HERITABILITY OF SWA

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 慢波活动（SWA），定义为脑电频谱功率在低频率范围内，是最准确的深度或强度的睡眠标记。我们和其他研究人员发现，尽管年轻人和老年人存在显著的个体差异，但SWA具有良好的夜间重现性，这表明SWA可能是一种稳定的定量表型。此外，双胞胎研究表明，慢波睡眠（SWS）是非REM睡眠的最深阶段，是一种高度遗传的特征。我们已经获得了令人兴奋的初步发现，表明SWA可能是糖尿病风险个体差异的预测因子，因此胰腺β细胞补偿不同程度胰岛素抵抗的能力可能依赖于SWA，在连续三个晚上，在不改变总睡眠时间的情况下，实验性抑制SWS与健康年轻人胰岛素敏感性降低和葡萄糖耐量降低有关成年人了因此，我们假设SWA可能是一种高度遗传的特征，可能在糖尿病易感性中发挥作用。具体目标是：1）在最近鉴定的具有超过90个18岁及以上的活着的成员的大家庭中，对睡眠的多个组分（包括SWA）进行表型分析，同时测量葡萄糖耐量，并收集估计睡眠相关表型的遗传力和传播模式所需的临床和谱系/家族信息。2)通过分析这个大家庭中睡眠和代谢表型之间的关系，检查SWA遗传性在糖尿病易感性中的作用。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Slow-wave activity (SWA), defined as electroencephalographic spectral power in the low frequency range, is the most accurate marker of the depth or intensity sleep. We, as well as others, have found an excellent night-to-night reproducibility of SWA despite marked individual differences in young and older adults, suggesting that SWA might be a stable quantitative phenotype Furthermore, twin studies have shown that slow wave sleep (SWS), the deepest stages of non-REM sleep, is a highly heritable characteristic. We have obtained exciting preliminary findings suggesting that SWA may be a predictor of individual differences in diabetic risk, such that the ability of pancreatic beta cells to compensate for various degrees of insulin resistance may be dependent on SWA, and that experimental suppression of SWS without change in total sleep time during three consecutive nights is associated with reduced insulin sensitivity and decreased glucose tolerance in healthy young adults. Therefore, we hypothesize that SWA may be a highly heritable characteristic that could play a role in the predisposition to diabetes. The specific aims are: 1) Phenotype multiple components of sleep, including SWA, simultaneously with measures of glucose tolerance, in a recently identified large family with over 90 living members of age 18 and older, and collect the clinical and pedigree/family information needed to estimate the heritability and mode of transmission of sleep related phenotypes. 2) Examine the role of heritability of SWA in the predisposition to diabetes by conducting analyses examining the relationships between sleep and metabolic phenotypes within this large family.