Evidence map›Paper›PMID 15059244›Full record

ArticleBMC genetics2004

Increasing incidence of Type 1 diabetes--role for genes?

Janne Pitkäniemi, Päivi Onkamo, Jaakko Tuomilehto, Elja Arjas

Abstract read
In one paragraph

Article in BMC genetics, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

  1. Pooled it
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  11. Noninvasive measurement of plasma glucose from exhaled breath in healthy and type 1 diabetic subjects.American journal of physiology. Endocrinology and metabolism · 2011
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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

4 authors.

Janne PitkäniemiDepartment of Mathematics and Statistics, Rolf Nevanlinna Institute, P,O, Box 4 (Yliopistonkatu 5), FIN-00014 University of Helsinki, Finland. janne.pitkaniemi@ktl.fi
Päivi Onkamo
Jaakko Tuomilehto
Elja Arjas

Funding

EPIDEMIOLOGY OF IDDM AND ITS DETERMINANTS IN FINLANDR01DK037957 · NIDDK · NATIONAL PUBLIC HEALTH INSTITUTE · PI TUOMILEHTO, JAAKKO O · 1987 to 1997
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NIDDK NIH HHS DK37957
6 · The paper itself

Abstract

backgroundThe incidence of Type 1 diabetes (T1DM) is increasing fast in many populations. The reasons for this are not known, although an increase in the penetrance of the diabetes-associated alleles, through changes in the environment, might be the most plausible mechanism. After the introduction of insulin treatment in 1930s, an increase in the pool of genetically susceptible individuals has been suggested to contribute to the increase in the incidence of Type 1 diabetes.

resultsTo explore this hypothesis, the authors formulate a simple population genetic model for the incidence change driven by non-Mendelian transmission of a single susceptibility factor, either allele(s) or haplotype(s). A Poisson mixture model is used to model the observed number of cases. Model parameters were estimated by maximizing the log-likelihood function. Based on the Finnish incidence data 1965-1996 the point estimate of the transmission probability was 0.998. Given our current knowledge of the penetrance of the most diabetic gene variants in the HLA region and their transmission probabilities, this value is exceedingly unrealistic.

conclusionsAs a consequence, non-Mendelian transmission of diabetic allele(s)/haplotype(s) if present, could explain only a small part of the increase in incidence in Finland. Hence, the importance of other, probably environmental factors modifying the disease incidence is emphasized.

Indexed as

Models, GeneticDiabetes Mellitus, Type 1FemaleFinlandGene FrequencyGenetic Predisposition to DiseaseGenotypeHumansIncidenceMalePenetrance

Identifiers

PMID15059244
PMCPMC400729

What OpenQuestion holds

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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.