Gene/Protein Disease Symptom Drug Enzyme Compound
Pivot Concepts:   Target Concepts:
Query: UMLS:C0012872 (DNA marker)
 929 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Human craniofacial malformations are a class of common congenital anomalies in which the etiology is heterogeneous and often poorly understood. To better delineate the molecular basis of craniofacial development, we have undertaken a series of experiments directed toward the isolation of a gene involved in human secondary palate formation. DNA marker linkage studies have been performed in a large British Columbia (B.C.) Native family in which cleft palate segregates as an X-linked trait. We have examined 62 family members, including 15 affected males and 8 obligate carrier females. A previous clinical description of the clefting defect in this kindred included submucous cleft palate and bifid or absent uvula. Our recent reevaluation of the family has indicated that ankyloglossia (tongue-tie) is also a feature of X-linked cleft palate in some of the affected males and carrier females. Ankyloglossia has previously been associated with X-linked cleft palate in an Icelandic kindred in which a gene responsible for cleft palate (CPX) was assigned to the Xq21.3-q22 region between DXYS12 and DXS17. For the B.C. kindred reported here, we have mapped the gene responsible for cleft palate and/or ankyloglossia to a more proximal position on the X chromosome. No recombination was observed between B.C. CPX and the DNA marker DXS72 (peak lod score [Zmax] = 7.44 at recombination fraction [theta] = .0) localized to Xq21.1. Recombination was observed between CPX and PGK1 (Zmax = 7.35 at theta = .03) and between CPX and DXYS1 (Zmax = 5.59 at theta = .04). These recombination events localize B.C. CPX between PGK1 and DXYS1 in the Xq13-q21.31 region.
 ...
PMID:The gene responsible for X-linked cleft palate (CPX) in a British Columbia native kindred is localized between PGK1 and DXYS1. 157 Aug 39

Association studies are designed to identify main effects of alleles across a potentially wide range of genetic backgrounds. To control for spurious associations, effects of the genetic background itself are often incorporated into the linear model, either in the form of subpopulation effects in the case of structure or in the form of genetic relationship matrices in the case of complex pedigrees. In this context epistatic interactions between loci can be captured as an interaction effect between the associated locus and the genetic background. In this study I developed genetic and statistical models to tie the locus by genetic background interaction idea back to more standard concepts of epistasis when genetic background is modeled using an additive relationship matrix. I also simulated epistatic interactions in four-generation randomly mating pedigrees and evaluated the ability of the statistical models to identify when a biallelic associated locus was epistatic to other loci. Under additive-by-additive epistasis, when interaction effects of the associated locus were quite large (explaining 20% of the phenotypic variance), epistasis was detected in 79% of pedigrees containing 320 individuals. The epistatic model also predicted the genotypic value of progeny better than a standard additive model in 78% of simulations. When interaction effects were smaller (although still fairly large, explaining 5% of the phenotypic variance), epistasis was detected in only 9% of pedigrees containing 320 individuals and the epistatic and additive models were equally effective at predicting the genotypic values of progeny. Epistasis was detected with the same power whether the overall epistatic effect was the result of a single pairwise interaction or the sum of nine pairwise interactions, each generating one ninth of the epistatic variance. The power to detect epistasis was highest (94%) at low QTL minor allele frequency, fell to a minimum (60%) at minor allele frequency of about 0.2, and then plateaued at about 80% as alleles reached intermediate frequencies. The power to detect epistasis declined when the linkage disequilibrium between the DNA marker and the functional polymorphism was not complete.
 ...
PMID:Identifying quantitative trait locus by genetic background interactions in association studies. 1717 77