Genomic predictors of the maximal O2 uptake response to standardized exercise training programs
Claude Bouchard,Mark A. Sarzynski,Treva Rice,William E. Kraus,Timothy S. Church,Yun Ju Sung,D. C. Rao,Tuomo Rankinen +7 more
TLDR
These genomic predictors of the response of Vo(2max) to regular exercise provide new targets for the study of the biology of fitness and its adaptation to regular Exercise.Abstract:
Low cardiorespiratory fitness is a powerful predictor of morbidity and cardiovascular mortality. In 473 sedentary adults, all whites, from 99 families of the Health, Risk Factors, Exercise Training...read more
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Transcranial Color-Coded Doppler Cerebral Hemodynamics Following Aerobic Exercise Training: Outcomes From a Pilot Randomized Clinical Trial
Carol Mitchell,Julian M. Gaitán,Ryan Pewowaruk,Adam D. Gepner,Timothy Hess,Stephanie M. Wilbrand,Robert J. Dempsey,Ryan J. Dougherty,Dane B. Cook,Ozioma C. Okonkwo +9 more
TL;DR: This study did not demonstrate evidence of a significant change in the MFV in the middle cerebral arteries or evidence of an association between change in VO2peak and change in MFV or PI between UPA and EPA groups.
Journal ArticleDOI
Genes and Athletic Performance: The 2023 Update
TL;DR: The most promising genetic markers include the AMPD1 rs17602729 C, CDKN1A rs236448 A, HFE rs1799945 G, MYBPC3 rs1052373 G, NFIA-AS2 rs1572312 C, PPARA rs4253778 G, and PPARGC1a rs8192678 G alleles for endurance as discussed by the authors .
Dissertation
The Effect of High-intensity Interval Training on Maximal Aerobic Capacity, DNA Methylation and Gene Expression in Healthy Elderly Men
TL;DR: Investigation of whether regular high-intensity interval training can change the DNA methylation in a more long-lasting state and whether these changes affect the gene expression gave reasons to believe that an improvement in VO2max can affect the naturally occurring changes of DNAmethylation in the authors' genome.
Dissertation
Is there utility to genetic information in elite sport
TL;DR: In this article, the authors explored the potential ways in which genetic information may be useful in elite sport, including that of inter-individual variation in response to caffeine supplementation, the use of genetic information to assist in reducing hamstring injuries, and whether genetic information might help identify future elite athletes.
factors risk nonresponse and its relationship to cardiovascular Exercise training and artery function in humans
Dick H. J. Thijssen,Victoria S. Sprung,Tim H. A. Schreuder,Helen Jones,Tim Cable,Ralph R. Scholten,Marc E. A. Spaanderman,Christopher J. A. Pugh,Daniel J. Green,Yvette M. Bouts,Andrew Maiorana +10 more
References
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Teri A. Manolio,Francis S. Collins,Nancy J. Cox,David Goldstein,Lucia A. Hindorff,David J. Hunter,Mark I. McCarthy,Erin M. Ramos,Lon R. Cardon,Aravinda Chakravarti,Judy H. Cho,Alan E. Guttmacher,Augustine Kong,Leonid Kruglyak,Leonid Kruglyak,Elaine R. Mardis,Charles N. Rotimi,Montgomery Slatkin,David Valle,Alice S. Whittemore,Michael Boehnke,Andrew G. Clark,Evan E. Eichler,Greg Gibson,Jonathan L. Haines,Trudy F. C. Mackay,Steven A. McCarroll,Peter M. Visscher +27 more
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Physical Activity And Health: A Report Of The Surgeon General
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Common SNPs explain a large proportion of the heritability for human height
Jian Yang,Beben Benyamin,Brian P. McEvoy,Scott D. Gordon,Anjali K. Henders,Dale R. Nyholt,Pamela A. F. Madden,Andrew C. Heath,Nicholas G. Martin,Grant W. Montgomery,Michael E. Goddard,Peter M. Visscher +11 more
TL;DR: Evidence is provided that the remaining heritability is due to incomplete linkage disequilibrium between causal variants and genotyped SNPs, exacerbated by causal variants having lower minor allele frequency than the SNPs explored to date.
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Changes in Physical Fitness and All-Cause Mortality: A Prospective Study of Healthy and Unhealthy Men
Steven N. Blair,Harold W. Kohl,Carolyn E. Barlow,Ralph S. Paffenbarger,Larry W. Gibbons,Caroline A. Macera +5 more
TL;DR: Men who maintained or improved adequate physical fitness were less likely to die from all causes and from cardiovascular disease during follow-up than persistently unfit men.
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Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis
Benjamin F. Voight,Benjamin F. Voight,Laura J. Scott,Valgerdur Steinthorsdottir,Andrew P. Morris,Christian Dina,Christian Dina,Ryan P. Welch,Eleftheria Zeggini,Eleftheria Zeggini,Cornelia Huth,Yurii S. Aulchenko,Gudmar Thorleifsson,Laura J. McCulloch,Teresa Ferreira,Harald Grallert,Najaf Amin,Guanming Wu,Cristen J. Willer,Soumya Raychaudhuri,Soumya Raychaudhuri,Soumya Raychaudhuri,Steve McCarroll,Steve McCarroll,Claudia Langenberg,Oliver Hofmann,Josée Dupuis,Lu Qi,Lu Qi,Ayellet V. Segrè,Ayellet V. Segrè,Mandy van Hoek,Pau Navarro,Kristin Ardlie,Beverley Balkau,Rafn Benediktsson,Amanda J. Bennett,Roza Blagieva,Eric Boerwinkle,Lori L. Bonnycastle,Kristina Bengtsson Boström,Bert Bravenboer,Suzannah Bumpstead,N P Burtt,Guillaume Charpentier,Peter S. Chines,Marilyn C. Cornelis,David Couper,Gabe Crawford,Alex S. F. Doney,Katherine S. Elliott,Amanda F. Elliott,Amanda F. Elliott,Michael R. Erdos,Caroline S. Fox,Christopher S. Franklin,Martha Ganser,Christian Gieger,Niels Grarup,Todd Green,Todd Green,Simon J. Griffin,Christopher J. Groves,Candace Guiducci,Samy Hadjadj,Neelam Hassanali,Christian Herder,Bo Isomaa,Anne U. Jackson,Paul Johnson,Torben Jørgensen,Torben Jørgensen,Wen H. L. Kao,Norman Klopp,Augustine Kong,Peter Kraft,Johanna Kuusisto,Torsten Lauritzen,Man Li,Aloysius G Lieverse,Cecilia M. Lindgren,Valeriya Lyssenko,Michel Marre,Michel Marre,Thomas Meitinger,Kristian Midthjell,Mario A. Morken,Narisu Narisu,Peter M. Nilsson,Katharine R. Owen,Felicity Payne,John R. B. Perry,Ann-Kristin Petersen,Carl G. P. Platou,Christine Proença,Inga Prokopenko,Inga Prokopenko,Wolfgang Rathmann,N. William Rayner,N. William Rayner,Neil R. Robertson,Neil R. Robertson,Ghislain Rocheleau,Michael Roden,Mike Sampson,Richa Saxena,Richa Saxena,Beverley M. Shields,Peter Shrader,Gunnar Sigurdsson,Thomas Sparsø,Klaus Strassburger,Heather M. Stringham,Qi Sun,Amy J. Swift,Barbara Thorand,Jean Tichet,Tiinamaija Tuomi,Rob M. van Dam,Timon W. van Haeften,Thijs T. W. van Herpt,Jana V. van Vliet-Ostaptchouk,G. Bragi Walters,Michael N. Weedon,Cisca Wijmenga,Jacqueline C. M. Witteman,Richard N. Bergman,Stéphane Cauchi,Francis S. Collins,Anna L. Gloyn,Ulf Gyllensten,Torben Hansen,Winston Hide,Graham A. Hitman,Albert Hofman,David J. Hunter,Kristian Hveem,Markku Laakso,Karen L. Mohlke,Andrew D. Morris,Colin N. A. Palmer,Peter P. Pramstaller,Igor Rudan,Igor Rudan,Eric J.G. Sijbrands,Lincoln Stein,Jaakko Tuomilehto,Jaakko Tuomilehto,André G. Uitterlinden,Mark Walker,Nicholas J. Wareham,Richard M. Watanabe,Gonçalo R. Abecasis,Bernhard O. Boehm,Harry Campbell,Mark J. Daly,Mark J. Daly,Andrew T. Hattersley,Frank B. Hu,Frank B. Hu,James B. Meigs,James S. Pankow,Oluf Pedersen,H-Erich Wichmann,Inês Barroso,Jose C. Florez,Timothy M. Frayling,Leif Groop,Leif Groop,Robert Sladek,Unnur Thorsteinsdottir,Unnur Thorsteinsdottir,James F. Wilson,Thomas Illig,Philippe Froguel,Philippe Froguel,Cornelia M. van Duijn,Kari Stefansson,Kari Stefansson,David Altshuler,Michael Boehnke,Mark I. McCarthy,Mark I. McCarthy,Mark I. McCarthy +183 more
TL;DR: By combining genome-wide association data from 8,130 individuals with type 2 diabetes and 38,987 controls of European descent and following up previously unidentified meta-analysis signals, 12 new T2D association signals are identified with combined P < 5 × 10−8.
Related Papers (5)
Using molecular classification to predict gains in maximal aerobic capacity following endurance exercise training in humans.
James A. Timmons,James A. Timmons,Steen Knudsen,Tuomo Rankinen,Lauren G. Koch,Mark A. Sarzynski,Thomas Jensen,Pernille Keller,Pernille Keller,Camilla Scheele,Camilla Scheele,Niels B. J. Vollaard,Søren Nielsen,Thorbjorn Akerstrom,Ormond A. MacDougald,Eva Jansson,Paul L. Greenhaff,Mark A. Tarnopolsky,Luc J. C. van Loon,Bente Klarlund Pedersen,Carl Johan Sundberg,Claes Wahlestedt,Steven L. Britton,Claude Bouchard +23 more
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