scholarly journals A genome-wide association study for celiac disease identifies risk variants in the region harboring IL2 and IL21

2007 ◽  
Vol 39 (7) ◽  
pp. 827-829 ◽  
Author(s):  
David A van Heel ◽  
Lude Franke ◽  
Karen A Hunt ◽  
Rhian Gwilliam ◽  
Alexandra Zhernakova ◽  
...  
2012 ◽  
Vol 10 (8) ◽  
pp. 1521-1531 ◽  
Author(s):  
J. A. HEIT ◽  
S. M. ARMASU ◽  
Y. W. ASMANN ◽  
J. M. CUNNINGHAM ◽  
M. E. MATSUMOTO ◽  
...  

2010 ◽  
Vol 42 (8) ◽  
pp. 727-727 ◽  
Author(s):  
Terri H Beaty ◽  
Jeffrey C Murray ◽  
Mary L Marazita ◽  
Ronald G Munger ◽  
Ingo Ruczinski Jacqueline B Hetmanski ◽  
...  

2018 ◽  
Author(s):  
Jonas B. Nielsen ◽  
Rosa B. Thorolfsdottir ◽  
Lars G. Fritsche ◽  
Wei Zhou ◽  
Morten W. Skov ◽  
...  

SummaryTo understand the genetic variation underlying atrial fibrillation (AF), the most common cardiac arrhythmia, we performed a genome-wide association study (GWAS) of > 1 million people, including 60,620 AF cases and 970,216 controls. We identified 163 independent risk variants at 111 loci and prioritized 165 candidate genes likely to be involved in AF. Many of the identified risk variants fall near genes where more deleterious mutations have been reported to cause serious heart defects in humans or mice (MYH6, NKX2-5, PITX2, TBC1D32, TBX5),1,2 or near genes important for striated muscle function and integrity (e.g. MYH7, PKP2, SSPN, SGCA). Experiments in rabbits with heart failure and left atrial dilation identified a heterogeneous distributed molecular switch from MYH6 to MYH7 in the left atrium, which resulted in contractile and functional heterogeneity and may predispose to initiation and maintenance of atrial arrhythmia.


2017 ◽  
Author(s):  
David M. Howard ◽  
Mark J. Adams ◽  
Masoud Shirali ◽  
Toni-Kim Clarke ◽  
Riccardo E. Marioni ◽  
...  

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.


2010 ◽  
Vol 42 (6) ◽  
pp. 525-529 ◽  
Author(s):  
Terri H Beaty ◽  
Jeffrey C Murray ◽  
Mary L Marazita ◽  
Ronald G Munger ◽  
Ingo Ruczinski ◽  
...  

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