Evidence map›Paper›PMID 20015383›Full record

ArticleBMC genomics2009

Sequence determinants of human microsatellite variability.

Trevor J Pemberton, Conner I Sandefur, Mattias Jakobsson, Noah A Rosenberg

Abstract read
In one paragraph

Article in BMC genomics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
–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

33 citing papers in PubMed.

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  9. Article
  10. Dot2dot: accurate whole-genome tandem repeats discovery.Bioinformatics (Oxford, England) · 2019
    Article
  11. Article
  12. Article
  13. Characterization of Duck (Frontiers in genetics · 2018
    Article
  14. Linkage disequilibrium matches forensic genetic records to disjoint genomic marker sets.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  15. Article
  16. Article
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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.

Trevor J PembertonDepartment of Human Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA. trevorjp@umich.edu
Conner I Sandefur
Mattias Jakobsson
Noah A Rosenberg

Funding

Population-Genetic Studies for Association MappingR01GM081441 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ROSENBERG, NOAH · 2007 to 2011
$1.7M
NIGMS NIH HHS GM081441NIGMS NIH HHS R01 GM081441
6 · The paper itself

Abstract

backgroundMicrosatellite loci are frequently used in genomic studies of DNA sequence repeats and in population studies of genetic variability. To investigate the effect of sequence properties of microsatellites on their level of variability we have analyzed genotypes at 627 microsatellite loci in 1,048 worldwide individuals from the HGDP-CEPH cell line panel together with the DNA sequences of these microsatellites in the human RefSeq database.

resultsCalibrating PCR fragment lengths in individual genotypes by using the RefSeq sequence enabled us to infer repeat number in the HGDP-CEPH dataset and to calculate the mean number of repeats (as opposed to the mean PCR fragment length), under the assumption that differences in PCR fragment length reflect differences in the numbers of repeats in the embedded repeat sequences. We find the mean and maximum numbers of repeats across individuals to be positively correlated with heterozygosity. The size and composition of the repeat unit of a microsatellite are also important factors in predicting heterozygosity, with tetra-nucleotide repeat units high in G/C content leading to higher heterozygosity. Finally, we find that microsatellites containing more separate sets of repeated motifs generally have higher heterozygosity.

conclusionsThese results suggest that sequence properties of microsatellites have a significant impact in determining the features of human microsatellite variability.

Indexed as

Genetic VariationGenome, HumanMicrosatellite RepeatsGenotypeHeterozygoteHumansSequence Analysis, DNA

Identifiers

PMID20015383
PMCPMC2806349

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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.