17 research outputs found

    Perspectives of Women in Prostitution diversion program on DNA Collection for a High-Risk DNA Database

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    DNA can be collected from women at high risk of violent crime as a pre-emptive biometric for post-mortem identification. We conducted focus groups with women in a prostitution diversion program that offers pre-emptive DNA collection. In general, the women supported the program but voiced concern for law enforcement collecting DNA. These data provide insights into the challenges of collecting DNA from women whom law enforcement might consider alternately to be victims or vilified. Hearing the voices of these women provides the forensic community an opportunity to design programs to minimize harm and maximize utility of DNA for victim identification

    Replication of TCF4 through Association and Linkage Studies in Late-Onset Fuchs Endothelial Corneal Dystrophy

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    Fuchs endothelial corneal dystrophy (FECD) is a common, late-onset disorder of the corneal endothelium. Although progress has been made in understanding the genetic basis of FECD by studying large families in which the phenotype is transmitted in an autosomal dominant fashion, a recently reported genome-wide association study identified common alleles at a locus on chromosome 18 near TCF4 which confer susceptibility to FECD. Here, we report the findings of our independent validation study for TCF4 using the largest FECD dataset to date (450 FECD cases and 340 normal controls). Logistic regression with sex as a covariate was performed for three genetic models: dominant (DOM), additive (ADD), and recessive (REC). We found significant association with rs613872, the target marker reported by Baratz et al.(2010), for all three genetic models (DOM: P = 9.33×10−35; ADD: P = 7.48×10−30; REC: P = 5.27×10−6). To strengthen the association study, we also conducted a genome-wide linkage scan on 64 multiplex families, composed primarily of affected sibling pairs (ASPs), using both parametric and non-parametric two-point and multipoint analyses. The most significant linkage region localizes to chromosome 18 from 69.94cM to 85.29cM, with a peak multipoint HLOD = 2.5 at rs1145315 (75.58cM) under the DOM model, mapping 1.5 Mb proximal to rs613872. In summary, our study presents evidence to support the role of the intronic TCF4 single nucleotide polymorphism rs613872 in late-onset FECD through both association and linkage studies

    Elucidating the Genetic Basis of Fuchs Endothelial Corneal Dystrophy

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    <p>Fuchs endothelial corneal dystrophy (FECD) is a complex, late-onset disorder that is a frequent indication for corneal transplantation and affects women more frequently than men. Although linkage and association studies in patients of European and Asian ancestry have started to explain the genetic basis of this disorder, the mechanism by which FECD develops is still unclear. Three projects were undertaken to help elucidate the genetic basis of FECD. The first project examined a large, multigenerational family that exhibited strong familial clustering of FECD and identified evidence of linkage to chromosome 18. This locus that has also been implicated through work on large and small FECD families as well as unrelated patients. The second project examined African-Americans with FECD and is the first work to examine this population of patients with respect to the FECD phenotype. Novel variants in three FECD candidate genes, <italic>COL8A2</italic>, <italic>SLC4A11</italic>, and <italic>ZEB1</italic> were identified at approximately the same rate as observed in patients of other ancestries, reinforcing the notion that these genes only contribute to a small fraction of FECD genetic susceptibility. Finally, the influence of environmental factors on FECD susceptibility was examined through the use of a risk factor questionnaire given to cases and controls at the time of study enrollment. Several factors, including gender, age, and cataracts, were found to significantly affect FECD risk. Gender and the number of cataract surgeries were found to significantly interact with a genetic variant, rs613872 in the <italic>TCF4</italic> locus on chromosome 18 that has been consistently and reproducibly associated with FECD, to influence FECD susceptibility. Together, these findings indicate that the genetic basis of FECD is complex, and recent advances in the field show promise in accelerating the pace of discovery that will hopefully develop better FECD treatments in the near future.</p>Dissertatio

    Perspectives on Genetic and Genomic Technologies in an Academic Medical Center: The Duke Experience

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    In this age of personalized medicine, genetic and genomic testing is expected to become instrumental in health care delivery, but little is known about its actual implementation in clinical practice. Methods. We surveyed Duke faculty and healthcare providers to examine the extent of genetic and genomic testing adoption. We assessed providers’ use of genetic and genomic testing options and indications in clinical practice, providers’ awareness of pharmacogenetic applications, and providers’ opinions on returning research-generated genetic test results to participants. Most clinician respondents currently use family history routinely in their clinical practice, but only 18 percent of clinicians use pharmacogenetics. Only two respondents correctly identified the number of drug package inserts with pharmacogenetic indications. We also found strong support for the return of genetic research results to participants. Our results demonstrate that while Duke healthcare providers are enthusiastic about genomic technologies, use of genomic tools outside of research has been limited. Respondents favor return of research-based genetic results to participants, but clinicians lack knowledge about pharmacogenetic applications. We identified challenges faced by this institution when implementing genetic and genomic testing into patient care that should inform a policy and education agenda to improve provider support and clinician-researcher partnerships

    Perspectives on Genetic and Genomic Technologies in an Academic Medical Center: The Duke Experience

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    In this age of personalized medicine, genetic and genomic testing is expected to become instrumental in health care delivery, but little is known about its actual implementation in clinical practice. Methods. We surveyed Duke faculty and healthcare providers to examine the extent of genetic and genomic testing adoption. We assessed providers’ use of genetic and genomic testing options and indications in clinical practice, providers’ awareness of pharmacogenetic applications, and providers’ opinions on returning research-generated genetic test results to participants. Most clinician respondents currently use family history routinely in their clinical practice, but only 18 percent of clinicians use pharmacogenetics. Only two respondents correctly identified the number of drug package inserts with pharmacogenetic indications. We also found strong support for the return of genetic research results to participants. Our results demonstrate that while Duke healthcare providers are enthusiastic about genomic technologies, use of genomic tools outside of research has been limited. Respondents favor return of research-based genetic results to participants, but clinicians lack knowledge about pharmacogenetic applications. We identified challenges faced by this institution when implementing genetic and genomic testing into patient care that should inform a policy and education agenda to improve provider support and clinician-researcher partnerships

    Polymorphic variants in tenascin-C (TNC) are associated with atherosclerosis and coronary artery disease

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    Tenascin-C ( TNC ) is an extracellular matrix protein implicated in biological processes important for atherosclerotic plaque development and progression, including smooth muscle cell migration and proliferation. Previously, we observed differential expression of TNC in atherosclerotic aortas compared with healthy aortas. The goal of this study was to investigate whether common genetic variation within TNC is associated with risk of atherosclerosis and coronary artery disease (CAD) in three independent datasets. We genotyped 35 single nucleotide polymorphisms (SNPs), including 21 haplotype tagging SNPs, in two of these datasets: human aorta tissue samples ( n = 205) and the CATHGEN cardiovascular study ( n = 1,325). Eleven of these 35 SNPs were then genotyped in a third dataset, the GENECARD family study of early-onset CAD ( n = 879 families). Three SNPs representing a block of linkage disequilibrium, rs3789875, rs12347433, and rs4552883, were significantly associated with athero sclerosis in multiple datasets and demonstrated consistent, but suggestive, genetic effects in all analyses. In combined analysis rs3789875 and rs12347433 were statistically significant after Bonferroni correction for 35 comparisons, p = 2 × 10 −6 and 5 × 10 −6 , respectively. The SNP rs12347433 is a synonymous coding SNP and may be biologically relevant to the mechanism by which tenascin-C influences the pathophysiology of CAD and atherosclerosis. This is the first report of genetic association between polymorphisms in TNC and atherosclerosis or CAD

    Worldwide distribution of the minor (risk) allele, G, of rs613872 in <i>TCF4.</i>

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    <p>Data from the Human Genome Diversity Project, available online through the UCSC genome browser at <a href="http://genome.ucsc.edu/" target="_blank">http://genome.ucsc.edu/</a>. Note the higher prevalence of the risk allele in sample populations from Europe, the Middle East, and Southern Asia and the absence of the risk allele in sample populations from Africa, Eastern Asia, and Central and South America.</p

    Results of the multipoint linkage analysis using MERLIN.

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    <p>Note: All linkage regions with a LOD score >1.5 at the peak marker in at least one of the multipoint analyses, nonparametric (NPL), dominant (DOM), or recessive (REC), are presented. The upper and lower bounds of each linkage peak interval presented were selected based on covering all markers with a LOD or HLOD score within one LOD score unit of the peak marker's LOD score. The peak LOD scores are indicated with <b>bold text</b>. Chr, chromosome; SNP, single nucleotide polymorphism; LOD, logarithm of the odds; HLOD, heterogeneity logarithm of the odds.</p
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