308-OR: Genome-Wide Association Study of Food Frequency Questionnaire Single Nutrients and Dietary Patterns Uncover Hundreds of Genetic Associations

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 308-OR
Author(s):  
JOANNE B. COLE ◽  
AARON LEONG ◽  
JOEL HIRSCHHORN ◽  
JOSE C. FLOREZ
Keyword(s):  
Association Study ◽  
Food Frequency Questionnaire ◽  
Dietary Patterns ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Genetic Associations ◽  
Food Frequency ◽  
Genome Wide

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

A family-based genome-wide association study reveals an association of spondyloarthritis with MAPK14

2016 ◽  
Vol 76 (1) ◽  
pp. 310-314 ◽  
Author(s):  
Félicie Costantino ◽  
Alice Talpin ◽  
Roula Said-Nahal ◽  
Ariane Leboime ◽  
Elena Zinovieva ◽  
...  
Keyword(s):  
Association Study ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
P Value ◽  
Nucleotide Polymorphisms ◽  
Genetic Associations ◽  
Gwas Study ◽  
Genome Wide ◽  
Multiplex Families ◽  
Family Based

ObjectiveMore than 40 loci have been associated with ankylosing spondylitis (AS), but less is known about genetic associations in spondyloarthritis (SpA) as a whole. We conducted a family-based genome-wide association study (GWAS) to identify new non-major histocompatibility complex (MHC) genetic factors associated with SpA.Methods906 subjects from 156 French multiplex families, including 438 with SpA, were genotyped using Affymetrix 250K microarrays. Association was tested with Unphased. The best-associated non-MHC single nucleotide polymorphisms (SNPs) were then genotyped in two independent familial cohorts (including 215 French and 294 North American patients with SpA, respectively) to replicate associations.Results43 non-MHC SNPs yielded an association signal with SpA in the discovery cohort (p<1×10−4). In the extension studies, association was replicated at a nominal p value of p<0.05 for 16 SNPs in the second cohort and for three SNPs in the third cohort. Combined analysis identified an association close to genome-wide significance between rs7761118, an intronic SNP of MAPK14, and SpA (p=3.5×10−7). Such association appeared to be independent of HLA-B27.ConclusionsWe report here for the first time a family-based GWAS study on SpA and identified an associated polymorphism near MAPK14. Further analyses are needed to better understand the functional basis of this genetic association.

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 Multinational Arab Genome‐Wide Association Study Identifies New Genetic Associations for Rheumatoid Arthritis

2017 ◽  
Vol 69 (5) ◽  
pp. 976-985 ◽  
Author(s):  
Richa Saxena ◽  
Robert M. Plenge ◽  
Andrew C. Bjonnes ◽  
Hassan S. Dashti ◽  
Yukinori Okada ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Association Study ◽  
Genome Wide Association Study ◽  
Genome Wide Association ◽  
Genetic Associations ◽  
Genome Wide

scholarly journals Interaction between GALNT12 and C1GALT1 Associates with Galactose-Deficient IgA1 and IgA Nephropathy

2021 ◽  
Vol 32 (3) ◽  
pp. 545-552
Author(s):  
Yan-Na Wang ◽  
Xu-Jie Zhou ◽  
Pei Chen ◽  
Gui-Zhen Yu ◽  
Xue Zhang ◽  
...  
Keyword(s):  
Association Study ◽  
Iga Nephropathy ◽  
Genome Wide Association Study ◽  
Disease Risk ◽  
Serum Levels ◽  
Genetic Interactions ◽  
Genome Wide Association ◽  
Healthy Controls ◽  
Genetic Associations ◽  
Genome Wide

BackgroundGalactose-deficient IgA1 plays a key role in the pathogenesis of IgA nephropathy, the most common primary GN worldwide. Although serum levels of galactose-deficient IgA1 have a strong genetic component, the genetic link between this molecule and IgA nephropathy has not yet been clearly established.MethodsTo identify novel loci associated with galactose-deficient IgA1, we performed a quantitative genome-wide association study for serum galactose-deficient IgA1 levels, on the basis of two different genome-wide association study panels conducted in 1127 patients with IgA nephropathy. To test genetic associations with susceptibility to IgA nephropathy, we also enrolled 2352 patients with biopsy-diagnosed IgA nephropathy and 2632 healthy controls. Peripheral blood samples from 59 patients and 27 healthy controls were also collected for gene expression analysis.ResultsWe discovered two loci, in C1GALT1 and GALNT12, that achieved genome-wide significance, explaining about 3.7% and 3.4% of variance in serum galactose-deficient IgA1 levels, respectively. We confirmed the previously reported association of C1GALT1 with serum galactose-deficient IgA1 levels, but with a different lead single-nucleotide polymorphism (rs10238682; β=0.26, P=1.20×10−9); the locus we identified at GALNT12 (rs7856182; β=0.73, P=2.38×10−9) was novel. Of more interest, we found that GALNT12 exhibits genetic interactions with C1GALT1 in both galactose-deficient IgA1 levels (P=1.40×10−2) and disease risk (P=6.55×10−3). GALNT12 mRNA expression in patients with IgA nephropathy was significantly lower compared with healthy controls.ConclusionsOur data identify GALNT12 as a novel gene associated with galactose-deficient IgA1 and suggest novel genetic interactions. These findings support a key role of genetically conferred dysregulation of galactose-deficient IgA1 in the development of IgA nephropathy.

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.

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