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Updated: Apr 18, 2026

Detection of Copy Number Alterations Using Single Cell Sequencing
Published on: February 17, 2017
Large multiallelic copy number variations in humans
Robert E Handsaker1, Vanessa Van Doren1, Jennifer R Berman2
11] Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA. [2] Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA. [3] Department of Genetics, Harvard Medical School, Boston, Massachusetts, USA.
Multiallelic copy number variations (mCNVs) drive most human gene dosage variation, impacting gene expression. This study identifies numerous mCNVs and their alleles across thousands of genomes, revealing novel insights into genetic diversity.
Area of Science:
- Genomics
- Human Genetics
- Population Genetics
Background:
- Genomic segments vary widely in copy number across human genomes.
- Understanding copy number variations (CNVs) is crucial for comprehending human genetic diversity and its impact on gene dosage.
Purpose of the Study:
- To develop methods for identifying copy numbers, alleles, and haplotypes at large multiallelic CNVs (mCNVs) using whole-genome sequence data.
- To quantify the contribution of mCNVs to human gene dosage variation and gene expression.
Main Methods:
- Analysis of 849 genomes from the 1000 Genomes Project.
- Identification of large ( >5-kb) mCNVs, including duplications with multiple segregating alleles.
- Development of initial strategies for mCNV analysis via imputation.
Main Results:
- Identification of most large mCNVs, including 3,878 duplications, with 1,356 having 3 or more segregating alleles.
- mCNVs account for the majority of human gene dosage variation, exceeding deletions and biallelic duplications sevenfold.
- Discovery of 'runaway duplication haplotypes' for genes like HPR and ORM1.
Conclusions:
- mCNVs are a major source of human genetic variation influencing gene dosage and expression.
- The study provides a foundational dataset and analytical approaches for studying mCNVs.
- Further research into mCNVs and their functional consequences is warranted.
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