Large multiallelic copy number variations in humans
نویسندگان
چکیده
منابع مشابه
Human subtelomeric copy number variations.
Copy number variation is a defining characteristic of human subtelomeres. Human subtelomeric segmental duplication regions ('Subtelomeric Repeats') comprise about 25% of the most distal 500 kb and 80% of the most distal 100 kb in human DNA. Huge allelic disparities seen in subtelomeric DNA sequence content and organization are postulated to have an impact on the dosage of transcripts embedded w...
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Genome-wide screenings for copy number variations (CNVs) in patients with schizophrenia have demonstrated the presence of several CNVs that increase the risk of developing the disease and a growing number of large rare CNVs; the contribution of these rare CNVs to schizophrenia remains unknown. Using Affymetrix 6.0 arrays, we undertook a systematic search for CNVs in 172 patients with schizophre...
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Common neurodevelopmental disorders (including autism, speech and language delay, schizophrenia, epilepsy and intellectual disability) have complex aetiology, which is predominantly genomic, but also environmental in origin. They share a paradox, in that high heritability is matched by lowered fecundity, placing them under negative genetic selection. This implicates variants of recent origin, s...
متن کاملModeling genetic inheritance of copy number variations
Copy number variations (CNVs) are being used as genetic markers or functional candidates in gene-mapping studies. However, unlike single nucleotide polymorphism or microsatellite genotyping techniques, most CNV detection methods are limited to detecting total copy numbers, rather than copy number in each of the two homologous chromosomes. To address this issue, we developed a statistical framew...
متن کاملCNVcaller: highly efficient and widely applicable software for detecting copy number variations in large populations
Background The increasing amount of sequencing data available for a wide variety of species can be theoretically used for detecting copy number variations (CNVs) at the population level. However, the growing sample sizes and the divergent complexity of nonhuman genomes challenge the efficiency and robustness of current human-oriented CNV detection methods. Results Here, we present CNVcaller, ...
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ژورنال
عنوان ژورنال: Nature Genetics
سال: 2015
ISSN: 1061-4036,1546-1718
DOI: 10.1038/ng.3200