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Auteur Maciej TRZASKOWSKI |
Documents disponibles écrits par cet auteur (2)
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Analysis of common genetic variation and rare CNVs in the Australian Autism Biobank / Chloe X. YAP in Molecular Autism, 12 (2021)
[article]
Titre : Analysis of common genetic variation and rare CNVs in the Australian Autism Biobank Type de document : Texte imprimé et/ou numérique Auteurs : Chloe X. YAP, Auteur ; Gail A. ALVARES, Auteur ; Anjali K. HENDERS, Auteur ; Tian LIN, Auteur ; Leanne WALLACE, Auteur ; Alaina FARRELLY, Auteur ; Tiana MCLAREN, Auteur ; Jolene BERRY, Auteur ; Anna A. E. VINKHUYZEN, Auteur ; Maciej TRZASKOWSKI, Auteur ; Jian ZENG, Auteur ; Yuanhao YANG, Auteur ; Dominique CLEARY, Auteur ; Rachel GROVE, Auteur ; Claire HAFEKOST, Auteur ; Alexis HARUN, Auteur ; Helen HOLDSWORTH, Auteur ; Rachel JELLETT, Auteur ; Feroza KHAN, Auteur ; Lauren LAWSON, Auteur ; Jodie LESLIE, Auteur ; Mira LEVIS FRENK, Auteur ; Anne MASI, Auteur ; Nisha E. MATHEW, Auteur ; Melanie MUNIANDY, Auteur ; Michaela NOTHARD, Auteur ; Peter M. VISSCHER, Auteur ; Paul A. DAWSON, Auteur ; Cheryl DISSANAYAKE, Auteur ; Valsamma EAPEN, Auteur ; Helen S. HEUSSLER, Auteur ; Andrew J. O. WHITEHOUSE, Auteur ; Naomi R. WRAY, Auteur ; Jacob GRATTEN, Auteur Article en page(s) : 12p. Langues : Anglais (eng) Mots-clés : Australian autism biobank Autism spectrum disorder Copy number variation Genetics Polygenic score Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism spectrum disorder (ASD) is a complex neurodevelopmental condition whose biological basis is yet to be elucidated. The Australian Autism Biobank (AAB) is an initiative of the Cooperative Research Centre for Living with Autism (Autism CRC) to establish an Australian resource of biospecimens, phenotypes and genomic data for research on autism. METHODS: Genome-wide single-nucleotide polymorphism genotypes were available for 2,477 individuals (after quality control) from 546 families (436 complete), including 886 participants aged 2 to 17 years with diagnosed (n?=?871) or suspected (n?=?15) ASD, 218 siblings without ASD, 1,256 parents, and 117 unrelated children without an ASD diagnosis. The genetic data were used to confirm familial relationships and assign ancestry, which was majority European (n?=?1,964 European individuals). We generated polygenic scores (PGS) for ASD, IQ, chronotype and height in the subset of Europeans, and in 3,490 unrelated ancestry-matched participants from the UK Biobank. We tested for group differences for each PGS, and performed prediction analyses for related phenotypes in the AAB. We called copy-number variants (CNVs) in all participants, and intersected these with high-confidence ASD- and intellectual disability (ID)-associated CNVs and genes from the public domain. RESULTS: The ASD (p?=?6.1e-13), sibling (p?=?4.9e-3) and unrelated (p?=?3.0e-3) groups had significantly higher ASD PGS than UK Biobank controls, whereas this was not the case for height-a control trait. The IQ PGS was a significant predictor of measured IQ in undiagnosed children (r?=?0.24, p?=?2.1e-3) and parents (r?=?0.17, p?=?8.0e-7; 4.0% of variance), but not the ASD group. Chronotype PGS predicted sleep disturbances within the ASD group (r?=?0.13, p?=?1.9e-3; 1.3% of variance). In the CNV analysis, we identified 13 individuals with CNVs overlapping ASD/ID-associated CNVs, and 12 with CNVs overlapping ASD/ID/developmental delay-associated genes identified on the basis of de novo variants. LIMITATIONS: This dataset is modest in size, and the publicly-available genome-wide-association-study (GWAS) summary statistics used to calculate PGS for ASD and other traits are relatively underpowered. CONCLUSIONS: We report on common genetic variation and rare CNVs within the AAB. Prediction analyses using currently available GWAS summary statistics are largely consistent with expected relationships based on published studies. As the size of publicly-available GWAS summary statistics grows, the phenotypic depth of the AAB dataset will provide many opportunities for analyses of autism profiles and co-occurring conditions, including when integrated with other omics datasets generated from AAB biospecimens (blood, urine, stool, hair). En ligne : http://dx.doi.org/10.1186/s13229-020-00407-5 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=442
in Molecular Autism > 12 (2021) . - 12p.[article] Analysis of common genetic variation and rare CNVs in the Australian Autism Biobank [Texte imprimé et/ou numérique] / Chloe X. YAP, Auteur ; Gail A. ALVARES, Auteur ; Anjali K. HENDERS, Auteur ; Tian LIN, Auteur ; Leanne WALLACE, Auteur ; Alaina FARRELLY, Auteur ; Tiana MCLAREN, Auteur ; Jolene BERRY, Auteur ; Anna A. E. VINKHUYZEN, Auteur ; Maciej TRZASKOWSKI, Auteur ; Jian ZENG, Auteur ; Yuanhao YANG, Auteur ; Dominique CLEARY, Auteur ; Rachel GROVE, Auteur ; Claire HAFEKOST, Auteur ; Alexis HARUN, Auteur ; Helen HOLDSWORTH, Auteur ; Rachel JELLETT, Auteur ; Feroza KHAN, Auteur ; Lauren LAWSON, Auteur ; Jodie LESLIE, Auteur ; Mira LEVIS FRENK, Auteur ; Anne MASI, Auteur ; Nisha E. MATHEW, Auteur ; Melanie MUNIANDY, Auteur ; Michaela NOTHARD, Auteur ; Peter M. VISSCHER, Auteur ; Paul A. DAWSON, Auteur ; Cheryl DISSANAYAKE, Auteur ; Valsamma EAPEN, Auteur ; Helen S. HEUSSLER, Auteur ; Andrew J. O. WHITEHOUSE, Auteur ; Naomi R. WRAY, Auteur ; Jacob GRATTEN, Auteur . - 12p.
Langues : Anglais (eng)
in Molecular Autism > 12 (2021) . - 12p.
Mots-clés : Australian autism biobank Autism spectrum disorder Copy number variation Genetics Polygenic score Index. décimale : PER Périodiques Résumé : BACKGROUND: Autism spectrum disorder (ASD) is a complex neurodevelopmental condition whose biological basis is yet to be elucidated. The Australian Autism Biobank (AAB) is an initiative of the Cooperative Research Centre for Living with Autism (Autism CRC) to establish an Australian resource of biospecimens, phenotypes and genomic data for research on autism. METHODS: Genome-wide single-nucleotide polymorphism genotypes were available for 2,477 individuals (after quality control) from 546 families (436 complete), including 886 participants aged 2 to 17 years with diagnosed (n?=?871) or suspected (n?=?15) ASD, 218 siblings without ASD, 1,256 parents, and 117 unrelated children without an ASD diagnosis. The genetic data were used to confirm familial relationships and assign ancestry, which was majority European (n?=?1,964 European individuals). We generated polygenic scores (PGS) for ASD, IQ, chronotype and height in the subset of Europeans, and in 3,490 unrelated ancestry-matched participants from the UK Biobank. We tested for group differences for each PGS, and performed prediction analyses for related phenotypes in the AAB. We called copy-number variants (CNVs) in all participants, and intersected these with high-confidence ASD- and intellectual disability (ID)-associated CNVs and genes from the public domain. RESULTS: The ASD (p?=?6.1e-13), sibling (p?=?4.9e-3) and unrelated (p?=?3.0e-3) groups had significantly higher ASD PGS than UK Biobank controls, whereas this was not the case for height-a control trait. The IQ PGS was a significant predictor of measured IQ in undiagnosed children (r?=?0.24, p?=?2.1e-3) and parents (r?=?0.17, p?=?8.0e-7; 4.0% of variance), but not the ASD group. Chronotype PGS predicted sleep disturbances within the ASD group (r?=?0.13, p?=?1.9e-3; 1.3% of variance). In the CNV analysis, we identified 13 individuals with CNVs overlapping ASD/ID-associated CNVs, and 12 with CNVs overlapping ASD/ID/developmental delay-associated genes identified on the basis of de novo variants. LIMITATIONS: This dataset is modest in size, and the publicly-available genome-wide-association-study (GWAS) summary statistics used to calculate PGS for ASD and other traits are relatively underpowered. CONCLUSIONS: We report on common genetic variation and rare CNVs within the AAB. Prediction analyses using currently available GWAS summary statistics are largely consistent with expected relationships based on published studies. As the size of publicly-available GWAS summary statistics grows, the phenotypic depth of the AAB dataset will provide many opportunities for analyses of autism profiles and co-occurring conditions, including when integrated with other omics datasets generated from AAB biospecimens (blood, urine, stool, hair). En ligne : http://dx.doi.org/10.1186/s13229-020-00407-5 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=442 The role of gene–environment correlations and interactions in middle childhood depressive symptoms / Paul O. WILKINSON in Development and Psychopathology, 25-1 (February 2013)
[article]
Titre : The role of gene–environment correlations and interactions in middle childhood depressive symptoms Type de document : Texte imprimé et/ou numérique Auteurs : Paul O. WILKINSON, Auteur ; Maciej TRZASKOWSKI, Auteur ; Claire Margaret Alison HAWORTH, Auteur ; Thalia C. ELEY, Auteur Article en page(s) : p.93-104 Index. décimale : PER Périodiques Résumé : Depression is known to be associated with a wide array of environmental factors. Such associations are due at least in part to genetic influences on both. This issue has been little explored with preadolescent children. Measures of family chaos and parenting style at age 9 and child depressive symptoms at age 12 were completed by 3,258 twin pairs from the Twins Early Development Study and their parents. Quantitative genetic modeling was used to explore common and unique genetic and environmental influences on both family environment and later depressive symptoms. Depressive symptoms at age 12 were significantly heritable. Moderate genetic effects influenced parenting style and family chaos at the age of 9, indicating gene–environment correlation. There were significant genetic correlations between family environment and depressive symptoms. There was some evidence of a Gene × Environment interaction, with stronger genetic effects on depressive symptoms for children with more suboptimal family environment. There was an Environment × Environment interaction, with effects of nonshared environment on depressive symptoms stronger for twins with more adverse parenting experiences. There is some evidence for gene–environment correlation between aspects of family environment in middle childhood and subsequent depressive symptoms. This suggests that one of the mechanisms by which genes lead to depressive symptoms may be by themselves influencing depressogenic environments. En ligne : http://dx.doi.org/10.1017/S0954579412000922 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=190
in Development and Psychopathology > 25-1 (February 2013) . - p.93-104[article] The role of gene–environment correlations and interactions in middle childhood depressive symptoms [Texte imprimé et/ou numérique] / Paul O. WILKINSON, Auteur ; Maciej TRZASKOWSKI, Auteur ; Claire Margaret Alison HAWORTH, Auteur ; Thalia C. ELEY, Auteur . - p.93-104.
in Development and Psychopathology > 25-1 (February 2013) . - p.93-104
Index. décimale : PER Périodiques Résumé : Depression is known to be associated with a wide array of environmental factors. Such associations are due at least in part to genetic influences on both. This issue has been little explored with preadolescent children. Measures of family chaos and parenting style at age 9 and child depressive symptoms at age 12 were completed by 3,258 twin pairs from the Twins Early Development Study and their parents. Quantitative genetic modeling was used to explore common and unique genetic and environmental influences on both family environment and later depressive symptoms. Depressive symptoms at age 12 were significantly heritable. Moderate genetic effects influenced parenting style and family chaos at the age of 9, indicating gene–environment correlation. There were significant genetic correlations between family environment and depressive symptoms. There was some evidence of a Gene × Environment interaction, with stronger genetic effects on depressive symptoms for children with more suboptimal family environment. There was an Environment × Environment interaction, with effects of nonshared environment on depressive symptoms stronger for twins with more adverse parenting experiences. There is some evidence for gene–environment correlation between aspects of family environment in middle childhood and subsequent depressive symptoms. This suggests that one of the mechanisms by which genes lead to depressive symptoms may be by themselves influencing depressogenic environments. En ligne : http://dx.doi.org/10.1017/S0954579412000922 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=190