RESUMO
Contactin genes CNTN5 and CNTN6 code for neuronal cell adhesion molecules that promote neurite outgrowth in sensory-motor neuronal pathways. Mutations of CNTN5 and CNTN6 have previously been reported in individuals with autism spectrum disorders (ASDs), but very little is known on their prevalence and clinical impact. In this study, we identified CNTN5 and CNTN6 deleterious variants in individuals with ASD. Among the carriers, a girl with ASD and attention-deficit/hyperactivity disorder was carrying five copies of CNTN5. For CNTN6, both deletions (6/1534 ASD vs 1/8936 controls; P=0.00006) and private coding sequence variants (18/501 ASD vs 535/33480 controls; P=0.0005) were enriched in individuals with ASD. Among the rare CNTN6 variants, two deletions were transmitted by fathers diagnosed with ASD, one stop mutation CNTN6W923X was transmitted by a mother to her two sons with ASD and one variant CNTN6P770L was found de novo in a boy with ASD. Clinical investigations of the patients carrying CNTN5 or CNTN6 variants showed that they were hypersensitive to sounds (a condition called hyperacusis) and displayed changes in wave latency within the auditory pathway. These results reinforce the hypothesis of abnormal neuronal connectivity in the pathophysiology of ASD and shed new light on the genes that increase risk for abnormal sensory perception in ASD.
Assuntos
Percepção Auditiva/genética , Transtorno do Espectro Autista/genética , Contactinas/genética , Adolescente , Adulto , Transtorno do Deficit de Atenção com Hiperatividade/genética , Transtorno do Espectro Autista/metabolismo , Criança , Contactinas/metabolismo , Variações do Número de Cópias de DNA , Feminino , Predisposição Genética para Doença , Humanos , Masculino , Mutação , Polimorfismo de Nucleotídeo ÚnicoRESUMO
BACKGROUND: Inactivation of the maternally or paternally derived X chromosome (XCI) initially occurs in a random manner in early development; however as tissues form, a 'patchiness' will occur in terms of which X is inactivated if cells positioned near each other are clonally descended from a common precursor. Determining the relationship between skewed XCI in different tissues and in different samples from the same tissue provides a molecular assessment of the developmental history of a particular tissue that can then be used to understand how genetic and epigenetic variation arises in development. METHODS: XCI skewing was evaluated in and compared between amnion, chorion, trophoblast and mesenchyme using multiple sampling sites from 14 term placentae. XCI was also evaluated in chorionic villus samples obtained at multiple sites and depths from four additional term placentae. The pattern of variation was then compared with methylation variation associated with the H19/IGF2 imprinting control region (ICR); promoter regions of KISS1, PTPN6, CASP8 and APC; and LINE-1 elements. RESULTS: Mean placental level of skewing for amnion and chorion are correlated, consistent with a common developmental origin of at least a component of these membranes from inner cell mass derivatives subsequent to XCI, while trophoblast appears to be derived independently, consistent with its origin from the trophectoderm. Villus samples taken from different depths spanning the fetal to maternal side of the placenta were highly clonally related. Comparing patterns of clonal growth identified through XCI to the distribution of epigenetic variation in other genomic regions suggests that some variation arises early in development (e.g. LINE-1 methylation), whereas other variation arises predominantly after villus tree formation (e.g. methylation at H19/IGF2 ICR). CONCLUSIONS: The patterns of XCI skewing are consistent with a model whereby each biopsied site of chorionic villi represents one or a few individual villus trees, each of which is clonally derived from only one or a few precursor cells. Sampling of placentae to evaluate changes associated with clinical pathology should be done with consideration of the tree-to-tree differences. A limitation of this study is the small number of placentas used and therefore placental-specific differences in variation could not be assessed.
Assuntos
Epigênese Genética/genética , Variação Genética/genética , Placentação/genética , Inativação do Cromossomo X/genética , Amostra da Vilosidade Coriônica , Metilação de DNA , Feminino , Humanos , Recém-Nascido , GravidezRESUMO
An imbalance of imprinted gene expression within 11p15.5 is observed in Beckwith-Wiedemann syndrome (BWS), as well as in a variety of placental abnormalities including complete hydatidiform mole (CHM), placental mesenchymal dysplasia (PMD) and triploidy. To facilitate the diagnosis of epigenetic errors and chromosomal imbalance of 11p15.5, we validated a pyrosequencing assay to measure methylation at KvDMR1 using blood samples from 13 BWS cases, 8 of which showed reduced methylation as compared to control blood. An imbalance between maternal and paternal genomes as is found in triploidy, CHM or PMD was also associated with altered KvDMR1 methylation. A reciprocal pattern of methylation was obtained in the triploid cases by assaying the proximal 11p15.5 ICR associated with H19. To distinguish chromosome 11 specific alterations from whole genome imbalance, other imprinted differentially methylated regions (DMRs) can be utilized. Thus, pyrosequencing assays for DMRs associated with SGCE, SNRPN, and MEST were also compared for their utility in diagnosing parental imbalance in placental samples. While each of these assays could successfully distinguish parental origin of triploidy, SGCE showed the clearest separation between groups. The combined use of a chromosome 11p15.5 assay (e.g. KvDMR1 or H19-ICR) and non-chromosome 11 assay (e.g. SGCE) provides a potentially valuable diagnostic tool in the rapid screening of methylation errors in placental disorders. These results also show the maintenance of imprinting status at these loci in the human placenta, even in the presence of abnormal pathology.
Assuntos
Metilação de DNA , Doenças Fetais/diagnóstico , Impressão Genômica , Técnicas de Diagnóstico Molecular/métodos , Doenças Placentárias/diagnóstico , Cromossomos Humanos Par 11/genética , Feminino , Humanos , Canais de Potássio de Abertura Dependente da Tensão da Membrana/genética , Gravidez , Análise de Sequência de DNA/métodosRESUMO
Identification of genetic biomarkers associated with autism spectrum disorders (ASDs) could improve recurrence prediction for families with a child with ASD. Here, we describe clinical microarray findings for 253 longitudinally phenotyped ASD families from the Baby Siblings Research Consortium (BSRC), encompassing 288 infant siblings. By age 3, 103 siblings (35.8%) were diagnosed with ASD and 54 (18.8%) were developing atypically. Thirteen siblings have copy number variants (CNVs) involving ASD-relevant genes: 6 with ASD, 5 atypically developing, and 2 typically developing. Within these families, an ASD-related CNV in a sibling has a positive predictive value (PPV) for ASD or atypical development of 0.83; the Simons Simplex Collection of ASD families shows similar PPVs. Polygenic risk analyses suggest that common genetic variants may also contribute to ASD. CNV findings would have been pre-symptomatically predictive of ASD or atypical development in 11 (7%) of the 157 BSRC siblings who were eventually diagnosed clinically.
Assuntos
Transtorno do Espectro Autista/genética , Variações do Número de Cópias de DNA , Predisposição Genética para Doença/genética , Genoma Humano/genética , Genômica/métodos , Irmãos , Transtorno do Espectro Autista/diagnóstico , Pré-Escolar , Saúde da Família , Feminino , Humanos , Masculino , Linhagem , Fenótipo , Fatores de RiscoRESUMO
Genetic and epigenetic studies of the human placenta can help to clarify the underlying mechanisms of placenta-associated diseases. However, such studies have also revealed a considerable degree of within- and between-placenta variability, which can be attributed to a variety of influences. We illustrate the inherent heterogeneity in the placenta using examples from two types of studies: 1) chromosomal mosaicism and 2) DNA methylation variation. We discuss the factors that may influence the distribution of variation and how, understanding the source of this variation is important for interpreting data used to investigate and predict clinical outcomes.