Chia-Ling Kuo, Ph.D.
Biostatistics & Computational Biology Branch
Chia-Ling Kuo, Ph.D.
Fellow – Research
Chia-Ling Kuo joined the NIEHS in June, 2010, and is currently a research fellow under the supervision of Dmitri Zaykin. Chia-Ling’s primary research interest is statistical genetics, with her most recent work focusing on choosing a sample size and a number of top-ranking loci for replication studies. In addition, she has worked on rare variant association methods to explore next-generation sequencing data and multi-locus association methods to unravel the heritability unexplained by susceptibility loci, typically identified by univariate analysis. More details regarding her research interest are summarized as follows.
- Genome-wide association analysis: estimating the effect size distribution accounting for the winner’s curse; planning a discovery and/or replication study in terms of a sample size and a number of top-ranking loci to follow up; methods to adjust for multiple testing and biased distribution of extreme statistics due to heterogeneous populations and/or cryptic relatedness
- Rare variant analysis: collapsing genetic effects with the adjustment for effect directions
- Multi-locus association approaches (utilizing functional information): genotype-based methods along with a weighting scheme, haplotype-based methods, allele-combination methods, gene-based analysis, pathway analysis, and protein network analysis
Kuo received her Ph.D. from the Department of Biostatistics, University of Pittsburgh. Her dissertation was titled as “Topics in Statistical Genetics for Human Gene Mapping.” She studied a number of score denominators for quantitative trait locus linkage analysis with various trait distributions, ascertainment schemes, and distributions of pedigree types. Additionally, she compared numerous genetic association tests and logistic regression models using case-control data in the scopes of single-locus analysis, scan with covariates, and genome-wide analysis. She also had the opportunity of leading a genetic project dealing with Age-related Macular Degeneration (AMD), in which she analyzed the association between genetic loci and the risk of AMD.
- McKay GJ, Patterson CC, Chakravarthy U, Dasari S, Klaver CC, Vingerling JR, Ho L, de Jong PT, Fletcher AE, Young IS, Seland JH, Rahu M, Soubrane G, Tomazzoli L, Topouzis F, Vioque J, Hingorani AD, Sofat R, Dean M, Sawitzke J, Seddon JM, Peter I, Webster AR, Moore AT, Yates JR, Cipriani V, Fritsche LG, Weber BH, Keilhauer CN, Lotery AJ, Ennis S, Klein ML, Francis PJ, Stambolian D, Orlin A, Gorin MB, Weeks DE, Kuo CL, Swaroop A, Othman M, Kanda A, Chen W, Abecasis GR, Wright AF, Hayward C, Baird PN, Guymer RH, Attia J, Thakkinstian A, Silvestri G. 2011. Evidence of association of APOE with age-related macular degeneration - a pooled analysis of 15 studies. Hum Mutat 32:1407-1416.[Abstract]
- Kuo CL and Zaykin D. 2011. Novel rank-based approaches for discovery and replication in genome-wide association studies. Genetics 189:329-340.[Abstract]
- McKay GJ, Silvestri G, Chakravarthy U, Dasari S, Fritsche LG, Weber BH, Keilhauer CN, Klein ML, Francis PJ, Klaver CC, Vingerling JR, Ho L, de Jong N, Dean M, Sawitzke J, Baird PN, Guymer RH, Stambolian D, Orlin A, Seddon JM, Peter I, Wright AF, Hayward C, Lotery AJ, Ennis S, Gorin MB, Weeks DE, Kuo CL, Hingorani AD, Sofat R, Cipriani V, Swaroop A, Othman M, Kanda A, Chen W, GR Abecasis GR, JR Yates JR, AR Webster AR, AT Moore AT, JH Seland JH, Rahu M, Soubrane G, Tomazzoli L, Topouzis F, Vioque J, Fletcher AE, Patterson CC. 2011. Variations with age in Apolipoprotein E frequency in a pooled analysis of a large group of older people. Am J Epidemiol 173:1357-1364.[Abstract]
- Kuo CL, Feingold E. 2009. What’s the best statistic for a simple test of genetic association in a case-control study? Genetic Epidemiol 34:246-253.[Abstract]
- Bhattacharjee S, Kuo CL, Mukhopadhyay N, Brock GN, Weeks DE, Feingold E. 2008. Robust Score Statistics for QTL linkage analysis. Am J Hum Genet 82:567-582.[Abstract]