Literature DB >> 18754839

Using linkage analysis to identify quantitative trait loci for sleep apnea in relationship to body mass index.

E K Larkin1, S R Patel, R C Elston, C Gray-McGuire, X Zhu, S Redline.   

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.

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Year:  2008        PMID: 18754839      PMCID: PMC2677984          DOI: 10.1111/j.1469-1809.2008.00472.x

Source DB:  PubMed          Journal:  Ann Hum Genet        ISSN: 0003-4800            Impact factor:   1.670


  74 in total

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Review 2.  Regression models for linkage: issues of traits, covariates, heterogeneity, and interaction.

Authors:  Daniel J Schaid; Jane M Olson; W James Gauderman; Robert C Elston
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  9 in total

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Journal:  Am J Respir Crit Care Med       Date:  2010-06-10       Impact factor: 21.405

2.  Genetic underpinnings of obstructive sleep apnea: are we making progress?

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Journal:  Sleep       Date:  2011-11-01       Impact factor: 5.849

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Authors:  Yu Liu; Sanjay Patel; Rod Nibbe; Sean Maxwell; Salim A Chowdhury; Mehmet Koyuturk; Xiaofeng Zhu; Emma K Larkin; Sarah G Buxbaum; Naresh M Punjabi; Sina A Gharib; Susan Redline; Mark R Chance
Journal:  Pac Symp Biocomput       Date:  2011

4.  Genome-wide linkage of obstructive sleep apnoea and high-density lipoprotein cholesterol in a Filipino family: bivariate linkage analysis of obstructive sleep apnoea.

Authors:  Bronwyn L Relf; Emma K Larkin; Carina De Torres; Louise A Baur; John Christodoulou; Karen A Waters
Journal:  J Sleep Res       Date:  2010-02-10       Impact factor: 3.981

Review 5.  The genetics of obstructive sleep apnoea.

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6.  Comparison of Heritability Estimation and Linkage Analysis for Multiple Traits Using Principal Component Analyses.

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7.  The CC genotype of the delta-sarcoglycan gene polymorphism rs13170573 is associated with obstructive sleep apnea in the Chinese population.

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8.  Exome-Wide Meta-Analysis Identifies Rare 3'-UTR Variant in ERCC1/CD3EAP Associated with Symptoms of Sleep Apnea.

Authors:  Ashley van der Spek; Annemarie I Luik; Desana Kocevska; Chunyu Liu; Rutger W W Brouwer; Jeroen G J van Rooij; Mirjam C G N van den Hout; Robert Kraaij; Albert Hofman; André G Uitterlinden; Wilfred F J van IJcken; Daniel J Gottlieb; Henning Tiemeier; Cornelia M van Duijn; Najaf Amin
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9.  Hypersomnolence and sleep-related complaints in metropolitan, urban, and rural Georgia.

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  9 in total

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