11 recherche sur le mot-clé 'Multifactorial Inheritance'

Association of polygenic scores for autism with volumetric MRI phenotypes in cerebellum and brainstem in adults / Salahuddin MOHAMMAD in Molecular Autism, 15 (2024)  

Public ISBD [article]  inMolecular Autism > 15 (2024) . - 34p. Titre : Association of polygenic scores for autism with volumetric MRI phenotypes in cerebellum and brainstem in adults Type de document : texte imprimé Auteurs : Salahuddin MOHAMMAD, Auteur ; Mélissa GENTREAU, Auteur ; Manon DUBOL, Auteur ; Gull RUKH, Auteur ; Jessica MWINYI, Auteur ; Helgi B. SCHIÖTH, Auteur Article en page(s) : 34p. Langues : Anglais (eng) Mots-clés : Humans  Cerebellum/diagnostic imaging/pathology  Brain Stem/diagnostic imaging/pathology  Magnetic Resonance Imaging  Male  Female  Phenotype  Adult  Multifactorial Inheritance  Genetic Predisposition to Disease  Organ Size  Middle Aged  Autistic Disorder/genetics/diagnostic imaging  Genome-Wide Association Study  Autism Spectrum Disorder/genetics/diagnostic imaging  Gray Matter/diagnostic imaging/pathology  Case-Control Studies  Autism  Brain MRI  Brainstem  Cerebellum  Polygenic risk score Index. décimale : PER Périodiques Résumé : Previous research on autism spectrum disorders (ASD) have showed important volumetric alterations in the cerebellum and brainstem. Most of these studies are however limited to case-control studies with small clinical samples and including mainly children or adolescents. Herein, we aimed to explore the association between the cumulative genetic load (polygenic risk score, PRS) for ASD and volumetric alterations in the cerebellum and brainstem, as well as global brain tissue volumes of the brain among adults at the population level. We utilized the latest genome-wide association study of ASD by the Psychiatric Genetics Consortium (18,381 cases, 27,969 controls) and constructed the ASD PRS in an independent cohort, the UK Biobank. Regression analyses controlled for multiple comparisons with the false-discovery rate (FDR) at 5% were performed to investigate the association between ASD PRS and forty-four brain magnetic resonance imaging (MRI) phenotypes among ~ 31,000 participants. Primary analyses included sixteen MRI phenotypes: total volumes of the brain, cerebrospinal fluid (CSF), grey matter (GM), white matter (WM), GM of whole cerebellum, brainstem, and ten regions of the cerebellum (I_IV, V, VI, VIIb, VIIIa, VIIIb, IX, X, CrusI and CrusII). Secondary analyses included twenty-eight MRI phenotypes: the sub-regional volumes of cerebellum including the GM of the vermis and both left and right lobules of each cerebellar region. ASD PRS were significantly associated with the volumes of seven brain areas, whereby higher PRS were associated to reduced volumes of the whole brain, WM, brainstem, and cerebellar regions I-IV, IX, and X, and an increased volume of the CSF. Three sub-regional volumes including the left cerebellar lobule I-IV, cerebellar vermes VIIIb, and X were significantly and negatively associated with ASD PRS. The study highlights a substantial connection between susceptibility to ASD, its underlying genetic etiology, and neuroanatomical alterations of the adult brain. En ligne : https://dx.doi.org/10.1186/s13229-024-00611-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=538 [article] Association of polygenic scores for autism with volumetric MRI phenotypes in cerebellum and brainstem in adults [texte imprimé] / Salahuddin MOHAMMAD, Auteur ; Mélissa GENTREAU, Auteur ; Manon DUBOL, Auteur ; Gull RUKH, Auteur ; Jessica MWINYI, Auteur ; Helgi B. SCHIÖTH, Auteur . - 34p. Langues : Anglais (eng) in Molecular Autism > 15 (2024) . - 34p. Mots-clés : Humans  Cerebellum/diagnostic imaging/pathology  Brain Stem/diagnostic imaging/pathology  Magnetic Resonance Imaging  Male  Female  Phenotype  Adult  Multifactorial Inheritance  Genetic Predisposition to Disease  Organ Size  Middle Aged  Autistic Disorder/genetics/diagnostic imaging  Genome-Wide Association Study  Autism Spectrum Disorder/genetics/diagnostic imaging  Gray Matter/diagnostic imaging/pathology  Case-Control Studies  Autism  Brain MRI  Brainstem  Cerebellum  Polygenic risk score Index. décimale : PER Périodiques Résumé : Previous research on autism spectrum disorders (ASD) have showed important volumetric alterations in the cerebellum and brainstem. Most of these studies are however limited to case-control studies with small clinical samples and including mainly children or adolescents. Herein, we aimed to explore the association between the cumulative genetic load (polygenic risk score, PRS) for ASD and volumetric alterations in the cerebellum and brainstem, as well as global brain tissue volumes of the brain among adults at the population level. We utilized the latest genome-wide association study of ASD by the Psychiatric Genetics Consortium (18,381 cases, 27,969 controls) and constructed the ASD PRS in an independent cohort, the UK Biobank. Regression analyses controlled for multiple comparisons with the false-discovery rate (FDR) at 5% were performed to investigate the association between ASD PRS and forty-four brain magnetic resonance imaging (MRI) phenotypes among ~ 31,000 participants. Primary analyses included sixteen MRI phenotypes: total volumes of the brain, cerebrospinal fluid (CSF), grey matter (GM), white matter (WM), GM of whole cerebellum, brainstem, and ten regions of the cerebellum (I_IV, V, VI, VIIb, VIIIa, VIIIb, IX, X, CrusI and CrusII). Secondary analyses included twenty-eight MRI phenotypes: the sub-regional volumes of cerebellum including the GM of the vermis and both left and right lobules of each cerebellar region. ASD PRS were significantly associated with the volumes of seven brain areas, whereby higher PRS were associated to reduced volumes of the whole brain, WM, brainstem, and cerebellar regions I-IV, IX, and X, and an increased volume of the CSF. Three sub-regional volumes including the left cerebellar lobule I-IV, cerebellar vermes VIIIb, and X were significantly and negatively associated with ASD PRS. The study highlights a substantial connection between susceptibility to ASD, its underlying genetic etiology, and neuroanatomical alterations of the adult brain. En ligne : https://dx.doi.org/10.1186/s13229-024-00611-7 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=538

Commonly used genomic arrays may lose information due to imperfect coverage of discovered variants for autism spectrum disorder / Michael YAO in Journal of Neurodevelopmental Disorders, 16 (2024)  

Public ISBD [article]  inJournal of Neurodevelopmental Disorders > 16 (2024) Titre : Commonly used genomic arrays may lose information due to imperfect coverage of discovered variants for autism spectrum disorder Type de document : texte imprimé Auteurs : Michael YAO, Auteur ; Jason DANIELS, Auteur ; Luke GROSVENOR, Auteur ; Valerie MORRILL, Auteur ; Jason I. FEINBERG, Auteur ; Kelly M. BAKULSKI, Auteur ; Joseph PIVEN, Auteur ; Heather C. HAZLETT, Auteur ; Mark D. SHEN, Auteur ; Craig NEWSCHAFFER, Auteur ; Kristen LYALL, Auteur ; Rebecca J. SCHMIDT, Auteur ; Irva HERTZ-PICCIOTTO, Auteur ; Lisa A. CROEN, Auteur ; M. Daniele FALLIN, Auteur ; Christine LADD-ACOSTA, Auteur ; Heather VOLK, Auteur ; Kelly BENKE, Auteur Langues : Anglais (eng) Mots-clés : Humans  Autism Spectrum Disorder/genetics  Genome-Wide Association Study  Multifactorial Inheritance  Genetic Predisposition to Disease  Male  Female  Genotype  Polymorphism, Single Nucleotide  Autism spectrum disorder (ASD)  Information Loss  Polygenic scores (PGS) Index. décimale : PER Périodiques Résumé : BACKGROUND: Common genetic variation has been shown to account for a large proportion of ASD heritability. Polygenic scores generated for autism spectrum disorder (ASD-PGS) using the most recent discovery data, however, explain less variance than expected, despite reporting significant associations with ASD and other ASD-related traits. Here, we investigate the extent to which information loss on the target study genome-wide microarray weakens the predictive power of the ASD-PGS. METHODS: We studied genotype data from three cohorts of individuals with high familial liability for ASD: The Early Autism Risk Longitudinal Investigation (EARLI), Markers of Autism Risk in Babies-Learning Early Signs (MARBLES), and the Infant Brain Imaging Study (IBIS), and one population-based sample, Study to Explore Early Development Phase I (SEED I). Individuals were genotyped on different microarrays ranging from 1 to 5 million sites. Coverage of the top 88 genome-wide suggestive variants implicated in the discovery was evaluated in all four studies before quality control (QC), after QC, and after imputation. We then created a novel method to assess coverage on the resulting ASD-PGS by correlating a PGS informed by a comprehensive list of variants to a PGS informed with only the available variants. RESULTS: Prior to imputations, None of the four cohorts directly or indirectly covered all 88 variants among the measured genotype data. After imputation, the two cohorts genotyped on 5-million arrays reached full coverage. Analysis of our novel metric showed generally high genome-wide coverage across all four studies, but a greater number of SNPs informing the ASD-PGS did not result in improved coverage according to our metric. LIMITATIONS: The studies we analyzed contained modest sample sizes. Our analyses included microarrays with more than 1-million sites, so smaller arrays such as Global Diversity and the PsychArray were not included. Our PGS metric for ASD is only generalizable to samples of European ancestries, though the coverage metric can be computed for traits that have sufficiently large-sized discovery findings in other ancestries. CONCLUSIONS: We show that commonly used genotyping microarrays have incomplete coverage for common ASD variants, and imputation cannot always recover lost information. Our novel metric provides an intuitive approach to reporting information loss in PGS and an alternative to reporting the total number of SNPs included in the PGS. While applied only to ASD here, this metric can easily be used with other traits. En ligne : https://dx.doi.org/10.1186/s11689-024-09571-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=576 [article] Commonly used genomic arrays may lose information due to imperfect coverage of discovered variants for autism spectrum disorder [texte imprimé] / Michael YAO, Auteur ; Jason DANIELS, Auteur ; Luke GROSVENOR, Auteur ; Valerie MORRILL, Auteur ; Jason I. FEINBERG, Auteur ; Kelly M. BAKULSKI, Auteur ; Joseph PIVEN, Auteur ; Heather C. HAZLETT, Auteur ; Mark D. SHEN, Auteur ; Craig NEWSCHAFFER, Auteur ; Kristen LYALL, Auteur ; Rebecca J. SCHMIDT, Auteur ; Irva HERTZ-PICCIOTTO, Auteur ; Lisa A. CROEN, Auteur ; M. Daniele FALLIN, Auteur ; Christine LADD-ACOSTA, Auteur ; Heather VOLK, Auteur ; Kelly BENKE, Auteur. Langues : Anglais (eng) in Journal of Neurodevelopmental Disorders > 16 (2024) Mots-clés : Humans  Autism Spectrum Disorder/genetics  Genome-Wide Association Study  Multifactorial Inheritance  Genetic Predisposition to Disease  Male  Female  Genotype  Polymorphism, Single Nucleotide  Autism spectrum disorder (ASD)  Information Loss  Polygenic scores (PGS) Index. décimale : PER Périodiques Résumé : BACKGROUND: Common genetic variation has been shown to account for a large proportion of ASD heritability. Polygenic scores generated for autism spectrum disorder (ASD-PGS) using the most recent discovery data, however, explain less variance than expected, despite reporting significant associations with ASD and other ASD-related traits. Here, we investigate the extent to which information loss on the target study genome-wide microarray weakens the predictive power of the ASD-PGS. METHODS: We studied genotype data from three cohorts of individuals with high familial liability for ASD: The Early Autism Risk Longitudinal Investigation (EARLI), Markers of Autism Risk in Babies-Learning Early Signs (MARBLES), and the Infant Brain Imaging Study (IBIS), and one population-based sample, Study to Explore Early Development Phase I (SEED I). Individuals were genotyped on different microarrays ranging from 1 to 5 million sites. Coverage of the top 88 genome-wide suggestive variants implicated in the discovery was evaluated in all four studies before quality control (QC), after QC, and after imputation. We then created a novel method to assess coverage on the resulting ASD-PGS by correlating a PGS informed by a comprehensive list of variants to a PGS informed with only the available variants. RESULTS: Prior to imputations, None of the four cohorts directly or indirectly covered all 88 variants among the measured genotype data. After imputation, the two cohorts genotyped on 5-million arrays reached full coverage. Analysis of our novel metric showed generally high genome-wide coverage across all four studies, but a greater number of SNPs informing the ASD-PGS did not result in improved coverage according to our metric. LIMITATIONS: The studies we analyzed contained modest sample sizes. Our analyses included microarrays with more than 1-million sites, so smaller arrays such as Global Diversity and the PsychArray were not included. Our PGS metric for ASD is only generalizable to samples of European ancestries, though the coverage metric can be computed for traits that have sufficiently large-sized discovery findings in other ancestries. CONCLUSIONS: We show that commonly used genotyping microarrays have incomplete coverage for common ASD variants, and imputation cannot always recover lost information. Our novel metric provides an intuitive approach to reporting information loss in PGS and an alternative to reporting the total number of SNPs included in the PGS. While applied only to ASD here, this metric can easily be used with other traits. En ligne : https://dx.doi.org/10.1186/s11689-024-09571-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=576

Gene-environment interplay in externalizing behavior from childhood through adulthood / Tina KRETSCHMER in Journal of Child Psychology and Psychiatry, 63-10 (October 2022)  

Public ISBD [article]  inJournal of Child Psychology and Psychiatry > 63-10 (October 2022) . - p.1206-1213 Titre : Gene-environment interplay in externalizing behavior from childhood through adulthood Type de document : texte imprimé Auteurs : Tina KRETSCHMER, Auteur ; Charlotte VRIJEN, Auteur ; Ilja M. NOLTE, Auteur ; Jasmin WERTZ, Auteur ; Catharina A. HARTMAN, Auteur Année de publication : 2022 Article en page(s) : p.1206-1213 Langues : Anglais (eng) Mots-clés : Adolescent  Adult  Antisocial Personality Disorder/genetics  Child  Child Behavior  Genetic Predisposition to Disease  Humans  Longitudinal Studies  Multifactorial Inheritance  Prospective Studies  Externalising disorder  family functioning  gene-environment interaction (GxE)  molecular genetics Index. décimale : PER Périodiques Résumé : BACKGROUND: Genetic and environmental influences on externalizing problems are often studied separately. Here, we extended prior work by investigating the implications of gene-environment interplay in childhood for early adult externalizing behavior. Genetic nurture would be indicated if parents' genetic predisposition for externalizing behavior operates through the family environment in predicting offspring early adult externalizing behavior. Evocative gene-environment correlation would be indicated if offspring genetic predisposition for externalizing behavior operates through child externalizing behavior in affecting the family environment and later early adult externalizing behavior. METHOD: Longitudinal data from seven waves of the TRacking Adolescents' Individual Lives Survey, a prospective cohort study of Dutch adolescents followed from age 11 to age 29 (n at baseline=2,734) were used. Child externalizing behavior was assessed using self and parent reports. Family dysfunction was assessed by parents. Early adult externalizing behavior was assessed using self-reports. Genome-wide polygenic scores for externalizing problems were constructed for mothers, fathers, and offspring. RESULTS: Offspring polygenic score and child behavior each predicted early adult externalizing problems, as did family dysfunction to a small extent. Parents' polygenic scores were not associated with offspring's early adult externalizing behavior. Indirect effect tests indicated that offspring polygenic score was associated with greater family dysfunction via child externalizing behavior (evocative gene-environment correlation) but the effect was just significant and the effect size was very small. Parents' polygenic scores did not predict family dysfunction, thus the data do not provide support for genetic nurture. CONCLUSIONS: A very small evocative gene-environment correlation was detected but effect sizes were much more pronounced for stability in externalizing behavior from childhood through early adulthood, which highlights the necessity to intervene early to prevent later problems. En ligne : http://dx.doi.org/10.1111/jcpp.13652 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=486 [article] Gene-environment interplay in externalizing behavior from childhood through adulthood [texte imprimé] / Tina KRETSCHMER, Auteur ; Charlotte VRIJEN, Auteur ; Ilja M. NOLTE, Auteur ; Jasmin WERTZ, Auteur ; Catharina A. HARTMAN, Auteur . - 2022 . - p.1206-1213. Langues : Anglais (eng) in Journal of Child Psychology and Psychiatry > 63-10 (October 2022) . - p.1206-1213 Mots-clés : Adolescent  Adult  Antisocial Personality Disorder/genetics  Child  Child Behavior  Genetic Predisposition to Disease  Humans  Longitudinal Studies  Multifactorial Inheritance  Prospective Studies  Externalising disorder  family functioning  gene-environment interaction (GxE)  molecular genetics Index. décimale : PER Périodiques Résumé : BACKGROUND: Genetic and environmental influences on externalizing problems are often studied separately. Here, we extended prior work by investigating the implications of gene-environment interplay in childhood for early adult externalizing behavior. Genetic nurture would be indicated if parents' genetic predisposition for externalizing behavior operates through the family environment in predicting offspring early adult externalizing behavior. Evocative gene-environment correlation would be indicated if offspring genetic predisposition for externalizing behavior operates through child externalizing behavior in affecting the family environment and later early adult externalizing behavior. METHOD: Longitudinal data from seven waves of the TRacking Adolescents' Individual Lives Survey, a prospective cohort study of Dutch adolescents followed from age 11 to age 29 (n at baseline=2,734) were used. Child externalizing behavior was assessed using self and parent reports. Family dysfunction was assessed by parents. Early adult externalizing behavior was assessed using self-reports. Genome-wide polygenic scores for externalizing problems were constructed for mothers, fathers, and offspring. RESULTS: Offspring polygenic score and child behavior each predicted early adult externalizing problems, as did family dysfunction to a small extent. Parents' polygenic scores were not associated with offspring's early adult externalizing behavior. Indirect effect tests indicated that offspring polygenic score was associated with greater family dysfunction via child externalizing behavior (evocative gene-environment correlation) but the effect was just significant and the effect size was very small. Parents' polygenic scores did not predict family dysfunction, thus the data do not provide support for genetic nurture. CONCLUSIONS: A very small evocative gene-environment correlation was detected but effect sizes were much more pronounced for stability in externalizing behavior from childhood through early adulthood, which highlights the necessity to intervene early to prevent later problems. En ligne : http://dx.doi.org/10.1111/jcpp.13652 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=486

Modeling the quantitative nature of neurodevelopmental disorders using Collaborative Cross mice / Remco T. MOLENHUIS in Molecular Autism, 9 (2018)  

Public ISBD [article]  inMolecular Autism > 9 (2018) . - 63 p. Titre : Modeling the quantitative nature of neurodevelopmental disorders using Collaborative Cross mice Type de document : texte imprimé Auteurs : Remco T. MOLENHUIS, Auteur ; Hilgo BRUINING, Auteur ; Myrna J.V. BRANDT, Auteur ; Petra E. VAN SOLDT, Auteur ; Hanifa J. ABU-TOAMIH ATAMNI, Auteur ; J. Peter H. BURBACH, Auteur ; Fuad A. IRAQI, Auteur ; Richard F. MOTT, Auteur ; Martien J.H. KAS, Auteur Article en page(s) : 63 p. Langues : Anglais (eng) Mots-clés : Animals  Autism Spectrum Disorder/*genetics  Genetics, Behavioral/*methods/standards  Genome-Wide Association Study/*methods/standards  Male  Mice  Mice, Inbred C57BL  Multifactorial Inheritance  Quantitative Trait Loci  Reference Standards  *Animal models  *Autism  *Behavioral neuroscience  *Genetic reference population  *Histamine 3 receptor  *Neurodevelopmental disorders  *Quantitative genetics  *Repetitive behavior  Care and Use Committee of Tel Aviv University.Not applicable.The authors declare  that they have no competing interests.Springer Nature remains neutral with regard  to jurisdictional claims in published maps and institutional affiliations. Index. décimale : PER Périodiques Résumé : Background: Animal models for neurodevelopmental disorders (NDD) generally rely on a single genetic mutation on a fixed genetic background. Recent human genetic studies however indicate that a clinical diagnosis with ASDAutism Spectrum Disorder (ASD) is almost always associated with multiple genetic fore- and background changes. The translational value of animal model studies would be greatly enhanced if genetic insults could be studied in a more quantitative framework across genetic backgrounds. Methods: We used the Collaborative Cross (CC), a novel mouse genetic reference population, to investigate the quantitative genetic architecture of mouse behavioral phenotypes commonly used in animal models for NDD. Results: Classical tests of social recognition and grooming phenotypes appeared insufficient for quantitative studies due to genetic dilution and limited heritability. In contrast, digging, locomotor activity, and stereotyped exploratory patterns were characterized by continuous distribution across our CC sample and also mapped to quantitative trait loci containing genes associated with corresponding phenotypes in human populations. Conclusions: These findings show that the CC can move animal model studies beyond comparative single gene-single background designs, and point out which type of behavioral phenotypes are most suitable to quantify the effect of developmental etiologies across multiple genetic backgrounds. En ligne : https://dx.doi.org/10.1186/s13229-018-0252-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=389 [article] Modeling the quantitative nature of neurodevelopmental disorders using Collaborative Cross mice [texte imprimé] / Remco T. MOLENHUIS, Auteur ; Hilgo BRUINING, Auteur ; Myrna J.V. BRANDT, Auteur ; Petra E. VAN SOLDT, Auteur ; Hanifa J. ABU-TOAMIH ATAMNI, Auteur ; J. Peter H. BURBACH, Auteur ; Fuad A. IRAQI, Auteur ; Richard F. MOTT, Auteur ; Martien J.H. KAS, Auteur . - 63 p. Langues : Anglais (eng) in Molecular Autism > 9 (2018) . - 63 p. Mots-clés : Animals  Autism Spectrum Disorder/*genetics  Genetics, Behavioral/*methods/standards  Genome-Wide Association Study/*methods/standards  Male  Mice  Mice, Inbred C57BL  Multifactorial Inheritance  Quantitative Trait Loci  Reference Standards  *Animal models  *Autism  *Behavioral neuroscience  *Genetic reference population  *Histamine 3 receptor  *Neurodevelopmental disorders  *Quantitative genetics  *Repetitive behavior  Care and Use Committee of Tel Aviv University.Not applicable.The authors declare  that they have no competing interests.Springer Nature remains neutral with regard  to jurisdictional claims in published maps and institutional affiliations. Index. décimale : PER Périodiques Résumé : Background: Animal models for neurodevelopmental disorders (NDD) generally rely on a single genetic mutation on a fixed genetic background. Recent human genetic studies however indicate that a clinical diagnosis with ASDAutism Spectrum Disorder (ASD) is almost always associated with multiple genetic fore- and background changes. The translational value of animal model studies would be greatly enhanced if genetic insults could be studied in a more quantitative framework across genetic backgrounds. Methods: We used the Collaborative Cross (CC), a novel mouse genetic reference population, to investigate the quantitative genetic architecture of mouse behavioral phenotypes commonly used in animal models for NDD. Results: Classical tests of social recognition and grooming phenotypes appeared insufficient for quantitative studies due to genetic dilution and limited heritability. In contrast, digging, locomotor activity, and stereotyped exploratory patterns were characterized by continuous distribution across our CC sample and also mapped to quantitative trait loci containing genes associated with corresponding phenotypes in human populations. Conclusions: These findings show that the CC can move animal model studies beyond comparative single gene-single background designs, and point out which type of behavioral phenotypes are most suitable to quantify the effect of developmental etiologies across multiple genetic backgrounds. En ligne : https://dx.doi.org/10.1186/s13229-018-0252-2 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=389

Phenotypic and ancestry-related assortative mating in autism / Jing ZHANG in Molecular Autism, 15 (2024)  

Public ISBD [article]  inMolecular Autism > 15 (2024) . - 27p. Titre : Phenotypic and ancestry-related assortative mating in autism Type de document : texte imprimé Auteurs : Jing ZHANG, Auteur ; J. Dylan WEISSENKAMPEN, Auteur ; Rachel KEMBER, Auteur ; iPSYCH CONSORTIUM, Auteur ; Jakob GROVE, Auteur ; Anders D. BØRGLUM, Auteur ; Elise B. ROBINSON, Auteur ; Edward S. BRODKIN, Auteur ; Laura ALMASY, Auteur ; Maja BUÄŒAN, Auteur ; Ronnie SEBRO, Auteur Article en page(s) : 27p. Langues : Anglais (eng) Mots-clés : Humans  Autistic Disorder/genetics  Phenotype  Male  Female  Linkage Disequilibrium  Multifactorial Inheritance  Child  Genetic Predisposition to Disease  Polymorphism, Single Nucleotide  Adult  Intellectual Disability/genetics  Assortative mating  Autism  Genetic ancestry  Intellectual disability  Linkage disequilibrium  Polygenic scores Index. décimale : PER Périodiques Résumé : BACKGROUND: Positive assortative mating (AM) in several neuropsychiatric traits, including autism, has been noted. However, it is unknown whether the pattern of AM is different in phenotypically defined autism subgroups [e.g., autism with and without intellectually disability (ID)]. It is also unclear what proportion of the phenotypic AM can be explained by the genetic similarity between parents of children with an autism diagnosis, and the consequences of AM on the genetic structure of the population. METHODS: To address these questions, we analyzed two family-based autism collections: the Simons Foundation Powering Autism Research for Knowledge (SPARK) (1575 families) and the Simons Simplex Collection (SSC) (2283 families). RESULTS: We found a similar degree of phenotypic and ancestry-related AM in parents of children with an autism diagnosis regardless of the presence of ID. We did not find evidence of AM for autism based on autism polygenic scores (PGS) (at a threshold of |r|> 0.1). The adjustment of ancestry-related AM or autism PGS accounted for only 0.3-4% of the fractional change in the estimate of the phenotypic AM. The ancestry-related AM introduced higher long-range linkage disequilibrium (LD) between single nucleotide polymorphisms (SNPs) on different chromosomes that are highly ancestry-informative compared to SNPs that are less ancestry-informative (D(2) on the order of 1 * 10(-5)). LIMITATIONS: We only analyzed participants of European ancestry, limiting the generalizability of our results to individuals of non-European ancestry. SPARK and SSC were both multicenter studies. Therefore, there could be ancestry-related AM in SPARK and SSC due to geographic stratification. The study participants from each site were unknown, so we were unable to evaluate for geographic stratification. CONCLUSIONS: This study showed similar patterns of AM in autism with and without ID, and demonstrated that the common genetic influences of autism are likely relevant to both autism groups. The adjustment of ancestry-related AM and autism PGS accounted for < 5% of the fractional change in the estimate of the phenotypic AM. Future studies are needed to evaluate if the small increase of long-range LD induced by ancestry-related AM has impact on the downstream analysis. En ligne : https://dx.doi.org/10.1186/s13229-024-00605-5 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=538 [article] Phenotypic and ancestry-related assortative mating in autism [texte imprimé] / Jing ZHANG, Auteur ; J. Dylan WEISSENKAMPEN, Auteur ; Rachel KEMBER, Auteur ; iPSYCH CONSORTIUM, Auteur ; Jakob GROVE, Auteur ; Anders D. BØRGLUM, Auteur ; Elise B. ROBINSON, Auteur ; Edward S. BRODKIN, Auteur ; Laura ALMASY, Auteur ; Maja BUÄŒAN, Auteur ; Ronnie SEBRO, Auteur . - 27p. Langues : Anglais (eng) in Molecular Autism > 15 (2024) . - 27p. Mots-clés : Humans  Autistic Disorder/genetics  Phenotype  Male  Female  Linkage Disequilibrium  Multifactorial Inheritance  Child  Genetic Predisposition to Disease  Polymorphism, Single Nucleotide  Adult  Intellectual Disability/genetics  Assortative mating  Autism  Genetic ancestry  Intellectual disability  Linkage disequilibrium  Polygenic scores Index. décimale : PER Périodiques Résumé : BACKGROUND: Positive assortative mating (AM) in several neuropsychiatric traits, including autism, has been noted. However, it is unknown whether the pattern of AM is different in phenotypically defined autism subgroups [e.g., autism with and without intellectually disability (ID)]. It is also unclear what proportion of the phenotypic AM can be explained by the genetic similarity between parents of children with an autism diagnosis, and the consequences of AM on the genetic structure of the population. METHODS: To address these questions, we analyzed two family-based autism collections: the Simons Foundation Powering Autism Research for Knowledge (SPARK) (1575 families) and the Simons Simplex Collection (SSC) (2283 families). RESULTS: We found a similar degree of phenotypic and ancestry-related AM in parents of children with an autism diagnosis regardless of the presence of ID. We did not find evidence of AM for autism based on autism polygenic scores (PGS) (at a threshold of |r|> 0.1). The adjustment of ancestry-related AM or autism PGS accounted for only 0.3-4% of the fractional change in the estimate of the phenotypic AM. The ancestry-related AM introduced higher long-range linkage disequilibrium (LD) between single nucleotide polymorphisms (SNPs) on different chromosomes that are highly ancestry-informative compared to SNPs that are less ancestry-informative (D(2) on the order of 1 * 10(-5)). LIMITATIONS: We only analyzed participants of European ancestry, limiting the generalizability of our results to individuals of non-European ancestry. SPARK and SSC were both multicenter studies. Therefore, there could be ancestry-related AM in SPARK and SSC due to geographic stratification. The study participants from each site were unknown, so we were unable to evaluate for geographic stratification. CONCLUSIONS: This study showed similar patterns of AM in autism with and without ID, and demonstrated that the common genetic influences of autism are likely relevant to both autism groups. The adjustment of ancestry-related AM and autism PGS accounted for < 5% of the fractional change in the estimate of the phenotypic AM. Future studies are needed to evaluate if the small increase of long-range LD induced by ancestry-related AM has impact on the downstream analysis. En ligne : https://dx.doi.org/10.1186/s13229-024-00605-5 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=538

Polygenic risks for joint developmental trajectories of internalizing and externalizing problems: findings from the ALSPAC cohort / Lydia Gabriela SPEYER in Journal of Child Psychology and Psychiatry, 63-8 (August 2022)  

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Polygenic scores for schizophrenia and major depression are associated with psychosocial risk factors in children: evidence of gene-environment correlation / Sandra MACHLITT-NORTHEN in Journal of Child Psychology and Psychiatry, 63-10 (October 2022)  

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Research Review: How to interpret associations between polygenic scores, environmental risks, and phenotypes / Jean-Baptiste PINGAULT in Journal of Child Psychology and Psychiatry, 63-10 (October 2022)  

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The physical and psychiatric health conditions related to autism genetic scores, across genetic ancestries, sexes and age-groups in electronic health records / Maria NIARCHOU in Journal of Neurodevelopmental Disorders, 15 (2023)  

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Unique prediction of developmental psychopathology from genetic and familial risk / Robert J. LOUGHNAN in Journal of Child Psychology and Psychiatry, 63-12 (December 2022)  

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