5 research outputs found
Multiethnic Meta-Analysis Identifies RAI1 as a Possible Obstructive Sleep Apnea-related Quantitative Trait Locus in Men.
Obstructive sleep apnea (OSA) is a common heritable disorder displaying marked sexual dimorphism in disease prevalence and progression. Previous genetic association studies have identified a few genetic loci associated with OSA and related quantitative traits, but they have only focused on single ethnic groups, and a large proportion of the heritability remains unexplained. The apnea-hypopnea index (AHI) is a commonly used quantitative measure characterizing OSA severity. Because OSA differs by sex, and the pathophysiology of obstructive events differ in rapid eye movement (REM) and non-REM (NREM) sleep, we hypothesized that additional genetic association signals would be identified by analyzing the NREM/REM-specific AHI and by conducting sex-specific analyses in multiethnic samples. We performed genome-wide association tests for up to 19,733 participants of African, Asian, European, and Hispanic/Latino American ancestry in 7 studies. We identified rs12936587 on chromosome 17 as a possible quantitative trait locus for NREM AHI in men (N = 6,737; P = 1.7 × 10 <sup>-8</sup> ) but not in women (P = 0.77). The association with NREM AHI was replicated in a physiological research study (N = 67; P = 0.047). This locus overlapping the RAI1 gene and encompassing genes PEMT1, SREBF1, and RASD1 was previously reported to be associated with coronary artery disease, lipid metabolism, and implicated in Potocki-Lupski syndrome and Smith-Magenis syndrome, which are characterized by abnormal sleep phenotypes. We also identified gene-by-sex interactions in suggestive association regions, suggesting that genetic variants for AHI appear to vary by sex, consistent with the clinical observations of strong sexual dimorphism
Han Chinese polycystic ovary syndrome risk variants in women of European ancestry: relationship to FSH levels and glucose tolerance
Gene variants associated with age at menopause are also associated with polycystic ovary syndrome, gonadotrophins and ovarian volume
Impact of Common Diabetes Risk Variant in MTNR1B on Sleep, Circadian, and Melatonin Physiology
The risk of type 2 diabetes (T2D) is increased by abnormalities
in sleep quantity and quality, circadian alignment,
and melatonin regulation. A common genetic variant in a
receptor for the circadian-regulated hormone melatonin
(MTNR1B) is associated with increased fasting blood glucose
and risk of T2D, but whether sleep or circadian disruption
mediates this risk is unknown. We aimed to test if
MTNR1B diabetes risk variant rs10830963 associates with
measures of sleep or circadian physiology in intensive inlaboratory
protocols (n = 58–96) or cross-sectional studies
with sleep quantity and quality and timing measures from
self-report (n = 4,307–10,332), actigraphy (n = 1,513), or
polysomnography (n = 3,021). In the in-laboratory studies,
we found a significant association with a substantially longer
duration of elevated melatonin levels (41 min) and delayed
circadian phase of dim-light melatonin offset (1.37 h),
partially mediated through delayed offset of melatonin
synthesis. Furthermore, increased T2D risk in MTNR1B
risk allele carriers was more pronounced in early risers
versus late risers as determined by 7 days of actigraphy.
Our results provide the surprising insight that the MTNR1B
risk allele influences dynamics of melatonin secretion,
generating a novel hypothesis that the MTNR1B risk allele
may extend the duration of endogenous melatonin production
later into the morning and that early waking may
magnify the diabetes risk conferred by the risk allele
A comprehensive 1000 Genomes-based genome-wide association meta-analysis of coronary artery disease
Existing knowledge of genetic variants affecting risk of coronary artery disease (CAD) is largely based on genome-wide association study (GWAS) analysis of common SNPs. Leveraging phased haplotypes from the 1000 Genomes Project, we report a GWAS meta-analysis of ∼185,000 CAD cases and controls, interrogating 6.7 million common (minor allele frequency (MAF) > 0.05) and 2.7 million low-frequency (0.005 < MAF < 0.05) variants. In addition to confirming most known CAD-associated loci, we identified ten new loci (eight additive and two recessive) that contain candidate causal genes newly implicating biological processes in vessel walls. We observed intralocus allelic heterogeneity but little evidence of low-frequency variants with larger effects and no evidence of synthetic association. Our analysis provides a comprehensive survey of the fine genetic architecture of CAD, showing that genetic susceptibility to this common disease is largely determined by common SNPs of small effect size. © 2015 Nature America, Inc