The aim of this study was to perform a segregation analysis in order to assess the possible
existence of major genes affecting hip and / or elbow dysplasia in four Finnish dog populations.
The aim of the study was to assess the possible existence
of major genes influencing hip and elbow dysplasia in four dog populations.
The
existence of a major gene was considered likely for hip dysplasia in all the breeds and for elbow dysplasia in one breed.
Several procedures were followed to exclude the possible false
detection of major genes based on non-normality of data: permuted datasets were analysed, data - transformations were applied, and residuals were judged for normality.
In the German Shepherd, the Golden Retriever, and the Labrador Retriever,
estimates of the major gene variance for ED from the shuffled data sets were, at least in one data set, similar to the estimates obtained from the original data.
«Ninety five percent of the aromatic rice analyzed shared the same version
of the major gene for fragrance found in Thai Jasmine rice,» says Dr. Melissa Fitzgerald, grain quality researcher at IRRI.
The very large estimates
of major gene variance and allele frequency for ED in all breeds, and especially in the Labrador Retriever, seem to be over-estimations when considered together with all the other results.
«The unique aroma of Thai Jasmine rice is a result of a combination of the presence of the
version of the major gene for fragrance, other minor genes, and the climatic and soil conditions in Thailand where Thai Jasmine rice is grown,» says Dr. Sackville Hamilton.
In addition to quantitative inheritance, the
possibility of a major gene (Todhunter et al, 1999, Everts, 2000) and of mitochondrial (Janss and Brascamp, 1998) inheritance have been suggested.
«Our work showed that SPIKE is indeed one
of the major gene responsible for the yield increase that breeders have spent many years searching for,» said Dr. Inez Slamet - Loedin, head of IRRI's Genetic Transformation Laboratory.
Oligonucleotide probe selection and synthesis — The 1,178 genes comprising the Falk Center for Molecular Therapeutics (FCMT) Rat CNS microarray were compiled from currently available NCBI / EMBL / TIGR rat sequence databases and commercially available central nervous system (CNS) microarrays (Affymetrix, Santa Clara, CA) and provided representation from greater than 90 %
of the major gene ontological categories [47].
In elbow dysplasia, further analyses suggested the existence
of major genes only in the Rottweiler.
These family - specific distributions did not show any
signs of major genes, for example multimodality.
No major gene variances were obtained for HD from the shuffled data sets, and thus it can be considered likely that
evidence of major genes was unlikely to have been a spurious result caused by nongenetic effects.
Further, reanalyses from randomly drawn samples were made to evaluate the possibility of false
detection of major genes.
In a previous study (Mäki et al, 2002) on the same breeds and data sets, no
indication of major genes was found based on within - sire phenotypic distributions of the left hip and elbow joints of the dogs.
Previously, a possibility of the
existence of a major gene for hip dysplasia has been reported in the German Shepherd Dog and the Labrador Retriever (Leighton, 1997).
Ara h1, Ara h2, and Ara h3 are three
of the major genes that peanut plants use to store seed protein.
The group isolated
all of the major genes in the pathway.
If any analyses of the five shuffled data sets did not give similar estimates
of a major gene as the analyses from the original data, H0 was rejected, and the existence of a major gene was considered as likely.
This does not, however, rule out the possibility
of a major gene affecting either of the traits, because the effect of a major gene would have to be very large to affect the distributions of the traits in studies of this kind.
An effect
of a major gene genotype was added to the polygenic models to analyse the existence of a major gene.
If the detection
of a major gene were caused by for example environmental factors, shuffling the data would not affect the estimate of the major gene variance.
On the other hand, if detection
of a major gene were «real», shuffling the data should obscure the detection of a major gene.
Detection
of major genes was based on a Bayesian modelling approach to segregation analysis (Janss et al, 1995).