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DePalma, Steven

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DePalma

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Steven

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DePalma, Steven

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2006 - 200912010 - 20174

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Author's Publications: search.filters.isAuthorOfPublication.ed285398-4178-46b6-aeb9-0c3343d0b1ad

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Now showing 1 - 5 of 5
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    NKX2-5 Mutations in an Inbred Consanguineous Population: Genetic and Phenotypic Diversity
    (Nature Publishing Group, 2015) Abou Hassan, Ossama K.; Fahed, Akl; Batrawi, Manal; Arabi, Mariam; Refaat, Marwan M.; DePalma, Steven; Seidman, J. G.; Seidman, Christine; Bitar, Fadi F.; Nemer, Georges M.
    NKX2-5 mutations are associated with different forms of congenital heart disease. Despite the knowledge gained from molecular and animal studies, genotype-phenotype correlations in humans are limited by the lack of large cohorts and the incomplete assessment of family members. We hypothesized that studying the role of NKX2-5 in inbred populations with homogeneous genetic backgrounds and high consanguinity rates such as Lebanon could help closing this gap. We sequenced NKX2-5 in 188 index CHD cases (25 with ASD). Five variants (three segregated in families) were detected in eleven families including the previously documented p.R25C variant, which was found in seven patients from different families, and in one healthy individual. In 3/5 familial dominant ASD cases, we identified an NKX2-5 mutation. In addition to the heterogeneity of NKX2-5 mutations, a diversity of phenotypes occurred within the families with predominant ASD and AV block. We did in fact identify a large prevalence of Sudden Cardiac Death (SCD) in families with truncating mutations, and two patients with coronary sinus disease. NKX2-5 is thus responsible for dominant familial ASD even in consanguineous populations, and a wide genetic and phenotypic diversity is characteristic of NKX2-5 mutations in the Lebanese population.
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    Contribution of rare inherited and de novo variants in 2,871 congenital heart disease probands
    (2017) Jin, Sheng Chih; Homsy, Jason; Zaidi, Samir; Lu, Qiongshi; Morton, Sarah; DePalma, Steven; Zeng, Xue; Qi, Hongjian; Chang, Weni; Sierant, Michael C.; Hung, Wei-Chien; Haider, Shozeb; Zhang, Junhui; Knight, James; Bjornson, Robert D.; Castaldi, Christopher; Tikhonoa, Irina R.; Bilguvar, Kaya; Mane, Shrikant M.; Sanders, Stephan J.; Mital, Seema; Russell, Mark; Gaynor, William; Deanfield, John; Giardini, Alessandro; Porter, George A.; Srivastava, Deepak; Lo, Cecelia W.; Shen, Yufeng; Watkins, W. Scott; Yandell, Mark; Yost, H. Joseph; Tristani-Firouzi, Martin; Newburger, Jane W.; Roberts, Amy E.; Kim, Richard; Zhao, Hongyu; Kaltman, Jonathan R.; Goldmuntz, Elizabeth; Chung, Wendy K.; Seidman, Jonathan; Gelb, Bruce D.; Seidman, Christine; Lifton, Richard P.; Brueckner, Martina
    Congenital heart disease (CHD) is the leading cause of mortality from birth defects. Exome sequencing of a single cohort of 2,871 CHD probands including 2,645 parent-offspring trios implicated rare inherited mutations in 1.8%, including a recessive founder mutation in GDF1 accounting for ~5% of severe CHD in Ashkenazim, recessive genotypes in MYH6 accounting for ~11% of Shone complex, and dominant FLT4 mutations accounting for 2.3% of Tetralogy of Fallot. De novo mutations (DNMs) accounted for 8% of cases, including ~3% of isolated CHD patients and ~28% with both neurodevelopmental and extra-cardiac congenital anomalies. Seven genes surpassed thresholds for genome-wide significance and 12 genes not previously implicated in CHD had > 70% probability of being disease-related; DNMs in ~440 genes are inferred to contribute to CHD. There was striking overlap between genes with damaging DNMs in probands with CHD and autism.
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    De novo mutations in histone modifying genes in congenital heart disease
    (2013) Zaidi, Samir; Choi, Murim; Wakimoto, Hiroko; Ma, Lijiang; Jiang, Jianming; Overton, John D.; Romano-Adesman, Angela; Bjornson, Robert D.; Breitbart, Roger E.; Brown, Kerry K.; Carriero, Nicholas J.; Cheung, Yee Him; Deanfield, John; DePalma, Steven; Fakhro, Khalid A.; Glessner, Joseph; Hakonarson, Hakon; Italia, Michael; Kaltman, Jonathan R.; Kaski, Juan; Kim, Richard; Kline, Jennie K.; Lee, Teresa; Leipzig, Jeremy; Lopez, Alexander; Mane, Shrikant M.; Mitchell, Laura E.; Newburger, Jane W.; Parfenov, Michael; Pe'er, Itsik; Porter, George; Roberts, Amy; Sachidanandam, Ravi; Sanders, Stephan J.; Seiden, Howard S.; State, Mathew W.; Subramanian, Sailakshmi; Tikhonova, Irina R.; Wang, Wei; Warburton, Dorothy; White, Peter S.; Williams, Ismee A.; Zhao, Hongyu; Seidman, Jonathan; Brueckner, Martina; Chung, Wendy K.; Gelb, Bruce D.; Goldmuntz, Elizabeth; Seidman, Christine; Lifton, Richard P.
    Congenital heart disease (CHD) is the most frequent birth defect, affecting 0.8% of live births1. Many cases occur sporadically and impair reproductive fitness, suggesting a role for de novo mutations. By analysis of exome sequencing of parent-offspring trios, we compared the incidence of de novo mutations in 362 severe CHD cases and 264 controls. CHD cases showed a significant excess of protein-altering de novo mutations in genes expressed in the developing heart, with an odds ratio of 7.5 for damaging mutations. Similar odds ratios were seen across major classes of severe CHD. We found a marked excess of de novo mutations in genes involved in production, removal or reading of H3K4 methylation (H3K4me), or ubiquitination of H2BK120, which is required for H3K4 methylation2–4. There were also two de novo mutations in SMAD2; SMAD2 signaling in the embryonic left-right organizer induces demethylation of H3K27me5. H3K4me and H3K27me mark `poised' promoters and enhancers that regulate expression of key developmental genes6. These findings implicate de novo point mutations in several hundred genes that collectively contribute to ~10% of severe CHD.
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    Loss of RNA expression and allele-specific expression associated with congenital heart disease
    (Nature Publishing Group, 2016) McKean, David; Homsy, Jason; Wakimoto, Hiroko; Patel, Neil; Gorham, Joshua; DePalma, Steven; Ware, James S.; Zaidi, Samir; Ma, Wenji; Patel, Nihir; Lifton, Richard P.; Chung, Wendy K.; Kim, Richard; Shen, Yufeng; Brueckner, Martina; Goldmuntz, Elizabeth; Sharp, Andrew J.; Seidman, Christine; Gelb, Bruce D.; Seidman, J. G.
    Congenital heart disease (CHD), a prevalent birth defect occurring in 1% of newborns, likely results from aberrant expression of cardiac developmental genes. Mutations in a variety of cardiac transcription factors, developmental signalling molecules and molecules that modify chromatin cause at least 20% of disease, but most CHD remains unexplained. We employ RNAseq analyses to assess allele-specific expression (ASE) and biallelic loss-of-expression (LOE) in 172 tissue samples from 144 surgically repaired CHD subjects. Here we show that only 5% of known imprinted genes with paternal allele silencing are monoallelic versus 56% with paternal allele expression—this cardiac-specific phenomenon seems unrelated to CHD. Further, compared with control subjects, CHD subjects have a significant burden of both LOE genes and ASE events associated with altered gene expression. These studies identify FGFBP2, LBH, RBFOX2, SGSM1 and ZBTB16 as candidate CHD genes because of significantly altered transcriptional expression.
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    Phenotype-Genotype Association Grid: A Convenient Method for Summarizing Multiple Association Analyses
    (BioMed Central, 2006) Benjamin, Emelia J; Parise, Helen; Vasan, Ramachandran S; Izumo, Seigo; Larson, Martin G; Levy, Daniel; DePalma, Steven; O'Donnell, Christopher; Hirschhorn, Joel
    Background: High-throughput genotyping generates vast amounts of data for analysis; results can be difficult to summarize succinctly. A single project may involve genotyping many genes with multiple variants per gene and analyzing each variant in relation to numerous phenotypes, using several genetic models and population subgroups. Hundreds of statistical tests may be performed for a single SNP, thereby complicating interpretation of results and inhibiting identification of patterns of association. Results: To facilitate visual display and summary of large numbers of association tests of genetic loci with multiple phenotypes, we developed a Phenotype-Genotype Association (PGA) grid display. A database-backed web server was used to create PGA grids from phenotypic and genotypic data (sample sizes, means and standard errors, P-value for association). HTML pages were generated using Tcl scripts on an AOLserver platform, using an Oracle database, and the ArsDigita Community System web toolkit. The grids are interactive and permit display of summary data for individual cells by a mouse click (i.e. least squares means for a given SNP and phenotype, specified genetic model and study sample). PGA grids can be used to visually summarize results of individual SNP associations, gene-environment associations, or haplotype associations. Conclusion: The PGA grid, which permits interactive exploration of large numbers of association test results, can serve as an easily adapted common and useful display format for large-scale genetic studies. Doing so would reduce the problem of publication bias, and would simplify the task of summarizing large-scale association studies.