scholarly journals Do Genomic Factors Play a Role in Diabetic Retinopathy?

2020 ◽  
Vol 9 (1) ◽  
pp. 216 ◽  
Author(s):  
Andrea P. Cabrera ◽  
Finny Monickaraj ◽  
Sampathkumar Rangasamy ◽  
Sam Hobbs ◽  
Paul McGuire ◽  
...  
Keyword(s):  
Diabetic Retinopathy ◽  
Proliferative Diabetic Retinopathy ◽  
Clinical Evidence ◽  
Association Studies ◽  
Lipid Level ◽  
Genome Wide Association Studies ◽  
Long Duration ◽  
Genome Wide ◽  
Novel Biomarkers ◽  
Candidate Gene Studies

Although there is strong clinical evidence that the control of blood glucose, blood pressure, and lipid level can prevent and slow down the progression of diabetic retinopathy (DR) as shown by landmark clinical trials, it has been shown that these factors only account for 10% of the risk for developing this disease. This suggests that other factors, such as genetics, may play a role in the development and progression of DR. Clinical evidence shows that some diabetics, despite the long duration of their diabetes (25 years or more) do not show any sign of DR or show minimal non-proliferative diabetic retinopathy (NPDR). Similarly, not all diabetics develop proliferative diabetic retinopathy (PDR). So far, linkage analysis, candidate gene studies, and genome-wide association studies (GWAS) have not produced any statistically significant results. We recently initiated a genomics study, the Diabetic Retinopathy Genetics (DRGen) Study, to examine the contribution of rare and common variants in the development of different phenotypes of DR, as well as their responsiveness to anti-VEGF treatment in diabetic macular edema (DME). Our preliminary findings reveal a novel set of genetic variants involved in the angiogenesis and inflammatory pathways that contribute to DR progression or protection. Further investigation of variants can help to develop novel biomarkers and lead to new therapeutic targets in DR.

scholarly journals Genotypes and Phenotypes: A Search for Influential Genes in Diabetic Retinopathy

2020 ◽  
Vol 21 (8) ◽  
pp. 2712
Author(s):  
Andrea P. Cabrera ◽  
Rushi N. Mankad ◽  
Lauren Marek ◽  
Ryan Das ◽  
Sampath Rangasamy ◽  
...  
Keyword(s):  
Diabetic Retinopathy ◽  
Complex Traits ◽  
Association Studies ◽  
Genome Wide Association Studies ◽  
Metabolic Dysfunction ◽  
Duration Of Diabetes ◽  
Gene Environment ◽  
Genome Wide ◽  
Novel Biomarkers

Although gene–environment interactions are known to play an important role in the inheritance of complex traits, it is still unknown how a genotype and the environmental factors result in an observable phenotype. Understanding this complex interaction in the pathogenesis of diabetic retinopathy (DR) remains a big challenge as DR appears to be a disease with heterogenous phenotypes with multifactorial influence. In this review, we examine the natural history and risk factors related to DR, emphasizing distinct clinical phenotypes and their natural course in retinopathy. Although there is strong evidence that duration of diabetes and metabolic factors play a key role in the pathogenesis of DR, accumulating new clinical studies reveal that this disease can develop independently of duration of diabetes and metabolic dysfunction. More recently, studies have emphasized the role of genetic factors in DR. However, linkage analyses, candidate gene studies, and genome-wide association studies (GWAS) have not produced any statistically significant results. Our recently initiated genomics study, the Diabetic Retinopathy Genomics (DRGen) Study, aims to examine the contribution of rare and common variants in the development DR, and how they can contribute to clinical phenotype, rate of progression, and response to available therapies. Our preliminary findings reveal a novel set of genetic variants associated with proangiogenic and inflammatory pathways that may contribute to DR pathogenesis. Further investigation of these variants is necessary and may lead to development of novel biomarkers and new therapeutic targets in DR.

Genome-Wide Association Studies Identify Two Novel Loci Conferring Susceptibility to Diabetic Retinopathy in Japanese Patients with Type 2 Diabetes

2021 ◽  
Author(s):  
Minako Imamura ◽  
Atsushi Takahashi ◽  
Masatoshi Matsunami ◽  
Momoko Horikoshi ◽  
Minoru Iwata ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Diabetic Retinopathy ◽  
Association Studies ◽  
Meta Analysis ◽  
Japanese Patients ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Genome Wide ◽  
Stage 1

Abstract Several reports have suggested that genetic susceptibility contributes to the development and progression of diabetic retinopathy. We aimed to identify genetic loci that confer susceptibility to diabetic retinopathy in Japanese patients with type 2 diabetes. We analysed 5 790 508 single nucleotide polymorphisms (SNPs) in 8880 Japanese patients with type 2 diabetes, 4839 retinopathy cases and 4041 controls, as well as 2217 independent Japanese patients with type 2 diabetes, 693 retinopathy cases, and 1524 controls. The results of these two genome-wide association studies (GWAS) were combined with an inverse variance meta-analysis (Stage-1), followed by de novo genotyping for the candidate SNP loci (p < 1.0 × 10−4) in an independent case–control study (Stage-2, 2260 cases and 723 controls). After combining the association data (Stage-1 and -2) using meta-analysis, the associations of two loci reached a genome-wide significance level: rs12630354 near STT3B on chromosome 3, p = 1.62 × 10−9, odds ratio (OR) = 1.17, 95% confidence interval (CI) 1.11–1.23, and rs140508424 within PALM2 on chromosome 9, p = 4.19 × 10−8, OR = 1.61, 95% CI 1.36–1.91. However, the association of these two loci were not replicated in Korean, European, or African American populations. Gene-based analysis using Stage-1 GWAS data identified a gene-level association of EHD3 with susceptibility to diabetic retinopathy (p = 2.17 × 10−6). In conclusion, we identified two novel SNP loci, STT3B and PALM2, and a novel gene, EHD3, that confers susceptibility to diabetic retinopathy; however, further replication studies are required to validate these associations.

scholarly journals The genetic overlap between mood disorders and cardio-metabolic diseases: A systematic review of genome wide and candidate gene studies

2017 ◽  
Author(s):  
Azmeraw T. Amare ◽  
Klaus Oliver Schubert ◽  
Sarah Cohen-Woods ◽  
Bernhard T. Baune
Keyword(s):  
Candidate Gene ◽  
Mood Disorders ◽  
Metabolic Diseases ◽  
Association Studies ◽  
Lithium Treatment ◽  
Axonal Guidance ◽  
Genome Wide Association Studies ◽  
R Genes ◽  
Genome Wide ◽  
Candidate Gene Studies

ABSTRACTMeta-analyses of genome-wide association studies (meta-GWAS) and candidate gene studies have identified genetic variants associated with cardiovascular diseases, metabolic diseases, and mood disorders. Although previous efforts were successful for individual disease conditions (single disease), limited information exists on shared genetic risk between these disorders. This article presents a detailed review and analysis of cardio-metabolic diseases risk (CMD-R) genes that are also associated with mood disorders. Firstly, we reviewed meta-GWA studies published until January 2016, for the diseases “type 2 diabetes, coronary artery disease, hypertension” and/or for the risk factors “blood pressure, obesity, plasma lipid levels, insulin and glucose related traits”. We then searched the literature for published associations of these CMD-R genes with mood disorders. We considered studies that reported a significant association of at least one of the CMD-R genes and “depressive disorder” OR “depressive symptoms” OR “bipolar disorder” OR “lithium treatment”, OR “serotonin reuptake inhibitors treatment”. Our review revealed 24 potential pleiotropic genes that are likely to be shared between mood disorders and CMD-Rs. These genes include MTHFR, CACNA1D, CACNB2, GNAS, ADRB1, NCAN, REST, FTO, POMC, BDNF, CREB, ITIH4, LEP, GSK3B, SLC18A1, TLR4, PPP1R1B, APOE, CRY2, HTR1A, ADRA2A, TCF7L2, MTNR1B, and IGF1. A pathway analysis of these genes revealed significant pathways: corticotrophin-releasing hormone signaling, AMPK signaling, cAMP-mediated or G-protein coupled receptor signaling, axonal guidance signaling, serotonin and dopamine receptors signaling, dopamine-DARPP32 feedback in cAMP signaling, circadian rhythm signaling and leptin signaling. Our findings provide insights in to the shared biological mechanisms of mood disorders and cardio-metabolic diseases.

Genetics of osteoarthritis

2013 ◽  
Author(s):  
Alex MacGregor ◽  
Ana Valdes ◽  
Frances M. K. Williams
Keyword(s):  
Joint Pain ◽  
Genetic Basis ◽  
Association Studies ◽  
Genome Wide Association Studies ◽  
Pain Processing ◽  
Large Samples ◽  
Asian Populations ◽  
Genome Wide ◽  
Candidate Gene Studies ◽  
Related Individuals

In this chapter we outline the approaches which have been adopted to identify genetic variants predisposing to osteoarthritis (OA), a condition long recognized as having a heritable component. Such routes to their identification include examining mendelian traits in which OA is a feature, candidate gene studies based on knowledge of OA pathobiology, linkage analysis in related individuals, and, more recently, genome-wide association studies in large samples of unrelated individuals. It is increasingly evident that the main symptom deriving from OA—notably joint pain—also has a genetic basis but this is differs from that underlying OA. Variants convincingly shown to predispose to OA lie in the GDF5 and MCF2L genes and in the chr7 cluster mapping to the COG5 gene, in addition to the ASPN gene in Asian populations. Those associated with pain in OA include TRPV1 and PACE4. Epigenetic influences are also being explored in both the pathogenesis of OA and the variation of pain processing.

Genetics of osteoarthritis

2013 ◽  
pp. 331-335
Author(s):  
Alex MacGregor ◽  
Ana Valdes ◽  
Frances M. K. Williams
Keyword(s):  
Genetic Variants ◽  
Joint Pain ◽  
Association Studies ◽  
Genome Wide Association Studies ◽  
Pain Processing ◽  
Main Symptom ◽  
Asian Populations ◽  
Genome Wide ◽  
Candidate Gene Studies ◽  
Related Individuals

In this chapter we outline the approaches which have been adopted to identify genetic variants predisposing to osteoarthritis (OA), a condition long recognized as having a heritable component. Such routes to their identification include examining mendelian traits in which OA is a feature, candidate gene studies based on knowledge of OA pathobiology, linkage analysis in related individuals, and, more recently, genome-wide association studies in large samples of unrelated individuals. It is increasingly evident that the main symptom deriving from OA—notably joint pain—also has a genetic basis but this is differs from that underlying OA. Variants convincingly shown to predispose to OA lie in the GDF5 and MCF2L genes and in the chr7 cluster mapping to the COG5 gene, in addition to the ASPN gene in Asian populations. Those associated with pain in OA include TRPV1 and PACE4. Epigenetic influences are also being explored in both the pathogenesis of OA and the variation of pain processing.

scholarly journals A Brief Review of Genetic Approaches to the Study of Food Preferences: Current Knowledge and Future Directions

Nutrients ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 1735 ◽  
Author(s):  
Robino ◽  
Concas ◽  
Catamo ◽  
Gasparini
Keyword(s):  
Current Knowledge ◽  
Association Studies ◽  
Food Selection ◽  
Food Preferences ◽  
Twin Studies ◽  
Genome Wide Association Studies ◽  
Future Directions ◽  
Genome Wide ◽  
Assessment Approach ◽  
Candidate Gene Studies

Genetic variation plays a crucial role in individual differences in food preferences which ultimately influence food selection and health. Our current understanding of this pathway has been informed through twin studies (to assess the heritability of food preferences), candidate gene studies, and genome-wide association studies (GWAS). However, most of this literature is mainly focused on genes previously identified as having taste or smell functions. New data suggests that genes not associated with taste or smell perception may be involved in food preferences and contribute to health outcomes. This review highlights these emerging findings and suggests a polygenic risk assessment approach to explore new relationships between food preferences and health risks.

scholarly journals Dissection of the FCGR3A association with RA: increased association in men and with autoantibody positive disease

2009 ◽  
Vol 69 (6) ◽  
pp. 1054-1057 ◽  
Author(s):  
James I Robinson ◽  
Jennifer H Barrett ◽  
John C Taylor ◽  
Marc Naven ◽  
Diane Corscadden ◽  
...  
Keyword(s):  
Association Studies ◽  
Genome Wide Association Studies ◽  
Genome Wide ◽  
Increased Risk ◽  
Multiplicative Effect ◽  
Specific Subgroup ◽  
Autoantibody Status ◽  
Candidate Gene Studies ◽  
Subgroup Effects ◽  
Citrullinated Peptide

ObjectivesGenome-wide association studies in rheumatoid arthritis (RA) have failed to examine the FCGR gene cluster because of the confounding effects of segmental duplication. This study aimed to replicate previous candidate gene studies that had identified a significant association between the FCGR3A-158V allele and RA and then sought to estimate specific subgroup effects.MethodsFCGR3A-158F/V genotyping was undertaken in a UK Caucasian replication cohort comprising 2049 patients with RA and 1156 controls. Subgroup analyses assessing the magnitude of association according to gender and autoantibody (rheumatoid factor (RF) and cyclic citrullinated peptide (CCP)) status were undertaken in a pooled cohort of 2963 patients with RA and 1731 controls. Logistic regression was used to test for interaction between FCGR3A and HLA-DRB1 shared epitope (SE) alleles.ResultsIn the combined RA cohort, borderline association with homozygosity was found for the FCGR3A-158V allele (OR 1.2, p=0.05), which was stronger in men (OR 1.7, p=0.01). Stratification by autoantibody status showed an increased risk in RF and CCP positive RA. Analysis of the FCGR3A-158V and HLA-DRB1 SE interaction revealed roles for both genes in susceptibility to autoantibody positive RA, with no evidence of interaction.ConclusionsFCGR3A is a risk factor for the development of autoantibody positive RA, particularly in men, with evidence of a multiplicative effect with HLA-DRB1 SE.

scholarly journals Role of genetics in the prediction of statin-associated muscle symptoms and optimization of statin use and adherence

2018 ◽  
Vol 114 (8) ◽  
pp. 1073-1081 ◽  
Author(s):  
Liam R Brunham ◽  
Steven Baker ◽  
Andrew Mammen ◽  
G B John Mancini ◽  
Robert S Rosenson
Keyword(s):  
Cardiovascular Events ◽  
Association Studies ◽  
Individual Variability ◽  
Atherosclerotic Cardiovascular Disease ◽  
Genome Wide Association Studies ◽  
Genome Wide ◽  
Candidate Gene Studies ◽  
Personalized Approach ◽  
Statin Adherence

AbstractStatin therapy reduces cardiovascular events in patients with, or at risk of, atherosclerotic cardiovascular disease. However, statins are underutilized in patients for whom they are indicated and are frequently discontinued. Discontinuation may be the result of statin-associated muscle symptoms (SAMS), which encompass a broad spectrum of clinical phenotypes from myalgia to severe myopathy. As with many adverse drug reactions (ADRs), inter-individual variability in susceptibility to SAMS is due, at least in part, to differences in host genetics. The genetic basis for SAMS has been investigated in candidate gene studies, genome-wide association studies, and, more recently, studies of multi-omic networks, including at the transcriptome level. In this article, we provide a systematic review of the pharmacogenetic basis of SAMS, focusing on how an understanding of the genetic and molecular determinants of SAMS can be considered in a personalized approach to reduce the incidence of this ADR, optimize statin adherence, and reduce the risk for cardiovascular events.

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