Evidence map›Paper›PMID 7977386›Full record

ArticleAmerican journal of human genetics1994

Multiple DNA variant association analysis: application to the insulin gene region in type I diabetes.

C Julier, A Lucassen, P Villedieu, M Delepine, C Levy-Marchal, P M Danzé, F Bianchi, C Boitard, P Froguel, J Bell

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In one paragraph

Article in American journal of human genetics, 1994. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.0field-weighted citation impact, top 5% 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

13 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Genetics of type 1 diabetes mellitus.Genes and immunity · 2002
    Review
  6. Article
  7. Article
  8. Article
  9. Genetic predisposition to IDDM.Clinical reviews in allergy & immunology · 2000
    Review
  10. Article
  11. Review
  12. Article
  13. Genetic analysis of type 1 diabetes using whole genome approaches.Proceedings of the National Academy of Sciences of the United States of America · 1995
    Review
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

10 authors at 1 institution in 1 country.

C JulierINSERM U358, Hôpital Robert Debré, Paris.
A Lucassen
P Villedieu
M Delepine
C Levy-Marchal
P M Danzé
F Bianchi
C Boitard
P Froguel
J Bell
Inserm · FR

Funding

Wellcome Trust
6 · The paper itself

Abstract

Association and linkage studies have shown that at least one of the genetic factors involved in susceptibility to insulin-dependent diabetes mellitus (IDDM) is contained within a 4.1-kb region of the insulin gene. Sequence analysis has led to the identification of 10 DNA variants in this region that are associated with increased risk for IDDM. These variants are in strong linkage disequilibrium with each other, and previous studies have failed to distinguish between the variant(s) that cause increased susceptibility to IDDM and others that are associated with the disease because of linkage disequilibrium. To address this problem, we have undertaken a large population study of French diabetics and controls and have analyzed genotype patterns for several of the variant sites simultaneously. This has led to the identification of a subset consisting of four variants (-2733AC, -23HphI, -365VNTR, and +1140AC), at least one of which appears to be directly implicated in disease susceptibility. The multiple-DNA-variant association-analysis approach that is applied here to the problem of identifying potential susceptibility variants in IDDM is likely to be important in studies of many other multifactorial diseases.

Indexed as

Genetic VariationDiabetes Mellitus, Type 1Disease SusceptibilityFranceHumansInsulinMolecular EpidemiologyInsulin

Identifiers

PMID7977386
PMCPMC1918440
OpenAlexW1512638398

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.