Details
| Original language | English |
|---|---|
| Pages (from-to) | 143-151 |
| Number of pages | 9 |
| Journal | Human heredity |
| Volume | 69 |
| Issue number | 3 |
| Publication status | Published - 18 Dec 2009 |
Abstract
The Haseman-Elston method is a simple regression approach for detecting genetic linkage to quantitative traits in sib-pair studies. Although this method and especially the new extended Haseman-Elston approach are quite robust, there might be some loss of power for non-normally distributed traits. We propose using rank transformation techniques, which either combine the information on a trend in locations and in scales or detect a trend only for a subset of the trait variables for genetically different sibs under linkage. As this rank transformation is based on linear regression, no exact grouping of identity by descent proportions has to be assumed. Simulation results indicate a gain in power compared to recently suggested nonparametric methods.
Keywords
- Haseman-Elston regression, Location-scale alternative, Nonparametric
ASJC Scopus subject areas
- Biochemistry, Genetics and Molecular Biology(all)
- Genetics
- Medicine(all)
- Genetics(clinical)
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In: Human heredity, Vol. 69, No. 3, 18.12.2009, p. 143-151.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Rank transformation in haseman-elston regression using scores for location-scale alternatives
AU - Gerhard, Daniel
AU - Hothorn, Ludwig A.
PY - 2009/12/18
Y1 - 2009/12/18
N2 - The Haseman-Elston method is a simple regression approach for detecting genetic linkage to quantitative traits in sib-pair studies. Although this method and especially the new extended Haseman-Elston approach are quite robust, there might be some loss of power for non-normally distributed traits. We propose using rank transformation techniques, which either combine the information on a trend in locations and in scales or detect a trend only for a subset of the trait variables for genetically different sibs under linkage. As this rank transformation is based on linear regression, no exact grouping of identity by descent proportions has to be assumed. Simulation results indicate a gain in power compared to recently suggested nonparametric methods.
AB - The Haseman-Elston method is a simple regression approach for detecting genetic linkage to quantitative traits in sib-pair studies. Although this method and especially the new extended Haseman-Elston approach are quite robust, there might be some loss of power for non-normally distributed traits. We propose using rank transformation techniques, which either combine the information on a trend in locations and in scales or detect a trend only for a subset of the trait variables for genetically different sibs under linkage. As this rank transformation is based on linear regression, no exact grouping of identity by descent proportions has to be assumed. Simulation results indicate a gain in power compared to recently suggested nonparametric methods.
KW - Haseman-Elston regression
KW - Location-scale alternative
KW - Nonparametric
UR - http://www.scopus.com/inward/record.url?scp=72149122653&partnerID=8YFLogxK
U2 - 10.1159/000267994
DO - 10.1159/000267994
M3 - Article
C2 - 20029226
AN - SCOPUS:72149122653
VL - 69
SP - 143
EP - 151
JO - Human heredity
JF - Human heredity
SN - 0001-5652
IS - 3
ER -