scholarly journals Both variants of A1CF and BAZ1B genes are associated with gout susceptibility: a replication study and meta-analysis in a Japanese population

Human Cell ◽  
2021 ◽  
Vol 34 (2) ◽  
pp. 293-299
Author(s):  
Makoto Kawaguchi ◽  
Akiyoshi Nakayama ◽  
Yuka Aoyagi ◽  
Takahiro Nakamura ◽  
Seiko Shimizu ◽  
...  

AbstractGout is a common type of acute arthritis that results from elevated serum uric acid (SUA) levels. Recent genome-wide association studies (GWASs) have revealed several novel single nucleotide polymorphism (SNPs) associated with SUA levels. Of these, rs10821905 of A1CF and rs1178977 of BAZ1B showed the greatest and the second greatest significant effect size for increasing SUA level in the Japanese population, but their association with gout is not clear. We examined their association with gout using 1411 clinically-defined Japanese gout patients and 1285 controls, and meta-analyzed our previous gout GWAS data to investigate any association with gout. Replication studies revealed both SNPs to be significantly associated with gout (P = 0.0366, odds ratio [OR] with 95% confidence interval [CI]: 1.30 [1.02–1.68] for rs10821905 of A1CF, P = 6.49 × 10–3, OR with 95% CI: 1.29 [1.07–1.55] for rs1178977 of BAZ1B). Meta-analysis also revealed a significant association with gout in both SNPs (Pmeta = 3.16 × 10–4, OR with 95% CI: 1.39 [1.17–1.66] for rs10821905 of A1CF, Pmeta = 7.28 × 10–5, OR with 95% CI 1.32 [1.15–1.51] for rs1178977 of BAZ1B). This study shows the first known association between SNPs of A1CF, BAZ1B and clinically-defined gout cases in Japanese. Our results also suggest a shared physiological/pathophysiological background between several populations, including Japanese, for both SUA increase and gout susceptibility. Our findings will not only assist the elucidation of the pathophysiology of gout and hyperuricemia, but also suggest new molecular targets.

Stroke ◽  
2020 ◽  
Vol 51 (8) ◽  
pp. 2454-2463
Author(s):  
Keith L. Keene ◽  
Hyacinth I. Hyacinth ◽  
Joshua C. Bis ◽  
Steven J. Kittner ◽  
Braxton D. Mitchell ◽  
...  

Background and Purpose: Stroke is a complex disease with multiple genetic and environmental risk factors. Blacks endure a nearly 2-fold greater risk of stroke and are 2× to 3× more likely to die from stroke than European Americans. Methods: The COMPASS (Consortium of Minority Population Genome-Wide Association Studies of Stroke) has conducted a genome-wide association meta-analysis of stroke in >22 000 individuals of African ancestry (3734 cases, 18 317 controls) from 13 cohorts. Results: In meta-analyses, we identified one single nucleotide polymorphism (rs55931441) near the HNF1A gene that reached genome-wide significance ( P =4.62×10 −8 ) and an additional 29 variants with suggestive evidence of association ( P <1×10 −6 ), representing 24 unique loci. For validation, a look-up analysis for a 100 kb region flanking the COMPASS single nucleotide polymorphism was performed in SiGN (Stroke Genetics Network) Europeans, SiGN Hispanics, and METASTROKE (Europeans). Using a stringent Bonferroni correction P value of 2.08×10 −3 (0.05/24 unique loci), we were able to validate associations at the HNF1A locus in both SiGN ( P =8.18×10 −4 ) and METASTROKE ( P =1.72×10 −3 ) European populations. Overall, 16 of 24 loci showed evidence for validation across multiple populations. Previous studies have reported associations between variants in the HNF1A gene and lipids, C-reactive protein, and risk of coronary artery disease and stroke. Suggestive associations with variants in the SFXN4 and TMEM108 genes represent potential novel ischemic stroke loci. Conclusions: These findings represent the most thorough investigation of genetic determinants of stroke in individuals of African descent, to date.


Stroke ◽  
2020 ◽  
Vol 51 (12) ◽  
pp. 3751-3755
Author(s):  
Jiang Li ◽  
Vida Abedi ◽  
Ramin Zand ◽  
Christoph J. Griessenauer ◽  

Background and Purpose: The purpose of this study was to replicate the top loci associated with white matter hyperintensity (WMH) phenotypes identified by large genome-wide association studies and the loci identified from the previous candidate gene studies. Methods: A total of 946 Geisinger MyCode patients with acute ischemic stroke with validated European ancestry and magnetic resonance imaging data were included in this study. Log-transformed WMH volume, as a quantitative trait, was calculated by a fully automated quantification process. The genome-wide association studies was carried out by a linear mixed regression model (GEMMA). A candidate-single nucleotide polymorphism analysis by including known single nucleotide polymorphisms, reported from a meta-analysis and several large GWAS for WMH, was conducted in all cases and binary converted extreme cases. Results: No genome-wide significantly associated variants were identified. In a candidate-single nucleotide polymorphism study, rs9515201 ( COL4A2 ) and rs3744028 ( TRIM65 ), 2 known genetic loci, showed nominal or trend of association with the WMH volume (β=0.13 and P =0.001 for rs9515201; β=0.094 and P =0.094 for rs3744028), and replicated in a subset of extreme cases versus controls (odds ratio=1.78, P =7.74×10 − 4 for rs9515201; odds ratio=1.53, P =0.047 for rs3744028, respectively). MTHFR677 cytosine/thymine (rs1801133) also showed an association with the binary WMH with odds ratio=1.47 for T allele ( P =0.019). Conclusions: Replication of COL4A1/2 associated with WMH reassures that the genetic risk factors for monogenic and polygenic ischemic stroke are shared at gene level.


2008 ◽  
Vol 6 ◽  
pp. CIN.S966 ◽  
Author(s):  
Stefan Stefanov ◽  
James Lautenberger ◽  
Bert Gold

We developed an efficient pipeline to analyze genome-wide association study single nucleotide polymorphism scan results. Perl scripts were used to convert genotypes called using the BRLMM algorithm into a modified PB format. We computed summary statistics characteristic of our case and control populations including allele counts, missing values, heterozygosity, measures of compliance with Hardy-Weinberg equilibrium, and several population difference statistics. In addition, we computed association tests, including exact tests of association for genotypes, alleles, the Cochran-Armitage linear trend test, and dominant, recessive, and overdominant models at every single nucleotide polymorphism (SNP). In addition, pairwise linkage disequilbrium statistics were elaborated, using the command line version of HaploView, which was possible by writing a reformatting script. Additional Perl scripts permit loading the results into a MySQL database conjoined with a Generic Genome Browser (gbrowse) for comprehensive visualization. This browser incorporates a download feature that provides actual case and control genotypes to users in associated genomic regions. Thus, re-analysis “on the fly” is possible for casual browser users from anywhere on the Internet.


2012 ◽  
Vol 2 (11) ◽  
pp. e186-e186 ◽  
Author(s):  
T Otowa ◽  
Y Kawamura ◽  
N Nishida ◽  
N Sugaya ◽  
A Koike ◽  
...  

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