Graphical tests for Hardy-Weinberg equilibrium based on the ternary plot

The first-generation Daphnia magna linkage map

Background

Daphnia magna is a well-established model species in ecotoxicology, ecology and evolution. Several new genomics tools are presently under development for this species; among them, a linkage map is a first requirement for estimating the genetic background of phenotypic traits in quantitative trait loci (QTL) studies and is also very useful in assembling the genome. It also enables comparative studies between D. magna and D. pulex, for which a linkage map already exists.

Results

Here we describe the first genetic linkage map of D. magna. We generated 214 F2 (intercross) clonal lines as the foundation of the linkage analysis. The linkage map itself is based on 109 microsatellite markers, which produced ten major linkage groups ranging in size from 31.1 cM to 288.5 cM. The total size of this linkage map extends to 1211.6 Kosambi cM, and the average interval for the markers within linkage groups is 15.1 cM. The F2 clones can be used to map QTLs for traits that differ between the parental clones. We successfully mapped the location of two loci with infertility alleles, one inherited from the paternal clone (Iinb1) and the other from the maternal clone (Xinb3).

Conclusions

The D. magna linkage map presented here provides extensive coverage of the genome and a given density of markers that enable us to detect QTLs of moderate to strong effects. It is similar in size to the linkage map of D. pulex.

Using both cases and controls for testing hardy-weinberg proportions in a genetic association study

OBJECTIVES

Assessment of the Hardy-Weinberg proportion (HWP) in controls has been widely used as a quality control measure in case-control association studies. However, when the disease being studied is common, controls might not represent the general population, which could result in inaccurate HWP test results. Such results could lead investigators to discard important single-nucleotide polymorphisms (SNPs) that could potentially be causal. In this paper, we showed the inappropriateness of the HWP test in controls and proposed a mixture HWP (mHWP) exact test using a mixture sample that mimics the general population.

METHODS

The mHWP exact test estimates HWP in a mixture sample that is a combination of both cases and controls proportional to the prevalence of disease. We implemented a re-sampling procedure to construct mixture samples and then obtained the empirical p value of HWP in the general population. Simulation studies were performed to investigate the performance of the proposed mHWP exact test. The method was also applied to a genetic association study of obesity.

RESULTS

The results showed that the mHWP exact test is more likely than either the traditional HWP method in controls or the likelihood-based approach to keep causal SNPs for further analysis when the disease is more common.

CONCLUSION

The mHWP exact test using a mixture sample is a better HWP test for case-control genetic association studies than the traditional HWP in controls or the likelihood-based approach, and it will improve our ability to keep causal SNPs in the case-control genetic association studies.

SNPs in the bovine IL-10 receptor are associated with somatic cell score in Canadian dairy bulls

Altering the balance between pro- and anti-inflammatory responses can influence an animal's susceptibility to acute or chronic inflammatory disease; bovine mastitis is no exception. Genetic variation in the form of single nucleotide polymorphisms (SNPs) may alter the function and expression of genes that regulate inflammation, making them important candidates for defining an animal's risk of developing acute or chronic mastitis. The objective of the present study was to identify SNPs in genes that regulate anti-inflammatory responses and test their association with estimated breeding values (EBVs) for somatic cell score (SCS), a trait highly correlated with the incidence of mastitis. These genes included bovine interleukin-10 (IL-10) and its receptor (IL-10R), and transforming growth factor beta1 (TGF-beta1) and its receptor (TGF-betaR). Sequencing-pooled DNA allowed for the identification of SNPs in IL-10 (n = 2), IL-10Ralpha (n = 6) and beta (n = 2), and TGF-beta1 (n = 1). These SNPs were subsequently genotyped in a cohort of Holstein (n = 500), Jersey (n = 83), and Guernsey (n = 50) bulls. Linear regression analysis identified significant SNP effects for IL-10Ralpha 1185C>T with SCS. Haplotype IL-10Ralpha AAT showed a significant effect on increasing SCS compared to the most common haplotype. The results presented here indicate that SNPs in IL-10Ralpha may contribute to variation in the SCS of dairy cattle. Although functional studies are necessary to ascertain whether these SNPs are causal polymorphisms or merely in linkage with the true causal SNP(s), a selection program incorporating these markers could have a beneficial influence on the average SCS and productivity of a dairy herd.

A test for genetic association that incorporates information about deviation from Hardy-Weinberg proportions in cases

For assessment of genetic association between single-nucleotide polymorphisms (SNPs) and disease status, the logistic-regression model or generalized linear model is typically employed. However, testing for deviation from Hardy-Weinberg proportion in a patient group could be another approach for genetic-association studies. The Hardy-Weinberg proportion is one of the most important principles in population genetics. Deviation from Hardy-Weinberg proportion among cases (patients) could provide additional evidence for the association between SNPs and diseases. To develop a more powerful statistical test for genetic-association studies, we combined evidence about deviation from Hardy-Weinberg proportion in case subjects and standard regression approaches that use case and control subjects. In this paper, we propose two approaches for combining such information: the mean-based tail-strength measure and the median-based tail-strength measure. These measures integrate logistic regression and Hardy-Weinberg-proportion tests for the study of the association between a binary disease outcome and an SNP on the basis of case- and control-subject data. For both mean-based and median-based tail-strength measures, we derived exact formulas to compute p values. We also developed an approach for obtaining empirical p values with the use of a resampling procedure. Results from simulation studies and real-disease studies demonstrate that the proposed approach is more powerful than the traditional logistic-regression model. The type I error probabilities of our approach were also well controlled.

Calcium oxalate stone formation risk - a case of disturbed relative concentrations of urinary components

BACKGROUND

Although afflicted with stone formation, urolithiasis patients often present with normal renal excretions of lithogenic and inhibitory substances. In this study, crystal formation is not interpreted as the result of urinary excretions simply exceeding the static limits of normal ranges but rather as the consequence of relative combinations of such parameters which convert urine into becoming potentially lithogenic. Our model embraces different triplet combinations of fundamental urinary risk factors for calcium oxalate (CaOx) crystallization, to characterize different levels of urinary stone formation risk.

METHODS

Urinalyses and BONN-Risk-Indices (BRI) were determined for CaOx patients under home conditions, after 1 week of hospitalization, and for healthy controls. The relative urinary concentrations and interdependences of, inter alia, free ionized Ca (Ca2+), bound Ca (Ca b), and oxalic acid (OA) were compared.

RESULTS

Three levels of CaOx formation risk can be distinguished: (I): low stone formation risk with an increase in (Ca2+) and concomitant decrease in (Ca b), while (OA) remains almost constant, BRI increases simultaneously; (II) moderate risk at (Ca2+)/(Ca b) approximately 1; and (III) high risk with decrease in (Ca2+)/(Ca b) and simultaneous increase in (OA).

CONCLUSIONS

The proposed approach of urinalysis interpretation allows complementary strategy of identification of patterns of disturbed urinary composites leading to calculus formation.