Linked Life Data

18466549

Source:http://linkedlifedata.com/resource/pubmed/id/18466549

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2008-5-9
pubmed:abstractText
While genome-wide linkage studies have been successful in mapping variants underlying rare monogenic disorders, genome-wide association studies may be more appropriate for detecting common variants of modest effects that underlie common disorders. To this end, we were interested in determining whether genetic variants associated with a phenotype differed depending on whether they were within or outside of regions linked to the phenotype. In particular, we compared allele frequencies and effect sizes between associated single-nucleotide polymorphisms within and outside of linkage regions using the Genetic Analysis Workshop 15 Problem 1. We did not find any statistically significant differences between these two sets. However, our power calculations show that these results may be inconclusive.
pubmed:commentsCorrections
pubmed:language
eng
pubmed:journal
pubmed:status
PubMed-not-MEDLINE
pubmed:issn
1753-6561
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
1 Suppl 1
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
S5
pubmed:year
2007
pubmed:articleTitle
An empirical evaluation of the common disease-common variant hypothesis.
pubmed:affiliation
Department of Epidemiology and Biostatistics, Institute for Human Genetics, Universityof California, San Francisco, California 94143-0794, USA. cheng@humgen.ucsf.edu
pubmed:publicationType
Journal Article