Research Topics
Genomes and GenesSpecies | Dan Yu LinSummaryAffiliation: University of North Carolina Country: USA Publications
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Detail Information
Publications
Evaluation of population impact of candidate polymorphisms for coronary heart disease in the Framingham Heart Study Offspring CohortYu Yan
Department of Epidemiology, University of North Carolina, 2101 McGavran Greenberg Hall, Chapel Hill, North Carolina 27599, USA
BMC Proc 3:S118. 2009..The development of this novel measure of population impact creates a more comprehensive estimate of population impact over the life course of disease, which may help us to better understand genetic susceptibility at the population level...
Semiparametric methods for genome-wide linkage analysis of human gene expression dataGuoqing Diao
Department of Statistics, George Mason University, 4400 University Drive, MS 4A7, Fairfax, Virginia 22030, USA
BMC Proc 1:S83. 2007..Particularly, we apply the SQTL mapping method and the Monte-Carlo approach to the gene expression data provided by Genetic Analysis Workshop 15...
Longitudinal age-dependent effect on systolic blood pressureBonnie R Joubert
Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, 2101 McGavran Greenberg Hall, CB 7435, Chapel Hill, North Carolina 27599, USA
BMC Proc 3:S87. 2009..The value of the 2-df test for screening genetic interaction effects could not be established in this study...
Nonparametric tests for the gap time distributions of serial events based on censored dataD Y Lin
Department of Biostatistics, University of North Carolina, Chapel Hill 27599 7400, USA
Biometrics 57:369-75. 2001..An illustration with data taken from a colon cancer study is provided. The related problem of testing the independence of two successive gap times is also studied...
Simple and efficient analysis of disease association with missing genotype dataD Y Lin
Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 7420, USA
Am J Hum Genet 82:444-52. 2008..An application to a case-control study on rheumatoid arthritis revealed several loci that deserve further investigations...
Haplotype-based association analysis in cohort studies of unrelated individualsD Y Lin
Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina 27599 7420, USA
Genet Epidemiol 26:255-64. 2004....
Assessing genomewide statistical significance in linkage studiesD Y Lin
Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina 27599, USA
Genet Epidemiol 27:202-14. 2004..The usefulness of the proposed approach is demonstrated through extensive simulation studies and an application to the nuclear family data from the Tenth Genetic Analysis Workshop...
An efficient Monte Carlo approach to assessing statistical significance in genomic studiesD Y Lin
Department of Biostatistics, University of North Carolina, McGavran Greenberg Hall, CB 7420, Chapel Hill, NC 27599 7420, USA
Bioinformatics 21:781-7. 2005....
On the Breslow estimatorD Y Lin
Department of Biostatistics, University of North Carolina, CB 7420, Chapel Hill, NC 27599 7420, USA
Lifetime Data Anal 13:471-80. 2007..The present paper describes the Breslow estimator and its tremendous impact on the theory and practice of survival analysis...
Evaluating statistical significance in two-stage genomewide association studiesD Y Lin
Department of Biostatistics, University of North Carolina, Chapel Hill, 27599 7420, USA
Am J Hum Genet 78:505-9. 2006....
Semiparametric regression analysis of longitudinal data with informative drop-outsD Y Lin
Department of Biostatistics, University of North Carolina, CB 7420 McGavran Greenberg, Chapel Hill, NC 27599 7420, USA
Biostatistics 4:385-98. 2003..Extensive simulation studies demonstrate that the proposed methods are suitable for practical use. Illustrations with data taken from two AIDS clinical trials are provided...
Proper analysis of secondary phenotype data in case-control association studiesD Y Lin
Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina 27599 7420, USA
Genet Epidemiol 33:256-65. 2009..We demonstrate the pitfalls of the standard methods and the advantages of the new methods both analytically and numerically. The relevant software is available at our website...
Maximum likelihood estimation of haplotype effects and haplotype-environment interactions in association studiesD Y Lin
Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina 27599, USA
Genet Epidemiol 29:299-312. 2005..An application to the Carolina Breast Cancer Study reveals significant haplotype effects and haplotype-smoking interactions in the development of breast cancer...
Meta-analysis of genome-wide association studies with overlapping subjectsDan Yu Lin
Department of Biostatistics, University of North Carolina, Chapel Hill, NC 27599, USA
Am J Hum Genet 85:862-72. 2009..The advantages of the new approach are illustrated with empirical data from two sets of genome-wide association studies...
Model-checking techniques based on cumulative residualsD Y Lin
Department of Biostatistics, University of North Carolina, Chapel Hill 27599 7420, USA
Biometrics 58:1-12. 2002..The proposed techniques are particularly useful in checking the functional form of a covariate and the link function. Illustrations with several medical studies are provided...
Meta-analysis of genome-wide association studies: no efficiency gain in using individual participant dataD Y Lin
Department of Biostatistics, University of North Carolina, McGavran Greenberg Hall, CB 7420, Chapel Hill, NC 27599 7420, USA
Genet Epidemiol 34:60-6. 2010..Collating only summary results will increase the number and representativeness of available studies, simplify data collection and analysis, reduce resource utilization, and accelerate discovery...
Regression analysis of incomplete medical cost dataD Y Lin
Department of Biostatistics, University of North Carolina, CB 7420 McGavran Greenberg, Chapel Hill 27599 7420, USA
Stat Med 22:1181-200. 2003....
Common genetic variation in adiponectin, leptin, and leptin receptor and association with breast cancer subtypesSarah J Nyante
Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
Breast Cancer Res Treat 129:593-606. 2011..Replication in additional studies where breast cancer subtypes have been defined is necessary to confirm these potential associations...
Efficient semiparametric estimation of haplotype-disease associations in case-cohort and nested case-control studiesD Zeng
Department of Biostatistics, CB# 7420, University of North Carolina, Chapel Hill, NC 27599-7420, USA
Biostatistics 7:486-502. 2006..An application to a major cardiovascular study is provided...
Estimating haplotype-disease associations with pooled genotype dataD Zeng
Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina 27599-7420, USA
Genet Epidemiol 28:70-82. 2005..The results show that DNA pooling is highly efficient in studying haplotype-disease associations. As a by-product, this work provides valid and efficient methods for estimating haplotype-disease associations with unpooled DNA samples...
Detecting haplotype effects in genomewide association studiesB E Huang
Department of Biostatistics, University of North Carolina, North Carolina 27599 7420, USA
Genet Epidemiol 31:803-12. 2007..We applied the new method to a case-control study on rheumatoid arthritis and identified several loci worthy of further investigations...
Efficient association mapping of quantitative trait loci with selective genotypingB E Huang
Department of Biostatistics, University of North Carolina, Chapel Hill 27599 7420, USA
Am J Hum Genet 80:567-76. 2007..We demonstrate that the likelihood-based methods are highly effective in identifying causal variants and are substantially more powerful than existing methods...
Semiparametric methods for mapping quantitative trait loci with censored dataGuoqing Diao
Department of Biostatistics, CB No. 7420, University of North Carolina, Chapel Hill, North Carolina 27599-7420, USA
Biometrics 61:789-98. 2005..Extensive simulation studies demonstrate that the proposed methods perform well in practical situations. Applications to two animal studies are provided...
A general framework for detecting disease associations with rare variants in sequencing studiesDan Yu Lin
Department of Biostatistics, University of North Carolina, Chapel Hill, NC 27599, USA
Am J Hum Genet 89:354-67. 2011..An application to a deep-resequencing study of drug targets led to a discovery of rare variants associated with total cholesterol. The relevant software is freely available...
Assessing the sensitivity of regression results to unmeasured confounders in observational studiesD Y Lin
Department of Biostatistics, University of Washington, Seattle 98195, USA
Biometrics 54:948-63. 1998..We describe applications on two major medical studies...
Semiparametric analysis of recurrent events data in the presence of dependent censoringDebashis Ghosh
Department of Biostatistics, University of Michigan, 1420 Washington Heights, Ann Arbor, Michigan, USA
Biometrics 59:877-85. 2003..The finite-sample behavior of the new inference procedures is evaluated through simulation studies. An application to recurrent hospitalization data taken from a study of intravenous drug users is provided...
Fine-mapping and initial characterization of QT interval loci in African AmericansChristy L Avery
Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
PLoS Genet 8:e1002870. 2012....
Goodness-of-fit methods for generalized linear mixed modelsZhiying Pan
Department of Biostatistics, University of North Carolina, CB 7420, McGavran-Greenberg Hall, Chapel Hill, 27599-7420, USA
Biometrics 61:1000-9. 2005..Extensive simulation studies show that the proposed goodness-of-fit tests have proper sizes and are sensitive to model misspecification. Applications to two medical studies lead to improved models...
Semiparametric transformation models with random effects for joint analysis of recurrent and terminal eventsDonglin Zeng
Department of Biostatistics, CB 7420, University of North Carolina, Chapel Hill, North Carolina 27599 7420, USA
Biometrics 65:746-52. 2009..Extensive simulation studies demonstrate that the proposed inference procedures perform well in realistic settings. Applications to two HIV/AIDS studies are presented...
An efficient resampling method for assessing genome-wide statistical significance in mapping quantitative trait LociFei Zou
Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina 27599 7420, USA
Genetics 168:2307-16. 2004..The usefulness of the proposed method is demonstrated through simulation studies and an application to a Drosophila backcross...
A powerful and robust method for mapping quantitative trait loci in general pedigreesG Diao
Department of Biostatistics, University of North Carolina, Chapel Hill, NC 27599-7420, USA
Am J Hum Genet 77:97-111. 2005..The computer program that implements the new method is freely available...
Improving the power of association tests for quantitative traits in family studiesG Diao
Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina 27599-7420, USA
Genet Epidemiol 30:301-13. 2006..We have implemented the new methods in a freely available computer program...
Poisson regression with missing durations of exposureD Y Lin
Department of Biostatistics, University of Washington, Seattle 98195, USA
Biometrics 55:252-7. 1999..We describe an application to a population-based case-control study assessing the transient increase in the risk of primary cardiac arrest during leisure-time physical activity...
Proportional means regression for censored medical costsD Y Lin
Department of Biostatistics, University of Washington, Seattle 98195, USA
Biometrics 56:775-8. 2000..The estimator is consistent and asymptotically normal with an easily estimable covariance matrix. Simulation studies show that the proposed methodology is appropriate for practical use. An application to AIDS is provided...
Semiparametric variance-component models for linkage and association analyses of censored trait dataG Diao
Department of Biostatistics, University of North Carolina, Chapel Hill, NC 27599, USA
Genet Epidemiol 30:570-81. 2006..We provide an application to the age at onset of alcohol dependence data from the Collaborative Study on the Genetics of Alcoholism. A computer program is freely available...
Efficient resampling methods for nonsmooth estimating functionsDonglin Zeng
Department of Biostatistics, CB 7420, University of North Carolina, Chapel Hill, NC 27599 7420, USA
Biostatistics 9:355-63. 2008..Its usefulness is illustrated with heteroscedastic quantile regression and censored data rank regression. Numerical results based on simulated and real data are provided...
Model-checking techniques for stratified case-control studiesPatrick G Arbogast
Department of Biostatistics, Vanderbilt University, S 2323 Medical Center North, Nashville, TN 37232 2158, USA
Stat Med 24:229-47. 2005..Simulation studies demonstrate that the proposed methods perform well in practical settings. Illustration with an oesophageal cancer study is provided...
Mapping quantitative trait loci with censored observationsGuoqing Diao
Department of Biostatistics, University of North Carolina, Chapel Hill, North Carolina 27599-7420, USA
Genetics 168:1689-98. 2004..In addition, we show how to assess genome-wide statistical significance. The performance of the proposed methods is evaluated through extensive simulation studies. An application to a mouse cross is provided...
A variable selection method for genome-wide association studiesQianchuan He
Department of Biostatistics, University of North Carolina, Chapel Hill, NC 27599, USA
Bioinformatics 27:1-8. 2011..Existing methods for joint analysis of GWAS data tend to miss causal SNPs that are marginally uncorrelated with disease and have high false discovery rates (FDRs)...
Methods for analyzing health care utilization and costsP Diehr
Department of Biostatistics, University of Washington, Seattle 98195, USA
Annu Rev Public Health 20:125-44. 1999..We also address issues of study design and new methods for dealing with censored data. Examples are presented...
Survival analysis in clinical trials: past developments and future directionsT R Fleming
Department of Biostatistics, Box 357232, University of Washington, Seattle, Washington 98195, USA
Biometrics 56:971-83. 2000....
Association of genetic variants and incident coronary heart disease in multiethnic cohorts: the PAGE studyNora Franceschini
Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
Circ Cardiovasc Genet 4:661-72. 2011..The association of 13 published CHD SNPs was examined in 5 ancestry groups of 4 large US prospective cohorts...
Time-dependent covariates in the Cox proportional-hazards regression modelL D Fisher
Department of Biostatistics, University of Washington, Seattle 98195 7232, USA
Annu Rev Public Health 20:145-57. 1999..The estimated probability of an event over time is not related to the hazard function in the usual fashion. An appendix summarizes the mathematics of time-dependent covariates...
Electrocardiographic QT interval prolongation and risk of primary cardiac arrest in diabetic patientsEric A Whitsel
Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
Diabetes Care 28:2045-7. 2005
Association of polymorphisms in the CRP gene with circulating C-reactive protein levels and cardiovascular eventsLeslie A Lange
Department of Genetics, University of North Carolina, Chapel Hill, NC 27599 7264, USA
JAMA 296:2703-11. 2006..C-reactive protein (CRP) is an inflammation protein that may play a role in the pathogenesis of cardiovascular disease (CVD)...
Digoxin therapy and the risk of primary cardiac arrest in patients with congestive heart failure: effect of mild-moderate renal impairmentThomas D Rea
Cardiovascular Health Research Unit, University of Washington, Department of Medicine, Metropolitan Park, 1730 Minor Avenue, East Tower, Seattle, WA 98101, USA
J Clin Epidemiol 56:646-50. 2003..The cardiac safety of digoxin therapy for congestive heart failure (CHF) is a source of concern, especially among those with renal impairment...
Prolonged follow-up of patients in the U.S. multicenter trial of ursodeoxycholic acid for primary biliary cirrhosisBurton Combes
University of Texas Southwestern Medical Center at Dallas, Dallas, Texas 75390-9151, USA
Am J Gastroenterol 99:264-8. 2004....
Multistage sampling for genetic studiesRobert C Elston
Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, Ohio 44106, USA
Annu Rev Genomics Hum Genet 8:327-42. 2007..Finally, we note that the sampling of family data for linkage analysis is not a practice that should be automatically discontinued...
Inhaled beta-2 adrenergic receptor agonists and primary cardiac arrestRozenn N Lemaitre
Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington 98101, USA
Am J Med 113:711-6. 2002..We sought to investigate if short-acting, inhaled beta2-adrenergic receptor agonists were associated with higher risk of primary cardiac arrest in patients with asthma or chronic obstructive pulmonary disease (COPD)...
Research Grants
- STATISTICAL METHODS IN CANCER RESEARCHDanyu Lin; Fiscal Year: 2010..This research will not only significantly advance the fields of survival analysis, longitudinal data analysis and statistical genetics, but will also provide valuable new tools to cancer researchers. ..
- STATISTICAL METHODS IN CANCER RESEARCHDanyu Lin; Fiscal Year: 2009..abstract_text> ..
- Semiparametric Regression Analysis of Censored DataDanyu Lin; Fiscal Year: 2007..This research will not only significantly advances the fields of survival analysis and longitudinal data analysis, but will also provide valuable new tools to biomedical researchers. ..
- STATISTICAL METHODS IN CURRENT CANCER RESEARCHDanyu Lin; Fiscal Year: 2007..This research will not only advance the fields of longitudinal data analysis, survival analysis and statistical genetics, but will also provide valuable new tools to cancer researchers. ..
- Semiparametric Regression Analysis of Censored DataDanyu Lin; Fiscal Year: 2004..Applications to real medical studies will be provided. The research results will be disseminated to practicing statisticians and medical investigators via publications, lectures and software distributions. ..
- STATISTICAL METHODS IN CURRENT CANCER RESEARCHDanyu Lin; Fiscal Year: 2003..The usefulness of the proposed methods will be illustrated with real cancer studies. The research results will be disseminated to practicing statisticians and medical investigators via publications, lectures and software distributions. ..
- SEMIPARAMETRIC REGRESSION ANALYSES OF CENSORED DATADanyu Lin; Fiscal Year: 2000..All the proposed methods will be implemented in computer programs for public use and applied to real biomedical studies. ..
- STATISTICAL METHODS IN CANCER RESEARCHDanyu Lin; Fiscal Year: 2009..PUBLIC HEALTH RELEVANCE: The broad, long-term objectives of this research are the developments of statistical methods for the designs and analysis of clinical and epidemiological cancer studies, with or without genetic components. ..
