Genomic scan for maximal oxygen uptake and its response to training in the HERITAGE Family Study
Genomic scan for maximal oxygen uptake and its response to training in the HERITAGE Family Study
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DOI：
10.1152/jappl.2000.88.2.551
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发表时间：
2000-02-01
影响因子：
3.3
通讯作者：
Rao, DC
中科院分区：
文献类型：
--
作者：
Bouchard, C;Rankinen, T;Rao, DC
本研究旨在确定与久坐个体最大摄氧量(V（over dot)O(2)max）或V(over dot)O-2max对标准化耐力训练计划的反应有关的人类基因组区域。基于289个多态标记的基因组扫描结果，涵盖了遗产家族研究中所有22对常染色体的高加索家庭。标记的平均间距为11 cM，共有99个家庭和415对兄弟姐妹可用于研究。久坐状态下的V（过点）O-2max根据年龄、性别、体重、脂肪量和无脂量的影响进行调整，而V（过点）O-2max反应则根据年龄和表型基线水平进行调整。使用了两种分析策略：使用所有可用的兄弟姐妹对的单点链接程序（SIBPAL）和使用所有家庭数据的多点方差成分方法（SEGPATH）。结果表明，训练前4q、8q、11p和14q标记的V（过点）O-2max与20周标准化耐力训练计划后Ip、2p、4q、6p和11p标记的V（过点）O-2max变化的P值为0.01以上。这些染色体区域含有许多基因，这些基因可能符合这些数量性状的候选基因。他们应该在这个群体和其他群体中进行调查。
This study aimed to identify human genomic regions that are linked to maximal oxygen uptake (V(over dot)O(2)max) in sedentary individuals or to the responsiveness of V(over dot)O-2max to a standardized endurance training program. The results of a genomic scan based on 289 polymorphic markers covering all 22 pairs of autosomes performed on the Caucasian families of the HERITAGE Family Study are presented. The mean spacing of the markers was 11 cM, and a total of 99 families and 415 pairs of siblings were available for the study. V(over dot)O-2max in the sedentary state was adjusted for the effects of age, sex, body mass, fat mass, and fat-free mass, whereas the V(over dot)O-2max response was adjusted for age and baseline level of the phenotype. Two analytic strategies were used: a single-point linkage procedure using all available pairs of siblings (SIBPAL) and a multipoint variance components approach using all the family data (SEGPATH). Results indicate that linkages at P values of 0.01 and better are observed with markers on 4q, 8q, 11p, and 14q for V(over dot)O-2max before training and with markers on Ip, 2p, 4q, 6p, and 11p for the change in V(over dot)O-2max,, in response to a 20-wk standardized endurance training program. These chromosomal regions harbor many genes that may qualify as candidate genes for these quantitative traits. They should be investigated in this and other cohorts.