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E Lipkin

Publications and source records attributed to E Lipkin.

13 recordsLinked to original sources
PubMed2005

Microsatellite markers associated with resistance to Marek's disease in commercial layer chickens.

The objective of the current study was to identify QTL conferring resistance to Marek's disease (MD) in commercial layer chickens. To generate the resource population, 2 partially inbred lines that differed in MD-caused mortality were intermated to produce 5 backcross families. Vaccinated chicks were challenged with very virulent plus (vv+) MD virus strain 648A at 6 d and monitored for MD symptoms. A recent field isolate of the MD virus was used because the lines were resistant to commonly used older laboratory strains. Selective genotyping was employed using 81 microsatellites selected based on prior results with selective DNA pooling. Linear regression and Cox proportional hazard models were used to detect associations between marker genotypes and survival. Significance thresholds were validated by simulation. Seven and 6 markers were significant based on proportion of false positive and false discovery rate thresholds less than 0.2, respectively. Seventeen markers were associated with MD survival considering a comparison-wise error rate of 0.10, which is about twice the number expected by chance, indicating that at least some of the associations represent true effects. Thus, the present study shows that loci affecting MD resistance can be mapped in commercial layer lines. More comprehensive studies are under way to confirm and extend these results.

Animals↗
PubMed2002

Quantitative trait locus mapping in chickens by selective DNA pooling with dinucleotide microsatellite markers by using purified DNA and fresh or frozen red blood cells as applied to marker-assisted selection.

Many large, half-sib sire families are an integral component of chicken genetic improvement programs. These family structures include a sufficient number of individuals for mapping quantitative trait loci (QTL) at high statistical power. However, realizing this statistical power through individual or selective genotyping is yet too costly to be feasible under current genotyping methodologies. Genotyping costs can be greatly reduced through selective DNA pooling, involving densitometric estimates of marker allele frequencies in pooled DNA samples. When using dinucleotide microsatellite markers, however, such estimates are often confounded by overlapping "shadow" bands and can be confounded further by differential amplification of alleles. In the present study a shadow correction procedure provided accurate densitometric estimates of allele frequency for dinucleotide microsatellite markers in pools made from chicken purified DNA samples, fresh blood samples, and frozen-thawed blood samples. In a retrospective study, selective DNA pooling with thawed blood samples successfully identified two QTL previously shown by selective genotyping to affect resistance in chickens to Marek's disease. It is proposed that use of selective DNA pooling can provide relatively low-cost mapping and use in marker-assisted selection of QTL that affect production traits in chickens.

Alleles↗
PubMed2002

A PCR-based method for the detection of Streptococcus agalactiae in milk.

Bovine mastitis caused by Streptococcus agalactiae is mainly subclinical and therefore can be diagnosed only in the laboratory. We developed a polymerase chain reaction (PCR)-based method for specific and sensitive detection of S. agalactiae in raw milk. The specificity of the PCR reaction is based on unique S. agalactiae DNA sequences within the 16S subunit of the rRNA genes. Two pairs of sequences were used as positive controls; general streptococci primers, which anneal to conserved areas within the 16S rRNA subunit gene, and primers, which anneal to sequences within bovine mitochondrial DNA. The method of detection includes selective enrichment of S. agalactiae in the milk sample, followed by DNA extraction using a rapid and simple procedure developed for this purpose, and specific PCR reaction with appropriate controls. The method enables the detection of one bacterium in 1 ml of raw milk. The method developed can be easily incorporated as part of routine screening of bulk milk collection tanks for early detection of infected cows in a herd.

Animals↗
PubMed2001

A whole genome scan for quantitative trait loci affecting milk protein percentage in Israeli-Holstein cattle, by means of selective milk DNA pooling in a daughter design, using an adjusted false discovery rate criterion.

Selective DNA pooling was employed in a daughter design to screen all bovine autosomes for quantitative trait loci (QTL) affecting estimated breeding value for milk protein percentage (EBVP%). Milk pools prepared from high and low daughters of each of seven sires were genotyped for 138 dinucleotide microsatellites. Shadow-corrected estimates of sire allele frequencies were compared between high and low pools. An adjusted false discovery rate (FDR) method was employed to calculate experimentwise significance levels and empirical power. Significant associations with milk protein percentage were found for 61 of the markers (adjusted FDR = 0.10; estimated power, 0.68). The significant markers appear to be linked to 19--28 QTL. Mean allele substitution effects of the putative QTL averaged 0.016 (0.009--0.028) in units of the within-sire family standard deviation of EBVP% and summed to 0.460 EBVP%. Overall QTL heterozygosity was 0.40. The identified QTL appear to account for all of the variation in EBVP% in the population. Through use of selective DNA pooling, 4400 pool data points provided the statistical power of 600,000 individual data points.

Alleles↗
PubMed1999

New strategies for the treatment of type 2 diabetes.

This review of current developments in the treatment of type 2 diabetes focuses on the achievement of normoglycemia through appropriately defined goals of diet, exercise, and drug therapy. Clinical nutritionists are central partners in the management of type 2 diabetes, and nutrition therapy is still considered the first-line therapy of choice. A nutritionist's role in the treatment at type 2 diabetes is to ensure an individualized, nutritionally adequate diet for patients, uncomplicated by episodes of hypoglycemia. In this role, clinical nutritionists must be aware of potential drug interactions with diet therapy and may be able to provide essential feedback about possible drug interactions to other members of the health care team, including nurses, pharmacists, and physicians. The role of insulin in treating type 2 diabetes is reexamined in the light of newly available oral antidiabetic agents and increasing awareness of the importance of insulin resistance and hyperinsulinemia in the development of diabetes complications. Because many patients use insulin to reduce blood glucose and glycated hemoglobin (HbA1c) to acceptable levels, management should combine diet therapy with insulin and/or 1 or 2 oral antidiabetic agents to help minimize the dose of exogenous insulin needed for glucose control.

Diabetes Mellitus, Type 2↗
PubMed1999

An MspI polymorphism at the bovine growth hormone (bGH) gene is linked to a locus affecting milk protein percentage.

SSCP analysis of the bovine growth hormone (bGH) gene in Israel Holstein dairy cattle uncovered five intragenic haplotypes, denoted A to E. Of these, Haplotype E differed from the others at six fragments; one of which corresponded to the polymorphic MspI site in intron III, at which haplotype E carried the disabled MspI (-) allele. Haplotype E was observed in a single sire only, carrying haplotype A as the second bGH allele. In 523 daughters of this sire genotyped for the MspI polymorphism, heterozygous (+/-) as compared to homozygous (+/+) daughters, showed a significant increasing effect on protein percentage and kg protein per year; and a decreasing effect (P < 0.10) on milk somatic cell counts (MSSC). None of the daughters were homozygous (-/-), indicating that the frequency of this allele in the general population was essentially zero. Calculated skewness (g1) values for the two daughter groups differed significantly with (+/-) daughters showing negative skewness (in the direction of lower protein percentage), and (+/+) daughters positive skewness (in the direction of higher protein percentage). The direction of skewness in each group is indicative of the presence of a QTL having an increasing effect on milk protein percentage in coupling linkage with the MspI (-) allele in this sire, but at some distance from it. Maximum likelihood estimates of the proportion of recombination (r) between the putative QTL and bGH, and the allele substitution effect at the QTL (d), were r = 0.33, a = 0.07% protein, with standard errors 0.058 and 0.009% protein, respectively.

Animals↗
PubMed1998

Quantitative trait locus mapping in dairy cattle by means of selective milk DNA pooling using dinucleotide microsatellite markers: analysis of milk protein percentage.

"Selective DNA pooling" accomplishes quantitative trait locus (QTL) mapping through densitometric estimates of marker allele frequencies in pooled DNA samples of phenotypically extreme individuals. With poly(TG) microsatellites, such estimates are confounded by "shadow" ("stutter") bands. A correction procedure was developed on the basis of an observed linear regression between shadow band intensity and allele TG repeat number. Using this procedure, a selective DNA pooling study with respect to milk protein percentage was implemented in Israel-Holstein dairy cattle. Pools were prepared from milk samples of high and low daughters of each of seven sires and genotyped with respect to 11 markers. Highly significant associations with milk protein percentage were found for 5 of the markers; 4 of these markers confirmed previous reports. Selective DNA pooling accessed 80.6 and 48.3%, respectively, of the information that would have been available through individual selective genotyping or total population genotyping. In effect, the statistical power of 45,600 individual genotypings was obtained from 328 pool genotypings. This methodology can make genome-wide mapping of QTL accessible to moderately sized breeding organizations.

Animals↗
PubMed1996

Association between SSCP haplotypes at the bovine growth hormone gene and milk protein percentage.

The bovine Growth Hormone gene (bGH) is an attractive candidate gene for milk production in cattle. Single-strand conformation polymorphisms at bGH were identified and used to define haplotype configurations at this gene in the Israeli Holstein dairy cattle population (Bos taurus) and in the parent animals of the International Bovine Reference Family Panel (a collection of B. taurus and B. indicus crosses). B. taurus and B. indicus haplotypes at the bGH gene differed qualitatively, confirming the previously proposed long evolutionary separation of these cattle subraces. Only a small number of bGH haplotypes were present in the Israel Holstein population. One of the haplotypes, apparently of B. indicus origin, was found to have a highly significant positive effect on milk protein percentage. This illustrates the utility of the haplotype approach for uncovering candidate gene involvement in quantitative genetic variation in agricultural populations. The strong effect of an indicine haplotype in a taurine background raises the possibility that indicine alleles at other candidate genes may comprise a genetic resource for improvement of taurine populations. It is proposed that haplotype analysis may be a useful adjunct to measures of genetic distance for evaluating rare breeds with respect to gene conservation.

Animals↗
PubMed1993

Milk as a source of deoxyribonucleic acid and as a substrate for the polymerase chain reaction.

Somatic cells in milk were used as a source of DNA and as a substrate for the polymerase chain reaction. Successful DNA extraction required a minimum total of 17 x 10(6) cells in the milk sample. The DNA yield per cell was highly variable but comparable, on average, with the yield from peripheral blood leukocytes. In all cases, direct polymerase chain reaction on milk samples, using a variety of primer pairs, yielded amplified products of correct size that were identical to those obtained by polymerase chain reaction of purified DNA extracted from milk or blood. Milk and DNA extracted from milk served as substrates for direct sequencing of part of the bovine growth hormone gene. Milk samples with added preservative were stored over 200 d without effect on the polymerase chain reaction. Thus, milk can often substitute for blood as a source of DNA for Southern blot analysis and is a preferred substrate for the polymerase chain reaction. The technical convenience of milk as a source of DNA can be expected to increase the field of application of marker-based methods for genetic analysis and genetic improvement of economic traits in dairy cattle.

Animals↗
PubMedDate not supplied

Prediction of whole blood selenium levels in patients on long-term parenteral nutrition.

In an attempt to define clinical variables which might predict the whole blood selenium level prior to supplementation, whole blood selenium levels were determined in 21 home parenteral nutrition patients who were not receiving selenium supplementation. These levels were examined for possible correlations by single and multivariant analysis with the following clinical parameters: age at initiation of home parenteral nutrition, months of home parenteral nutrition received, hematocrit, albumin, estimated length of remaining small bowel, kilocalories per kilogram actual body weight infused per day, grams protein per kilogram actual body weight infused per day, and multiple of ideal body weight. Of all the combinations of variables examined, the best correlation obtained was between whole blood selenium levels and the total kilocalories per kilogram body weight per day delivered intravenously (r = -0.89, p less than 0.001). A statistically significant correlation (r = -0.67, p less than 0.01) was also observed between selenium levels and the grams protein per kilogram actual body weight infused per day. However, inclusion of this or additional variables did not increase the predictive value of the equation describing whole blood selenium levels as a function of the calories delivered. The implication of this study is that patients requiring more intensive nutritional support develop lower selenium levels during the course of treatment. Despite these correlations, no single clinical parameter or combination of parameters, however, was of sufficient predictive value to preclude laboratory determination of whole blood selenium values in deciding which patients might benefit from selenium supplementation.

Adolescent↗