Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
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 Page 2 Continuation Format Page 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) Page 3 Continuation Format Page