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Sequence determinants of human microsatellite variability
BACKGROUND: Microsatellite 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...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2806349/ https://www.ncbi.nlm.nih.gov/pubmed/20015383 http://dx.doi.org/10.1186/1471-2164-10-612 |
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author | Pemberton, Trevor J Sandefur, Conner I Jakobsson, Mattias Rosenberg, Noah A |
author_facet | Pemberton, Trevor J Sandefur, Conner I Jakobsson, Mattias Rosenberg, Noah A |
author_sort | Pemberton, Trevor J |
collection | PubMed |
description | BACKGROUND: Microsatellite 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. RESULTS: Calibrating 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. CONCLUSIONS: These results suggest that sequence properties of microsatellites have a significant impact in determining the features of human microsatellite variability. |
format | Text |
id | pubmed-2806349 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-28063492010-01-14 Sequence determinants of human microsatellite variability Pemberton, Trevor J Sandefur, Conner I Jakobsson, Mattias Rosenberg, Noah A BMC Genomics Research article BACKGROUND: Microsatellite 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. RESULTS: Calibrating 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. CONCLUSIONS: These results suggest that sequence properties of microsatellites have a significant impact in determining the features of human microsatellite variability. BioMed Central 2009-12-16 /pmc/articles/PMC2806349/ /pubmed/20015383 http://dx.doi.org/10.1186/1471-2164-10-612 Text en Copyright ©2009 Pemberton et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research article Pemberton, Trevor J Sandefur, Conner I Jakobsson, Mattias Rosenberg, Noah A Sequence determinants of human microsatellite variability |
title | Sequence determinants of human microsatellite variability |
title_full | Sequence determinants of human microsatellite variability |
title_fullStr | Sequence determinants of human microsatellite variability |
title_full_unstemmed | Sequence determinants of human microsatellite variability |
title_short | Sequence determinants of human microsatellite variability |
title_sort | sequence determinants of human microsatellite variability |
topic | Research article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2806349/ https://www.ncbi.nlm.nih.gov/pubmed/20015383 http://dx.doi.org/10.1186/1471-2164-10-612 |
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