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Titolo:
OPTIMAL SELECTION OF SIB PAIRS FROM RANDOM SAMPLES FOR LINKAGE ANALYSIS OF A QTL USING THE EDAC TEST
Autore:
DOLAN CV; BOOMSMA DI;
Indirizzi:
FREE UNIV AMSTERDAM,DEPT PSYCHOL,BOELELAAN 1111 NL-1081 HV AMSTERDAM NETHERLANDS
Titolo Testata:
Behavior genetics
fascicolo: 3, volume: 28, anno: 1998,
pagine: 197 - 206
SICI:
0001-8244(1998)28:3<197:OSOSPF>2.0.ZU;2-S
Fonte:
ISI
Lingua:
ENG
Soggetto:
QUANTITATIVE TRAIT LOCI; POWER;
Keywords:
QUANTITATIVE TRAIT LOCUS (QTL); SIB PAIRS; LINKAGE ANALYSIS; RANDOM SAMPLES; SIB PAIR SELECTION; EDAC TEST;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Physical, Chemical & Earth Sciences
Science Citation Index Expanded
Science Citation Index Expanded
Citazioni:
13
Recensione:
Indirizzi per estratti:
Citazione:
C.V. Dolan e D.I. Boomsma, "OPTIMAL SELECTION OF SIB PAIRS FROM RANDOM SAMPLES FOR LINKAGE ANALYSIS OF A QTL USING THE EDAC TEST", Behavior genetics, 28(3), 1998, pp. 197-206

Abstract

Percentages of extremely concordant and extremely discordant sib pairs are calculated that maximize the power to detect a quantitative trait locus (QTL) under a variety of circumstances using the EDAC test. Weassume a large fixed number of randomly sampled sib pairs, such as one would hope to find in the large twin registries, and limited resources to genotype a certain number of selected sib pairs. Our aim is to investigate whether optimal selection can be achieved when prior knowledge concerning the QTL gene action, QTL allele frequency, QTL effect size, and background (residual) sib correlation is limited or absent. To this end we calculate the best selection percentages for a large number of models, which differ in QTL gene action allele frequency, background correlation, and QTL effect size. By averaging these percentagesover gene action, over allele frequency, over gene action, and over allele frequencies, we arrive at general recommendations concerning selection percentages. The soundness of these recommendations is subsequently in a number of test cases.

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Documento generato il 26/01/20 alle ore 01:04:05