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| MENDEL is a set of Fortran 77 routines for the genetic
analysis of human pedigree data. Its use is well established for segregation analysis,
linkage calculations and genetic counseling. A detailed description of the algorithms is
provided in Lange et al, 1988. Users can also consult other papers by Lange and colleagues
(Lange and Elston 1975; Lange and Boehnke, 1983; Lange and Goradia, 1987; Goradia et al,
1992) for the theoretical background. Cyrillic
incorporates a version of MENDEL which performs likelihood calculations for conditions
with age-dependent penetrance. MENDEL automatically handles both inbreeding and monozygous
twinning.
As standard, Cyrillic is provided with penetrance tables
for predisposition to breast/ovarian cancer based on Claus population frequencies (Claus
et al, 1996). It is however possible to input ones own population data (penetrances,
prior probabilities of genotypes), and to use MENDEL for other disorders. An option to use
the Gompertz function for penetrances as an alternative to penetrance tables. |
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| Claus et al. The genetic
attributable risk of breast and ovarian cancer. Cancer 1996;77:2318-2324. Goradia et al. Fast computation of genetic
likelihoods on human pedigree data. Hum Hered 1992;42:42-62.
Lange et al. Programs for pedigree
analysis: MENDEL, FISHER, and dGENE. Genet Epid 1988;5:471-472.
Lange K, Elston RC. Extension to
pedigree analysis. I. Likelihood calculations for simple and complex pedigrees. Hum Hered
1975;25:95-105.
Lange K, Boehnke M. Extensions to
pedigree analysis. V. Optimal calculation of Mendelian likelihoods. Hum Hered
1983;33:291-303.
Lange K, Goradia TM. An algorithm
for automatic genotype elimination. Am J Hum Genet 1987;40:250-256. |
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| Examples for using MENDEL are provided in the Cyrillic
manual. The Help files also contain more information. Cyrillic uses the version of MENDEL developed by Ken Lange and colleagues. The
developer assumes no legal liability for use of the software or algorithms.
(Lange et al. Programs for pedigree
analysis: MENDEL, FISHER, and dGENE. Genet Epid 1988;5:471-472. ) |
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