Linked Life Data

11108641

Source:http://linkedlifedata.com/resource/pubmed/id/11108641

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2000-12-12
pubmed:abstractText
Inflation of type I error occurs when conducting a large number of statistical tests in genome-wide linkage scans. Stringent alpha-levels protect against the high numbers of expected false positives but at the cost of more false negatives. A more balanced tradeoff is provided by the theory of sequential analysis, which can be used in a genome scan even when the data are collected using a fixed-sample design. Sequential tests allow complete, simultaneous control of both the type I and II errors of each individual test while using the smallest possible sample size for analysis. For fixed samples, the excess N "saved" can be used in a confirmatory, replication phase of the original findings. Using the theory of sequential multiple decision procedures [Bechhoffer et al., 1968], we can replace the series of individual marker tests with a new single, simultaneous genome-wide test that has multiple possible outcomes and partitions all markers into two subsets: the "signal" versus the "noise," with an a priori specifiable genome-wide error rate. These tests are demonstrated for the Haseman-Elston approach, are applied to real data, and are contrasted with traditional fixed-sampling tests in Monte Carlo simulations of repeated genome-wide scans. The method allows efficient identification of the true signals in a genome scan, uses the smallest possible sample sizes, saves the excess to confirm those findings, controls both types of error, and provides one elegant solution to the debate over the best way to balance between false positives and negatives in genome scans.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
0741-0395
pubmed:author
pubmed:copyrightInfo
Copyright 2000 Wiley-Liss, Inc.
pubmed:issnType
Print
pubmed:volume
19
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
301-22
pubmed:dateRevised
2010-11-18
pubmed:meshHeading
pubmed:year
2000
pubmed:articleTitle
A single, sequential, genome-wide test to identify simultaneously all promising areas in a linkage scan.
pubmed:affiliation
Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri 63110, USA. mike@wubios.wustl.edu
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S.