Korean J Epidemiol.  2003 Jun;25(1):24-31.

Estimation of heritability attributable to single-locus effects with a regression of offspring on mid-parent (ROMP) method for cardiovascular risk factors

Affiliations
  • 1Graduate School of Health Science and Management, Yonsei University. jsunha@yumc.yonsei.ac.kr
  • 2Cardiovascular Research Institute, Cardiovascular Genome Center, Yonsei University Medical Center.

Abstract

PURPOSE
The objective of this study was to estimate the heritability attributable to single-locus effects with a regression of offspring on mid-parent (ROMP) method for cardiovascular risk factors.
METHODS
The regression of offspring on mid-parent is determined with and without the inclusion of a single-locus effect, and the difference between the slopes of these two regression is an estimate of the heritability attributable to the single-locus effect. The study population included 1,550 family members of 295 patients, derived from cardiovascular genome center. The risk factors considered were total serum cholesterol, triglyceride, LDL cholesterol, apoAI and apoB. Heritability was estimated from the slope of the linear regression of offspring on mid-parents.
RESULTS
Estimated heritability was 35 to 46% for total cholesterol with 6.2% attributable to polymorphism S128R. For triglyceride, the estimated heritability was 47.6% with 2% attributable to polymorphism G-217A. The heritability was 36-46% for LDL-cholesterol. For LDL cholesterol, S128R specific effect was 8.7%. Estimated heritability was 62.2% for apoAI with 3.2% attributable to polymorphism G-217A and 58 to 75% for apoB with 5.4% attributable to polymorphism S128R.
CONCLUSIONS
These traits were significantly associated with polymorphism S128R. These results highlight the importance of considering genetic factors in studies of cardiovascular risk factors. Unlike traditional population-based tests of association, ROMP appears to be robust with respect to population stratification.

Keyword

Quantitative traits; Heritability; Cardiovascular; Risk factor

MeSH Terms

Apolipoproteins B
Cholesterol
Cholesterol, LDL
Genome
Humans
Linear Models
Risk Factors*
Triglycerides
Apolipoproteins B
Cholesterol
Cholesterol, LDL
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