scholarly journals Alzheimer’s environmental and genetic risk scores are differentially associated with ‘g’ and δ

2018 ◽  
Author(s):  
Shea J. Andrews ◽  
G. Peggy McFall ◽  
Roger A. Dixon ◽  
Nicolas Cherbuin ◽  
Ranmalee Eramudugolla ◽  
...  

AbstractIntroductionWe investigated the association of the Australian National University Alzheimer’s Disease Risk Index (ANU-ADRI) and an AD genetic risk score (GRS) with cognitive performance.MethodsThe ANU-ADRI (composed of 11 risk factors for AD) and GRS (composed of 25 AD risk loci) were computed in 1,061 community-dwelling older adults. Participants were assessed on 11 cognitive tests and activities of daily living. Structural equation modelling was used to evaluate the association of the ANU-ADRI and GRS with: 1) general cognitive ability (g) 2) dementia related variance in cognitive performance (δ) and 3) verbal ability, episodic memory, executive function and processing speed.ResultsA worse ANU-ADRI score was associated with poorer performance in ‘g’, δ, and each cognitive domain. A worse GRS was associated with poorer performance in δ and episodic memory.DiscussionThe ANU-ADRI was broadly associated with worse cognitive performance, validating its further use in early dementia risk assessment.HighlightsAn environmental/lifestyle dementia risk index is broadly associated with cognitive performanceAn Alzheimer’s genetic risk score is associated with dementia severity and episodic memoryThe environmental risk index is more strongly associated with dementia severity than genetic riskResearch in ContextSystematic ReviewThe authors reviewed the literature using online databases (e.g. PubMed). Previous research has highlighted the need for dementia risk assessment tools to be evaluated on outcomes prior to dementia onset, such as cognitive performance. The relevant citations have been appropriately cited.InterpretationThe Australian National University Alzheimer’s Disease Risk Index (ANU-ADRI) was more broadly associated with cognitive performance than Alzheimer’s genetic risk. For the ANU-ADRI, stronger effects were observed for dementia-related variance in cognitive task performance that for variance in general cognitive function. This suggests that ANU-ADRI is more specifically associated with dementia-related processes and further validates its use in early risk assessment for dementia.Future DirectionsAccordingly, future studies should seek to evaluate the association of the ANU-ADRI and genetic risk with AD biomarkers and longitudinal cognitive performance to evaluate differential trajectories in ‘g’ and δ.

2019 ◽  
Author(s):  
Shea J Andrews ◽  
Brian Fulton-Howard ◽  
Christopher Patterson ◽  
G Peggy McFall ◽  
Alden Gross ◽  
...  

AbstractWe examined the associations between mitochondrial DNA haplogroups (MT-hg) and their interactions with a polygenic risk score based on nuclear-encoded mitochondrial genes (nMT-PRS) with risk of dementia and age of onset of dementia (AOO). Logistic regression was used to determine the effect of MT-hgs and nMT-PRS on dementia at baseline (332 controls / 204 cases). Cox proportional hazards models were used to model dementia AOO (n=1047; 433 incident cases). Additionally, we tested for interactions between MT-hg and nMT-PRS in the logistic and Cox models. MT-hg K and a one SD larger nMT-PRS were associated with elevated odds of dementia. Significant antagonistic interactions between the nMT-PRS and MT-hg K and T were observed. Individual MT-hg were not associated with AOO; however, a significant antagonistic interactions was observed between the nMT-PRS and MT-hg T and a synergistic interaction between the nMT-PRS and MT-hg V. These results suggest that MT-hgs influence dementia risk, and that variants in the nuclear and mitochondrial genome interact to influence the age of onset of dementia.HighlightsMitochondrial dysfunction has been proposed to influence dementia riskMT-hg K and T interacted with a genetic risk score to reduce dementia riskMT-hg T and V interacted with a genetic risk score to influence dementia age of onset


2013 ◽  
Vol 7 ◽  
pp. BBI.S11601 ◽  
Author(s):  
Pingzhao Hu ◽  
Aleixo M. Muise ◽  
Xiang Xing ◽  
John H. Brumell ◽  
Mark S. Silverberg ◽  
...  

To date, the utility of single genetic markers to improve disease risk assessment still explains only a small proportion of genetic variance for many complex diseases. This missing heritability may be explained by additional variants with weak effects. To discover and incorporate these additional genetic factors, statistical and computational methods must be evaluated and developed. We develop a multi-locus genetic risk score (GRS) based approach to analyze genes in NADPH oxidase complex which may result in susceptibility to development of inflammatory bowel disease (IBD). We find the complex is highly associated with IBD ( P = 7.86 × 10–14) using the GRS-based association method. Similar results are also shown in permutation analysis ( P = 6.65 × 10–11). Likelihood ratio test shows that the single nucleotide polymorphisms (SNPs) in the complex without nominal signals have significant contribution to the overall genetic effect within the complex ( P = 0.015). Our results show that the multi-locus GRS association model can improve the genetic risk assessment on IBD by taking into account both confirmed and as yet unconfirmed disease susceptibility variants.


2021 ◽  
Author(s):  
Melis Anatürk ◽  
Raihaan Patel ◽  
Georgios Georgiopoulos ◽  
Danielle Newby ◽  
Anya Topiwala ◽  
...  

INTRODUCTION: Current prognostic models of dementia have had limited success in consistently identifying at-risk individuals. We aimed to develop and validate a novel dementia risk score (DRS) using the UK Biobank cohort.METHODS: After randomly dividing the sample into a training (n=166,487, 80%) and test set (n=41,621, 20%), logistic LASSO regression and standard logistic regression were used to develop the UKB-DRS.RESULTS: The score consisted of age, sex, education, apolipoprotein E4 genotype, a history of diabetes, stroke, and depression, and a family history of dementia. The UKB-DRS had good-to-strong discrimination accuracy in the UKB hold-out sample (AUC [95%CI]=0.79 [0.77, 0.82]) and in an external dataset (Whitehall II cohort, AUC [95%CI]=0.83 [0.79,0.87]). The UKB-DRS also significantly outperformed four published risk scores (i.e., Australian National University Alzheimer’s Disease Risk Index (ANU-ADRI), Cardiovascular Risk Factors, Aging, and Dementia score (CAIDE), Dementia Risk Score (DRS), and the Framingham Cardiovascular Risk Score (FRS) across both test sets.CONCLUSION: The UKB-DRS represents a novel easy-to-use tool that could be used for routine care or targeted selection of at-risk individuals into clinical trials.


2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
J Sousa ◽  
M Mendonca ◽  
A Pereira ◽  
F Mendonca ◽  
J Monteiro ◽  
...  

Abstract TCF21 is a member of the basic-helix-loop-helix (bHLH) transcriptor factor family, being critical for embryogenesis of the heart, kidney and spleen. TCF21 also regulates epicardium-derived cells differentiation into smooth muscle and fibroblast lineages. Aim Investigate the impact of TCF21 rs12190287 in the prediction and discrimination of CAD risk, individually or into a genetic risk score (GRS) formed by a set of 13 genetic variants. Methods We performed a case-control study with 3050 subjects (1619 coronary patients with 53.3±8 years; 78.9% male and 1431 controls with 52.8±8 years; 76.6% male) from GENEMACOR study. We investigated all traditional risk factors (TRF), as well as 13 genetic variants from GWAS with unknown pathophysiological pathway so far, including TCF21 (rs12190287), ZC3HC1 (rs11556924), PSRC1/SORTI (rs599839), PHACTR1 (rs1332844), MIA3 (rs17465637), SMAD3 (rs17228212), ZNF259 (rs964184), ADAMTS7 (rs3825807), CDKN2B (rs4977574), 9p21.3 (rs1333049), KIF6 (rs20455), PCSK9 (rs2114580) and GJA4 (rs618675). A multiplicative genetic risk score with these 13 genetic variants (m13GRS), was calculated. Subsequently, two logistic regressions were performed; primarily with all the TRF and all the genes individually and the second with TRF and m13GRS. Results The first multivariate analysis shows that, besides the strong association of the TRF with CAD risk (with smoking status on the top of the list, with an OR of 3.2; p<0.0001), TCF21 rs12190287 was the most significant variant from all the studied genetic set with a CAD risk of 1.5 (95% CI: 1.1–1.9; p=0.004), followed by the well-known genetic determinant CDKN2B rs4977574 (OR=1.4; 95% CI: 1.1–1.7; p<0.002) and ZC3HC1 rs11556924 (OR=1.3; 95% CI: 1.0–1.7; p=0.034). When GRS is included to the model, all the TRF remain in the equation by the same order, and the m13GRS persisted as an independent predictor for CAD risk (OR=1.7; 95% CI: 1.4–2.0; p<0.0001). Conclusion TCF21 rs12190287 is a risk factor for CAD in the Portuguese population, either individually or incorporated in a m13GRS. TCF21 risk is independent from TRF. In the future, TCF21 can provide a new clues to identify patients at high cardiovascular risk and become a potential target for gene therapy.


2017 ◽  
Vol 38 (suppl_1) ◽  
Author(s):  
A. Pereira ◽  
M. Neto ◽  
R. Rodrigues ◽  
J. Monteiro ◽  
A.C. Sousa ◽  
...  

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 4400-4400 ◽  
Author(s):  
Maria Teresa Lupo-Stanghellini ◽  
Elisa Sala ◽  
Simona Piemontese ◽  
Mara Morelli ◽  
Raffaella Greco ◽  
...  

Abstract Background Optimization of pre-transplant risk assessment is a crucial issue to improve the allo-HSCT decision making process. Actually 3 major algorithms are in use in clinical practice: the EBMT risk score, the Hematopoietic Cell Transplantation Comorbidity Index (HCT-CI) score and - more recently introduced - the refined Disease Risk Index (DRI). DRI was defined to calibrate HSCT outcome across studies and centers. It was developed as a tool to assign patients into risk groups based on disease type and status at the time of transplantation. The aim of the DRI is to provide a robust tool that can be used for prognostication, for the analysis and interpretation of retrospective data, whether conducted in single-center, multicenter, or registry settings, or within the context of the federally mandated center outcome reporting. The DRI can also be used for the stratification of patients entering prospective HCT clinical trials. DRI is not a fixed tool but instead it was conceived to be refined by the transplant community as new information becomes available. Here we are presenting the results of a retrospective study designed to evaluate the 3 aforementioned score in stratification and prognostication of transplant outcome after a haploidentical HSCT (haplo-HSCT). Patients and Methods We included 220 adult patients (pts - 138 male, 82 female) who underwent a haplo-HSCT for hematologic malignancies, between 2006 and 2014 and were reported to our Institutional database. Risk assessment score and outcome analysis included all consecutive pts receiving an haplo-HSCT as 1st allogeneic transplantation. Pts receiving haplo-HSCT as 2nd or 3rd HSCT were excluded from the present analysis. Median age was 49 years (range, 15-77). The cohort included a broad representation of diseases (138/220 acute leukemia, 30 Hodgkin lymphoma); 62 pts were in complete remission at transplant, 158 were presenting active disease. Conditioning regimens mostly rely upon the combination of treosulfan plus fludarabine (201/220) and total body irradiation (range 200 - 400 cGy) was utilized in 52 patients. GVHD prophylaxis consisted mostly of an mTor inhibitor (rapamycin) combined with mycophenolate mofetil. The majority of patients received peripheral blood stem cells from a family haploidentical donor as stem cell source, while only 4 patients received bone marrow transplant. A written consent was given by pts allowing the use of medical records for research in accordance with the Declaration of Helsinki. Results The median follow-up for survivors was 37 months (r 6-107). The overall survival (OS) at 2-y was 35% and the transplant related mortality at 100-days 23%. The 2y OS according to EBMT / HCT-CI / DRI risk score are reported in table 1.a and figure 1. The evaluation of the HCT-CI impact after DRI stratification was able to show a significant difference in outcome showing better survival for pts with low DRI score and low HCT-CI score as expected (table 1.b). Discussion Refined DRI score and HCT-CI score predict survival after haplo-HSCT. The integrated application of refined DRI and HCT-CI may improve the definition of transplant eligibility for pts candidate to allogeneic HSCT form alternative donors including family haploidentical source. Table 1a. EBMT score 0-3 % pts 4-5 %pts > 5 %pts p 51% 17 34% 51 27% 32 0.07 HCT-CI score 0-2 3-4 >/= 5 48% 59 36% 31 0% 10 0.0001 DRI score Low-Intermediate High Very-High 61% 32 27% 51 5% 17 0.0001 Table 1b. HCT-CI 0-4 HCT-CI >/=5 p DRILow-Intermediate 64% 0% 0.0001 DRIHigh-Very High 29% 0% Figure 1. Figure 1. Disclosures No relevant conflicts of interest to declare.


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