Large-scale linkage analysis of 1302 affected relative pairs with rheumatoid arthritis

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Large-scale linkage analysis of 1302 affected relative pairs with rheumatoid arthritis

Rheumatoid arthritis is the most common systematic autoimmune disease and its etiology is believed to have both strong genetic and environmental components. We demonstrate the utility of including genetic and clinical phenotypes as covariates within a linkage analysis framework to search for rheumatoid arthritis susceptibility loci. The raw genotypes of 1302 affected relative pairs were combine...

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Multilocus linkage analysis of affected sib pairs.

OBJECTIVE The conventional affected sib pair methods evaluate the linkage information at a locus by considering only marginal information. We describe a multilocus linkage method that uses both the marginal information and information derived from the possible interactions among several disease loci, thereby increasing the significance of loci with modest effects. METHODS Our method is based ...

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Genome-wide linkage analysis of 723 affected relative pairs with late-onset Alzheimer's disease.

Previous attempts to identify genetic loci conferring risk for late-onset Alzheimer's disease (LOAD) through linkage analysis have observed some regions of linkage in common. However, due to the sometimes-considerable overlap between the samples, some of these reports cannot be considered to be independent replications. In order to assess the strength of the evidence for linkage and to obtain t...

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Incorporating quantitative variables into linkage analysis using affected sib pairs

Rheumatoid arthritis is a complex disease in which environmental factors interact with genetic factors that influence susceptibility. Incorporating information about related quantitative traits or environmental factors into linkage mapping could therefore greatly improve the efficiency and precision of identifying the disease locus. Using a multipoint linkage approach that allows the incorporat...

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"Mixture models for linkage analysis of affected sibling pairs with covariates".

To determine the genetic etiology of complex diseases, a common study design is to recruit affected sib/relative pairs (ASP/ARP) and evaluate their genome-wide distribution of identical by descent (IBD) sharing using a set of highly polymorphic markers. Other attributes or environmental exposures of the ASP/ARP, which are thought to affect liability to disease, are sometimes collected. Conceiva...

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ژورنال

عنوان ژورنال: BMC Proceedings

سال: 2007

ISSN: 1753-6561

DOI: 10.1186/1753-6561-1-s1-s100