Linked Life Data

16463135

Source:http://linkedlifedata.com/resource/pubmed/id/16463135

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
2006-3-24
pubmed:abstractText
Probabilities or risks may change when new information is available. Common sense frequently fails in assessing this change. In such cases, Bayes' theorem may be applied. It is easy to derive and has abundant applications in biology and medicine. Some examples of the application of Bayes' theorem are presented here, such as carrier risk estimation in X-chromosomal disorders, maximal manifestation probability of a dominant trait with unknown penetrance, combination of genetic and non-genetic information, and linkage analysis. The presentation addresses the non-specialist who asks for valid and consistent explanations. The conclusion to be drawn is that Bayes' theorem is an accessible and helpful tool for probability calculations in genetics.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
May
pubmed:issn
0340-6199
pubmed:author
pubmed:issnType
Print
pubmed:volume
165
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
299-305
pubmed:dateRevised
2010-11-18
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
Useful probability considerations in genetics: the goat problem with tigers and other applications of Bayes' theorem.
pubmed:affiliation
Institut für Klinische Genetik, Medizinische Fakultät Carl Gustav Carus, Technische Universität Dresden, Fetscherstr. 74, 01307, Dresden, Germany. konrad.oexle@tu-dresden.de
pubmed:publicationType
Journal Article