%0 Journal Article %J Diabetologia %D 2014 %T Sleep duration does not mediate or modify association of common genetic variants with type 2 diabetes. %A Tare, Archana %A Lane, Jacqueline M %A Cade, Brian E %A Grant, Struan F A %A Chen, Ting-Hsu %A Punjabi, Naresh M %A Lauderdale, Diane S %A Zee, Phyllis C %A Gharib, Sina A %A Gottlieb, Daniel J %A Scheer, Frank A J L %A Redline, Susan %A Saxena, Richa %K Blood Glucose %K Body Composition %K Body Mass Index %K Cross-Sectional Studies %K Diabetes Mellitus, Type 2 %K European Continental Ancestry Group %K Fasting %K Female %K Genetic Predisposition to Disease %K Genetic Variation %K Genotype %K Glucose Intolerance %K Glycated Hemoglobin A %K Humans %K Insulin Resistance %K Male %K Middle Aged %K Polymorphism, Single Nucleotide %K Risk Factors %K Sleep %K Surveys and Questionnaires %K Time Factors %K United States %X

AIMS/HYPOTHESIS: Short and long sleep duration are associated with increased risk of type 2 diabetes. We aimed to investigate whether genetic variants for fasting glucose or type 2 diabetes associate with short or long sleep duration and whether sleep duration modifies the association of genetic variants with these traits.

METHODS: We examined the cross-sectional relationship between self-reported habitual sleep duration and prevalence of type 2 diabetes in individuals of European descent participating in five studies included in the Candidate Gene Association Resource (CARe), totalling 1,474 cases and 8,323 controls. We tested for association of 16 fasting glucose-associated variants, 27 type 2 diabetes-associated variants and aggregate genetic risk scores with continuous and dichotomised (≤5 h or ≥9 h) sleep duration using regression models adjusted for age, sex and BMI. Finally, we tested whether a gene × behaviour interaction of variants with sleep duration had an impact on fasting glucose or type 2 diabetes risk.

RESULTS: Short sleep duration was significantly associated with type 2 diabetes in CARe (OR 1.32; 95% CI 1.08, 1.61; p = 0.008). Variants previously associated with fasting glucose or type 2 diabetes and genetic risk scores were not associated with sleep duration. Furthermore, no study-wide significant interaction was observed between sleep duration and these variants on glycaemic traits. Nominal interactions were observed for sleep duration and PPARG rs1801282, CRY2 rs7943320 and HNF1B rs4430796 in influencing risk of type 2 diabetes (p < 0.05).

CONCLUSIONS/INTERPRETATION: Our findings suggest that differences in habitual sleep duration do not mediate or modify the relationship between common variants underlying glycaemic traits (including in circadian rhythm genes) and diabetes.

%B Diabetologia %V 57 %P 339-46 %8 2014 Feb %G eng %N 2 %1 http://www.ncbi.nlm.nih.gov/pubmed/24280871?dopt=Abstract %R 10.1007/s00125-013-3110-y %0 Journal Article %J PLoS Genet %D 2017 %T Single-trait and multi-trait genome-wide association analyses identify novel loci for blood pressure in African-ancestry populations. %A Liang, Jingjing %A Le, Thu H %A Edwards, Digna R Velez %A Tayo, Bamidele O %A Gaulton, Kyle J %A Smith, Jennifer A %A Lu, Yingchang %A Jensen, Richard A %A Chen, Guanjie %A Yanek, Lisa R %A Schwander, Karen %A Tajuddin, Salman M %A Sofer, Tamar %A Kim, Wonji %A Kayima, James %A McKenzie, Colin A %A Fox, Ervin %A Nalls, Michael A %A Young, J Hunter %A Sun, Yan V %A Lane, Jacqueline M %A Cechova, Sylvia %A Zhou, Jie %A Tang, Hua %A Fornage, Myriam %A Musani, Solomon K %A Wang, Heming %A Lee, Juyoung %A Adeyemo, Adebowale %A Dreisbach, Albert W %A Forrester, Terrence %A Chu, Pei-Lun %A Cappola, Anne %A Evans, Michele K %A Morrison, Alanna C %A Martin, Lisa W %A Wiggins, Kerri L %A Hui, Qin %A Zhao, Wei %A Jackson, Rebecca D %A Ware, Erin B %A Faul, Jessica D %A Reiner, Alex P %A Bray, Michael %A Denny, Joshua C %A Mosley, Thomas H %A Palmas, Walter %A Guo, Xiuqing %A Papanicolaou, George J %A Penman, Alan D %A Polak, Joseph F %A Rice, Kenneth %A Taylor, Ken D %A Boerwinkle, Eric %A Bottinger, Erwin P %A Liu, Kiang %A Risch, Neil %A Hunt, Steven C %A Kooperberg, Charles %A Zonderman, Alan B %A Laurie, Cathy C %A Becker, Diane M %A Cai, Jianwen %A Loos, Ruth J F %A Psaty, Bruce M %A Weir, David R %A Kardia, Sharon L R %A Arnett, Donna K %A Won, Sungho %A Edwards, Todd L %A Redline, Susan %A Cooper, Richard S %A Rao, D C %A Rotter, Jerome I %A Rotimi, Charles %A Levy, Daniel %A Chakravarti, Aravinda %A Zhu, Xiaofeng %A Franceschini, Nora %K African Americans %K Animals %K Basic Helix-Loop-Helix Transcription Factors %K Blood Pressure %K Cadherins %K Case-Control Studies %K Female %K Genetic Loci %K Genome-Wide Association Study %K Humans %K Hypertension %K Male %K Membrane Proteins %K Mice %K Multifactorial Inheritance %K Polymorphism, Single Nucleotide %X

Hypertension is a leading cause of global disease, mortality, and disability. While individuals of African descent suffer a disproportionate burden of hypertension and its complications, they have been underrepresented in genetic studies. To identify novel susceptibility loci for blood pressure and hypertension in people of African ancestry, we performed both single and multiple-trait genome-wide association analyses. We analyzed 21 genome-wide association studies comprised of 31,968 individuals of African ancestry, and validated our results with additional 54,395 individuals from multi-ethnic studies. These analyses identified nine loci with eleven independent variants which reached genome-wide significance (P < 1.25×10-8) for either systolic and diastolic blood pressure, hypertension, or for combined traits. Single-trait analyses identified two loci (TARID/TCF21 and LLPH/TMBIM4) and multiple-trait analyses identified one novel locus (FRMD3) for blood pressure. At these three loci, as well as at GRP20/CDH17, associated variants had alleles common only in African-ancestry populations. Functional annotation showed enrichment for genes expressed in immune and kidney cells, as well as in heart and vascular cells/tissues. Experiments driven by these findings and using angiotensin-II induced hypertension in mice showed altered kidney mRNA expression of six genes, suggesting their potential role in hypertension. Our study provides new evidence for genes related to hypertension susceptibility, and the need to study African-ancestry populations in order to identify biologic factors contributing to hypertension.

%B PLoS Genet %V 13 %P e1006728 %8 2017 May %G eng %N 5 %R 10.1371/journal.pgen.1006728 %0 Journal Article %J Am J Respir Cell Mol Biol %D 2018 %T Multiethnic Meta-Analysis Identifies RAI1 as a Possible Obstructive Sleep Apnea-related Quantitative Trait Locus in Men. %A Chen, Han %A Cade, Brian E %A Gleason, Kevin J %A Bjonnes, Andrew C %A Stilp, Adrienne M %A Sofer, Tamar %A Conomos, Matthew P %A Ancoli-Israel, Sonia %A Arens, Raanan %A Azarbarzin, Ali %A Bell, Graeme I %A Below, Jennifer E %A Chun, Sung %A Evans, Daniel S %A Ewert, Ralf %A Frazier-Wood, Alexis C %A Gharib, Sina A %A Haba-Rubio, José %A Hagen, Erika W %A Heinzer, Raphael %A Hillman, David R %A Johnson, W Craig %A Kutalik, Zoltán %A Lane, Jacqueline M %A Larkin, Emma K %A Lee, Seung Ku %A Liang, Jingjing %A Loredo, Jose S %A Mukherjee, Sutapa %A Palmer, Lyle J %A Papanicolaou, George J %A Penzel, Thomas %A Peppard, Paul E %A Post, Wendy S %A Ramos, Alberto R %A Rice, Ken %A Rotter, Jerome I %A Sands, Scott A %A Shah, Neomi A %A Shin, Chol %A Stone, Katie L %A Stubbe, Beate %A Sul, Jae Hoon %A Tafti, Mehdi %A Taylor, Kent D %A Teumer, Alexander %A Thornton, Timothy A %A Tranah, Gregory J %A Wang, Chaolong %A Wang, Heming %A Warby, Simon C %A Wellman, D Andrew %A Zee, Phyllis C %A Hanis, Craig L %A Laurie, Cathy C %A Gottlieb, Daniel J %A Patel, Sanjay R %A Zhu, Xiaofeng %A Sunyaev, Shamil R %A Saxena, Richa %A Lin, Xihong %A Redline, Susan %X

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) 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.

%B Am J Respir Cell Mol Biol %V 58 %P 391-401 %8 2018 Mar %G eng %N 3 %R 10.1165/rcmb.2017-0237OC %0 Journal Article %J Am J Clin Nutr %D 2019 %T Genome-wide association study of breakfast skipping links clock regulation with food timing. %A Dashti, Hassan S %A Merino, Jordi %A Lane, Jacqueline M %A Song, Yanwei %A Smith, Caren E %A Tanaka, Toshiko %A McKeown, Nicola M %A Tucker, Chandler %A Sun, Dianjianyi %A Bartz, Traci M %A Li-Gao, Ruifang %A Nisa, Hoirun %A Reutrakul, Sirimon %A Lemaitre, Rozenn N %A Alshehri, Tahani M %A de Mutsert, Renée %A Bazzano, Lydia %A Qi, Lu %A Knutson, Kristen L %A Psaty, Bruce M %A Mook-Kanamori, Dennis O %A Perica, Vesna Boraska %A Neuhouser, Marian L %A Scheer, Frank A J L %A Rutter, Martin K %A Garaulet, Marta %A Saxena, Richa %X

BACKGROUND: Little is known about the contribution of genetic variation to food timing, and breakfast has been determined to exhibit the most heritable meal timing. As breakfast timing and skipping are not routinely measured in large cohort studies, alternative approaches include analyses of correlated traits.

OBJECTIVES: The aim of this study was to elucidate breakfast skipping genetic variants through a proxy-phenotype genome-wide association study (GWAS) for breakfast cereal skipping, a commonly assessed correlated trait.

METHODS: We leveraged the statistical power of the UK Biobank (n = 193,860) to identify genetic variants related to breakfast cereal skipping as a proxy-phenotype for breakfast skipping and applied several in silico approaches to investigate mechanistic functions and links to traits/diseases. Next, we attempted validation of our approach in smaller breakfast skipping GWAS from the TwinUK (n = 2,006) and the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium (n = 11,963).

RESULTS: In the UK Biobank, we identified 6 independent GWAS variants, including those implicated for caffeine (ARID3B/CYP1A1), carbohydrate metabolism (FGF21), schizophrenia (ZNF804A), and encoding enzymes important for N6-methyladenosine RNA transmethylation (METTL4, YWHAB, and YTHDF3), which regulates the pace of the circadian clock. Expression of identified genes was enriched in the cerebellum. Genome-wide correlation analyses indicated positive correlations with anthropometric traits. Through Mendelian randomization (MR), we observed causal links between genetically determined breakfast skipping and higher body mass index, more depressive symptoms, and smoking. In bidirectional MR, we demonstrated a causal link between being an evening person and skipping breakfast, but not vice versa. We observed association of our signals in an independent breakfast skipping GWAS in another British cohort (P = 0.032), TwinUK, but not in a meta-analysis of non-British cohorts from the CHARGE consortium (P = 0.095).

CONCLUSIONS: Our proxy-phenotype GWAS identified 6 genetic variants for breakfast skipping, linking clock regulation with food timing and suggesting a possible beneficial role of regular breakfast intake as part of a healthy lifestyle.

%B Am J Clin Nutr %8 2019 Jun 13 %G eng %R 10.1093/ajcn/nqz076 %0 Journal Article %J Genome Med %D 2021 %T Whole-genome association analyses of sleep-disordered breathing phenotypes in the NHLBI TOPMed program. %A Cade, Brian E %A Lee, Jiwon %A Sofer, Tamar %A Wang, Heming %A Zhang, Man %A Chen, Han %A Gharib, Sina A %A Gottlieb, Daniel J %A Guo, Xiuqing %A Lane, Jacqueline M %A Liang, Jingjing %A Lin, Xihong %A Mei, Hao %A Patel, Sanjay R %A Purcell, Shaun M %A Saxena, Richa %A Shah, Neomi A %A Evans, Daniel S %A Hanis, Craig L %A Hillman, David R %A Mukherjee, Sutapa %A Palmer, Lyle J %A Stone, Katie L %A Tranah, Gregory J %A Abecasis, Goncalo R %A Boerwinkle, Eric A %A Correa, Adolfo %A Cupples, L Adrienne %A Kaplan, Robert C %A Nickerson, Deborah A %A North, Kari E %A Psaty, Bruce M %A Rotter, Jerome I %A Rich, Stephen S %A Tracy, Russell P %A Vasan, Ramachandran S %A Wilson, James G %A Zhu, Xiaofeng %A Redline, Susan %X

BACKGROUND: Sleep-disordered breathing is a common disorder associated with significant morbidity. The genetic architecture of sleep-disordered breathing remains poorly understood. Through the NHLBI Trans-Omics for Precision Medicine (TOPMed) program, we performed the first whole-genome sequence analysis of sleep-disordered breathing.

METHODS: The study sample was comprised of 7988 individuals of diverse ancestry. Common-variant and pathway analyses included an additional 13,257 individuals. We examined five complementary traits describing different aspects of sleep-disordered breathing: the apnea-hypopnea index, average oxyhemoglobin desaturation per event, average and minimum oxyhemoglobin saturation across the sleep episode, and the percentage of sleep with oxyhemoglobin saturation < 90%. We adjusted for age, sex, BMI, study, and family structure using MMSKAT and EMMAX mixed linear model approaches. Additional bioinformatics analyses were performed with MetaXcan, GIGSEA, and ReMap.

RESULTS: We identified a multi-ethnic set-based rare-variant association (p = 3.48 × 10) on chromosome X with ARMCX3. Additional rare-variant associations include ARMCX3-AS1, MRPS33, and C16orf90. Novel common-variant loci were identified in the NRG1 and SLC45A2 regions, and previously associated loci in the IL18RAP and ATP2B4 regions were associated with novel phenotypes. Transcription factor binding site enrichment identified associations with genes implicated with respiratory and craniofacial traits. Additional analyses identified significantly associated pathways.

CONCLUSIONS: We have identified the first gene-based rare-variant associations with objectively measured sleep-disordered breathing traits. Our results increase the understanding of the genetic architecture of sleep-disordered breathing and highlight associations in genes that modulate lung development, inflammation, respiratory rhythmogenesis, and HIF1A-mediated hypoxic response.

%B Genome Med %V 13 %P 136 %8 2021 08 26 %G eng %N 1 %R 10.1186/s13073-021-00917-8