Lan Zhu
           

EDUCATION:

Ph.D., Biological Statistics and Computation Biology, Cornell University
M.S., Biological Statistics and Computation Biology, Cornell University
B. Med., Public Health, Peking University


ACADEMIC POSITION:

Professor
Department of Statistics, Oklahoma State University, 2020-present

Associate Professor
Department of Statistics, Oklahoma State University, 2013-2020

Assistant Professor
Department of Statistics, Oklahoma State University, 2007-2013

Postdoctoral Fellow
Department of Clinical Science, College of Veterinary Medicine, Cornell University, 2006-2007


RESEARCH INTERESTS:

  • Genetic Statistics
  • Medical Statistics
  • Biostatistics
  • Statistical Learning


HONORS AND AWARDS:

Member of First Place Team Receive President's Cup Award for Creative Interdisciplinarity, OSU, 2013   

Finalist of Regents Distinguished Teaching Award, Oklahoma State University, 2012   

OSU A&S Travel Award, Oklahoma State University, 2008, 2009, 2011, 2015   

Bioinformatics and Engtangled Genomes Workshop Faculty Scholarship Award, OSU, 2012   

NSF and NIH ICQG Awards, 2007   

Center for Vertebrate Genomics Travel Award, Cornell University, 2006   

Graduate School Travel Award, Cornell University, 2006   

Outstanding Teaching Assistant Award, School of Life and Agriculture, Cornell University, 2005   

Hsien Wu and Daisy Yen Wu Scholarship, Cornell University, 2004   

NSF Institute for Pure and Applied Mathematics (IPAM) Travel Award, 2004   


SELECTED PEER-REVIEWED PUBLICATIONS:

(* denotes advisee)
Hu X*, Carver B, Powers C, Yan L, Zhu L, Chen C. Effectiveness of Genomic Selection by Response to Selection for Winter Wheat Variety Improvement. The plant Genome. doi: https://doi.org/10.1101/537167. 2019

Chen S, Cao T, Tanaka N, Gao T, Zhu L, Zou CB. Hydrological Properties of Litter Layers in Mixed Forests in Mt. Qingling, China. iForest – Biogeosciences and Forestry 11(2): 243-250. 2018

Yang Y, Gao J, Cheng W, Pan X, Yang Y, Chen Y, Dai Q*, Zhu L, Zhou Y, Jiang Q. Three Gorges Dam: Polynomial regression modeling of water level and the density of Schistosome-transmitting snails Oncomelania hupensis. BMC: Parasites & Vectors 11: 183.https://doi.org/10.1186/s13071-018-2687-x. 2018

Yang Y, Zheng S, Yang Y, Cheng W, Pan X, Dai Q*, Chen Y, Zhu L, Jiang Q, Zhou Y. Three Gorges Dam: Does the Flooding Time Determine the Distribution of Schistosome-Transmitting Snails in the Middle and Lower Reaches of the Yangtze River, China? International Journal of Environmental Research and Public Health. 15(7): 1304; doi:10.3390/ijerph15071304. 2018

Guo Y, Wu Y, Anderson J, MOss J, Zhu L, Fu J. SSR Marker Development, Linkage Mapping, and QTL Analysis for Establishment Rate in Common Bermudagrass. The Plant Genome. Volume 9. doi: 10.3835/plantgenome2016.07.0074. 2016

Lin F, Manisseri C, Fagerstrom A, Peck M, Vega-Sanchez M, Williams B, Chiniquy D, Saha P, Pattathil S, Conlin B, Zhu L, Hahn M, Willats W, Scheller H, Ronald P, Bartley L. Cell Wall Composition and Candidate Biosynthesis Gene Expression During Rice Development. Plant Cell Physiology. 57 (10): 2058-2075. 2016

Guo Y, Wu Y, Anderson J, MOss J, Zhu L. Disomic inheritance and segregation distortaion of SSR markers in two popuations of Cynodon dactylon (L.) Pers. var. dactylon. PLoS ONE 10(8): e0136332. doi:10.1371/journal.pone.0136332. 2015

Ku H* and Zhu L. Penalized likelihood regression approach for quantitative trait loci mapping from samples with related individuals. Austin Biometrics and Biostatistics. 1(2): 1-7. 2014

Zhu L, Chen S*, Jiang Z, Zhang Z, Ku H*, Li X*, McCann M, Harris S, Lust G, Jones P, and Todhunter R. Identification of quantitative trait loci for canine hip dysplasia by two sequential multipoint linkage analyses. Journal of Applied Statistics, 39(8): 1719-1731, 2012.

Duan F, Ogden D, Xu L, Liu K, Lust G, Sandler J, Dykes N, Zhu L, Harris S, Jones P, Zhang Z, and Todhunter R. Principle component analysis of canine hip dysplasia phenotypes and their statistical power for genome-wide association mapping. Journal of Applied Statistics. DOI:10.1080/02664763.2012.740617. 2012

Zhu L, Feng F, Bustamante C. A Regression-based approach for estimating recombination rate from population genomic data. International Conference on Bioinformatics & Computational Biology, BIOCOMP 2011, 1: 215-221, 2011.

Friedenberg S, Zhu L, Zhang Z, Foels W, Schweitzer P, Wang W, Fisher P, Dykes N, Corey E, Vernier-Singer M, Jung S, Sheng X, Hunter L, McDonough S, Lust G, Bliss S, Krotscheck U, Gunn T, Todhunter R. Evaluation of a fibrillin 2 gene haplotype associated with hip dysplasia and incipient osteoarthritis in dogs. Am J Vet Res. 72(4): 530-540, 2011.

Guo G, Zhou Z, Wang Y, Zhao K, Zhu L, Lust G, Hunter L, Friedenberg S, Li J, Zhang Y, Harris S, Jones P, Sandler J, Krotscheck U, Todhunter R. Canine hip dysplasia is predictable by genotyping. Osteoarthritis and Cartilage 19: 420-429, 2011.

Hou Y, Wang Y, Lust G, Zhu L, Zhang Z, and Todhunter, R. Retrospective analysis for genetic improvement of hip joints of cohort Labrador Retriever in the United States: 1970-2007. PLoS ONE 5(2): e9410. Doi: 10.1371/journal.pone.0009410, 2010.

Zhou Z, Sheng X, Zhang Z, Zhao K, Zhu L, Guo G, Friedenberg S, Hunter L, Foels W, Hornbuckle W, Krotscheck U, Corey E, Moise N, Dykes N, Li J, Xu S, Du L, Wang Y, Sandler J, Acland G, Lust G, Todhunter R. Differential genetic regulation of canine hip dysplasia and osteoarthritis. PloS ONE 5(10): e13219. Doi: 10. 1371/journal.pone.0013219, 2010.

Zhu L, Zhang Z, Friedenberg S, Jung SW, Phavaphutanon J, Vernier-Singer M, Corey E, Mateescu R, Dykes N, Sandler J, Acland G, Lust G, and Todhunter R. (review) The long (and winding) road to gene discovery for canine hip dysplasia. The Veterinary Journal 181(2): 97-110, 2009.

Gray M, Granka J, Bustamante C, Sutter N, Boyko A, Zhu L, Ostrander E, Wayne R. Linkage disequilibrium and demographic history of wild and domestic canids. Genetics 181(4): 1493-1505, 2009.

Zhang Z, Zhu L, Sandler J, Friedenberg S, Egelhoff J, Williams A, Dykes N, Hornbuckle W, Krotscheck U, Moise N, Lust G, Todhunter R. Estimation of heritabilities, genetic correlations, and breeding values of four traits that collectively define hip dysplasia in dogs. Am J Vet Res. 70(4): 483-492, 2009.

Zhu L, Zhang Z, Feng F, Schweitzer P, Phavaphutanon J, Vernier-Singer M, Corey E, Friedenberg S, Mateescu R, Williams A, Lust G, Acland G, Todhunter R. Single nucleotide polymorphisms refine quantitative trait loci intervals for hip joint laxity in dogs. Animal Genetics. 39: 141-146, 2008.

Sutter N, Bustamante C, Chase K, Gray M, Zhao K, Zhu L, Padhukasahasram B, Karlins E, Davis S, Jones P, Quignon P, Johnson G, Parker H, Fretwell N, Mosher D, Lawler D, Satyaraj E, Nordborg M, Lark K, Wayne R, Ostrander E. 2007. A single IGF1 allele is a major determinant of small size in dogs. Science 316: 112 – 115, 2007.

Hernandez R, Williamson S, Zhu L, Bustamante C. Context-dependent mutation rates may cause spurious signatures of a fixation bias favoring higher GC-content in humans. Mol Biol Evol. 24(10): 2196-2202, 2007.

Williamson S, Hernandez R, Alon A, Zhu L, Nielsen R, and Bustamante C. Simultaneous inference of selection and population growth from patterns of variation in the human genome. PNAS. 102(22): 7882-7887, 2005.

Zhu L, and Bustamante C. A composite likelihood approach for detecting directional selection from DNA sequence data. Genetics 170: 1411-1421, 2005.


GRANTS:

PI: Lan Zhu
Date: 01/01/2012 – 8/14/2014
Sponsor: Department of Energy (DOE), subcontract with University of Oklahoma
Title: Association mapping of cell wall synthesis regulatory genes and cell wall quality in Switchgrass
Amount: $87,778

Co-PI: Lan Zhu (PI: Dana Brunson)
Date: 09/01/2011 – 5/31/2014
Sponsor: NSF (Grant#: 1126330)
Title: MRI: Acquisition of a high performance compute cluster for multidisciplinary research
Amount: $908,812 (for equipment and maintenance)

Co-PI: Lan Zhu (PI: Tieming Liu)
Date: 04/01/2012 – 6/30/2013
Sponsor: OTC Research, Education and Outreach Support (OTC-REOS)
Title: Decision support system for road closures in flash flood emergencies
Total Amount: $224,988 + $226,237 matching funds
Dr. Zhu’s portion: $27,895 + $39,005 matching funds

Co-PI: Lan Zhu (PI: Mark Fishbein)
Date: 09/01/2011 – 8/31/2012
Sponsor: OSU interdisciplinary grant program
Title: Entangled Genomes: An interdisciplinary program in the ecology and evolution of genomic interactions
Amount: $40,926 (for program establishment)

Co-PI: Lan Zhu (PI: Peter Hoyt)
Date: 09/01/2011 – 8/31/2012
Sponsor: OSU interdisciplinary grant program
Title: Phase II of the Bioinformatics Certificate Program: an interdisciplinary training workshop
Amount: $21,672 (for program establishment)

PI: Lan Zhu
Date: 7/1/2009 – 6/30/2010
Sponsor: OSU A&S Summer Research Program +1
Title: Multivariate analysis in discovering genes associated with canine hip dysplasia
Amount: $7,862

PI: Lan Zhu
Date: 7/1/2009 – 7/31/2009
Sponsor: OSU A&S Dean’s Incentive Grant
Title: Mendelian errors detection in complex pedigree
Amount: $3,000

PI: Lan Zhu
Date: 7/1/2008 – 7/31/2008
Sponsor: OSU A&S Dean’s Incentive Grant
Title: An efficient statistical and computational tool to detect and correct the genotyping errors
Amount: $3,000


RECENT PROFESSIONAL PRESENTATIONS:

Statistcs Improves Effectiveness of Genomic Selection in Plant Breeding. The 11th ICSA International Conference. Hangzhou, China. 2019

Effectiveness of Genomic Selection by Response to Selection for Winter Wheat variety Improvement. Joint Statistical Meetings, Denver, CO, 2019

Cleaning Structured Electronic Health Records for Analysis: To Impute or Not Impute? Joint Statistical Meeting. Denver, CO, 2019

Using Statistical Approaches to Stratify Hospital-Readmission Risk after Hip Fracture. Joint Statistical Meetings, Vancouver, 2018

Molecular marker analysis of progeny origins in sibling-mating and crossing populations of inbred lowland switchgrass. Managing Global Resources for a Secure Future. Tampa, FL. 2017

Kernel-based Bayesian model for genomic selection. JSM. Baltimore, 2017

Model comparison for hip fracture patients hospital readmission prediction. JSM. Baltimore, 2017

A powerful statistical method for detecting positive selection from genome variations. The 2nd International Conference on Statistics and its Applications. Suzhou, China. 2016

A powerful statistical method for identifying genes under positive selection from the human genome. Iowa State University. Ames, IA. 2016

Examples on how statistics help making better decisions. The first annual OU conference on Statistics in Research and Teaching. Edmond, OK. 2016

Genomic selection on wheat double haploid population. JSM 2016. Chicago, IL. 2016

Genetic Association and Correlation Analysis of Switchgrass Biomass Content. Switchgrass III: Prairie & Native Grass International Conference. Knoxville, TN, 2015

Genome Analysis with Arbitrary Correlations among Markers. ICSA China Statistics Conference, Shanghai, China, 2015

A Novel Statistical Method for Detecting Natural Selection from Arbitrary Correlated SNP data. Annual Meeting of the Society for Molecular Biology and Evolution, San Juan, Puerto Rico, 2014

A Novel Statistical Method for Detecting Natural Selection from Arbitrary Correlated SNP data. The XIth MidSouth Computational Biology & Bioinformatics Society Conference, Stillwater, OK, 2014

Decision Support System for Road Closures in Flash Flood Emergencies. ODOT-OkTC Transportation Research Day, Oklahoma City, OK, 2013

Predicting phenotypes of arbitrary related individuals using penalized maximum likelihood method. Joint Statistical Meetings, Montreal, Canada, 2013

An efficient statistical method for QTL mapping in tetraploid organisms. Oklahoma EPSCoR State Conference, Stillwater, OK, 2013

Using GIS to access the socioeconomic impacts of flash floods in Oklahoma. Hawaii International Conference on Social Sciences, 2013

Methods of Association Mapping for Nominal Responses with Rare Variants. Conference of Texas Statisticians, Huston, TX, 2013

Genetic and molecular analysis of cell wall quality in switchgrass, DOE plant feedstock genomics for bioenergy awardee meeting, 2013

A novel statistical method for detecting quantitative trait loci associated with canine hip dysplasia. Invited session of Statistical Developments and Applications in Veterinary Medicine. International Chinese Statistical Association, Boston, MA, 2012

Performance evaluation of three methods for predicting quantitative traits. Joint Statistical Meetings, San Diego, CA, 2012

A comparison of methods for association mapping of nominal responses with rare variants. Joint Statistical Meetings, San Diego, CA, 2012

A powerful multivariate model for multiple-trait genome-wide association mapping. Joint Statistical Meetings, San Diego, CA, 2012

Methods comparison for predicting quantitative traits from genome-wide data. The 23rd Annual Research Symposium. Oklahoma State University, Stillwater, OK, 2012

Methods of genome association mapping with rare variants for nominal responses. The 23rd Annual Research Symposium. Oklahoma State University, Stillwater, OK, 2012

Bayesian regression approaches for quantitative trait loci mapping. The 23rd Annual Research Symposium. Oklahoma State University, Stillwater, OK, 2012

Basic statistics for life scientists. Bioinformatics Pre-workshop Tutorial, Oklahoma State University, Stillwater, OK, 2012

Bayesian regression analysis of quantitative trait with correlated phenotypic data. Oklahoma Research Day. Cameron University, Lawton, OK, 2011

A regression-based approach for estimating recombination rate from population genomic data. Bioinformatics and Computational Biology Conference, Las Vegas, NV, 2011

Bayesian regression analysis of quantitative traits with correlated phenotypic data. Joint Statistical Meetings, Miami Beach, FL, 2011

Application of Bayesian analysis in the identification of quantitative trait loci in dogs. Joint Statistical Meetings, Vancouver, Canada, 2010

Summary of multipoint linkage analysis on identifying QTL for canine hip dysplasia. College of Veterinary Medicine, Cornell University, Ithaca, NY, 2010

Identification of genomic regions associated with canine hip dysplasia. Department of Plant and Soil Sciences, Oklahoma State University, Stillwater, OK, 2010

Introduction to parametric statistics. Department of English, Oklahoma State University, Stillwater, OK, 2010

Using variance component linkage analysis to detect quantitative trait loci for canine hip dysplasia in a crossbred pedigree. The 21st Annual Research Symposium. Oklahoma State University, Stillwater, OK, 2010

A weighted PCA-based mixed linear model for detecting QTL in a crossbred canine pedigree. Oklahoma Research Day. Cameron University, Lawton, OK, 2010

An efficient computational tool to detect genotyping errors in an arbitrary complex pedigree. Joint Statistical Meetings, Washington D.C. 2009

Identification of genomic regions associated with canine hip dysplasia. Beijing Institute of Genomics Chinese Academy of Sciences, Beijing, China, 2009

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