Multi-ancestry genome-wide gene-sleep interactions identify novel loci for blood pressure
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Nicholette D. Palmer | Sina A. Gharib | M. Fornage | C. Gieger | M. Waldenberger | A. Uitterlinden | D. Levy | A. Peters | I. Deary | R. Mägi | A. Luik | S. Redline | T. Lehtimäki | E. Boerwinkle | K. Strauch | P. Munroe | V. Gudnason | C. Bouchard | A. Zonderman | M. Evans | T. Rice | L. Palmer | T. Meitinger | K. Lohman | Yongmei Liu | B. Psaty | B. Penninx | D. Arking | A. Metspalu | T. Esko | H. Snieder | L. Milani | J. Rotter | D. Gottlieb | T. Lakka | R. Rauramaa | B. Cade | X. Shu | W. Zheng | J. Starr | D. Rao | Han Chen | T. Sofer | K. Rice | Xiaofeng Zhu | C. V. van Duijn | J. Shikany | Xiuqing Guo | H. Grabe | U. Völker | K. North | M. Ikram | S. Harris | J. Bis | S. Rich | N. Amin | G. Eiriksdottir | M. Kähönen | L. Launer | S. Mukherjee | T. Rankinen | Y. Sung | T. Winkler | N. Franceschini | D. Vojinović | S. Musani | A. Bentley | Michael R. Brown | K. Schwander | Melissa A. Richard | R. Noordam | H. Aschard | T. Bartz | A. Horimoto | A. Manning | M. Alver | Chuan Gao | P. Komulainen | B. Kühnel | I. Nolte | P. J. van der Most | S. Weiss | W. Wen | Jiang He | S. Heikkinen | T. Kilpeläinen | J. Krieger | Y. Milaneschi | J. O'connell | N. Palmer | P. Schreiner | M. Sims | Jie Yao | L. Wagenknecht | A. Pereira | D. Mook-Kanamori | T. Kelly | E. Fox | C. Kooperberg | W. Palmas | A. Morrison | Ching‐Ti Liu | L. Lyytikäinen | Yii-Der I. Chen | S. Gharib | D. Hillman | P. Zee | M. Dörr | D. van Heemst | G. Wilson | T. Roenneberg | A. Barac | R. Wallace | M. Ikram | Heming Wang | P. D. de Vries | J. Gauderman | E. Lim | L. Martin | Traci M Bartz | N. Biermasz | Hanfei Xu | K. Chitrala | Jiwon Lee | S. Sidney | Peter J. van der Most | Traci M. Bartz | J. Nierenberg | R. Waken | Jovia L. Nierenberg | Marjan Ilkov | K. A. Hall | S. Rich | M. Brown | J. Yao | H. Grabe | D. Rao | Maris Alver | K. Hall | Y. Chen | Alexandre C. Pereira | Xiaofeng Zhu | A. Pereira | Michael R. Brown | M. Richard | R. Waken | M. Kähönen | A. Uitterlinden | José E. Krieger | C. V. van Duijn | B. Psaty | Brigitte Kühnel | S. Harris | A. Peters | D. Levy | A. Peters | Michael R. Brown | Jeffery R O'connell | D. Vojinovic | K. Chitrala
[1] Fernando Pires Hartwig,et al. A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure. , 2018, American journal of human genetics.
[2] V. de Waard,et al. NR4A nuclear receptors in cardiac remodeling and neurohormonal regulation. , 2019, Trends in cardiovascular medicine.
[3] Kathryn J Reid,et al. Circadian misalignment and health , 2014, International review of psychiatry.
[4] Xiaofeng Zhu,et al. Meta-analysis of correlated traits via summary statistics from GWASs with an application in hypertension. , 2015, American journal of human genetics.
[5] Min Zhang,et al. Short sleep duration predicts risk of metabolic syndrome: a systematic review and meta-analysis. , 2014, Sleep medicine reviews.
[6] Anita L. DeStefano,et al. Evidence for a Gene Influencing Blood Pressure on Chromosome 17: Genome Scan Linkage Results for Longitudinal Blood Pressure Phenotypes in Subjects From the Framingham Heart Study , 2000, Hypertension.
[7] Michelle L. Gumz,et al. Circadian clock-mediated regulation of blood pressure. , 2017, Free radical biology & medicine.
[8] Max A. Little,et al. Genome-wide association study identifies genetic loci for self-reported habitual sleep duration supported by accelerometer-derived estimates , 2019, Nature Communications.
[9] S. Redline,et al. Agreement between self-reported and objectively measured sleep duration among white, black, Hispanic, and Chinese adults in the United States: Multi-Ethnic Study of Atherosclerosis , 2018, Sleep.
[10] Max A. Little,et al. Genome-wide association analysis of self-reported daytime sleepiness identifies 42 loci that suggest biological subtypes , 2019, Nature Communications.
[11] P. O’Reilly,et al. Genome-wide association study identifies eight loci associated with blood pressure , 2009, Nature Genetics.
[12] John P Elder,et al. Sample design and cohort selection in the Hispanic Community Health Study/Study of Latinos. , 2010, Annals of epidemiology.
[13] J. Gangwisch,et al. A review of evidence for the link between sleep duration and hypertension. , 2014, American journal of hypertension.
[14] B. Rayner,et al. Differences in hypertension between blacks and whites: an overview , 2007, Cardiovascular journal of Africa.
[15] Keith C. Norris,et al. The relationship between body mass index, blood pressure and pulse rate among normotensive and hypertensive participants in the third National Health and Nutrition Examination Survey (NHANES). , 2003, Cellular and molecular biology.
[16] B. Xi,et al. Short sleep duration is associated with hypertension risk among adults: a systematic review and meta-analysis , 2012, Hypertension Research.
[17] Yurii S. Aulchenko,et al. ProbABEL package for genome-wide association analysis of imputed data , 2010, BMC Bioinformatics.
[18] N. Risch,et al. Genome-wide association analyses using electronic health records identify new loci influencing blood pressure variation , 2016, Nature Genetics.
[19] He Gao,et al. Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk , 2017, Nature Genetics.
[20] L. Hale,et al. Racial differences in self-reports of sleep duration in a population-based study. , 2007, Sleep.
[21] J. Danesh,et al. Association analyses based on false discovery rate implicate new loci for coronary artery disease , 2017, Nature Genetics.
[22] Andrew D. Johnson,et al. Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes , 2018, Nature Genetics.
[23] Lon Phan,et al. Phenotype–Genotype Integrator (PheGenI): synthesizing genome-wide association study (GWAS) data with existing genomic resources , 2013, European Journal of Human Genetics.
[24] C. Spencer,et al. Biological Insights From 108 Schizophrenia-Associated Genetic Loci , 2014, Nature.
[25] Mark E. Anderson,et al. Ankyrin-B Protein in Heart Failure , 2012, The Journal of Biological Chemistry.
[26] Florian Kronenberg,et al. EasyStrata: evaluation and visualization of stratified genome-wide association meta-analysis data , 2015, Bioinform..
[27] R. Bootzin,et al. Relationship between reported and measured sleep times: the sleep heart health study (SHHS). , 2007, Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine.
[28] Alex H. Wagner,et al. DGIdb 3.0: a redesign and expansion of the drug–gene interaction database , 2017, bioRxiv.
[29] Max A. Little,et al. Biological and clinical insights from genetics of insomnia symptoms , 2019, Nature Genetics.
[30] Avis J. Thomas,et al. Lifetime risks of cardiovascular disease. , 2012, The New England journal of medicine.
[31] J. Danesh,et al. A comprehensive 1000 Genomes-based genome-wide association meta-analysis of coronary artery disease , 2016 .
[32] Richard T. Barfield,et al. Epigenome-wide association analysis of daytime sleepiness in the Multi-Ethnic Study of Atherosclerosis reveals African-American-specific associations , 2018, bioRxiv.
[33] C. Romanin,et al. Phospholipase C-dependent control of cardiac calcium homeostasis involves a TRPC3-NCX1 signaling complex. , 2007, Cardiovascular research.
[34] Karsten B. Sieber,et al. Target genes, variants, tissues and transcriptional pathways influencing human serum urate levels , 2019, Nature Genetics.
[35] Zoltán Kutalik,et al. Quality control and conduct of genome-wide association meta-analyses , 2014, Nature Protocols.
[36] Kazuomi Kario,et al. Sleep Duration as a Risk Factor for Cardiovascular Disease- a Review of the Recent Literature , 2009, Current cardiology reviews.
[37] R. Davis,et al. Increased Tumor Glycolysis Characterizes Immune Resistance to Adoptive T Cell Therapy. , 2018, Cell metabolism.
[38] Erdogan Taskesen,et al. Functional mapping and annotation of genetic associations with FUMA , 2017, Nature Communications.
[39] T. Furukawa,et al. Panky, a novel photoreceptor‐specific ankyrin repeat protein, is a transcriptional cofactor that suppresses CRX‐regulated photoreceptor genes , 2010, FEBS letters.
[40] A. Malhotra,et al. The Relationship between Sleep Duration and Body Mass Index Depends on Age , 2015, Obesity.
[41] Josée Dupuis,et al. Meta‐analysis of gene‐environment interaction: joint estimation of SNP and SNP × environment regression coefficients , 2011, Genetic epidemiology.
[42] Laura J. Scott,et al. Trans-ethnic association study of blood pressure determinants in over 750,000 individuals , 2018, Nature Genetics.
[43] D. Hunter. Gene–environment interactions in human diseases , 2005, Nature Reviews Genetics.
[44] Andrew D. Johnson,et al. Genome-wide association study of blood pressure and hypertension , 2009, Nature Genetics.
[45] M. Langgård,et al. Identification of the first small-molecule ligand of the neuronal receptor sortilin and structure determination of the receptor–ligand complex , 2014, Acta crystallographica. Section D, Biological crystallography.
[46] J. Lane,et al. Sleep Duration and Myocardial Infarction. , 2019, Journal of the American College of Cardiology.
[47] Christian Gieger,et al. Genetic Variants in Novel Pathways Influence Blood Pressure and Cardiovascular Disease Risk , 2011, Nature.
[48] Achim Zeileis. Object-oriented Computation of Sandwich Estimators , 2006 .
[49] Francesca N. Delling,et al. Heart Disease and Stroke Statistics—2019 Update: A Report From the American Heart Association , 2019, Circulation.
[50] D. Schmitz,et al. Muskelin Regulates Actin Filament- and Microtubule-Based GABAA Receptor Transport in Neurons , 2011, Neuron.
[51] G. Kempermann. Faculty Opinions recommendation of Human genomics. The Genotype-Tissue Expression (GTEx) pilot analysis: multitissue gene regulation in humans. , 2015 .
[52] Xinli Hu,et al. SNPsea: an algorithm to identify cell types, tissues and pathways affected by risk loci , 2014, Bioinform..
[53] S. Pradervand,et al. The circadian clock modulates renal sodium handling. , 2012, Journal of the American Society of Nephrology : JASN.
[54] L. Soane,et al. KCTD: A new gene family involved in neurodevelopmental and neuropsychiatric disorders , 2019, CNS neuroscience & therapeutics.
[55] A. Adeyemo,et al. Genome Scan Among Nigerians Linking Blood Pressure to Chromosomes 2, 3, and 19 , 2002, Hypertension.
[56] Xiaofeng Zhu,et al. Single-trait and multi-trait genome-wide association analyses identify novel loci for blood pressure in African-ancestry populations , 2017, PLoS genetics.
[57] G. Jean-Louis,et al. Sleep duration among black and white Americans: results of the National Health Interview Survey. , 2008, Journal of the National Medical Association.
[58] M. Adeva-Andany,et al. Liver glucose metabolism in humans , 2016, Bioscience reports.
[59] Samuel E. Jones,et al. Genome-wide association analyses of chronotype in 697,828 individuals provides insights into circadian rhythms , 2019, Nature Communications.
[60] Claude Bouchard,et al. A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance , 2012, Nature Genetics.
[61] V. M. V. Program. A catalog of genetic loci associated with kidney function from analyses of a million individuals , 2019 .
[62] Meena Kumari,et al. Genetic studies of accelerometer-based sleep measures yield new insights into human sleep behaviour , 2019, Nature Communications.
[63] D. Strachan,et al. LDL-cholesterol concentrations: a genome-wide association study , 2008, The Lancet.
[64] R. Parenti,et al. Connexins in the Central Nervous System: Physiological Traits and Neuroprotective Targets , 2017, Front. Physiol..
[65] He Zhang,et al. Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension , 2016, Nature Genetics.
[66] Jun S. Liu,et al. The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans , 2015, Science.
[67] Duo Li,et al. Genome-Wide Contribution of Genotype by Environment Interaction to Variation of Diabetes-Related Traits , 2013, PloS one.
[68] Claude Bouchard,et al. Meta-analysis identifies common and rare variants influencing blood pressure and overlapping with metabolic trait loci , 2016, Nature Genetics.
[69] R. Aguilar-Roblero,et al. Growth Arrest Specific 1 (GAS1) Is Abundantly Expressed in the Adult Mouse Central Nervous System , 2013, The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society.
[70] H. Schindelin,et al. The LisH motif of muskelin is crucial for oligomerization and governs intracellular localization. , 2015, Structure.
[71] Xiaofeng Zhu,et al. VarExp: Estimating variance explained by Genome-Wide GxE summary statistics , 2017, bioRxiv.
[72] Masahiko Watanabe,et al. Elavl3 is essential for the maintenance of Purkinje neuron axons , 2018, Scientific Reports.
[73] P. Munroe,et al. Multiancestry Study of Gene–Lifestyle Interactions for Cardiovascular Traits in 610 475 Individuals From 124 Cohorts: Design and Rationale , 2017, Circulation. Cardiovascular genetics.
[74] Xiaofeng Zhu,et al. Genome-wide association analysis of blood-pressure traits in African-ancestry individuals reveals common associated genes in African and non-African populations. , 2013, American journal of human genetics.
[75] Alan D. Lopez,et al. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010 , 2012, The Lancet.
[76] Richard A. Gibbs,et al. Novel Genetic Loci Identified for the Pathophysiology of Childhood Obesity in the Hispanic Population , 2012, PloS one.
[77] Eurie L. Hong,et al. Annotation of functional variation in personal genomes using RegulomeDB , 2012, Genome research.
[78] Tanya M. Teslovich,et al. Discovery and refinement of loci associated with lipid levels , 2013, Nature Genetics.
[79] M Mancuso,et al. Genome-wide haplotype association study identifies the FRMD4A gene as a risk locus for Alzheimer's disease , 2012, Molecular Psychiatry.
[80] Xiaofeng Zhu,et al. The genetics of blood pressure regulation and its target organs from association studies in 342,415 individuals , 2016, Nature Genetics.
[81] Christian Gieger,et al. Six new loci associated with body mass index highlight a neuronal influence on body weight regulation , 2009, Nature Genetics.
[82] Karsten B. Sieber,et al. Genome-wide association meta-analyses and fine-mapping elucidate pathways influencing albuminuria , 2019, Nature Communications.
[83] M. Nelson,et al. Ryanodine Receptors, Calcium Signaling, and Regulation of Vascular Tone in The Cerebral Parenchymal Microcirculation , 2013, Microcirculation.
[84] Joseph K. Pickrell,et al. Detection and interpretation of shared genetic influences on 42 human traits , 2015, Nature Genetics.
[85] Manolis Kellis,et al. HaploReg: a resource for exploring chromatin states, conservation, and regulatory motif alterations within sets of genetically linked variants , 2011, Nucleic Acids Res..
[86] Joris M. Mooij,et al. MAGMA: Generalized Gene-Set Analysis of GWAS Data , 2015, PLoS Comput. Biol..
[87] Helga Thorvaldsdóttir,et al. Molecular signatures database (MSigDB) 3.0 , 2011, Bioinform..
[88] Christian Gieger,et al. Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits , 2018, Nature Genetics.
[89] Nicholette D. Palmer,et al. Multi-ancestry sleep-by-SNP interaction analysis in 126,926 individuals reveals lipid loci stratified by sleep duration , 2019, Nature Communications.
[90] J. Segovia,et al. Gas1 is a pleiotropic regulator of cellular functions: from embryonic development to molecular actions in cancer gene therapy. , 2014, Mini reviews in medicinal chemistry.