Sleep and Breathing

, Volume 16, Issue 1, pp 205–215

Cohort profile: the Western Australian Sleep Health Study

  • Sutapa Mukherjee
  • David Hillman
  • Jessica Lee
  • Annette Fedson
  • Laila Simpson
  • Kim Ward
  • Gregory Love
  • Cass Edwards
  • Bernadett Szegner
  • Lyle John Palmer
Original Article

DOI: 10.1007/s11325-011-0491-3

Cite this article as:
Mukherjee, S., Hillman, D., Lee, J. et al. Sleep Breath (2012) 16: 205. doi:10.1007/s11325-011-0491-3

Abstract

Background

Epidemiologic and genetic studies of obstructive sleep apnoea (OSA) are limited by a lack of large-scale, well-characterized OSA cohorts. These studies require large sample size to provide adequate power to detect differences between groups. This study describes the development of such a cohort (The Western Australian Sleep Health Study) in OSA patients of Caucasian–European origin attending the only public sleep clinic in Western Australia (WA).

Aims

The main aim of the study is to phenotype 4,000 OSA patients in order to define the genetics of OSA and its co-morbidities.

Methods

Almost all underwent laboratory-based attended polysomnography (PSG).

Results

Currently complete data (questionnaire, biochemistry, DNA, and PSG) has been obtained on over 3,000 individuals and will reach the target of 4,000 individuals by the end of 2010. In a separate but related study, we have developed a sleep study database containing data from all patients who have undergone PSG at the sleep laboratory since its inception in 1988 until the present day (over 30,000 PSG studies representing data from approximately 20,000 individuals). In addition, data from both cohorts have been linked prospectively to statutory health data collected by the WA Department of Health.

Conclusion

This study will be the largest sleep clinic cohort database internationally with access to genetic and epidemiological data. It is unique among sleep clinic cohorts because of its size, the breadth of data collected and the ability to link prospectively to statutory health data. It will be a major tool to comprehensively assess genetic and epidemiologic factors determining OSA and its co-morbidities.

Keywords

Sleep apneaGeneticsEpidemiologyLinked health dataWestern Australian Sleep Health StudyPolysomnography

Copyright information

© Springer-Verlag 2011

Authors and Affiliations

  • Sutapa Mukherjee
    • 1
    • 2
    • 3
  • David Hillman
    • 1
    • 2
  • Jessica Lee
    • 3
  • Annette Fedson
    • 3
  • Laila Simpson
    • 3
  • Kim Ward
    • 3
  • Gregory Love
    • 2
  • Cass Edwards
    • 3
  • Bernadett Szegner
    • 1
    • 3
  • Lyle John Palmer
    • 3
    • 4
  1. 1.Western Australian Sleep Disorders Research InstitutePerthAustralia
  2. 2.Sir Charles Gairdner HospitalPerthAustralia
  3. 3.Centre for Genetic Epidemiology and BiostatisticsUniversity of Western AustraliaPerthAustralia
  4. 4.Ontario Institute for Cancer ResearchTorontoCanada