Title |
Placental methylome analysis from a prospective autism study
|
---|---|
Published in |
Molecular Autism, December 2016
|
DOI | 10.1186/s13229-016-0114-8 |
Pubmed ID | |
Authors |
Diane I. Schroeder, Rebecca J. Schmidt, Florence K. Crary-Dooley, Cheryl K. Walker, Sally Ozonoff, Daniel J. Tancredi, Irva Hertz-Picciotto, Janine M. LaSalle |
Abstract |
Autism spectrum disorders (ASD) are increasingly prevalent neurodevelopmental disorders that are behaviorally diagnosed in early childhood. Most ASD cases likely arise from a complex mixture of genetic and environmental factors, an interface where the epigenetic marks of DNA methylation may be useful as risk biomarkers. The placenta is a potentially useful surrogate tissue characterized by a methylation pattern of partially methylated domains (PMDs) and highly methylated domains (HMDs) reflective of methylation patterns observed in the early embryo. In this study, we investigated human term placentas from the MARBLES (Markers of Autism Risk in Babies: Learning Early Signs) prospective study by whole genome bisulfite sequencing. We also examined the utility of PMD/HMDs in detecting methylation differences consistent with ASD diagnosis at age three. We found that while human placental methylomes have highly reproducible PMD and HMD locations, there is a greater variation between individuals in methylation levels over PMDs than HMDs due to both sampling and individual variability. In a comparison of methylation differences in placental samples from 24 ASD and 23 typically developing (TD) children, a HMD containing a putative fetal brain enhancer near DLL1 was found to reach genome-wide significance and was validated for significantly higher methylation in ASD by pyrosequencing. These results suggest that the placenta could be an informative surrogate tissue for predictive ASD biomarkers in high-risk families. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 2 | 25% |
Canada | 1 | 13% |
United States | 1 | 13% |
United Kingdom | 1 | 13% |
Unknown | 3 | 38% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 63% |
Practitioners (doctors, other healthcare professionals) | 2 | 25% |
Scientists | 1 | 13% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 98 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 14 | 14% |
Researcher | 13 | 13% |
Student > Bachelor | 9 | 9% |
Student > Master | 7 | 7% |
Student > Doctoral Student | 6 | 6% |
Other | 23 | 23% |
Unknown | 26 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 16 | 16% |
Biochemistry, Genetics and Molecular Biology | 14 | 14% |
Medicine and Dentistry | 9 | 9% |
Neuroscience | 7 | 7% |
Agricultural and Biological Sciences | 6 | 6% |
Other | 17 | 17% |
Unknown | 29 | 30% |