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Different Allele Frequencies (different + allele_frequency)

Distribution by Scientific Domains

Life Sciences	60%

Selected Abstracts

The genetic differences with whole genome linkage disequilibrium mapping between responder and non-responder in interferon-, and ribavirin combined therapy for chronic hepatitis C patients

INTERNATIONAL JOURNAL OF IMMUNOGENETICS, Issue 2 2008
P.-J. Chen
Summary Interferon-, and ribavirin combined therapy has been a mainstream treatment for hepatitis C infection. The efficacy of this combined treatment is around 30% to 60%, and the factors affecting the responsiveness are still poorly defined. Our study is intended to investigate the genetic differences between responder and non-responder patients. The genome-wide linkage disequilibrium screening for loci associated with genetic difference between two patient groups was conducted by using 382 autosomal short tandem repeat (STR) markers involving 92 patients. We have identified 19 STR markers displaying different allele frequencies between the two patient groups. In addition, based on their genomic location and biological function, we selected the CD81 and IL15 genes to perform single nucleotide polymorphism genotyping. In conclusion, this study may provide a new approach for identifying the associated polymorphisms and the susceptible loci for interferon-, and ribavirin combined therapy in patients with chronic hepatitis C. [source]

The evolution of tropical adaptation: comparing taurine and zebu cattle

ANIMAL GENETICS, Issue 5 2010
E. K. F. Chan
Summary Beef cattle breeds consist of three major genetic subdivisions. The taurine group is adapted to temperate environments, and the zebu and Sanga groups are both adapted to tropical environments. With the advent of genotyping and sequencing technologies in agriculture, genome-wide exploration of the genetic basis for the differences in tropical adaptation has only just become possible. In this study, approximately 9000 single nucleotide polymorphism markers were genotyped on 317 animals of a selection of taurine, zebu, and composite breeds to characterize any systematic differences between these groups. We identified 91 intra-breed-class markers; 78 were polymorphic only within the zebu animals, while 13 were polymorphic only in the taurine animals. There were no fixed differences (fixed for alternate alleles between the two breed types) between zebu and taurine animals. We found 14 regions with significantly different allele frequencies between zebu and taurine animals indicative of variable selection pressure or genetic drift. We also found 12 independent regions of differential extended haplotype homozygosity (EHH), indicative of recent selection or rapid fixation of the alternate allele within a short period of time in one of the two breed classes. A preliminary functional genomics analysis of these regions pointed towards signatures of tropical attributes including keratins, heat-shock proteins and heat resistance genes. We anticipate this investigation to be a stepping-stone for future studies to identify genomic regions specific to the two cattle groups, and to subsequently assist in the discrimination between temperate and tropically adapted cattle. [source]

Milk protein polymorphisms in cattle (Bos indicus), mithun (Bos frontalis) and yak (Bos grunniens) breeds and their hybrids indigenous to Bhutan

ANIMAL SCIENCE JOURNAL, Issue 5 2010
Tashi DORJI
ABSTRACT In the current study, milk protein variation was examined in cattle (Bos indicus), mithun (Bos frontalis), yak (Bos grunniens) and their hybrid populations in Bhutan to estimate genetic variability, conduct genetic characterization and assess the possibility of gene flow between mithun and cattle. Isoelectric focusing of 372 milk samples from 11 populations detected four molecular types of ,- lactoglobulin (A, B, E and M), five molecular types of ,S1 -casein (A, B, C, E and X) and three molecular types of k -casein (A, B and X). Mithun and yak shared alleles but were found to exhibit different allele frequencies for the proteins studied. The degree of genetic variability within populations was measured by average heterozygosity and ranged from 24,40% in cattle, 26% for yak and 33% for mithun. We also resolved the traditional mithun and cattle hybridization system via principal component analysis. Our results suggested secondary introgression of mithun genes to the village Thrabum population, and a close genetic relationship between Bhutanese indigenous cattle and Indian cattle. [source]

Large Allele Frequency Differences between Human Continental Groups are more Likely to have Occurred by Drift During range Expansions than by Selection

ANNALS OF HUMAN GENETICS, Issue 1 2009
T. Hofer
Summary Several studies have found strikingly different allele frequencies between continents. This has been mainly interpreted as being due to local adaptation. However, demographic factors can generate similar patterns. Namely, allelic surfing during a population range expansion may increase the frequency of alleles in newly colonised areas. In this study, we examined 772 STRs, 210 diallelic indels, and 2834 SNPs typed in 53 human populations worldwide under the HGDP-CEPH Diversity Panel to determine to which extent allele frequency differs among four regions (Africa, Eurasia, East Asia, and America). We find that large allele frequency differences between continents are surprisingly common, and that Africa and America show the largest number of loci with extreme frequency differences. Moreover, more STR alleles have increased rather than decreased in frequency outside Africa, as expected under allelic surfing. Finally, there is no relationship between the extent of allele frequency differences and proximity to genes, as would be expected under selection. We therefore conclude that most of the observed large allele frequency differences between continents result from demography rather than from positive selection. [source]

Genomic Control for Association Studies under Various Genetic Models

BIOMETRICS, Issue 1 2005
Gang Zheng
Summary Case,control studies are commonly used to study whether a candidate allele and a disease are associated. However, spurious association can arise due to population substructure or cryptic relatedness, which cause the variance of the trend test to increase. Devlin and Roeder derived the appropriate variance inflation factor (VIF) for the trend test and proposed a novel genomic control (GC) approach to estimate VIF and adjust the test statistic. Their results were derived assuming an additive genetic model and the corresponding VIF is independent of the candidate allele frequency. We determine the appropriate VIFs for recessive and dominant models. Unlike the additive test, the VIFs for the optimal tests for these two models depend on the candidate allele frequency. Simulation results show that, when the null loci used to estimate the VIF have allele frequencies similar to that of the candidate gene, the GC tests derived for recessive and dominant models remain optimal. When the underlying genetic model is unknown or the null loci and candidate gene have quite different allele frequencies, the GC tests derived for the recessive or dominant models cannot be used while the GC test derived for the additive model can be. [source]