title: Using linkage analysis to identify quantitative trait loci for sleep apnea in relationship to body mass index.
abstract: To understand the genetics of sleep apnea, we evaluated the relationship between the apnea hypopnea index (AHI) and body mass index (BMI) through linkage analysis to identify genetic loci that may influence AHI and BMI jointly and AHI independent of BMI. Haseman-Elston sibling regression was conducted on AHI, AHI adjusted for BMI and BMI in African-American and European-American pedigrees. A comparison of the magnitude of linkage peaks was used to assess the relationship between AHI and BMI. In EAs, the strongest evidence for linkage to AHI was on 6q23-25 and 10q24-q25, both decreasing after BMI adjustment, suggesting loci with pleiotropic effects. Also, a promising area of linkage to AHI but not BMI was observed on 6p11-q11 near the orexin-2 receptor, suggesting BMI independent pathways. In AAs the strongest evidence of linkage for AHI after adjusting for BMI was on chromosome 8p21.3 with linkage increasing after BMI adjustment and on 8q24.1 with linkage decreasing after BMI adjustment. Novel linkage peaks were also observed in AAs to both BMI and AHI on chromosome 13 near the serotonin-2a receptor. These analyses suggest genetic loci for sleep apnea that operate both independently of BMI and through BMI-related pathways.
authors.affiliation: Center for Clinical Investigation, Case Western Reserve University, School of Medicine, Cleveland, OH 44106-6083, USA. Emma.Larkin@case.edu
authors.forename: E K
authors.initials: EK
authors.lastname: Larkin
authors.forename: S R
authors.initials: SR
authors.lastname: Patel
authors.forename: R C
authors.initials: RC
authors.lastname: Elston
authors.forename: C
authors.initials: C
authors.lastname: Gray-McGuire
authors.forename: X
authors.initials: X
authors.lastname: Zhu
authors.forename: S
authors.initials: S
authors.lastname: Redline