An X chromosome-wide association study in autism families identifies TBL1X as a novel autism spectrum disorder candidate gene in males / Ren-Hua CHUNG in Molecular Autism, (November 2011)  

Public ISBD [article]  inMolecular Autism > (November 2011) . - 10 p. Titre : An X chromosome-wide association study in autism families identifies TBL1X as a novel autism spectrum disorder candidate gene in males Type de document : Texte imprimé et/ou numérique Auteurs : Ren-Hua CHUNG, Auteur ; Deqiong MA, Auteur ; Kai WANG, Auteur ; Dale HEDGES, Auteur ; James M. JAWORSKI, Auteur ; John R. GILBERT, Auteur ; Michael L. CUCCARO, Auteur ; Harry H. WRIGHT, Auteur ; Ruth K. ABRAMSON, Auteur ; Ioanna KONIDARI, Auteur ; Patrice L. WHITEHEAD, Auteur ; Gerard SCHELLENBERG, Auteur ; Hakon HAKONARSON, Auteur ; Jonathan L. HAINES, Auteur ; Margaret A. O. PERICAK-VANCE, Auteur ; Eden R. MARTIN, Auteur Année de publication : 2011 Article en page(s) : 10 p. Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : BACKGROUND:Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder with a strong genetic component. The skewed prevalence toward males and evidence suggestive of linkage to the X chromosome in some studies suggest the presence of X-linked susceptibility genes in people with ASD.METHODS:We analyzed genome-wide association study (GWAS) data on the X chromosome in three independent autism GWAS data sets: two family data sets and one case-control data set. We performed meta- and joint analyses on the combined family and case-control data sets. In addition to the meta- and joint analyses, we performed replication analysis by using the two family data sets as a discovery data set and the case-control data set as a validation data set.RESULTS:One SNP, rs17321050, in the transducin beta-like 1X-linked (TBL1X) gene [OMIM:300196] showed chromosome-wide significance in the meta-analysis (P value = 4.86 x 10-6) and joint analysis (P value = 4.53 x 10-6) in males. The SNP was also close to the replication threshold of 0.0025 in the discovery data set (P = 5.89 x 10-3) and passed the replication threshold in the validation data set (P = 2.56 x 10-4). Two other SNPs in the same gene in linkage disequilibrium with rs17321050 also showed significance close to the chromosome-wide threshold in the meta-analysis.CONCLUSIONS:TBL1X is in the Wnt signaling pathway, which has previously been implicated as having a role in autism. Deletions in the Xp22.2 to Xp22.3 region containing TBL1X and surrounding genes are associated with several genetic syndromes that include intellectual disability and autistic features. Our results, based on meta-analysis, joint analysis and replication analysis, suggest that TBL1X may play a role in ASD risk. En ligne : http://dx.doi.org/10.1186/2040-2392-2-18 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=149 [article] An X chromosome-wide association study in autism families identifies TBL1X as a novel autism spectrum disorder candidate gene in males [Texte imprimé et/ou numérique] / Ren-Hua CHUNG, Auteur ; Deqiong MA, Auteur ; Kai WANG, Auteur ; Dale HEDGES, Auteur ; James M. JAWORSKI, Auteur ; John R. GILBERT, Auteur ; Michael L. CUCCARO, Auteur ; Harry H. WRIGHT, Auteur ; Ruth K. ABRAMSON, Auteur ; Ioanna KONIDARI, Auteur ; Patrice L. WHITEHEAD, Auteur ; Gerard SCHELLENBERG, Auteur ; Hakon HAKONARSON, Auteur ; Jonathan L. HAINES, Auteur ; Margaret A. O. PERICAK-VANCE, Auteur ; Eden R. MARTIN, Auteur . - 2011 . - 10 p. Langues : Anglais (eng) in Molecular Autism > (November 2011) . - 10 p. Index. décimale : PER Périodiques Résumé : BACKGROUND:Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder with a strong genetic component. The skewed prevalence toward males and evidence suggestive of linkage to the X chromosome in some studies suggest the presence of X-linked susceptibility genes in people with ASD.METHODS:We analyzed genome-wide association study (GWAS) data on the X chromosome in three independent autism GWAS data sets: two family data sets and one case-control data set. We performed meta- and joint analyses on the combined family and case-control data sets. In addition to the meta- and joint analyses, we performed replication analysis by using the two family data sets as a discovery data set and the case-control data set as a validation data set.RESULTS:One SNP, rs17321050, in the transducin beta-like 1X-linked (TBL1X) gene [OMIM:300196] showed chromosome-wide significance in the meta-analysis (P value = 4.86 x 10-6) and joint analysis (P value = 4.53 x 10-6) in males. The SNP was also close to the replication threshold of 0.0025 in the discovery data set (P = 5.89 x 10-3) and passed the replication threshold in the validation data set (P = 2.56 x 10-4). Two other SNPs in the same gene in linkage disequilibrium with rs17321050 also showed significance close to the chromosome-wide threshold in the meta-analysis.CONCLUSIONS:TBL1X is in the Wnt signaling pathway, which has previously been implicated as having a role in autism. Deletions in the Xp22.2 to Xp22.3 region containing TBL1X and surrounding genes are associated with several genetic syndromes that include intellectual disability and autistic features. Our results, based on meta-analysis, joint analysis and replication analysis, suggest that TBL1X may play a role in ASD risk. En ligne : http://dx.doi.org/10.1186/2040-2392-2-18 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=149

Dopaminergic variants in siblings at high risk for autism: Associations with initiating joint attention / Devon N. GANGI in Autism Research, 9-11 (November 2016)  

Public ISBD [article]  inAutism Research > 9-11 (November 2016) . - p.1142-1150 Titre : Dopaminergic variants in siblings at high risk for autism: Associations with initiating joint attention Type de document : Texte imprimé et/ou numérique Auteurs : Devon N. GANGI, Auteur ; Daniel S. MESSINGER, Auteur ; Eden R. MARTIN, Auteur ; Michael L. CUCCARO, Auteur Article en page(s) : p.1142-1150 Langues : Anglais (eng) Mots-clés : high-risk siblings  initiating joint attention  dopamine  differential susceptibility  autism spectrum disorder Index. décimale : PER Périodiques Résumé : Younger siblings of children with autism spectrum disorder (ASD; high-risk siblings) exhibit lower levels of initiating joint attention (IJA; sharing an object or experience with a social partner through gaze and/or gesture) than low-risk siblings of children without ASD. However, high-risk siblings also exhibit substantial variability in this domain. The neurotransmitter dopamine is linked to brain areas associated with reward, motivation, and attention, and common dopaminergic variants have been associated with attention difficulties. We examined whether these common dopaminergic variants, DRD4 and DRD2, explain variability in IJA in high-risk (n?=?55) and low-risk (n?=?38) siblings. IJA was assessed in the first year during a semi-structured interaction with an examiner. DRD4 and DRD2 genotypes were coded according to associated dopaminergic functioning to create a gene score, with higher scores indicating more genotypes associated with less efficient dopaminergic functioning. Higher dopamine gene scores (indicative of less efficient dopaminergic functioning) were associated with lower levels of IJA in the first year for high-risk siblings, while the opposite pattern emerged in low-risk siblings. Findings suggest differential susceptibility—IJA was differentially associated with dopaminergic functioning depending on familial ASD risk. Understanding genes linked to ASD-relevant behaviors in high-risk siblings will aid in early identification of children at greatest risk for difficulties in these behavioral domains, facilitating targeted prevention and intervention. En ligne : http://dx.doi.org/10.1002/aur.1623 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=297 [article] Dopaminergic variants in siblings at high risk for autism: Associations with initiating joint attention [Texte imprimé et/ou numérique] / Devon N. GANGI, Auteur ; Daniel S. MESSINGER, Auteur ; Eden R. MARTIN, Auteur ; Michael L. CUCCARO, Auteur . - p.1142-1150. Langues : Anglais (eng) in Autism Research > 9-11 (November 2016) . - p.1142-1150 Mots-clés : high-risk siblings  initiating joint attention  dopamine  differential susceptibility  autism spectrum disorder Index. décimale : PER Périodiques Résumé : Younger siblings of children with autism spectrum disorder (ASD; high-risk siblings) exhibit lower levels of initiating joint attention (IJA; sharing an object or experience with a social partner through gaze and/or gesture) than low-risk siblings of children without ASD. However, high-risk siblings also exhibit substantial variability in this domain. The neurotransmitter dopamine is linked to brain areas associated with reward, motivation, and attention, and common dopaminergic variants have been associated with attention difficulties. We examined whether these common dopaminergic variants, DRD4 and DRD2, explain variability in IJA in high-risk (n?=?55) and low-risk (n?=?38) siblings. IJA was assessed in the first year during a semi-structured interaction with an examiner. DRD4 and DRD2 genotypes were coded according to associated dopaminergic functioning to create a gene score, with higher scores indicating more genotypes associated with less efficient dopaminergic functioning. Higher dopamine gene scores (indicative of less efficient dopaminergic functioning) were associated with lower levels of IJA in the first year for high-risk siblings, while the opposite pattern emerged in low-risk siblings. Findings suggest differential susceptibility—IJA was differentially associated with dopaminergic functioning depending on familial ASD risk. Understanding genes linked to ASD-relevant behaviors in high-risk siblings will aid in early identification of children at greatest risk for difficulties in these behavioral domains, facilitating targeted prevention and intervention. En ligne : http://dx.doi.org/10.1002/aur.1623 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=297

Family History of Eating Disorder and the Broad Autism Phenotype in Autism / Bianca A. BARRIONUEVO in Autism Research, 13-9 (September 2020)  

Public ISBD [article]  inAutism Research > 13-9 (September 2020) . - p.1573-1581 Titre : Family History of Eating Disorder and the Broad Autism Phenotype in Autism Type de document : Texte imprimé et/ou numérique Auteurs : Bianca A. BARRIONUEVO, Auteur ; Aneesa R. CHOWDHURY, Auteur ; Joycelyn M. LEE, Auteur ; Nicole D. DUEKER, Auteur ; Eden R. MARTIN, Auteur ; Margaret A. O. PERICAK-VANCE, Auteur ; Michael L. CUCCARO, Auteur Article en page(s) : p.1573-1581 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Abstract Autism features occur frequently among individuals with eating disorders (ED). This co-occurrence is not well understood but there is speculation that select traits (e.g., rigidity) are common to both autism and ED. To explore the co-occurrence of autistic traits and ED features, we used the Simons Simplex Collection (SSC; N =?2,623 families) to test whether first-degree relatives of individuals with autism with a history of ED features had more autism traits, as measured by the Broad Autism Phenotype Questionnaire (BAP-Q), compared to relatives with no history of ED. The frequency of individuals with ED features was 2.2% (N =?57) among mothers, <1% in siblings, and not present in fathers. We restricted our analyses to mothers. Compared to mothers with no history of ED, those with a history of ED had significantly higher scores on the BAP-Q Total Score and each of the three BAP-Q domains. More importantly, when the BAP-Q was used as a classification tool, we found that when compared to mothers with no history of ED, those with a history of ED were most likely to fall into the clinically significant range on the BAP-Q Rigid domain. Our results suggest that a history of ED features among mothers of individuals with autism is associated with the presence of autistic traits. This extends previous work showing a relationship between autism and ED and expands the range of neuropsychiatric traits that have relevance to the BAP among family members of individuals with autism. Lay Summary Using information from the Simons Simplex Collection we tested whether mothers of individuals with autism with a history of eating disorder had more autism traits (i.e., similar to those in autism but milder) compared to mothers with no history of eating disorder. The most striking difference between the groups was the presence of rigidity in mothers with a history of eating disorder. This extends previous work showing a relationship between autism and eating disorders and suggests the utility of studying eating disorders in future family studies of autism. Autism Res 2020, 13: 1573–1581. © 2020 International Society for Autism Research, Wiley Periodicals, Inc. En ligne : http://dx.doi.org/10.1002/aur.2378 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=431 [article] Family History of Eating Disorder and the Broad Autism Phenotype in Autism [Texte imprimé et/ou numérique] / Bianca A. BARRIONUEVO, Auteur ; Aneesa R. CHOWDHURY, Auteur ; Joycelyn M. LEE, Auteur ; Nicole D. DUEKER, Auteur ; Eden R. MARTIN, Auteur ; Margaret A. O. PERICAK-VANCE, Auteur ; Michael L. CUCCARO, Auteur . - p.1573-1581. Langues : Anglais (eng) in Autism Research > 13-9 (September 2020) . - p.1573-1581 Index. décimale : PER Périodiques Résumé : Abstract Autism features occur frequently among individuals with eating disorders (ED). This co-occurrence is not well understood but there is speculation that select traits (e.g., rigidity) are common to both autism and ED. To explore the co-occurrence of autistic traits and ED features, we used the Simons Simplex Collection (SSC; N =?2,623 families) to test whether first-degree relatives of individuals with autism with a history of ED features had more autism traits, as measured by the Broad Autism Phenotype Questionnaire (BAP-Q), compared to relatives with no history of ED. The frequency of individuals with ED features was 2.2% (N =?57) among mothers, <1% in siblings, and not present in fathers. We restricted our analyses to mothers. Compared to mothers with no history of ED, those with a history of ED had significantly higher scores on the BAP-Q Total Score and each of the three BAP-Q domains. More importantly, when the BAP-Q was used as a classification tool, we found that when compared to mothers with no history of ED, those with a history of ED were most likely to fall into the clinically significant range on the BAP-Q Rigid domain. Our results suggest that a history of ED features among mothers of individuals with autism is associated with the presence of autistic traits. This extends previous work showing a relationship between autism and ED and expands the range of neuropsychiatric traits that have relevance to the BAP among family members of individuals with autism. Lay Summary Using information from the Simons Simplex Collection we tested whether mothers of individuals with autism with a history of eating disorder had more autism traits (i.e., similar to those in autism but milder) compared to mothers with no history of eating disorder. The most striking difference between the groups was the presence of rigidity in mothers with a history of eating disorder. This extends previous work showing a relationship between autism and eating disorders and suggests the utility of studying eating disorders in future family studies of autism. Autism Res 2020, 13: 1573–1581. © 2020 International Society for Autism Research, Wiley Periodicals, Inc. En ligne : http://dx.doi.org/10.1002/aur.2378 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=431

A noise-reduction GWAS analysis implicates altered regulation of neurite outgrowth and guidance in autism / John P. HUSSMAN in Molecular Autism, (January 2011)  

Public ISBD [article]  inMolecular Autism > (January 2011) . - 16 p. Titre : A noise-reduction GWAS analysis implicates altered regulation of neurite outgrowth and guidance in autism Type de document : Texte imprimé et/ou numérique Auteurs : John P. HUSSMAN, Auteur ; Ren-Hua CHUNG, Auteur ; Anthony J. GRISWOLD, Auteur ; James M. JAWORSKI, Auteur ; Daria SALYAKINA, Auteur ; Deqiong MA, Auteur ; Ioanna KONIDARI, Auteur ; Patrice L. WHITEHEAD, Auteur ; Jeffery M. VANCE, Auteur ; Eden R. MARTIN, Auteur ; Michael L. CUCCARO, Auteur ; John R. GILBERT, Auteur ; Jonathan L. HAINES, Auteur ; Margaret A. O. PERICAK-VANCE, Auteur Année de publication : 2011 Article en page(s) : 16 p. Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Background Genome-wide Association Studies (GWAS) have proved invaluable for the identification of disease susceptibility genes. However, the prioritization of candidate genes and regions for follow-up studies often proves difficult due to false-positive associations caused by statistical noise and multiple-testing. In order to address this issue, we propose the novel GWAS noise reduction (GWAS-NR) method as a way to increase the power to detect true associations in GWAS, particularly in complex diseases such as autism. Methods GWAS-NR utilizes a linear filter to identify genomic regions demonstrating correlation among association signals in multiple datasets. We used computer simulations to assess the ability of GWAS-NR to detect association against the commonly used joint analysis and Fisher's methods. Furthermore, we applied GWAS-NR to a family-based autism GWAS of 597 families and a second existing autism GWAS of 696 families from the Autism Genetic Resource Exchange (AGRE) to arrive at a compendium of autism candidate genes. These genes were manually annotated and classified by a literature review and functional grouping in order to reveal biological pathways which might contribute to autism aetiology. Results Computer simulations indicate that GWAS-NR achieves a significantly higher classification rate for true positive association signals than either the joint analysis or Fisher's methods and that it can also achieve this when there is imperfect marker overlap across datasets or when the closest disease-related polymorphism is not directly typed. In two autism datasets, GWAS-NR analysis resulted in 1535 significant linkage disequilibrium (LD) blocks overlapping 431 unique reference sequencing (RefSeq) genes. Moreover, we identified the nearest RefSeq gene to the non-gene overlapping LD blocks, producing a final candidate set of 860 genes. Functional categorization of these implicated genes indicates that a significant proportion of them cooperate in a coherent pathway that regulates the directional protrusion of axons and dendrites to their appropriate synaptic targets. Conclusions As statistical noise is likely to particularly affect studies of complex disorders, where genetic heterogeneity or interaction between genes may confound the ability to detect association, GWAS-NR offers a powerful method for prioritizing regions for follow-up studies. Applying this method to autism datasets, GWAS-NR analysis indicates that a large subset of genes involved in the outgrowth and guidance of axons and dendrites is implicated in the aetiology of autism. En ligne : http://dx.doi.org/10.1186/2040-2392-2-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=121 [article] A noise-reduction GWAS analysis implicates altered regulation of neurite outgrowth and guidance in autism [Texte imprimé et/ou numérique] / John P. HUSSMAN, Auteur ; Ren-Hua CHUNG, Auteur ; Anthony J. GRISWOLD, Auteur ; James M. JAWORSKI, Auteur ; Daria SALYAKINA, Auteur ; Deqiong MA, Auteur ; Ioanna KONIDARI, Auteur ; Patrice L. WHITEHEAD, Auteur ; Jeffery M. VANCE, Auteur ; Eden R. MARTIN, Auteur ; Michael L. CUCCARO, Auteur ; John R. GILBERT, Auteur ; Jonathan L. HAINES, Auteur ; Margaret A. O. PERICAK-VANCE, Auteur . - 2011 . - 16 p. Langues : Anglais (eng) in Molecular Autism > (January 2011) . - 16 p. Index. décimale : PER Périodiques Résumé : Background Genome-wide Association Studies (GWAS) have proved invaluable for the identification of disease susceptibility genes. However, the prioritization of candidate genes and regions for follow-up studies often proves difficult due to false-positive associations caused by statistical noise and multiple-testing. In order to address this issue, we propose the novel GWAS noise reduction (GWAS-NR) method as a way to increase the power to detect true associations in GWAS, particularly in complex diseases such as autism. Methods GWAS-NR utilizes a linear filter to identify genomic regions demonstrating correlation among association signals in multiple datasets. We used computer simulations to assess the ability of GWAS-NR to detect association against the commonly used joint analysis and Fisher's methods. Furthermore, we applied GWAS-NR to a family-based autism GWAS of 597 families and a second existing autism GWAS of 696 families from the Autism Genetic Resource Exchange (AGRE) to arrive at a compendium of autism candidate genes. These genes were manually annotated and classified by a literature review and functional grouping in order to reveal biological pathways which might contribute to autism aetiology. Results Computer simulations indicate that GWAS-NR achieves a significantly higher classification rate for true positive association signals than either the joint analysis or Fisher's methods and that it can also achieve this when there is imperfect marker overlap across datasets or when the closest disease-related polymorphism is not directly typed. In two autism datasets, GWAS-NR analysis resulted in 1535 significant linkage disequilibrium (LD) blocks overlapping 431 unique reference sequencing (RefSeq) genes. Moreover, we identified the nearest RefSeq gene to the non-gene overlapping LD blocks, producing a final candidate set of 860 genes. Functional categorization of these implicated genes indicates that a significant proportion of them cooperate in a coherent pathway that regulates the directional protrusion of axons and dendrites to their appropriate synaptic targets. Conclusions As statistical noise is likely to particularly affect studies of complex disorders, where genetic heterogeneity or interaction between genes may confound the ability to detect association, GWAS-NR offers a powerful method for prioritizing regions for follow-up studies. Applying this method to autism datasets, GWAS-NR analysis indicates that a large subset of genes involved in the outgrowth and guidance of axons and dendrites is implicated in the aetiology of autism. En ligne : http://dx.doi.org/10.1186/2040-2392-2-4 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=121

Targeted massively parallel sequencing of autism spectrum disorder-associated genes in a case control cohort reveals rare loss-of-function risk variants / Anthony J. GRISWOLD in Molecular Autism, (July 2015)  

Public ISBD [article]  inMolecular Autism > (July 2015) . - p.1-11 Titre : Targeted massively parallel sequencing of autism spectrum disorder-associated genes in a case control cohort reveals rare loss-of-function risk variants Type de document : Texte imprimé et/ou numérique Auteurs : Anthony J. GRISWOLD, Auteur ; Nicole D. DUEKER, Auteur ; Derek BOOVEN, Auteur ; Joseph A. RANTUS, Auteur ; James M. JAWORSKI, Auteur ; Susan H. SLIFER, Auteur ; Michael A. SCHMIDT, Auteur ; William HULME, Auteur ; Ioanna KONIDARI, Auteur ; Patrice L. WHITEHEAD, Auteur ; Michael L. CUCCARO, Auteur ; Eden R. MARTIN, Auteur ; Jonathan L. HAINES, Auteur ; John R. GILBERT, Auteur ; John P. HUSSMAN, Auteur ; Margaret A. O. PERICAK-VANCE, Auteur Article en page(s) : p.1-11 Langues : Anglais (eng) Index. décimale : PER Périodiques Résumé : Autism spectrum disorder (ASD) is highly heritable, yet genome-wide association studies (GWAS), copy number variation screens, and candidate gene association studies have found no single factor accounting for a large percentage of genetic risk. ASD trio exome sequencing studies have revealed genes with recurrent de novo loss-of-function variants as strong risk factors, but there are relatively few recurrently affected genes while as many as 1000 genes are predicted to play a role. As such, it is critical to identify the remaining rare and low-frequency variants contributing to ASD. En ligne : http://dx.doi.org/10.1186/s13229-015-0034-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=277 [article] Targeted massively parallel sequencing of autism spectrum disorder-associated genes in a case control cohort reveals rare loss-of-function risk variants [Texte imprimé et/ou numérique] / Anthony J. GRISWOLD, Auteur ; Nicole D. DUEKER, Auteur ; Derek BOOVEN, Auteur ; Joseph A. RANTUS, Auteur ; James M. JAWORSKI, Auteur ; Susan H. SLIFER, Auteur ; Michael A. SCHMIDT, Auteur ; William HULME, Auteur ; Ioanna KONIDARI, Auteur ; Patrice L. WHITEHEAD, Auteur ; Michael L. CUCCARO, Auteur ; Eden R. MARTIN, Auteur ; Jonathan L. HAINES, Auteur ; John R. GILBERT, Auteur ; John P. HUSSMAN, Auteur ; Margaret A. O. PERICAK-VANCE, Auteur . - p.1-11. Langues : Anglais (eng) in Molecular Autism > (July 2015) . - p.1-11 Index. décimale : PER Périodiques Résumé : Autism spectrum disorder (ASD) is highly heritable, yet genome-wide association studies (GWAS), copy number variation screens, and candidate gene association studies have found no single factor accounting for a large percentage of genetic risk. ASD trio exome sequencing studies have revealed genes with recurrent de novo loss-of-function variants as strong risk factors, but there are relatively few recurrently affected genes while as many as 1000 genes are predicted to play a role. As such, it is critical to identify the remaining rare and low-frequency variants contributing to ASD. En ligne : http://dx.doi.org/10.1186/s13229-015-0034-z Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=277

---

1 (1 - 5 / 5)