Evidence map›Paper›PMID 9541102›Full record

ArticleJournal of medical genetics1998

Genetic heterogeneity and HOMOG analysis in British malignant hyperthermia families.

R Robinson, J L Curran, W J Hall, P J Halsall, P M Hopkins, A F Markham, A D Stewart, S P West, F R Ellis

Open access · bronzeAbstract read
In one paragraph

Article in Journal of medical genetics, 1998. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

3 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Article
  3. Functional analysis ofTemperature (Austin, Tex.)
    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

9 authors at 1 institution in 1 country.

R RobinsonDepartment of Genetics, The University, Leeds, UK.
J L Curran
W J Hall
P J Halsall
P M Hopkins
A F Markham
A D Stewart
S P West
F R Ellis
University of Leeds · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

Malignant hyperthermia (MH) is an autosomal dominant genetic condition that presents in susceptible people undergoing general anaesthesia. The clinical disorder is a major cause of anaesthetic morbidity and mortality. The UK Malignant Hyperthermia Group has performed genetic linkage analysis on 20 large, well defined malignant hyperthermia families, using hypervariable markers on chromosome 19q13.1, including the candidate MH gene RYR1, the gene coding for the skeletal muscle ryanodine receptor protein. The results were analysed using LINKAGE to perform two point and multipoint lod scores, then HOMOG to calculate levels of heterogeneity. The results clearly showed genetic heterogeneity between MH families; nine of the families gave results entirely consistent with linkage to the region around RYR1 while the same region was clearly excluded in three families. In the remaining eight MHS families there were single recombinant events between RYR1 and MH susceptibility. HOMOG analysis was of little added benefit in determining the likelihood of linkage to RYR1 in these families. This confirmation of the presence of heterogeneity in the UK MH population, along with the possibility of the presence of two MH genes in some pedigrees, indicates that it would be premature and potentially dangerous to offer diagnosis of MH by DNA based methods at this time.

Indexed as

Genetic HeterogeneityGenetic LinkageChromosomes, Human, Pair 19FemaleGenetic Predisposition to DiseaseHumansLod ScoreMaleMalignant HyperthermiaMutationPedigreeRyanodine Receptor Calcium Release ChannelSoftwareUnited KingdomRyanodine Receptor Calcium Release Channel

Identifiers

PMID9541102
PMCPMC1051241
OpenAlexW2166746083

What OpenQuestion holds

Textmetadata
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.