scholarly journals Family-based genome-wide association study of leprosy in Vietnam

Author(s):  
Chaima Gzara ◽  
Monica Dallmann-Sauer ◽  
Marianna Orlova ◽  
Nguyen Van Thuc ◽  
Vu Hong Thai ◽  
...  

AbstractLeprosy is a chronic infectious disease of the skin and peripheral nerves with a strong genetic predisposition. Recent genome-wide approaches have identified numerous common variants associated with leprosy, almost all in the Chinese population. We conducted the first family-based genome-wide association study of leprosy in 622 affected offspring from Vietnam, followed by replication in an independent sample of 1189 leprosy cases and 671 controls of the same ethnic origin. The most significant results were observed within the HLA region, in which six SNPs displayed genome-wide significant associations, all of which were replicated in the independent case/control sample. We investigated the signal in the HLA region in more detail, by conducting a multivariate analysis on the case/control sample of 319 GWAS-suggestive HLA hits for which evidence for replication was obtained. We identified three independently associated SNPs, two located in the HLA class I region (rs1265048: OR=0.69 [0.58-0.80], combined p-value = 5.53×10−11; and rs114598080: OR=1.47 [1.46-1.48], combined p-value = 8.77×10−13), and one located in the HLA class II region (rs3187964 (OR=1.67 [1.55-1.80], combined p-value = 8.35×10−16). We also validated two previously identified risk factors for leprosy: the missense variant rs3764147 in the LACC1 gene (OR=1.52 [1.41-1.63], combined p-value = 5.06×10−14), and the intergenic variant rs6871626 located close to the IL12B gene (OR=0.73 [0.61-0.84], combined p-value = 6.44×10−8). These results shed new light on the genetic control of leprosy, by dissecting the influence of HLA SNPs, and validating the independent role of two additional variants in a large Vietnamese sample.

2017 ◽  
Vol 19 (8) ◽  
pp. 602-609 ◽  
Author(s):  
Bettina Konte ◽  
Gregor Leicht ◽  
Ina Giegling ◽  
Oliver Pogarell ◽  
Susanne Karch ◽  
...  

2019 ◽  
Vol 15 ◽  
pp. P291-P292
Author(s):  
Donghe Li ◽  
John Farrell ◽  
Lindsay A. Farrer ◽  
Gyungah R. Jun ◽  
Sungho Won

2017 ◽  
Vol 18 (4) ◽  
pp. 535-544 ◽  
Author(s):  
Sharayu Mhatre ◽  
Zhaoming Wang ◽  
Rajini Nagrani ◽  
Rajendra Badwe ◽  
Shubhada Chiplunkar ◽  
...  

2019 ◽  
Author(s):  
Shengjun Hong ◽  
Dmitry Prokopenko ◽  
Valerija Dobricic ◽  
Fabian Kilpert ◽  
Isabelle Bos ◽  
...  

AbstractAlzheimer’s disease (AD) is the most prevalent neurodegenerative disorder and the most common form of dementia in the elderly. Susceptibility to AD is considerably determined by genetic factors which hitherto were primarily identified using case-control designs. Elucidating the genetic architecture of additional AD-related phenotypic traits, ideally those linked to the underlying disease process, holds great promise in gaining deeper insights into the genetic basis of AD and in developing better clinical prediction models. To this end, we generated genome-wide single-nucleotide polymorphism (SNP) genotyping data in 931 participants of the European Medical Information Framework Alzheimer’s Disease Multimodal Biomarker Discovery (EMIF-AD MBD) sample to search for novel genetic determinants of AD biomarker variability. Specifically, we performed genome-wide association study (GWAS) analyses on 16 traits, including 14 measures of amyloid-beta (Aβ) and tau-protein species in the cerebrospinal fluid (CSF). In addition to confirming the well-established effects of apolipoprotein E (APOE) on diagnostic outcome and phenotypes related to Aβ42, we detected novel potential signals in the zinc finger homeobox 3 (ZFHX3) for CSF-Aβ38 and CSF-Aβ40 levels, and confirmed the previously described sex-specific association between SNPs in geminin coiled-coil domain containing (GMNC) and CSF-tau. Utilizing the results from independent case-control AD GWAS to construct polygenic risk scores (PRS) revealed that AD risk variants only explain a small fraction of CSF biomarker variability. In conclusion, our study represents a detailed first account of GWAS analyses on CSF-Aβ and -tau related traits in the EMIF-AD MBD dataset. In subsequent work, we will utilize the genomics data generated here in GWAS of other AD-relevant clinical outcomes ascertained in this unique dataset.


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