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Content, diagnostic, correlational, and genetic similarities between common measures of childhood aggressive behaviors and related psychiatric traits / Anne M. HENDRIKS in Journal of Child Psychology and Psychiatry, 61-12 (December 2020)
[article]
Titre : Content, diagnostic, correlational, and genetic similarities between common measures of childhood aggressive behaviors and related psychiatric traits Type de document : Texte imprimé et/ou numérique Auteurs : Anne M. HENDRIKS, Auteur ; Hill F IP, Auteur ; Michel G. NIVARD, Auteur ; Catrin FINKENAUER, Auteur ; Catharina E. M. VAN BEIJSTERVELDT, Auteur ; Meike BARTELS, Auteur ; Dorret I. BOOMSMA, Auteur Article en page(s) : p.1328-1338 Langues : Anglais (eng) Mots-clés : Childhood aggressive behavior clinical concordance genetic correlation item overlap Index. décimale : PER Périodiques Résumé : BACKGROUND: Given the role of childhood aggressive behavior (AGG) in everyday child development, precise and accurate measurement is critical in clinical practice and research. This study aims to quantify agreement among widely used measures of childhood AGG regarding item content, clinical concordance, correlation, and underlying genetic construct. METHODS: We analyzed data from 1254 Dutch twin pairs (age 8-10 years, 51.1% boys) from a general population sample for whom both parents completed the A-TAC, CBCL, and SDQ at the same occasion. RESULTS: There was substantial variation in item content among AGG measures, ranging from .00 (i.e., mutually exclusive) to .50 (moderate agreement). Clinical concordance (i.e., do the same children score above a clinical threshold among AGG measures) was very weak to moderate with estimates ranging between .01 and .43 for mother-reports and between .12 and .42 for father-reports. Correlations among scales were weak to strong, ranging from .32 to .70 for mother-reports and from .32 to .64 for father-reports. We found weak to very strong genetic correlations among the measures, with estimates between .65 and .84 for mother-reports and between .30 and .87 for father-reports. CONCLUSIONS: Our results demonstrated that degree of agreement between measures of AGG depends on the type (i.e., item content, clinical concordance, correlation, genetic correlation) of agreement considered. Because agreement was higher for correlations compared to clinical concordance (i.e., above or below a clinical cutoff), we propose the use of continuous scores to assess AGG, especially for combining data with different measures. Although item content can be different and agreement among observed measures may not be high, the genetic correlations indicate that the underlying genetic liability for childhood AGG is consistent across measures. En ligne : http://dx.doi.org/10.1111/jcpp.13218 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=434
in Journal of Child Psychology and Psychiatry > 61-12 (December 2020) . - p.1328-1338[article] Content, diagnostic, correlational, and genetic similarities between common measures of childhood aggressive behaviors and related psychiatric traits [Texte imprimé et/ou numérique] / Anne M. HENDRIKS, Auteur ; Hill F IP, Auteur ; Michel G. NIVARD, Auteur ; Catrin FINKENAUER, Auteur ; Catharina E. M. VAN BEIJSTERVELDT, Auteur ; Meike BARTELS, Auteur ; Dorret I. BOOMSMA, Auteur . - p.1328-1338.
Langues : Anglais (eng)
in Journal of Child Psychology and Psychiatry > 61-12 (December 2020) . - p.1328-1338
Mots-clés : Childhood aggressive behavior clinical concordance genetic correlation item overlap Index. décimale : PER Périodiques Résumé : BACKGROUND: Given the role of childhood aggressive behavior (AGG) in everyday child development, precise and accurate measurement is critical in clinical practice and research. This study aims to quantify agreement among widely used measures of childhood AGG regarding item content, clinical concordance, correlation, and underlying genetic construct. METHODS: We analyzed data from 1254 Dutch twin pairs (age 8-10 years, 51.1% boys) from a general population sample for whom both parents completed the A-TAC, CBCL, and SDQ at the same occasion. RESULTS: There was substantial variation in item content among AGG measures, ranging from .00 (i.e., mutually exclusive) to .50 (moderate agreement). Clinical concordance (i.e., do the same children score above a clinical threshold among AGG measures) was very weak to moderate with estimates ranging between .01 and .43 for mother-reports and between .12 and .42 for father-reports. Correlations among scales were weak to strong, ranging from .32 to .70 for mother-reports and from .32 to .64 for father-reports. We found weak to very strong genetic correlations among the measures, with estimates between .65 and .84 for mother-reports and between .30 and .87 for father-reports. CONCLUSIONS: Our results demonstrated that degree of agreement between measures of AGG depends on the type (i.e., item content, clinical concordance, correlation, genetic correlation) of agreement considered. Because agreement was higher for correlations compared to clinical concordance (i.e., above or below a clinical cutoff), we propose the use of continuous scores to assess AGG, especially for combining data with different measures. Although item content can be different and agreement among observed measures may not be high, the genetic correlations indicate that the underlying genetic liability for childhood AGG is consistent across measures. En ligne : http://dx.doi.org/10.1111/jcpp.13218 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=434 An atlas of genetic correlations between gestational age and common psychiatric disorders / Yao YAO in Autism Research, 15-6 (June 2022)
[article]
Titre : An atlas of genetic correlations between gestational age and common psychiatric disorders Type de document : Texte imprimé et/ou numérique Auteurs : Yao YAO, Auteur ; Chun'e LI, Auteur ; Peilin MENG, Auteur ; Bolun CHENG, Auteur ; Shiqiang CHENG, Auteur ; Li LIU, Auteur ; Xuena YANG, Auteur ; Yumeng JIA, Auteur ; Yan WEN, Auteur ; Feng ZHANG, Auteur Article en page(s) : p.1008-1017 Langues : Anglais (eng) Mots-clés : Attention Deficit Disorder with Hyperactivity/genetics Autism Spectrum Disorder/genetics Depressive Disorder, Major/genetics Female Genetic Predisposition to Disease Genome-Wide Association Study Gestational Age Humans Infant, Newborn Mendelian Randomization Analysis Premature Birth/genetics Proteomics genetic correlation linkage disequilibrium score regression psychiatric disorders Index. décimale : PER Périodiques Résumé : We aim to systematically explore the potential genetic correlations between five major psychiatric disorders and gestational ages. Genome-wide association study (GWAS) summary datasets of attention deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), bipolar disorder (BD), schizophrenia (SCZ) and major depressive disorder (MDD) in discovery were downloaded from the Psychiatric GWAS Consortium (PGC) website. Suggestive (Raw p?0.05) genetic associations in the discovery phrase were further replicated in independent GWASs which downloaded from PGC, the FinnGen study or Integrative Psychiatric Research (iPSYCH) website. GWASs of gestational duration, preterm and post-term birth were derived from previous studies of infants from the Early Growth Genetics (EGG) Consortium, the iPSYCH study, and the Genomic and Proteomic Network for Preterm Birth Research (GPN). We calculated genetic correlations using linkage disequilibrium score (LDSC) regression. Mendelian randomization (MR) analyses were performed to investigate the causal effects. We identified four suggestive genetic correlations between psychiatric disorders and gestational age factors in discovery LDSC and two replicated in a confirmation LDSC: gestational duration and ADHD (r(g) = -0.1405, FDR p = 0.0406), post-term birth and SCZ (r(g) = -0.2003, FDR p = 0.0042). We also observed causal effect of post-term birth on SCZ by MR (P(Weighted median) = 0.037, P(Inverse variance weighted) = 0.007). Our analysis suggested no significant evidence of horizontal pleiotropy and heterogeneity. This study showed the genetic correlation evidences between gestational age phenotypes and psychiatric disorders, providing novel clues for understanding the pathogenic factors of common psychiatric disorders. LAY SUMMARY: Whereas gestational age factors were reported to be associated with psychiatric disorders, the genetic relationship and causality remain to be revealed. The present study reported the first large-scale genetic correlations investigation of the associations between gestational age phenotypes and psychiatric disorders. Results indicate causal relationships between post-term birth and schizophrenia (SCZ), as well as suggestive genetic correlations between gestational duration and attention deficit/hyperactivity disorder (ADHD). This study provided novel clues for understanding the pathogenic factors of common psychiatric disorders. En ligne : http://dx.doi.org/10.1002/aur.2719 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=476
in Autism Research > 15-6 (June 2022) . - p.1008-1017[article] An atlas of genetic correlations between gestational age and common psychiatric disorders [Texte imprimé et/ou numérique] / Yao YAO, Auteur ; Chun'e LI, Auteur ; Peilin MENG, Auteur ; Bolun CHENG, Auteur ; Shiqiang CHENG, Auteur ; Li LIU, Auteur ; Xuena YANG, Auteur ; Yumeng JIA, Auteur ; Yan WEN, Auteur ; Feng ZHANG, Auteur . - p.1008-1017.
Langues : Anglais (eng)
in Autism Research > 15-6 (June 2022) . - p.1008-1017
Mots-clés : Attention Deficit Disorder with Hyperactivity/genetics Autism Spectrum Disorder/genetics Depressive Disorder, Major/genetics Female Genetic Predisposition to Disease Genome-Wide Association Study Gestational Age Humans Infant, Newborn Mendelian Randomization Analysis Premature Birth/genetics Proteomics genetic correlation linkage disequilibrium score regression psychiatric disorders Index. décimale : PER Périodiques Résumé : We aim to systematically explore the potential genetic correlations between five major psychiatric disorders and gestational ages. Genome-wide association study (GWAS) summary datasets of attention deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), bipolar disorder (BD), schizophrenia (SCZ) and major depressive disorder (MDD) in discovery were downloaded from the Psychiatric GWAS Consortium (PGC) website. Suggestive (Raw p?0.05) genetic associations in the discovery phrase were further replicated in independent GWASs which downloaded from PGC, the FinnGen study or Integrative Psychiatric Research (iPSYCH) website. GWASs of gestational duration, preterm and post-term birth were derived from previous studies of infants from the Early Growth Genetics (EGG) Consortium, the iPSYCH study, and the Genomic and Proteomic Network for Preterm Birth Research (GPN). We calculated genetic correlations using linkage disequilibrium score (LDSC) regression. Mendelian randomization (MR) analyses were performed to investigate the causal effects. We identified four suggestive genetic correlations between psychiatric disorders and gestational age factors in discovery LDSC and two replicated in a confirmation LDSC: gestational duration and ADHD (r(g) = -0.1405, FDR p = 0.0406), post-term birth and SCZ (r(g) = -0.2003, FDR p = 0.0042). We also observed causal effect of post-term birth on SCZ by MR (P(Weighted median) = 0.037, P(Inverse variance weighted) = 0.007). Our analysis suggested no significant evidence of horizontal pleiotropy and heterogeneity. This study showed the genetic correlation evidences between gestational age phenotypes and psychiatric disorders, providing novel clues for understanding the pathogenic factors of common psychiatric disorders. LAY SUMMARY: Whereas gestational age factors were reported to be associated with psychiatric disorders, the genetic relationship and causality remain to be revealed. The present study reported the first large-scale genetic correlations investigation of the associations between gestational age phenotypes and psychiatric disorders. Results indicate causal relationships between post-term birth and schizophrenia (SCZ), as well as suggestive genetic correlations between gestational duration and attention deficit/hyperactivity disorder (ADHD). This study provided novel clues for understanding the pathogenic factors of common psychiatric disorders. En ligne : http://dx.doi.org/10.1002/aur.2719 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=476 Meta-analysis of GWAS of over 16,000 individuals with autism spectrum disorder highlights a novel locus at 10q24.32 and a significant overlap with schizophrenia / THE AUTISM SPECTRUM DISORDERS WORKING GROUP OF THE PSYCHIATRIC GENOMICS CONSORTIUM in Molecular Autism, 8 (2017)
[article]
Titre : Meta-analysis of GWAS of over 16,000 individuals with autism spectrum disorder highlights a novel locus at 10q24.32 and a significant overlap with schizophrenia Type de document : Texte imprimé et/ou numérique Auteurs : THE AUTISM SPECTRUM DISORDERS WORKING GROUP OF THE PSYCHIATRIC GENOMICS CONSORTIUM, Auteur Article en page(s) : 21p. Langues : Anglais (eng) Mots-clés : Autism spectrum disorder Gene-set analysis Genetic correlation Genome-wide association study Heritability Meta-analysis Neurodevelopment Schizophrenia Index. décimale : PER Périodiques Résumé : BACKGROUND: Over the past decade genome-wide association studies (GWAS) have been applied to aid in the understanding of the biology of traits. The success of this approach is governed by the underlying effect sizes carried by the true risk variants and the corresponding statistical power to observe such effects given the study design and sample size under investigation. Previous ASD GWAS have identified genome-wide significant (GWS) risk loci; however, these studies were of only of low statistical power to identify GWS loci at the lower effect sizes (odds ratio (OR) <1.15). METHODS: We conducted a large-scale coordinated international collaboration to combine independent genotyping data to improve the statistical power and aid in robust discovery of GWS loci. This study uses genome-wide genotyping data from a discovery sample (7387 ASD cases and 8567 controls) followed by meta-analysis of summary statistics from two replication sets (7783 ASD cases and 11359 controls; and 1369 ASD cases and 137308 controls). RESULTS: We observe a GWS locus at 10q24.32 that overlaps several genes including PITX3, which encodes a transcription factor identified as playing a role in neuronal differentiation and CUEDC2 previously reported to be associated with social skills in an independent population cohort. We also observe overlap with regions previously implicated in schizophrenia which was further supported by a strong genetic correlation between these disorders (Rg = 0.23; P = 9 x 10(-6)). We further combined these Psychiatric Genomics Consortium (PGC) ASD GWAS data with the recent PGC schizophrenia GWAS to identify additional regions which may be important in a common neurodevelopmental phenotype and identified 12 novel GWS loci. These include loci previously implicated in ASD such as FOXP1 at 3p13, ATP2B2 at 3p25.3, and a 'neurodevelopmental hub' on chromosome 8p11.23. CONCLUSIONS: This study is an important step in the ongoing endeavour to identify the loci which underpin the common variant signal in ASD. In addition to novel GWS loci, we have identified a significant genetic correlation with schizophrenia and association of ASD with several neurodevelopmental-related genes such as EXT1, ASTN2, MACROD2, and HDAC4. En ligne : http://dx.doi.org/10.1186/s13229-017-0137-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=331
in Molecular Autism > 8 (2017) . - 21p.[article] Meta-analysis of GWAS of over 16,000 individuals with autism spectrum disorder highlights a novel locus at 10q24.32 and a significant overlap with schizophrenia [Texte imprimé et/ou numérique] / THE AUTISM SPECTRUM DISORDERS WORKING GROUP OF THE PSYCHIATRIC GENOMICS CONSORTIUM, Auteur . - 21p.
Langues : Anglais (eng)
in Molecular Autism > 8 (2017) . - 21p.
Mots-clés : Autism spectrum disorder Gene-set analysis Genetic correlation Genome-wide association study Heritability Meta-analysis Neurodevelopment Schizophrenia Index. décimale : PER Périodiques Résumé : BACKGROUND: Over the past decade genome-wide association studies (GWAS) have been applied to aid in the understanding of the biology of traits. The success of this approach is governed by the underlying effect sizes carried by the true risk variants and the corresponding statistical power to observe such effects given the study design and sample size under investigation. Previous ASD GWAS have identified genome-wide significant (GWS) risk loci; however, these studies were of only of low statistical power to identify GWS loci at the lower effect sizes (odds ratio (OR) <1.15). METHODS: We conducted a large-scale coordinated international collaboration to combine independent genotyping data to improve the statistical power and aid in robust discovery of GWS loci. This study uses genome-wide genotyping data from a discovery sample (7387 ASD cases and 8567 controls) followed by meta-analysis of summary statistics from two replication sets (7783 ASD cases and 11359 controls; and 1369 ASD cases and 137308 controls). RESULTS: We observe a GWS locus at 10q24.32 that overlaps several genes including PITX3, which encodes a transcription factor identified as playing a role in neuronal differentiation and CUEDC2 previously reported to be associated with social skills in an independent population cohort. We also observe overlap with regions previously implicated in schizophrenia which was further supported by a strong genetic correlation between these disorders (Rg = 0.23; P = 9 x 10(-6)). We further combined these Psychiatric Genomics Consortium (PGC) ASD GWAS data with the recent PGC schizophrenia GWAS to identify additional regions which may be important in a common neurodevelopmental phenotype and identified 12 novel GWS loci. These include loci previously implicated in ASD such as FOXP1 at 3p13, ATP2B2 at 3p25.3, and a 'neurodevelopmental hub' on chromosome 8p11.23. CONCLUSIONS: This study is an important step in the ongoing endeavour to identify the loci which underpin the common variant signal in ASD. In addition to novel GWS loci, we have identified a significant genetic correlation with schizophrenia and association of ASD with several neurodevelopmental-related genes such as EXT1, ASTN2, MACROD2, and HDAC4. En ligne : http://dx.doi.org/10.1186/s13229-017-0137-9 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=331