Interaction between GSTT1 and GSTP1 allele variants as a risk modulating-factor for autism spectrum disorders / Mohammad H. RAHBAR in Research in Autism Spectrum Disorders, 12 (April 2015)  

Public ISBD [article]  inResearch in Autism Spectrum Disorders > 12 (April 2015) . - p.1-9 Titre : Interaction between GSTT1 and GSTP1 allele variants as a risk modulating-factor for autism spectrum disorders Type de document : Texte imprimé et/ou numérique Auteurs : Mohammad H. RAHBAR, Auteur ; Maureen SAMMS-VAUGHAN, Auteur ; Jianzhong MA, Auteur ; Jan BRESSLER, Auteur ; Katherine A. LOVELAND, Auteur ; Manouchehr HESSABI, Auteur ; Aisha S. DICKERSON, Auteur ; Megan L. GROVE, Auteur ; Sydonnie SHAKESPEARE-PELLINGTON, Auteur ; Compton BEECHER, Auteur ; Wayne MCLAUGHLIN, Auteur ; Eric BOERWINKLE, Auteur Article en page(s) : p.1-9 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder  Oxidative stress  Glutathione S-transferase (GST) genes  Modulating-factor  Gene–gene interaction Index. décimale : PER Périodiques Résumé : Abstract We investigated the role of glutathione S-transferase (GST) genes in Autism Spectrum Disorder (ASD). We used data from 111 pairs of age- and sex-matched ASD cases and typically developing (TD) controls between 2 and 8 years of age from Jamaica to investigate the role of GST pi 1 (GSTP1), GST theta 1 (GSTT1), and GST mu 1 (GSTM1) polymorphisms in susceptibility to ASD. In univariable conditional logistic regression models we did not observe significant associations between ASD status and GSTT1, GSTM1, or GSTP1 genotype (all P > 0.15). However, in multivariable conditional logistic regression models, we identified a significant interaction between GSTP1 and GSTT1 in relation to ASD. Specifically, in children heterozygous for the GSTP1 Ile105Val polymorphism, the odds of ASD was significantly higher in those with the null GSTT1 genotype than those with the other genotypes [matched odds ratio (MOR) = 2.97, 95% CI (1.09, 8.01), P = 0.03]. Replication in other populations is warranted. En ligne : http://dx.doi.org/10.1016/j.rasd.2014.12.008 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=260 [article] Interaction between GSTT1 and GSTP1 allele variants as a risk modulating-factor for autism spectrum disorders [Texte imprimé et/ou numérique] / Mohammad H. RAHBAR, Auteur ; Maureen SAMMS-VAUGHAN, Auteur ; Jianzhong MA, Auteur ; Jan BRESSLER, Auteur ; Katherine A. LOVELAND, Auteur ; Manouchehr HESSABI, Auteur ; Aisha S. DICKERSON, Auteur ; Megan L. GROVE, Auteur ; Sydonnie SHAKESPEARE-PELLINGTON, Auteur ; Compton BEECHER, Auteur ; Wayne MCLAUGHLIN, Auteur ; Eric BOERWINKLE, Auteur . - p.1-9. Langues : Anglais (eng) in Research in Autism Spectrum Disorders > 12 (April 2015) . - p.1-9 Mots-clés : Autism spectrum disorder  Oxidative stress  Glutathione S-transferase (GST) genes  Modulating-factor  Gene–gene interaction Index. décimale : PER Périodiques Résumé : Abstract We investigated the role of glutathione S-transferase (GST) genes in Autism Spectrum Disorder (ASD). We used data from 111 pairs of age- and sex-matched ASD cases and typically developing (TD) controls between 2 and 8 years of age from Jamaica to investigate the role of GST pi 1 (GSTP1), GST theta 1 (GSTT1), and GST mu 1 (GSTM1) polymorphisms in susceptibility to ASD. In univariable conditional logistic regression models we did not observe significant associations between ASD status and GSTT1, GSTM1, or GSTP1 genotype (all P > 0.15). However, in multivariable conditional logistic regression models, we identified a significant interaction between GSTP1 and GSTT1 in relation to ASD. Specifically, in children heterozygous for the GSTP1 Ile105Val polymorphism, the odds of ASD was significantly higher in those with the null GSTT1 genotype than those with the other genotypes [matched odds ratio (MOR) = 2.97, 95% CI (1.09, 8.01), P = 0.03]. Replication in other populations is warranted. En ligne : http://dx.doi.org/10.1016/j.rasd.2014.12.008 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=260

Interaction between manganese and GSTP1 in relation to autism spectrum disorder while controlling for exposure to mixture of lead, mercury, arsenic, and cadmium / Mohammad H. RAHBAR in Research in Autism Spectrum Disorders, 55 (November 2018)  

Public ISBD [article]  inResearch in Autism Spectrum Disorders > 55 (November 2018) . - p.50-63 Titre : Interaction between manganese and GSTP1 in relation to autism spectrum disorder while controlling for exposure to mixture of lead, mercury, arsenic, and cadmium Type de document : Texte imprimé et/ou numérique Auteurs : Mohammad H. RAHBAR, Auteur ; Maureen SAMMS-VAUGHAN, Auteur ; MinJae LEE, Auteur ; MacKinsey A. CHRISTIAN, Auteur ; Jan BRESSLER, Auteur ; Manouchehr HESSABI, Auteur ; Megan L. GROVE, Auteur ; Sydonnie SHAKESPEARE-PELLINGTON, Auteur ; Charlene COORE DESAI, Auteur ; Jody-Ann REECE, Auteur ; Katherine A. LOVELAND, Auteur ; Compton BEECHER, Auteur ; Wayne MCLAUGHLIN, Auteur ; Eric BOERWINKLE, Auteur Article en page(s) : p.50-63 Langues : Anglais (eng) Mots-clés : Autism spectrum disorder (ASD)  Heavy metals  Interaction  Weighted quantile sum (WQS) regression Index. décimale : PER Périodiques Résumé : Background We previously reported a significant interactive association between polymorphisms of GSTP1 and blood manganese concentrations (BMC) with autism spectrum disorder (ASD) in Jamaican children. In this paper, we investigate the same interactive association with ASD while adjusting for the mixture of four metals (lead, mercury, cadmium, and arsenic). Method We used data from 163 case-control pairs of children 2–8 years of age from our autism project in Jamaica, in which we collected blood for heavy metals analysis at enrollment. To minimize potential multicollinearity between concentrations of the four metals, we generated a mixture index using generalized weighted quantile sum regression, which was used in conditional logistic regression models to control for the four metals while assessing the interactive association between GSTP1 and BMC with ASD. Results Similar to the findings we reported previously, we found that in co-dominant and dominant models for GSTP1, among children with the Ile/Ile genotype, those with BMC???12??g/L had 4.6 and 4.27 times higher odds of ASD compared to those with BMC? En ligne : https://doi.org/10.1016/j.rasd.2018.08.003 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=369 [article] Interaction between manganese and GSTP1 in relation to autism spectrum disorder while controlling for exposure to mixture of lead, mercury, arsenic, and cadmium [Texte imprimé et/ou numérique] / Mohammad H. RAHBAR, Auteur ; Maureen SAMMS-VAUGHAN, Auteur ; MinJae LEE, Auteur ; MacKinsey A. CHRISTIAN, Auteur ; Jan BRESSLER, Auteur ; Manouchehr HESSABI, Auteur ; Megan L. GROVE, Auteur ; Sydonnie SHAKESPEARE-PELLINGTON, Auteur ; Charlene COORE DESAI, Auteur ; Jody-Ann REECE, Auteur ; Katherine A. LOVELAND, Auteur ; Compton BEECHER, Auteur ; Wayne MCLAUGHLIN, Auteur ; Eric BOERWINKLE, Auteur . - p.50-63. Langues : Anglais (eng) in Research in Autism Spectrum Disorders > 55 (November 2018) . - p.50-63 Mots-clés : Autism spectrum disorder (ASD)  Heavy metals  Interaction  Weighted quantile sum (WQS) regression Index. décimale : PER Périodiques Résumé : Background We previously reported a significant interactive association between polymorphisms of GSTP1 and blood manganese concentrations (BMC) with autism spectrum disorder (ASD) in Jamaican children. In this paper, we investigate the same interactive association with ASD while adjusting for the mixture of four metals (lead, mercury, cadmium, and arsenic). Method We used data from 163 case-control pairs of children 2–8 years of age from our autism project in Jamaica, in which we collected blood for heavy metals analysis at enrollment. To minimize potential multicollinearity between concentrations of the four metals, we generated a mixture index using generalized weighted quantile sum regression, which was used in conditional logistic regression models to control for the four metals while assessing the interactive association between GSTP1 and BMC with ASD. Results Similar to the findings we reported previously, we found that in co-dominant and dominant models for GSTP1, among children with the Ile/Ile genotype, those with BMC???12??g/L had 4.6 and 4.27 times higher odds of ASD compared to those with BMC? En ligne : https://doi.org/10.1016/j.rasd.2018.08.003 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=369

Interaction between a mixture of heavy metals (lead, mercury, arsenic, cadmium, manganese, aluminum) and GSTP1, GSTT1, and GSTM1 in relation to autism spectrum disorder / Mohammad H. RAHBAR in Research in Autism Spectrum Disorders, 79 (November 2020)  

Public ISBD [article]  inResearch in Autism Spectrum Disorders > 79 (November 2020) . - 101681 Titre : Interaction between a mixture of heavy metals (lead, mercury, arsenic, cadmium, manganese, aluminum) and GSTP1, GSTT1, and GSTM1 in relation to autism spectrum disorder Type de document : Texte imprimé et/ou numérique Auteurs : Mohammad H. RAHBAR, Auteur ; Maureen SAMMS-VAUGHAN, Auteur ; MinJae LEE, Auteur ; Jing ZHANG, Auteur ; Manouchehr HESSABI, Auteur ; Jan BRESSLER, Auteur ; MacKinsey A. BACH, Auteur ; Megan L. GROVE, Auteur ; Sydonnie SHAKESPEARE-PELLINGTON, Auteur ; Compton BEECHER, Auteur ; Wayne MCLAUGHLIN, Auteur ; Katherine A. LOVELAND, Auteur Article en page(s) : 101681 Langues : Anglais (eng) Mots-clés : Autism Spectrum Disorder  Glutathione S-transferase (GST) genes ( and )  Mixture analysis  Generalized weighted quantile sum regression (gWQS)  Heavy metals  Jamaica Index. décimale : PER Périodiques Résumé : Background Exposure to many environmental chemicals, including metals, often does not occur in isolation, hence requires assessment of the associations between exposure to mixtures of chemicals and human health. Objectives To investigate associations of a metal mixture of lead (Pb), mercury (Hg), arsenic (As), cadmium (Cd), manganese (Mn), and aluminum (Al) in children with autism spectrum disorder (ASD), additively or interactively with each of three glutathione S-transferase (GST) genes (GSTP1, GSTT1, and GSTM1). Method Using data from 266 case-control pairs of Jamaican children (2–8 years old), we fitted negative and positive generalized weighted quantile sum (gWQS) regression models to assess the aforementioned associations. Results Based on additive and interactive negative gWQS models adjusted for maternal age, parental education, child’s parish, and seafood consumption, we found inverse associations of the overall mixture score with ASD [MOR (95 % CI) = 0.70 (0.49, 0.99); P? En ligne : https://doi.org/10.1016/j.rasd.2020.101681 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=434 [article] Interaction between a mixture of heavy metals (lead, mercury, arsenic, cadmium, manganese, aluminum) and GSTP1, GSTT1, and GSTM1 in relation to autism spectrum disorder [Texte imprimé et/ou numérique] / Mohammad H. RAHBAR, Auteur ; Maureen SAMMS-VAUGHAN, Auteur ; MinJae LEE, Auteur ; Jing ZHANG, Auteur ; Manouchehr HESSABI, Auteur ; Jan BRESSLER, Auteur ; MacKinsey A. BACH, Auteur ; Megan L. GROVE, Auteur ; Sydonnie SHAKESPEARE-PELLINGTON, Auteur ; Compton BEECHER, Auteur ; Wayne MCLAUGHLIN, Auteur ; Katherine A. LOVELAND, Auteur . - 101681. Langues : Anglais (eng) in Research in Autism Spectrum Disorders > 79 (November 2020) . - 101681 Mots-clés : Autism Spectrum Disorder  Glutathione S-transferase (GST) genes ( and )  Mixture analysis  Generalized weighted quantile sum regression (gWQS)  Heavy metals  Jamaica Index. décimale : PER Périodiques Résumé : Background Exposure to many environmental chemicals, including metals, often does not occur in isolation, hence requires assessment of the associations between exposure to mixtures of chemicals and human health. Objectives To investigate associations of a metal mixture of lead (Pb), mercury (Hg), arsenic (As), cadmium (Cd), manganese (Mn), and aluminum (Al) in children with autism spectrum disorder (ASD), additively or interactively with each of three glutathione S-transferase (GST) genes (GSTP1, GSTT1, and GSTM1). Method Using data from 266 case-control pairs of Jamaican children (2–8 years old), we fitted negative and positive generalized weighted quantile sum (gWQS) regression models to assess the aforementioned associations. Results Based on additive and interactive negative gWQS models adjusted for maternal age, parental education, child’s parish, and seafood consumption, we found inverse associations of the overall mixture score with ASD [MOR (95 % CI) = 0.70 (0.49, 0.99); P? En ligne : https://doi.org/10.1016/j.rasd.2020.101681 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=434

Maternal and Paternal Age are Jointly Associated with Childhood Autism in Jamaica / Mohammad Hossein RAHBAR in Journal of Autism and Developmental Disorders, 42-9 (September 2012)  

Public ISBD [article]  inJournal of Autism and Developmental Disorders > 42-9 (September 2012) . - p.1928-1938 Titre : Maternal and Paternal Age are Jointly Associated with Childhood Autism in Jamaica Type de document : Texte imprimé et/ou numérique Auteurs : Mohammad Hossein RAHBAR, Auteur ; Maureen SAMMS-VAUGHAN, Auteur ; Katherine A. LOVELAND, Auteur ; Deborah A. PEARSON, Auteur ; Jan BRESSLER, Auteur ; Zhongxue CHEN, Auteur ; Manouchehr ARDJOMAND-HESSABI, Auteur ; Sydonnie SHAKESPEARE-PELLINGTON, Auteur ; Megan L. GROVE, Auteur ; Compton BEECHER, Auteur ; Kari BLOOM, Auteur ; Eric BOERWINKLE, Auteur Année de publication : 2012 Article en page(s) : p.1928-1938 Langues : Anglais (eng) Mots-clés : Autism spectrum disorders  Maternal age  Paternal age  Multivariate General Linear Models  Multicollinearity Index. décimale : PER Périodiques Résumé : Several studies have reported maternal and paternal age as risk factors for having a child with Autism Spectrum Disorder (ASD), yet the results remain inconsistent. We used data for 68 age- and sex-matched case–control pairs collected from Jamaica. Using Multivariate General Linear Models (MGLM) and controlling for parity, gestational age, and parental education, we found a significant (p < 0.0001) joint effect of parental ages on having children with ASD indicating an adjusted mean paternal age difference between cases and controls of [5.9 years; 95% CI (2.6, 9.1)] and a difference for maternal age of [6.5 years; 95% CI (4.0, 8.9)]. To avoid multicollinearity in logistic regression, we recommend joint modeling of parental ages as a vector of outcome variables using MGLM. En ligne : http://dx.doi.org/10.1007/s10803-011-1438-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=180 [article] Maternal and Paternal Age are Jointly Associated with Childhood Autism in Jamaica [Texte imprimé et/ou numérique] / Mohammad Hossein RAHBAR, Auteur ; Maureen SAMMS-VAUGHAN, Auteur ; Katherine A. LOVELAND, Auteur ; Deborah A. PEARSON, Auteur ; Jan BRESSLER, Auteur ; Zhongxue CHEN, Auteur ; Manouchehr ARDJOMAND-HESSABI, Auteur ; Sydonnie SHAKESPEARE-PELLINGTON, Auteur ; Megan L. GROVE, Auteur ; Compton BEECHER, Auteur ; Kari BLOOM, Auteur ; Eric BOERWINKLE, Auteur . - 2012 . - p.1928-1938. Langues : Anglais (eng) in Journal of Autism and Developmental Disorders > 42-9 (September 2012) . - p.1928-1938 Mots-clés : Autism spectrum disorders  Maternal age  Paternal age  Multivariate General Linear Models  Multicollinearity Index. décimale : PER Périodiques Résumé : Several studies have reported maternal and paternal age as risk factors for having a child with Autism Spectrum Disorder (ASD), yet the results remain inconsistent. We used data for 68 age- and sex-matched case–control pairs collected from Jamaica. Using Multivariate General Linear Models (MGLM) and controlling for parity, gestational age, and parental education, we found a significant (p < 0.0001) joint effect of parental ages on having children with ASD indicating an adjusted mean paternal age difference between cases and controls of [5.9 years; 95% CI (2.6, 9.1)] and a difference for maternal age of [6.5 years; 95% CI (4.0, 8.9)]. To avoid multicollinearity in logistic regression, we recommend joint modeling of parental ages as a vector of outcome variables using MGLM. En ligne : http://dx.doi.org/10.1007/s10803-011-1438-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=180

Synergic effect of GSTP1 and blood manganese concentrations in Autism Spectrum Disorder / Mohammad H. RAHBAR in Research in Autism Spectrum Disorders, 18 (October 2015)  

Public ISBD [article]  inResearch in Autism Spectrum Disorders > 18 (October 2015) . - p.73-82 Titre : Synergic effect of GSTP1 and blood manganese concentrations in Autism Spectrum Disorder Type de document : Texte imprimé et/ou numérique Auteurs : Mohammad H. RAHBAR, Auteur ; Maureen SAMMS-VAUGHAN, Auteur ; Jianzhong MA, Auteur ; Jan BRESSLER, Auteur ; Aisha S. DICKERSON, Auteur ; Manouchehr HESSABI, Auteur ; Katherine A. LOVELAND, Auteur ; Megan L. GROVE, Auteur ; Sydonnie SHAKESPEARE-PELLINGTON, Auteur ; Compton BEECHER, Auteur ; Wayne MCLAUGHLIN, Auteur ; Eric BOERWINKLE, Auteur Article en page(s) : p.73-82 Langues : Anglais (eng) Mots-clés : Manganese  Autism Spectrum Disorder (ASD)  Glutathione-S-transferase (GST) genes  Oxidative stress  Interactions  Jamaica Index. décimale : PER Périodiques Résumé : Abstract We used data from 100 age- and sex-matched case-control pairs (age 2–8 years) from Jamaica to investigate whether there is an interaction between glutathione-S-transferase (GST) genes and blood manganese concentrations (BMC) in relation to Autism Spectrum Disorder (ASD). Our findings, indicate that among children who had the Ile/Ile genotype for GST pi 1 (GSTP1), those with BMC ? 12 ?g/L had about 4 times higher odds of ASD than those with BMC < 12 ?g/L, (P = 0.03) under a co-dominant genetic model. After adjusting for potential confounders, among the subgroup of children with genotype Ile/Ile, those with BMC ? 12 ?g/L had about six times higher odds of ASD than those with BMC < 12 ?g/L, (P = 0.04). The results were similar when a recessive genetic model was used. These findings suggest a possible synergic effect of BMC and GSTP1 in ASD. Since our analysis included a variety of genetic models and was not adjusted for multiple testing, replication in other populations is warranted. En ligne : http://dx.doi.org/10.1016/j.rasd.2015.08.001 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=268 [article] Synergic effect of GSTP1 and blood manganese concentrations in Autism Spectrum Disorder [Texte imprimé et/ou numérique] / Mohammad H. RAHBAR, Auteur ; Maureen SAMMS-VAUGHAN, Auteur ; Jianzhong MA, Auteur ; Jan BRESSLER, Auteur ; Aisha S. DICKERSON, Auteur ; Manouchehr HESSABI, Auteur ; Katherine A. LOVELAND, Auteur ; Megan L. GROVE, Auteur ; Sydonnie SHAKESPEARE-PELLINGTON, Auteur ; Compton BEECHER, Auteur ; Wayne MCLAUGHLIN, Auteur ; Eric BOERWINKLE, Auteur . - p.73-82. Langues : Anglais (eng) in Research in Autism Spectrum Disorders > 18 (October 2015) . - p.73-82 Mots-clés : Manganese  Autism Spectrum Disorder (ASD)  Glutathione-S-transferase (GST) genes  Oxidative stress  Interactions  Jamaica Index. décimale : PER Périodiques Résumé : Abstract We used data from 100 age- and sex-matched case-control pairs (age 2–8 years) from Jamaica to investigate whether there is an interaction between glutathione-S-transferase (GST) genes and blood manganese concentrations (BMC) in relation to Autism Spectrum Disorder (ASD). Our findings, indicate that among children who had the Ile/Ile genotype for GST pi 1 (GSTP1), those with BMC ? 12 ?g/L had about 4 times higher odds of ASD than those with BMC < 12 ?g/L, (P = 0.03) under a co-dominant genetic model. After adjusting for potential confounders, among the subgroup of children with genotype Ile/Ile, those with BMC ? 12 ?g/L had about six times higher odds of ASD than those with BMC < 12 ?g/L, (P = 0.04). The results were similar when a recessive genetic model was used. These findings suggest a possible synergic effect of BMC and GSTP1 in ASD. Since our analysis included a variety of genetic models and was not adjusted for multiple testing, replication in other populations is warranted. En ligne : http://dx.doi.org/10.1016/j.rasd.2015.08.001 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=268

---

1 (1 - 5 / 5)