Heritability of Abnormalities in Cardiopulmonary Coupling in Sleep Apnea: Use of an Electrocardiogram-based Technique | Zendy

Lamia H. Ibrahim | Zendy; Frank J. Jacono | Zendy; Sanjay R. Patel | Zendy; Robert J. Thomas | Zendy; Emma K. Larkin | Zendy; Joseph E. Mietus | Zendy; ChungKang Peng | Zendy; Ary L. Goldberger | Zendy; Susan Redline | Zendy

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Heritability of Abnormalities in Cardiopulmonary Coupling in Sleep Apnea: Use of an Electrocardiogram-based Technique

Author(s) -

Lamia H. Ibrahim,

Frank J. Jacono,

Sanjay R. Patel,

Robert J. Thomas,

Emma K. Larkin,

Joseph E. Mietus,

ChungKang Peng,

Ary L. Goldberger,

Susan Redline

Publication year - 2010

Publication title -

sleep

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.222

H-Index - 207

eISSN - 1550-9109

pISSN - 0161-8105

DOI - 10.1093/sleep/33.5.643

Subject(s) - polysomnography , cardiology , medicine , obstructive sleep apnea , heart rate variability , heritability , apnea , sleep apnea , electrocardiography , anesthesia , heart rate , audiology , blood pressure , biology , genetics

Studies of the genetics of obstructive sleep apnea may be facilitated by identifying intermediate traits with high heritability that quantify etiological pathways, such as those related to respiratory control. Electrocardiogram (ECG)-based sleep spectrograms, measuring the coupling between respiratory modulation of ECG QRS-wave amplitude and heart rate variability, may provide measures of sleep state and ventilatory dynamics during sleep. We evaluated the familial aggregation of distinctive spectrographic biomarkers of unstable sleep, related to elevated-low frequency cardiopulmonary coupling (e-LFC), to assess their utility in genetic studies.

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