Using MutPred derived mtDNA load scores to evaluate mtDNA variation in hypertension and diabetes in a two-population cohort: The SABPA study
Marianne Venter
1
,
Leoné Malan
2
,
Etresia Van Dyk
1
,
Joanna Elson
3, 4
,
Francois H. van der Westhuizen
1
2
Publication type: Journal Article
Publication date: 2017-03-01
scimago Q1
wos Q1
SJR: 1.882
CiteScore: 9.9
Impact factor: 7.1
ISSN: 16738527, 18735533
PubMed ID:
28298255
Molecular Biology
Genetics
Abstract
Mitochondrial DNA (mtDNA) variation has been implicated in many common complex diseases, but inconsistent and contradicting results are common. Here we introduce a novel mutational load hypothesis, which also considers the collective effect of mainly rare variants, utilising the MutPred Program. We apply this new methodology to investigate the possible role of mtDNA in two cardiovascular disease (CVD) phenotypes (hypertension and hyperglycaemia), within a two-population cohort (n = 363; mean age 45 ± 9 yrs). Very few studies have looked at African mtDNA variation in the context of complex disease, and none using complete sequence data in a well-phenotyped cohort. As such, our study will also extend our knowledge of African mtDNA variation, with complete sequences of Southern Africans being especially under-represented. The cohort showed prevalence rates for hypertension (58.6%) and prediabetes (44.8%). We could not identify a statistically significant role for mtDNA variation in association with hypertension or hyperglycaemia in our cohort. However, we are of the opinion that the method described will find wide application in the field, being especially useful for cohorts from multiple locations or with a variety of mtDNA lineages, where the traditional haplogroup association method has been particularly likely to generate spurious results in the context of association with common complex disease.
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Citations from 2024:
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(11.11%)
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GOST
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Venter M. et al. Using MutPred derived mtDNA load scores to evaluate mtDNA variation in hypertension and diabetes in a two-population cohort: The SABPA study // Journal of Genetics and Genomics. 2017. Vol. 44. No. 3. pp. 139-149.
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Venter M., Malan L., Van Dyk E., Elson J., van der Westhuizen F. H. Using MutPred derived mtDNA load scores to evaluate mtDNA variation in hypertension and diabetes in a two-population cohort: The SABPA study // Journal of Genetics and Genomics. 2017. Vol. 44. No. 3. pp. 139-149.
Cite this
RIS
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TY - JOUR
DO - 10.1016/j.jgg.2016.12.003
UR - https://doi.org/10.1016/j.jgg.2016.12.003
TI - Using MutPred derived mtDNA load scores to evaluate mtDNA variation in hypertension and diabetes in a two-population cohort: The SABPA study
T2 - Journal of Genetics and Genomics
AU - Venter, Marianne
AU - Malan, Leoné
AU - Van Dyk, Etresia
AU - Elson, Joanna
AU - van der Westhuizen, Francois H.
PY - 2017
DA - 2017/03/01
PB - Elsevier
SP - 139-149
IS - 3
VL - 44
PMID - 28298255
SN - 1673-8527
SN - 1873-5533
ER -
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BibTex (up to 50 authors)
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@article{2017_Venter,
author = {Marianne Venter and Leoné Malan and Etresia Van Dyk and Joanna Elson and Francois H. van der Westhuizen},
title = {Using MutPred derived mtDNA load scores to evaluate mtDNA variation in hypertension and diabetes in a two-population cohort: The SABPA study},
journal = {Journal of Genetics and Genomics},
year = {2017},
volume = {44},
publisher = {Elsevier},
month = {mar},
url = {https://doi.org/10.1016/j.jgg.2016.12.003},
number = {3},
pages = {139--149},
doi = {10.1016/j.jgg.2016.12.003}
}
Cite this
MLA
Copy
Venter, Marianne, et al. “Using MutPred derived mtDNA load scores to evaluate mtDNA variation in hypertension and diabetes in a two-population cohort: The SABPA study.” Journal of Genetics and Genomics, vol. 44, no. 3, Mar. 2017, pp. 139-149. https://doi.org/10.1016/j.jgg.2016.12.003.