Majid Nikpay

ORCID: 0000-0003-0285-6454
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About
Contact & Profiles
Research Areas
  • Genetic Associations and Epidemiology
  • Epigenetics and DNA Methylation
  • RNA modifications and cancer
  • Bioinformatics and Genomic Networks
  • Cancer-related molecular mechanisms research
  • Adipose Tissue and Metabolism
  • Cell Adhesion Molecules Research
  • MicroRNA in disease regulation
  • Lipid metabolism and disorders
  • Genomics and Rare Diseases
  • Adipokines, Inflammation, and Metabolic Diseases
  • Cancer-related gene regulation
  • Atherosclerosis and Cardiovascular Diseases
  • Nutrition and Health in Aging
  • Hormonal Regulation and Hypertension
  • RNA Research and Splicing
  • Lipoproteins and Cardiovascular Health
  • Nutrition, Genetics, and Disease
  • Genetic Mapping and Diversity in Plants and Animals
  • Health, Environment, Cognitive Aging
  • Diet and metabolism studies
  • TGF-β signaling in diseases
  • Immune cells in cancer
  • Pancreatic function and diabetes
  • Cholesterol and Lipid Metabolism

University of Ottawa
2015-2024

Canadian Heart Research Centre
2014-2021

Technical University of Denmark
2016

Karolinska University Hospital
2016

Center for Human Genetics
2013

Amsterdam UMC Location University of Amsterdam
2013

Centre Hospitalier de l’Université de Montréal
2012

Tom R. Webb Jeanette Erdmann Kathleen Stirrups Nathan O. Stitziel Nicholas G. D. Masca and 95 more Henning Jansen Stavroula Kanoni Christopher P. Nelson Paola G. Ferrario Inke R. König John D. Eicher Andrew D. Johnson Stephen E. Hamby Christer Betsholtz Arno Ruusalepp Oscar Franzén Eric E. Schadt Johan Björkegren Peter Weeke Paul L. Auer Ursula M. Schick Yingchang Lu He Zhang Marie‐Pierre Dubé Anuj Goel Martin Farrall Gina M. Peloso Hong‐Hee Won Ron Do Erik Van Iperen Jochen Kruppa Anubha Mahajan Robert A. Scott Christina Willenborg Peter S. Braund Julian C. van Capelleveen Alex S. F. Doney Louise A. Donnelly Rosanna Asselta Pier Angelica Merlini Stefano Duga Nicola Marziliano Joshua C. Denny Christian M. Shaffer Nour Eddine El-Mokhtari André Franke Stefanie Heilmann‐Heimbach Christian Hengstenberg Per Hoffmann Oddgeir L. Holmen Kristian Hveem Jan-Håkan Jansson Karl‐Heinz Jöckel Thorsten Kessler Jennifer Kriebel Karl‐Ludwig Laugwitz Eirini Marouli Nicola Martinelli Mark I. McCarthy Natalie R. van Zuydam Christa Meisinger Tõnu Esko Evelin Mihailov Stefan Andersson Escher Maris Alver Susanne Moebus Andrew D. Morris Jarma Virtamo Majid Nikpay Oliviero Olivieri Sylvie Provost Alaa AlQarawi Neil R. Robertson Karen O. Akinsansya Dermot F. Reilly Thomas Vogt Wu Yin Folkert W. Asselbergs Charles Kooperberg Rebecca D. Jackson Eli A. Stahl Martina Müller‐Nurasyid Konstantin Strauch Tibor V. Varga Mélanie Waldenberger Lingyao Zeng Rajiv Chowdhury Veikko Salomaa Ian Ford J. Wouter Jukema Philippe Amouyel Jukka Kontto Børge G. Nordestgaard Jean Ferrières Danish Saleheen Naveed Sattar Praveen Surendran Aline Wagner Robin Young Joanna M. M. Howson

Genome-wide association studies have so far identified 56 loci associated with risk of coronary artery disease (CAD). Many CAD show pleiotropy; that is, they are also other diseases or traits. This study sought to systematically test if genetic variants for non-CAD diseases/traits associate and undertake a comprehensive analysis the extent pleiotropy all loci. In discovery analyses involving 42,335 cases 78,240 control subjects we tested 29,383 common (minor allele frequency >5%) single...

10.1016/j.jacc.2016.11.056 article EN cc-by Journal of the American College of Cardiology 2017-02-01
Daniel F. Freitag Adam S. Butterworth Peter Willeit Joanna M. M. Howson Stephen Burgess and 95 more Stephen Kaptoge Robin Young Weang-Kee Ho Angela Wood Michael Sweeting Sarah Spackman James R Staley Anna Ramond Eric L. Harshfield Sune F. Nielsen Peer Grande Leslie A. Lange Matthew J. Bown Gregory T. Jones Robert A. Scott Steve Bevan Eleonora Porcu Gudmar Thorleifsson Lingyao Zeng Thorsten Kessler Majid Nikpay Ron Do Weihua Zhang Jemma C. Hopewell Marcus E. Kleber Graciela E. Delgado Christopher P. Nelson Anuj Goel Joshua C. Bis Abbas Dehghan Symen Ligthart Albert V. Smith Liming Qu Femke N. G. van ’t Hof P. Bakker Annette F. Baas André van Rij Gerard Tromp Helena Kuivaniemi Marylyn D. Ritchie Shefali S. Verma Dana C. Crawford Jennifer Malinowski Mariza de Andrade Iftikhar J. Kullo Peggy Peissig Catherine A. McCarty Erwin P. Böttinger Omri Gottesman David R. Crosslin David Carrell Laura J. Rasmussen‐Torvik Jennifer A. Pacheco Jie Huang Nicholas J. Timpson Johannes Kettunen Mika Ala‐Korpela Gary F. Mitchell Afshin Parsa Ian B. Wilkinson Mathias Gorski Yong Li Nora Franceschini Margaux F. Keller Santhi K. Ganesh Carl D. Langefeld Lucie Bruijn Matthew A. Brown David M. Evans Svetlana Baltic Manuel A. R. Ferreira Hansjörg Baurecht Stephan Weidinger Andre Franke Steven A. Lubitz Martina Müller‐Nurasyid Janine F. Felix Nicholas Smith Marc Sudman Susan D. Thompson Eleftheria Zeggini Kalliope Panoutsopoulou Mike A. Nalls Andrew Singleton Constantin Polychronakos Jonathan P. Bradfield Hákon Hákonarson Douglas F. Easton Deborah J. Thompson Ian Tomlinson Malcolm G. Dunlop Kari Hemminki Gareth J. Morgan Timothy Eisen Hartmut Goldschmidt

To investigate potential cardiovascular and other effects of long-term pharmacological interleukin 1 (IL-1) inhibition, we studied genetic variants that produce inhibition IL-1, a master regulator inflammation. We created score combining the alleles two common (rs6743376 rs1542176) are located upstream IL1RN, gene encoding IL-1 receptor antagonist (IL-1Ra; an endogenous inhibitor both IL-1α IL-1β); increase soluble IL-1Ra protein concentration. compared on inflammation biomarkers this with...

10.1016/s2213-8587(15)00034-0 article EN cc-by-nc-nd The Lancet Diabetes & Endocrinology 2015-02-26

To identify genetic variants that have a regulatory impact on circulating microRNAs (miRNAs) and to connect risk blood traits/biomarkers through the miRNAs.Leveraging miRNA-Seq data 1000 Genomes imputed genotypes, we carried out genome-wide association analysis for SNPs regulate expression of miRNAs in sample 710 unrelated subjects European ancestry. Wherever possible, used from Framingham Geuvadis studies replicate our findings. We found at least one significant (P < 5e-8) miRNA-eQTL...

10.1093/cvr/cvz030 article EN Cardiovascular Research 2019-01-29

Objective— A recent genome-wide association study meta-analysis identified an intronic single nucleotide polymorphism in SMAD3 , rs56062135C&gt;T, the minor allele (T) which associates with protection from coronary artery disease. Relevant to atherosclerosis, is a key contributor transforming growth factor-β pathway signaling. Here, we seek identify ≥1 causal disease–associated polymorphisms at locus and characterize mechanisms whereby risk allele(s) contribute disease risk. Approach...

10.1161/atvbaha.116.307294 article EN Arteriosclerosis Thrombosis and Vascular Biology 2016-03-11

Background The TRIB 1 locus has been linked to hepatic triglyceride metabolism in mice and plasma triglycerides coronary artery disease humans. lipid‐associated single nucleotide polymorphisms ( SNP s), identified by genome‐wide association studies, are located ≈30 kb downstream from 1, suggesting complex regulatory effects on genes or pathways relevant metabolism. goal of this study was investigate the functional relationship between common s at lipid traits. Methods Results...

10.1161/jaha.114.000884 article EN cc-by-nc-nd Journal of the American Heart Association 2014-05-22

Links between substance use habits, obesity, stress and the related cardiovascular outcomes can be, in part, because of loci with pleiotropic effects. To investigate this hypothesis, we performed genome-wide mapping 119 multigenerational families from a population Saguenay-Lac-St-Jean region known founder effect using 58 000 single-nucleotide polymorphisms 437 microsatellite markers to identify genetic components following factors: habitual alcohol, tobacco coffee use; response mental...

10.1038/hr.2011.233 article EN cc-by-nc-nd Hypertension Research 2012-02-02

Recent genome-wide association studies have identified multiple loci robustly associated with plasma lipids, which also contribute to extreme lipid phenotypes. However, these common genetic variants explain <12% of variation in traits. Adiposity is an important determinant lipoproteins, particularly TGs and HDL cholesterol (HDLc) concentrations. Thus, interactions between genes clinical phenotypes may this unexplained heritability. We applied a weighted risk score (GRS) for both HDLc two...

10.1194/jlr.p052522 article EN cc-by Journal of Lipid Research 2014-09-16

With the availability of genome-wide genotype data from GWAS studies, it is now possible to compute genetic relatedness among individuals and estimate its contribution (SNP-based heritability) phenotypic variance using Mixed-Linear-Models (MLMs). The estimated heritability can be partitioned according biological features gain insight into architecture a disease. Here, we aimed examine structure coronary artery disease (CAD).We investigated CAD 3,163,082 autosomal SNPs (MAF ≥ 0.01) MLMs in...

10.1093/cvr/cvx019 article EN Cardiovascular Research 2017-01-30

Abstract Background Accelerated reproductive aging, in women indicated by early natural menopause, is associated with increased coronary heart disease (CHD) risk observational studies. Conversely, an adverse CHD profile has been suggested to accelerate menopause. Objectives To study the direction and evidence for causality of relationship between aging (non-)fatal factors a bidirectional Mendelian randomization (MR) approach, using age at menopause (ANM) genetic variants as measure...

10.1210/clinem/dgac171 article EN cc-by-nc-nd The Journal of Clinical Endocrinology & Metabolism 2022-03-20

There is ongoing controversy as to whether obesity confers risk for CAD independently of associated factors including diabetes mellitus. We have carried out a Mendelian randomization study using genetic score (GRS) body mass index (BMI) based on 35 alleles investigate this question in population 5831 early onset cases without mellitus and 3832 elderly healthy control subjects, all strictly European ancestry, with adjustment traditional (TRFs). then estimated the correlation between these BMI...

10.1038/ejhg.2015.162 article EN cc-by-nc-nd European Journal of Human Genetics 2015-07-29

Background and aimsA recently identified locus for coronary artery disease (CAD) tagged by rs8042271 is in a region of tight linkage disequilibrium (LD) between 2 genes (MFGE8, ABHD2) previously linked to atherosclerosis. Here we have explored the regulatory framework this identify its functional relationship CAD.MethodsThe CAD Associated Region MFGE8 ABHD2 (CARMA) was investigated bioinformatic approaches transcriptional reporter assays prioritize target putative causal variants. Findings...

10.1016/j.atherosclerosis.2019.02.012 article EN cc-by-nc-nd Atherosclerosis 2019-02-22

The objective of this study is to investigate the extent and nature pleiotropy between coronary artery disease (CAD) body mass index (BMI).We examined contribution genome-wide single-nucleotide polymorphisms (minor allele frequency ≥0.01) co-occurrence CAD BMI in a sample genetically unrelated 8041 subjects (genetic resemblance ≤0.025) European ancestry using mixed-linear-models. We further partitioned estimated according biological features gain insight into BMI.We found significant...

10.1161/circgen.117.002050 article EN Circulation Genomic and Precision Medicine 2018-02-01

Previous high throughput screening studies indicated trans-eQTLs tend to be tissue specific. In this study, I probed if feature can used identify tissue-specific gene regulatory networks. eQTL data (P&amp;lt;5e-8) for 16,259 genes were identified and their summary association statistics obtained from the eQTLGene database. Next, eQTLs that display both cis trans effects selected between corresponding examined using Mendelian randomization. A total of 169 exerted trans-regulatory impacts on...

10.20944/preprints202401.0546.v2 preprint EN 2024-04-08

Inter-individual variability in weight loss during obesity treatment is complex and poorly understood. Here we use whole body tissue approaches to investigate fuel oxidation characteristics skeletal muscle fibers, cells distinct circulating protein biomarkers before after a high fat meal (HFM) challenge those who lost the most (obese diet-sensitive; ODS) vs least diet-resistant; ODR) amount of highly controlled management program. In 20 stable-matched ODS ODR women previously completed...

10.1038/ijo.2017.286 article EN cc-by-nc-nd International Journal of Obesity 2017-11-20

Here, we performed a genome-wide search for methylation sites that contribute to the risk of obesity. We integrated quantitative trait locus (mQTL) data with BMI GWAS information through SNP-based multiomics approach identify genomic regions where mQTLs site co-localize obesity SNPs. then tested whether identified contributed Mendelian randomization. multiple causally contributing validated these findings replication stage. By integrating expression (eQTL) data, noted lower at cg21178254...

10.3390/nu13061984 article EN Nutrients 2021-06-09

In this study, we aimed to investigate functional mechanisms underlying coronary artery disease (CAD) loci and find molecular biomarkers for CAD.We devised a multiomics data analysis approach based on Mendelian randomization utilized it search causally associated with the risk of CAD within genomic regions known be CAD.Through our CAD-centered approach, identified 33 (probes) that were CAD. The majority these (N=19) methylation probes; moreover, was often behind causal effect...

10.1161/circgen.119.002876 article EN Circulation Genomic and Precision Medicine 2020-09-24

Fibronectin (FN1) is an essential regulator of homodynamic processes and tissue remodeling that have been proposed to contribute atherosclerosis. Moreover, recent large-scale genome-wide association studies (GWAS) linked common genetic variants within the FN1 gene coronary artery disease risk.Public databases were analyzed by 2-Sample Mendelian Randomization. Expression constructs encoding short reporter full-length plasma introduced in various cell models. Secreted cellular levels then...

10.1161/circgen.121.003428 article EN cc-by-nc-nd Circulation Genomic and Precision Medicine 2022-02-07
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