Literature DB >> 33436758

Examining the effect of mitochondrial DNA variants on blood pressure in two Finnish cohorts.

Jaakko Laaksonen1, Pashupati P Mishra2, Ilkka Seppälä2, Leo-Pekka Lyytikäinen2, Emma Raitoharju2, Nina Mononen2, Maija Lepistö3, Henrikki Almusa3, Pekka Ellonen3, Nina Hutri-Kähönen4, Markus Juonala5,6,7, Olli Raitakari8,9,10, Mika Kähönen11, Jukka T Salonen12,13, Terho Lehtimäki2.   

Abstract

High blood pressure (BP) is a major risk factor for many noncommunicable diseases. The effect of mitochondrial DNA single-nucleotide polymorphisms (mtSNPs) on BP is less known than that of nuclear SNPs. We investigated the mitochondrial genetic determinants of systolic, diastolic, and mean arterial BP. MtSNPs were determined from peripheral blood by sequencing or with genome-wide association study SNP arrays in two independent Finnish cohorts, the Young Finns Study and the Finnish Cardiovascular Study, respectively. In total, over 4200 individuals were included. The effects of individual common mtSNPs, with an additional focus on sex-specificity, and aggregates of rare mtSNPs grouped by mitochondrial genes were evaluated by meta-analysis of linear regression and a sequence kernel association test, respectively. We accounted for the predicted pathogenicity of the rare variants within protein-encoding and the tRNA regions. In the meta-analysis of 87 common mtSNPs, we did not observe significant associations with any of the BP traits. Sex-specific and rare-variant analyses did not pinpoint any significant associations either. Our results are in agreement with several previous studies suggesting that mtDNA variation does not have a significant role in the regulation of BP. Future studies might need to reconsider the mechanisms thought to link mtDNA with hypertension.

Entities:  

Year:  2021        PMID: 33436758      PMCID: PMC7804469          DOI: 10.1038/s41598-020-79931-6

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  49 in total

1.  The effect of phenotypic outliers and non-normality on rare-variant association testing.

Authors:  Paul L Auer; Alex P Reiner; Suzanne M Leal
Journal:  Eur J Hum Genet       Date:  2016-01-06       Impact factor: 4.246

2.  Using MutPred derived mtDNA load scores to evaluate mtDNA variation in hypertension and diabetes in a two-population cohort: The SABPA study.

Authors:  Marianne Venter; Leone Malan; Etresia van Dyk; Joanna L Elson; Francois H van der Westhuizen
Journal:  J Genet Genomics       Date:  2016-12-26       Impact factor: 4.275

Review 3.  New approaches to population stratification in genome-wide association studies.

Authors:  Alkes L Price; Noah A Zaitlen; David Reich; Nick Patterson
Journal:  Nat Rev Genet       Date:  2010-07       Impact factor: 53.242

4.  Comparing phylogeny and the predicted pathogenicity of protein variations reveals equal purifying selection across the global human mtDNA diversity.

Authors:  Luísa Pereira; Pedro Soares; Predrag Radivojac; Biao Li; David C Samuels
Journal:  Am J Hum Genet       Date:  2011-03-31       Impact factor: 11.025

Review 5.  Role of mitochondrial oxidative stress in hypertension.

Authors:  Sergey I Dikalov; Zoltan Ungvari
Journal:  Am J Physiol Heart Circ Physiol       Date:  2013-09-16       Impact factor: 4.733

Review 6.  Main findings from the prospective Cardiovascular Risk in Young Finns Study.

Authors:  Markus Juonala; Jorma S A Viikari; Olli T Raitakari
Journal:  Curr Opin Lipidol       Date:  2013-02       Impact factor: 4.776

7.  No Association between the Mitochondrial Genome and Prostate Cancer Risk: The Multiethnic Cohort.

Authors:  Elena E Giorgi; Yuqing Li; Christian P Caberto; Kenneth B Beckman; Annette Lum-Jones; Christopher A Haiman; Loïc Le Marchand; Daniel O Stram; Richa Saxena; Iona Cheng
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2016-03-28       Impact factor: 4.254

8.  Mitochondrial DNA mutations and cardiovascular disease.

Authors:  Alexander W Bray; Scott W Ballinger
Journal:  Curr Opin Cardiol       Date:  2017-05       Impact factor: 2.161

9.  Predicting the pathogenicity of novel variants in mitochondrial tRNA with MitoTIP.

Authors:  Sanjay Sonney; Jeremy Leipzig; Marie T Lott; Shiping Zhang; Vincent Procaccio; Douglas C Wallace; Neal Sondheimer
Journal:  PLoS Comput Biol       Date:  2017-12-11       Impact factor: 4.475

10.  Comparing the Utility of Mitochondrial and Nuclear DNA to Adjust for Genetic Ancestry in Association Studies.

Authors:  Brendan Miller; Thalida E Arpawong; Henry Jiao; Su-Jeong Kim; Kelvin Yen; Hemal H Mehta; Junxiang Wan; John C Carpten; Pinchas Cohen
Journal:  Cells       Date:  2019-04-03       Impact factor: 6.600

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  2 in total

1.  Mitochondrial genome-wide analysis of nuclear DNA methylation quantitative trait loci.

Authors:  Jaakko Laaksonen; Pashupati P Mishra; Ilkka Seppälä; Emma Raitoharju; Saara Marttila; Nina Mononen; Leo-Pekka Lyytikäinen; Marcus E Kleber; Graciela E Delgado; Maija Lepistö; Henrikki Almusa; Pekka Ellonen; Stefan Lorkowski; Winfried März; Nina Hutri-Kähönen; Olli Raitakari; Mika Kähönen; Jukka T Salonen; Terho Lehtimäki
Journal:  Hum Mol Genet       Date:  2022-05-19       Impact factor: 5.121

Review 2.  How measurements affected by medication use are reported and handled in observational research: A literature review.

Authors:  Jungyeon Choi; Olaf M Dekkers; Saskia le Cessie
Journal:  Pharmacoepidemiol Drug Saf       Date:  2022-05-04       Impact factor: 2.732

  2 in total

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