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Auteur Li LIU |
Documents disponibles écrits par cet auteur (5)



An atlas of genetic correlations between gestational age and common psychiatric disorders / Yao YAO in Autism Research, 15-6 (June 2022)
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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 Association Between Maternal Obesity and Autism Spectrum Disorder in Offspring: A Meta-analysis / Ya-Min LI in Journal of Autism and Developmental Disorders, 46-1 (January 2016)
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Titre : Association Between Maternal Obesity and Autism Spectrum Disorder in Offspring: A Meta-analysis Type de document : Texte imprimé et/ou numérique Auteurs : Ya-Min LI, Auteur ; Jian-Jun OU, Auteur ; Li LIU, Auteur ; Dan ZHANG, Auteur ; Jing-Ping ZHAO, Auteur ; Si-Yuan TANG, Auteur Année de publication : 2016 Article en page(s) : p.95-102 Langues : Anglais (eng) Mots-clés : Obésité maternelle Maternal obesity Autism spectrum disorder Offspring Meta-analysis Index. décimale : PER Périodiques Résumé : As the link between maternal obesity and risk of autism among offspring is unclear, the present study assessed this association. A systematic search of an electronic database was performed to identify observational studies that examined the association between maternal obesity and autism. The outcome measures were odds ratios comparing offspring autism risk between obese and normal-weight mothers. Five observational studies were included in the meta-analysis. A fixed-effects model was used since low heterogeneity was observed between studies. The pooled adjusted odds ratio was 1.47 (95 % CI 1.24–1.74). The meta-analysis results support an increased risk of autism spectrum disorder in children of women who were obese during pregnancy. However, further study is warranted to confirm these results. En ligne : http://dx.doi.org/10.1007/s10803-015-2549-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=278
in Journal of Autism and Developmental Disorders > 46-1 (January 2016) . - p.95-102[article] Association Between Maternal Obesity and Autism Spectrum Disorder in Offspring: A Meta-analysis [Texte imprimé et/ou numérique] / Ya-Min LI, Auteur ; Jian-Jun OU, Auteur ; Li LIU, Auteur ; Dan ZHANG, Auteur ; Jing-Ping ZHAO, Auteur ; Si-Yuan TANG, Auteur . - 2016 . - p.95-102.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 46-1 (January 2016) . - p.95-102
Mots-clés : Obésité maternelle Maternal obesity Autism spectrum disorder Offspring Meta-analysis Index. décimale : PER Périodiques Résumé : As the link between maternal obesity and risk of autism among offspring is unclear, the present study assessed this association. A systematic search of an electronic database was performed to identify observational studies that examined the association between maternal obesity and autism. The outcome measures were odds ratios comparing offspring autism risk between obese and normal-weight mothers. Five observational studies were included in the meta-analysis. A fixed-effects model was used since low heterogeneity was observed between studies. The pooled adjusted odds ratio was 1.47 (95 % CI 1.24–1.74). The meta-analysis results support an increased risk of autism spectrum disorder in children of women who were obese during pregnancy. However, further study is warranted to confirm these results. En ligne : http://dx.doi.org/10.1007/s10803-015-2549-8 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=278 DAWN: a framework to identify autism genes and subnetworks using gene expression and genetics / Li LIU in Molecular Autism, (March 2014)
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Titre : DAWN: a framework to identify autism genes and subnetworks using gene expression and genetics Type de document : Texte imprimé et/ou numérique Auteurs : Li LIU, Auteur ; Jing LEI, Auteur ; Stephan J. SANDERS, Auteur ; Arthur Jeremy WILLSEY, Auteur ; Yan KOU, Auteur ; Abdullah Ercument CICEK, Auteur ; Lambertus KLEI, Auteur ; Cong LU, Auteur ; Xin HE, Auteur ; Mingfeng LI, Auteur ; Rebecca A. MUHLE, Auteur ; Avi MA’AYAN, Auteur ; James P. NOONAN, Auteur ; Nenad ŠESTAN, Auteur ; Kathryn A. MCFADDEN, Auteur ; Matthew W. STATE, Auteur ; Joseph D. BUXBAUM, Auteur ; Bernie DEVLIN, Auteur ; Kathryn ROEDER, Auteur Article en page(s) : p.1-18 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : De novo loss-of-function (dnLoF) mutations are found twofold more often in autism spectrum disorder (ASD) probands than their unaffected siblings. Multiple independent dnLoF mutations in the same gene implicate the gene in risk and hence provide a systematic, albeit arduous, path forward for ASD genetics. It is likely that using additional non-genetic data will enhance the ability to identify ASD genes. En ligne : http://dx.doi.org/10.1186/2040-2392-5-22 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=276
in Molecular Autism > (March 2014) . - p.1-18[article] DAWN: a framework to identify autism genes and subnetworks using gene expression and genetics [Texte imprimé et/ou numérique] / Li LIU, Auteur ; Jing LEI, Auteur ; Stephan J. SANDERS, Auteur ; Arthur Jeremy WILLSEY, Auteur ; Yan KOU, Auteur ; Abdullah Ercument CICEK, Auteur ; Lambertus KLEI, Auteur ; Cong LU, Auteur ; Xin HE, Auteur ; Mingfeng LI, Auteur ; Rebecca A. MUHLE, Auteur ; Avi MA’AYAN, Auteur ; James P. NOONAN, Auteur ; Nenad ŠESTAN, Auteur ; Kathryn A. MCFADDEN, Auteur ; Matthew W. STATE, Auteur ; Joseph D. BUXBAUM, Auteur ; Bernie DEVLIN, Auteur ; Kathryn ROEDER, Auteur . - p.1-18.
Langues : Anglais (eng)
in Molecular Autism > (March 2014) . - p.1-18
Index. décimale : PER Périodiques Résumé : De novo loss-of-function (dnLoF) mutations are found twofold more often in autism spectrum disorder (ASD) probands than their unaffected siblings. Multiple independent dnLoF mutations in the same gene implicate the gene in risk and hence provide a systematic, albeit arduous, path forward for ASD genetics. It is likely that using additional non-genetic data will enhance the ability to identify ASD genes. En ligne : http://dx.doi.org/10.1186/2040-2392-5-22 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=276 Plasma Amino Acid Profile in Children with Autism Spectrum Disorder in Southern China: Analysis of 110 Cases / Wen-Xiong CHEN in Journal of Autism and Developmental Disorders, 54-4 (April 2024)
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Titre : Plasma Amino Acid Profile in Children with Autism Spectrum Disorder in Southern China: Analysis of 110 Cases Type de document : Texte imprimé et/ou numérique Auteurs : Wen-Xiong CHEN, Auteur ; Yi-Ru CHEN, Auteur ; Min-Zhi PENG, Auteur ; Xian LIU, Auteur ; Yan-Na CAI, Auteur ; Zhi-Fang HUANG, Auteur ; Si-Yuan YANG, Auteur ; Jing-Yu HUANG, Auteur ; Ruo-Han WANG, Auteur ; Peng YI, Auteur ; Li LIU, Auteur Article en page(s) : p.1567-1581 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : To retrospectively explore the characteristics of plasma amino acids (PAAs) in children with autism spectrum disorder and their clinical association via case-control study. A total of 110 autistic and 55 healthy children were recruited from 2014 to 2018. The clinical phenotypes included severity of autism, cognition, adaptability, and regression. Compared with the control group, autistic children had significantly elevated glutamate, ?-Amino-n-butyric acid, glutamine, sarcosine, ?-aminolevulinic acid, glycine and citrulline. In contrast, their plasma level of ethanolamine, phenylalanine, tryptophan, homocysteine, pyroglutamic acid, hydroxyproline, ornithine, histidine, lysine, and glutathione were significantly lower. Elevated neuroactive amino acids (glutamate) and decreased essential amino acids were mostly distinct characteristics of PAAs of autistic children. Increased level of tryptophan might be associated with severity of autism. En ligne : https://doi.org/10.1007/s10803-022-05829-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=526
in Journal of Autism and Developmental Disorders > 54-4 (April 2024) . - p.1567-1581[article] Plasma Amino Acid Profile in Children with Autism Spectrum Disorder in Southern China: Analysis of 110 Cases [Texte imprimé et/ou numérique] / Wen-Xiong CHEN, Auteur ; Yi-Ru CHEN, Auteur ; Min-Zhi PENG, Auteur ; Xian LIU, Auteur ; Yan-Na CAI, Auteur ; Zhi-Fang HUANG, Auteur ; Si-Yuan YANG, Auteur ; Jing-Yu HUANG, Auteur ; Ruo-Han WANG, Auteur ; Peng YI, Auteur ; Li LIU, Auteur . - p.1567-1581.
Langues : Anglais (eng)
in Journal of Autism and Developmental Disorders > 54-4 (April 2024) . - p.1567-1581
Index. décimale : PER Périodiques Résumé : To retrospectively explore the characteristics of plasma amino acids (PAAs) in children with autism spectrum disorder and their clinical association via case-control study. A total of 110 autistic and 55 healthy children were recruited from 2014 to 2018. The clinical phenotypes included severity of autism, cognition, adaptability, and regression. Compared with the control group, autistic children had significantly elevated glutamate, ?-Amino-n-butyric acid, glutamine, sarcosine, ?-aminolevulinic acid, glycine and citrulline. In contrast, their plasma level of ethanolamine, phenylalanine, tryptophan, homocysteine, pyroglutamic acid, hydroxyproline, ornithine, histidine, lysine, and glutathione were significantly lower. Elevated neuroactive amino acids (glutamate) and decreased essential amino acids were mostly distinct characteristics of PAAs of autistic children. Increased level of tryptophan might be associated with severity of autism. En ligne : https://doi.org/10.1007/s10803-022-05829-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=526 Rare deleterious mutations of the gene EFR3A in autism spectrum disorders / Abha R. GUPTA in Molecular Autism, (April 2014)
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Titre : Rare deleterious mutations of the gene EFR3A in autism spectrum disorders Type de document : Texte imprimé et/ou numérique Auteurs : Abha R. GUPTA, Auteur ; Michelle PIRRUCCELLO, Auteur ; Feng CHENG, Auteur ; Hyo Jung KANG, Auteur ; Thomas V. FERNANDEZ, Auteur ; Jeremy M. BASKIN, Auteur ; Murim CHOI, Auteur ; Li LIU, Auteur ; Adife Gulhan ERCAN-SENCICEK, Auteur ; John D. MURDOCH, Auteur ; Lambertus KLEI, Auteur ; Benjamin M. NEALE, Auteur ; Daniel FRANJIC, Auteur ; Mark J. DALY, Auteur ; Richard P. LIFTON, Auteur ; Pietro DE CAMILLI, Auteur ; Hongyu ZHAO, Auteur ; Nenad ŠESTAN, Auteur ; Matthew W. STATE, Auteur Article en page(s) : p.1-14 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Whole-exome sequencing studies in autism spectrum disorder (ASD) have identified de novo mutations in novel candidate genes, including the synaptic gene Eighty-five Requiring 3A (EFR3A). EFR3A is a critical component of a protein complex required for the synthesis of the phosphoinositide PtdIns4P, which has a variety of functions at the neural synapse. We hypothesized that deleterious mutations in EFR3A would be significantly associated with ASD. En ligne : http://dx.doi.org/10.1186/2040-2392-5-31 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=276
in Molecular Autism > (April 2014) . - p.1-14[article] Rare deleterious mutations of the gene EFR3A in autism spectrum disorders [Texte imprimé et/ou numérique] / Abha R. GUPTA, Auteur ; Michelle PIRRUCCELLO, Auteur ; Feng CHENG, Auteur ; Hyo Jung KANG, Auteur ; Thomas V. FERNANDEZ, Auteur ; Jeremy M. BASKIN, Auteur ; Murim CHOI, Auteur ; Li LIU, Auteur ; Adife Gulhan ERCAN-SENCICEK, Auteur ; John D. MURDOCH, Auteur ; Lambertus KLEI, Auteur ; Benjamin M. NEALE, Auteur ; Daniel FRANJIC, Auteur ; Mark J. DALY, Auteur ; Richard P. LIFTON, Auteur ; Pietro DE CAMILLI, Auteur ; Hongyu ZHAO, Auteur ; Nenad ŠESTAN, Auteur ; Matthew W. STATE, Auteur . - p.1-14.
Langues : Anglais (eng)
in Molecular Autism > (April 2014) . - p.1-14
Index. décimale : PER Périodiques Résumé : Whole-exome sequencing studies in autism spectrum disorder (ASD) have identified de novo mutations in novel candidate genes, including the synaptic gene Eighty-five Requiring 3A (EFR3A). EFR3A is a critical component of a protein complex required for the synthesis of the phosphoinositide PtdIns4P, which has a variety of functions at the neural synapse. We hypothesized that deleterious mutations in EFR3A would be significantly associated with ASD. En ligne : http://dx.doi.org/10.1186/2040-2392-5-31 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=276