Mapping genes with longitudinal phenotypes via Bayesian posterior probabilities

Most association studies focus on disease risk, with less attention paid to disease progression or severity. These phenotypes require longitudinal data. This paper presents a new method for analyzing longitudinal data to map genes in both population-based and family-based studies. Using simulated sy...

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Detalles Bibliográficos
Autores principales: Musolf, Anthony, Nato, Alejandro Q, Londono, Douglas, Zhou, Lisheng, Matise, Tara C, Gordon, Derek
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4143622/
https://www.ncbi.nlm.nih.gov/pubmed/25519410
http://dx.doi.org/10.1186/1753-6561-8-S1-S81

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4143622/
https://www.ncbi.nlm.nih.gov/pubmed/25519410
http://dx.doi.org/10.1186/1753-6561-8-S1-S81

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