scholarly journals Rare Genetic Variants Correlate with Better Processing Speed

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.

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 163-164
Author(s):  
Anastasia Gurinovich ◽  
Kaare Christensen ◽  
Marianne Nygaard ◽  
Jonas Mengel-From ◽  
Stacy Andersen ◽  
...  

Abstract Some cognitive abilities, such as vocabulary, are resilient to brain aging, while others such as conceptual reasoning, memory, and processing speed, decline with age and their rate of decline is genetically regulated. Despite the strong genetic heritability of processing speed assessed by the digit symbol substitution test (DSST), previous studies have failed to identify robust common genetic variants associated with this test. The Long Life Family Study (LLFS) includes long lived individuals and their family members who maintain good DSST scores as they age and who may carry variants associated with better DSST. We therefore conducted a genome-wide association study (GWAS) of DSST in LLFS using ~15M genetic variants imputed to the HRC panel of 64,940 haplotypes with 39,635,008 sites and replicated the findings using genetic data imputed to the 1000 Genomes phase 3 reference panel combining two Danish cohorts: the Middle Aged Danish Twins and the Longitudinal Study of Aging Danish Twins. The GWAS in LLFS discovered 20 rare genetic variants reaching genome-wide significance (p-value &lt; 5x10-8), including 18 variants associated with better processing speed with large effect size. The genetic associations of rs7623455, rs9821776, rs9821587, rs78704059 in chromosome 3 were replicated in the combined Danish cohort. These genetic variants tagged two hormone receptor related genes, THRB and RARB, both related to cognitive aging. Further gene-based tests in LLFS confirmed that these two genes have protective variants associated with better processing speed.


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 4059-4059
Author(s):  
Erin Peckham ◽  
Philip J Lupo ◽  
Michael E Scheurer ◽  
Rikhia Chakraborty ◽  
John Belmont ◽  
...  

Abstract Introduction: Langerhans cell histiocytosis (LCH) is a disease characterized by inflammatory lesions including pathologic CD207+ dendritic cells. Clinically, LCH is highly variable ranging from single lesions to highly aggressive, disseminated disease involving multiple organs and requiring intensive chemotherapy. Recent data support a model of pathogenesis in which activating somatic mutations in MAPK pathway genes arise in myeloid DC precursors. However, little is known about genetic susceptibility to this condition. Therefore, we conducted a genome-wide association study to characterize the role of inherited genetic variants on disease risk. Methods: We utilized a case-parent trio approach, which is immune to the effects of population stratification bias. Specifically, this allows for the inclusion of individuals regardless of genetic ancestry. LCH case-parent trios (n=134) were recruited from Texas Children's Cancer Center. Genotyping was performed using the Illumina Omni-5 Quad BeadChip. Genetic ancestry was determined using the bioinformatics algorithm STRUCTURE. To inform this algorithm, a set of 12,898 autosomal ancestry informative markers specifically identified to infer population substructure was extracted from the study trios. Estimated genomic ancestral proportions were then used to classify each study participant as either of European ancestry, Amerindian ancestry, or of African ancestry. For the association analysis, we focused on the role of common variants (i.e., minor allele frequency ≥5%). The association analysis was conducted utilizing the PREMIM-EMIM algorithm, an established, multinomial log-likelihood approach for assessing case-parent trios GWAS data. This method allows for the inclusion of "incomplete" trios (e.g., mother-case duos). We applied a genome-wide statistical significance cutoff of p<1.0x10-5. Results: In this GWAS, LCH cases were predominantly male (54%), and based on the genetic ancestry analysis, 60% were of European ancestry, 36% Amerindian ancestry, and 4% African ancestry. Among the 343 individuals included in the analysis, 1,672,105 SNPs autosomal SNPs were assessed and an overview of the results is displayed using a Manhattan plot. We identified five potential inherited genomic regions associated with LCH susceptibility. The strongest associations between inherited SNPs and childhood LCH were seen in SMAD6 on chromosome 15 (p-value = 2.38x10-7) and in ECE1 on chromosome 1 (p-value = 2.15x10-6). Conclusions: In this genome-wide assessment of the role of inherited genetic variation on the risk of LCH, we identified SNPs with significant effects in genes implicated in diverse pathways including embryogenesis and cellular division. Among the proteins encoded by the regions identified, SMAD6and ECE1 have both been reported to impact ERK activation, a critical feature of LCH pathogenesis. These findings support potential for inherited genetic variants to influence risk of developing LCH. Disclosures Allen: NovImmune: Consultancy, Other: unpaid; Roche: Consultancy, Other: unpaid.


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.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Morteza Bitaraf Sani ◽  
Javad Zare Harofte ◽  
Mohammad Hossein Banabazi ◽  
Saeid Esmaeilkhanian ◽  
Ali Shafei Naderi ◽  
...  

AbstractFor thousands of years, camels have produced meat, milk, and fiber in harsh desert conditions. For a sustainable development to provide protein resources from desert areas, it is necessary to pay attention to genetic improvement in camel breeding. By using genotyping-by-sequencing (GBS) method we produced over 14,500 genome wide markers to conduct a genome- wide association study (GWAS) for investigating the birth weight, daily gain, and body weight of 96 dromedaries in the Iranian central desert. A total of 99 SNPs were associated with birth weight, daily gain, and body weight (p-value < 0.002). Genomic breeding values (GEBVs) were estimated with the BGLR package using (i) all 14,522 SNPs and (ii) the 99 SNPs by GWAS. Twenty-eight SNPs were associated with birth weight, daily gain, and body weight (p-value < 0.001). Annotation of the genomic region (s) within ± 100 kb of the associated SNPs facilitated prediction of 36 candidate genes. The accuracy of GEBVs was more than 0.65 based on all 14,522 SNPs, but the regression coefficients for birth weight, daily gain, and body weight were 0.39, 0.20, and 0.23, respectively. Because of low sample size, the GEBVs were predicted using the associated SNPs from GWAS. The accuracy of GEBVs based on the 99 associated SNPs was 0.62, 0.82, and 0.57 for birth weight, daily gain, and body weight. This report is the first GWAS using GBS on dromedary camels and identifies markers associated with growth traits that could help to plan breeding program to genetic improvement. Further researches using larger sample size and collaboration of the camel farmers and more profound understanding will permit verification of the associated SNPs identified in this project. The preliminary results of study show that genomic selection could be the appropriate way to genetic improvement of body weight in dromedary camels, which is challenging due to a long generation interval, seasonal reproduction, and lack of records and pedigrees.


2021 ◽  
Vol 11 (1) ◽  
pp. 59
Author(s):  
Kirsten Voorhies ◽  
Joanne E. Sordillo ◽  
Michael McGeachie ◽  
Elizabeth Ampleford ◽  
Alberta L. Wang ◽  
...  

An unaddressed and important issue is the role age plays in modulating response to short acting β2-agonists in individuals with asthma. The objective of this study was to identify whether age modifies genetic associations of single nucleotide polymorphisms (SNPs) with bronchodilator response (BDR) to β2-agonists. Using three cohorts with a total of 892 subjects, we ran a genome wide interaction study (GWIS) for each cohort to examine SNP by age interactions with BDR. A fixed effect meta-analysis was used to combine the results. In order to determine if previously identified BDR SNPs had an age interaction, we also examined 16 polymorphisms in candidate genes from two published genome wide association studies (GWAS) of BDR. There were no significant SNP by age interactions on BDR using the genome wide significance level of 5 × 10−8. Using a suggestive significance level of 5 × 10−6, three interactions, including one for a SNP within PRAG1 (rs4840337), were significant and replicated at the significance level of 0.05. Considering candidate genes from two previous GWAS of BDR, three SNPs (rs10476900 (near ADRB2) [p-value = 0.009], rs10827492 (CREM) [p-value = 0.02], and rs72646209 (NCOA3) [p-value = 0.02]) had a marginally significant interaction with age on BDR (p < 0.05). Our results suggest age may be an important modifier of genetic associations for BDR in asthma.


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

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