Familial tendency to foetal loss analysed with Bayesian graphical models by Gibbs sampling.

Journal article

This paper presents several models for investigating whether the HLA allogenotypes DR1/Br, DR3 and DR10 are genetic markers for a predisposition of experiencing unexplained recurrent foetal losses. A total of 199 women from 113 families answered questionnaires concerning their pregnancies and 145 of these women were HLA typed. The analysis of the data is complicated as dependencies between pregnancy outcomes are expected. The main purpose of the paper is to illustrate how such analyses can be performed using Bayesian graphical models and Gibbs sampling. The analyses are made using the programs BUGS and CODA. Markov chain Monte Carlo analyses within a Bayesian framework have become easier with the introduction of these programs. However, experience shows that some caution is required so we recommend making some initial analyses using very simple models and perhaps approximative methods, followed by a model development introducing increasing complexity.

Authors: Hundborg, H; Hojbjerre, M; Bjarne Christiansen, O; Lauritzen, S

• Publication status: Published
• Journal: Statistics in medicine
• Volume: 19
• Issue: 16
• Pages: 2147-2168
• Publication date: 2000-08-01
• DOI: 10.1002/1097-0258(20000830)19:16<2147::aid-sim498>3.0.co;2-c
• EISSN: 1097-0258
• ISSN: 0277-6715
• Language: English
• Keywords: Alleles; Adult; Odds Ratio; HLA Antigens; HLA-DR Antigens; Genetic Predisposition to Disease; Markov Chains; Questionnaires; Pregnancy Outcome; Genetic Markers; Abortion, Habitual; Female; Monte Carlo Method; Statistical Distributions; Humans; Infant, Newborn; Likelihood Functions; Bayes Theorem; Pregnancy; Models, Statistical