scholarly journals Shared genetic aetiology between cognitive functions and physical and mental health in UK Biobank (N = 112 151) and 24 GWAS consortia.

2015 ◽  
Author(s):  
Saskia P Hagenaars ◽  
Sarah E Harris ◽  
Gail Davies ◽  
William David Hill ◽  
David CM Liewald ◽  
...  
Keyword(s):  
Physical Health ◽  
Test Scores ◽  
Genome Wide Association Study ◽  
Genetic Correlations ◽  
Cognitive Test ◽  
Uk Biobank ◽  
Genome Wide ◽  
The Uk ◽  
Mental And Physical Health ◽  
Shared Genetic

The causes of the known associations between poorer cognitive function and many adverse neuropsychiatric outcomes, poorer physical health, and earlier death remain unknown. We used linkage disequilibrium regression and polygenic profile scoring to test for shared genetic aetiology between cognitive functions and neuropsychiatric disorders and physical health. Using information provided by many published genome-wide association study consortia, we created polygenic profile scores for 24 vascular-metabolic, neuropsychiatric, physiological-anthropometric, and cognitive traits in the participants of UK Biobank, a very large population-based sample (N = 112 151). Pleiotropy between cognitive and health traits was quantified by deriving genetic correlations using summary genome-wide association study statistics applied to the method of linkage disequilibrium regression. Substantial and significant genetic correlations were observed between cognitive test scores in the UK Biobank sample and many of the mental and physical health-related traits and disorders assessed here. In addition, highly significant associations were observed between the cognitive test scores in the UK Biobank sample and many polygenic profile scores, including coronary artery disease, stroke, Alzheimer's disease, schizophrenia, autism, major depressive disorder, BMI, intracranial volume, infant head circumference, and childhood cognitive ability. Where disease diagnosis was available for UK Biobank participants we were able to show that these results were not confounded by those who had the relevant disease. These findings indicate that a substantial level of pleiotropy exists between cognitive abilities and many human mental and physical health disorders and traits and that it can be used to predict phenotypic variance across samples.

scholarly journals A genome-wide association study finds novel genetic associations with broadly-defined headache in UK Biobank (N = 223,773)

2017 ◽  
Author(s):  
Weihua Meng ◽  
Mark J Adams ◽  
Harry L Hebert ◽  
Ian J Deary ◽  
Andrew M McIntosh ◽  
...  
Keyword(s):  
Association Study ◽  
Genome Wide Association Study ◽  
Genetic Correlations ◽  
Genome Wide Association ◽  
Uk Biobank ◽  
Genetic Associations ◽  
Psychological Traits ◽  
Genome Wide ◽  
A Genome ◽  
The Uk

AbstractHeadache is the most common neurological symptom and a leading cause of years lived with disability. We sought to identify the genetic variants associated with a broadly-defined headache phenotype in 223,773 subjects from the UK Biobank cohort. We defined headache based on a specific question answered by the UK Biobank participants. We performed a genome-wide association study of headache as a single entity, using 74,461 cases and 149,312 controls. We identified 3,343 SNPs which reached the genome-wide significance level of P < 5 × 10−8. The SNPs were located in 28 loci, with the top SNP of rs11172113 in the LRP1 gene having a P value of 4.92 × 10−47. Of the 28 loci, 14 have previously been associated with migraine. Among 14 new loci, rs77804065 with a P value of 5.87 × 10−15 in the LINC02210-CRHR1 gene was the top SNP.Positive relationships (P < 0.001) between multiple brain tissues and genetic associations were identified through tissue expression analysis, whereas no vascular related tissues showed significant relationships. We identified several significant positive genetic correlations between headache and other psychological traits including neuroticism, depressive symptoms, insomnia, and major depressive disorder.Our results suggest that brain function is closely related to broadly-defined headache. In addition, we also found that many psychological traits have genetic correlations with headache.

scholarly journals Genome-wide analysis of self-reported risk-taking behaviour and cross-disorder genetic correlations in the UK Biobank cohort

2017 ◽  
Author(s):  
Rona J. Strawbridge ◽  
Joey Ward ◽  
Breda Cullen ◽  
Elizabeth M. Tunbridge ◽  
Sarah Hartz ◽  
...  
Keyword(s):  
Psychiatric Disorders ◽  
Risk Taking ◽  
Genome Wide Association Study ◽  
Genetic Correlations ◽  
Uk Biobank ◽  
Physical And Mental Health ◽  
Post Traumatic Stress ◽  
Genome Wide ◽  
A Genome ◽  
The Uk

AbstractRisk-taking behaviour is a key component of several psychiatric disorders and could influence lifestyle choices such as smoking, alcohol use and diet. As a phenotype, risk-taking behaviour therefore fits within a Research Domain Criteria (RDoC) approach, whereby identifying genetic determinants of this trait has the potential to improve our understanding across different psychiatric disorders. Here we report a genome wide association study in 116 255 UK Biobank participants who responded yes/no to the question “Would you consider yourself a risk-taker?” Risk-takers (compared to controls) were more likely to be men, smokers and have a history of psychiatric disorder. Genetic loci associated with risk-taking behaviour were identified on chromosomes 3 (rs13084531) and 6 (rs9379971). The effects of both lead SNPs were comparable between men and women. The chromosome 3 locus highlights CADM2, previously implicated in cognitive and executive functions, but the chromosome 6 locus is challenging to interpret due to the complexity of the HLA region. Risk-taking behaviour shared significant genetic risk with schizophrenia, bipolar disorder, attention deficit hyperactivity disorder and post-traumatic stress disorder, as well as with smoking and total obesity. Despite being based on only a single question, this study furthers our understanding of the biology of risk-taking behaviour, a trait which has a major impact on a range of common physical and mental health disorders.

scholarly journals Heritability And Genetic Correlations For Hormone-Sensitive Cancers In The UK Biobank: A Molecular Evidence of Shared Aetiology

2021 ◽  
Author(s):  
Muktar Ahmed ◽  
Ville-Petteri Mäkinen ◽  
Anwar Mulugeta ◽  
Jisu Shin ◽  
Terry Boyle ◽  
...  
Keyword(s):  
Genome Wide Association Study ◽  
Genetic Correlations ◽  
Significant Proportion ◽  
Molecular Evidence ◽  
Nucleotide Polymorphisms ◽  
Uk Biobank ◽  
Genome Wide ◽  
A Genome ◽  
Hormone Sensitive ◽  
The Uk

Abstract Hormone-related cancers, including cancers of the breast, prostate, ovaries, uterine, and thyroid, globally contribute to the majority of cancer incidence. We hypothesize that hormone-sensitive cancers share common genetic risk factors that have rarely been investigated by previous genomic studies of site-specific cancers. To test this hypothesis, we analysed five hormone-sensitive cancers in the UK Biobank as a single disease. We observed that a significant proportion of variance in disease liability was explained by the genome-wide single nucleotide polymorphisms (SNPs), i.e., SNP-based heritability on the liability scale was estimated as 10.06% (SE 0.70%) for the disease. Moreover, we found 55 genome-wide significant SNPs for the disease, using a genome-wide association study. Our finding suggests that heritable genetic factors may be a key driver in the mechanism of carcinogenesis shared by hormone-sensitive cancers.

scholarly journals Genetic overlap between Alzheimer’s disease and depression mapped onto the brain

2021 ◽  
Author(s):  
Jennifer Monereo Sánchez ◽  
Miranda T. Schram ◽  
Oleksandr Frei ◽  
Kevin O’Connell ◽  
Alexey A. Shadrin ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Genome Wide Association Study ◽  
Brain Mri ◽  
Genetic Correlations ◽  
Gaussian Mixture ◽  
Brain Morphology ◽  
Uk Biobank ◽  
Genetic Overlap ◽  
The Uk

ABSTRACTBackgroundAlzheimer’s disease (AD) and depression are debilitating brain disorders that are often comorbid. Shared brain mechanisms have been implicated, yet findings are inconsistent, reflecting the complexity of the underlying pathophysiology. As both disorders are (partly) heritable, characterizing their genetic overlap may provide etiological clues. While previous studies have indicated negligible genetic correlations, this study aims to expose the genetic overlap that may remain hidden due to mixed directions of effects.MethodsWe applied Gaussian mixture modelling, through MiXeR, and conjunctional false discovery rate (cFDR) analysis, through pleioFDR, to genome-wide association study (GWAS) summary statistics of AD (n=79,145) and depression (n=450,619). The effects of identified overlapping loci on AD and depression were tested in 403,029 participants of the UK Biobank (mean age 57.21 52.0% female), and mapped onto brain morphology in 30,699 individuals with brain MRI data.ResultsMiXer estimated 98 causal genetic variants overlapping between the two disorders, with 0.44 concordant directions of effects. Through pleioFDR, we identified a SNP in the TMEM106B gene, which was significantly associated with AD (B=-0.002, p=9.1×10−4) and depression (B=0.007, p=3.2×10−9) in the UK Biobank. This SNP was also associated with several regions of the corpus callosum volume anterior (B>0.024, p<8.6×10−4), third ventricle volume ventricle (B=-0.025, p=5.0×10−6), and inferior temporal gyrus surface area (B=0.017, p=5.3×10−4).DiscussionOur results indicate there is substantial genetic overlap, with mixed directions of effects, between AD and depression. These findings illustrate the value of biostatistical tools that capture such overlap, providing insight into the genetic architectures of these disorders.

scholarly journals Genome-Wide Association Meta-Analysis Supports Genes Involved in Valve and Cardiac Development to Associate With Mitral Valve Prolapse

2021 ◽  
Author(s):  
Mengyao Yu ◽  
Sergiy Kyryachenko ◽  
Stephanie Debette ◽  
Philippe Amouyel ◽  
Jean-Jacques Schott ◽  
...  
Keyword(s):  
Mitral Valve ◽  
Association Study ◽  
Genome Wide Association Study ◽  
Cardiac Development ◽  
Meta Analysis ◽  
Genome Wide Association ◽  
Uk Biobank ◽  
Additional Risk ◽  
Genome Wide ◽  
The Uk

Background: Mitral valve prolapse (MVP) is a common cardiac valve disease, which affects 1 in 40 in the general population. Previous genome-wide association study have identified 6 risk loci for MVP. But these loci explained only partially the genetic risk for MVP. We aim to identify additional risk loci for MVP by adding data set from the UK Biobank. Methods: We reanalyzed 1007/479 cases from the MVP-France study, 1469/862 controls from the MVP-Nantes study for reimputation genotypes using HRC and TOPMed panels. We also incorporated 434 MVP cases and 4527 controls from the UK Biobank for discovery analyses. Genetic association was conducted using SNPTEST and meta-analyses using METAL. We used FUMA for post-genome-wide association study annotations and MAGMA for gene-based and gene-set analyses. Results: We found TOPMed imputation to perform better in terms of accuracy in the lower ranges of minor allele frequency below 0.1. Our updated meta-analysis included UK Biobank study for ≈8 million common single-nucleotide polymorphisms (minor allele frequency >0.01) and replicated the association on Chr2 as the top association signal near TNS1 . We identified an additional risk locus on Chr1 ( SYT2 ) and 2 suggestive risk loci on chr8 ( MSRA ) and chr19 ( FBXO46 ), all driven by common variants. Gene-based association using MAGMA revealed 6 risk genes for MVP with pronounced expression levels in cardiovascular tissues, especially the heart and globally part of enriched GO terms related to cardiac development. Conclusions: We report an updated meta-analysis genome-wide association study for MVP using dense imputation coverage and an improved case-control sample. We describe several loci and genes with MVP spanning biological mechanisms highly relevant to MVP, especially during valve and heart development.

scholarly journals Genetic correlations between pain phenotypes and depression and neuroticism

2019 ◽  
Vol 28 (3) ◽  
pp. 358-366 ◽  
Author(s):  
Weihua Meng ◽  
Mark J. Adams ◽  
Parminder Reel ◽  
Aravind Rajendrakumar ◽  
Yu Huang ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Depressive Disorders ◽  
Genetic Correlations ◽  
The Body ◽  
Uk Biobank ◽  
Major Depressive ◽  
Genetic Mechanisms ◽  
Major Depressive Disorders ◽  
The Uk ◽  
Shared Genetic

Abstract Correlations between pain phenotypes and psychiatric traits such as depression and the personality trait of neuroticism are not fully understood. In this study, we estimated the genetic correlations of eight pain phenotypes (defined by the UK Biobank, n = 151,922–226,683) with depressive symptoms, major depressive disorders and neuroticism using the the cross-trait linkage disequilibrium score regression (LDSC) method integrated in the LD Hub. We also used the LDSC software to calculate the genetic correlations among pain phenotypes. All pain phenotypes, except hip pain and knee pain, had significant and positive genetic correlations with depressive symptoms, major depressive disorders and neuroticism. All pain phenotypes were heritable, with pain all over the body showing the highest heritability (h2 = 0.31, standard error = 0.072). Many pain phenotypes had positive and significant genetic correlations with each other indicating shared genetic mechanisms. Our results suggest that pain, neuroticism and depression share partially overlapping genetic risk factors.

Abstract 14653: Genome-wide Association Study of Peripheral Artery Disease and Critical Limb Ischemia Identifies Novel Genetic Loci and Coagulation Pathways

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Chayakrit Krittanawong ◽  
Jagat Narula ◽  
Kipp W Johnson ◽  
Navneet Narula ◽  
Jeffrey S Berger ◽  
...  
Keyword(s):  
Genome Wide Association Study ◽  
Limb Ischemia ◽  
Case Control ◽  
Uk Biobank ◽  
Bonferroni Correction ◽  
Peripheral Artery ◽  
Genetic Loci ◽  
Genome Wide ◽  
Artery Disease ◽  
The Uk

Introduction: The pathogenesis of peripheral artery disease (PAD) and critical limb ischemia (CLI) are poorly understood. Hypothesis: We hypothesize that genetic factors related to abnormalities in coagulation or fibrinolysis, in addition to atherosclerosis, could play an important role in PAD patients and PAD with CLI patients. Methods: A genome-wide association study (GWAS) was performed testing for associations between single-nucleotide variants (SNVs) and PAD case-control (3,190 cases and 463,495 controls) and subgroup analysis of PAD with CLI case-control (142 cases and 3,048 controls) in the UK Biobank cohort. To further validate the results, we selected SNVs with the most significant Cochrane-Armitage trend p values without evidence of strong linkage disequilibrium (r2 > 0.8) for PAD with CLI case-control in the BioMe Biobank. We tested for association using BOLT-LMM with adjustment for age, sex, BMI, and the first ten principal components to control for population structure. The SNV association tests' significance level was set at P < 5x10–8 after Bonferroni correction. Results: 363 SNVs from 81 genetic loci reached the threshold for statistical significance based on a Bonferroni correction (p <5x10–8). (Figure) We then performed a subgroup analysis between PAD patients and PAD with CLI patients in the UK Biobank. We identified 63 SNVs with 52 genetic loci independent for PAD with CLI in the UK Biobank. We further validated those 63 SNVs with 52 genetic loci in the BioMe Biobank. In the validation cohort, 2 genetic loci ( PLG and CDKN2B ) were independent for PAD with CLI. On pathway analyses, we identify several new loci that implicate thrombotic, inflammation, glycosaminoglycan synthesis, coagulation, and fibrinolytic pathways involved in PAD along with known atherosclerosis pathways (p <0.05). Conclusions: We show that PLG gene related to coagulation pathways in PAD may play an important role in coagulation-related PAD pathogenesis.

scholarly journals Genome-wide analysis of self-reported risk-taking behaviour and cross-disorder genetic correlations in the UK Biobank cohort

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Rona J. Strawbridge ◽  
Joey Ward ◽  
Breda Cullen ◽  
Elizabeth M. Tunbridge ◽  
Sarah Hartz ◽  
...  
Keyword(s):  
Risk Taking ◽  
Genetic Correlations ◽  
Uk Biobank ◽  
Genome Wide Analysis ◽  
Genome Wide ◽  
The Uk

scholarly journals A novel variant in GLIS3 is associated with osteoarthritis

2018 ◽  
Vol 77 (4) ◽  
pp. 620-623 ◽  
Author(s):  
Elisabetta Casalone ◽  
Ioanna Tachmazidou ◽  
Eleni Zengini ◽  
Konstantinos Hatzikotoulas ◽  
Sophie Hackinger ◽  
...  
Keyword(s):  
Complex Disease ◽  
Genome Wide Association Study ◽  
Total Joint Replacement ◽  
Population Based ◽  
Uk Biobank ◽  
Proteomics Data ◽  
Glucose Levels ◽  
Genome Wide ◽  
A Genome ◽  
The Uk

ObjectivesOsteoarthritis (OA) is a complex disease, but its genetic aetiology remains poorly characterised. To identify novel susceptibility loci for OA, we carried out a genome-wide association study (GWAS) in individuals from the largest UK-based OA collections to date.MethodsWe carried out a discovery GWAS in 5414 OA individuals with knee and/or hip total joint replacement (TJR) and 9939 population-based controls. We followed-up prioritised variants in OA subjects from the interim release of the UK Biobank resource (up to 12 658 cases and 50 898 controls) and our lead finding in operated OA subjects from the full release of UK Biobank (17 894 cases and 89 470 controls). We investigated its functional implications in methylation, gene expression and proteomics data in primary chondrocytes from 12 pairs of intact and degraded cartilage samples from patients undergoing TJR.ResultsWe detect a genome-wide significant association at rs10116772 with TJR (P=3.7×10−8; for allele A: OR (95% CI) 0.97 (0.96 to 0.98)), an intronic variant in GLIS3, which is expressed in cartilage. Variants in strong correlation with rs10116772 have been associated with elevated plasma glucose levels and diabetes.ConclusionsWe identify a novel susceptibility locus for OA that has been previously implicated in diabetes and glycaemic traits.

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