Andrew G. Clark
Jacob Gould Schurmn Professor of Population Genetics
Primary Research Areas
- bioinformatics
- biometry
- computational biology
- evolution
- genetics
- genomics
Research Focus
Andy Clark?s lab is interested in the genetic basis for complex traits, especially in cases where there is a reasonably well understood gene regulatory network underlying the trait. By choosing phenotypes for which there is good information about an underlying gene regulatory network, we can then ask how variation at in the gene regulatory network is manifested as phenotypic variation. At the genetic level, we can collect data in the form of single nucleotide polymorphisms (SNPs) and at the level of gene expression. The former should obey all the properties of variation prescribed by population genetics theory (which we test), and gene expression measurements are convenient intermediate phenotypes that give a picture of the state of the network. Genetic perturbations, in the form of natural variation across lines and RNAi, as well as environmental perturbations (like infecting with different bacteria) lend specificity to inferences of models connecting genotype to phenotype.|| Particular research systems include both humans and Drosophila. The human work is focused on cardiovascular disease risk (collaboration with Charles Sing and Eric Boerwinkle), on population genetic applications of genome-wide SNP data, and on the phenomenon of genomic imprinting. We are also engaged in statistical inference of association using dense SNP genotyping arrays. I also maintain a Drosophila laboratory, where students are studying the genetic and evolutionary basis for variation in innate immune efficacy, genetic variation in sperm competition, regulation of fat storage, and evolution of the Y chromosome.
Educational Background
- B.S., Biology and Applied Mathematics, Brown University, 1976
- Ph.D., Population Genetics, Stanford University, 1980
Research Grants
- DIMENSION REDUCTION APPROACHES FOR GENOME-WIDE ASSOCIATION TESTING
- POPULATION GENETIC INFERENCES FROM DENSE GENOTYPE DATA
- FUNCTIONAL AND COMPARATIVE GENOMICS OF DROSOPHILA IMMUNITY
- DISSERTATION RESEARCH:QUANTITATIVE GENETICS OF INNATE IMMUNITY DISORDER IN DROSOPHILA MELANOGASTER - T. SACKTON DISSERTATION: TIM SACKTON DISSERTATION RESEARCH
- DISSERTATION RESEARCH: AN EVOLUTIONARY GENETIC ANALYSIS OF A Y CHROMOSOME REARRANGEMENT IN DROSOPHILA PSUEDOOBSCURA
- GENE EXPRESSION, DUPLICATED GENES AND SEX BIAS IN DROSOPHILA: POST DOC RICHARD MEISEL
- COMPARATIVE FUNCTIONAL GENOMICS OF DROSOPHILA OBESITY
- POPULATION GENETIC INFERENCES FROM DENSE GENOTYPE DATA
- COLLABORATIVE RESEARCH: MOLECULAR ADAPTION AND GAMETIC COMPETION
- MOLECULAR EVOLUTION OF DROSPHILA Y CHROMOSOME
- IMPACT OF BDNF GENOTYPE AND STRESS ON LEARNING AND BRAIN DEVELOPMENT
- GAMETE COMPETITION
- GENOMIC APPROACHES TO COMMON CHRONIC DISEASE
- INFERRING MULTIPLE-SNP DISEASE ASSOCIATION WITH DNA RESEQUENCE DATA
- MODELING DNA DIVERSITY IN REVERSE CHOLESTEROL TRANSPORT