7 resultados para Lod Score

em National Center for Biotechnology Information - NCBI


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Systemic lupus erythematosus (SLE) is an autoimmune disorder characterized by production of autoantibodies against intracellular antigens including DNA, ribosomal P, Ro (SS-A), La (SS-B), and the spliceosome. Etiology is suspected to involve genetic and environmental factors. Evidence of genetic involvement includes: associations with HLA-DR3, HLA-DR2, Fcγ receptors (FcγR) IIA and IIIA, and hereditary complement component deficiencies, as well as familial aggregation, monozygotic twin concordance >20%, λs > 10, purported linkage at 1q41–42, and inbred mouse strains that consistently develop lupus. We have completed a genome scan in 94 extended multiplex pedigrees by using model-based linkage analysis. Potential [log10 of the odds for linkage (lod) > 2.0] SLE loci have been identified at chromosomes 1q41, 1q23, and 11q14–23 in African-Americans; 14q11, 4p15, 11q25, 2q32, 19q13, 6q26–27, and 12p12–11 in European-Americans; and 1q23, 13q32, 20q13, and 1q31 in all pedigrees combined. An effect for the FcγRIIA candidate polymorphism) at 1q23 (lod = 3.37 in African-Americans) is syntenic with linkage in a murine model of lupus. Sib-pair and multipoint nonparametric analyses also support linkage (P < 0.05) at nine loci detected by using two-point lod score analysis (lod > 2.0). Our results are consistent with the presumed complexity of genetic susceptibility to SLE and illustrate racial origin is likely to influence the specific nature of these genetic effects.

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Thalassemia is a heritable human anemia caused by a variety of mutations that affect expression of the α- or the β-chain of hemoglobin. The expressivity of the phenotype is likely to be influenced by unlinked modifying genes. Indeed, by using a mouse model of α-thalassemia, we find that its phenotype is strongly influenced by the genetic background in which the α-thalassemia mutation resides [129sv/ev/129sv/ev (severe) or 129sv/ev/C57BL/6 (mild)]. Linkage mapping indicates that the modifying gene is very tightly linked to the β-globin locus (Lod score = 13.3). Furthermore, the severity of the phenotype correlates with the size of β-chain-containing inclusion bodies that accumulate in red blood cells and likely accelerate their destruction. The β-major globin chains encoded by the two strains differ by three amino acids, one of which is a glycine-to-cysteine substitution at position 13. The Cys-13 should be available for interchain disulfide bridging and consequent aggregation between excess β-chains. This normal polymorphic variation between murine β-globin chains could account for the modifying action of the unlinked β-globin locus. Here, the variation in severity of the phenotype would not depend on a change in the ratio between α- and β-chains but on the chemical nature of the normal β-chain, which is in excess. This work also indicates that modifying genes can be normal variants that—absent an apparent physiologic rationale—may be difficult to identify on the basis of structure alone.

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Cerebral cavernous malformation is a common disease of the brain vasculature of unknown cause characterized by dilated thin-walled sinusoidal vessels (caverns); these lesions cause varying clinical presentations which include headache, seizure, and hemorrhagic stroke. This disorder is frequently familial, with autosomal dominant inheritance. Using a general linkage approach in two extended cavernous malformation kindreds, we have identified linkage of this trait to chromosome 7q11.2-q21. Multipoint linkage analysis yields a peak logarithm of odds (lod) score of 6.88 with zero recombination with locus D7S669 and localizes the gene to a 7-cM region in the interval between loci ELN and D7S802.

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The distribution of optimal local alignment scores of random sequences plays a vital role in evaluating the statistical significance of sequence alignments. These scores can be well described by an extreme-value distribution. The distribution’s parameters depend upon the scoring system employed and the random letter frequencies; in general they cannot be derived analytically, but must be estimated by curve fitting. For obtaining accurate parameter estimates, a form of the recently described ‘island’ method has several advantages. We describe this method in detail, and use it to investigate the functional dependence of these parameters on finite-length edge effects.