ZIA CP005804-08244 (ZIA) | |||
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Title | Non-Hodgkin's Families | ||
Institution | NCI, Bethesda, MD | ||
Principal Investigator | Caporaso, Neil | NCI Program Director | N/A |
Cancer Activity | N/A | Division | DCEG |
Funded Amount | $37,009 | Project Dates | 00/00/0000 - 00/00/0000 |
Fiscal Year | 2017 | Project Type | Intramural |
Research Topics w/ Percent Relevance | Cancer Types w/ Percent Relevance | ||
Agent Orange/Dioxin Related (20.0%) Biochemical Epidemiology (45.0%) Cancer (100.0%) |
Non Hodgkins Lymphoma (100.0%) | ||
Research Type | |||
Endogenous Factors in the Origin and Cause of Cancer Interactions of Genes and/or Genetic Polymorphisms with Exogenous and/or Endogenous Factors |
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Abstract | |||
"""Waldenstr m macroglobulinemia (WM) is a distinctive subtype of non-Hodgkin lymphoma featuring overproduction of immunoglobulin M (IgM) and has a clear familial component. No susceptibility genes have been identified. We performed a genome-wide linkage analysis in eleven high-risk WM families having 122 individuals with DNA samples, including 34 WM cases and 10 cases of IgM monoclonal gammopathy of undetermined significance (IgM MGUS) which is a potential precursor to WM. We genotyped 1058 microsatellite markers (average spacing = 3.5 cM), performed both non-parametric and parametric linkage analysis. The strongest evidence for linkage was found on chromosomes 1q and 4q when both WM and IgM MGUS cases were considered affected; non-parametric linkage scores were 2.5 (p = 0.0089) and 3.1 (p = 0.004), respectively. Other locations suggestive of linkage were found on chromosomes 3 and 6. We used the program, Genehunter 2L to perform 2-locus non-parametric linkage analysis in suggestive regions. The two-locus results were consistent with independent effects at each locus. The regions identified on chromosomes 3 and 4 were also identified in a similar genome scan of families with Hodgkin lymphoma, suggesting that common susceptibility genes affect distinct B-cell malignancies. The findings from this first linkage analysis of high-risk WM families represent important progress toward identifying gene(s) that modulate susceptibility to WM and toward understanding its complex etiology.""" |