Evidence map›Paper›PMID 16504993›Full record

ArticleAnnals of the rheumatic diseases2006

Linkage to nodal osteoarthritis: quantitative and qualitative analyses of data from a whole-genome screen identify trait-dependent susceptibility loci.

C Greig, K Spreckley, R Aspinwall, E Gillaspy, M Grant, W Ollier, S John, M Doherty, G Wallis

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In one paragraph

Article in Annals of the rheumatic diseases, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

9 citing papers in PubMed, 25 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Genetics in osteoarthritis.Current genomics · 2008
    Article
  6. Article
  7. [Pathogenesis of osteoarthritis--a snapshot].Zeitschrift fur Rheumatologie · 2007
    Review
  8. Article
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

C GreigThe Wellcome Trust Centre for Cell-Matrix Research, Smith Building, Oxford Road, University of Manchester, Manchester M13 9PT, UK.
K Spreckley
R Aspinwall
E Gillaspy
M Grant
W Ollier
S John
M Doherty
G Wallis
University of Manchester · GBWellcome Centre for Cell-Matrix Research · GBNottingham City Hospital · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

objectiveTo identify susceptibility loci for nodal osteoarthritis.

methodsA genome screen at an average marker spacing of 9.29 cM was carried out on 558 people from 202 families, of whom 491 had nodal osteoarthritis. All genotyped people were graded for the incidence and severity of distal interphalangeal (DIP) nodes, and radiographs from 354 people were graded for joint-space narrowing (JSN) and osteophytes (OSTs). Age-regressed indices for DIP nodes, JSN and OSTs were calculated using these phenotypic data. Affected sibling pair (ASP) and quantitative trait analyses were carried out using MERLIN.

resultsThe data analysis identified suggestive linkage to loci on chromosomes 3 (for JSN and OST), 4 (for JSN), 8 (for DIP), 11 (for radiographic osteoarthritis) and 16 (for JSN). Both the ASP and quantitative analyses identified the loci on chromosomes 4 and 11. The loci on chromosomes 3 and 16 overlap with those previously identified for large-joint osteoarthritis. Of the loci identified by the quantitative analyses with the logarithm of the odds of linkage >1.5, two were linked to more than one trait, whereas nine were linked to single traits: one for DIP, six for JSN and two for OST.

conclusionThe ASP and quantitative analyses of the cohort with nodal osteoarthritis suggest that multiple susceptibility loci for osteoarthritis influence the traits, which combine to form the osteoarthritis phenotype, and that these loci may not act exclusively on the joints of the hand.

Indexed as

Genetic Predisposition to DiseaseQuantitative Trait LociCohort StudiesFemaleFinger JointGenetic LinkageGenome, HumanGenotypeHumansMaleMicrosatellite RepeatsOsteoarthritisPhenotypeRadiographySeverity of Illness Index

Identifiers

PMID16504993
PMCPMC1798305
OpenAlexW2154009351

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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.