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.

scholarly journals Hypothesis-driven candidate genes for schizophrenia compared to genome-wide association results

2011 ◽  
Vol 42 (3) ◽  
pp. 607-616 ◽  
Author(s):  
A. L. Collins ◽  
Y. Kim ◽  
P. Sklar ◽  
M. C. O'Donovan ◽  
P. F. Sullivan ◽  
...  
Keyword(s):  
Genetic Variation ◽  
Candidate Gene ◽  
Candidate Genes ◽  
Association Studies ◽  
Human Diseases ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Common Genetic Variation ◽  
Genome Wide ◽  
Candidate Gene Studies

BackgroundCandidate gene studies have been a key approach to the genetics of schizophrenia (SCZ). However, the results of these studies are confusing and no genes have been unequivocally implicated. The hypothesis-driven candidate gene literature can be appraised by comparison with the results of genome-wide association studies (GWAS).MethodWe describe the characteristics of hypothesis-driven candidate gene studies from the SZGene database, and use pathway analysis to compare hypothesis-driven candidate genes with GWAS results from the International Schizophrenia Consortium (ISC).ResultsSZGene contained 732 autosomal genes evaluated in 1374 studies. These genes had poor statistical power to detect genetic effects typical for human diseases, assessed only 3.7% of genes in the genome, and had low marker densities per gene. Most genes were assessed once or twice (76.9%), providing minimal ability to evaluate consensus across studies. The ISC studies had 89% power to detect a genetic effect typical for common human diseases and assessed 79% of known autosomal common genetic variation. Pathway analyses did not reveal enrichment of smaller ISCpvalues in hypothesis-driven candidate genes, nor did a comprehensive evaluation of meta-hypotheses driving candidate gene selection (SCZ as a disease of the synapse or neurodevelopment). The most studied hypothesis-driven candidate genes (COMT,DRD3,DRD2,HTR2A,NRG1,BDNF,DTNBP1andSLC6A4) had no notable ISC results.ConclusionsWe did not find support for the idea that the hypothesis-driven candidate genes studied in the literature are enriched for the common genetic variation involved in the etiology of SCZ. Larger samples are required to evaluate this conclusion definitively.

Molecular Trait Psychology

2019 ◽  
pp. 237-254
Author(s):  
Turhan Canli
Keyword(s):  
Molecular Biology ◽  
Personality Traits ◽  
Candidate Gene ◽  
Genome Editing ◽  
Association Studies ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Genome Wide ◽  
Candidate Gene Studies

This chapter discusses the field of molecular psychology, which applies the tools of molecular biology (e.g., candidate gene studies, genome-wide association studies, optogenetics, genome editing) to the study of behavior and its underlying neural structures and functions. Specifically, the chapter reports on research that applies these tools to personality traits.

Candidate gene-based association genetics analysis of herbage quality traits in perennial ryegrass (Lolium perenne L.)

2013 ◽  
Vol 64 (3) ◽  
pp. 244 ◽  
Author(s):  
L. W. Pembleton ◽  
J. Wang ◽  
N. O. I. Cogan ◽  
J. E. Pryce ◽  
G. Ye ◽  
...  
Keyword(s):  
Association Mapping ◽  
Candidate Gene ◽  
Perennial Ryegrass ◽  
Association Studies ◽  
Phenotypic Variance ◽  
Genome Wide Association Studies ◽  
Quality Traits ◽  
Near Infrared Reflectance ◽  
Genome Wide ◽  
Herbage Quality

Due to the complex genetic architecture of perennial ryegrass, based on an obligate outbreeding reproductive habit, association-mapping approaches to genetic dissection offer the potential for effective identification of genetic marker–trait linkages. Associations with genes for agronomic characters, such as components of herbage nutritive quality, may then be utilised for accelerated cultivar improvement using advanced molecular breeding practices. The objective of the present study was to evaluate the presence of such associations for a broad range of candidate genes involved in pathways of cell wall biosynthesis and carbohydrate metabolism. An association-mapping panel composed from a broad range of non-domesticated and varietal sources was assembled and assessed for genome-wide sequence polymorphism. Removal of significant population structure obtained a diverse meta-population (220 genotypes) suitable for association studies. The meta-population was established with replication as a spaced-plant field trial. All plants were genotyped with a cohort of candidate gene-derived single nucleotide polymorphism (SNP) markers. Herbage samples were harvested at both vegetative and reproductive stages and were measured for a range of herbage quality traits using near infrared reflectance spectroscopy. Significant associations were identified for ~50% of the genes, accounting for small but significant components of phenotypic variance. The identities of genes with associated SNPs were largely consistent with detailed knowledge of ryegrass biology, and they are interpreted in terms of known biochemical and physiological processes. Magnitudes of effect of observed marker–trait gene association were small, indicating that future activities should focus on genome-wide association studies in order to identify the majority of causal mutations for complex traits such as forage quality.

scholarly journals Genome-Wide Association Study of Body Fat Distribution identifies Novel Adiposity Loci and Sex-Specific Genetic Effects

2017 ◽  
Author(s):  
Mathias Rask-Andersen ◽  
Torgny Karlsson ◽  
Weronica E Ek ◽  
Åsa Johansson
Keyword(s):  
Body Fat ◽  
Genome Wide Association Study ◽  
Metabolic Diseases ◽  
Association Studies ◽  
Fat Distribution ◽  
Body Fat Distribution ◽  
The Body ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Genome Wide

Body mass and body fat composition are of clinical interest due to their links to cardiovascular- and metabolic diseases. Fat stored in the trunk has been suggested as more pathogenic compared to fat stored in other compartments of the body. In this study, we performed genome-wide association studies (GWAS) for the proportion of body fat distributed to the arms, legs and trunk estimated from segmental bio-electrical impedance analysis (sBIA) for 362,499 individuals from the UK Biobank. A total of 97 loci, were identified to be associated with body fat distribution, 40 of which have not previously been associated with an anthropometric trait. A high degree of sex-heterogeneity was observed and associations were primarily observed in females, particularly for distribution of fat to the legs or trunk. Our findings also implicate that body fat distribution in females involves mesenchyme derived tissues and cell types, female endocrine tissues a well as several enzymatically active members of the ADAMTS family of metalloproteinases, which are involved in extracellular matrix maintenance and remodeling.

scholarly journals Precision Mapping of a Maize MAGIC Population Identified a Candidate Gene for the Senescence-Associated Physiological Traits

2021 ◽  
Vol 12 ◽  
Author(s):  
Marlon Caicedo ◽  
Eduardo D. Munaiz ◽  
Rosa A. Malvar ◽  
José C. Jiménez ◽  
Bernardo Ordas
Keyword(s):  
Candidate Gene ◽  
Defense Mechanism ◽  
Agronomic Traits ◽  
Association Studies ◽  
Recombinant Inbred Lines ◽  
Sugar Transport ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Genome Wide ◽  
Important Trait

Senescence is an important trait in maize (Zea mais L.), a key crop that provides nutrition values and a renewable source of bioenergy worldwide. Genome-wide association studies (GWAS) can be used to identify causative genetic variants that influence the major physiological measures of senescence, which is used by plants as a defense mechanism against abiotic and biotic stresses affecting its performance. We measured four physiological and two agronomic traits that affect senescence. Six hundred seventy-two recombinant inbred lines (RILs) were evaluated in two consecutive years. Thirty-six candidate genes were identified by genome-wide association study (GWAS), and 11 of them were supported by additional evidence for involvement in senescence-related processes including proteolysis, sugar transport, and sink activity. We identified a candidate gene, Zm00001d043586, significantly associated with chlorophyll, and independently studied its transcription expression in an independent panel. Our results showed that Zm00001d043586 affects chlorophyl rate degradation, a key determinant of senescence, at late plant development stages. These results contribute to better understand the genetic relationship of the important trait senescence with physiology related parameters in maize and provide new putative molecular markers that can be used in marker assisted selection for line development.

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.

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