Phenotypic and genetic effect of carotid intima-media thickness on the risk of stroke

Bowden J, Davey Smith G, Burgess S (2015) Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression. Int J Epidemiol 44:512–525. https://doi.org/10.1093/ije/dyv080

Article  PubMed  PubMed Central  Google Scholar 

Bowden J, Davey Smith G, Haycock PC, Burgess S (2016) Consistent estimation in mendelian randomization with some Invalid instruments using a weighted median estimator. Genet Epidemiol 40:304–314. https://doi.org/10.1002/gepi.21965

Article  PubMed  PubMed Central  Google Scholar 

Bulik-Sullivan B, Finucane HK, Anttila V, Gusev A, Day FR, Loh PR, ReproGen C, Psychiatric Genomics C, Genetic Consortium for Anorexia Nervosa of the Wellcome Trust Case, Control C, Duncan L, Perry JR, Patterson N, Robinson EB, Daly MJ, Price AL, Neale BM (2015) An atlas of genetic correlations across human diseases and traits. Nat Genet 47:1236–1241. https://doi.org/10.1038/ng.3406

Article  CAS  PubMed  PubMed Central  Google Scholar 

Burgess S, Scott RA, Timpson NJ, Davey Smith G, Thompson SG, Consortium E-I (2015) Using published data in mendelian randomization: a blueprint for efficient identification of causal risk factors. Eur J Epidemiol 30:543–552. https://doi.org/10.1007/s10654-015-0011-z

Article  PubMed  PubMed Central  Google Scholar 

Campbell BCV, Khatri P (2020) Stroke Lancet 396:129–142. https://doi.org/10.1016/S0140-6736(20)31179-X

Article  PubMed  Google Scholar 

Chatterjee M, Ehrenberg A, Toska LM, Metz LM, Klier M, Krueger I, Reusswig F, Elvers M (2020) Molecular drivers of platelet activation: unraveling novel targets for anti-thrombotic and anti-thrombo-inflammatory therapy. Int J Mol Sci 21. https://doi.org/10.3390/ijms21217906

Cheng CY, Reich D, Haiman CA, Tandon A, Patterson N, Selvin E, Akylbekova EL, Brancati FL, Coresh J, Boerwinkle E, Altshuler D, Taylor HA, Henderson BE, Wilson JG, Kao WH (2012) African ancestry and its correlation to type 2 diabetes in African americans: a genetic admixture analysis in three U.S. population cohorts. PLoS ONE 7:e32840. https://doi.org/10.1371/journal.pone.0032840

Article  CAS  PubMed  PubMed Central  Google Scholar 

Den Ruijter HM, Peters SA, Anderson TJ, Britton AR, Dekker JM, Eijkemans MJ, Engstrom G, Evans GW, de Graaf J, Grobbee DE, Hedblad B, Hofman A, Holewijn S, Ikeda A, Kavousi M, Kitagawa K, Kitamura A, Koffijberg H, Lonn EM, Lorenz MW, Mathiesen EB, Nijpels G, Okazaki S, O’Leary DH, Polak JF, Price JF, Robertson C, Rembold CM, Rosvall M, Rundek T, Salonen JT, Sitzer M, Stehouwer CD, Witteman JC, Moons KG, Bots ML (2012) Common carotid intima-media thickness measurements in cardiovascular risk prediction: a meta-analysis. JAMA 308:796–803. https://doi.org/10.1001/jama.2012.9630

Article  Google Scholar 

Folsom AR, Yatsuya H, Psaty BM, Shahar E, Longstreth WT Jr (2011) Carotid intima-media thickness, electrocardiographic left ventricular hypertrophy, and incidence of intracerebral hemorrhage. Stroke 42:3075–3079. https://doi.org/10.1161/STROKEAHA.111.623157

Article  PubMed  PubMed Central  Google Scholar 

Giambartolomei C, Vukcevic D, Schadt EE, Franke L, Hingorani AD, Wallace C, Plagnol V (2014) Bayesian test for colocalisation between pairs of genetic association studies using summary statistics. PLoS Genet 10:e1004383. https://doi.org/10.1371/journal.pgen.1004383

Article  CAS  PubMed  PubMed Central  Google Scholar 

Gusev A, Ko A, Shi H, Bhatia G, Chung W, Penninx BW, Jansen R, de Geus EJ, Boomsma DI, Wright FA, Sullivan PF, Nikkola E, Alvarez M, Civelek M, Lusis AJ, Lehtimaki T, Raitoharju E, Kahonen M, Seppala I, Raitakari OT, Kuusisto J, Laakso M, Price AL, Pajukanta P, Pasaniuc B (2016) Integrative approaches for large-scale transcriptome-wide association studies. Nat Genet 48:245–252. https://doi.org/10.1038/ng.3506

Article  CAS  PubMed  PubMed Central  Google Scholar 

Huang H, Fang M, Jostins L, Umicevic Mirkov M, Boucher G, Anderson CA, Andersen V, Cleynen I, Cortes A, Crins F, D’Amato M, Deffontaine V, Dmitrieva J, Docampo E, Elansary M, Farh KK, Franke A, Gori AS, Goyette P, Halfvarson J, Haritunians T, Knight J, Lawrance IC, Lees CW, Louis E, Mariman R, Meuwissen T, Mni M, Momozawa Y, Parkes M, Spain SL, Theatre E, Trynka G, Satsangi J, van Sommeren S, Vermeire S, Xavier RJ, Weersma C, Duerr RK, Mathew RH, Rioux CG, McGovern JD, Cho DPB, Georges JH, Daly M, Barrett MJ JC (2017) Fine-mapping inflammatory bowel disease loci to single-variant resolution. Nature 547:173–178. https://doi.org/10.1038/nature22969

Article  CAS  PubMed  PubMed Central  Google Scholar 

International Consortium for Blood Pressure Genome-Wide, Association S, Ehret GB, Munroe PB, Rice KM, Bochud M, Johnson AD, Chasman DI, Smith AV, Tobin MD, Verwoert GC, Hwang SJ, Pihur V, Vollenweider P, O’Reilly PF, Amin N, Bragg-Gresham JL, Teumer A, Glazer NL, Launer L, Zhao JH, Aulchenko Y, Heath S, Sober S, Parsa A, Luan J, Arora P, Dehghan A, Zhang F, Lucas G, Hicks AA, Jackson AU, Peden JF, Tanaka T, Wild SH, Rudan I, Igl W, Milaneschi Y, Parker AN, Fava C, Chambers JC, Fox ER, Kumari M, Go MJ, van der Harst P, Kao WH, Sjogren M, Vinay DG, Alexander M, Tabara Y, Shaw-Hawkins S, Whincup PH, Liu Y, Shi G, Kuusisto J, Tayo B, Seielstad M, Sim X, Nguyen KD, Lehtimaki T, Matullo G, Wu Y, Gaunt TR, Onland-Moret NC, Cooper MN, Platou CG, Org E, Hardy R, Dahgam S, Palmen J, Vitart V, Braund PS, Kuznetsova T, Uiterwaal CS, Adeyemo A, Palmas W, Campbell H, Ludwig B, Tomaszewski M, Tzoulaki I, Palmer ND, consortium, Consortium CA, KidneyGen CK, Aspelund C, Garcia T, Chang M, O’Connell YP, Steinle JR, Grobbee NI, Arking DE, Kardia DE, Morrison SL, Hernandez AC, Najjar D, McArdle S, Hadley WL, Brown D, Connell MJ et al (2011) JM,. Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk. Nature 478: 103-9. https://doi.org/10.1038/nature10405

Kang L, Jia H, Huang B, Lu S, Chen Z, Shen J, Zou Y, Wang C, Sun Y (2021) Identification of differently expressed mRNAs in atherosclerosis reveals CDK6 is regulated by circHIPK3/miR-637 Axis and promotes cell growth in human vascular smooth muscle cells. Front Genet 12:596169. https://doi.org/10.3389/fgene.2021.596169

Article  CAS  PubMed  PubMed Central  Google Scholar 

Levy D, Ehret GB, Rice K, Verwoert GC, Launer LJ, Dehghan A, Glazer NL, Morrison AC, Johnson AD, Aspelund T, Aulchenko Y, Lumley T, Kottgen A, Vasan RS, Rivadeneira F, Eiriksdottir G, Guo X, Arking DE, Mitchell GF, Mattace-Raso FU, Smith AV, Taylor K, Scharpf RB, Hwang SJ, Sijbrands EJ, Bis J, Harris TB, Ganesh SK, O’Donnell CJ, Hofman A, Rotter JI, Coresh J, Benjamin EJ, Uitterlinden AG, Heiss G, Fox CS, Witteman JC, Boerwinkle E, Wang TJ, Gudnason V, Larson MG, Chakravarti A, Psaty BM, van Duijn CM (2009) Genome-wide association study of blood pressure and hypertension. Nat Genet 41:677–687. https://doi.org/10.1038/ng.384

Article  CAS  PubMed  PubMed Central  Google Scholar 

Liao Y, Wang J, Jaehnig EJ, Shi Z, Zhang B (2019) WebGestalt 2019: gene set analysis toolkit with revamped UIs and APIs. Nucleic Acids Res 47:W199–W205. https://doi.org/10.1093/nar/gkz401

Article  CAS  PubMed  PubMed Central  Google Scholar 

Liu M, Guan Z, Shen Q, Flinter F, Dominguez L, Ahn JW, Collier DA, O’Brien T, Shen S (2016) Ulk4 regulates neural stem Cell Pool. Stem Cells 34:2318–2331. https://doi.org/10.1002/stem.2423

Article  CAS  PubMed  Google Scholar 

Luo S, Zheng N, Lang B (2022) ULK4 in Neurodevelopmental and Neuropsychiatric disorders. Front Cell Dev Biol 10:873706. https://doi.org/10.3389/fcell.2022.873706

Article  PubMed  PubMed Central  Google Scholar 

Malik R, Chauhan G, Traylor M, Sargurupremraj M, Okada Y, Mishra A, Rutten-Jacobs L, Giese AK, van der Laan SW, Gretarsdottir S, Anderson CD, Chong M, Adams HHH, Ago T, Almgren P, Amouyel P, Ay H, Bartz TM, Benavente OR, Bevan S, Boncoraglio GB, Brown RD Jr., Butterworth AS, Carrera C, Carty CL, Chasman DI, Chen WM, Cole JW, Correa A, Cotlarciuc I, Cruchaga C, Danesh J, de Bakker PIW, DeStefano AL, den Hoed M, Duan Q, Engelter ST, Falcone GJ, Gottesman RF, Grewal RP, Gudnason V, Gustafsson S, Haessler J, Harris TB, Hassan A, Havulinna AS, Heckbert SR, Holliday EG, Howard G, Hsu FC, Hyacinth HI, Ikram MA, Ingelsson E, Irvin MR, Jian X, Jimenez-Conde J, Johnson JA, Jukema JW, Kanai M, Keene KL, Kissela BM, Kleindorfer DO, Kooperberg C, Kubo M, Lange LA, Langefeld CD, Langenberg C, Launer LJ, Lee JM, Lemmens R, Leys D, Lewis CM, Lin WY, Lindgren AG, Lorentzen E, Magnusson PK, Maguire J, Manichaikul A, McArdle PF, Meschia JF, Mitchell BD, Mosley TH, Nalls MA, Ninomiya T, O’Donnell MJ, Psaty BM, Pulit SL, Rannikmae K, Reiner AP, Rexrode KM, Rice K, Rich SS, Ridker PM, Rost NS, Rothwell PM, Rotter JI, Rundek T, Sacco RL, Sakaue S, Sale MM et al (2018) Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes. Nat Genet 50:524–537. https://doi.org/10.1038/s41588-018-0058-3

Article  CAS  PubMed  PubMed Central  Google Scholar 

Mishra A, Malik R, Hachiya T, Jurgenson T, Namba S, Posner DC, Kamanu FK, Koido M, Le Grand Q, Shi M, He Y, Georgakis MK, Caro I, Krebs K, Liaw YC, Vaura FC, Lin K, Winsvold BS, Srinivasasainagendra V, Parodi L, Bae HJ, Chauhan G, Chong MR, Tomppo L, Akinyemi R, Roshchupkin GV, Habib N, Jee YH, Thomassen JQ, Abedi V, Carcel-Marquez J, Nygaard M, Leonard HL, Yang C, Yonova-Doing E, Knol MJ, Lewis AJ, Judy RL, Ago T, Amouyel P, Armstrong ND, Bakker MK, Bartz TM, Bennett DA, Bis JC, Bordes C, Borte S, Cain A, Ridker PM, Cho K, Chen Z, Cruchaga C, Cole JW, de Jager PL, de Cid R, Endres M, Ferreira LE, Geerlings MI, Gasca NC, Gudnason V, Hata J, He J, Heath AK, Ho YL, Havulinna AS, Hopewell JC, Hyacinth HI, Inouye M, Jacob MA, Jeon CE, Jern C, Kamouchi M, Keene KL, Kitazono T, Kittner SJ, Konuma T, Kumar A, Lacaze P, Launer LJ, Lee KJ, Lepik K, Li J, Li L, Manichaikul A, Markus HS, Marston NA, Meitinger T, Mitchell BD, Montellano FA, Morisaki T, Mosley TH, Nalls MA, Nordestgaard BG, O’Donnell MJ, Okada Y, Onland-Moret NC, Ovbiagele B, Peters A, Psaty BM, Rich SS et al (2022) Stroke genetics informs drug discovery and risk prediction across ancestries. Nature 611:115–123. https://doi.org/10.1038/s41586-022-05165-3

Article  CAS  PubMed  PubMed Central  Google Scholar 

Morrison J, Knoblauch N, Marcus JH, Stephens M, He X (2020) Mendelian randomization accounting for correlated and uncorrelated pleiotropic effects using genome-wide summary statistics. Nat Genet 52:740–747. https://doi.org/10.1038/s41588-020-0631-4

Article  CAS  PubMed  PubMed Central  Google Scholar 

Ohira T, Shahar E, Iso H, Chambless LE, Rosamond WD, Sharrett AR, Folsom AR (2011) Carotid artery wall thickness and risk of stroke subtypes: the atherosclerosis risk in communities study. Stroke 42:397–403. https://doi.org/10.1161/STROKEAHA.110.592261

Article  PubMed  Google Scholar 

Pierce BL, Ahsan H, Vanderweele TJ (2011) Power and instrument strength requirements for mendelian randomization studies using multiple genetic variants. Int J Epidemiol 40:740–752. https://doi.org/10.1093/ije/dyq151

Article  PubMed  Google Scholar 

Senis YA, Sangrar W, Zirngibl RA, Craig AW, Lee DH, Greer PA (2003) Fps/Fes and Fer non-receptor protein-tyrosine kinases regulate collagen- and ADP-induced platelet aggregation. J Thromb Haemost 1:1062–1070. https://doi.org/10.1046/j.1538-7836.2003.t01-1-00124.x

Article  CAS  PubMed  Google Scholar 

Shim H, Chasman DI, Smith JD, Mora S, Ridker PM, Nickerson DA, Krauss RM, Stephens M (2015) A multivariate genome-wide association analysis of 10 LDL subfractions, and their response to statin treatment, in 1868 caucasians. PLoS ONE 10:e0120758. https://doi.org/10.1371/journal.pone.0120758

Article  CAS  PubMed  PubMed Central  Google Scholar 

Sudlow C, Gallacher J, Allen N, Beral V, Burton P, Danesh J, Downey P, Elliott P, Green J, Landray M, Liu B, Matthews P, Ong G, Pell J, Silman A, Young A, Sprosen T, Peakman T, Collins R (2015) UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age. PLoS Med 12:e1001779. https://doi.org/10.1371/journal.pmed.1001779

Article  PubMed  PubMed Central  Google Scholar 

Traylor M, Persyn E, Tomppo L, Klasson S, Abedi V, Bakker MK, Torres N, Li L, Bell S, Rutten-Jacobs L, Tozer DJ, Griessenauer CJ, Zhang Y, Pedersen A, Sharma P, Jimenez-Conde J, Rundek T, Grewal RP, Lindgren A, Meschia JF, Salomaa V, Havulinna A, Kourkoulis C, Crawford K, Marini S, Mitchell BD, Kittner SJ, Rosand J, Dichgans M, Jern C, Strbian D, Fernandez-Cadenas I, Zand R, Ruigrok Y, Rost N, Lemmens R, Rothwell PM, Anderson CD, Wardlaw J, Lewis CM, Markus HS, Helsinki Stroke SDPI-CASG, National Institute of Neurological D, Stroke Stroke Genetics, Investigators N (2021) UDLSS, International Stroke Genetics C Genetic basis of lacunar stroke: a pooled analysis of individual patient data and genome-wide association studies. Lancet Neurol 20: 351–361.

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