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Theru A Sivakumaran,
Robert P Igo,
Jeffrey M Kidd, Andy Itsara,
Laura J Kopplin,
Wei Chen,
Stephanie A Hagstrom,
Neal S Peachey,
Peter J Francis,
Michael L Klein, [......],
Lingam Vijaya,
Govindasamy Kumaramanickavel,
Tien Y Wong,
Anand Swaroop,
Goncalo R Abecasis,
Ronald Klein,
Barbara E K Klein,
Deborah A Nickerson,
Evan E Eichler,
Sudha K Iyengar
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ABSTRACT: Complement factor H shows very strong association with Age-related Macular Degeneration (AMD), and recent data suggest that multiple causal variants are associated with disease. To refine the location of the disease associated variants, we characterized in detail the structural variation at CFH and its paralogs, including two copy number polymorphisms (CNP), CNP147 and CNP148, and several rare deletions and duplications. Examination of 34 AMD-enriched extended families (N = 293) and AMD cases (White N = 4210 Indian = 134; Malay = 140) and controls (White N = 3229; Indian = 117; Malay = 2390) demonstrated that deletion CNP148 was protective against AMD, independent of SNPs at CFH. Regression analysis of seven common haplotypes showed three haplotypes, H1, H6 and H7, as conferring risk for AMD development. Being the most common haplotype H1 confers the greatest risk by increasing the odds of AMD by 2.75-fold (95% CI = [2.51, 3.01]; p = 8.31×10(-109)); Caucasian (H6) and Indian-specific (H7) recombinant haplotypes increase the odds of AMD by 1.85-fold (p = 3.52×10(-9)) and by 15.57-fold (P = 0.007), respectively. We identified a 32-kb region downstream of Y402H (rs1061170), shared by all three risk haplotypes, suggesting that this region may be critical for AMD development. Further analysis showed that two SNPs within the 32 kb block, rs1329428 and rs203687, optimally explain disease association. rs1329428 resides in 20 kb unique sequence block, but rs203687 resides in a 12 kb block that is 89% similar to a noncoding region contained in ΔCNP148. We conclude that causal variation in this region potentially encompasses both regulatory effects at single markers and copy number.
PLoS ONE 01/2011; 6(10):e25598. · 4.09 Impact Factor
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ABSTRACT: While copy number variation (CNV) is an active area of research, de novo mutation rates within human populations are not well characterized. By focusing on large (>100 kbp) events, we estimate the rate of de novo CNV formation in humans by analyzing 4394 transmissions from human pedigrees with and without neurocognitive disease. We show that a significant limitation in directly measuring genome-wide CNV mutation is accessing DNA derived from primary tissues as opposed to cell lines. We conservatively estimated the genome-wide CNV mutation rate using single nucleotide polymorphism (SNP) microarrays to analyze whole-blood derived DNA from asthmatic trios, a collection in which we observed no elevation in the prevalence of large CNVs. At a resolution of ∼30 kb, nine de novo CNVs were observed from 772 transmissions, corresponding to a mutation rate of μ = 1.2 × 10(-2) CNVs per genome per transmission (μ = 6.5 × 10(-3) for CNVs >500 kb). Combined with previous estimates of CNV prevalence and assuming a model of mutation-selection balance, we estimate significant purifying selection for large (>500 kb) events at the genome-wide level to be s = 0.16. Supporting this, we identify de novo CNVs in 717 multiplex autism pedigrees from the AGRE collection and observe a fourfold enrichment (P = 1.4 × 10(-3)) for de novo CNVs in cases of multiplex autism versus unaffected siblings, suggesting that many de novo CNV mutations contribute a subtle, but significant risk for autism. We observe no parental bias in the origin or transmission of CNVs among any of the cohorts studied.
Genome Research 11/2010; 20(11):1469-81. · 13.61 Impact Factor
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Santhosh Girirajan,
Jill A Rosenfeld,
Gregory M Cooper,
Francesca Antonacci,
Priscillia Siswara, Andy Itsara,
Laura Vives,
Tom Walsh,
Shane E McCarthy,
Carl Baker, [......],
Eric Haan,
Kathryn L Friend,
Marco Fichera,
Corrado Romano,
Jozef Gécz,
Lynn E DeLisi,
Jonathan Sebat,
Mary-Claire King,
Lisa G Shaffer,
Evan E Eichler
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ABSTRACT: We report the identification of a recurrent, 520-kb 16p12.1 microdeletion associated with childhood developmental delay. The microdeletion was detected in 20 of 11,873 cases compared with 2 of 8,540 controls (P = 0.0009, OR = 7.2) and replicated in a second series of 22 of 9,254 cases compared with 6 of 6,299 controls (P = 0.028, OR = 2.5). Most deletions were inherited, with carrier parents likely to manifest neuropsychiatric phenotypes compared to non-carrier parents (P = 0.037, OR = 6). Probands were more likely to carry an additional large copy-number variant when compared to matched controls (10 of 42 cases, P = 5.7 x 10(-5), OR = 6.6). The clinical features of individuals with two mutations were distinct from and/or more severe than those of individuals carrying only the co-occurring mutation. Our data support a two-hit model in which the 16p12.1 microdeletion both predisposes to neuropsychiatric phenotypes as a single event and exacerbates neurodevelopmental phenotypes in association with other large deletions or duplications. Analysis of other microdeletions with variable expressivity indicates that this two-hit model might be more generally applicable to neuropsychiatric disease.
Nature Genetics 02/2010; 42(3):203-9. · 35.53 Impact Factor
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Andy Itsara,
Gregory M Cooper,
Carl Baker,
Santhosh Girirajan,
Jun Li,
Devin Absher,
Ronald M Krauss,
Richard M Myers,
Paul M Ridker,
Daniel I Chasman,
Heather Mefford,
Phyllis Ying,
Deborah A Nickerson,
Evan E Eichler
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ABSTRACT: Copy number variants (CNVs) contribute to human genetic and phenotypic diversity. However, the distribution of larger CNVs in the general population remains largely unexplored. We identify large variants in approximately 2500 individuals by using Illumina SNP data, with an emphasis on "hotspots" prone to recurrent mutations. We find variants larger than 500 kb in 5%-10% of individuals and variants greater than 1 Mb in 1%-2%. In contrast to previous studies, we find limited evidence for stratification of CNVs in geographically distinct human populations. Importantly, our sample size permits a robust distinction between truly rare and polymorphic but low-frequency copy number variation. We find that a significant fraction of individual CNVs larger than 100 kb are rare and that both gene density and size are strongly anticorrelated with allele frequency. Thus, although large CNVs commonly exist in normal individuals, which suggests that size alone can not be used as a predictor of pathogenicity, such variation is generally deleterious. Considering these observations, we combine our data with published CNVs from more than 12,000 individuals contrasting control and neurological disease collections. This analysis identifies known disease loci and highlights additional CNVs (e.g., 3q29, 16p12, and 15q25.2) for further investigation. This study provides one of the first analyses of large, rare (0.1%-1%) CNVs in the general population, with insights relevant to future analyses of genetic disease.
The American Journal of Human Genetics 02/2009; 84(2):148-61. · 10.60 Impact Factor
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Heather C Mefford,
Andrew J Sharp,
Carl Baker, Andy Itsara,
Zhaoshi Jiang,
Karen Buysse,
Shuwen Huang,
Viv K Maloney,
John A Crolla,
Diana Baralle, [......],
Jonathan Sebat,
Corrado Romano,
Charles E Schwartz,
Joris A Veltman,
Bert B A de Vries,
Joris R Vermeesch,
John C K Barber,
Lionel Willatt,
May Tassabehji,
Evan E Eichler
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ABSTRACT: Duplications and deletions in the human genome can cause disease or predispose persons to disease. Advances in technologies to detect these changes allow for the routine identification of submicroscopic imbalances in large numbers of patients.
We tested for the presence of microdeletions and microduplications at a specific region of chromosome 1q21.1 in two groups of patients with unexplained mental retardation, autism, or congenital anomalies and in unaffected persons.
We identified 25 persons with a recurrent 1.35-Mb deletion within 1q21.1 from screening 5218 patients. The microdeletions had arisen de novo in eight patients, were inherited from a mildly affected parent in three patients, were inherited from an apparently unaffected parent in six patients, and were of unknown inheritance in eight patients. The deletion was absent in a series of 4737 control persons (P=1.1x10(-7)). We found considerable variability in the level of phenotypic expression of the microdeletion; phenotypes included mild-to-moderate mental retardation, microcephaly, cardiac abnormalities, and cataracts. The reciprocal duplication was enriched in nine children with mental retardation or autism spectrum disorder and other variable features (P=0.02). We identified three deletions and three duplications of the 1q21.1 region in an independent sample of 788 patients with mental retardation and congenital anomalies.
We have identified recurrent molecular lesions that elude syndromic classification and whose disease manifestations must be considered in a broader context of development as opposed to being assigned to a specific disease. Clinical diagnosis in patients with these lesions may be most readily achieved on the basis of genotype rather than phenotype.
New England Journal of Medicine 10/2008; 359(16):1685-99. · 53.30 Impact Factor
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ABSTRACT: Copy-number variants (CNVs) occur frequently within the human genome, and may be associated with many human phenotypes. If disease association studies of CNVs are to be performed routinely, it is essential that the copy-number status be accurately genotyped. We systematically assessed the dynamic range response of an oligonucleotide microarray platform to accurately predict copy-number in a set of seven patients who had previously been shown to carry between 1 and 6 copies of an approximately 4 Mb region of 15q12.2-q13.1. We identify probe uniqueness, probe length, uniformity of probe melting temperature, overlap with SNPs and common repeats (particularly Alu elements) and guanine homopolymer content as parameters that significantly affect probe performance. Further, we prove the influence of these criteria on array performance by using these parameters to prospectively filter data from a second array design covering an independent genomic region and observing significant improvements in data quality. The informed selection of probes which have superior performance characteristics allows the prospective design of oligonucleotide arrays which show increased sensitivity and specificity compared with current designs. Although based on the analysis of data from comparative genomic hybridization experiments, we anticipate that our results are relevant to the design of improved oligonucleotide arrays for high-throughput copy-number genotyping of complex regions of the human genome.
Human Molecular Genetics 12/2007; 16(22):2770-9. · 7.64 Impact Factor
