Home LiteratureArticle Details
PMID: 3463204 Published · ppublish English Journal Article Research Support, U.S. Gov't, P.H.S.

Bias of the contribution of single-locus effects to the variance of a quantitative trait.

American journal of human genetics ·Vol. 39 ·No. 1 ·1986-07-00 ·Pages 137-44

Boerwinkle E, Sing CF

Abstract

Advances in our understanding of the physiology of many quantitative phenotypes combined with better measurement abilities is providing a means for pursuing a measured genotype approach to partitioning the phenotypic variance into the contribution of separate loci. The standard estimate of the contribution of a single locus to the phenotypic variance applied recently in the human genetics literature is a biased statistic. We compare the biased estimates from several published studies with biased corrected estimates to illustrate the general problem.

MeSH Terms
Genetic Markers Genetic Variation Genetics, Medical Humans Phenotype Probability
Chemicals
Genetic Markers
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Boerwinkle E
Sing C F
References (14)
14 references, click to expand
  1. The use of measured genotype information in the analysis of quantitative phenotypes in man. I. Models and analytical methods.
    Ann Hum Genet. 1986 May;50(Pt 2):181-94 PMID: 3435047
  2. QUANTITATIVE DIFFERENCES AND GENE DOSAGE IN THE HUMAN RED CELL ACID PHOSPHATASE POLYMORPHISM.
    Nature. 1964 Jan 18;201:299-300 PMID: 14110459
  3. Genetic analysis of systolic blood pressure in Melbourne families.
    Clin Exp Pharmacol Physiol. 1982 May-Jun;9(3):247-52 PMID: 6754176
  4. Common polymorphism of peptidase A. Electrohoretic variants associated with quantitative variation of red cell levels.
    Ann Hum Genet. 1973 Jan;36(3):267-71 PMID: 4714418
  5. Studies on blood and urine glucose in Seminole Indians: indications for segregation of a major gene.
    Am J Hum Genet. 1974 Jan;26(1):13-34 PMID: 4811752
  6. The use of biochemical data in screening for mutant alleles and in genetic counselling.
    Ann Hum Genet. 1974 Jan;37(3):315-26 PMID: 4812952
  7. The genetic determination of plasma apolipoprotein A-I levels measured by radioimmunoassay: a study of high-risk pedigrees.
    Am J Hum Genet. 1986 Mar;38(3):361-72 PMID: 3082191
  8. Apolipoprotein E polymorphism and coronary artery disease.
    Arteriosclerosis. 1983 Jul-Aug;3(4):310-5 PMID: 6882285
  9. Genetic regulation of plasma and red blood cell magnesium concentration in man. II. Segregation analysis.
    Am J Hum Genet. 1983 Sep;35(5):938-50 PMID: 6614008
  10. Heritability of quantitative variation at the group-specific component (Gc) locus.
    Am J Hum Genet. 1984 May;36(3):663-76 PMID: 6203404
  11. Role of the apolipoprotein E polymorphism in determining normal plasma lipid and lipoprotein variation.
    Am J Hum Genet. 1985 Mar;37(2):268-85 PMID: 3985008
  12. How much of variability in apolipoprotein AII concentrations is explained by polymorphism adjacent to apo-AII gene?
    Lancet. 1985 Jun 8;1(8441):1339-40 PMID: 2860532
  13. The analysis of intraclass correlation in multiple samples.
    Ann Hum Genet. 1985 Jan;49(Pt 1):75-82 PMID: 4073828
  14. Application of the lod method to the detection of linkage between a quantitative trait and a qualitative marker: a simulation experiment.
    Am J Hum Genet. 1976 Mar;28(2):167-73 PMID: 1266848
Article Info
Journal
American journal of human genetics
Abbr.
Am J Hum Genet
ISSN
0002-9297
Published
1986-07-00
Pages
137-44
Language
English
Region
United States
NLM ID
0370475
PMCID
PMC1684015
Subset
IM
Grants
NCI NIH HHS · P01 CA 26803 · United States
NHLBI NIH HHS · R01 HL24489 · United States
NHLBI NIH HHS · R01 HL30428 · United States
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: product@genelibs.com