TY - JOUR T1 - Habitual sleep duration is associated with BMI and macronutrient intake and may be modified by CLOCK genetic variants. JF - Am J Clin Nutr Y1 - 2015 A1 - Dashti, Hassan S A1 - Follis, Jack L A1 - Smith, Caren E A1 - Tanaka, Toshiko A1 - Cade, Brian E A1 - Gottlieb, Daniel J A1 - Hruby, Adela A1 - Jacques, Paul F A1 - Lamon-Fava, Stefania A1 - Richardson, Kris A1 - Saxena, Richa A1 - Scheer, Frank A J L A1 - Kovanen, Leena A1 - Bartz, Traci M A1 - Perälä, Mia-Maria A1 - Jonsson, Anna A1 - Frazier-Wood, Alexis C A1 - Kalafati, Ioanna-Panagiota A1 - Mikkilä, Vera A1 - Partonen, Timo A1 - Lemaitre, Rozenn N A1 - Lahti, Jari A1 - Hernandez, Dena G A1 - Toft, Ulla A1 - Johnson, W Craig A1 - Kanoni, Stavroula A1 - Raitakari, Olli T A1 - Perola, Markus A1 - Psaty, Bruce M A1 - Ferrucci, Luigi A1 - Grarup, Niels A1 - Highland, Heather M A1 - Rallidis, Loukianos A1 - Kähönen, Mika A1 - Havulinna, Aki S A1 - Siscovick, David S A1 - Räikkönen, Katri A1 - Jørgensen, Torben A1 - Rotter, Jerome I A1 - Deloukas, Panos A1 - Viikari, Jorma S A A1 - Mozaffarian, Dariush A1 - Linneberg, Allan A1 - Seppälä, Ilkka A1 - Hansen, Torben A1 - Salomaa, Veikko A1 - Gharib, Sina A A1 - Eriksson, Johan G A1 - Bandinelli, Stefania A1 - Pedersen, Oluf A1 - Rich, Stephen S A1 - Dedoussis, George A1 - Lehtimäki, Terho A1 - Ordovas, Jose M KW - Adult KW - Body Mass Index KW - CLOCK Proteins KW - Cohort Studies KW - Cross-Sectional Studies KW - Diet KW - Dietary Proteins KW - Energy Intake KW - European Continental Ancestry Group KW - Fatty Acids, Unsaturated KW - Female KW - Gene-Environment Interaction KW - Genetic Predisposition to Disease KW - Humans KW - Male KW - Middle Aged KW - Obesity KW - Polymorphism, Single Nucleotide KW - Sleep KW - Young Adult AB -

BACKGROUND: Short sleep duration has been associated with greater risks of obesity, hypertension, diabetes, and cardiovascular disease. Also, common genetic variants in the human Circadian Locomotor Output Cycles Kaput (CLOCK) show associations with ghrelin and total energy intake.

OBJECTIVES: We examined associations between habitual sleep duration, body mass index (BMI), and macronutrient intake and assessed whether CLOCK variants modify these associations.

DESIGN: We conducted inverse-variance weighted, fixed-effect meta-analyses of results of adjusted associations of sleep duration and BMI and macronutrient intake as percentages of total energy as well as interactions with CLOCK variants from 9 cohort studies including up to 14,906 participants of European descent from the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium.

RESULTS: We observed a significant association between sleep duration and lower BMI (β ± SE = 0.16 ± 0.04, P < 0.0001) in the overall sample; however, associations between sleep duration and relative macronutrient intake were evident in age- and sex-stratified analyses only. We observed a significant association between sleep duration and lower saturated fatty acid intake in younger (aged 20-64 y) adults (men: 0.11 ± 0.06%, P = 0.03; women: 0.10 ± 0.05%, P = 0.04) and with lower carbohydrate (-0.31 ± 0.12%, P < 0.01), higher total fat (0.18 ± 0.09%, P = 0.05), and higher PUFA (0.05 ± 0.02%, P = 0.02) intakes in older (aged 65-80 y) women. In addition, the following 2 nominally significant interactions were observed: between sleep duration and rs12649507 on PUFA intake and between sleep duration and rs6858749 on protein intake.

CONCLUSIONS: Our results indicate that longer habitual sleep duration is associated with lower BMI and age- and sex-specific favorable dietary behaviors. Differences in the relative intake of specific macronutrients associated with short sleep duration could, at least in part, explain previously reported associations between short sleep duration and chronic metabolic abnormalities. In addition, the influence of obesity-associated CLOCK variants on the association between sleep duration and macronutrient intake suggests that longer habitual sleep duration could ameliorate the genetic predisposition to obesity via a favorable dietary profile.

VL - 101 IS - 1 U1 - http://www.ncbi.nlm.nih.gov/pubmed/25527757?dopt=Abstract ER - TY - JOUR T1 - Predicting Future Years of Life, Health, and Functional Ability: A Healthy Life Calculator for Older Adults. JF - Gerontol Geriatr Med Y1 - 2015 A1 - Diehr, Paula A1 - Diehr, Michael A1 - Arnold, Alice A1 - Yee, Laura M A1 - Odden, Michelle C A1 - Hirsch, Calvin H A1 - Thielke, Stephen A1 - Psaty, Bruce M A1 - Johnson, W Craig A1 - Kizer Md, Jorge R A1 - Newman, Anne AB -

To create personalized estimates of future health and ability status for older adults.Data came from the Cardiovascular Health Study (CHS), a large longitudinal study. Outcomes included years of life, years of healthy life (based on self-rated health), years of able life (based on activities of daily living), and years of healthy and able life. We developed regression estimates using the demographic and health characteristics that best predicted the four outcomes. Internal and external validity were assessed.A prediction equation based on 11 variables accounted for about 40% of the variability for each outcome. Internal validity was excellent, and external validity was satisfactory. The resulting CHS Healthy Life Calculator (CHSHLC) is available at http://healthylifecalculator.org.CHSHLC provides a well-documented estimate of future years of healthy and able life for older adults, who may use it in planning for the future.

VL - 1 ER - TY - JOUR T1 - Common variants in DRD2 are associated with sleep duration: the CARe consortium. JF - Hum Mol Genet Y1 - 2016 A1 - Cade, Brian E A1 - Gottlieb, Daniel J A1 - Lauderdale, Diane S A1 - Bennett, David A A1 - Buchman, Aron S A1 - Buxbaum, Sarah G A1 - De Jager, Philip L A1 - Evans, Daniel S A1 - Fulop, Tibor A1 - Gharib, Sina A A1 - Johnson, W Craig A1 - Kim, Hyun A1 - Larkin, Emma K A1 - Lee, Seung Ku A1 - Lim, Andrew S A1 - Punjabi, Naresh M A1 - Shin, Chol A1 - Stone, Katie L A1 - Tranah, Gregory J A1 - Weng, Jia A1 - Yaffe, Kristine A1 - Zee, Phyllis C A1 - Patel, Sanjay R A1 - Zhu, Xiaofeng A1 - Redline, Susan A1 - Saxena, Richa KW - Cohort Studies KW - Ethnic Groups KW - Humans KW - Polymorphism, Single Nucleotide KW - Polysomnography KW - Receptors, Dopamine D2 KW - Sleep KW - Time Factors AB -

Sleep duration is implicated in the etiologies of chronic diseases and premature mortality. However, the genetic basis for sleep duration is poorly defined. We sought to identify novel genetic components influencing sleep duration in a multi-ethnic sample. Meta-analyses were conducted of genetic associations with self-reported, habitual sleep duration from seven Candidate Gene Association Resource (CARe) cohorts of over 25 000 individuals of African, Asian, European and Hispanic American ancestry. All individuals were genotyped for ∼50 000 SNPs from 2000 candidate heart, lung, blood and sleep genes. African-Americans had additional genome-wide genotypes. Four cohorts provided replication. A SNP (rs17601612) in the dopamine D2 receptor gene (DRD2) was significantly associated with sleep duration (P = 9.8 × 10(-7)). Conditional analysis identified a second DRD2 signal with opposite effects on sleep duration. In exploratory analysis, suggestive association was observed for rs17601612 with polysomnographically determined sleep latency (P = 0.002). The lead DRD2 signal was recently identified in a schizophrenia GWAS, and a genetic risk score of 11 additional schizophrenia GWAS loci genotyped on the IBC array was also associated with longer sleep duration (P = 0.03). These findings support a role for DRD2 in influencing sleep duration. Our work motivates future pharmocogenetics research on alerting agents such as caffeine and modafinil that interact with the dopaminergic pathway and further investigation of genetic overlap between sleep and neuro-psychiatric traits.

VL - 25 IS - 1 U1 - http://www.ncbi.nlm.nih.gov/pubmed/26464489?dopt=Abstract ER - TY - JOUR T1 - Multiethnic Meta-Analysis Identifies RAI1 as a Possible Obstructive Sleep Apnea-related Quantitative Trait Locus in Men. JF - Am J Respir Cell Mol Biol Y1 - 2018 A1 - Chen, Han A1 - Cade, Brian E A1 - Gleason, Kevin J A1 - Bjonnes, Andrew C A1 - Stilp, Adrienne M A1 - Sofer, Tamar A1 - Conomos, Matthew P A1 - Ancoli-Israel, Sonia A1 - Arens, Raanan A1 - Azarbarzin, Ali A1 - Bell, Graeme I A1 - Below, Jennifer E A1 - Chun, Sung A1 - Evans, Daniel S A1 - Ewert, Ralf A1 - Frazier-Wood, Alexis C A1 - Gharib, Sina A A1 - Haba-Rubio, José A1 - Hagen, Erika W A1 - Heinzer, Raphael A1 - Hillman, David R A1 - Johnson, W Craig A1 - Kutalik, Zoltán A1 - Lane, Jacqueline M A1 - Larkin, Emma K A1 - Lee, Seung Ku A1 - Liang, Jingjing A1 - Loredo, Jose S A1 - Mukherjee, Sutapa A1 - Palmer, Lyle J A1 - Papanicolaou, George J A1 - Penzel, Thomas A1 - Peppard, Paul E A1 - Post, Wendy S A1 - Ramos, Alberto R A1 - Rice, Ken A1 - Rotter, Jerome I A1 - Sands, Scott A A1 - Shah, Neomi A A1 - Shin, Chol A1 - Stone, Katie L A1 - Stubbe, Beate A1 - Sul, Jae Hoon A1 - Tafti, Mehdi A1 - Taylor, Kent D A1 - Teumer, Alexander A1 - Thornton, Timothy A A1 - Tranah, Gregory J A1 - Wang, Chaolong A1 - Wang, Heming A1 - Warby, Simon C A1 - Wellman, D Andrew A1 - Zee, Phyllis C A1 - Hanis, Craig L A1 - Laurie, Cathy C A1 - Gottlieb, Daniel J A1 - Patel, Sanjay R A1 - Zhu, Xiaofeng A1 - Sunyaev, Shamil R A1 - Saxena, Richa A1 - Lin, Xihong A1 - Redline, Susan AB -

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.

VL - 58 IS - 3 ER - TY - JOUR T1 - Admixture mapping identifies novel loci for obstructive sleep apnea in Hispanic/Latino Americans. JF - Hum Mol Genet Y1 - 2019 A1 - Wang, Heming A1 - Cade, Brian E A1 - Sofer, Tamar A1 - Sands, Scott A A1 - Chen, Han A1 - Browning, Sharon R A1 - Stilp, Adrienne M A1 - Louie, Tin L A1 - Thornton, Timothy A A1 - Johnson, W Craig A1 - Below, Jennifer E A1 - Conomos, Matthew P A1 - Evans, Daniel S A1 - Gharib, Sina A A1 - Guo, Xiuqing A1 - Wood, Alexis C A1 - Mei, Hao A1 - Yaffe, Kristine A1 - Loredo, Jose S A1 - Ramos, Alberto R A1 - Barrett-Connor, Elizabeth A1 - Ancoli-Israel, Sonia A1 - Zee, Phyllis C A1 - Arens, Raanan A1 - Shah, Neomi A A1 - Taylor, Kent D A1 - Tranah, Gregory J A1 - Stone, Katie L A1 - Hanis, Craig L A1 - Wilson, James G A1 - Gottlieb, Daniel J A1 - Patel, Sanjay R A1 - Rice, Ken A1 - Post, Wendy S A1 - Rotter, Jerome I A1 - Sunyaev, Shamil R A1 - Cai, Jianwen A1 - Lin, Xihong A1 - Purcell, Shaun M A1 - Laurie, Cathy C A1 - Saxena, Richa A1 - Redline, Susan A1 - Zhu, Xiaofeng AB -

Obstructive sleep apnea (OSA) is a common disorder associated with increased risk of cardiovascular disease and mortality. Its prevalence and severity vary across ancestral background. Although OSA traits are heritable, few genetic associations have been identified. To identify genetic regions associated with OSA and improve statistical power, we applied admixture mapping on three primary OSA traits [the apnea hypopnea index (AHI), overnight average oxyhemoglobin saturation (SaO2) and percentage time SaO2 < 90%] and a secondary trait (respiratory event duration) in a Hispanic/Latino American population study of 11 575 individuals with significant variation in ancestral background. Linear mixed models were performed using previously inferred African, European and Amerindian local genetic ancestry markers. Global African ancestry was associated with a lower AHI, higher SaO2 and shorter event duration. Admixture mapping analysis of the primary OSA traits identified local African ancestry at the chromosomal region 2q37 as genome-wide significantly associated with AHI (P < 5.7 × 10-5), and European and Amerindian ancestries at 18q21 suggestively associated with both AHI and percentage time SaO2 < 90% (P < 10-3). Follow-up joint ancestry-SNP association analyses identified novel variants in ferrochelatase (FECH), significantly associated with AHI and percentage time SaO2 < 90% after adjusting for multiple tests (P < 8 × 10-6). These signals contributed to the admixture mapping associations and were replicated in independent cohorts. In this first admixture mapping study of OSA, novel associations with variants in the iron/heme metabolism pathway suggest a role for iron in influencing respiratory traits underlying OSA.

VL - 28 IS - 4 ER - TY - JOUR T1 - Associations of variants In the hexokinase 1 and interleukin 18 receptor regions with oxyhemoglobin saturation during sleep. JF - PLoS Genet Y1 - 2019 A1 - Cade, Brian E A1 - Chen, Han A1 - Stilp, Adrienne M A1 - Louie, Tin A1 - Ancoli-Israel, Sonia A1 - Arens, Raanan A1 - Barfield, Richard A1 - Below, Jennifer E A1 - Cai, Jianwen A1 - Conomos, Matthew P A1 - Evans, Daniel S A1 - Frazier-Wood, Alexis C A1 - Gharib, Sina A A1 - Gleason, Kevin J A1 - Gottlieb, Daniel J A1 - Hillman, David R A1 - Johnson, W Craig A1 - Lederer, David J A1 - Lee, Jiwon A1 - Loredo, Jose S A1 - Mei, Hao A1 - Mukherjee, Sutapa A1 - Patel, Sanjay R A1 - Post, Wendy S A1 - Purcell, Shaun M A1 - Ramos, Alberto R A1 - Reid, Kathryn J A1 - Rice, Ken A1 - Shah, Neomi A A1 - Sofer, Tamar A1 - Taylor, Kent D A1 - Thornton, Timothy A A1 - Wang, Heming A1 - Yaffe, Kristine A1 - Zee, Phyllis C A1 - Hanis, Craig L A1 - Palmer, Lyle J A1 - Rotter, Jerome I A1 - Stone, Katie L A1 - Tranah, Gregory J A1 - Wilson, James G A1 - Sunyaev, Shamil R A1 - Laurie, Cathy C A1 - Zhu, Xiaofeng A1 - Saxena, Richa A1 - Lin, Xihong A1 - Redline, Susan KW - Adolescent KW - Adult KW - Aged KW - Aged, 80 and over KW - Cell Adhesion Molecules, Neuronal KW - Computational Biology KW - Extracellular Matrix Proteins KW - Female KW - Gene Regulatory Networks KW - Genetic Variation KW - Genome-Wide Association Study KW - Hexokinase KW - Humans KW - Hypoxia KW - Interleukin-18 Receptor alpha Subunit KW - Male KW - Middle Aged KW - Nerve Tissue Proteins KW - NLR Family, Pyrin Domain-Containing 3 Protein KW - Oxygen KW - Oxyhemoglobins KW - Polymorphism, Single Nucleotide KW - Quantitative Trait Loci KW - Serine Endopeptidases KW - Sleep KW - Sleep Apnea Syndromes KW - Young Adult AB -

Sleep disordered breathing (SDB)-related overnight hypoxemia is associated with cardiometabolic disease and other comorbidities. Understanding the genetic bases for variations in nocturnal hypoxemia may help understand mechanisms influencing oxygenation and SDB-related mortality. We conducted genome-wide association tests across 10 cohorts and 4 populations to identify genetic variants associated with three correlated measures of overnight oxyhemoglobin saturation: average and minimum oxyhemoglobin saturation during sleep and the percent of sleep with oxyhemoglobin saturation under 90%. The discovery sample consisted of 8,326 individuals. Variants with p < 1 × 10(-6) were analyzed in a replication group of 14,410 individuals. We identified 3 significantly associated regions, including 2 regions in multi-ethnic analyses (2q12, 10q22). SNPs in the 2q12 region associated with minimum SpO2 (rs78136548 p = 2.70 × 10(-10)). SNPs at 10q22 were associated with all three traits including average SpO2 (rs72805692 p = 4.58 × 10(-8)). SNPs in both regions were associated in over 20,000 individuals and are supported by prior associations or functional evidence. Four additional significant regions were detected in secondary sex-stratified and combined discovery and replication analyses, including a region overlapping Reelin, a known marker of respiratory complex neurons.These are the first genome-wide significant findings reported for oxyhemoglobin saturation during sleep, a phenotype of high clinical interest. Our replicated associations with HK1 and IL18R1 suggest that variants in inflammatory pathways, such as the biologically-plausible NLRP3 inflammasome, may contribute to nocturnal hypoxemia.

VL - 15 IS - 4 ER - TY - JOUR T1 - Epigenome-wide association analysis of daytime sleepiness in the Multi-Ethnic Study of Atherosclerosis reveals African-American-specific associations. JF - Sleep Y1 - 2019 A1 - Barfield, Richard A1 - Wang, Heming A1 - Liu, Yongmei A1 - Brody, Jennifer A A1 - Swenson, Brenton A1 - Li, Ruitong A1 - Bartz, Traci M A1 - Sotoodehnia, Nona A1 - Chen, Yii-der I A1 - Cade, Brian E A1 - Chen, Han A1 - Patel, Sanjay R A1 - Zhu, Xiaofeng A1 - Gharib, Sina A A1 - Johnson, W Craig A1 - Rotter, Jerome I A1 - Saxena, Richa A1 - Purcell, Shaun A1 - Lin, Xihong A1 - Redline, Susan A1 - Sofer, Tamar AB -

STUDY OBJECTIVES: Daytime sleepiness is a consequence of inadequate sleep, sleep-wake control disorder, or other medical conditions. Population variability in prevalence of daytime sleepiness is likely due to genetic and biological factors as well as social and environmental influences. DNA methylation (DNAm) potentially influences multiple health outcomes. Here, we explored the association between DNAm and daytime sleepiness quantified by the Epworth Sleepiness Scale (ESS).

METHODS: We performed multi-ethnic and ethnic-specific epigenome-wide association studies for DNAm and ESS in the Multi-Ethnic Study of Atherosclerosis (MESA; n = 619) and the Cardiovascular Health Study (n = 483), with cross-study replication and meta-analysis. Genetic variants near ESS-associated DNAm were analyzed for methylation quantitative trait loci and followed with replication of genotype-sleepiness associations in the UK Biobank.

RESULTS: In MESA only, we detected four DNAm-ESS associations: one across all race/ethnic groups; three in African-Americans (AA) only. Two of the MESA AA associations, in genes KCTD5 and RXRA, nominally replicated in CHS (p-value < 0.05). In the AA meta-analysis, we detected 14 DNAm-ESS associations (FDR q-value < 0.05, top association p-value = 4.26 × 10-8). Three DNAm sites mapped to genes (CPLX3, GFAP, and C7orf50) with biological relevance. We also found evidence for associations with DNAm sites in RAI1, a gene associated with sleep and circadian phenotypes. UK Biobank follow-up analyses detected SNPs in RAI1, RXRA, and CPLX3 with nominal sleepiness associations.

CONCLUSIONS: We identified methylation sites in multiple genes possibly implicated in daytime sleepiness. Most significant DNAm-ESS associations were specific to AA. Future work is needed to identify mechanisms driving ancestry-specific methylation effects.

ER - TY - JOUR T1 - Whole genome sequence analysis of pulmonary function and COPD in 19,996 multi-ethnic participants. JF - Nat Commun Y1 - 2020 A1 - Zhao, Xutong A1 - Qiao, Dandi A1 - Yang, Chaojie A1 - Kasela, Silva A1 - Kim, Wonji A1 - Ma, Yanlin A1 - Shrine, Nick A1 - Batini, Chiara A1 - Sofer, Tamar A1 - Taliun, Sarah A Gagliano A1 - Sakornsakolpat, Phuwanat A1 - Balte, Pallavi P A1 - Prokopenko, Dmitry A1 - Yu, Bing A1 - Lange, Leslie A A1 - Dupuis, Josée A1 - Cade, Brian E A1 - Lee, Jiwon A1 - Gharib, Sina A A1 - Daya, Michelle A1 - Laurie, Cecelia A A1 - Ruczinski, Ingo A1 - Cupples, L Adrienne A1 - Loehr, Laura R A1 - Bartz, Traci M A1 - Morrison, Alanna C A1 - Psaty, Bruce M A1 - Vasan, Ramachandran S A1 - Wilson, James G A1 - Taylor, Kent D A1 - Durda, Peter A1 - Johnson, W Craig A1 - Cornell, Elaine A1 - Guo, Xiuqing A1 - Liu, Yongmei A1 - Tracy, Russell P A1 - Ardlie, Kristin G A1 - Aguet, Francois A1 - VanDenBerg, David J A1 - Papanicolaou, George J A1 - Rotter, Jerome I A1 - Barnes, Kathleen C A1 - Jain, Deepti A1 - Nickerson, Deborah A A1 - Muzny, Donna M A1 - Metcalf, Ginger A A1 - Doddapaneni, Harshavardhan A1 - Dugan-Perez, Shannon A1 - Gupta, Namrata A1 - Gabriel, Stacey A1 - Rich, Stephen S A1 - O'Connor, George T A1 - Redline, Susan A1 - Reed, Robert M A1 - Laurie, Cathy C A1 - Daviglus, Martha L A1 - Preudhomme, Liana K A1 - Burkart, Kristin M A1 - Kaplan, Robert C A1 - Wain, Louise V A1 - Tobin, Martin D A1 - London, Stephanie J A1 - Lappalainen, Tuuli A1 - Oelsner, Elizabeth C A1 - Abecasis, Goncalo R A1 - Silverman, Edwin K A1 - Barr, R Graham A1 - Cho, Michael H A1 - Manichaikul, Ani KW - Adult KW - African Americans KW - Aged KW - Aged, 80 and over KW - Alpha-Ketoglutarate-Dependent Dioxygenase FTO KW - Calcium-Binding Proteins KW - Feasibility Studies KW - Female KW - Follow-Up Studies KW - Genetic Loci KW - Genetic Predisposition to Disease KW - Genome-Wide Association Study KW - Humans KW - Intracellular Signaling Peptides and Proteins KW - Lung KW - Male KW - Middle Aged KW - Polymorphism, Single Nucleotide KW - Protein Inhibitors of Activated STAT KW - Pulmonary Disease, Chronic Obstructive KW - Respiratory Physiological Phenomena KW - Small Ubiquitin-Related Modifier Proteins KW - Whole Genome Sequencing AB -

Chronic obstructive pulmonary disease (COPD), diagnosed by reduced lung function, is a leading cause of morbidity and mortality. We performed whole genome sequence (WGS) analysis of lung function and COPD in a multi-ethnic sample of 11,497 participants from population- and family-based studies, and 8499 individuals from COPD-enriched studies in the NHLBI Trans-Omics for Precision Medicine (TOPMed) Program. We identify at genome-wide significance 10 known GWAS loci and 22 distinct, previously unreported loci, including two common variant signals from stratified analysis of African Americans. Four novel common variants within the regions of PIAS1, RGN (two variants) and FTO show evidence of replication in the UK Biobank (European ancestry n ~ 320,000), while colocalization analyses leveraging multi-omic data from GTEx and TOPMed identify potential molecular mechanisms underlying four of the 22 novel loci. Our study demonstrates the value of performing WGS analyses and multi-omic follow-up in cohorts of diverse ancestry.

VL - 11 IS - 1 ER - TY - JOUR T1 - Multi-Ancestry Genome-wide Association Study Accounting for Gene-Psychosocial Factor Interactions Identifies Novel Loci for Blood Pressure Traits. JF - HGG Adv Y1 - 2021 A1 - Sun, Daokun A1 - Richard, Melissa A1 - Musani, Solomon K A1 - Sung, Yun Ju A1 - Winkler, Thomas W A1 - Schwander, Karen A1 - Chai, Jin Fang A1 - Guo, Xiuqing A1 - Kilpeläinen, Tuomas O A1 - Vojinovic, Dina A1 - Aschard, Hugues A1 - Bartz, Traci M A1 - Bielak, Lawrence F A1 - Brown, Michael R A1 - Chitrala, Kumaraswamy A1 - Hartwig, Fernando P A1 - Horimoto, Andrea R V R A1 - Liu, Yongmei A1 - Manning, Alisa K A1 - Noordam, Raymond A1 - Smith, Albert V A1 - Harris, Sarah E A1 - Kuhnel, Brigitte A1 - Lyytikäinen, Leo-Pekka A1 - Nolte, Ilja M A1 - Rauramaa, Rainer A1 - van der Most, Peter J A1 - Wang, Rujia A1 - Ware, Erin B A1 - Weiss, Stefan A1 - Wen, Wanqing A1 - Yanek, Lisa R A1 - Arking, Dan E A1 - Arnett, Donna K A1 - Barac, Ana A1 - Boerwinkle, Eric A1 - Broeckel, Ulrich A1 - Chakravarti, Aravinda A1 - Chen, Yii-Der Ida A1 - Cupples, L Adrienne A1 - Davigulus, Martha L A1 - de Las Fuentes, Lisa A1 - de Mutsert, Renée A1 - de Vries, Paul S A1 - Delaney, Joseph A C A1 - Roux, Ana V Diez A1 - Dörr, Marcus A1 - Faul, Jessica D A1 - Fretts, Amanda M A1 - Gallo, Linda C A1 - Grabe, Hans Jörgen A1 - Gu, C Charles A1 - Harris, Tamara B A1 - Hartman, Catharina C A A1 - Heikkinen, Sami A1 - Ikram, M Arfan A1 - Isasi, Carmen A1 - Johnson, W Craig A1 - Jonas, Jost Bruno A1 - Kaplan, Robert C A1 - Komulainen, Pirjo A1 - Krieger, Jose E A1 - Levy, Daniel A1 - Liu, Jianjun A1 - Lohman, Kurt A1 - Luik, Annemarie I A1 - Martin, Lisa W A1 - Meitinger, Thomas A1 - Milaneschi, Yuri A1 - O'Connell, Jeff R A1 - Palmas, Walter R A1 - Peters, Annette A1 - Peyser, Patricia A A1 - Pulkki-Råback, Laura A1 - Raffel, Leslie J A1 - Reiner, Alex P A1 - Rice, Kenneth A1 - Robinson, Jennifer G A1 - Rosendaal, Frits R A1 - Schmidt, Carsten Oliver A1 - Schreiner, Pamela J A1 - Schwettmann, Lars A1 - Shikany, James M A1 - Shu, Xiao-Ou A1 - Sidney, Stephen A1 - Sims, Mario A1 - Smith, Jennifer A A1 - Sotoodehnia, Nona A1 - Strauch, Konstantin A1 - Tai, E Shyong A1 - Taylor, Kent A1 - Uitterlinden, André G A1 - van Duijn, Cornelia M A1 - Waldenberger, Melanie A1 - Wee, Hwee-Lin A1 - Wei, Wen-Bin A1 - Wilson, Gregory A1 - Xuan, Deng A1 - Yao, Jie A1 - Zeng, Donglin A1 - Zhao, Wei A1 - Zhu, Xiaofeng A1 - Zonderman, Alan B A1 - Becker, Diane M A1 - Deary, Ian J A1 - Gieger, Christian A1 - Lakka, Timo A A1 - Lehtimäki, Terho A1 - North, Kari E A1 - Oldehinkel, Albertine J A1 - Penninx, Brenda W J H A1 - Snieder, Harold A1 - Wang, Ya-Xing A1 - Weir, David R A1 - Zheng, Wei A1 - Evans, Michele K A1 - Gauderman, W James A1 - Gudnason, Vilmundur A1 - Horta, Bernardo L A1 - Liu, Ching-Ti A1 - Mook-Kanamori, Dennis O A1 - Morrison, Alanna C A1 - Pereira, Alexandre C A1 - Psaty, Bruce M A1 - Amin, Najaf A1 - Fox, Ervin R A1 - Kooperberg, Charles A1 - Sim, Xueling A1 - Bierut, Laura A1 - Rotter, Jerome I A1 - Kardia, Sharon L R A1 - Franceschini, Nora A1 - Rao, Dabeeru C A1 - Fornage, Myriam AB -

Psychological and social factors are known to influence blood pressure (BP) and risk of hypertension and associated cardiovascular diseases. To identify novel BP loci, we carried out genome-wide association meta-analyses of systolic, diastolic, pulse, and mean arterial BP taking into account the interaction effects of genetic variants with three psychosocial factors: depressive symptoms, anxiety symptoms, and social support. Analyses were performed using a two-stage design in a sample of up to 128,894 adults from 5 ancestry groups. In the combined meta-analyses of Stages 1 and 2, we identified 59 loci (p value <5e-8), including nine novel BP loci. The novel associations were observed mostly with pulse pressure, with fewer observed with mean arterial pressure. Five novel loci were identified in African ancestry, and all but one showed patterns of interaction with at least one psychosocial factor. Functional annotation of the novel loci supports a major role for genes implicated in the immune response (), synaptic function and neurotransmission (), as well as genes previously implicated in neuropsychiatric or stress-related disorders (). These findings underscore the importance of considering psychological and social factors in gene discovery for BP, especially in non-European populations.

VL - 2 IS - 1 ER -