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Program Director/Principal Investigator (Last, First, Middle):
BIOGRAPHICAL SKETCH
Provide the following information for the Senior/key personnel and other significant contributors in the order listed on Form Page 2.
Follow this format for each person. DO NOT EXCEED FOUR PAGES.
NAME
POSITION TITLE
Xiaofeng Zhu
Professor
eRA COMMONS USER NAME (credential, e.g., agency login)
ZHUXIAOFENG
EDUCATION/TRAINING (Begin with baccalaureate or other initial professional education, such as nursing, include postdoctoral training and
residency training if applicable.)
DEGREE
INSTITUTION AND LOCATION
MM/YY
FIELD OF STUDY
(if applicable)
Peking University, Beijing, China
Peking University, Beijing, China
University of Cincinnati, Cincinnati, Ohio
Case Western Reserve University, Cleveland,
OH
BS
MS
MS
PhD
1986
1989
1994
1999
Mathematics
Mathematics
Statistics
Epid. & Biostatistics
A. Positions and Honors
Senior Lecturer, Beijing University of Aeronautics and Astronautics, Beijing, China. 1989 - 1992
Teaching Assistant, Department of Mathematics, University of Cincinnati, Cincinnati, Ohio. 1992 - 1994
Research Assistant, Department of Epidemiology and Biostatistics, School of Medicine, Case Western
University, Cleveland, Ohio 1995 -1999
Research Assistant Professor, Department of Preventive Medicine and Epidemiology, Loyola University
Chicago, Maywood, Illinois 1999-2001
Assistant Professor, Department of Preventive Medicine and Epidemiology, Loyola University Chicago,
Maywood, Illinois 2001-2006 June
Associate Professor, Department of Preventive Medicine and Epidemiology, Loyola University Chicago,
Maywood, Illinois 2006
Associate Professor, Department of Epidemiology and Biostatistics, Case Western Reserve University,
Cleveland, Ohio, 2006-2011 June
Professor, Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, Ohio,
2011 June - present
Member of NIH Cardiovascular and Sleep Epidemiology Study Section, July 2009PROFESSIONAL MEMBERSHIPS
The American Society of Human Genetics
The International Genetic Epidemiology Society
Fellow, the Royal Statistical Society
B. Selected Peer-reviewed Publications (Selected from over 120 peer-reviewed publications)
1. Zhu X, Boureki N, Southm L, Adeyemo A, Cooper RS, McKenzie CA, Luke A, Chen G, Elston R, Ward R.
Linkage and association analysis of angiotensin I converting enzyme (ACE) gene polymorphisms with ACE
activity and blood pressure. Am J Hum Genet. 2001 68:1139-1148.
2. Zhu X, Zhang S, Zhao H, Cooper RS. Association mapping using a mixture model for complex traits.
Genetic Epidemiology. 2002 23: 181-196.
3. Zhu X, McKenzie Colin, Forrester T, Nickerson DA,Ulrich Broeckel, Heribert Schunkert, Angela Doering,
Howard Jacob, Cooper RS, Rieder MJ. Localization of a small genomic region associated with elevated
ACE. Am J Hum Genet. 2000; 67:1144-1153.
PHS 398/2590 (Rev. 06/09)
Page
Biographical Sketch Format Page
Program Director/Principal Investigator (Last, First, Middle):
4
Zhu X. Chang C, Yan D, Weder A, Cooper R, Luke A, Kan D., Chakravarti A. Associations between
hypertension and genetic variants in the genes of the rennin-angiotensin system. Hypertension. 2003 41:
1027-1034.
5. Zhu X, Yan D, Cooper RS, Luke A, Weder A, Chakravarti A. Linkage disequilibrium and haplotype
diversity in the genes of the rennin-angiotensin system. Genome Research. 2003 13: 173-181
6. Zhu, X, Fejerman L, Luke A, Adeyemo A, Cooper RS. Haplotypes Produced from Rare Variants in the
Promoter and Coding Regions of Angiotensinogen Contribute to Variation in Angiotensinogen levels. Hum
Mol Genet. 2005 ; 14:639-43.
7. Zhu X, Luke A, Cooper RS, Quertermous T, Hanis C, Mosley TH, Gu C, Risch N, Rao DC, Weder A.
Admixture mapping for hypertension loci with genome scan markers. Nature Genetics 2005; 37, 177-181.
8. Zhu X, Feng T, Li Y, Lu Q, Elston RC Detecting rare variants for complex traits using family and unrelated
data. Genet Epidemiol. 2010;34(2):171-87
9. Feng T, Zhu X.Genome-wide searching of rare genetic variants in WTCCC data. Hum Genet.
2010;128(3):269-80.
10. Fox ER, Young JH,Li Y, et al. Zhu X,Levy D. Association of Genetic Variation with Systolic and Diastolic
Blood Pressure among African Americans: the Candidate Gene Association Resource (CARe) Study. Hum
Mol Genet, 2011, 20(11):2273-2284.
11. Zhu X, Young JH, et al. Combined admixture mapping and association analysis identifies a novel blood
pressure genetic locus on 5p13: contributions from the CARe consortium. Hum Mol Genet. 2011;20:228595.
12. Zhu X, Cooper RS. Admixture Mapping Provides Evidence of Association of the VNN1 Gene with
Hypertension. Plos One. 2007. 2 (11):e1244.
13. Qin H, Morris N, Kang SJ, Li M, Tayo B, Lyon H, Hirschhorn J, Cooper RS, Zhu X. Interrogating local
population structure for fine mapping in genome-wide association studies. Bioinformatics. 2010 ;26:2961-8
14. Feng T, Elston RC, Zhu X. Detecting rare and common variants for complex traits: sibpair and odds ratio
weighted sum statistics (SPWSS, ORWSS). Genet Epidemiol. 2011, 35:807-23 PMID: 21594893
15. The International Consortium for Blood Pressure Genome-Wide Association Studies. Genetic variants in novel
pathways influence blood pressure and cardiovascular disease risk. Nature 2011. PMID: 21909115
C. Research Support
Ongoing
1 R01 HG003054 Zhu (PI)
12/01/05-4/30/13
NIH/NHGRI
Statistical methods for analyzing high-throughput genotype data
The primary aims of this research are to: 1) Develop statistical methods to detect rare genetic variants using
whole genome scan or sequence data. We will develop a variety of designs to cluster rare risk haplotypes and
then perform association analysis with these risk haplotypes as a group in candidate gene association studies.
2) Develop statistical association methods that control for population stratification using whole genome data. 3)
Develop statistical methods to jointly model admixture mapping and association in order to search for potential
causal variants contributing to the admixture mapping signals. 4) Develop corresponding software that will be
made available in the S.A.G.E.
1 R01HL086718 Zhu (PI) 08/15/07-06/31/12
NIH/NHLBI
Fine mapping of hypertension genes detected by admixture mapping in the FBPP
we propose to perform an admixture mapping study in African Americans using ancestry-informative SNP
markers (AIMs), followed by gene-based case-control association studies in the well-characterized cohorts
recruited by the Family Blood Pressure Program (FBPP). We will also conduct further replication studies in two
independent African-American cohorts, and estimate population-specific risks for the identified variants in
European-Americans, Mexican Americans, Nigerians and Jamaicans.
5 RO1 HL53353 Cooper (PI)
PHS 398/2590 (Rev. 06/09)
4/1/05-12/31/14
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Program Director/Principal Investigator (Last, First, Middle):
Role: Co-Investigator
NIH
Genetics of Hypertension in Blacks
This competitive renewal application requests support to continue a study of the genetics of hypertension in
populations of West African origin. We propose to combine high-throughput genotyping with a sophisticated
epidemiologic design to examine potential gene-environment interactions for known candidate genes.
RO1 HG005854 Li (PI)
09/09/10-6/30/13
Role: Co-investigator
NIH
Statistical Methods for Gene Mapping Studies in Admixed Populations
In this project, we will 1) Develop a unified statistical framework for genetic association analysis of unrelated
individuals and family data sampled from admixed populations; 2) Develop statistical methods to identify SNPs
that can explain an admixture mapping signal; 3) Develop statistical methods for association analysis of CNVs
in admixed populations; Develop statistical methods for analysis of secondary phenotypes in a case-control
GWAS in admixed populations; 5) Develop, distribute and support freely available software packages for
methods proposed in this application.
Completed
5 R01 HL074166 Zhu (PI)
4/01/04-3/31/10
Role: Principal Investigator
NIH
Defining an Obesity QTL on Chromosome 3q
To examine the linkage peak centered on position 188 Chromosome 3q (7cM 1-LOD support interval), with the
following step-wise strategy: (a) Genotype 80 SNPs in this region on 300 families (1,000 individuals) to
confirm/narrow this peak. (b) Conduct linkage, linkage disequilibrium and admixture mapping to potentially
further narrow the region. (c) Conduct resequencing and haplotype-based association studies for all candidate
genes under the peak.
1 R03 HL65702 Zhu (PI)
4/01/01-3/31/03
Role: Principal Investigator
NIH/NHLBI
A Genome Scan for Obesity in a Multi-Ethnic Sample
Investigators will work closely with the FBPP Coordinating Center to find evidence for the consistency between
results obtained from analyses of the genome scan performed and have the literature results summarized with
those from the meta-analysis.
PHS 398/2590 (Rev. 06/09)
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