Literature DB >> 22174390

Heritability of submaximal exercise heart rate response to exercise training is accounted for by nine SNPs.

Tuomo Rankinen1, Yun Ju Sung, Mark A Sarzynski, Treva K Rice, D C Rao, Claude Bouchard.   

Abstract

Endurance training-induced changes in hemodynamic traits are heritable. However, few genes associated with heart rate training responses have been identified. The purpose of our study was to perform a genome-wide association study to uncover DNA sequence variants associated with submaximal exercise heart rate training responses in the HERITAGE Family Study. Heart rate was measured during steady-state exercise at 50 W (HR50) on 2 separate days before and after a 20-wk endurance training program in 483 white subjects from 99 families. Illumina HumanCNV370-Quad v3.0 BeadChips were genotyped using the Illumina BeadStation 500GX platform. After quality control procedures, 320,000 single-nucleotide polymorphisms (SNPs) were available for the genome-wide association study analyses, which were performed using the MERLIN software package (single-SNP analyses and conditional heritability tests) and standard regression models (multivariate analyses). The strongest associations for HR50 training response adjusted for age, sex, body mass index, and baseline HR50 were detected with SNPs at the YWHAQ locus on chromosome 2p25 (P = 8.1 × 10(-7)), the RBPMS locus on chromosome 8p12 (P = 3.8 × 10(-6)), and the CREB1 locus on chromosome 2q34 (P = 1.6 × 10(-5)). In addition, 37 other SNPs showed P values <9.9 × 10(-5). After removal of redundant SNPs, the 10 most significant SNPs explained 35.9% of the ΔHR50 variance in a multivariate regression model. Conditional heritability tests showed that nine of these SNPs (all intragenic) accounted for 100% of the ΔHR50 heritability. Our results indicate that SNPs in nine genes related to cardiomyocyte and neuronal functions, as well as cardiac memory formation, fully account for the heritability of the submaximal heart rate training response.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 22174390      PMCID: PMC3311659          DOI: 10.1152/japplphysiol.01287.2011

Source DB:  PubMed          Journal:  J Appl Physiol (1985)        ISSN: 0161-7567


  37 in total

1.  Experimental atherosclerosis at the carotid bifurcation of the cynomolgus monkey. Localization, compensatory enlargement, and the sparing effect of lowered heart rate.

Authors:  P A Beere; S Glagov; C K Zarins
Journal:  Arterioscler Thromb       Date:  1992-11

2.  PHF2, a novel PHD finger gene located on human chromosome 9q22.

Authors:  K Hasenpusch-Theil; B P Chadwick; T Theil; S K Heath; D G Wilkinson; A M Frischauf
Journal:  Mamm Genome       Date:  1999-03       Impact factor: 2.957

Review 3.  Cardiac memory: mechanisms and clinical implications.

Authors:  Kornelis W Patberg; Alexei Shvilkin; Alexei N Plotnikov; Parag Chandra; Mark E Josephson; Michael R Rosen
Journal:  Heart Rhythm       Date:  2005-12       Impact factor: 6.343

4.  Inhibitory interaction of the plasma membrane Na+/Ca2+ exchangers with the 14-3-3 proteins.

Authors:  Maria V Pulina; Rosario Rizzuto; Marisa Brini; Ernesto Carafoli
Journal:  J Biol Chem       Date:  2006-05-05       Impact factor: 5.157

5.  14-3-3 is a regulator of the cardiac voltage-gated sodium channel Nav1.5.

Authors:  Marie Allouis; Françoise Le Bouffant; Ronald Wilders; David Péroz; Jean-Jacques Schott; Jacques Noireaud; Hervé Le Marec; Jean Mérot; Denis Escande; Isabelle Baró
Journal:  Circ Res       Date:  2006-05-25       Impact factor: 17.367

Review 6.  Cardiac memory ... new insights into molecular mechanisms.

Authors:  Michael R Rosen; Ira S Cohen
Journal:  J Physiol       Date:  2005-11-10       Impact factor: 5.182

7.  Drosophila couch potato mutants exhibit complex neurological abnormalities including epilepsy phenotypes.

Authors:  Edward Glasscock; Mark A Tanouye
Journal:  Genetics       Date:  2005-01-31       Impact factor: 4.562

8.  A protein-protein interaction network for human inherited ataxias and disorders of Purkinje cell degeneration.

Authors:  Janghoo Lim; Tong Hao; Chad Shaw; Akash J Patel; Gábor Szabó; Jean-François Rual; C Joseph Fisk; Ning Li; Alex Smolyar; David E Hill; Albert-László Barabási; Marc Vidal; Huda Y Zoghbi
Journal:  Cell       Date:  2006-05-19       Impact factor: 41.582

9.  Reproducibility of cardiovascular, respiratory, and metabolic responses to submaximal exercise: the HERITAGE Family Study.

Authors:  J H Wilmore; P R Stanforth; K R Turley; J Gagnon; E W Daw; A S Leon; D C Rao; J S Skinner; C Bouchard
Journal:  Med Sci Sports Exerc       Date:  1998-02       Impact factor: 5.411

10.  TFEC, a basic helix-loop-helix protein, forms heterodimers with TFE3 and inhibits TFE3-dependent transcription activation.

Authors:  G Q Zhao; Q Zhao; X Zhou; M G Mattei; B de Crombrugghe
Journal:  Mol Cell Biol       Date:  1993-08       Impact factor: 4.272

View more
  23 in total

1.  Learning one's genetic risk changes physiology independent of actual genetic risk.

Authors:  Bradley P Turnwald; J Parker Goyer; Danielle Z Boles; Amy Silder; Scott L Delp; Alia J Crum
Journal:  Nat Hum Behav       Date:  2018-12-10

2.  Genetic variation in alpha2-adrenoreceptors and heart rate recovery after exercise.

Authors:  Utkarsh Kohli; André Diedrich; Prince J Kannankeril; Mordechai Muszkat; Gbenga G Sofowora; Maureen K Hahn; Brett A English; Randy D Blakely; C Michael Stein; Daniel Kurnik
Journal:  Physiol Genomics       Date:  2015-06-09       Impact factor: 3.107

3.  The AGT Gene M235T Polymorphism and Response of Power-Related Variables to Aerobic Training.

Authors:  Zarębska Aleksandra; Jastrzębski Zbigniew; Moska Waldemar; Leońska-Duniec Agata; Kaczmarczyk Mariusz; Sawczuk Marek; Maciejewska-Skrendo Agnieszka; Żmijewski Piotr; Ficek Krzysztof; Trybek Grzegorz; Lulińska-Kuklik Ewelina; Ekaterina A Semenova; Ildus I Ahmetov; Cięszczyk Paweł
Journal:  J Sports Sci Med       Date:  2016-12-01       Impact factor: 2.988

4.  High responders and low responders: factors associated with individual variation in response to standardized training.

Authors:  Theresa N Mann; Robert P Lamberts; Michael I Lambert
Journal:  Sports Med       Date:  2014-08       Impact factor: 11.136

5.  Genetic polymorphisms to predict gains in maximal O2 uptake and knee peak torque after a high intensity training program in humans.

Authors:  Jinho Yoo; Bo-Hyung Kim; Soo-Hwan Kim; Yangseok Kim; Sung-Vin Yim
Journal:  Eur J Appl Physiol       Date:  2016-03-21       Impact factor: 3.078

Review 6.  Exploring the Activities of RBPMS Proteins in Myocardial Biology.

Authors:  Alexander A Akerberg; Caroline E Burns; C Geoffrey Burns
Journal:  Pediatr Cardiol       Date:  2019-08-09       Impact factor: 1.655

7.  Physiological and exercise capacity improvements in women completing cardiac rehabilitation.

Authors:  Theresa M Beckie; Jason W Beckstead; Kevin Kip; Gerald Fletcher
Journal:  J Cardiopulm Rehabil Prev       Date:  2013 Jan-Feb       Impact factor: 2.081

Review 8.  Advances in exercise, fitness, and performance genomics in 2012.

Authors:  Louis Pérusse; Tuomo Rankinen; James M Hagberg; Ruth J F Loos; Stephen M Roth; Mark A Sarzynski; Bernd Wolfarth; Claude Bouchard
Journal:  Med Sci Sports Exerc       Date:  2013-05       Impact factor: 5.411

Review 9.  Hypertension and aging.

Authors:  Thomas W Buford
Journal:  Ageing Res Rev       Date:  2016-02-01       Impact factor: 10.895

10.  The anatomical distribution of genetic associations.

Authors:  Alan Wells; Nathan Kopp; Xiaoxiao Xu; David R O'Brien; Wei Yang; Arye Nehorai; Tracy L Adair-Kirk; Raphael Kopan; J D Dougherty
Journal:  Nucleic Acids Res       Date:  2015-11-19       Impact factor: 16.971

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.