Nonparametric tests for linkage with dependent sib pairs
Nonparametric tests for linkage with dependent sib pairs
Sib pair tests for linkage to a quantitative trait or affection status are examined by simulation. A sibship of size s contributes only s – 1 independent sib pairs but all s(s – 1)/2 pairs are needed for an efficient test. Redundancy increases with sibship size. Using simulated data on the null hypothesis of no linkage, we have considered equal and unequal weights. Unequal weights lose power as measured by the equivalent number of observations, and goodness of fit to the theoretical distribution is degraded. The Fisher z(r) test with equally weighted pairs is more reliable than any t(r) test based on conjectured degrees of freedom, but significance levels must be established by simulation if the number of pairs is small or redundancy is large. An approach to parametric analysis through nuisance parameters is discussed
311-318
COLLINS, A
7daa83eb-0b21-43b2-af1a-e38fb36e2a64
MORTON, NE
c668e2be-074a-4a0a-a2ca-e8f51830ebb7
31 March 1995
COLLINS, A
7daa83eb-0b21-43b2-af1a-e38fb36e2a64
MORTON, NE
c668e2be-074a-4a0a-a2ca-e8f51830ebb7
COLLINS, A and MORTON, NE
(1995)
Nonparametric tests for linkage with dependent sib pairs.
Human Heredity, 45 (6), .
Abstract
Sib pair tests for linkage to a quantitative trait or affection status are examined by simulation. A sibship of size s contributes only s – 1 independent sib pairs but all s(s – 1)/2 pairs are needed for an efficient test. Redundancy increases with sibship size. Using simulated data on the null hypothesis of no linkage, we have considered equal and unequal weights. Unequal weights lose power as measured by the equivalent number of observations, and goodness of fit to the theoretical distribution is degraded. The Fisher z(r) test with equally weighted pairs is more reliable than any t(r) test based on conjectured degrees of freedom, but significance levels must be established by simulation if the number of pairs is small or redundancy is large. An approach to parametric analysis through nuisance parameters is discussed
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Accepted/In Press date: 21 February 1995
Published date: 31 March 1995
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Local EPrints ID: 470610
URI: http://eprints.soton.ac.uk/id/eprint/470610
ISSN: 0001-5652
PURE UUID: 669a536e-2551-4cc4-916d-6f3ba0b1296a
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Date deposited: 14 Oct 2022 16:41
Last modified: 15 Oct 2022 01:33
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Author:
NE MORTON
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