108 research outputs found
Statistical methods in genetics
Abstract In recent years, a very large variety of statistical methodologies, at various levels of complexity, have been put forward to analyse genotype data and detect genetic variations that may be responsible for increasing the susceptibility to disease. This review provides a concise account of a number of selected statistical methods for population-based association mapping, from single-marker tests of association to multi-marker data mining techniques for gene^gene interaction detection
R.A. Fisher and the Foundations of Statistical Biology
Chapter eight, addressing the topic of statistical biology and statistical methods in genetics
Limit Theorems for Hybridization Reactions on Oligonucleotide Microarrays
We derive herein the limiting laws for certain stationary distributions of
birth-and-death processes related to the classical model of chemical
adsorption-desorption reactions due to Langmuir. The model has been recently
considered in the context of a hybridization reaction on an oligonucleotide DNA
microarray. Our results imply that the truncated gamma- and beta- type
distributions can be used as approximations to the observed distributions of
the fluorescence readings of the oligo-probes on a microarray. These findings
might be useful in developing new model-based, probe-specific methods of
extracting target concentrations from array fluorescence readings
Genetic Markers as Instrumental Variables
The use of genetic markers as instrumental variables (IV) is receiving increasing attention from epidemiologists, economists, statisticians and social scientists. This paper examines the conditions that need to be met for genetic variants to be used as instruments. Although these have been discussed in the epidemiological, medical and statistical literature, they have not been well-defined in the economics and social science literature. The increasing availability of biomedical data however, makes understanding of these conditions crucial to the successful use of genotypes as instruments for modifiable risk factors. We combine the econometric IV literature with that from genetic epidemiology using a potential outcomes framework and review the IV conditions in the context of a social science application, examining the effect of child fat mass on academic performance.ALSPAC; Fat mass; Genetic Variants; Instrumental Variables; Mendelian Randomization; Potential Outcomes
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