Fabiola Del Greco M
A5018242273- Genetic Associations and Epidemiology
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Folate and B Vitamins Research
- Birth, Development, and Health
- Cardiac electrophysiology and arrhythmias
- Metabolomics and Mass Spectrometry Studies
- Liver Disease Diagnosis and Treatment
- Parkinson's Disease Mechanisms and Treatments
- Hormonal Regulation and Hypertension
- Bioinformatics and Genomic Networks
- Nutrition, Genetics, and Disease
- Adipokines, Inflammation, and Metabolic Diseases
- Iron Metabolism and Disorders
- Thyroid Disorders and Treatments
- Growth Hormone and Insulin-like Growth Factors
- Diet, Metabolism, and Disease
- Health, Environment, Cognitive Aging
- Genetics and Neurodevelopmental Disorders
- Sleep and related disorders
- Adipose Tissue and Metabolism
- Renin-Angiotensin System Studies
- Ion channel regulation and function
- Pesticide Exposure and Toxicity
- Molecular Biology Techniques and Applications
Institute for Biomedicine
2015-2024
Eurac Research
2015-2024
University of Lübeck
2011-2022
Leiden University Medical Center
2021
Leiden University
2021
University Hospital Schleswig-Holstein
2019
Imperial College Healthcare NHS Trust
2017
University College London
2017
Imperial College London
2013-2017
Erasmus MC
2017
Mendelian randomization (MR) uses genetic data to probe questions of causality in epidemiological research, by invoking the Instrumental Variable (IV) assumptions. In recent years, it has become commonplace attempt MR analyses synthesising summary estimates association gleaned from large and independent study populations. This is referred as two‐sample MR. Unfortunately, due sheer number variants that can be easily included into analyses, increasingly likely some do not meet IV assumptions...
Background: MR-Egger regression has recently been proposed as a method for Mendelian randomization (MR) analyses incorporating summary data estimates of causal effect from multiple individual variants, which is robust to invalid instruments. It can be used test directional pleiotropy and provides an estimate the adjusted its presence. useful additional sensitivity analysis standard inverse variance weighted (IVW) approach that assumes all variants are valid Both methods use weights consider...
Mendelian randomisation (MR) estimates causal effects of modifiable phenotypes on an outcome by using genetic variants as instrumental variables, but its validity relies the assumption no pleiotropy, that is, genes influence only through given phenotype. Excluding pleiotropy is difficult, use multiple instruments can indirectly address issue: if all represent valid instruments, their MR should vary chance. The Sargan test detects when individual phenotype, and genotype data are measured in...
data furnishing a two-sample Mendelian randomization (MR) study are often visualized with the aid of scatter plot, in which single-nucleotide polymorphism (SNP)-outcome associations plotted against SNP-exposure to provide an immediate picture causal-effect estimate for each individual variant. It is also convenient overlay standard inverse-variance weighted (IVW) causal effect as fitted slope, see whether SNP provides evidence that supports, or conflicts with, overall consensus....
Two-sample summary-data Mendelian randomization (MR) incorporating multiple genetic variants within a meta-analysis framework is popular technique for assessing causality in epidemiology. If all satisfy the instrumental variable (IV) and necessary modelling assumptions, then their individual ratio estimates of causal effect should be homogeneous. Observed heterogeneity signals that one or more these assumptions could have been violated.Causal estimation assessment MR require an approximation...
Abstract Background With genome-wide association data for many exposures and outcomes now available from large biobanks, one-sample Mendelian randomization (MR) is increasingly used to investigate causal relationships. Many robust MR methods are address pleiotropy, but these assume independence between the gene-exposure gene-outcome estimates. Unlike in two-sample MR, two estimates obtained same individuals, assumption of does not hold presence confounding. Methods simulations mimicking a...
Abstract Leptin is an adipocyte-secreted hormone, the circulating levels of which correlate closely with overall adiposity. Although rare mutations in leptin ( LEP ) gene are well known to cause deficiency and severe obesity, no common loci regulating have been uncovered. Therefore, we performed a genome-wide association study (GWAS) from 32,161 individuals followed up reaching P <10 −6 19,979 additional individuals. We identify five robustly associated <5 × 10 −8 in/near , SLC32A1...
Although levels of iron are known to be increased in the brains patients with Parkinson disease (PD), epidemiological evidence on a possible effect blood PD risk is inconclusive, effects reported opposite directions. Epidemiological studies suffer from problems confounding and reverse causation, mendelian randomization (MR) represents an alternative approach provide unconfounded estimates biomarkers disease. We performed MR study where genes modify were used as instruments estimate risk,...
Elevated blood pressure is a major risk factor for cardiovascular disease and has substantial genetic contribution. Genetic variation influencing the potential to identify new pharmacological targets treatment of hypertension. To discover additional novel loci, we used 1000 Genomes Project–based imputation in 150 134 European ancestry individuals sought significant evidence independent replication further 228 245 individuals. We report 6 signals association or near HSPB7 , TNXB LRP12...
Myocardial mass is a key determinant of cardiac muscle function and hypertrophy. depolarization leading to contraction reflected by the amplitude duration QRS complex on electrocardiogram (ECG). Abnormal or reflect changes in myocardial conduction, are associated with increased risk heart failure death. This meta-analysis sought gain insights into genetic determinants mass. We carried out genome-wide association 4 traits up 73,518 individuals European ancestry, followed extensive biological...
Understanding the genetic architecture of cardiac structure and function may help to prevent treat heart disease. This investigation sought identify common variations associated with inter-individual variability in function.
Mitochondria play an important role in cellular metabolism, and their dysfunction is postulated to be involved metabolic disturbances. Mitochondrial DNA present multiple copies per cell. The quantification of mitochondrial copy number (mtDNA-CN) might used assess dysfunction.
Abstract There is increasing evidence for inflammation as a determinant in the pathogenesis of Parkinson’s disease, but its role parkinsonian neurodegeneration remains elusive. It not clear whether inflammatory cascades are causes or consequences dopamine neuron death. In present study, we aim to perform an in-depth statistical investigation causal relationship between and disease using two-sample Mendelian randomization design. Genetic instruments were selected summary-level data from...