Nonparametric tests of association of multiple genes with human disease

The genetic basis of many common human diseases is expected to be highly heterogeneous, with multiple causative loci and multiple alleles at some of the causative loci. Analyzing the association of disease with one genetic marker at a time can have weak power, because of relatively small genetic effects and the need to correct for multiple testing. Testing the simultaneous effects of multiple markers by multivariate statistics might improve power, but they too will not be very powerful when there are many markers, because of the many degrees of freedom. To overcome some of the limitations of current statistical methods for case-control studies of candidate genes, we develop a new class of nonparametric statistics that can simultaneously test the association of multiple markers with disease, with only a single degree of freedom. Our approach, which is based on U-statistics, first measures a score over all markers for pairs of subjects and then compares the averages of these scores between cases and controls. Genetic scoring for a pair of subjects is measured by a "kernel" function, which we allow to be fairly general. However, we provide guidelines on how to choose a kernel for different types of genetic effects. Our global statistic has the advantage of having only one degree of freedom and achieves its greatest power advantage when the contrasts of average genotype scores between cases and controls are in the same direction across multiple markers. Simulations illustrate that our proposed methods have the anticipated type I-error rate and that they can be more powerful than standard methods. Application of our methods to a study of candidate genes for prostate cancer illustrates their potential merits, and offers guidelines for interpretation.     

MicroRNA mediates DNA methylation of target genes

Small RNAs represented by microRNA (miRNA) plays important roles in plant development and responds to biotic and abiotic stresses. Previous studies have placed special emphasis on gene-repression mediated by miRNA. In this work, the DNA methylation pattern of microRNA genes (MIRs) was interrogated. Full-length cDNA and EST were used to confirm the entity of pri-miRNA. In parallel, miRNA in 24 nucleotides (nt) was pooled to detect chromatin modification effect by using bisulfite sequencing data. 97 MIRs were supported by full-length cDNA and 30 more were hit by EST. Notably, methylation levels of conserved MIRs were significantly lower than the non-conserved at all contexts (CG, CHG, and CHH). Additionally, a substantial part of 24-nt miRNA was able to induce target site methylation, providing a broader perspective for researchers.     

Tri-nucleotide repeats and their association with genes in rice genome

Tri-nucleotide repeats (TNRs) are extremely abundant in rice genome, of which CCG/CGG repeats have an advantage over other repeats, with approximate half of all the TNRs in the genome. Our results show that rice genome has relatively abundant TNRs with high GC content, and containing only purines or pyrimidines under the same GC content. The AAT/ATT repeats that occur predominantly in intergenic and intronic regions have a considerably higher average length than that of other repeats. The highest frequency of TNRs occurs in 5'-UTR regions, followed by in coding and 5'-flanking regions. Purines-rich TNRs prefer to the coding regions, but pyrimidines-rich TNRs exhibit a stronger bias to upstream regions, suggesting that they might be considered as the regulatory elements in gene expression. As if TNRs located predominantly near the start of coding regions do not significantly influence on the protein function.     

Tri-nucleotide repeats and their association with genes in rice genome

Tri-nucleotide repeats (TNRs) are extremely abundant in rice genome, of which CCG/CGG repeats have an advantage over other repeats, with approximate half of all the TNRs in the genome. Our results show that rice genome has relatively abundant TNRs with high GC content, and containing only purines or pyrimidines under the same GC content. The AAT/ATT repeats that occur predominantly in intergenic and intronic regions have a considerably higher average length than that of other repeats. The highest frequency of TNRs occurs in 5′-UTR regions, followed by in coding and 5′-flanking regions. Purines-rich TNRs prefer to the coding regions, but pyrimidines-rich TNRs exhibit a stronger bias to upstream regions, suggesting that they might be considered as the regulatory elements in gene expression. As if TNRs located predominantly near the start of coding regions do not significantly influence on the protein function.     

Polymorphism in environment responsive genes and association with Parkinson disease

Attempts were made in the present case-control study to investigate the association of polymorphism in the genes encoding proteins involved in toxication–detoxication and dopaminergic pathways and susceptibility to Parkinson’s disease (PD). Seventy patients suffering from PD and one hundred healthy controls belonging to the same geographical location and same ethnicity were included in the study. PCR-RFLP and allele-specific PCR-based methodology were used to identify the genotypes. Multivariate logistic regression analysis revealed that heterozygous genotypes of cytochrome P4502D6*4(CYP2D6*4), CYP2E1*5B (RsaI) polymorphism and homozygous mutant genotypes of CYP2E1*6 (Dra1) were found to be overrepresented in PD cases when compared to the controls. Risk was also found to be increased in patients carrying glutathione S-transferase T1 (GSTT1) null or homozygous variant genotypes of GSTP1. Significant association was observed for monoamine oxidase-B(MAO-B) variant allele G and PD, whereas no difference in genotype and allele frequencies was observed for manganese-superoxide dismutase (MnSOD), dopamine receptor-D2(DRD2), and dopamine transporter (DAT) genes between controls and PD cases. Genotype combinations characterized by the presence of two variant genotypes on their corresponding loci revealed that four combinations of GSTT1 null and MnSOD(-9Val) or GST null and MAOB-G or CYP2E1*5B and MAO-B-AG or CYP2E1*5B and DRD2 (Taq1A-het) genotypes in the patients exhibited severalfold higher and significant association with risk to PD. Our data suggest that polymorphism in the genes involved in detoxification and dopamine regulation may modulate the susceptibility to PD and could be important risk factors in the pathogenesis of PD.     

Specific association of repetitive DNA sequences with major histocompatibility genes.

The DNA sequence organization of a 17.8-kilobase segment of porcine DNA, containing a functional major histocompatibility (MHC) gene, has been studied. The DNA flanking the MHC gene contains at least 10 distinct repetitive DNA sequence elements, each of which occurs only once within the 17.8-kilobase DNA segment. Their reiteration frequencies in the genome range from 10(2) to 10(4). The genomic organization of seven of these sequence elements has been examined; all are interspersed with other, unrelated DNA sequences. These seven repeated sequences are not generally associated in the genome. However, they appear to be nonrandomly linked in MHC-associated regions of the genome: at least two additional DNA segments containing MHC-homologous DNA also contain sequences homologous to DNA fragments bearing the seven different repeats. Of the seven sequences, four can be detected in splenic total RNA. These results suggest that these repeated elements are specifically associated with the MHC locus.