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Families or Unrelated: The Evolving Debate in Genetic Association Studies

To help uncover the genetic determinants of complex disease, a scientist often designs an association study using either unrelated subjects or family members within pedigrees. But which of these two subject recruitment paradigms is preferable? This editorial addresses the debate over the relative me...

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Detalles Bibliográficos
Autores principales: Fardo, David W., Charnigo, Richard, Epstein, Michael P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4112473/
https://www.ncbi.nlm.nih.gov/pubmed/25077036
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author Fardo, David W.
Charnigo, Richard
Epstein, Michael P.
author_facet Fardo, David W.
Charnigo, Richard
Epstein, Michael P.
author_sort Fardo, David W.
collection PubMed
description To help uncover the genetic determinants of complex disease, a scientist often designs an association study using either unrelated subjects or family members within pedigrees. But which of these two subject recruitment paradigms is preferable? This editorial addresses the debate over the relative merits of family- and population-based genetic association studies. We begin by briefly recounting the evolution of genetic epidemiology and the rich crossroads of statistics and genetics. We then detail the arguments for the two aforementioned paradigms in recent and current applications. Finally, we speculate on how the debate may progress with the emergence of next-generation sequencing technologies.
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spelling pubmed-41124732014-07-28 Families or Unrelated: The Evolving Debate in Genetic Association Studies Fardo, David W. Charnigo, Richard Epstein, Michael P. J Biom Biostat Article To help uncover the genetic determinants of complex disease, a scientist often designs an association study using either unrelated subjects or family members within pedigrees. But which of these two subject recruitment paradigms is preferable? This editorial addresses the debate over the relative merits of family- and population-based genetic association studies. We begin by briefly recounting the evolution of genetic epidemiology and the rich crossroads of statistics and genetics. We then detail the arguments for the two aforementioned paradigms in recent and current applications. Finally, we speculate on how the debate may progress with the emergence of next-generation sequencing technologies. 2012-05-29 2012-06-01 /pmc/articles/PMC4112473/ /pubmed/25077036 Text en Copyright: © 2012 Fardo DW, et al. http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Article
Fardo, David W.
Charnigo, Richard
Epstein, Michael P.
Families or Unrelated: The Evolving Debate in Genetic Association Studies
title Families or Unrelated: The Evolving Debate in Genetic Association Studies
title_full Families or Unrelated: The Evolving Debate in Genetic Association Studies
title_fullStr Families or Unrelated: The Evolving Debate in Genetic Association Studies
title_full_unstemmed Families or Unrelated: The Evolving Debate in Genetic Association Studies
title_short Families or Unrelated: The Evolving Debate in Genetic Association Studies
title_sort families or unrelated: the evolving debate in genetic association studies
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4112473/
https://www.ncbi.nlm.nih.gov/pubmed/25077036
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