[Show abstract][Hide abstract] ABSTRACT: Defective lysosomal acid β-glucosidase (GCase) in Gaucher disease causes accumulation of glucosylceramide (GC) and glucosylsphingosine (GS) that distress cellular functions. To study novel pathological mechanisms in neuronopathic Gaucher disease (nGD), a mouse model (4L;C*), an analogue to sub-acute human nGD, was investigated for global profiles of differentially expressed brain mRNAs (DEGs) and miRNAs (DEmiRs). 4L;C* mice displayed accumulation of GC and GS, activated microglial cells, reduced number of neurons and aberrant mitochondrial function in the brain followed by deterioration in motor function. DEGs and DEmiRs were characterized from sequencing of mRNA and miRNA from cerebral cortex, brain stem, midbrain and cerebellum of 4L;C* mice. Gene ontology enrichment and pathway analysis showed preferential mitochondrial dysfunction in midbrain and uniform inflammatory response and identified novel pathways, axonal guidance signaling, synaptic transmission, eIF2 and mTOR signaling potentially involved in nGD. Similar analyses were performed with mice treated with isofagomine, a pharmacologic chaperone for GCase. Isofagomine treatment did not alter the GS and GC accumulation significantly but attenuated the progression of the disease and altered numerous DEmiRs and target DEGs to their respective normal levels in inflammation, mitochondrial function and axonal guidance pathways, suggesting its regulation on miRNA and the associated mRNA that underlie the neurodegeneration in nGD. These analyses demonstrate that the neurodegenerative phenotype in 4L;C* mice was associated with dysregulation of brain mRNAs and miRNAs in axonal guidance, synaptic plasticity, mitochondria function, eIF2 and mTOR signaling and inflammation and provides new insights for the nGD pathological mechanism.
Human Molecular Genetics 09/2015; DOI:10.1093/hmg/ddv404 · 6.39 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: There are limited reports of the use of whole exome sequencing (WES) as a clinical diagnostic tool. Moreover, there are no reports addressing the cost burden associated with genetic tests performed prior to WES.
We demonstrate the performance characteristics of WES in a pediatric setting by describing our patient cohort, calculating the diagnostic yield, and detailing the patients for whom clinical management was altered. Moreover, we examined the potential cost-effectiveness of WES by examining the cost burden of diagnostic workups.
To determine the clinical utility of our hospital's clinical WES, we performed a retrospective review of the first 40 cases. We utilized dual bioinformatics analyses pipelines based on commercially available software and in-house tools.
Of the first 40 clinical cases, we identified genetic defects in 12 (30%) patients, of which 47% of the mutations were previously unreported in the literature. Among the 12 patients with positive findings, seven have autosomal dominant disease and five have autosomal recessive disease. Ninety percent of the cohort opted to receive secondary findings and of those, secondary medical actionable results were returned in three cases. Among these positive cases, there are a number of novel mutations that are being reported here. The diagnostic workup included a significant number of genetic tests with microarray and single-gene sequencing being the most popular tests. Significantly, genetic diagnosis from WES led to altered patient medical management in positive cases.
We demonstrate the clinical utility of WES by establishing the clinical diagnostic rate and its impact on medical management in a large pediatric center. The cost-effectiveness of WES was demonstrated by ending the diagnostic odyssey in positive cases. Also, in some cases it may be most cost-effective to directly perform WES. WES provides a unique glimpse into the complexity of genetic disorders.
Frontiers in Pediatrics 09/2015; 3. DOI:10.3389/fped.2015.00067
[Show abstract][Hide abstract] ABSTRACT: Hydraulic fracturing and horizontal drilling have increased dramatically in Pennsylvania Marcellus shale formations, however the potential for major environmental impacts are still incompletely understood. High-throughput sequencing of the 16S rRNA gene was performed to characterize the microbial community structure of water, sediment, bryophyte, and biofilm samples from 26 headwater stream sites in northwestern Pennsylvania with different histories of fracking activity within Marcellus shale formations. Further, we describe the relationship between microbial community structure and environmental parameters measured. Approximately 3.2 million 16S rRNA gene sequences were retrieved from a total of 58 samples. Microbial community analyses showed significant reductions in species richness as well as evenness in sites with Marcellus shale activity. Beta diversity analyses revealed distinct microbial community structure between sites with and without Marcellus shale activity. For example, operational taxonomic units (OTUs) within the Acetobacteracea, Methylocystaceae, Acidobacteriaceae, and Phenylobacterium were greater than three log-fold more abundant in MSA+ sites as compared to MSA- sites. Further, several of these OTUs were strongly negatively correlated with pH and positively correlated with the number of wellpads in a watershed. It should be noted that many of the OTUs enriched in MSA+ sites are putative acidophilic and/or methanotrophic populations. This study revealed apparent shifts in the autochthonous microbial communities and highlighted potential members that could be responding to changing stream conditions as a result of nascent industrial activity in these aquatic ecosystems.
Frontiers in Microbiology 11/2014; 5:522. DOI:10.3389/fmicb.2014.00522 · 3.99 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: Background:
Bicuspid aortic valve (BAV) is the most common congenital cardiovascular malformation. Although highly heritable, few causal variants have been identified. The purpose of this study was to identify genetic variants underlying BAV by whole exome sequencing a multiplex BAV kindred.
Methods and results:
Whole exome sequencing was performed on 17 individuals from a single family (BAV=3; other cardiovascular malformation, 3). Postvariant calling error control metrics were established after examining the relationship between Mendelian inheritance error rate and coverage, quality score, and call rate. To determine the most effective approach to identifying susceptibility variants from among 54 674 variants passing error control metrics, we evaluated 3 variant selection strategies frequently used in whole exome sequencing studies plus extended family linkage. No putative rare, high-effect variants were identified in all affected but no unaffected individuals. Eight high-effect variants were identified by ≥2 of the commonly used selection strategies; however, these were either common in the general population (>10%) or present in the majority of the unaffected family members. However, using extended family linkage, 3 synonymous variants were identified; all 3 variants were identified by at least one other strategy.
These results suggest that traditional whole exome sequencing approaches, which assume causal variants alter coding sense, may be insufficient for BAV and other complex traits. Identification of disease-associated variants is facilitated by the use of segregation within families.
[Show abstract][Hide abstract] ABSTRACT: Background Genome wide association studies (GWAS) have been hugely successful in identifying susceptibility loci for autoimmune diseases. One interesting outcome of GWAS is the observation that many of the loci are shared across these diseases. The regions identified now require more detailed fine-mapping to localize the association signal and identify putative functional variants. The Immunochip consortium was established to pool confirmed loci from 12 diseases onto a custom genotyping chip investigating ∼200 established autoimmune susceptibility loci. For each locus, all known genetic variation from multiple sources was included. Juvenile idiopathic arthritis (JIA) is the most common arthritic disease of childhood. Candidate gene studies have identified a number of common autoimmune genes that confer susceptibility to JIA, however JIA has been less well studied using large-scale approaches.
Objectives To use the Immunochip to fine-map previously associated regions and to identifying novel loci for JIA.
Methods Genotyping was performed using the Immunochip, in a large cohort from the UK, US and Germany comprising 1749 JIA oligoarthritis and RF negative polyarthritis cases and 8854 controls. All raw genotyping data was combined for clustering and QC. SNPs failed QC based on a call rate <98% and/or cluster separation score <0.4. Samples failed QC based on a call rate <98%. Outliers of mean heterozygosity, related individuals and ancestral outliers were removed. Final sample size after QC was 1609 cases and 7153 controls. Analysis was performed using logistic regression adjusting for the top 5 principal components in PLINK 1.07.
Results Initial analysis has not only confirmed previously associated JIA loci (HLA, PTPN22, IL2, STAT4, PTPN2 and SH2B3/ATXN2) but has strengthened their association, such that all now reach genome-wide significance. A number of novel loci have been identified, some of which showed weak evidence previously, such as IL2RA, IL7R and IRF1, and others which have never been associated with JIA, such as RUNX1, FAS and ANKRD55. These will require validation in independent cohorts.
Conclusions The Immunochip project enables cost-effective fine-mapping of autoimmune loci in diseases such as JIA. This preliminary analysis has confirmed and strengthened the association of a number of previously associated genes as well as the identification of novel susceptibility loci for JIA. Further analysis of this data will help characterize all associated variants and identify the likely causal variants for future functional studies.
Acknowledgements:Childhood Arthritis Prospective Study (CAPS), Childhood Arthritis Response to Medication Study (SPARKS-CHARMS), BSPAR study group, UK JIA Genetics Consortium (UKJIAGC), Cincinnati Registry for Juvenile Arthritis Genetics (CRJAG), Consortium for Juvenile Arthritis Genetics (CJAG), and USA-Juvenile Arthritis Genetics Cohort (USA-JAGC).
Disclosure of Interest None Declared
Annals of the Rheumatic Diseases 01/2014; 71(Suppl 3):127-127. DOI:10.1136/annrheumdis-2012-eular.1895 · 10.38 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: Unlabelled:
Common variations at the loci harboring the fat mass and obesity gene (FTO), MC4R, and TMEM18 are consistently reported as being associated with obesity and body mass index (BMI) especially in adult population. In order to confirm this effect in pediatric population five European ancestry cohorts from pediatric eMERGE-II network (CCHMC-BCH) were evaluated.
Data on 5049 samples of European ancestry were obtained from the Electronic Medical Records (EMRs) of two large academic centers in five different genotyped cohorts. For all available samples, gender, age, height, and weight were collected and BMI was calculated. To account for age and sex differences in BMI, BMI z-scores were generated using 2000 Centers of Disease Control and Prevention (CDC) growth charts. A Genome-wide association study (GWAS) was performed with BMI z-score. After removing missing data and outliers based on principal components (PC) analyses, 2860 samples were used for the GWAS study. The association between each single nucleotide polymorphism (SNP) and BMI was tested using linear regression adjusting for age, gender, and PC by cohort. The effects of SNPs were modeled assuming additive, recessive, and dominant effects of the minor allele. Meta-analysis was conducted using a weighted z-score approach.
The mean age of subjects was 9.8 years (range 2-19). The proportion of male subjects was 56%. In these cohorts, 14% of samples had a BMI ≥95 and 28 ≥ 85%. Meta analyses produced a signal at 16q12 genomic region with the best result of p = 1.43 × 10(-) (7) [p (rec) = 7.34 × 10(-) (8)) for the SNP rs8050136 at the first intron of FTO gene (z = 5.26) and with no heterogeneity between cohorts (p = 0.77). Under a recessive model, another published SNP at this locus, rs1421085, generates the best result [z = 5.782, p (rec) = 8.21 × 10(-) (9)]. Imputation in this region using dense 1000-Genome and Hapmap CEU samples revealed 71 SNPs with p < 10(-) (6), all at the first intron of FTO locus. When hetero-geneity was permitted between cohorts, signals were also obtained in other previously identified loci, including MC4R (rs12964056, p = 6.87 × 10(-) (7), z = -4.98), cholecystokinin CCK (rs8192472, p = 1.33 × 10(-) (6), z = -4.85), Interleukin 15 (rs2099884, p = 1.27 × 10(-) (5), z = 4.34), low density lipoprotein receptor-related protein 1B [LRP1B (rs7583748, p = 0.00013, z = -3.81)] and near transmembrane protein 18 (TMEM18) (rs7561317, p = 0.001, z = -3.17). We also detected a novel locus at chromosome 3 at COL6A5 [best SNP = rs1542829, minor allele frequency (MAF) of 5% p = 4.35 × 10(-) (9), z = 5.89].
An EMR linked cohort study demonstrates that the BMI-Z measurements can be successfully extracted and linked to genomic data with meaningful confirmatory results. We verified the high prevalence of childhood rate of overweight and obesity in our cohort (28%). In addition, our data indicate that genetic variants in the first intron of FTO, a known adult genetic risk factor for BMI, are also robustly associated with BMI in pediatric population.
Frontiers in Genetics 12/2013; 4:268. DOI:10.3389/fgene.2013.00268
[Show abstract][Hide abstract] ABSTRACT: Gaucher disease type 1, an inherited lysosomal storage disorder, is caused by mutations in GBA1 leading to defective glucocerebrosidase (GCase) function and consequent excess accumulation of glucosylceramide/glucosylsphingosine in visceral organs. Enzyme replacement therapy (ERT) with the biosimilars, imiglucerase (imig) or velaglucerase alfa (vela) improves/reverses the visceral disease. Comparative transcriptomic effects (microarray and mRNA-Seq) of no ERT and ERT (imig or vela) were done with liver, lung, and spleen from mice having Gba1 mutant alleles, termed D409V/null. Disease-related molecular effects, dynamic ranges, and sensitivities were compared between mRNA-Seq and microarrays and their respective analytic tools, i.e. Mixed Model ANOVA (microarray), and DESeq and edgeR (mRNA-Seq). While similar gene expression patterns were observed with both platforms, mRNA-Seq identified more differentially expressed genes (DEGs) (∼3-fold) than the microarrays. Among the three analytic tools, DESeq identified the maximum number of DEGs for all tissues and treatments. DESeq and edgeR comparisons revealed differences in DEGs identified. In 9V/null liver, spleen and lung, post-therapy transcriptomes approximated WT, were partially reverted, and had little change, respectively, and were concordant with the corresponding histological and biochemical findings. DEG overlaps were only 8-20% between mRNA-Seq and microarray, but the biological pathways were similar. Cell growth and proliferation, cell cycle, heme metabolism, and mitochondrial dysfunction were most altered with the Gaucher disease process. Imig and vela differentially affected specific disease pathways. Differential molecular responses were observed in direct transcriptome comparisons from imig- and vela-treated tissues. These results provide cross-validation for the mRNA-Seq and microarray platforms, and show differences between the molecular effects of two highly structurally similar ERT biopharmaceuticals.
PLoS ONE 10/2013; 8(10):e74912. DOI:10.1371/journal.pone.0074912 · 3.23 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: We used the Immunochip array to analyze 2,816 individuals with juvenile idiopathic arthritis (JIA), comprising the most common subtypes (oligoarticular and rheumatoid factor-negative polyarticular JIA), and 13,056 controls. We confirmed association of 3 known JIA risk loci (the human leukocyte antigen (HLA) region, PTPN22 and PTPN2) and identified 14 loci reaching genome-wide significance (P < 5 x 10(-8)) for the first time. Eleven additional new regions showed suggestive evidence of association with JIA (P < 1 x 10(-6)). Dense mapping of loci along with bioinformatics analysis refined the associations to one gene in each of eight regions, highlighting crucial pathways, including the interleukin (IL)-2 pathway, in JIA disease pathogenesis. The entire Immunochip content, the HLA region and the top 27 loci (P < 1 x 10(-6)) explain an estimated 18, 13 and 6% of the risk of JIA, respectively. In summary, this is the largest collection of JIA cases investigated so far and provides new insight into the genetic basis of this childhood autoimmune disease.
[Show abstract][Hide abstract] ABSTRACT: Objective
To evaluate the performance of a next-generation sequencing (NGS)-based targeted resequencing genetic test, OtoSeq, to identify the sequence variants in the genes causing sensorineural hearing loss (SNHL).Study DesignRetrospective study.SettingTertiary children's hospital.Subjects and MethodsA total of 8 individuals presenting with prelingual hearing loss were used in this study. The coding and flanking intronic regions of 24 well-studied SNHL genes were enriched using microdroplet polymerase chain reaction and sequenced on an Illumina HiSeq 2000 sequencer. The filtered high-quality sequence reads were mapped to reference sequence, and variants were detected using NextGENe software.ResultsA total of 1148 sequence variants were detected in 8 samples in 24 genes. Using in-house developed NGS data analysis criteria, we classified 810 (~71%) of these variants as potential true variants that include previously detected pathogenic mutations in 5 patients. To validate our strategy, we Sanger sequenced the target regions of 5 of the 24 genes, accounting for about 29.2% of all target sequence. Our results showed >99.99% concordance between NGS and Sanger sequencing in these 5 genes, resulting in an analytical sensitivity and specificity of 100% and 99.997%, respectively. We were able to successfully detect single base substitutions, small deletions, and insertions of up to 22 nucleotides.Conclusion
This study demonstrated that our NGS-based mutation screening strategy is highly sensitive and specific in detecting sequence variants in the SNHL genes. Therefore, we propose that this NGS-based targeted sequencing method would be an alternative to current technologies for identifying the multiple genetic causes of SNHL.
Otolaryngology Head and Neck Surgery 03/2013; 148(6). DOI:10.1177/0194599813482294 · 2.02 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: Adiponectin is an obesity related protein that mediates the risk of type 2 diabetes in obese individuals with its anti-inflammatory and insulin-sensitizing properties. To date, five functional variations have been identified in the adiponectin gene. However, these variations are rare, and fail to fully explain adiponectin variability, suggesting unidentified causal variations exist. Thus, our objective was to identify novel, potentially functional amino acid-changing variations in ADIPOQ exonic regions and relate them to oligomeric forms of adiponectin in serum. We sequenced ADIPOQ exons in 30 adolescents chosen from a school-based cohort based on serum adiponectin and insulin levels. Four coding region changes were identified: a methionine initiation skip (MIS), P32L, R55C, and Y111H, of which R55C and Y111H have been previously identified. Individuals with the novel variations and R55C had low levels of adiponectin and decreased adiponectin oligomerization compared to adolescents with similar body mass index and insulin levels. Further, bioinformatic analysis predicted putative functionality of these variations. In our study, Y111H was unrelated to total circulating adiponectin or adiponectin oligomerization. Given the disruption of adiponectin oligomerization in the individuals with MIS, P32L, and R55C coding changes, these variations may lead to increased metabolic disease risk and warrant further examination in larger cohorts.
[Show abstract][Hide abstract] ABSTRACT: Context:Genetic factors play a major role in the etiology of autoimmune thyroid disease (AITD) including Graves' disease (GD) and Hashimoto's thyroiditis (HT). We have previously identified three loci on chromosomes 10q, 12q, and 14q that showed strong linkage with AITD, HT, and GD, respectively.Objectives:The objective of the study was to identify the AITD susceptibility genes at the 10q, 12q, and 14q loci.Design and Participants:Three hundred forty North American Caucasian AITD patients and 183 healthy controls were studied. The 10q, 12q, and 14q loci were fine mapped by genotyping densely spaced single-nucleotide polymorphisms (SNPs) using the Illumina GoldenGate genotyping platform. Case control association analyses were performed using the UNPHASED computer package. Associated SNPs were reanalyzed in a replication set consisting of 238 AITD patients and 276 controls.Results:Fine mapping of the AITD locus, 10q, showed replicated association of the AITD phenotype (both GD and HT) with SNP rs6479778. This SNP was located within the ARID5B gene recently reported to be associated with rheumatoid arthritis and GD in Japanese. Fine mapping of the GD locus, 14q, revealed replicated association of the GD phenotype with two markers, rs12147587 and rs2284720, located within the NRXN3 and TSHR genes, respectively.Conclusions:Fine mapping of three linked loci identified novel susceptibility genes for AITD. The discoveries of new AITD susceptibility genes will engender a new understanding of AITD etiology.
The Journal of Clinical Endocrinology and Metabolism 11/2012; 98(1). DOI:10.1210/jc.2012-2408 · 6.21 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: The CD40 gene, an important immune regulatory gene, is also expressed and functional on nonmyeloid-derived cells, many of which are targets for tissue-specific autoimmune diseases, including β cells in type 1 diabetes, intestinal epithelial cells in Crohn's disease, and thyroid follicular cells in Graves' disease (GD). Whether target tissue CD40 expression plays a role in autoimmune disease etiology has yet to be determined. In this study, we show that target tissue overexpression of CD40 plays a key role in the etiology of autoimmunity. Using a murine model of GD, we demonstrated that thyroidal CD40 overexpression augmented the production of thyroid-specific Abs, resulting in more severe experimental autoimmune GD (EAGD), whereas deletion of thyroidal CD40 suppressed disease. Using transcriptome and immune-pathway analyses, we showed that in both EAGD mouse thyroids and human primary thyrocytes, CD40 mediates this effect by activating downstream cytokines and chemokines, most notably IL-6. To translate these findings into therapy, we blocked IL-6 during EAGD induction in the setting of thyroidal CD40 overexpression and showed decreased levels of thyroid stimulating hormone receptor-stimulating Abs and frequency of disease. We conclude that target tissue overexpression of CD40 plays a key role in the etiology of organ-specific autoimmune disease.
The Journal of Immunology 08/2012; 189(6):3043-53. DOI:10.4049/jimmunol.1200311 · 4.92 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: In a genome-wide association study of Caucasian patients with juvenile idiopathic arthritis (JIA), we have previously described findings limited to autoimmunity loci shared by JIA and other diseases. The present study was undertaken to identify novel JIA-predisposing loci using genome-wide approaches.
The discovery cohort consisted of Caucasian JIA cases (n = 814) and local controls (n = 658) genotyped on the Affymetrix Genome-Wide SNP 6.0 Array, along with 2,400 out-of-study controls. In a replication study, we genotyped 10 single-nucleotide polymorphisms (SNPs) in 1,744 cases and 7,010 controls from the US and Europe.
Analysis within the discovery cohort provided evidence of associations at 3q13 within C3orf1 and near CD80 (rs4688011) (odds ratio [OR] 1.37, P = 1.88 × 10(-6) ) and at 10q21 near JMJD1C (rs647989 [OR 1.59, P = 6.1 × 10(-8) ], rs12411988 [OR 1.57, P = 1.16 × 10(-7) ], and rs10995450 [OR 1.31, P = 6.74 × 10(-5) ]). Meta-analysis provided further evidence of association for these 4 SNPs (P = 3.6 × 10(-7) for rs4688011, P = 4.33 × 10(-5) for rs6479891, P = 2.71 × 10(-5) for rs12411988, and P = 5.39 × 10(-5) for rs10995450). Gene expression data on 68 JIA cases and 23 local controls showed cis expression quantitative trait locus associations for C3orf1 SNP rs4688011 (P = 0.024 or P = 0.034, depending on the probe set) and JMJD1C SNPs rs6479891 and rs12411988 (P = 0.01 or P = 0.04, depending on the probe set and P = 0.008, respectively). Using a variance component liability model, it was estimated that common SNP variation accounts for approximately one-third of JIA susceptibility.
Genetic association results and correlated gene expression findings provide evidence of JIA association at 3q13 and suggest novel genes as plausible candidates in disease pathology.
[Show abstract][Hide abstract] ABSTRACT: Homozygous C1q deficiency is an extremely rare condition and strongly associated with systemic lupus erythematosus. To assess and characterize C1q deficiency in an African-American lupus pedigree, C1q genomic region was evaluated in the lupus cases and family members.
Genomic DNA from patient was obtained and C1q A, B and C gene cluster was sequenced using next generation sequencing method. The identified mutation was further confirmed by direct Sanger sequencing method in the patient and all blood relatives. C1q levels in serum were measured using sandwich ELISA method.
In an African-American patient with lupus and C1q deficiency, we identified and confirmed a novel homozygote start codon mutation in C1qA gene that changes amino acid methionine to arginine at position 1. The Met1Arg mutation prevents protein translation (Met1Arg). Mutation analyses of the patient's family members also revealed the Met1Arg homozygote mutation in her deceased brother who also had lupus with absence of total complement activity consistent with a recessive pattern of inheritance.
The identification of new mutation in C1qA gene that disrupts the start codon (ATG to AGG (Met1Arg)) has not been reported previously and it expands the knowledge and importance of the C1q gene in the pathogenesis of lupus especially in the high-risk African-American population.
[Show abstract][Hide abstract] ABSTRACT: Objectives. mRNA for serotonin 2C receptor (5-HT(2C)R) undergoes editing which results in numerous isoforms. More highly edited isoforms exhibit decreased function. We recently found greater 5-HT(2C)R editing in suicide victims with prior bipolar disorder (BPD) or schizophrenia (SZ) compared with non-suicide patients and normal controls (NC). This study compares suicides and non-suicides with major depressive disorder (MDD(Suic) and MDD(NoSuic)) and non-suicide NC. Methods. mRNA editing was assessed in prefrontal cortex of 24 MDD(Suic), 21 MDD(NoSuic), and 56 NC using next generation sequencing. mRNA expression of 5-HT(2C)R and editing enzymes (ADAR1-2) was assessed by real-time PCR. Results. Editing was lower in MDD(NoSuic) than in MDD(Suic), which did not differ from NC. No differences in the 5-HT(2C)R or ADAR1 expression were detected. ADAR2 expression was higher in NC than in MDD subjects, but did not differ between MDD(NoSuic) and MDD(Suic). Conclusions. Our findings suggest the presence of two factors associated with 5-HT(2C)R editing. One factor, which probably stems from decreased ADAR2 expression, is linked to MDD and is associated with less editing. The other, seen also in our previous study of suicide in BP and SZ, is linked to suicide alone and is associated with more editing and, therefore, less receptor function.
The World Journal of Biological Psychiatry 03/2012; 14(8). DOI:10.3109/15622975.2011.630406 · 4.18 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: Pediatric cardiomyopathy is a genetically het-erogeneous disease associated with significant morbidity. Although identification of underlying etiology is important for management, therapy, and screening of at risk family members, molec-ular diagnosis is difficult due to the large num-ber of causative genes, the high rate of private mutations, and cost. In this study, we aimed to define the genetic basis of pediatric cardiomy-opathy and test a novel diagnostic tool using a custom targeted microarray coupled to massive-ly parallel sequencing. Three patients with car-diomyopathy were screened using a custom NimbleGen sequence capture array containing 110 genes and providing 99.9% coverage of the exons of interest. The sensitivity and specificity was over 99% as determined by comparison to long-range polymerase chain reaction (PCR)-based massively parallel sequencing, Sanger sequencing of missense variants, and single nucleotide polymorphisms genotyping using the Illumina Infinium Omni1 array. Overall, 99.73% of the targeted regions were captured and sequenced at over 10x coverage, allowing reli-able mutation calling in all patients. Analysis identified a total of 165 non-synonymous coding single nucleotide polymorphisms (cSNPs) of which 89 were unique and 14 were novel. On average, each patient had 4 cSNPs predicted to be pathogenic. In conclusion, we report a car-diomyopathy sequencing array that allows simul-taneous assessment of 110 genes. Comparison of targeted sequence capture versus PCR-based enrichment methods demonstrates that the for-mer is more sensitive and efficient. Array-based sequence capture technology followed by mas-sively parallel sequencing is promising as a robust and comprehensive tool for genetic screening of cardiomyopathy. These results pro-vide important information about genetic archi-tecture and indicate that improved annotation of variants and interpretation of clinical signifi-cance, particularly in cases with multiple rare variants, are important for clinical practice.
[Show abstract][Hide abstract] ABSTRACT: Using a small scale ENU mutagenesis approach we identified a recessive germline mutant, designated Lampe1 that exhibited growth retardation and spontaneous hepatosteatosis. Low resolution mapping based on 20 intercrossed Lampe1 mice revealed linkage to a ∼14 Mb interval on the distal site of chromosome 11 containing a total of 285 genes. Exons and 50 bp flanking sequences within the critical region were enriched with sequence capture microarrays and subsequently analyzed by next-generation sequencing. Using this approach 98.1 percent of the targeted DNA was covered with a depth of 10 or more reads per nucleotide and 3 homozygote mutations were identified. Two mutations represented intronic nucleotide changes whereas one mutation affected a splice donor site in intron 11-12 of Palmitoyl Acetyl-coenzyme A oxygenase-1 (Acox1), causing skipping of exon 12. Phenotyping of Acox1(Lampe1) mutants revealed a progression from hepatosteatosis to steatohepatitis, and ultimately hepatocellular carcinoma. The current approach provides a highly efficient and affordable method to identify causative mutations induced by ENU mutagenesis and animal models relevant to human pathology.
PLoS ONE 07/2011; 6(7):e21979. DOI:10.1371/journal.pone.0021979 · 3.23 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: To investigate secretor gene fucosyltransferase 2 (FUT2) polymorphism and secretor phenotype in relation to outcomes of prematurity.
Study infants were ≤32 weeks gestational age. Secretor genotype was determined from salivary DNA. Secretor phenotype was measured with H antigen, the carbohydrate produced by secretor gene enzymes, in saliva samples collected on day 9 ± 5. The optimal predictive cutoff point in salivary H values was identified with Classification and Regression Tree analysis. Study outcomes were death, necrotizing enterocolitis (NEC, Bell's stage II/III), and confirmed sepsis.
There were 410 study infants, 26 deaths, 30 cases of NEC, and 96 cases of sepsis. Analyzed by genotype, 13% of 95 infants who were non-secretors, 5% of 203 infants who were heterozygotes, and 2% of 96 infants who were secretor dominant died (P = .01). Analyzed by phenotype, 15% of 135 infants with low secretor phenotype died, compared with 2% of 248 infants with high secretor phenotype (predictive value = 76%, P < .001). Low secretor phenotype was associated (P < .05) with NEC, and non-secretor genotype was associated (P = .05) with gram negative sepsis. Secretor status remained significant after controlling for multiple clinical factors.
Secretor genotype and phenotype may provide strong predictive biomarkers of adverse outcomes in premature infants.
The Journal of pediatrics 05/2011; 158(5):745-51. DOI:10.1016/j.jpeds.2010.10.043 · 3.79 Impact Factor