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Ioanna Ntalla
Queen Mary University of London
85Publications
28H-index
2,800Citations
Publications 85
Newest
#1Tuomas O. Kilpelaeinen (ISMMS: Icahn School of Medicine at Mount Sinai)H-Index: 33
#2Amy R. Bentley (NIH: National Institutes of Health)H-Index: 16
Last.Ruth Loos (ISMMS: Icahn School of Medicine at Mount Sinai)H-Index: 111
view all 237 authors...
Many genetic loci affect circulating lipid levels, but it remains unknown whether lifestyle factors, such as physical activity, modify these genetic effects. To identify lipid loci interacting with physical activity, we performed genome-wide analyses of circulating HDL cholesterol, LDL cholesterol, and triglyceride levels in up to 120,979 individuals of European, African, Asian, Hispanic, and Brazilian ancestry, with follow-up of suggestive associations in an additional 131,012 individuals. We f...
#1Shuyang Yao (KI: Karolinska Institutet)H-Index: 5
#2Ralf Kuja-Halkola (KI: Karolinska Institutet)H-Index: 22
Last.Henrik Larsson (Örebro University)H-Index: 58
view all 215 authors...
Abstract Background Although attention-deficit/hyperactivity disorder (ADHD) and eating disorders (EDs) frequently co-occur, little is known about the shared etiology. In this study, we comprehensively investigated the genetic association between ADHD and various EDs, including anorexia nervosa (AN) and other EDs such as bulimia nervosa. Methods We applied different genetically informative designs to register-based information of a Swedish nationwide population (N = 3,550,118). We first examined...
#1Melissa A. Munn-Chernoff (UNC: University of North Carolina at Chapel Hill)H-Index: 10
#2Emma C. Johnson (WashU: Washington University in St. Louis)H-Index: 3
Last.Arpana Agrawal (WashU: Washington University in St. Louis)H-Index: 50
view all 352 authors...
Eating disorders and substance use disorders frequently co-occur. Twin studies reveal shared genetic variance between liabilities to eating disorders and substance use, with the strongest associations between symptoms of bulimia nervosa (BN) and problem alcohol use (genetic correlation [rg], twin-based=0.23-0.53). We estimated the genetic correlation between eating disorder and substance use and disorder phenotypes using data from genome-wide association studies (GWAS). Four eating disorder phen...
#1Lixia Zeng (TUM: Technische Universität München)H-Index: 15
#2Ioanna Ntalla (QMUL: Queen Mary University of London)H-Index: 28
Last.Heribert Schunkert (TUM: Technische Universität München)H-Index: 104
view all 10 authors...
#1Yun J. Sung (WashU: Washington University in St. Louis)H-Index: 7
#2L de Las Fuentes (WashU: Washington University in St. Louis)H-Index: 2
Last.Alanna C. Morrison (University of Texas Health Science Center at Houston)H-Index: 44
view all 279 authors...
U.S. National Heart, Lung, and Blood Institute (NHLBI) (K25HL121091 to Y.J.S.); National Institutes of Health (R01HL118305).
#1Ioanna Ntalla (QMUL: Queen Mary University of London)H-Index: 28
#2Lu-Chen Weng (Harvard University)H-Index: 17
Last.Patricia B. Munroe (QMUL: Queen Mary University of London)H-Index: 74
view all 187 authors...
The electrocardiographic PR interval reflects atrioventricular conduction, and is associated with conduction abnormalities, pacemaker implantation, atrial fibrillation (AF), and cardiovascular mortality. We performed multi-ancestry (N=293,051) and European only (N=271,570) genome-wide association (GWAS) meta-analyses for the PR interval, discovering 210 loci of which 149 are novel. Variants at all loci nearly doubled the percentage of heritability explained, from 33.5% to 62.6%. We observed enri...
#1Ioanna Ntalla (QMUL: Queen Mary University of London)H-Index: 28
#2Stavroula Kanoni (QMUL: Queen Mary University of London)H-Index: 51
Last.Heribert Schunkert (TUM: Technische Universität München)H-Index: 104
view all 9 authors...
Abstract Background The taxonomy of cardiovascular (CV) diseases is divided into a broad spectrum of clinical entities. Many such diseases coincide in specific patient groups and suggest shared predisposition. Objectives This study focused on coronary artery disease (CAD) and investigated the genetic relationship to CV and non-CV diseases with reported CAD comorbidity. Methods This study examined 425,196 UK Biobank participants to determine a genetic risk score (GRS) based on 300 CAD associated ...
#1P S de Vries (University of Texas Health Science Center at Houston)H-Index: 4
#2Michael R. Brown (University of Texas Health Science Center at Houston)H-Index: 6
Last.Alanna C. Morrison (University of Texas Health Science Center at Houston)H-Index: 44
view all 264 authors...
A person's lipid profile is influenced by genetic variants and alcohol consumption, but the contribution of interactions between these exposures has not been studied. We therefore incorporated gene-alcohol interactions into a multiancestry genome-wide association study of levels of high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and triglycerides. We included 45 studies in stage 1 (genome-wide discovery) and 66 studies in stage 2 (focused follow-up), for a total of 394...
#1Catherine John (University of Leicester)H-Index: 5
#2Nicola F. Reeve (University of Leicester)H-Index: 3
Last.Martin D. Tobin (University of Leicester)H-Index: 54
view all 28 authors...
Participants have consented to their pseudonymized data being made available to other approved researchers, and we welcome requests for collaboration and data access. Access to the resource requires completion of a proposal form, including a lay summary of the proposed research. Applications to access the resource will be assessed for consistency with the data access policy and with the guidance of the Scientific Committee, which has participant representation. Access to the data will be subject...
#1Nicole M. Warrington (Translational Research Institute)H-Index: 31
#2Robin N. Beaumont (RD&E: Royal Devon and Exeter Hospital)H-Index: 16
Last.Rachel M. Freathy (Medical Research Council)H-Index: 36
view all 208 authors...
Birth weight variation is influenced by fetal and maternal genetic and non-genetic factors, and has been reproducibly associated with future cardio-metabolic health outcomes. In expanded genome-wide association analyses of own birth weight (n = 321,223) and offspring birth weight (n = 230,069 mothers), we identified 190 independent association signals (129 of which are novel). We used structural equation modeling to decompose the contributions of direct fetal and indirect maternal genetic effect...
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