Polymorphisms Affecting Trace Element Bioavailability

2010 ◽  
Vol 80 (45) ◽  
pp. 314-318 ◽  
Author(s):  
John C. Mathers ◽  
Catherine Méplan ◽  
John E. Hesketh
Keyword(s):  
Trace Element ◽  
Individual Variation ◽  
Association Studies ◽  
Copy Number Variants ◽  
Micro Rna ◽  
Future Research ◽  
Genome Wide Association Studies ◽  
Complex Interactions ◽  
Genome Wide ◽  
Genes Encoding

This review outlines the nature of inter-individual variation in trace element bioavailability, focusing on genetic and epigenetic determinants. We note that pathogenic mutations responsible for dangerously high (or low) status for the micronutrient are unlikely to make large contributions to variability in bioavailability among the general population. Prospective genotyping (for variants in genes encoding selenoproteins) of participants in human studies illustrate one approach to understanding the complex interactions between genotype and trace element supply, which determine the functional bioavailability of selenium. Rapid advances in technological and bioinformatics tools; e. g., as used in Genome-Wide Association Studies, are opening new avenues for research on the genetic determinants of inter-individual variation in trace element bioavailability. This may include copy number variants in addition to the more widely studied polymorphisms. Future research on trace element bioavailability should encompass studies of epigenetic variants, including the role of non-coding (micro) RNA.

scholarly journals Four Loci Are Associated with Cardiorespiratory Fitness and Endurance Performance in Young Chinese Females

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Ying Zhao ◽  
Guoyuan Huang ◽  
Zuosong Chen ◽  
Xiang Fan ◽  
Tao Huang ◽  
...  
Keyword(s):  
Cardiorespiratory Fitness ◽  
Association Studies ◽  
Endurance Performance ◽  
Young Female ◽  
Future Research ◽  
Genome Wide Association Studies ◽  
Genetic Trait ◽  
Young Females ◽  
Genome Wide ◽  
Fixed Model

AbstractCardiorespiratory fitness (CRF) and endurance performance are characterized by a complex genetic trait with high heritability. Although research has identified many physiological and environmental correlates with CRF, the genetic architecture contributing to CRF remains unclear, especially in non-athlete population. A total of 762 Chinese young female participants were recruited and an endurance run test was used to determine CRF. We used a fixed model of genome-wide association studies (GWAS) for CRF. Genotyping was performed using the Affymetrix Axiom and illumina 1 M arrays. After quality control and imputation, a linear regression-based association analysis was conducted using a total of 5,149,327 variants. Four loci associated with CRF were identified to reach genome-wide significance (P < 5.0 × 10-8), which located in 15q21.3 (rs17240160, P = 1.73 × 10-9, GCOM1), 3q25.31 (rs819865, P = 8.56 × 10-9, GMPS), 21q22.3 (rs117828698, P = 9.59 × 10-9, COL18A1), and 17q24.2 (rs79806428, P = 3.85 × 10-8, PRKCA). These loci (GCOM1, GMPS, COL18A1 and PRKCA) associated with cardiorespiratory fitness and endurance performance in Chinese non-athlete young females. Our results suggest that these gene polymorphisms provide further genetic evidence for the polygenetic nature of cardiorespiratory endurance and be used as genetic biomarkers for future research.

scholarly journals Association of CNVs with methylation variation

2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Xinghua Shi ◽  
Saranya Radhakrishnan ◽  
Jia Wen ◽  
Jin Yun Chen ◽  
Junjie Chen ◽  
...  
Keyword(s):  
Association Studies ◽  
Copy Number Variants ◽  
Cpg Methylation ◽  
Genome Wide Association Studies ◽  
Nucleotide Polymorphisms ◽  
Cellular Phenotype ◽  
Genome Wide ◽  
A Genome ◽  
Physical Interactions ◽  
Trait Locus

Abstract Germline copy number variants (CNVs) and single-nucleotide polymorphisms (SNPs) form the basis of inter-individual genetic variation. Although the phenotypic effects of SNPs have been extensively investigated, the effects of CNVs is relatively less understood. To better characterize mechanisms by which CNVs affect cellular phenotype, we tested their association with variable CpG methylation in a genome-wide manner. Using paired CNV and methylation data from the 1000 genomes and HapMap projects, we identified genome-wide associations by methylation quantitative trait locus (mQTL) analysis. We found individual CNVs being associated with methylation of multiple CpGs and vice versa. CNV-associated methylation changes were correlated with gene expression. CNV-mQTLs were enriched for regulatory regions, transcription factor-binding sites (TFBSs), and were involved in long-range physical interactions with associated CpGs. Some CNV-mQTLs were associated with methylation of imprinted genes. Several CNV-mQTLs and/or associated genes were among those previously reported by genome-wide association studies (GWASs). We demonstrate that germline CNVs in the genome are associated with CpG methylation. Our findings suggest that structural variation together with methylation may affect cellular phenotype.

Pathophysiology and genetic factors in moyamoya disease

2009 ◽  
Vol 26 (4) ◽  
pp. E4 ◽  
Author(s):  
Achal S. Achrol ◽  
Raphael Guzman ◽  
Marco Lee ◽  
Gary K. Steinberg
Keyword(s):  
Moyamoya Disease ◽  
Genetic Factors ◽  
Association Studies ◽  
Vascular Anomalies ◽  
Future Research ◽  
Incomplete Penetrance ◽  
Genome Wide Association Studies ◽  
Research Directions ◽  
Genome Wide ◽  
Future Research Directions

Moyamoya disease is an uncommon cerebrovascular condition characterized by progressive stenosis of the bilateral internal carotid arteries with compensatory formation of an abnormal network of perforating blood vessels providing collateral circulation. The etiology and pathogenesis of moyamoya disease remain unclear. Evidence from histological studies, proteomics, and endothelial progenitor cell analyses suggests new theories underlying the cause of vascular anomalies, including moyamoya disease. Familial moyamoya disease has been noted in as many as 15% of patients, indicating an autosomal dominant inheritance pattern with incomplete penetrance. Genetic analyses in familial moyamoya disease and genome-wide association studies represent promising strategies for elucidating the pathophysiology of this condition. In this review, the authors discuss recent studies that have investigated possible mechanisms underlying the etiology of moyamoya disease, including stem cell involvement and genetic factors. They also discuss future research directions that promise not only to offer new insights into the origin of moyamoya disease but to enhance our understanding of new vessel formation in the CNS as it relates to stroke, vascular anomalies, and tumor growth.

Epidemiology and Genetics of Venous Thromboembolism and Chronic Venous Disease

2021 ◽  
Vol 128 (12) ◽  
pp. 1988-2002
Author(s):  
Richard A. Baylis ◽  
Nicholas L. Smith ◽  
Derek Klarin ◽  
Eri Fukaya
Keyword(s):  
Venous Thromboembolism ◽  
Association Studies ◽  
Venous Hypertension ◽  
Chronic Venous Disease ◽  
Future Research ◽  
Venous Disease ◽  
Genome Wide Association Studies ◽  
Mortality And Morbidity ◽  
Genome Wide ◽  
Venous Thromboembolic

Venous disease is a term that broadly covers both venous thromboembolic disease and chronic venous disease. The basic pathophysiology of venous thromboembolism and chronic venous disease differ as venous thromboembolism results from an imbalance of hemostasis and thrombosis while chronic venous disease occurs in the setting of tissue damage because of prolonged venous hypertension. Both diseases are common and account for significant mortality and morbidity, respectively, and collectively make up a large health care burden. Despite both diseases having well-characterized environmental components, it has been known for decades that family history is an important risk factor, implicating a genetic element to a patient’s risk. Our understanding of the pathogenesis of these diseases has greatly benefited from an expansion of population genetic studies from pioneering familial studies to large genome-wide association studies; we now have multiple risk loci for each venous disease. In this review, we will highlight the current state of knowledge on the epidemiology and genetics of venous thromboembolism and chronic venous disease and directions for future research.

scholarly journals Low tolerance for transcriptional variation at cohesin genes is accompanied by functional links to disease-relevant pathways

2020 ◽  
pp. jmedgenet-2020-107095
Author(s):  
William Schierding ◽  
Julia A Horsfield ◽  
Justin M O'Sullivan
Keyword(s):  
Association Studies ◽  
Genome Wide Association Studies ◽  
Cohesin Complex ◽  
Loss Of Function ◽  
Regulatory Variants ◽  
Genome Wide ◽  
Genes Encoding ◽  
Full Complement ◽  
Transcriptional Changes ◽  
Robust Regulation

Background: The cohesin complex plays an essential role in genome organisation and cell division. A full complement of the cohesin complex and its regulators is important for normal development, since heterozygous mutations in genes encoding these components can be sufficient to produce a disease phenotype. The implication that genes encoding the cohesin subunits or cohesin regulators must be tightly controlled and resistant to variability in expression has not yet been formally tested.Methods: Here, we identify spatial-regulatory connections with potential to regulate expression of cohesin loci (Mitotic: SMC1A, SMC3, STAG1, STAG2, RAD21/RAD21-AS; Meiotic: SMC1B, STAG3, REC8, RAD21L1), cohesin-ring support genes (NIPBL, MAU2, WAPL, PDS5A, PDS5B) and CTCF, including linking their expression to that of other genes. We searched the genome-wide association studies (GWAS) catalogue for SNPs mapped or attributed to cohesin genes by GWAS (GWAS-attributed) and the GTEx catalogue for SNPs mapped to cohesin genes by cis-regulatory variants in one or more of 44 tissues across the human body (expression quantitative trail locus-attributed).Results: Connections that centre on the cohesin ring subunits provide evidence of coordinated regulation that has little tolerance for perturbation. We used the CoDeS3D SNP-gene attribution methodology to identify transcriptional changes across a set of genes coregulated with the cohesin loci that include biological pathways such as extracellular matrix production and proteasome-mediated protein degradation. Remarkably, many of the genes that are coregulated with cohesin loci are themselves intolerant to loss-of-function.Conclusions: The results highlight the importance of robust regulation of cohesin genes and implicate novel pathways that may be important in the human cohesinopathy disorders.

What is the impact of genome-wide supported risk variants for schizophrenia and bipolar disorder on brain structure and function? A systematic review

2015 ◽  
Vol 45 (12) ◽  
pp. 2461-2480 ◽  
Author(s):  
R. Gurung ◽  
D. P. Prata
Keyword(s):  
Bipolar Disorder ◽  
Brain Structure ◽  
Association Studies ◽  
Structure And Function ◽  
Future Research ◽  
Genome Wide Association Studies ◽  
Genome Wide ◽  
Brain Structure And Function ◽  
And Function ◽  
The Impact

The powerful genome-wide association studies (GWAS) revealed common mutations that increase susceptibility for schizophrenia (SZ) and bipolar disorder (BD), but the vast majority were not known to be functional or associated with these illnesses. To help fill this gap, their impact on human brain structure and function has been examined. We systematically discuss this output to facilitate its timely integration in the psychosis research field; and encourage reflection for future research. Irrespective of imaging modality, studies addressing the effect of SZ/BD GWAS risk genes (ANK3, CACNA1C, MHC, TCF4, NRGN, DGKH, PBRM1, NCANandZNF804A) were included. Most GWAS risk variations were reported to affect neuroimaging phenotypes implicated in SZ/BD: white-matter integrity (ANK3andZNF804A), volume (CACNA1CandZNF804A) and density (ZNF804A); grey-matter (CACNA1C, NRGN, TCF4andZNF804A) and ventricular (TCF4) volume; cortical folding (NCAN) and thickness (ZNF804A); regional activation during executive tasks (ANK3, CACNA1C, DGKH, NRGNandZNF804A) and functional connectivity during executive tasks (CACNA1CandZNF804A), facial affect recognition (CACNA1CandZNF804A) and theory-of-mind (ZNF804A); but inconsistencies and non-replications also exist. Further efforts such as standardizing reporting and exploring complementary designs, are warranted to test the reproducibility of these early findings.

Genetic contributions to anxiety disorders: where we are and where we are heading

2021 ◽  
pp. 1-16
Author(s):  
Helga Ask ◽  
Rosa Cheesman ◽  
Eshim S. Jami ◽  
Daniel F. Levey ◽  
Kirstin L. Purves ◽  
...  
Keyword(s):  
Anxiety Disorders ◽  
Psychiatric Disorders ◽  
Large Scale ◽  
Current Knowledge ◽  
Association Studies ◽  
Twin Studies ◽  
Future Research ◽  
Specific Gene ◽  
Genome Wide Association Studies ◽  
Genome Wide

Abstract Anxiety disorders are among the most common psychiatric disorders worldwide. They often onset early in life, with symptoms and consequences that can persist for decades. This makes anxiety disorders some of the most debilitating and costly disorders of our time. Although much is known about the synaptic and circuit mechanisms of fear and anxiety, research on the underlying genetics has lagged behind that of other psychiatric disorders. However, alongside the formation of the Psychiatric Genomic Consortium Anxiety workgroup, progress is rapidly advancing, offering opportunities for future research. Here we review current knowledge about the genetics of anxiety across the lifespan from genetically informative designs (i.e. twin studies and molecular genetics). We include studies of specific anxiety disorders (e.g. panic disorder, generalised anxiety disorder) as well as those using dimensional measures of trait anxiety. We particularly address findings from large-scale genome-wide association studies and show how such discoveries may provide opportunities for translation into improved or new therapeutics for affected individuals. Finally, we describe how discoveries in anxiety genetics open the door to numerous new research possibilities, such as the investigation of specific gene–environment interactions and the disentangling of causal associations with related traits and disorders. We discuss how the field of anxiety genetics is expected to move forward. In addition to the obvious need for larger sample sizes in genome-wide studies, we highlight the need for studies among young people, focusing on specific underlying dimensional traits or components of anxiety.

scholarly journals Personality traits and polymorphisms of genes coding neurotransmitter receptors or transporters: review of single gene and genome-wide association studies

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Szymon Zmorzyński ◽  
Wojciech Styk ◽  
Waldemar Klinkosz ◽  
Justyna Iskra ◽  
Agata Anna Filip
Keyword(s):  
Personality Traits ◽  
Five Factor Model ◽  
Association Studies ◽  
Genome Wide Association ◽  
Cochrane Library ◽  
Neurotransmitter Receptors ◽  
Genome Wide Association Studies ◽  
Genome Wide ◽  
Genes Encoding ◽  
The Relationship

Abstract Background The most popular tool used for measuring personality traits is the Five-Factor Model (FFM). It includes neuroticism, extraversion, openness, agreeableness and conscientiousness. Many studies indicated the association of genes encoding neurotransmitter receptors/transporters with personality traits. The relationship connecting polymorphic DNA sequences and FFM features has been described in the case of genes encoding receptors of cannabinoid and dopaminergic systems. Moreover, dopaminergic system receives inputs from other neurotransmitters, like GABAergic or serotoninergic systems. Methods We searched PubMed Central (PMC), Science Direct, Scopus, Cochrane Library, Web of Science and EBSCO databases from their inception to November 19, 2020, to identify original studies, as well as peer-reviewed studies examining the FFM and its association with gene polymorphisms affecting the neurotransmitter functions in central nervous system. Results Serotonin neurons modulate dopamine function. In gene encoding serotonin transporter protein, SLC6A4, was found polymorphism, which was correlated with openness to experience (in Sweden population), and high scores of neuroticism and low levels of agreeableness (in Caucasian population). The genome-wide association studies (GWASs) found an association of 5q34-q35, 3p24, 3q13 regions with higher scores of neuroticism, extraversion and agreeableness. However, the results for chromosome 3 regions are inconsistent, which was shown in our review paper. Conclusions GWASs on polymorphisms are being continued in order to determine and further understand the relationship between the changes in DNA and personality traits.

scholarly journals Invited review: Genome-wide association analysis for quantitative traits in livestock – a selective review of statistical models and experimental designs

2017 ◽  
Vol 60 (3) ◽  
pp. 335-346 ◽  
Author(s):  
Markus Schmid ◽  
Jörn Bennewitz
Keyword(s):  
Statistical Models ◽  
Complex Traits ◽  
Quantitative Traits ◽  
Association Studies ◽  
Real Data ◽  
Genome Wide Association ◽  
Future Research ◽  
Genome Wide Association Studies ◽  
Livestock Breeding ◽  
Genome Wide

Abstract. Quantitative or complex traits are controlled by many genes and environmental factors. Most traits in livestock breeding are quantitative traits. Mapping genes and causative mutations generating the genetic variance of these traits is still a very active area of research in livestock genetics. Since genome-wide and dense SNP panels are available for most livestock species, genome-wide association studies (GWASs) have become the method of choice in mapping experiments. Different statistical models are used for GWASs. We will review the frequently used single-marker models and additionally describe Bayesian multi-marker models. The importance of nonadditive genetic and genotype-by-environment effects along with GWAS methods to detect them will be briefly discussed. Different mapping populations are used and will also be reviewed. Whenever possible, our own real-data examples are included to illustrate the reviewed methods and designs. Future research directions including post-GWAS strategies are outlined.

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