Two approaches of quantitative-trait linkage analysis.

Shaoyong Su, Dong Feng Gu

Research output: Contribution to journalReview article

Abstract

ln this article, we discussed two model-free methods for detecting genetic linkage for quantitative traits, Haseman-Elston regression approach and variance components approach. The former is a regression approach for detecting linkage based on the squared difference or squared sums in quantitative trait values of sib-pairs and their estimated marker IBD scores. The latter can jointly model covariate effects along with variance components, including genetic component and non-genetic sources of variability. We have outlined the model assumption, the algorithm and the extensions for the both methods.

Original languageEnglish (US)
Pages (from-to)253-256
Number of pages4
JournalYi chuan = Hereditas / Zhongguo yi chuan xue hui bian ji
Volume26
Issue number2
StatePublished - Jan 1 2004
Externally publishedYes

Fingerprint

Genetic Linkage

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Two approaches of quantitative-trait linkage analysis. / Su, Shaoyong; Gu, Dong Feng.

In: Yi chuan = Hereditas / Zhongguo yi chuan xue hui bian ji, Vol. 26, No. 2, 01.01.2004, p. 253-256.

Research output: Contribution to journalReview article

@article{a557411241ff41f2a6ce6111e9890273,
title = "Two approaches of quantitative-trait linkage analysis.",
abstract = "ln this article, we discussed two model-free methods for detecting genetic linkage for quantitative traits, Haseman-Elston regression approach and variance components approach. The former is a regression approach for detecting linkage based on the squared difference or squared sums in quantitative trait values of sib-pairs and their estimated marker IBD scores. The latter can jointly model covariate effects along with variance components, including genetic component and non-genetic sources of variability. We have outlined the model assumption, the algorithm and the extensions for the both methods.",
author = "Shaoyong Su and Gu, {Dong Feng}",
year = "2004",
month = "1",
day = "1",
language = "English (US)",
volume = "26",
pages = "253--256",
journal = "Yi chuan = Hereditas / Zhongguo yi chuan xue hui bian ji",
issn = "0253-9772",
publisher = "Ke xue chu ban she",
number = "2",

}

TY - JOUR

T1 - Two approaches of quantitative-trait linkage analysis.

AU - Su, Shaoyong

AU - Gu, Dong Feng

PY - 2004/1/1

Y1 - 2004/1/1

N2 - ln this article, we discussed two model-free methods for detecting genetic linkage for quantitative traits, Haseman-Elston regression approach and variance components approach. The former is a regression approach for detecting linkage based on the squared difference or squared sums in quantitative trait values of sib-pairs and their estimated marker IBD scores. The latter can jointly model covariate effects along with variance components, including genetic component and non-genetic sources of variability. We have outlined the model assumption, the algorithm and the extensions for the both methods.

AB - ln this article, we discussed two model-free methods for detecting genetic linkage for quantitative traits, Haseman-Elston regression approach and variance components approach. The former is a regression approach for detecting linkage based on the squared difference or squared sums in quantitative trait values of sib-pairs and their estimated marker IBD scores. The latter can jointly model covariate effects along with variance components, including genetic component and non-genetic sources of variability. We have outlined the model assumption, the algorithm and the extensions for the both methods.

UR - http://www.scopus.com/inward/record.url?scp=32644438077&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=32644438077&partnerID=8YFLogxK

M3 - Review article

C2 - 15662739

AN - SCOPUS:32644438077

VL - 26

SP - 253

EP - 256

JO - Yi chuan = Hereditas / Zhongguo yi chuan xue hui bian ji

JF - Yi chuan = Hereditas / Zhongguo yi chuan xue hui bian ji

SN - 0253-9772

IS - 2

ER -