scholarly journals Contribution of genetic ancestry and polygenic risk score in meeting vitamin B12 needs in healthy Brazilian children and adolescents

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Carlos Alessandro Fuzo ◽  
Fábio da Veiga Ued ◽  
Sofia Moco ◽  
Ornella Cominetti ◽  
Sylviane Métairon ◽  
...  

AbstractPolymorphisms in genes related to the metabolism of vitamin B12 haven’t been examined in a Brazilian population. To (a) determine the correlation between the local genetic ancestry components and vitamin B12 levels using ninety B12-related genes; (b) determine associations between these genes and their SNPs with vitamin B12 levels; (c) determine a polygenic risk score (PRS) using significant variants. This cross-sectional study included 168 children and adolescents, aged 9–13 years old. Total cobalamin was measured in plasma. Genotyping arrays and whole exome data were combined to yield ~ 7000 SNPs in 90 genes related to vitamin B12. The Efficient Local Ancestry Inference was used to estimate local ancestry for African (AFR), Native American, and European (EUR). The association between the genotypes and vitamin B12 levels were determined with generalized estimating equation. Vitamin B12 levels were driven by positive (EUR) and negative (AFR, AMR) correlations with genetic ancestry. A set of 36 variants were used to create a PRS that explained 42% of vitamin level variation. Vitamin B12 levels are influenced by genetic ancestry and a PRS explained almost 50% of the variation in plasma cobalamin in Brazilian children and adolescents.

Neurology ◽  
2017 ◽  
Vol 88 (17) ◽  
pp. 1650-1658 ◽  
Author(s):  
Stephanie A. Schultz ◽  
Elizabeth A. Boots ◽  
Burcu F. Darst ◽  
Henrik Zetterberg ◽  
Kaj Blennow ◽  
...  

Objective:To examine whether a polygenic risk score (PRS) derived from APOE4, CLU, and ABCA7 is associated with CSF biomarkers of Alzheimer disease (AD) pathology and whether higher cardiorespiratory fitness (CRF) modifies the association between the PRS and CSF biomarkers.Methods:Ninety-five individuals from the Wisconsin Registry for Alzheimer's Prevention were included in these cross-sectional analyses. They were genotyped for APOE4, CLU, and ABCA7, from which a PRS was calculated for each participant. The participants underwent lumbar puncture for CSF collection. β-Amyloid 42 (Aβ42), Aβ40, total tau (t-tau), and phosphorylated tau (p-tau) were quantified by immunoassays, and Aβ42/Aβ40 and tau/Aβ42 ratios were computed. CRF was estimated from a validated equation incorporating sex, age, body mass index, resting heart rate, and self-reported physical activity. Covariate-adjusted regression analyses were used to test for associations between the PRS and CSF biomarkers. In addition, by including a PRS×CRF term in the models, we examined whether these associations were modified by CRF.Results:A higher PRS was associated with lower Aβ42/Aβ40 (p < 0.001), higher t-tau/Aβ42 (p = 0.012), and higher p-tau/Aβ42 (p = 0.040). Furthermore, we observed PRS × CRF interactions for Aβ42/Aβ40 (p = 0.003), t-tau/Aβ42 (p = 0.003), and p-tau/Aβ42 (p = 0.001). Specifically, the association between the PRS and these CSF biomarkers was diminished in those with higher CRF.Conclusions:In a late-middle-aged cohort, CRF attenuates the adverse influence of genetic vulnerability on CSF biomarkers. These findings support the notion that increased cardiorespiratory fitness may be beneficial to those at increased genetic risk for AD.


Author(s):  
Anke Hüls ◽  
Marvin N. Wright ◽  
Leonie H. Bogl ◽  
Jaakko Kaprio ◽  
Lauren Lissner ◽  
...  

Abstract Background Childhood obesity is a complex multifaceted condition, which is influenced by genetics, environmental factors, and their interaction. However, these interactions have mainly been studied in twin studies and evidence from population-based cohorts is limited. Here, we analyze the interaction of an obesity-related genome-wide polygenic risk score (PRS) with sociodemographic and lifestyle factors for BMI and waist circumference (WC) in European children and adolescents. Methods The analyses are based on 8609 repeated observations from 3098 participants aged 2–16 years from the IDEFICS/I.Family cohort. A genome-wide polygenic risk score (PRS) was calculated using summary statistics from independent genome-wide association studies of BMI. Associations were estimated using generalized linear mixed models adjusted for sex, age, region of residence, parental education, dietary intake, relatedness, and population stratification. Results The PRS was associated with BMI (beta estimate [95% confidence interval (95%—CI)] = 0.33 [0.30, 0.37], r2 = 0.11, p value = 7.9 × 10−81) and WC (beta [95%—CI] = 0.36 [0.32, 0.40], r2 = 0.09, p value = 1.8 × 10−71). We observed significant interactions with demographic and lifestyle factors for BMI as well as WC. Children from Southern Europe showed increased genetic liability to obesity (BMI: beta [95%—CI] = 0.40 [0.34, 0.45]) in comparison to children from central Europe (beta [95%—CI] = 0.29 [0.23, 0.34]), p-interaction = 0.0066). Children of parents with a low level of education showed an increased genetic liability to obesity (BMI: beta [95%—CI] = 0.48 [0.38, 0.59]) in comparison to children of parents with a high level of education (beta [95%—CI] = 0.30 [0.26, 0.34]), p-interaction = 0.0012). Furthermore, the genetic liability to obesity was attenuated by a higher intake of fiber (BMI: beta [95%—CI] interaction = −0.02 [−0.04,−0.01]) and shorter screen times (beta [95%—CI] interaction = 0.02 [0.00, 0.03]). Conclusions Our results highlight that a healthy childhood environment might partly offset a genetic predisposition to obesity during childhood and adolescence.


2020 ◽  
Vol 46 (Supplement_1) ◽  
pp. S39-S40
Author(s):  
Lais Fonseca ◽  
Gabrielle de Oliveira S V Navarro ◽  
Marcos Leite Santoro ◽  
Pedro M Pan ◽  
Rodrigo Bressan ◽  
...  

Abstract Background Polygenic risk score to schizophrenia (PRS-SZ) provides a liability measure summarizing each genetic risk variant and the polyenviromic risk score (PERS) proposes the same regarding exposure factors to psychosis, yet few studies addressed how both scopes interplay, especially in early developmental stages. Psychotic experiences (PE) rest on the lower range of psychosis spectrum, representing an important asset to study psychotic disorders, ie. schizophrenia. However, investigators failed to find significant associations between PRS-SZ and PE in children. We hypothesize that unspecific psychopathology – also previously linked to PE – can mediate the effects of higher risk load for psychosis during neurodevelopment. Thus, our aim is to test a moderated mediation model in which PERS and general psychopathology in youths can lead to PE, prospectively, through SZ genetic liability. Methods We analyzed data from the Brazilian High-Risk Cohort for Psychiatric Disorders, a youth community sample with 2 time-points: baseline (w0) and 3year follow-up (w1), from São Paulo and Porto Alegre, both urban centers. PRS-SZ was calculated using summary statistics from the PGC and corrected for the 10 principal components of the GWAS. PE were assessed at w0 and w1 with the Community Assessment Psychotic Experiences – CAPE and trained psychologists rated the reliability of students’ answers. The Development and Well-Being Assessment – DAWBA, a structured interview with a transdiagnostic approach, was used to extract a general factor for psychopathology (P-factor) on w0. Latent variables for PE and P-factor were generated through confirmatory factor analysis yielding good model fits. We calculated PERS on w0, as validated, with birth season, urbanicity, cannabis use, paternal age, obstetric/perinatal complications and physical/sexual abuse, neglect or parental loss/separation. Last, we built a moderated mediation diagram based on model 15 of Haye’s PROCESS builder on SPSS: (X) PERS &gt; (M) P-factor &gt; (Y) PE w1, with (V) PRS-SZ as a moderator for PERS &gt; PE and P-factor &gt; PE. Age, sex, site and PE w0 were covariates. Results 2,511 students (6–14 y/o, mean=10.2 ± 1.9, 53% male) completed the w0 assessment and 2,010 the follow-up (mean=13.5 y/o ± 1.9). In our moderated mediation model, P-factor emerged as a full mediator between PERS and PE w1 (B=.324, BootLL–UL CI=.138 to .553). We found PRS-SZ provided a significant moderation effect on the P-factor &gt; PE relation (M*V=.053, R2-chng=.003, p=.037), with the moderator effects of the focal predictor rising considerably according to values of PRS-SZ: p16 (B=.047, p=.192), p50 (B=.099, p=.000) and p84 (B=.153, p=.000). PRS-SZ did not moderate PERS &gt; PE separately (X*V=.016, R2-chng=.001, p=.974). However, conditional indirect coefficients for the complete model were also significant for higher PRS-SZ levels: p16 (B=.143, BootLL–UL CI=-.072 to .389), p50 (B=.304, BootLL–UL CI=.126 to .529) and p84 (B=.470, BootLL–UL CI=.197 to .814). Discussion Our findings suggest environmental risk factors and intermediate phenotypes – namely unspecific non-psychotic psychopathology – can play crucial and intertwined roles in children and adolescents with higher genetic liability to SZ. Moreover, the moderation effects of PRS-SZ imply the existence of thresholds for those relations. The non-clinical nature and age of our sample could explain the low effect sizes. Next steps would include additional phenotypic tracks, such as cognition and social functionality – both previously connected to PRS-SZ as well. We hope our results can help disentangle the genetic and environmental trajectories bonding SZ proneness and PE, and possibly contribute to risk assessment in youths, especially among vulnerable populations.


2020 ◽  
Vol 46 (Supplement_1) ◽  
pp. S103-S104
Author(s):  
Sintia Belangero ◽  
Gabrielle Navarro ◽  
Lais Fonseca ◽  
Marcos Leite Santoro ◽  
Adrielle Oliveira ◽  
...  

Abstract Background Psychotic experiences (PE) include subliminal hallucinations and delusions without the characteristic functional impairment that constitutes a psychotic disorder. PE are prevalent during childhood and adolescence and studies show a clear link with higher risk to clinical psychosis and schizophrenia. The persistence and accumulation of psychosocial problems are also well established risk factors, but how they interplay with genetic risk is still unclear, especially during developmental stages. Polygenic risk score to schizophrenia (PRS-SZ) and the polyenviromic risk score (PERS) are two validated measures created to assess the contribution of each factor on the development of such psychopathology. Our aim was to verify if PRS and PERS jointly are able to predict psychotic experiences in a cohort of children and adolescents, considering two time-points. Methods We analyzed data from the High Risk Cohort (HRC) for Psychiatric Disorders, composed of 2511 children and adolescents from São Paulo and Porto Alegre. PRS-SZ was calculated using summary statistics from the PGC and corrected for the ten first principal components (PC) of the GWAS. In order to calculate the PERS, we used data corresponding to the nine variables that are consider on the score, being respectively, winter or spring birth, urbanicity, cannabis use, advanced paternal age, obstetric and perinatal complications, physical and sexual abuse, neglect and paternal death, therefore if the person is exposed to one or more enviromic factor the odds ratio corresponding to that factor are added up and divided by all factors considered on the calculation, generating the final score. PE was assessed through the Community Assessment of Psychotic Experiences (CAPE) and a latent variable was generated through confirmatory factor analysis producing a good model fit. The prediction model was performed using different linear regressions where the clinical outcome was the CAPE score and PRS and PERS as independent variables. We performed Spearman’s correlations in order to observe possible correlation between our variables. Results Our sample varied from 9 to 18 years old (Mean: 13.49, SD: 1.9, 53.9% male) and a total of 1704 individuals provided available CAPE scores, PRS and PERS. When Spearman’s correlations were performed, we observed a non-significant weak positive correlation between PERS x CAPE (R2 = 0.0118, p = 0.623) and between PRS x CAPE (R2 = 0.0292, p = 0.228) and a non-significant negative correlation between PERS x PRS (R2 = -0.03051, p = 0.207). Lastly, we perform a multiple linear regression and used in the model the ten first PC as covariables and, we observed that with an increase in one unit in the PRS, the model explain positively about 8% of the PE variance (R2 = 0.007986 (F(12;1691) = 2.143, p = 0.01225). When we used the PRS already adjusted by ten first PC in the model, this significance is lost (R2=0.0008381 F(2);1701, p=0.1804 (PC2 and PC8 explaining the most of variance). Discussion Previous studies have shown a lack of significant association between PRS-SZ and PE for youth samples. Our results are in line with such results, but also depict a trend direction for those variables. Although all correlations were non-significant statically, they show us their direction as discussed below. The higher PERS, higher the psychotic experience, suggesting known environment risk factors for psychosis play a role in the report of PE as well. The higher PRS, the higher psychotic experience also. On the other hand, we found a negative correlation between PERS and PRS. In addition, PERS and PRS jointly were not able to predict psychotic experience. Although non-significant, our results may shed light on knowledge of disease.


Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 1645-P
Author(s):  
JOHANNE TREMBLAY ◽  
REDHA ATTAOUA ◽  
MOUNSIF HALOUI ◽  
RAMZAN TAHIR ◽  
CAROLE LONG ◽  
...  

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 304-OR
Author(s):  
MICHAEL L. MULTHAUP ◽  
RYOSUKE KITA ◽  
NICHOLAS ERIKSSON ◽  
STELLA ASLIBEKYAN ◽  
JANIE SHELTON ◽  
...  

2015 ◽  
Vol 11 (7S_Part_19) ◽  
pp. P872-P872 ◽  
Author(s):  
Valentina Escott-Price ◽  
Rebecca Sims ◽  
Denise Harold ◽  
Maria Vronskaya ◽  
Peter Holmans ◽  
...  

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