Abstract:
Applicants have identified that three critical phenotypic/genetic measures are highly correlated with transition period health and may be used in selection and breeding protocols and/or in combination with traditional breeding and marker assisted selection methods to improve predictability of transition period health. According to the invention genetic evaluations for mastitis, ketosis, and metritis have been found to be highly predictive of overall transition health. The genetic evaluations are produced by directly measuring thousands of clinical cases of mastitis, ketosis, and metritis in ancestors of a particular animal and using this data in selection. Applicant's selection criteria and quickly impact a breeders population by reducing transition cow disease incidence in the initial population and in progeny.
Abstract:
Ancestry has a significant impact on the major and minor alleles found in each nucleotide position within the genome. Due to mechanisms of inheritance, ancestral-specific information contained within the genome is conserved within members of an ancestry. For this reason, individuals within a specific ancestry are more likely to share alleles in their genomes with other members of the same ancestry. Functionally, the combination of alleles at all positions within a group of individuals defines that group as having a common ancestry. Moreover, the aggregation of differences between alleles at all positions distinguishes one ancestry from another. The genomic similarities and differences between ancestries provides a mechanism to generate reference genomes that are specific for each ancestry. Reference genomes that are specific to an ancestry can be used to increase the accuracy of whole genome sequencing, DNA-based diagnostics and therapeutic marker discovery and in a variety of real-world DNA-based applications. Provided herein is a method for determining a prognosis for a genetic disease or disorder comprising the step of comparing a DNA sequence of or derived from the whole genome of a patient with any one or combination of two or more ancestral-specific reference genomes of an ancestral-specific reference genome database described herein to determine the level of severity of the genetic disease or disorder.
Abstract:
Most clinically distinguishable malignant tumors are characterized by specific mutations, specific patterns of chromosomal rearrangements and a predominant mechanism of genetic instability. It has been suggested that the internal dynamics of genomic modifications as opposed to the external evolutionary forces have a significant and complex impact on Darwinian species evolution. A similar situation can be expected for somatic cancer evolution as the key mechanisms encountered in species evolution such as duplications, rearrangements or deletions of genes also constitute prevalent mutation mechanisms in cancers with chromosomal instability. The invention is an algorithm which is based on a systems concept describing the putative constraints of the cancer genome architecture on somatic cancer evolution. The algorithm allows the identification of therapeutic target genes in individual cancer patients which do not represent oncogenes or tumor suppressor genes but have become putative therapeutic targets due to constraints of the cancer genome architecture on individual somatic cancer evolution. Target genes or regulatory elements may be identified by their designation as essential genes or regulatory elements in cancer cells of the patient but not in normal tissue cells or they may be identified by their impact on the process of somatic cancer evolution in individual patients based on phylogenetic trees of somatic cancer evolution and on the constructed multilayered cancer genome maps. The algorithm can be used for delivering personalized cancer therapy as well as for the industrial identification of novel anti-cancer drugs. The algorithm is essential for designing software programs which allow the prediction of the natural history of cancer disease in individual patients.
Abstract:
According to the present invention, a phylogenetic tree can be created on the basis of frequency data regarding a large number of mutations detected from the samples of a cancer. Each sample to be analyzed contains a mixture of plural clones having different genomes. Mutations having about the same frequencies are grouped to make plural groups, and an analysis is executed based on data listing the mutation frequencies of individual groups (called mutation group frequency data). It is assumed that pairs of clones corresponding respectively to mutation groups such that frequencies of one group is equal to or greater than that of another in all the samples have parent-child relations, and a graph structure having the clones as vertices and the parent-child relations as edges is created. In this graph, parent-child relations contradictory to the mutation group frequency data are removed, and a clone to become a parent is selected in consideration of correlation coefficients among the mutation group frequencies in the samples.
Abstract:
Various embodiments provide lossless compression of an enumeration space for genetic founder lines. In one embodiment, an input comprising a set of genetic founder lines and a maximum number of generations G is obtained. A set of genetic crossing templates of a height h is generated. A determination is made if at least a first genetic crossing template in the set of genetic crossing templates is redundant with respect to a second genetic crossing template in the set of genetic crossing templates. Based on the at least first genetic crossing template being redundant is redundant with respect to the second genetic crossing template, the at least first genetic crossing template is removed from the set of genetic crossing templates. This process of removing the at least first genetic crossing template from the set of genetic crossing templates the redundant creates an updated set of genetic crossing templates.
Abstract:
Various embodiments provide lossless compression of an enumeration space for genetic founder lines. In one embodiment, an input comprising a set of genetic founder lines and a maximum number of generations G is obtained. A set of genetic crossing templates of a height h is generated. A determination is made if at least a first genetic crossing template in the set of genetic crossing templates is redundant with respect to a second genetic crossing template in the set of genetic crossing templates. Based on the at least first genetic crossing template being redundant is redundant with respect to the second genetic crossing template, the at least first genetic crossing template is removed from the set of genetic crossing templates. This process of removing the at least first genetic crossing template from the set of genetic crossing templates the redundant creates an updated set of genetic crossing templates.
Abstract:
The present invention provides a method of identifying sub-populations of cells in a cellular sample. Aspects of the method include categorizing cells of the cellular sample into at least a first and second population based on a first phenotypic property. The method may further include sub-categorizing each of the first and second population into sub-populations of cells based on a second and third phenotypic property, e.g., by using X detectable labels providing Y distinct signals, wherein X>Y, to identify sub-populations of cells in the cellular sample.
Abstract:
Structures for representing images comprise a plurality of tile elements which, when illuminated by a light source, each direct an amount of light toward an observer at a viewing location dependent on their orientation angles. The orientation angles of each tile element may be selected based on a characteristic of a corresponding pixel of an image, such that the observer sees a representation of that image created by the varying amount of light directed to the viewing location by the tile elements.
Abstract:
A genetic motif extracting apparatus is adapted to extract a motif from genetic sequence information, where the motif has a regularity in a distinctive feature that specifies a genetic function. The genetic motif extracting apparatus includes a weight calculation unit for calculating a weight of each genetic sequence from a length of at least one branch of an evolution tree structure that is related to a plurality of genetic sequences, a score calculation unit for calculating a score that indicates a degree of similarity of sequence elements of the genetic sequences appearing at a site for each site of the genetic sequences using the weight calculated by the weight calculation unit, and a feature information extraction unit for extracting a part of the genetic sequence having the regularity in the distinctive feature as the motif based on the score calculated by the score calculation unit.
Abstract:
Applicants have identified that three critical phenotypic/genetic measures are highly correlated with transition period health and may be used in selection and breeding protocols and/or in combination with traditional breeding and marker assisted selection methods to improve predictability of transition period health. According to the invention genetic evaluations for mastitis, ketosis, and metritis have been found to be highly predictive of overall transition health. The genetic evaluations are produced by directly measuring thousands of clinical cases of mastitis, ketosis, and metritis in ancestors of a particular animal and using this data in selection. Applicant's selection criteria can quickly impact a breeders population by reducing transition cow disease incidence in the initial population and in progeny.