Comprehensive whole genome sequence analyses yields novel genetic and structural insights for Intellectual Disability
Background Intellectual Disability (ID) is among the most common global disorders, yet etiology is unknown in ~30% of patients despite clinical assessment. Whole genome sequencing (WGS) is able to interrogate the entire genome, providing potential to diagnose idiopathic patients. Methods We conducte...
Saved in:
| Published in | BMC genomics Vol. 18; no. 1; pp. 403 - 16 |
|---|---|
| Main Authors | , , , , , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
London
BioMed Central
24.05.2017
BioMed Central Ltd Springer Nature B.V BMC |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1471-2164 1471-2164 |
| DOI | 10.1186/s12864-017-3671-0 |
Cover
| Summary: | Background
Intellectual Disability (ID) is among the most common global disorders, yet etiology is unknown in ~30% of patients despite clinical assessment. Whole genome sequencing (WGS) is able to interrogate the entire genome, providing potential to diagnose idiopathic patients.
Methods
We conducted WGS on eight children with idiopathic ID and brain structural defects, and their normal parents; carrying out an extensive data analyses, using standard and discovery approaches.
Results
We verified
de novo
pathogenic single nucleotide variants (SNV) in
ARID1B c.1595delG
and
PHF6 c.820C > T
, potentially causative
de novo
two base indels in
SQSTM1 c.115_116delinsTA
and
UPF1 c.1576_1577delinsA,
and
de novo
SNVs in
CACNB3 c.1289G > A,
and
SPRY4 c.508 T > A,
of uncertain significance. We report results from a large secondary control study of 2081 exomes probing the pathogenicity of the above genes. We analyzed structural variation by four different algorithms including
de novo
genome assembly. We confirmed a likely contributory 165 kb
de novo
heterozygous 1q43 microdeletion missed by clinical microarray. The
de novo
assembly resulted in unmasking hidden genome instability that was missed by standard re-alignment based algorithms. We also interrogated regulatory sequence variation for known and hypothesized ID genes and present useful strategies for WGS data analyses for non-coding variation.
Conclusion
This study provides an extensive analysis of WGS in the context of ID, providing genetic and structural insights into ID and yielding diagnoses. |
|---|---|
| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| ISSN: | 1471-2164 1471-2164 |
| DOI: | 10.1186/s12864-017-3671-0 |