New England Journal of Medicine · 1988 · 243 citations · 19 references
Life SciencesGeneticsMolecular GeneticsCancer GeneticsHuman GeneticsMolecular OncologyCancer RiskGenetic DisordersGenetic RiskGenetic Risk AssessmentGenetic Risk PredictionGenomic PredictionClinical Cancer DiagnosisClinical Genetic DiagnosisGenetic PolymorphismsGenetic Predisposition To CancerHereditary Cancer RiskHereditary RetinoblastomaInherited Cancer RiskRestriction Fragment Length Polymorphism Analysis
Using molecular cloning, we earlier isolated the "retinoblastoma gene"; mutations or deletions at this locus are associated with the hereditary predisposition to some human cancers, especially retinoblastoma and osteosarcoma. To develop diagnostic tests for such a predisposition, we identified restriction-fragment-length polymorphisms (RFLPs) within the retinoblastoma gene and tested their usefulness in predicting the risk of cancer in 20 families with members who had hereditary retinoblastoma. We were able to make predictions in 19 of the 20 kindreds. In 18 kindreds, we demonstrated a consistent association of marker RFLPs with the mutation predisposing to retinoblastoma. In the 19th kindred, there may be a lack of cosegregation of the DNA polymorphisms within the gene and the site of the mutation predisposing to retinoblastoma. However, there is uncertainty about the clinical diagnosis of the retinal lesion in a key member of this kindred; if the lesion is not a retinoblastoma, there is no discrepancy between the DNA polymorphisms and the retinoblastoma trait. We conclude that it is feasible and clinically useful to use these DNA polymorphisms to determine the risk of cancer.
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A human DNA segment with properties of the gene that predisposes to retinoblastoma and osteosarcoma
Stephen Friend, René Bernards, Snezna Rogelj et al. · Nature · 1986 · 3K citations · Full text
Expression of recessive alleles by chromosomal mechanisms in retinoblastoma
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Variable Number of Tandem Repeat (VNTR) Markers for Human Gene Mapping
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Easy calculations of lod scores and genetic risks on small computers.
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