Publication Date:
2004-10-23
Description:
Computational tools can markedly accelerate the rate at which murine genetic models can be analyzed. We developed a computational method for mapping phenotypic traits that vary among inbred strains onto haplotypic blocks. This method correctly predicted the genetic basis for strain-specific differences in several biologically important traits. It was also used to identify an allele-specific functional genomic element regulating H2-Ealpha gene expression. This functional element, which contained the binding sites for YY1 and a second transcription factor that is probably serum response factor, is located within the first intron of the H2-Ealpha gene. This computational method will greatly improve our ability to identify the genetic basis for a variety of phenotypic traits, ranging from qualitative trait information to quantitative gene expression data, which vary among inbred mouse strains.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Liao, Guochun -- Wang, Jianmei -- Guo, Jingshu -- Allard, John -- Cheng, Janet -- Ng, Anh -- Shafer, Steve -- Puech, Anne -- McPherson, John D -- Foernzler, Dorothee -- Peltz, Gary -- Usuka, Jonathan -- 1 R01 HG02322-01/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2004 Oct 22;306(5696):690-5.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Genetics and Genomics, Roche Palo Alto, 3431 Hillview Avenue, Palo Alto, CA 94304-1397, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/15499019" target="_blank"〉PubMed〈/a〉
Keywords:
Alleles
;
Animals
;
Binding Sites
;
*Computational Biology
;
Electrophoretic Mobility Shift Assay
;
Gene Expression Profiling
;
*Gene Expression Regulation
;
Genes, MHC Class II
;
Genetic Variation
;
H-2 Antigens/*genetics
;
Haplotypes
;
Hydrocarbons, Aromatic/pharmacology
;
Introns
;
Liver/metabolism
;
Lung/metabolism
;
Major Histocompatibility Complex
;
Mice
;
Mice, Inbred Strains
;
Oligodeoxyribonucleotides/metabolism
;
Oligonucleotide Array Sequence Analysis
;
Phenotype
;
Polymorphism, Single Nucleotide
;
Receptors, Aryl Hydrocarbon/chemistry/genetics/metabolism
;
Regulatory Sequences, Nucleic Acid
;
Serum Response Factor/metabolism
;
Transcription Factors/metabolism
Print ISSN:
0036-8075
Electronic ISSN:
1095-9203
Topics:
Biology
,
Chemistry and Pharmacology
,
Computer Science
,
Medicine
,
Natural Sciences in General
,
Physics
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