2006
DOI: 10.1001/jama.296.12.1469
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Prediction of MLH1 and MSH2 Mutations in Lynch Syndrome

Abstract: Personal and family history characteristics can accurately predict the outcome of genetic testing in a large population at risk of Lynch syndrome. The PREMM(1,2) model provides clinicians with an objective, easy-to-use tool to estimate the likelihood of finding mutations in the MLH1/MSH2 genes and may guide the strategy for molecular evaluation.

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Cited by 164 publications
(122 citation statements)
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“…Because of missing information, 362 probands were excluded. Data from 1,914 probands were available for analysis (9).…”
Section: Methodsmentioning
confidence: 99%
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“…Because of missing information, 362 probands were excluded. Data from 1,914 probands were available for analysis (9).…”
Section: Methodsmentioning
confidence: 99%
“…Mutation analysis was done using methods previously described (9). Full gene sequencing of MLH1 and MSH2 was done on 898 unrelated probands that submitted blood samples to Myriad Genetics starting in 2000.…”
Section: Methodsmentioning
confidence: 99%
See 2 more Smart Citations
“…In this issue of JAMA, Balmaña and colleagues 16 and Chen and colleagues 17 present 2 new algorithms for predicting the likelihood of carrying a germline mismatch repair gene mutation. In addition, a third algorithm has recently been proposed by Barnetson et al 18 The 3 rules differ in the type of algorithm used to predict carrier status, in the patient populations used to develop and validate the rule, in the genetic testing methods used to identify carriers and evaluate prediction accuracy, and in the mismatch repair genes assessed by the methods.…”
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confidence: 99%