAlexW2036213587

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.