Study
De novo mutations in cell free foetal DNA cffDNA
| Study ID | Alternative Stable ID | Type |
|---|---|---|
| EGAS00001000322 | Whole Genome Sequencing |
Study Description
This project is to develop and validate a method to detect de novo mutations in a foetal genome through deep sequencing of cell-free DNA from the plasma of pregnant women.This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/
Study Datasets 2 datasets.
Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data
| Dataset ID | Description | Technology | Samples |
|---|---|---|---|
| EGAD00001000596 |
This project is to develop and validate a method to detect de novo mutations in a foetal genome through deep sequencing of cell-free DNA from the plasma of pregnant women.
This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/
|
Illumina HiSeq 2000 | 5 |
| EGAD00001002265 |
A pulldown experiment with Agilent SureSelect probes designed on regions that were more likely to contain de novo mutations. 266 candidate sites were selected based on whole genome sequencing data. The probes also included the exons of genes that have been identified as neurodevelopmental disorder genes in DDD (the DDG2P genes) 1,336 targets. In addition, the design included the standard iPLEX sites.
|
4 |
Who archives the data?
