scholarly journals A Genome-Wide Association Study Finds Genetic Associations with Broadly-Defined Headache in UK Biobank (N = 223,773)

EBioMedicine ◽  
2018 ◽  
Vol 28 ◽  
pp. 180-186 ◽  
Author(s):  
Weihua Meng ◽  
Mark J. Adams ◽  
Harry L. Hebert ◽  
Ian J. Deary ◽  
Andrew M. McIntosh ◽  
...  
Keyword(s):  
Association Study ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Uk Biobank ◽  
Genetic Associations ◽  
Genome Wide ◽  
A Genome

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 association study of alcohol consumption and genetic overlap with other health-related traits in UK Biobank (N=112,117)

2017 ◽  
Author(s):  
Toni-Kim Clarke ◽  
Mark J. Adams ◽  
Gail Davies ◽  
David M. Howard ◽  
Lynsey S. Hall ◽  
...  
Keyword(s):  
Alcohol Consumption ◽  
Association Study ◽  
Genome Wide Association Study ◽  
Hdl Cholesterol ◽  
Genome Wide Association ◽  
P Value ◽  
Uk Biobank ◽  
Genome Wide ◽  
A Genome ◽  
Genetic Overlap

AbstractAlcohol consumption has been linked to over 200 diseases and is responsible for over 5% of the global disease burden. Well known genetic variants in alcohol metabolizing genes, e.g. ALDH2, ADH1B, are strongly associated with alcohol consumption but have limited impact in European populations where they are found at low frequency. We performed a genome-wide association study (GWAS) of self-reported alcohol consumption in 112,117 individuals in the UK Biobank (UKB) sample of white British individuals. We report significant genome-wide associations at 8 independent loci. These include SNPs in alcohol metabolizing genes (ADH1B/ADH1C/ADH5) and 2 loci in KLB, a gene recently associated with alcohol consumption. We also identify SNPs at novel loci including GCKR, PXDN, CADM2 and TNFRSF11A. Gene-based analyses found significant associations with genes implicated in the neurobiology of substance use (CRHR1, DRD2), and genes previously associated with alcohol consumption (AUTS2). GCTA-GREML analyses found a significant SNP-based heritability of self-reported alcohol consumption of 13% (S.E.=0.01). Sex-specific analyses found largely overlapping GWAS loci and the genetic correlation between male and female alcohol consumption was 0.73 (S.E.=0.09, p-value = 1.37 x 10−16). Using LD score regression, genetic overlap was found between alcohol consumption and schizophrenia (rG=0.13, S.E=0.04), HDL cholesterol (rG=0.21, S.E=0.05), smoking (rG=0.49, S.E=0.06) and various anthropometric traits (e.g. Overweight, rG=-0.19, S.E.=0.05). This study replicates the association between alcohol consumption and alcohol metabolizing genes and KLB, and identifies 4 novel gene associations that should be the focus of future studies investigating the neurobiology of alcohol consumption.

Genetic associations with taxane-induced neuropathy by a genome-wide association study (GWAS) in E5103.

2011 ◽  
Vol 29 (15_suppl) ◽  
pp. 1000-1000 ◽  
Author(s):  
B. P. Schneider ◽  
L. Li ◽  
K. Miller ◽  
D. Flockhart ◽  
M. Radovich ◽  
...  
Keyword(s):  
Association Study ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Genetic Associations ◽  
Genome Wide ◽  
A Genome

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 Genetics of fasting and postprandial metabolite levels are overlapping

2018 ◽  
Vol 50 (4) ◽  
pp. 235-236
Author(s):  
Ruifang Li-Gao ◽  
Renée de Mutsert ◽  
Frits R. Rosendaal ◽  
Ko Willems van Dijk ◽  
Dennis O. Mook-Kanamori
Keyword(s):  
Association Study ◽  
Human Body ◽  
Genetic Basis ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Genetic Associations ◽  
Mixed Meal ◽  
Genome Wide ◽  
A Genome ◽  
Metabolite Concentrations

In 2015, a genome-wide association study described 59 independent signals that showed strong associations with 85 fasting metabolite concentrations as measured by the Biocrates AbsoluteIDQ p150 kit. However, the human body resides in a nonfasting state for the greater part of the day, and the genetic basis of postprandial metabolite concentrations remains largely unknown. We systematically examined these previously identified genetic associations in postprandial metabolite concentrations after a mixed meal. Of these 85 metabolites, 23 were identified with significant changes after the meal, for which 38 gene-metabolite associations were analyzed. Of these 38 associations, 31 gene-metabolite associations were replicated with postprandial metabolite concentrations. These data indicate that the genetics of fasting and postprandial metabolite levels are significantly overlapping.

scholarly journals A Genome-Wide Association Study of the Frailty Index Highlights Synaptic Pathways in Aging

2019 ◽  
Author(s):  
Janice L Atkins ◽  
Juulia Jylhävä ◽  
Nancy L Pedersen ◽  
Patrik K Magnusson ◽  
Yi Lu ◽  
...  
Keyword(s):  
Association Study ◽  
Risk Score ◽  
Genetic Risk ◽  
Genome Wide Association Study ◽  
Genetic Risk Score ◽  
Frailty Index ◽  
Genome Wide Association ◽  
Uk Biobank ◽  
Genome Wide ◽  
A Genome

ABSTRACTFrailty is a common geriatric syndrome, strongly associated with disability, mortality and hospitalisation. The mechanisms underlying frailty are multifactorial and not well understood, but a genetic basis has been suggested with heritability estimates between 19 and 45%. Understanding the genetic determinants and biological mechanisms underpinning frailty may help to delay or even prevent frailty. We performed a genome-wide association study (GWAS) of a frailty index (FI) in European descent participants from UK Biobank (n=164,610, aged 60-70 years). FI calculation was based on 49 self-reported items on symptoms, disabilities and diagnosed diseases. We identified 26 independent genetic signals at 24 loci associated with the FI (p<5*10−8). Many of these loci have previously been associated with traits such as body mass index, cardiovascular disease, smoking, HLA proteins, depression and neuroticism; however, three appear to be novel. The estimated single nucleotide polymorphism (SNP) heritability of the FI was 14% (0.14, SE 0.006). A genetic risk score for the FI, derived solely from the UK Biobank data, was significantly associated with FI in the Swedish TwinGene study (n=10,616, beta: 0.11, 95% CI: 0.02-0.20, p=0.015). In pathway analysis, genes associated with synapse function were significantly enriched (p<3*10−6). We also used Mendelian randomization to identify modifiable traits and exposures that may affect the risk of frailty, with a higher educational attainment genetic risk score being associated with a lower risk of frailty. Risk of frailty is influenced by many genetic factors, including well-known disease risk factors and mental health, with particular emphasis on synapse maintenance pathways.

scholarly journals Genome-Wide Association Study Reveals Genomic Region Associated with Mite-Recruitment Phenotypes in the Domesticated Grapevine (Vitis vinifera)

Genes ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 1013
Author(s):  
Erika R. LaPlante ◽  
Margaret B. Fleming ◽  
Zoë Migicovsky ◽  
Marjorie Gail Weber
Keyword(s):  
Association Study ◽  
Genome Wide Association Study ◽  
Plant Traits ◽  
Leaf Shape ◽  
Common Garden ◽  
Genome Wide Association ◽  
Genetic Associations ◽  
Predacious Mites ◽  
Genome Wide ◽  
A Genome

Indirect defenses are plant phenotypes that reduce damage by attracting natural enemies of plant pests and pathogens to leaves. Despite their economic and ecological importance, few studies have investigated the genetic underpinnings of indirect defense phenotypes. Here, we present a genome-wide association study of five phenotypes previously determined to increase populations of beneficial (fungivorous and predacious) mites on grape leaves (genus Vitis): leaf bristles, leaf hairs, and the size, density, and depth of leaf domatia. Using a common garden genetic panel of 399 V. vinifera cultivars, we tested for genetic associations of these phenotypes using previously obtained genotyping data from the Vitis9kSNP array. We found one single nucleotide polymorphism (SNP) significantly associated with domatia density. This SNP (Chr5:1160194) is near two genes of interest: Importin Alpha Isoform 1 (VIT_205s0077g01440), involved in downy mildew resistance, and GATA Transcription Factor 8 (VIT_205s0077g01450), involved in leaf shape development. Our findings are among the first to examine the genomic regions associated with ecologically important plant traits that facilitate interactions with beneficial mites, and suggest promising candidate genes for breeding and genetic editing to increase naturally occurring predator-based defenses in grapevines.

scholarly journals Genome-wide association study of depression phenotypes in UK Biobank (n = 322,580) identifies the enrichment of variants in excitatory synaptic pathways

2017 ◽  
Author(s):  
David M. Howard ◽  
Mark J. Adams ◽  
Masoud Shirali ◽  
Toni-Kim Clarke ◽  
Riccardo E. Marioni ◽  
...  
Keyword(s):  
Association Study ◽  
Genome Wide Association Study ◽  
International Classification Of Diseases ◽  
Population Based ◽  
Independent Study ◽  
Genome Wide Association ◽  
Uk Biobank ◽  
Risk Variants ◽  
Genome Wide ◽  
A Genome

AbstractDepression is a polygenic trait that causes extensive periods of disability and increases the risk of suicide, a leading cause of death in young people. Previous genetic studies have identified a number of common risk variants which have increased in number in line with increasing sample sizes. We conducted a genome-wide association study (GWAS) in the largest single population-based cohort to date, UK Biobank. This allowed us to estimate the effects of ≈ 8 million genetic variants in 320,000 people for three depression phenotypes: broad depression, probable major depressive disorder (MDD), and International Classification of Diseases (ICD, version 9 or 10)-coded MDD. Each phenotype was found to be significantly genetically correlated with the results from a previous independent study of clinically defined MDD. We identified 14 independent loci that were significantly associated (P < 5 × 10−8) with broad depression, two independent variants for probable MDD, and one independent variant for ICD-coded MDD. Gene-based analysis of our GWAS results with MAGMA revealed 46 regions significantly associated (P < 2.77 × 10−6) with broad depression, two significant regions for probable MDD and one significant region for ICD-coded MDD. Gene region-based analysis of our GWAS results with MAGMA revealed 59 regions significantly associated (P < 6.02 × 10−6) with broad depression, of which 27 were also detected by gene-based analysis. Variants for broad depression were enriched in pathways for excitatory neurotransmission, mechanosensory behavior, postsynapse, neuron spine and dendrite. This study provides a number of novel genetic risk variants that can be leveraged to elucidate the mechanisms of MDD and low mood.

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