Statistical genetics and genetical statistics: a forensic perspective

被引:12
作者
Egeland, T [1 ]
Mostad, PF
机构
[1] Natl Univ Hosp, Ctr Epidemiol, N-0027 Oslo, Norway
[2] Chalmers Tech Univ, Gothenburg, Sweden
关键词
Bayes; DNA; forensic statistics; genetics; identification; kinship; likelihood ratio; mutation;
D O I
10.1111/1467-9469.00284
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
This review paper focuses on forensic aspects of the relation between statistics and genetics. Some of the scientific achievements of the Swedish psychiatrist and geneticist Erik Essen-Moller may be viewed in the above interdisciplinary context. In a number of situations the correct familial relation between a group of individuals is required. We discuss recent work done to relax some assumptions involved in the classical calculations in Essen-Moller (1938). Moreover, we extend the discussion to identification problems. In a given case there may be a large number of possible family constellations or pedigrees. A prior probability distribution is established. The posterior model accounts for the combinatorial complexities of the pedigrees, mutations, kinship, and uncertainty in allele frequencies. Examples are based on the shareware program FAMILIAS, see http://www.nr.no/familias. A main message of the present paper is that the Bayesian approach is a convenient framework to down-weight unreasonable (e.g. incestuous) pedigrees that may always appear likely if only DNA-measurements are used.
引用
收藏
页码:297 / 307
页数:11
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