scholarly journals Genome-wide Association Study identifies two novel loci for Gilles de la Tourette Syndrome

2021 ◽  
Author(s):  
Fotis Tsetsos ◽  
Apostolia Topaloudi ◽  
Pritesh Jain ◽  
Zhiyu Yang ◽  
Dongmei Yu ◽  
...  
Keyword(s):  
Tourette Syndrome ◽  
Genome Wide Association Study ◽  
Neurodevelopmental Disorder ◽  
Published Data ◽  
Volume Data ◽  
Polygenic Risk ◽  
Genome Wide ◽  
A Genome ◽  
Risk Scoring ◽  
Significant Locus

Tourette Syndrome (TS) is a childhood-onset neurodevelopmental disorder of complex genetic architecture, characterized by multiple motor tics and at least one vocal tic persisting for more than one year. We performed a genome-wide meta-analysis integrating a novel TS cohort with previously published data, resulting in a sample size of 6,133 TS individuals and 13,565 ancestry-matched controls. We identified a genome-wide significant locus on chromosome 5q15 and one array-wide significant locus on chromosome 2q24.2. Integration of eQTL, Hi-C and GWAS data implicated the NR2F1 gene and associated lncRNAs within the 5q15 locus, and the RBMS1 gene within the 2q24.2 locus. Polygenic risk scoring using previous GWAS results demonstrated statistically significant ability to predict TS status in the novel cohort. Heritability partitioning identified statistically significant enrichment in brain tissue histone marks, while polygenic risk scoring on brain volume data identified statistically significant associations with right and left putamen volumes. Our work presents novel insights in the neurobiology of TS opening up new directions for future studies.

scholarly journals Genome-wide association study identifies locus at chromosome 2q32.1 associated with syncope and collapse

2019 ◽  
Vol 116 (1) ◽  
pp. 138-148 ◽  
Author(s):  
Katra Hadji-Turdeghal ◽  
Laura Andreasen ◽  
Christian M Hagen ◽  
Gustav Ahlberg ◽  
Jonas Ghouse ◽  
...  
Keyword(s):  
Association Study ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
European Ancestry ◽  
Psychiatric Research ◽  
Carrier Status ◽  
Genome Wide ◽  
Common Genetic Variants ◽  
A Genome ◽  
Significant Locus

Abstract Aims Syncope is a common condition associated with frequent hospitalization or visits to the emergency department. Family aggregation and twin studies have shown that syncope has a heritable component. We investigated whether common genetic variants predispose to syncope and collapse. Methods and results We used genome-wide association data on syncope on 408 961 individuals with European ancestry from the UK Biobank study. In a replication study, we used the Integrative Psychiatric Research Consortium (iPSYCH) cohort (n = 86 189), to investigate the risk of incident syncope stratified by genotype carrier status. We report on a genome-wide significant locus located on chromosome 2q32.1 [odds ratio = 1.13, 95% confidence interval (CI) 1.10–1.17, P = 5.8 × 10−15], with lead single nucleotide polymorphism rs12465214 in proximity to the gene zinc finger protein 804a (ZNF804A). This association was also shown in the iPSYCH cohort, where homozygous carriers of the C allele conferred an increased hazard ratio (1.30, 95% CI 1.15–1.46, P = 1.68 × 10−5) of incident syncope. Quantitative polymerase chain reaction analysis showed ZNF804A to be expressed most abundantly in brain tissue. Conclusion We identified a genome-wide significant locus (rs12465214) associated with syncope and collapse. The association was replicated in an independent cohort. This is the first genome-wide association study to associate a locus with syncope and collapse.

DISSECTING ALCOHOL USE AND MISUSE: A GENOME-WIDE AND POLYGENIC RISK SCORING APPROACH

2019 ◽  
Vol 29 ◽  
pp. S11-S12
Author(s):  
Sandra Sanchez-Roige ◽  
Emma Johnson ◽  
Abraham Palmer ◽  
Arpana Agrawal ◽  
Toni Clarke ◽  
...  
Keyword(s):  
Alcohol Use ◽  
Polygenic Risk ◽  
Genome Wide ◽  
A Genome ◽  
Risk Scoring

scholarly journals A genome-wide association study finds genetic variants associated with neck or shoulder pain in UK Biobank

2020 ◽  
Vol 29 (8) ◽  
pp. 1396-1404 ◽  
Author(s):  
Weihua Meng ◽  
Brian W Chan ◽  
Cameron Harris ◽  
Maxim B Freidin ◽  
Harry L Hebert ◽  
...  
Keyword(s):  
Association Study ◽  
Shoulder Pain ◽  
Genetic Variants ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Uk Biobank ◽  
Genome Wide ◽  
A Genome ◽  
Significant Locus ◽  
The Uk

Abstract Background Common types of musculoskeletal conditions include pain in the neck and shoulder areas. This study seeks to identify the genetic variants associated with neck or shoulder pain based on a genome-wide association approach using 203 309 subjects from the UK Biobank cohort and look for replication evidence from the Generation Scotland: Scottish Family Health Study (GS:SFHS) and TwinsUK. Methods A genome-wide association study was performed adjusting for age, sex, BMI and nine population principal components. Significant and independent genetic variants were then sent to GS:SFHS and TwinsUK for replication. Results We identified three genetic loci that were associated with neck or shoulder pain in the UK Biobank samples. The most significant locus was in an intergenic region in chromosome 17, rs12453010, having P = 1.66 × 10−11. The second most significant locus was located in the FOXP2 gene in chromosome 7 with P = 2.38 × 10−10 for rs34291892. The third locus was located in the LINC01572 gene in chromosome 16 with P = 4.50 × 10−8 for rs62053992. In the replication stage, among four significant and independent genetic variants, rs2049604 in the FOXP2 gene and rs62053992 in the LINC01572 gene were weakly replicated in GS:SFHS (P = 0.0240 and P = 0.0202, respectively). Conclusions We have identified three loci associated with neck or shoulder pain in the UK Biobank cohort, two of which were weakly supported in a replication cohort. Further evidence is needed to confirm their roles in neck or shoulder pain.

scholarly journals A Genome-Wide Association Study and Polygenic Risk Score Analysis of Posttraumatic Stress Disorder and Metabolic Syndrome in a South African Population

2021 ◽  
Vol 15 ◽  
Author(s):  
Patricia C. Swart ◽  
Leigh L. van den Heuvel ◽  
Cathryn M. Lewis ◽  
Soraya Seedat ◽  
Sian M. J. Hemmings
Keyword(s):  
Metabolic Syndrome ◽  
South African ◽  
Genetic Variants ◽  
Genome Wide Association Study ◽  
Stress Disorder ◽  
Meta Analysis ◽  
Genome Wide Association ◽  
Polygenic Risk ◽  
Genome Wide ◽  
A Genome

Posttraumatic stress disorder (PTSD) is a trauma-related disorder that frequently co-occurs with metabolic syndrome (MetS). MetS is characterized by obesity, dyslipidemia, and insulin resistance. To provide insight into these co-morbidities, we performed a genome-wide association study (GWAS) meta-analysis to identify genetic variants associated with PTSD, and determined if PTSD polygenic risk scores (PRS) could predict PTSD and MetS in a South African mixed-ancestry sample. The GWAS meta-analysis of PTSD participants (n = 260) and controls (n = 343) revealed no SNPs of genome-wide significance. However, several independent loci, as well as five SNPs in the PARK2 gene, were suggestively associated with PTSD (p < 5 × 10–6). PTSD-PRS was associated with PTSD diagnosis (Nagelkerke’s pseudo R2 = 0.0131, p = 0.00786), PTSD symptom severity [as measured by CAPS-5 total score (R2 = 0.00856, p = 0.0367) and PCL-5 score (R2 = 0.00737, p = 0.0353)], and MetS (Nagelkerke’s pseudo R2 = 0.00969, p = 0.0217). These findings suggest an association between PTSD and PARK2, corresponding with results from the largest PTSD-GWAS conducted to date. PRS analysis suggests that genetic variants associated with PTSD are also involved in the development of MetS. Overall, the results contribute to a broader goal of increasing diversity in psychiatric genetics.

scholarly journals Identification of genetic factors influencing metabolic dysregulation and retinal support for MacTel, a retinal disorder

2020 ◽  
Author(s):  
Roberto Bonelli ◽  
Victoria E Jackson ◽  
Aravind Prasad ◽  
Jacob E Munro ◽  
Samaneh Farashi ◽  
...  
Keyword(s):  
Genome Wide Association Study ◽  
Retinal Disease ◽  
Causative Role ◽  
Macular Telangiectasia ◽  
Metabolic Dysregulation ◽  
Genome Wide ◽  
A Genome ◽  
Risk Scoring ◽  
Macular Telangiectasia Type 2

Macular Telangiectasia Type 2 (MacTel) is a rare degenerative retinal disease with complex genetic architecture. We performed a genome-wide association study on 1,067 MacTel patients and 3,799 controls, which identified eight novel genome-wide significant loci (p<5E-8), and confirmed all three previously reported loci. Using MAGMA, eQTL and transcriptome-wide association analysis, we prioritised 48 genes implicated in serine-glycine biosynthesis, metabolite transport, and retinal vasculature and thickness. Mendelian randomization indicated a likely causative role of serine (FDR=3.9E-47) and glycine depletion (FDR=0.006) as well as alanine abundance (FDR=0.009). Polygenic risk scoring achieved an accuracy of 0.74 and was associated in UKBiobank with retinal damage (p=0.009). This represents the largest genetic study on MacTel to date, and further highlights genetically-induced systemic and tissue-specific metabolic dysregulation in MacTel patients, which impinges on retinal health.

scholarly journals Maternal Psychological Problems During Pregnancy and Child Externalizing Problems: Moderated Mediation Model with Child Self-regulated Compliance and Polygenic Risk Scores for Aggression

2021 ◽  
Author(s):  
Mannan Luo ◽  
Irene Pappa ◽  
Charlotte A. M. Cecil ◽  
Philip Jansen ◽  
Marinus H. van IJzendoorn ◽  
...  
Keyword(s):  
Externalizing Problems ◽  
Genome Wide Association Study ◽  
Self Regulation ◽  
Psychological Problems ◽  
Risk Scores ◽  
Mediation Model ◽  
Polygenic Risk ◽  
Moderated Mediation Model ◽  
Genome Wide ◽  
A Genome

AbstractA potential pathway underlying the association between prenatal exposure to maternal psychological problems and childhood externalizing problems is child self-regulation. This prospective study (N = 687) examined whether self-regulated compliance mediates the relation between maternal affective problems and hostility during pregnancy and childhood externalizing problems, and explored moderation by child polygenic risk scores for aggression and sex. Self-regulated compliance at age 3 was observed in mother–child interactions, and externalizing problems at age 6 were reported by mothers and teachers. Polygenic risk scores were calculated based on a genome-wide association study of aggressive behavior. Self-regulated compliance mediated the associations between maternal psychological problems and externalizing problems. Aggression PRS was associated with higher externalizing problems reported by mothers. No evidence was found of moderation by aggression PRS or sex. These findings support the hypothesis that maternal psychological problems during pregnancy might influence externalizing problems through early self-regulation, regardless of child genetic susceptibility or sex.

scholarly journals GWIS: Genome Wide Inferred Statistics for non-linear functions of multiple phenotypes

2015 ◽  
Author(s):  
Harold Nieuwboer ◽  
Rene Pool ◽  
Conor V Dolan ◽  
Dorret I Boomsma ◽  
Michel G Nivard
Keyword(s):  
Genetic Architecture ◽  
Genome Wide Association Study ◽  
Mendelian Randomization ◽  
Linear Functions ◽  
Standard Errors ◽  
Summary Statistics ◽  
Polygenic Risk ◽  
Multiple Phenotypes ◽  
Genome Wide ◽  
Risk Scoring

Here we present a method of genome wide inferred study (GWIS) that provides an approximation of genome wide association study (GWAS) summary statistics for a variable that is a function of phenotypes for which GWAS summary statistics, phenotypic means and covariances are available. GWIS can be performed regardless of sample overlap between the GWAS of the phenotypes on which the function depends. As GWIS provides association estimates and their standard errors for each SNP, GWIS can form the basis for polygenic risk scoring, LD score regression, Mendelian randomization studies, biological annotation and other analyses. Here, we replicate a body mass index (BMI) GWAS using GWIS based on a height GWAS and a weight GWAS. We proceed to use a GWIS to further our understanding of the genetic architecture of schizophrenia and bipolar disorder.

scholarly journals Concordance of Genetic Variation that Increases Risk for Tourette Syndrome and that Influences its Underlying Neurocircuitry

2018 ◽  
Author(s):  
Mary Mufford ◽  
Josh Cheung ◽  
Neda Jahanshad ◽  
Celia van der Merwe ◽  
Linda Ding ◽  
...  
Keyword(s):  
Tourette Syndrome ◽  
Genetic Architecture ◽  
Genome Wide Association Study ◽  
Brain Regions ◽  
Genetic Variations ◽  
Summary Statistics ◽  
Brain Volumes ◽  
Subcortical Brain ◽  
Genome Wide ◽  
A Genome

ABSTRACTBACKGROUNDThere have been considerable recent advances in understanding the genetic architecture of Tourette Syndrome (TS) as well as its underlying neurocircuitry. However, the mechanisms by which genetic variations that increase risk for TS - and its main symptom dimensions - influence relevant brain regions are poorly understood. Here we undertook a genome-wide investigation of the overlap between TS genetic risk and genetic influences on the volume of specific subcortical brain structures that have been implicated in TS.METHODSWe obtained summary statistics for the most recent TS genome-wide association study (GWAS) from the TS Psychiatric Genomics Consortium Working Group (4,644 cases and 8,695 controls) and GWAS of subcortical volumes from the ENIGMA consortium (30,717 individuals). We also undertook analyses using GWAS summary statistics of key symptom factors in TS, namely social disinhibition and symmetry behaviour. SNP Effect Concordance Analysis (SECA) was used to examine genetic pleiotropy - the same SNP affecting two traits - and concordance - the agreement in SNP effect directions across these two traits. In addition, a conditional false discovery rate (FDR) analysis was performed, conditioning the TS risk variants on each of the seven subcortical and the intracranial brain volume GWAS. Linkage Disequilibrium Score Regression (LDSR) was used as validation of SECA.RESULTSSECA revealed significant pleiotropy between TS and putaminal (p=2×10−4) and caudal (p=4×10−4) volumes, independent of direction of effect, and significant concordance between TS and lower thalamic volume (p=1×10−3). LDSR lent additional support for the association between TS and thalamic volume (p=5.85×10−2). Furthermore, SECA revealed significant evidence of concordance between the social disinhibition symptom dimension and lower thalamic volume (p=1×10−3), as well as concordance between symmetry behaviour and greater putaminal volume (p=7×10−4). Conditional FDR analysis further revealed novel variants significantly associated with TS (p<8×10−7) when conditioning on intracranial (rs2708146, q=0.046; and rs72853320, q=0.035 and hippocampal (rs1922786, q=0.001 volumes respectively.CONCLUSIONThese data indicate concordance for genetic variations involved in disorder risk and subcortical brain volumes in TS. Further work with larger samples is needed to fully delineate the genetic architecture of these disorders and their underlying neurocircuitry.

scholarly journals Identification of genetic factors influencing metabolic dysregulation and retinal support for MacTel, a retinal disorder

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Roberto Bonelli ◽  
◽  
Victoria E. Jackson ◽  
Aravind Prasad ◽  
Jacob E. Munro ◽  
...  
Keyword(s):  
Genome Wide Association Study ◽  
Retinal Disease ◽  
Causative Role ◽  
Macular Telangiectasia ◽  
Metabolic Dysregulation ◽  
Genome Wide ◽  
A Genome ◽  
Risk Scoring ◽  
Macular Telangiectasia Type 2

AbstractMacular Telangiectasia Type 2 (MacTel) is a rare degenerative retinal disease with complex genetic architecture. We performed a genome-wide association study on 1,067 MacTel patients and 3,799 controls, which identified eight novel genome-wide significant loci (p < 5 × 10−8), and confirmed all three previously reported loci. Using MAGMA, eQTL and transcriptome-wide association analysis, we prioritised 48 genes implicated in serine-glycine biosynthesis, metabolite transport, and retinal vasculature and thickness. Mendelian randomization indicated a likely causative role of serine (FDR = 3.9 × 10−47) and glycine depletion (FDR = 0.006) as well as alanine abundance (FDR = 0.009). Polygenic risk scoring achieved an accuracy of 0.74 and was associated in UKBiobank with retinal damage (p = 0.009). This represents the largest genetic study on MacTel to date and further highlights genetically-induced systemic and tissue-specific metabolic dysregulation in MacTel patients, which impinges on retinal health.

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