• English
    • Ελληνικά
    • Deutsch
    • français
    • italiano
    • español
  • español 
    • English
    • Ελληνικά
    • Deutsch
    • français
    • italiano
    • español
  • Login
Ver ítem 
  •   DSpace Principal
  • Επιστημονικές Δημοσιεύσεις Μελών ΠΘ (ΕΔΠΘ)
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ.
  • Ver ítem
  •   DSpace Principal
  • Επιστημονικές Δημοσιεύσεις Μελών ΠΘ (ΕΔΠΘ)
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ.
  • Ver ítem
JavaScript is disabled for your browser. Some features of this site may not work without it.
Todo DSpace
  • Comunidades & Colecciones
  • Por fecha de publicación
  • Autores
  • Títulos
  • Materias

Apolipoprotein E Polymorphism and Left Ventricular Failure in Beta-Thalassemia: A Multivariate Meta-Analysis

Thumbnail
Autor
Dimou N.L., Pantavou K.G., Bagos P.G.
Fecha
2017
Language
en
DOI
10.1111/ahg.12203
Materia
apolipoprotein E
apolipoprotein E
allele
ApoE gene
Article
beta thalassemia
disease severity
echocardiography
gene
genetic association
genetic polymorphism
genetic risk
heart left ventricle failure
homozygote
human
multivariate analysis
priority journal
symptomatology
adolescent
adult
beta thalassemia
child
complication
female
genetic predisposition
genetics
heart left ventricle function
male
meta analysis
middle aged
pathophysiology
preschool child
risk factor
Adolescent
Adult
Apolipoproteins E
beta-Thalassemia
Child
Child, Preschool
Female
Genetic Predisposition to Disease
Humans
Male
Middle Aged
Multivariate Analysis
Polymorphism, Genetic
Risk Factors
Ventricular Function, Left
Blackwell Publishing Ltd
Mostrar el registro completo del ítem
Resumen
Apolipoprotein E (ApoE) is potentially a genetic risk factor for the development of left ventricular failure (LVF), the main cause of death in beta-thalassemia homozygotes. In the present study, we synthesize the results of independent studies examining the effect of ApoE on LVF development in thalassemic patients through a meta-analytic approach. However, all studies report more than one outcome, as patients are classified into three groups according to the severity of the symptoms and the genetic polymorphism. Thus, a multivariate meta-analytic method that addresses simultaneously multiple exposures and multiple comparison groups was developed. Four individual studies were included in the meta-analysis involving 613 beta-thalassemic patients and 664 controls. The proposed method that takes into account the correlation of log odds ratios (log(ORs)), revealed a statistically significant overall association (P-value = 0.009), mainly attributed to the contrast of E4 versus E3 allele for patients with evidence (OR: 2.32, 95% CI: 1.19, 4.53) or patients with clinical and echocardiographic findings (OR: 3.34, 95% CI: 1.78, 6.26) of LVF. This study suggests that E4 is a genetic risk factor for LVF in beta-thalassemia major. The presented multivariate approach can be applied in several fields of research. © 2017 John Wiley & Sons Ltd/University College London
URI
http://hdl.handle.net/11615/73358
Colecciones
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ. [19735]

Ítems relacionados

Mostrando ítems relacionados por Título, autor o materia.

  • Thumbnail

    Evaluation of the interaction between LRRK2 and PARK16 loci in determining risk of Parkinson's disease: analysis of a large multicenter study 

    Wang L., Heckman M.G., Aasly J.O., Annesi G., Bozi M., Chung S.J., Clarke C., Crosiers D., Eckstein G., Garraux G., Hadjigeorgiou G.M., Hattori N., Jeon B., Kim Y.J., Kubo M., Lesage S., Lin J.J., Lynch T., Lichtner P., Mellick G.D., Mok V., Morrison K.E., Quattrone A., Satake W., Silburn P.A., Stefanis L., Stockton J.D., Tan E.K., Toda T., Brice A., Van Broeckhoven C., Uitti R.J., Wirdefeldt K., Wszolek Z., Xiromerisiou G., Maraganore D.M., Gasser T., Krüger R., Farrer M.J., Ross O.A., Sharma M. (2017)
    A recent study MacLeod et al. has shown that an interaction between variants at the LRRK2 and PARK16 loci influences risk of development of Parkinson's disease (PD). Our study examines the proposed interaction between LRRK2 ...
  • Thumbnail

    Deciphering osteoarthritis genetics across 826,690 individuals from 9 populations 

    Boer C.G., Hatzikotoulas K., Southam L., Stefánsdóttir L., Zhang Y., Coutinho de Almeida R., Wu T.T., Zheng J., Hartley A., Teder-Laving M., Skogholt A.H., Terao C., Zengini E., Alexiadis G., Barysenka A., Bjornsdottir G., Gabrielsen M.E., Gilly A., Ingvarsson T., Johnsen M.B., Jonsson H., Kloppenburg M., Luetge A., Lund S.H., Mägi R., Mangino M., Nelissen R.R.G.H.H., Shivakumar M., Steinberg J., Takuwa H., Thomas L.F., Tuerlings M., Loughlin J., Arden N., Birrell F., Carr A., Deloukas P., Doherty M., McCaskie A.W., Ollier W.E.R., Rai A., Ralston S.H., Spector T.D., Wallis G.A., Martinsen A.E., Willer C., Fors E.A., Mundal I., Hagen K., Nilsen K.B., Lie M.U., Børte S., Brumpton B., Nielsen J.B., Fritsche L.G., Zhou W., Heuch I., Storheim K., Tyrpenou E., Koukakis A., Chytas D., Evangelopoulos D.S., Efstathios C., Pneumaticos S., Nikolaou V.S., Malizos K., Anastasopoulou L., Abecasis G., Baras A., Cantor M., Coppola G., Deubler A., Economides A., Lotta L.A., Overton J.D., Reid J.G., Shuldiner A., Karalis K., Siminovitch K., Beechert C., Forsythe C., Fuller E.D., Gu Z., Lattari M., Lopez A., Schleicher T.D., Padilla M.S., Widom L., Wolf S.E., Pradhan M., Manoochehri K., Bai X., Balasubramanian S., Boutkov B., Eom G., Habegger L., Hawes A., Krasheninina O., Lanche R., Mansfield A.J., Maxwell E.K., Nafde M., O'Keeffe S., Orelus M., Panea R., Polanco T., Rasool A., Salerno W., Staples J.C., Li D., Sharma D., Banerjee I., Bovijn J., Locke A., Verweij N., Haas M., Hindy G., De T., Akbari P., Sosina O., Ferreira M.A.R., Jones M.B., Mighty J., LeBlanc M.G., Mitnaul L.J., Babis G.C., Cheung J.P.Y., Kang J.H., Kraft P., Lietman S.A., Samartzis D., Slagboom P.E., Stefansson K., Thorsteinsdottir U., Tobias J.H., Uitterlinden A.G., Winsvold B., Zwart J.-A., Davey Smith G., Sham P.C., Thorleifsson G., Gaunt T.R., Morris A.P., Valdes A.M., Tsezou A., Cheah K.S.E., Ikegawa S., Hveem K., Esko T., Wilkinson J.M., Meulenbelt I., Lee M.T.M., van Meurs J.B.J., Styrkársdóttir U., Zeggini E., arcOGEN Consortium, HUNT All-In Pain, ARGO Consortium, Regeneron Genetics Center (2021)
    Osteoarthritis affects over 300 million people worldwide. Here, we conduct a genome-wide association study meta-analysis across 826,690 individuals (177,517 with osteoarthritis) and identify 100 independently associated ...
  • Thumbnail

    International Consensus on the Use of Genetics in the Management of Hereditary Angioedema 

    Germenis A.E., Margaglione M., Pesquero J.B., Farkas H., Cichon S., Csuka D., Lera A.L., Rijavec M., Jolles S., Szilagyi A., Trascasa M.L., Veronez C.L., Drouet C., Zamanakou M., Andrejevic S., Aygören-Pürsün E., Bara N.-A., Bernstein J., Bork K., Bouillet L., Bova M., Boysen H.H., Bygum A., Caballero T., Castaldo A., Christiansen S., Cicardi M., Fabiani J., Katelaris C., Dewald G., Gökmen N.M., Gonzalez-Quevedo M.T., Gooi J., Grivcheva-Panovska V., Grumach A., Hakl R., Hardy G., Jesenak M., Kaplan A., Kirschfink M., Köhalmi K.V., Leibovich I., Longhurst H.J., Lumry W., Magerl M., Saguer I.M., Nagy I.B., Nieto S., Nordenfelt P., Porębski G., Psarros F., Reshef A., Riedl M.A., Sheikh F., Peter S., Speletas M., Staevska M., Stobiecki M., Triggiani M., Veszeli N., Waserman S., Weber C., Wuillemin W., Zuraw B. (2020)
    Hereditary angioedema (HAE) is becoming much more genetically complex than was initially considered. Thus, the role of HAE genetics is expanding beyond research laboratories, and the genotyping of subjects suffering from ...
htmlmap 

 

Listar

Todo DSpaceComunidades & ColeccionesPor fecha de publicaciónAutoresTítulosMateriasEsta colecciónPor fecha de publicaciónAutoresTítulosMaterias

Mi cuenta

AccederRegistro
Help Contact
DepositionAboutHelpContacto
Choose LanguageTodo DSpace
EnglishΕλληνικά
htmlmap