Research Topics
Species | Kathryn RoederSummaryAffiliation: Carnegie Mellon University Country: USA Publications
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Publications
Analysis of single-locus tests to detect gene/disease associationsKathryn Roeder
Department of Statistics, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA
Genet Epidemiol 28:207-19. 2005..Finally, when a SNP selection procedure that targets a minimal number of SNPs per gene is applied, the average performances of T(P) and T(R) are indistinguishable...- Association studies for quantitative traits in structured populationsSilviu Alin Bacanu
Department of Psychiatry, University of Pittsburgh School of Medicine, 3811 O Hara Street, Pittsburgh, PA 15213, USA
Genet Epidemiol 22:78-93. 2002..The latter suggests greater power can be achieved by specifying more complex genetic models, but this observation only follows when such models are largely correct and specified a priori... - Improving power in genome-wide association studies: weights tip the scaleKathryn Roeder
Department of Statistics, Carnegie Mellon University, Pittsburgh, PA 15213, USA
Genet Epidemiol 31:741-7. 2007..If no groups show apparent signals, then the weights will be approximately equal. The only restriction on the procedure is that the number of groups be small, relative to the total number of tests performed... 
Searching for disease susceptibility variants in structured populationsKathryn Roeder
Department of Statistics, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213 3890, USA
Genomics 93:1-4. 2009..We review available methods for modeling genetic ancestry based on the information gleaned from the SNP array. Methods for selecting control samples with genetic ancestry similar to the case samples are described...- Using linkage genome scans to improve power of association in genome scansKathryn Roeder
Department of Statistics, Carnegie Mellon University, Pittsburgh, PA 15213 3890, USA
Am J Hum Genet 78:243-52. 2006..This inquiry reveals that, among genetic models that are seemingly equal in genetic information, some are much more promising than others for this mode of analysis... - Characterization of multilocus linkage disequilibriumAlessandro Rinaldo
Department of Statistics, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA
Genet Epidemiol 28:193-206. 2005..We also propose a new, efficient method to select SNPs for association analysis, namely tag SNPs. These methods compare favorably to similar blocking and tagging methods using simulations... - Screen and clean: a tool for identifying interactions in genome-wide association studiesJing Wu
Department of Statistics, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA
Genet Epidemiol 34:275-85. 2010..When the method is applied to data obtained from the Wellcome Trust Case Control Consortium study of Type 1 Diabetes it uncovers evidence supporting interaction within the HLA class II region as well as within Chromosome 12q24... - Integration of association statistics over genomic regions using Bayesian adaptive regression splinesXiaohua Zhang
Department of Statistics, Carnegie Mellon University, Pittsburg, PA 15213, USA
Hum Genomics 1:20-9. 2003.... - Vitamin D insufficiency and severe asthma exacerbations in Puerto Rican childrenJohn M Brehm
Division of Pediatric Pulmonary Medicine, Allergy and Immunology, Department of Pediatrics, Children s Hospital of Pittsburgh of UPMC, 4401 Penn Avenue, Pittsburgh, PA 15224, USA
Am J Respir Crit Care Med 186:140-6. 2012..Little is known about vitamin D and asthma in Puerto Ricans... - Pleiotropy and principal components of heritability combine to increase power for association analysisLambertus Klei
Department of Psychiatry, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
Genet Epidemiol 32:9-19. 2008..This cross-validation approach maintains the type I error control and yet utilizes the data efficiently, resulting in a powerful test for association... 
Discovering genetic ancestry using spectral graph theoryAnn B Lee
Department of Statistics, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA
Genet Epidemiol 34:51-9. 2010..Often the results from Spectral-GEM are straightforward to interpret and therefore useful in association analysis. We illustrate the new algorithm with an analysis of the POPRES data [Nelson et al., 2008]...- Copy number variants for schizophrenia and related psychotic disorders in Oceanic Palau: risk and transmission in extended pedigreesNadine Melhem
Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15213, USA
Biol Psychiatry 70:1115-21. 2011.... - Candidate gene analysis of femoral neck trabecular and cortical volumetric bone mineral density in older menLaura M Yerges
Epidemiology, University of Pittsburgh, Pittsburgh, PA 15261, USA
J Bone Miner Res 25:330-8. 2010..These findings identify novel genetic variants for cortical and trabecular vBMD and raise the possibility that some genetic loci may be unique for each bone compartment... - On the use of general control samples for genome-wide association studies: genetic matching highlights causal variantsDiana Luca
Department of Statistics, Carnegie Mellon University Pittsburgh, PA 15213, USA
Am J Hum Genet 82:453-63. 2008..We perform a GWA by matching Americans with type 1 diabetes (T1D) to controls from Germany. Despite the complex study design, these analyses identify numerous loci known to confer risk for T1D... - Mixture models for linkage analysis of affected sibling pairs and covariatesBernie Devlin
Department of Psychiatry, University of Pittsburgh School of Medicine, 3811 O Hara Street, Pittsburgh, PA 15213, USA
Genet Epidemiol 22:52-65. 2002.... - Genetic liability to schizophrenia in Oceanic Palau: a search in the affected and maternal generationBernie Devlin
Department of Psychiatry, University of Pittsburgh School of Medicine, 3811 O Hara Street, Pittsburgh, PA 15213, USA
Hum Genet 121:675-84. 2007..Regions in which at least two adjacent markers produced substantial association statistics include 2p12-11.2, 2q24.1-32.1, 6q12-14.1, 10q23.2-24.21, 12q23.2-24.21 and 17q23.2-23.3... - On the identification of disease mutations by the analysis of haplotype similarity and goodness of fitJung-Ying Tzeng
Department of Statistics, Carnegie Mellon University, Pittsburgh, PA 15213, USA
Am J Hum Genet 72:891-902. 2003..We show that both approaches can be powerful, but under quite different conditions. Moreover, we show that the power of both approaches can be enhanced by clustering rare haplotypes from the distributions before performing a test... - Analysis of multilocus models of associationB Devlin
Department of Psychiatry, University of Pittsburgh, Pennsylvania 15213, USA
Genet Epidemiol 25:36-47. 2003..Naturally, as for any method seeking to explore complex genetic models, the power of the methods is limited by sample size and model complexity... - Evolutionary-based association analysis using haplotype dataHoward Seltman
Department of Statistics, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA
Genet Epidemiol 25:48-58. 2003..The exploratory analyses, such as error checking, estimation of haplotype frequencies, and tools for building cladograms, should facilitate the implementation of cladistic-based association analysis with haplotypes... - Using ancestry matching to combine family-based and unrelated samples for genome-wide association studiesAndrew Crossett
Department of Statistics, Carnegie Mellon University, Pittsburgh, PA 15213, USA
Stat Med 29:2932-45. 2010..Once samples are well-matched, mCLR yields comparable power to competing methods while ensuring excellent control over Type I error... - Common genetic variants in the CLDN2 and PRSS1-PRSS2 loci alter risk for alcohol-related and sporadic pancreatitisDavid C Whitcomb
Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
Nat Genet 44:1349-54. 2012..These results could partially explain the high frequency of alcohol-related pancreatitis in men (male hemizygote frequency is 0.26, whereas female homozygote frequency is 0.07)... - High-density association study of 383 candidate genes for volumetric BMD at the femoral neck and lumbar spine among older menLaura M Yerges
Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, USA
J Bone Miner Res 24:2039-49. 2009.... - Do common variants play a role in risk for autism? Evidence and theoretical musingsBernie Devlin
Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
Brain Res 1380:78-84. 2011..We lay out this theory, calculate plausible distributions, and discuss the results in the context of results from GWA studies for schizophrenia... - De novo mutations revealed by whole-exome sequencing are strongly associated with autismStephan J Sanders
Program on Neurogenetics, Child Study Center, Department of Psychiatry, Yale University School of Medicine, 230 South Frontage Road, New Haven, Connecticut 06520, USA
Nature 485:237-41. 2012.... - African ancestry and lung function in Puerto Rican childrenJohn M Brehm
Division of Pediatric Pulmonary Medicine, Allergy and Immunology, Department of Pediatrics, Children s Hospital of Pittsburgh of UPMC, University of Pittsburgh School of Medicine, Pittsburgh, PA 15224, USA
J Allergy Clin Immunol 129:1484-90.e6. 2012..Puerto Rican and African American subjects share a significant proportion of African ancestry. Recent findings suggest that African ancestry influences lung function in African American adults... - TOMM40 poly-T repeat lengths, age of onset and psychosis risk in Alzheimer diseaseSu Hee Chu
Department of Statistics, Carnegie Mellon University, Pittsburgh, PA, USA
Neurobiol Aging 32:2328.e1-9. 2011..Our findings do not support the association of poly-T repeat length with age of onset in LOAD. The clinical implications of this repeat length polymorphism remain to be elucidated... - SNP-based analysis of genetic substructure in the German populationMichael Steffens
Institute of Medical Biometry, Informatics and Epidemiology, Rheinische Friedrich Wilhelms University, Bonn, Germany
Hum Hered 62:20-9. 2006..Two of the three samples, POPGEN (n = 720) and SHIP (n = 709), are from north and north-east Germany, respectively, and one sample, KORA (n = 730), is from southern Germany... - Genomic Control to the extremeB Devlin
Nat Genet 36:1129-30; author reply 1131. 2004