Title |
Whole genome bisulfite sequencing of cell-free DNA and its cellular contributors uncovers placenta hypomethylated domains
|
---|---|
Published in |
Genome Biology, April 2015
|
DOI | 10.1186/s13059-015-0645-x |
Pubmed ID | |
Authors |
Taylor J Jensen, Sung K Kim, Zhanyang Zhu, Christine Chin, Claudia Gebhard, Tim Lu, Cosmin Deciu, Dirk van den Boom, Mathias Ehrich |
Abstract |
Circulating cell-free fetal DNA has enabled non-invasive prenatal fetal aneuploidy testing without direct discrimination of the maternal and fetal DNA. Testing may be improved by specifically enriching the sample material for fetal DNA. DNA methylation may allow for such a separation of DNA; however, this depends on knowledge of the methylomes of circulating cell-free DNA and its cellular contributors. We perform whole genome bisulfite sequencing on a set of unmatched samples including circulating cell-free DNA from non-pregnant and pregnant female donors and genomic DNA from maternal buffy coat and placenta samples. We find CpG cytosines within longer fragments are more likely to be methylated. Comparison of the methylomes of placenta and non-pregnant circulating cell-free DNA reveal many of the 51,259 identified differentially methylated regions are located in domains exhibiting consistent placenta hypomethylation across millions of consecutive bases. We find these placenta hypomethylated domains are consistently located within regions exhibiting low CpG and gene density. Differentially methylated regions identified when comparing placenta to non-pregnant circulating cell-free DNA are recapitulated in pregnant circulating cell-free DNA, confirming the ability to detect differential methylation in circulating cell-free DNA mixtures. We generate methylome maps for four sample types at single-base resolution, identify a link between DNA methylation and fragment length in circulating cell-free DNA, identify differentially methylated regions between sample groups, and uncover the presence of megabase-size placenta hypomethylated domains. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 33% |
United Kingdom | 2 | 13% |
Andorra | 1 | 7% |
India | 1 | 7% |
Unknown | 6 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 9 | 60% |
Scientists | 4 | 27% |
Science communicators (journalists, bloggers, editors) | 2 | 13% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 2% |
Indonesia | 1 | <1% |
Korea, Republic of | 1 | <1% |
Canada | 1 | <1% |
Ireland | 1 | <1% |
China | 1 | <1% |
Belgium | 1 | <1% |
Unknown | 108 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 36 | 31% |
Student > Ph. D. Student | 24 | 21% |
Student > Bachelor | 9 | 8% |
Student > Master | 8 | 7% |
Other | 8 | 7% |
Other | 11 | 9% |
Unknown | 20 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 37 | 32% |
Agricultural and Biological Sciences | 28 | 24% |
Medicine and Dentistry | 14 | 12% |
Computer Science | 4 | 3% |
Engineering | 3 | 3% |
Other | 8 | 7% |
Unknown | 22 | 19% |