SCOR in Neurobiology of Sleep--Intermediate Traits for Sleep Apnea

BACKGROUND:

Sleep apnea is a common condition that affects 4 percent of middle-aged males and 2 percent of middle-aged females. There is recent evidence that there is a genetic influence because first degree relatives of patients with this disorder have an increased risk of having obstructive sleep apnea. The basis for this increased familial risk is undefined. The investigators postulated that there were three specific intermediate traits, each of which reduced upper airway size, thereby increasing the risk of sleep apnea. These intermediate traits included: a) particular distribution of fat in the neck; b) craniofacial structure; and c) size of critical soft tissues in the airway (soft palate, tongue, lateral pharyngeal walls). All of these risk factors could be assessed quantitatively using advanced magnetic resonance imaging and novel volumetric image analysis techniques that had been developed..

The study was one project within a Specialized Center of Research in Neurobiology of Sleep and Sleep Apnea.

DESIGN NARRATIVE:

The case-control study identified the structural risk factors for sleep apnea. The study was complemented by studies in siblings of the patients and controls in order to identify those traits that demonstrated family aggregation not explained by shared environmental factors. The investigators believed that these structural risk factors would interact to increase the risk of sleep apnea. The elucidation of upper airway structural risk factors should provide the basis for developing new, more effective techniques for screening patients for sleep apnea and provide the basis for performing future DNA analyses aimed at identifying the genetic loci for these risk factors.

The specific aims were: 1) to quantify upper airway craniofacial structure, soft tissues and regional fat deposition using three dimensional magnetic resonance imaging in order to determine the intermediate traits associated with obstructive sleep apnea utilizing a case control design in normals and apneics; and 2) to determine the upper airway structural risk factors for sleep apnea that demonstrated family aggregation and were most likely to have a genetic component by comparing probands, siblings of probands, neighborhood controls and siblings of neighborhood controls. The resources included an extensive clinical sleep practice, sophisticated NM imaging techniques, novel volumetric computer graphics image analysis and expertise in molecular epidemiology, craniofacial structure, and the genetics of obesity.

No eligibility criteria