Page 374 - Applied Probability
P. 374
Index
364
positive interference, 270
PCR, see Polymerase chain reac-
tion
Polygenic model, 141–165
Pedigree, 2
finite, 154
condensed identity coefficients
hypergeometric, 154–157, 164–
for, 90, 92
gene flow in, 175–177 Polygenes, 154
165
kinship matrix for, 83, 94 reproductive property, 164
likelihood for, 115–124 with inbreeding, 165
allele consolidation, 120 threshold, 154
differentiation of, 136 Polymer, 341
factoring, 122 Polymerase, 346
genotype elimination algo- Polymerase chain reaction, 346
rithm, see Genotype elim- DNA amplification by, 350
ination algorithm Polymorphic locus, 4
Ott’s representation, 117 Population isolate
numbering convention for, 82 bottleneck, 335
Penetrance, 115 Finnish recessive diseases, 333
array factoring, 123 Position interference, 270
Permutation Positive definiteness
best for radiation hybrids, 233 in Newton’s method, 40
generating random, 76 in Quasi-Newton methods, 46
in transmission/disequilibrium in scoring method, 40
test, 71 partial ordering by, 54
number of fixed points in, 311 Posterior mode, 246
two-sample t test, 76 Posterior probabilities
PGM1 locus data, 126 for genotyping errors, 192
Phase, 4 in paternity testing, 124
ambiguity in Snps, 127 Potential function, see Gibbs ran-
Phenotype, 1 dom fields, potential func-
Phylogeny, 203 tion
Poisson distribution Power-series family, 53
as approximate sum of indi- Prediction of genotypes, 97
cators, 299–315 Premessenger RNA, see RNA, pre-
as approximation to hyper- messenger
geometric distribution, 312 Primer, 346
as model for chiasmata, 258, Prior for pedigree founders, 115,
261 214
in modeling radiation hybrid factoring, 123
breakage, 232 Probe, 345
law of rare events, 300 Prokaryote, 215
mixture of, 35 Promoter region, 342, 344
restriction sites, 282 Protein, 341
Poisson-skip process, 264 construction of, 343–344
chi-square model, 270 Proximal direction, 342
map function, 265 Pseudogene, 342
