Consangunity and psychosis in Algeria. A family study

2015 ◽  
Vol 30 (S2) ◽  
pp. S85-S85
Author(s):  
A. Dahdouh Guermouche ◽  
J. Prados ◽  
M. Guipponi ◽  
F. Bena ◽  
L. Stenz ◽  
...  

Several studies have affirmed the existence of a strong and complex genetic component in the determination of psychotic disorders. However, the genetic architecture of these disorders remains poorly understood. GWAS studies conducted over the past decade have identified some associations to low effect, and the major part of this heritability remains unexplained, thus calling into question the hypothesis of “common disease – common variant” for model involving a large number of rare variants. Family studies of extended pedigrees selected from geographical isolate can be a powerful approach in identifying rare genetic variants of complex diseases such as psychotic disorders. Here, we studied four multigenerational families in which co-exist psychotic and mood disorders and a high rate of consanguinity, identified in the northwest of Algeria. This case-control study aimed to characterize new rare genetic variants responsible for psychosis. These families have received complete clinical and genealogical investigations, genome wide analysis that were performed in the laboratory of medical genetics in the university hospital of Geneva. A genome wide research CNVs using Agilent Human Genome CGH Microarray Kit 44 K, covering 45 subjects including 20 patients and in a control population of 55 individuals. Three CNVs that had never been reported to date have been identified in one of four families and validated by two techniques. It is the dup 4q26, and 16q23.1 del del21q21. These CNVs are transmitted by either parent line, suggesting a cumulative effect on the risk of psychotic disorders. Further analyzes using pan-genomic linkage analysis using GWAS chip (Illumina Human 660 W-Quad v1.0 Breadchip) and complete WES (by GAIIx Illumina/HiSeq 2000) were performed in some related individuals to search other mutations may explain the appearance of the phenotype in this population.

2017 ◽  
Vol 41 (S1) ◽  
pp. S595-S596
Author(s):  
A. Dahdouh ◽  
J. Prados ◽  
M. Guipponi ◽  
F. Bena ◽  
W. Adouan ◽  
...  

IntroductionSeveral studies have asserted the existence of a strong and complex genetic component in the determination of psychotic disorders. GWAS studies conducted over the past decade lead to the identification of only a few low effect associations, calling questioning the hypothesis of “common disease – common variants” for a model involving a large number of rare variants.AimsHere, we studied a multigenerational multiplex family with schizophrenia a high rate of consanguinity, located in the northwest of Algeria. This study aims to identify inherited rare variants of schizophrenia using new genetic technologies.MethodsThis family has received complete clinical (DIGS, DSM-IV criteria), genealogical investigations, CNV analysis using CGH Microarray Kit 244 K (Santa Clara, CA) and WES (by GAIIx Illumina/HiSeq 2000) focused in CNV regions, that were performed in the department of genetics in the university hospital of Geneva.ResultsWe identify 11 affected members by psychotic disorders. The main CNVs analysis results found in a schizophrenic member a Del 22q13.33 affecting SHANK3 gene. WES regarding these regions identified a mutation at position 511178000 in SHANK3 gene in all the selected affected relatives.DiscussionSeveral studies have asserted the association of SHANK3 mutations with schizophrenia and autism disorders. This is the first observation of rs511,178,000 in schizophrenia phenotype.ConclusionIn total, this highly informative family have identified new rare genetic variant of schizophrenia. The search for this mutation in wider control population in would be useful to validate these data.Disclosure of interestThe authors have not supplied their declaration of competing interest.


2022 ◽  
Author(s):  
Zeyuan Song ◽  
Anastasia Gurinovich ◽  
Marianne Nygaard ◽  
Jonas Mengel-From ◽  
Stacy Andersen ◽  
...  

We conducted a genome-wide association study (GWAS) of Digit Symbol Substitution Test (DSST) scores administered in 4207 family members of the Long Life Family Study (LLFS). Genotype data were imputed to the HRC panel of 64,940 haplotypes resulting in ~15M genetic variants with quality score > 0.7. The results were replicated using genetic data imputed to the 1000 Genomes phase 3 reference panel from two Danish twin cohorts: the study of Middle Aged Danish Twins and the Longitudinal Study of Aging Danish Twins. The GWAS in LLFS discovered 20 rare genetic variants (minor allele frequency (MAF) < 1.0%) that reached genome-wide significance (p-value < 5x10-8). Among these, 18 variants had large protective effects on the processing speed, including rs7623455, rs9821776, rs9821587, rs78704059 on chromosome 3, which were replicated in the combined Danish twin cohort. These SNPs are located in/near two genes, THRB and RARB, that belonged to thyroid hormone receptors family that may influence speed of metabolism and cognitive aging. The gene-level tests in LLFS confirmed that these two genes are associated with processing speed.


2019 ◽  
Vol 22 (1) ◽  
pp. 102-111 ◽  
Author(s):  
Joseph Park ◽  
◽  
Michael G. Levin ◽  
Christopher M. Haggerty ◽  
Dustin N. Hartzel ◽  
...  

2015 ◽  
Vol 240 (2) ◽  
pp. 462-467 ◽  
Author(s):  
Chuanhui Dong ◽  
David Della-Morte ◽  
Ashley Beecham ◽  
Liyong Wang ◽  
Digna Cabral ◽  
...  

Author(s):  
Wan-Yu Lin

Abstract Background Biological age (BA) can be estimated by phenotypes and is useful for predicting lifespan and healthspan. Levine et al. proposed a PhenoAge and a BioAge to measure BA. Although there have been studies investigating the genetic predisposition to BA acceleration in Europeans, little has been known regarding this topic in Asians. Methods I here estimated PhenoAgeAccel (age-adjusted PhenoAge) and BioAgeAccel (age-adjusted BioAge) of 94,443 Taiwan Biobank (TWB) participants, wherein 25,460 TWB1 subjects formed a discovery cohort and 68,983 TWB2 individuals constructed a replication cohort. Lifestyle factors and genetic variants associated with PhenoAgeAccel and BioAgeAccel were investigated through regression analysis and a genome-wide association study (GWAS). Results A unit (kg/m 2) increase of BMI was associated with a 0.177-year PhenoAgeAccel (95% C.I. = 0.163~0.191, p = 6.0×) and 0.171-year BioAgeAccel (95% C.I. = 0.165~0.177, p = 0). Smokers on average had a 1.134-year PhenoAgeAccel (95% C.I. = 0.966~1.303, p = 1.3×) compared with non-smokers. Drinkers on average had a 0.640-year PhenoAgeAccel (95% C.I. = 0.433~0.847, p = 1.3×) and 0.193-year BioAgeAccel (95% C.I. = 0.107~0.279, p = 1.1×) relative to non-drinkers. A total of 11 and 4 single-nucleotide polymorphisms (SNPs) were associated with PhenoAgeAccel and BioAgeAccel (p&lt;5× in both TWB1 and TWB2), respectively. Conclusions A PhenoAgeAccel-associated SNP (rs1260326 in GCKR) and two BioAgeAccel-associated SNPs (rs7412 in APOE; rs16998073 near FGF5) were consistent with the finding from the UK Biobank. The lifestyle analysis shows that prevention from obesity, cigarette smoking, and alcohol consumption is associated with a slower rate of biological aging.


2020 ◽  
Vol 105 (12) ◽  
pp. 3854-3864
Author(s):  
Jin-Fang Chai ◽  
Shih-Ling Kao ◽  
Chaolong Wang ◽  
Victor Jun-Yu Lim ◽  
Ing Wei Khor ◽  
...  

Abstract Context Glycated hemoglobin A1c (HbA1c) level is used to screen and diagnose diabetes. Genetic determinants of HbA1c can vary across populations and many of the genetic variants influencing HbA1c level were specific to populations. Objective To discover genetic variants associated with HbA1c level in nondiabetic Malay individuals. Design and Participants We conducted a genome-wide association study (GWAS) analysis for HbA1c using 2 Malay studies, the Singapore Malay Eye Study (SiMES, N = 1721 on GWAS array) and the Living Biobank study (N = 983 on GWAS array and whole-exome sequenced). We built a Malay-specific reference panel to impute ethnic-specific variants and validate the associations with HbA1c at ethnic-specific variants. Results Meta-analysis of the 1000 Genomes imputed array data identified 4 loci at genome-wide significance (P &lt; 5 × 10-8). Of the 4 loci, 3 (ADAM15, LINC02226, JUP) were novel for HbA1c associations. At the previously reported HbA1c locus ATXN7L3-G6PC3, association analysis using the exome data fine-mapped the HbA1c associations to a 27-bp deletion (rs769664228) at SLC4A1 that reduced HbA1c by 0.38 ± 0.06% (P = 3.5 × 10-10). Further imputation of this variant in SiMES confirmed the association with HbA1c at SLC4A1. We also showed that these genetic variants influence HbA1c level independent of glucose level. Conclusion We identified a deletion at SLC4A1 associated with HbA1c in Malay. The nonglycemic lowering of HbA1c at rs769664228 might cause individuals carrying this variant to be underdiagnosed for diabetes or prediabetes when HbA1c is used as the only diagnostic test for diabetes.


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