Search PubMed⌕ Search
Home/Archive/PubMed

PubMed · 11372982

CODIS STR loci data from 41 sample populations.

B Budowle·B Shea·S Niezgoda·R Chakraborty
View original source ↗Export metadata ↓

Abstract

Allele distributions for 12 or 13 CODIS core tetrameric short tandem repeat (STR) loci CSFIPO, D3S1358, D5S818, D7S820, D8S1179, D13S317, D16S539, D18S51, D21S11, FGA, TH01, TPOX, and vWA were determined in 41 population data sets. The major population groups comprise African Americans, U.S. Caucasians, Hispanics, Far East Asians, and Native Americans. There was little evidence for departures from Hardy-Weinberg expectations (HWE) in any of the populations. The FST estimates over all thirteen STR loci are 0.0006 for African Americans, -0.0005 for Caucasians, 0.0021 for Hispanics, 0.0039 for Asians, and 0.0282 for Native Americans.

Explore related subjects

EthnicityForensic MedicineGene FrequencyHumansRacial GroupsReference ValuesTandem Repeat SequencesJournal ArticleResearch Support, U.S. Gov't, P.H.S.

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

B Budowle, B Shea, S Niezgoda, R Chakraborty. 2001. CODIS STR loci data from 41 sample populations.. https://pubmed.ncbi.nlm.nih.gov/11372982/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

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↗