2016
DOI: 10.1371/journal.pone.0166738
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Genetic Correlation between Body Fat Percentage and Cardiorespiratory Fitness Suggests Common Genetic Etiology

Abstract: ObjectivesIt has long been discussed whether fitness or fatness is a more important determinant of health status. If the same genetic factors that promote body fat percentage (body fat%) are related to cardiorespiratory fitness (CRF), part of the concurrent associations with health outcomes could reflect a common genetic origin. In this study we aimed to 1) examine genetic correlations between body fat% and CRF; 2) determine whether CRF can be attributed to a genetic risk score (GRS) based on known body fat% i… Show more

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Cited by 20 publications
(13 citation statements)
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“…Among the commonly employed criteria used for obesity classification, BMI is cheap and convenient. However, BMI is limited to discriminate between fat mass, lean mass, and fat distribution, as BFP does [ 43 , 44 ]. Especially, BMI tends to underestimate obesity prevalence defined by abnormal or excessive body fat accumulation, particularly in overweight individuals [ 45 47 ].…”
Section: Discussionmentioning
confidence: 99%
“…Among the commonly employed criteria used for obesity classification, BMI is cheap and convenient. However, BMI is limited to discriminate between fat mass, lean mass, and fat distribution, as BFP does [ 43 , 44 ]. Especially, BMI tends to underestimate obesity prevalence defined by abnormal or excessive body fat accumulation, particularly in overweight individuals [ 45 47 ].…”
Section: Discussionmentioning
confidence: 99%
“…When correlated characters have contrasting fitness trajectories in the adaptive landscape, the climb towards the local fitness peak can be restricted, and result in suboptimal fitness of populations (Lande, ). The principles of the multivariate theory of evolution have been successfully applied to many fields, such as animal and plant breeding, multi‐trait artificial selection (Careau, Reale, Humphries, & Thomas, ; Chen et al., ; Kadarmideen, Thompson, Coffey, & Kossaibati, ; Kause, Quinton, Airaksinen, Ruohonen, & Koskela, ; Weigel, VanRaden, Norman, & Grosu, ) and epidemiology (Bulik‐Sullivan et al., ; Gratten & Visscher, ; Hammerschlag et al., ; Lee, Yang, Goddard, Visscher, & Wray, ; Sanchez‐Guillen, Wellenreuther, & Cordero Rivera, ; Schnurr et al., ).…”
Section: Introductionmentioning
confidence: 99%
“…By thus comparing biological siblings in our within-family analysis the shared genetic predisposition for CRF phenotype as well as the shared behavioral and physiological modulating factors of CRF could thus all contribute towards the attenuation. If genetic predisposition for CRF phenotype would also have a bearing on the probability of a CS delivery, for example via maternal obesity 63 , it could be material in explaining our within-family attenuation. E-values for our estimates indicate that an unmeasured confounder that increased the odds of the outcome by 26% in either the exposed or unexposed group, and if that unmeasured confounder was 26% more prevalent among the exposed than the unexposed, would suffice to fully attenuate the association 64 , 65 .…”
Section: Discussionmentioning
confidence: 99%