학술논문

Genomic regions associated with microdeletion/microduplication syndromes exhibit extreme diversity of structural variation
Document Type
article
Source
Genetics. 217(2)
Subject
Biological Sciences
Genetics
Human Genome
2.1 Biological and endogenous factors
Aetiology
Chromosome Breakpoints
Chromosome Deletion
Chromosome Disorders
Chromosomes
Human
Pair 15
Chromosomes
Human
Pair 16
Craniofacial Abnormalities
Developmental Disabilities
Genomic Structural Variation
Heart Defects
Congenital
Humans
Intellectual Disability
Mental Disorders
Segmental Duplications
Genomic
Seizures
Williams Syndrome
segmental duplications
genome mapping
structural variation
genomic disorders
Developmental Biology
Biochemistry and cell biology
Language
Abstract
Segmental duplications (SDs) are a class of long, repetitive DNA elements whose paralogs share a high level of sequence similarity with each other. SDs mediate chromosomal rearrangements that lead to structural variation in the general population as well as genomic disorders associated with multiple congenital anomalies, including the 7q11.23 (Williams-Beuren Syndrome, WBS), 15q13.3, and 16p12.2 microdeletion syndromes. Population-level characterization of SDs has generally been lacking because most techniques used for analyzing these complex regions are both labor and cost intensive. In this study, we have used a high-throughput technique to genotype complex structural variation with a single molecule, long-range optical mapping approach. We characterized SDs and identified novel structural variants (SVs) at 7q11.23, 15q13.3, and 16p12.2 using optical mapping data from 154 phenotypically normal individuals from 26 populations comprising five super-populations. We detected several novel SVs for each locus, some of which had significantly different prevalence between populations. Additionally, we localized the microdeletion breakpoints to specific paralogous duplicons located within complex SDs in two patients with WBS, one patient with 15q13.3, and one patient with 16p12.2 microdeletion syndromes. The population-level data presented here highlights the extreme diversity of large and complex SVs within SD-containing regions. The approach we outline will greatly facilitate the investigation of the role of inter-SD structural variation as a driver of chromosomal rearrangements and genomic disorders.