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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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