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Genomes and GenesSpecies | Nicola J CampSummaryAffiliation: University of Utah Country: USA Publications
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Publications
Pairwise shared genomic segment analysis in three Utah high-risk breast cancer pedigreesZheng Cai
Division of Genetic Epidemiology, University of Utah Medical School, 391 Chipeta Way Suite D, Salt Lake City, UT, 84108, USA
BMC Genomics 13:676. 2012..abstract:..- PedGenie: an analysis approach for genetic association testing in extended pedigrees and genealogies of arbitrary sizeKristina Allen-Brady
Genetic Epidemiology Division, Department of Medical Informatics, University of Utah Salt Lake City, Utah, USA
BMC Bioinformatics 7:209. 2006.... 
Statistical recombinant mapping in extended high-risk Utah pedigrees narrows the 8q24 prostate cancer locus to 2.0 MbNicola J Camp
Division of Genetic Epidemiology, Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, Utah 84108, USA
Prostate 67:1456-64. 2007..In addition to potential allelic heterogeneity, 8q24 exhibits strong linkage disequilibrium over vast distances and is prone to chromosomal aberrations...- Localization of a prostate cancer predisposition gene to an 880-kb region on chromosome 22q12.3 in Utah high-risk pedigreesNicola J Camp
Division of Genetic Epidemiology, Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, Utah 84108, USA
Cancer Res 66:10205-12. 2006..We are mutation screening candidate genes in this region to identify specific genetic variants segregating in these pedigrees... - Compelling evidence for a prostate cancer gene at 22q12.3 by the International Consortium for Prostate Cancer GeneticsNicola J Camp
University of Utah ICPCG Group and Division of Genetic Epidemiology, University of Utah School of Medicine, 391 Chipeta Way, Suite D, Salt Lake City, UT 84108, USA
Hum Mol Genet 16:1271-8. 2007..This collaborative study by the ICPCG illustrates the value of consortium efforts and the continued utility of linkage analysis using informative pedigrees to localize genes for complex diseases... - Replication of the 10q11 and Xp11 prostate cancer risk variants: results from a Utah pedigree-based studyNicola J Camp
Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT 84108, USA
Cancer Epidemiol Biomarkers Prev 18:1290-4. 2009..We also nominally replicated the association of prostate cancer with rs5945619 (Xp11). In particular, it seems that the susceptibility locus at 10q11 maybe involved in familial, early-onset disease... - 10q26 is associated with increased risk of age-related macular degeneration in the Utah populationD Joshua Cameron
Department of Ophthalmology and Visual Sciences, Moran Eye Center and Program in Human Molecular Biology and Genetics, University of Utah School of Medicine, Salt Lake City, UT 84132, USA
Adv Exp Med Biol 613:253-8. 2008 - Meta association of colorectal cancer confirms risk alleles at 8q24 and 18q21Karen Curtin
Genetic Epidemiology, University of Utah School of Medicine, Salt Lake City, UT 84109, USA
Cancer Epidemiol Biomarkers Prev 18:616-21. 2009..K. case-control cohorts (Sheffield and Leeds) and a U.S. case-control study of CRC cases from high-risk Utah pedigrees... - Genome-wide linkage analyses of extended Utah pedigrees identifies loci that influence recurrent, early-onset major depression and anxiety disordersNicola J Camp
Genetic Research, Intermountain Health Care, Salt Lake City, Utah 84108, USA
Am J Med Genet B Neuropsychiatr Genet 135:85-93. 2005..Further, it supports the hypothesis that MDD and anxiety disorders have over-lapping genetic etiologies and suggests that comorbid diagnoses may be useful in defining more genetically homogeneous forms of MDD for linkage mapping... - A role for XRCC4 in age at diagnosis and breast cancer riskKristina Allen-Brady
Genetic Epidemiology, Department of Medical Informatics, University of Utah, Salt Lake City, 84108, USA
Cancer Epidemiol Biomarkers Prev 15:1306-10. 2006..Our results suggest that XRCC4 may play a role in the age at diagnosis and risk of breast cancer in non-BRCA1/2, heritable breast cancer cases... - Linkage of serum creatinine and glomerular filtration rate to chromosome 2 in Utah pedigreesSteven C Hunt
Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah 84108, USA
Am J Hypertens 17:511-5. 2004..This can lead to a loss in power to detect linkage. Therefore, in this study we also investigated serum creatinine and estimated glomerular filtration rates (GFR), both of which are more reliably measured... - Multiple less common genetic variants explain the association of the cholesteryl ester transfer protein gene with coronary artery diseaseBenjamin D Horne
Cardiovascular Department, LDS Hospital, Intermountain Medical Center, University of Utah, Salt Lake City, Utah 84143, USA
J Am Coll Cardiol 49:2053-60. 2007.... - PedGenie: meta genetic association testing in mixed family and case-control designsKaren Curtin
Department of Biomedical Informatics, University of Utah, Salt Lake City, UT 84108, USA
BMC Bioinformatics 8:448. 2007..4 software, is significantly enhanced by incorporating meta statistics for detecting genetic association with disease using data across multiple study groups... - Genome-wide linkage analysis of 1,233 prostate cancer pedigrees from the International Consortium for Prostate Cancer Genetics using novel sumLINK and sumLOD analysesG Bryce Christensen
University of Utah ICPCG Group and Division of Genetic Epidemiology, University of Utah School of Medicine, Salt Lake City, Utah 84108, USA
Prostate 70:735-44. 2010..The recently developed sumLINK and sumLOD statistics are powerful tools for linkage analysis in the presence of heterogeneity... - Characterization of linkage disequilibrium structure, mutation history, and tagging SNPs, and their use in association analyses: ELAC2 and familial early-onset prostate cancerNicola J Camp
Genetic Epidemiology Division, Department of Medical Informatics, University of Utah School of Medicine, Salt Lake City, Utah, USA
Genet Epidemiol 28:232-43. 2005.... - Multiple-polymorphism associations of 7 matrix metalloproteinase and tissue inhibitor metalloproteinase genes with myocardial infarction and angiographic coronary artery diseaseBenjamin D Horne
Cardiovascular Department, LDS Hospital, Intermountain Medical Center, Salt Lake City, UT 84143, USA
Am Heart J 154:751-8. 2007..Furthermore, differentiation of predictive ability by end point (MI vs CAD) has not been addressed. This study evaluated the association with MI of SNPs in genes encoding MMPs 1, 2, 3, and 9 and TIMPs 1, 2, and 3... - Characterization of the linkage disequilibrium structure and identification of tagging-SNPs in five DNA repair genesKristina Allen-Brady
Department of Medical Informatics, University of Utah School of Medicine, Salt Lake City, Utah 84108, USA
BMC Cancer 5:99. 2005..In this study, we report the LD and haplotype architecture and tagging-single nucleotide polymorphisms (tSNPs) for five DNA repair genes: ATM, MRE11A, XRCC4, NBS1 and RAD50... 
Further mapping of 10q26 supports strong association of HTRA1 polymorphisms with age-related macular degenerationDaniel Gibbs
Department of Ophthalmology and Visual Science, Moran Eye Center, Building 533, Room 3160A, 15 North 2030 East, Salt Lake City, UT 84132, USA
Vision Res 48:685-9. 2008..We demonstrate that rs11200638 in the promoter region and rs2293870 in exon 1 of HTRA1, are among the most significantly associated variants for advanced forms of AMD...- Confirmation of chromosome 7q11 locus for predisposition to intracranial aneurysmJames M Farnham
Department of Medical Informatics, University of Utah School of Medicine, 391 Chipeta Way, Salt Lake City, UT 84108, USA
Hum Genet 114:250-5. 2004..34, at D7S2421, corrected P=0.001). This study is the first to confirm the linkage of the 7q11 locus for IA... - Genome-wide multipoint parametric linkage analysis of pulse pressure in large, extended utah pedigreesNicola J Camp
Genetic Epidemiology, Department of Medical Informatics, University of Utah School of Medicine, 391 Chipeta Way, Suite D, Salt Lake City, UT 84108 1206, USA
Hypertension 42:322-8. 2003..In conclusion, our results suggest that pulse pressure might be of use for identifying genes involved in blood pressure phenotypes and arterial aging... - A unique genome-wide association analysis in extended Utah high-risk pedigrees identifies a novel melanoma risk variant on chromosome arm 10qCraig Teerlink
Division of Genetic Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT 84132, USA
Hum Genet 131:77-85. 2012..Our approach illustrates an example of using high-risk pedigrees for the identification of new melanoma predisposition variants... - Haplotype association analyses in resources of mixed structure using Monte Carlo testingRyan Abo
Department of Biomedical Informatics, University of Utah, Salt Lake City, USA
BMC Bioinformatics 11:592. 2010..Both traditional association statistics and transmission/disequilibrium statistics can be performed. The method includes a phasing algorithm that can be used in large pedigrees and optional use of pseudocontrols... - Genomic search for prostate cancer predisposition loci in Utah pedigreesNicola J Camp
Genetic Epidemiology, Department of Medical Informatics, University of Utah, Salt Lake City, Utah 84108, USA
Prostate 65:365-74. 2005..CONCLUSIONS: Our genome-wide search in the informative, extended Utah pedigrees continues to illustrate an ability to identify and replicate linkage peaks, and supports four regions of interest for PrCa predisposition genes... - Linkage analysis of Tourette syndrome in a large Utah pedigreeStacey Knight
Department of Biomedical Informatics, University of Utah, Salt Lake City, UT 84108, USA
Am J Med Genet B Neuropsychiatr Genet 153:656-62. 2010..03). The significant linkage peaks on chromosomes 1p and 3p are in new areas of the genome for TS, and replication of these findings is necessary... - Maximum likelihood estimates of allele frequencies and error rates from samples of related individuals by gene countingAlun Thomas
Department of Medical Informatics, University of Utah, 391 Chipeta Way, Suite D, Salt Lake City, 84108, USA
Bioinformatics 22:771-2. 2006..AVAILABILITY: The Java classes and Javadocs pages for \mathsf\hbox GeneCountAlleles can be obtained from bioinformatics.med.utah.edu/~alun, which also has more information on its use and file formats... - Genetic variants in XRCC2: new insights into colorectal cancer tumorigenesisKaren Curtin
Genetic Epidemiology, University of Utah School of Medicine, 391 Chipeta Way Suite D2, Salt Lake City, UT 84108, USA
Cancer Epidemiol Biomarkers Prev 18:2476-84. 2009..0006). This difference was significantly different to that for proximal and distal colon cancers (P(chi2) = 0.02). Our investigation supports a role for XRCC2 in colorectal cancer tumorigenesis, conferring susceptibility to rectal tumors... - Automated construction and testing of multi-locus gene-gene associationsRyan Abo
Department of Biomedical Informatics, University of Utah School of Medicine, UT, USA
Bioinformatics 27:134-6. 2011..This tool provides a flexible data-mining approach to identifying gene-gene effects that otherwise is currently unavailable. AVAILABILITY: http://bioinformatics.med.utah.edu/Genie/hapConstructor.html... - Identification of excess clustering of coronary heart diseases among extended pedigrees in a genealogical population databaseBenjamin D Horne
Genetic Epidemiology Division, Department of Medical Informatics, University of Utah, Salt Lake City, UT 84108 1266, USA
Am Heart J 152:305-11. 2006..This study evaluated deaths caused by CAD, MI, hypertensive heart disease (HtnHD), and congestive heart failure (CHF) among close and distant relatives... - A cautionary note on the appropriateness of using a linkage resource for an association studyKristina Allen-Brady
Genetic Epidemiology, Department of Medical Informatics, University of Utah School of Medicine, Salt Lake City, Utah, USA
BMC Genet 4:S89. 2003.... - Comparison of linkage analysis methods for genome-wide scanning of extended pedigrees, with application to the TG/HDL-C ratio in the Framingham Heart StudyBenjamin D Horne
Genetic Epidemiology, Department of Medical Informatics, University of Utah School of Medicine, Salt Lake City, Utah, USA
BMC Genet 4:S93. 2003..Results were compared to each other and to those from a previous evaluation using SOLAR for TG/HDL-C ratio on this sample. We also investigated linked pedigrees in each region using by-pedigree analysis... - Identification of regions of positive selection using Shared Genomic Segment analysisZheng Cai
Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT 84108, USA
Eur J Hum Genet 19:667-71. 2011..Others are suggested to be novel regions. Our finding illustrates the utility of SGS as a method for identifying regions of selection, and some of these regions have been proposed to be candidate regions for harboring disease genes... - Evidence for a heritable component in death resulting from aortic and mitral valve diseasesBenjamin D Horne
Genetic Epidemiology Division, Department of Medical Informatics, University of Utah, 391 Chipeta Way, Suite D, Salt Lake City, UT 84108 1266, USA
Circulation 110:3143-8. 2004..This study evaluated the familiality of death resulting from aortic, mitral, and all valvular diseases using a population-based genealogy linked to death records... - A variant of the HTRA1 gene increases susceptibility to age-related macular degenerationZhenglin Yang
Department of Ophthalmology and Visual Sciences, Moran Eye Center, University of Utah School of Medicine, Salt Lake City, UT 84132, USA
Science 314:992-3. 2006..We also found that drusen in the eyes of AMD patients were strongly immunolabeled with HTRA1 antibody. Together, these findings support a key role for HTRA1 in AMD susceptibility and identify a potential new pathway for AMD pathogenesis... - Significant evidence for linkage to chromosome 5q13 in a genome-wide scan for asthma in an extended pedigree resourceCraig C Teerlink
Department of Biomedical Informatics, Division of Genetic Epidemiology, University of Utah School of Medicine, Salt Lake City, UT 84112 5750, USA
Eur J Hum Genet 17:636-43. 2009..The evidence of linkage at the 5q13 region represents the first significant evidence for linkage on a genome-wide basis for this locus. Linked pedigrees localize the region to approximately between 92.3-105.5 Mb... - Model-fitting and linkage analysis of sodium-lithium countertransportSandra J Hasstedt
Department of Human Genetics, University of Utah, Salt Lake City, UT 84112 5330, USA
Eur J Hum Genet 12:1055-61. 2004..Using the inferred model, lod scores >2 were obtained for D3S3038, D11S4464, and D10S677 for the BMI-responsive locus, and for D8S1048 for the TG-responsive locus... - Evidence for linkage on chromosome 3q25-27 in a large autism extended pedigreeHilary Coon
Neurodevelopmental Genetics Project, Department of Psychiatry, University of Utah, Salt Lake City, Utah 84108, USA
Hum Hered 60:220-6. 2005..No variants likely to contribute to autism were found in the coding sequence, exon-intron boundaries, or the promoter region of this gene... - Confirmation of the HPCX prostate cancer predisposition locus in large Utah prostate cancer pedigreesJames M Farnham
Genetic Epidemiology, Department of Medical Informatics, University of Utah, Salt Lake City, UT 84108, USA
Hum Genet 116:179-85. 2005..This study thus represents the first significant confirmation of HPCX (Xq27-28) and argues for the continued utility of large pedigrees in linkage analyses for complex diseases... - Predisposition locus for major depression at chromosome 12q22-12q23.2Victor Abkevich
Myriad Genetics, Salt Lake City, UT, 84108, USA
Am J Hum Genet 73:1271-81. 2003..This study confirms the presence of one or more genes involved in psychiatric diseases on the q arm of chromosome 12 and provides strong evidence for the existence of a sex-specific predisposition gene to major depression at 12q22-q23.2... - Genetic distance and markers used in linkage mappingKristina Allen-Brady
Genetic Epidemiology Division, Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA
Methods Mol Biol 713:43-53. 2011.... - Graphical modeling of the joint distribution of alleles at associated lociAlun Thomas
Department of Medical Informatics, University of Utah, Salt Lake City, UT 84108, USA
Am J Hum Genet 74:1088-101. 2004..Graphical models provide more flexibility to express these features of the joint distribution of alleles than do monotonic functions connecting physical and genetic maps... - High-resolution characterization of linkage disequilibrium structure and selection of tagging single nucleotide polymorphisms: application to the cholesteryl ester transfer protein geneBenjamin D Horne
Cardiovascular Department, LDS Hospital, Salt Lake City, UT 84143, USA
Ann Hum Genet 70:524-34. 2006..This study provides an optimal set of tSNPs for association analyses of CETP. The observed complexity of LD structure highlights the importance of using methods, such as PCA, that allow for multiple dynamics in intragenic LD structure... - Analysis of high-density single-nucleotide polymorphism data: three novel methods that control for linkage disequilibrium between markers in a linkage analysisKristina Allen Brady
Department of Biomedical Informatics, University of Utah, 391 Chipeta Way, Suite D, Salt Lake City, Utah 84108, USA
BMC Proc 1:S160. 2007..Additional work is required to further understand the effects of LD on linkage results and explore LD control methodology... - Fine-mapping CASP8 risk variants in breast cancerNicola J Camp
Division of Genetic Epidemiology, University of Utah School of Medicine, Salt Lake City, Utah, USA
Cancer Epidemiol Biomarkers Prev 21:176-81. 2012..To define a risk haplotype and map the CASP8 gene region with respect to underlying susceptibility variant/s, we screened four genes in the CASP8 region on 2q33-q34 for breast cancer risk... - Evaluation of genetic risk scores for lipid levels using genome-wide markers in the Framingham Heart StudyStephen R Piccolo
Department of Biomedical Informatics, School of Medicine, University of Utah, 26 South 2000 East, Salt Lake City, Utah 84112, USA
BMC Proc 3:S46. 2009..In this paper, we evaluate a weighted and an unweighted approach for estimating the combined effect of multiple markers (using genotypes and haplotypes) on lipid levels for a given individual... - A parallel genetic algorithm to discover patterns in genetic markers that indicate predisposition to multifactorial diseaseTobias Rausch
Department of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT 84112, USA
Comput Biol Med 38:826-36. 2008..In particular, the correlation analysis of IBD expression patterns might hint to possible gene-gene interactions and the filtering might be a fruitful approach to distinguish true correlation signals from noise... - Lobular breast cancer: excess familiality observed in the Utah Population DatabaseKristina Allen-Brady
Genetic Epidemiology, Department of Medical Informatics, University of Utah School of Medicine, Salt Lake City, 84108, USA
Int J Cancer 117:655-61. 2005..Relatives of women with LOB are at higher risk for BC than relatives of other BC subtypes; a more rigorous BC screening regime may be warranted for these individuals... - hapConstructor: automatic construction and testing of haplotypes in a Monte Carlo frameworkRyan Abo
Department of Biomedical Informatics, University of Utah, UT, USA
Bioinformatics 24:2105-7. 2008..HapConstructor is a useful tool for exploring multi-locus associations in candidate genes and regions. AVAILABILITY: http://www-genepi.med.utah.edu/Genie... - Principal component analysis for selection of optimal SNP-sets that capture intragenic genetic variationBenjamin D Horne
Genetic Epidemiology Division, Department of Medical Informatics, University of Utah, Salt Lake City, Utah 84112, USA
Genet Epidemiol 26:11-21. 2004..Our findings suggest that PCA may be a powerful tool for establishing an optimal SNP set that maximizes the amount of genetic variation captured for a candidate gene using a minimal number of SNPs... - Fine-scale structure of the genome and markers used in association mappingKaren Curtin
Genetic Epidemiology Division, Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA
Methods Mol Biol 713:71-88. 2011..The concept of LD and how it is used to select tSNPs will be addressed, as well as specific procedures and algorithms that are practiced by researchers to determine these variants... - Dissecting the genetic etiology of major depressive disorder using linkage analysisNicola J Camp
Division of Genetic Epidemiology, Department of Medical Informatics, University of Utah School of Medicine, Salt Lake City, UT 84108, USA
Trends Mol Med 11:138-44. 2005..Genes found might influence specific subtypes of MDD or broader phenotypes, leading to enhanced clinical characterization and management of MDD... - Validity and power of association testing in family-based sampling designs: evidence for and against the common wisdomStacey Knight
Division of Genetic Epidemiology, Salt Lake City, Utah, USA
Genet Epidemiol 35:174-81. 2011..These results suggest a more complex situation than previously assumed, which has important implications for study design and analysis... - Population-based risk assessment for other cancers in relatives of hereditary prostate cancer (HPC) casesLisa A Cannon Albright
Department of Medical Informatics, University of Utah School of Medicine, Salt Lake City, Utah, USA
Prostate 64:347-55. 2005.... - Identification of a major susceptibility locus for lethal graft-versus-host disease in MHC-matched miceThai M Cao
Department of Medicine, University of Utah School of Medicine, Salt Lake City, 84132, USA
J Immunol 183:462-9. 2009..Further identification of Gvh genes by positional cloning may yield new insight into genetic control mechanisms regulating GVHD and potentially reveal novel approaches for effective GVHD therapy... - HLA DQA1-DQB1 genotypes in Bedouin families with celiac diseaseSusan L Neuhausen
Department of Medical Informatics, University of Utah, Salt Lake City 84108, USA
Hum Immunol 63:502-7. 2002..078). The HLA DQA1 DQB1 high-risk genotypes associated with celiac disease are similar in these Bedouin families with CD to what is observed in Northern and Southern Europeans... - Pairwise shared genomic segment analysis in high-risk pedigrees: application to Genetic Analysis Workshop 17 exome-sequencing SNP dataZheng Cai
Department of Biomedical Informatics, University of Utah, 391 Chipeta Way, Salt Lake City, UT 84108, USA
BMC Proc 5:S9. 2011..7 false positives were identified per pedigree. In conclusion, we have demonstrated the potential of our new pSGS method for localizing rare disease causal variants in common disease using high-risk pedigrees and exome sequence data... - Shared genomic segment analysis: the power to find rare disease variantsStacey Knight
Division of Genetic Epidemiology, University of Utah School of Medicine, Salt Lake City, UT 84108, USA
Ann Hum Genet 76:500-9. 2012..96 Mb region containing the known causal APC gene with genome-wide significance. SGS is a powerful method for detecting rare variants and a valuable complement to genome-wide association studies and linkage analysis... - Pedigree association: assigning individual weights to pedigree members for genetic association analysisStacey Knight
Biomedical Informatics Department, University of Utah, 26 South 2000 East Room 5775 HSEB, Salt Lake City, Utah 84112, USA
BMC Proc 3:S121. 2009..We compare this new method with an existing weighting algorithm, a naïve analysis (relatedness is ignored), and an empirical method that appropriately accounts for all relationships (the gold standard)... - Extracting disease risk profiles from expression data for linkage analysis: application to prostate cancerG Bryce Christensen
Department of Biomedical Informatics, University of Utah, 391 Chipeta Way Suite D, Salt Lake City, Utah 84108 1266, USA
BMC Proc 1:S82. 2007..Our results do indicate there exists potential to augment our current knowledge about the relationships among genes associated with complex diseases using expression data... - Genome-wide linkage using the Social Responsiveness Scale in Utah autism pedigreesHilary Coon
Utah Autism Research Project, Department of Psychiatry and Division of Genetic Epidemiology, University of Utah, 650 Komas Drive, Suite 206, Salt Lake City, UT 84108, USA
Mol Autism 1:8. 2010..Such data are available from the Social Responsiveness Scale (SRS) which is a continuous, quantitative measure of social ability giving scores that range from significant impairment to above average ability... - A genealogical assessment of heritable predisposition to aneurysmsLisa A Cannon Albright
Department of Medical Informatics, University of Utah School of Medicine, Salt Lake City, Utah, USA
J Neurosurg 99:637-43. 2003.... - Linkage of creatinine clearance to chromosome 10 in Utah pedigrees replicates a locus for end-stage renal disease in humans and renal failure in the fawn-hooded ratSteven C Hunt
Cardiovascular Genetics, Department of Internal Medicine, University of Utah School of Medicine, 410 Chipeta Way, Salt Lake City, UT 84108, USA
Kidney Int 62:1143-8. 2002..4. An important question is whether this region can be detected in healthy subjects prior to onset of ESRD by examining creatinine clearance as an indicator of early renal damage... - Meta-genetic association of rheumatoid arthritis and PTPN22 using PedGenie 2.1Karen Curtin
Division of Genetic Epidemiology, Department of Biomedical Informatics, University of Utah School of Medicine, 391 South Chipeta Way, Suite D, Salt Lake City, Utah 84108 1206, USA
BMC Proc 1:S12. 2007..More power to detect associations was achieved in certain analyses by using extra family-based samples, rather than restricting analyses to single cases randomly selected from each pedigree... - No evidence of BRCA2 mutations in chromosome 13q-linked Utah high-risk prostate cancer pedigreesKristina Allen Brady
Genetic Epidemiology Group, Department of Biomedical Informatics, University of Utah School of Medicine, 391 Chipeta Way, Suite D, Salt Lake City, UT 84108 USA
BMC Res Notes 2:94. 2009..CONCLUSION: In this set of high-risk prostate cancer pedigrees with at least nominal linkage evidence to BRCA2, we saw no evidence for segregating BRCA2 protein truncating mutations in heritable prostate cancer... - Genome-wide linkage analysis for celiac disease in North American familiesSusan L Neuhausen
Department of Medical Informatics, University of Utah School of Medicine, Salt Lake City 84108, USA
Am J Med Genet 111:1-9. 2002..Multipoint analyses are not robust to model misspecification, and further development of models is needed. Additional study of these and other families is necessary to validate or rule out the regions implicated in this study... - Meta-analysis of associations of the Ser217Leu and Ala541Thr variants in ELAC2 (HPC2) and prostate cancerNicola J Camp
Am J Hum Genet 71:1475-8. 2002 - Pooled genome linkage scan of aggressive prostate cancer: results from the International Consortium for Prostate Cancer GeneticsDaniel J Schaid
Harwick 7, Mayo Clinic College of Medicine, Rochester, MN 55905, USA
Hum Genet 120:471-85. 2006..This provides a basis for attempts to identify these genes, with potential clinical utility for men with aggressive prostate cancer and their relatives... - A combined genomewide linkage scan of 1,233 families for prostate cancer-susceptibility genes conducted by the international consortium for prostate cancer geneticsJianfeng Xu
Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, NC, USA
Am J Hum Genet 77:219-29. 2005.... - Examination of ELN as a candidate gene in the Utah intracranial aneurysm pedigreesNicole Berthelemy-Okazaki
Department of Medical Informatics, Ogden, Utah, USA
Stroke 36:1283-4. 2005..Subsequent linkage analysis of the ELN region on chromosome 7q11 in high-risk Utah IA pedigrees significantly confirmed linkage between IA and the ELN region... - Genome-wide scans meta-analysis for pulse pressureElias Zintzaras
Center for Clinical Evidence Synthesis, Institute for Clinical Research and Health Policy Studies, Department of Medicine, Tufts New England Medical Center, Tufts University School of Medicine, Boston, MA 02111, USA
Hypertension 50:557-64. 2007..04). None of the bins showed low heterogeneity (P(Q)>0.05), indicating variation in the strength of association. Further investigation of these regions may help to direct the identification of candidate genes for pulse pressure variation... - Genetic variation at the interleukin-1 locus is a determinant of changes in soluble endothelial factors in patients with acute coronary syndromesKausik K Ray
Cardiovascular Research Group, Division of Clinical Sciences NGH, University of Sheffield, Northern General Hospital, Sheffield S5 7AU, U K
Clin Sci (Lond) 103:303-10. 2002..0385). These data indicate that, in the setting of non-ST-elevation ACS, genetic variation at the IL-1 gene locus contributes to the changes in soluble markers of endothelial inflammation... - Familial myelomaNicola J Camp
N Engl J Med 359:1734-5; author reply 1735. 2008 - Association of common missense changes in ELAC2 ( HPC2) with prostate cancer in a Japanese case-control seriesHiromichi Fujiwara
Department of Molecualr Biology, Institute of Gerontology, Nippon Medical School, Kawasaki, Japan
J Hum Genet 47:641-8. 2002..The allele-specific pattern of risk observed in Japanese and familial Caucasian patients was qualitatively similar; however, the magnitude of that risk was considerably greater in Japanese than in Caucasians... - Classification tree analysis: a statistical tool to investigate risk factor interactions with an example for colon cancer (United States)Nicola J Camp
Genetic Epidemiology, Department of Medical Informatics, University of Utah, and Genetic Research, Intermountain Health Care, Salt Lake City 84108, USA
Cancer Causes Control 13:813-23. 2002..Our results highlight the importance of designing studies so that interactions can be addressed... - Analysis of metabolic syndrome phenotypes in Framingham Heart Study families from Genetic Analysis Workshop 13Lynn R Goldin
Genetic Epidemiology Branch, DCEG, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892 7236, USA
Genet Epidemiol 25:S78-89. 2003..Over 40 genome-wide linkage analyses were conducted. Despite the broad range of approaches, several regions of the genome were repeatedly identified across multiple analyses...
Research Grants
- Complex multiple SNP analysis with pedigree dataNICOLA CAMP; Fiscal Year: 2003..abstract_text> ..
- GENETIC ANALYSIS TECHNIQUES FOR COMMON CANCERSNICOLA CAMP; Fiscal Year: 2007....
- Transferability of Tagging-SNPs across disease status: colon cancer and XRCC2NICOLA CAMP; Fiscal Year: 2007..In particular, we will define the limitations of using a neutral panel with an aim to specifically address the potential limitations of using "off-the-shelf" data from the HapMap and the NIEHS SNPs Program. ..
- Genetic Epidemiology of Chronic Lymphocytic LeukemiaNicola J Camp; Fiscal Year: 2010....
- Genetic Epidemiology of Chronic Lymphocytic LeukemiaNicola J Camp; Fiscal Year: 2011..Such a discovery would not only help our understanding of the etiology of CLL, but also may provide information about other lymphoproliferative disorders and may translate to other cancers. ..