Biomedical subjects

Joshua T Burdick

Publications and source records attributed to Joshua T Burdick.

4 recordsLinked to original sources

PubMed2007

Common genetic variants account for differences in gene expression among ethnic groups.

Variation in DNA sequence contributes to individual differences in quantitative traits, but in humans the specific sequence variants are known for very few traits. We characterized variation in gene expression in cells from individuals belonging to three major population groups. This quantitative phenotype differs significantly between European-derived and Asian-derived populations for 1,097 of 4,197 genes tested. For the phenotypes with the strongest evidence of cis determinants, most of the variation is due to allele frequency differences at cis-linked regulators. The results show that specific genetic variation among populations contributes appreciably to differences in gene expression phenotypes. Populations differ in prevalence of many complex genetic diseases, such as diabetes and cardiovascular disease. As some of these are probably influenced by the level of gene expression, our results suggest that allele frequency differences at regulatory polymorphisms also account for some population differences in prevalence of complex diseases.

Ethnicity↗

PubMed2006

In silico method for inferring genotypes in pedigrees.

Our genotype inference method combines sparse marker data from a linkage scan and high-resolution SNP genotypes for several individuals to infer genotypes for related individuals. We illustrate the method's utility by inferring over 53 million SNP genotypes for 78 children in the Centre d'Etude du Polymorphisme Humain families. The method can be used to obtain high-density genotypes in different family structures, including nuclear families commonly used in complex disease gene mapping studies.

Chi-Square Distribution↗

PubMed2005

Mapping determinants of human gene expression by regional and genome-wide association.

To study the genetic basis of natural variation in gene expression, we previously carried out genome-wide linkage analysis and mapped the determinants of approximately 1,000 expression phenotypes. In the present study, we carried out association analysis with dense sets of single-nucleotide polymorphism (SNP) markers from the International HapMap Project. For 374 phenotypes, the association study was performed with markers only from regions with strong linkage evidence; these regions all mapped close to the expressed gene. For a subset of 27 phenotypes, analysis of genome-wide association was performed with >770,000 markers. The association analysis with markers under the linkage peaks confirmed the linkage results and narrowed the candidate regulatory regions for many phenotypes with strong linkage evidence. The genome-wide association analysis yielded highly significant results that point to the same locations as the genome scans for about 50% of the phenotypes. For one candidate determinant, we carried out functional analyses and confirmed the variation in cis-acting regulatory activity. Our findings suggest that association studies with dense SNP maps will identify susceptibility loci or other determinants for some complex traits or diseases.

Alleles↗

PubMed2002

Gene expression phenotype in heterozygous carriers of ataxia telangiectasia.

The defining characteristic of recessive diseases is the absence of a phenotype in the heterozygous carriers. Nonetheless, subtle manifestations may be detectable by new methods, such as expression profiling. Ataxia telangiectasia (AT) is a typical recessive disease, and individual carriers cannot be reliably identified. As a group, however, carriers of an AT disease allele have been reported to have a phenotype that distinguishes them from normal control individuals: increased radiosensitivity and risk of cancer. We show here that the phenotype is also detectable, in lymphoblastoid cells from AT carriers, as changes in expression level of many genes. The differences are manifested both in baseline expression levels and in response to ionizing radiation. Our findings show that carriers of a recessive disease may have an "expression phenotype." In the particular case of AT, this suggests a new approach to the identification of carriers and enhances understanding of their increased cancer risk. More generally, we demonstrate that genomic technologies offer the opportunity to identify and study unaffected carriers, who are hundreds of times more common than affected patients.

Ataxia Telangiectasia↗