Evidence map›Paper›PMID 12404181›Full record

ArticleAmerican journal of human genetics2002

Structural analysis of insulin minisatellite alleles reveals unusually large differences in diversity between Africans and non-Africans.

John D H Stead, Alec J Jeffreys

Abstract read
In one paragraph

Article in American journal of human genetics, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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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, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Human-specific tandem repeat expansion and differential gene expression during primate evolution.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  3. Genetic aspects of type 1 diabetes.Annals of pediatric endocrinology & metabolism · 2019
    Article
  4. Article
  5. Article
  6. A fast and specific alignment method for minisatellite maps.Evolutionary bioinformatics online · 2007
    Article
  7. Article
  8. Article
  9. 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

2 authors.

John D H SteadDepartment of Genetics, University of Leicester, United Kingdom.
Alec J Jeffreys

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The insulin minisatellite (INS VNTR) associates with susceptibility to a variety of diseases. We have developed a high-resolution system for analyzing variant repeat distributions applicable to all known minisatellite alleles, irrespective of size, which allows lineages of related alleles to be identified. This system has previously revealed extremely low structural diversity in the minisatellite among northern Europeans from the United Kingdom, with all alleles belonging to one of only three highly diverged lineages called "I," "IIIA," and "IIIB." To explore the origins of this remarkably limited lineage diversity, we have characterized an additional 780 alleles from three non-African and three African populations. In total, 22 highly diverged lineages were identified, with structural intermediates absent from extant populations, suggesting a bottleneck within the ancestry of all humans. The difference between levels of diversity in Africans and non-Africans is unusually large, with all 22 lineages identified in Africa compared with only three lineages seen not only in the United Kingdom but also in the other non-African populations. We also find evidence for overrepresentation of lineage I chromosomes in non-Africans. These data are consistent with a common out-of-Africa origin and an unusually tight bottleneck within the ancestry of all non-African populations, possibly combined with differential and positive selection for lineage I alleles in non-Africans. The important implications of these data for future disease-association studies are discussed.

Indexed as

AllelesGenetics, PopulationAfricaAnimalsBlack PeopleGene FrequencyGenetic VariationHumansInsulinKineticsMinisatellite RepeatsMutationPrimatesUnited KingdomInsulin

Identifiers

PMID12404181
PMCPMC378563

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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.