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Détail de l'auteur
Auteur Matthew C. KELLER |
Documents disponibles écrits par cet auteur (3)
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Commentary: Fundamental problems with candidate gene-by-environment interaction studies – reflections on Moore and Thoemmes (2016) / Richard BORDER in Journal of Child Psychology and Psychiatry, 58-3 (March 2017)
[article]
Titre : Commentary: Fundamental problems with candidate gene-by-environment interaction studies – reflections on Moore and Thoemmes (2016) Type de document : Texte imprimé et/ou numérique Auteurs : Richard BORDER, Auteur ; Matthew C. KELLER, Auteur Article en page(s) : p.328-330 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Moore and Thoemmes elaborate on one particular source of difficulty in the study of candidate gene-by-environment interactions (cG × E): how different biologically plausible configurations of gene-environment covariation can bias estimates of cG × E when not explicitly modeled. However, even if cG × E investigators were able to account for the sources of bias Moore and Thoemmes elaborate, it is unlikely that conventional approaches would yield reliable results. Published cG × E findings to date have generally employed inadequate analytic procedures, have relied on samples orders of magnitude too small to detect plausible effects, and have relied on a particular candidate gene approach that has been unfruitful and largely jettisoned in mainstream genetic analyses of complex traits. Analytic procedures for the study of gene-environment interplay must evolve to meet the challenges that the genetic architecture of complex traits presents, and investigators must collaborate on grander scales if we hope to begin to understand how specific genes and environments combine to affect behavior. En ligne : http://dx.doi.org/10.1111/jcpp.12669 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=304
in Journal of Child Psychology and Psychiatry > 58-3 (March 2017) . - p.328-330[article] Commentary: Fundamental problems with candidate gene-by-environment interaction studies – reflections on Moore and Thoemmes (2016) [Texte imprimé et/ou numérique] / Richard BORDER, Auteur ; Matthew C. KELLER, Auteur . - p.328-330.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 58-3 (March 2017) . - p.328-330
Index. décimale : PER Périodiques Résumé : Moore and Thoemmes elaborate on one particular source of difficulty in the study of candidate gene-by-environment interactions (cG × E): how different biologically plausible configurations of gene-environment covariation can bias estimates of cG × E when not explicitly modeled. However, even if cG × E investigators were able to account for the sources of bias Moore and Thoemmes elaborate, it is unlikely that conventional approaches would yield reliable results. Published cG × E findings to date have generally employed inadequate analytic procedures, have relied on samples orders of magnitude too small to detect plausible effects, and have relied on a particular candidate gene approach that has been unfruitful and largely jettisoned in mainstream genetic analyses of complex traits. Analytic procedures for the study of gene-environment interplay must evolve to meet the challenges that the genetic architecture of complex traits presents, and investigators must collaborate on grander scales if we hope to begin to understand how specific genes and environments combine to affect behavior. En ligne : http://dx.doi.org/10.1111/jcpp.12669 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=304 Disentangling the influences of parental genetics on offspring's cognition, education, and psychopathology via genetic and phenotypic pathways / Luiza K. AXELRUD in Journal of Child Psychology and Psychiatry, 64-3 (March 2023)
[article]
Titre : Disentangling the influences of parental genetics on offspring's cognition, education, and psychopathology via genetic and phenotypic pathways Type de document : Texte imprimé et/ou numérique Auteurs : Luiza K. AXELRUD, Auteur ; Mauricio S. HOFFMANN, Auteur ; Daniel E. VOSBERG, Auteur ; Marcos SANTORO, Auteur ; Pedro M. PAN, Auteur ; Ary GADELHA, Auteur ; Sintia I. BELANGERO, Auteur ; Euripedes C. MIGUEL, Auteur ; Jean SHIN, Auteur ; Anita THAPAR, Auteur ; Jordan W. SMOLLER, Auteur ; Zdenka PAUSOVA, Auteur ; Luis A. ROHDE, Auteur ; Matthew C. KELLER, Auteur ; Tomas PAUS, Auteur ; Giovanni A. SALUM, Auteur Article en page(s) : p.408-416 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Background Specific pathways of intergenerational transmission of behavioral traits remain unclear. Here, we aim to investigate how parental genetics influence offspring cognition, educational attainment, and psychopathology in youth. Methods Participants for the discovery sample were 2,189 offspring (aged 6-14 years), 1898 mothers and 1,017 fathers who underwent genotyping, psychiatric, and cognitive assessments. We calculated polygenic scores (PGS) for cognition, educational attainment, attention-deficit hyperactivity disorder (ADHD), and schizophrenia for the trios. Phenotypes studied included educational and cognitive measures, ADHD and psychotic symptoms. We used a stepwise approach and multiple mediation models to analyze the effect of parental PGS on offspring traits via offspring PGS and parental phenotype. Significant results were replicated in a sample of 1,029 adolescents, 363 mothers, and 307 fathers. Results Maternal and paternal PGS for cognition influenced offspring general intelligence and executive function via offspring PGS (genetic pathway) and parental education (phenotypic pathway). Similar results were found for parental PGS for educational attainment and offspring reading and writing skills. These pathways fully explained associations between parental PGS and offspring phenotypes, without residual direct association. Associations with maternal, but not paternal, PGS were replicated. No associations were found between parental PGS for psychopathology and offspring specific symptoms. Conclusions Our findings indicate that parental genetics influences offspring cognition and educational attainment by genetic and phenotypic pathways, suggesting the expression of parental phenotypes partially explain the association between parental genetic risk and offspring outcomes. Multiple mediations might represent an effective approach to disentangle distinct pathways for intergenerational transmission of behavioral traits. En ligne : https://doi.org/10.1111/jcpp.13708 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=493
in Journal of Child Psychology and Psychiatry > 64-3 (March 2023) . - p.408-416[article] Disentangling the influences of parental genetics on offspring's cognition, education, and psychopathology via genetic and phenotypic pathways [Texte imprimé et/ou numérique] / Luiza K. AXELRUD, Auteur ; Mauricio S. HOFFMANN, Auteur ; Daniel E. VOSBERG, Auteur ; Marcos SANTORO, Auteur ; Pedro M. PAN, Auteur ; Ary GADELHA, Auteur ; Sintia I. BELANGERO, Auteur ; Euripedes C. MIGUEL, Auteur ; Jean SHIN, Auteur ; Anita THAPAR, Auteur ; Jordan W. SMOLLER, Auteur ; Zdenka PAUSOVA, Auteur ; Luis A. ROHDE, Auteur ; Matthew C. KELLER, Auteur ; Tomas PAUS, Auteur ; Giovanni A. SALUM, Auteur . - p.408-416.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 64-3 (March 2023) . - p.408-416
Index. décimale : PER Périodiques Résumé : Background Specific pathways of intergenerational transmission of behavioral traits remain unclear. Here, we aim to investigate how parental genetics influence offspring cognition, educational attainment, and psychopathology in youth. Methods Participants for the discovery sample were 2,189 offspring (aged 6-14 years), 1898 mothers and 1,017 fathers who underwent genotyping, psychiatric, and cognitive assessments. We calculated polygenic scores (PGS) for cognition, educational attainment, attention-deficit hyperactivity disorder (ADHD), and schizophrenia for the trios. Phenotypes studied included educational and cognitive measures, ADHD and psychotic symptoms. We used a stepwise approach and multiple mediation models to analyze the effect of parental PGS on offspring traits via offspring PGS and parental phenotype. Significant results were replicated in a sample of 1,029 adolescents, 363 mothers, and 307 fathers. Results Maternal and paternal PGS for cognition influenced offspring general intelligence and executive function via offspring PGS (genetic pathway) and parental education (phenotypic pathway). Similar results were found for parental PGS for educational attainment and offspring reading and writing skills. These pathways fully explained associations between parental PGS and offspring phenotypes, without residual direct association. Associations with maternal, but not paternal, PGS were replicated. No associations were found between parental PGS for psychopathology and offspring specific symptoms. Conclusions Our findings indicate that parental genetics influences offspring cognition and educational attainment by genetic and phenotypic pathways, suggesting the expression of parental phenotypes partially explain the association between parental genetic risk and offspring outcomes. Multiple mediations might represent an effective approach to disentangle distinct pathways for intergenerational transmission of behavioral traits. En ligne : https://doi.org/10.1111/jcpp.13708 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=493 The estimation of environmental and genetic parental influences / Jared V. BALBONA in Development and Psychopathology, 34-5 (December 2022)
[article]
Titre : The estimation of environmental and genetic parental influences Type de document : Texte imprimé et/ou numérique Auteurs : Jared V. BALBONA, Auteur ; Yongkang KIM, Auteur ; Matthew C. KELLER, Auteur Article en page(s) : p.1876-1886 Langues : Anglais (eng) Mots-clés : genetic nurture heritability nature and nurture parental effects vertical transmission Index. décimale : PER Périodiques Résumé : Parents share half of their genes with their children, but they also share background social factors and actively help shape their child’s environment “ making it difficult to disentangle genetic and environmental causes of parent “offspring similarity. While adoption and extended twin family designs have been extremely useful for distinguishing genetic and nongenetic parental influences, these designs entail stringent assumptions about phenotypic similarity between relatives and require samples that are difficult to collect and therefore are typically small and not publicly shared. Here, we describe these traditional designs, as well as modern approaches that use large, publicly available genome-wide data sets to estimate parental effects. We focus in particular on an approach we recently developed, structural equation modeling (SEM)-polygenic score (PGS), that instantiates the logic of modern PGS-based methods within the flexible SEM framework used in traditional designs. Genetically informative designs such as SEM-PGS rely on different and, in some cases, less rigid assumptions than traditional approaches; thus, they allow researchers to capitalize on new data sources and answer questions that could not previously be investigated. We believe that SEM-PGS and similar approaches can lead to improved insight into how nature and nurture combine to create the incredible diversity underlying human behavior. En ligne : http://dx.doi.org/10.1017/S0954579422000761 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=492
in Development and Psychopathology > 34-5 (December 2022) . - p.1876-1886[article] The estimation of environmental and genetic parental influences [Texte imprimé et/ou numérique] / Jared V. BALBONA, Auteur ; Yongkang KIM, Auteur ; Matthew C. KELLER, Auteur . - p.1876-1886.
Langues : Anglais (eng)
in Development and Psychopathology > 34-5 (December 2022) . - p.1876-1886
Mots-clés : genetic nurture heritability nature and nurture parental effects vertical transmission Index. décimale : PER Périodiques Résumé : Parents share half of their genes with their children, but they also share background social factors and actively help shape their child’s environment “ making it difficult to disentangle genetic and environmental causes of parent “offspring similarity. While adoption and extended twin family designs have been extremely useful for distinguishing genetic and nongenetic parental influences, these designs entail stringent assumptions about phenotypic similarity between relatives and require samples that are difficult to collect and therefore are typically small and not publicly shared. Here, we describe these traditional designs, as well as modern approaches that use large, publicly available genome-wide data sets to estimate parental effects. We focus in particular on an approach we recently developed, structural equation modeling (SEM)-polygenic score (PGS), that instantiates the logic of modern PGS-based methods within the flexible SEM framework used in traditional designs. Genetically informative designs such as SEM-PGS rely on different and, in some cases, less rigid assumptions than traditional approaches; thus, they allow researchers to capitalize on new data sources and answer questions that could not previously be investigated. We believe that SEM-PGS and similar approaches can lead to improved insight into how nature and nurture combine to create the incredible diversity underlying human behavior. En ligne : http://dx.doi.org/10.1017/S0954579422000761 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=492