Advertisement

Estimating Heritability from Nuclear Family and Pedigree Data

Protocol
Part of the Methods in Molecular Biology book series (MIMB, volume 850)

Abstract

Heritability is a measure of familial resemblance. Estimating the heritability of a trait represents one of the first steps in the gene mapping process. This chapter describes how to estimate heritability for quantitative traits from nuclear and pedigree data using the ASSOC program in the Statistical Analysis for Genetic Epidemiology (S.A.G.E.) software package. Estimating heritability rests on the assumption that the total phenotypic variance of a quantitative trait can be partitioned into independent genetic and environmental components. In turn, the genetic variance can be divided into an additive (polygenic) genetic variance, a dominance variance (nonlinear interaction effects between alleles at the same locus), and an epistatic variance (interaction effects between alleles at different loci). The last two are often assumed to be zero. The additive genetic variance represents the average effects of individual alleles on the phenotype and reflects transmissible resemblance between relatives. Heritability in the narrow sense (h 2) refers to the ratio of the additive genetic variance to the total phenotypic variance. Heritability is a dimensionless population-specific parameter. ASSOC estimates association parameters (regression coefficients) and variance components from family data. ASSOC uses a linear regression model in which the total residual variance is partitioned, after regressing on covariates, into the sum of a random additive polygenic component, a random sibship component, random nuclear family components, a random marital component, and an individual-specific random component. Assortative mating, nonrandom ascertainment of families and failure to account for key confounding factors may bias heritability estimates.

Key words

Heritability Additive genetic variance Polygenic variance Total phenotypic variance Narrow sense heritability Broad sense heritability Familial aggregation Variance components Environmental variance Genetic variance Pedigrees Family data Nuclear families 

References

  1. 1.
    Visscher PM, Hill WG, Wray NR (2008) Heritability in the genomics era--concepts and misconceptions. Nat Rev Genet 9: 255–266PubMedCrossRefGoogle Scholar
  2. 2.
    Falconer DS, Mackay TFC (1996) Introduction to quantitative genetics. Longman, Harlow, EssexGoogle Scholar
  3. 3.
    Ritland K (1996) A marker-based method for inferences about quantitative inheritance in natural populations. Evolution 50: 1062–1073CrossRefGoogle Scholar
  4. 4.
    Thomas SC, Pemberton JM, Hill WG (2000) Estimating variance components in natural populations using inferred relationships. Heredity 84: 427–436PubMedCrossRefGoogle Scholar
  5. 5.
    Thomas SC (2005) The estimation of genetic relationships using molecular markers and their efficiency in estimating heritability in natural populations. Philos Trans R Soc Lond B Biol Sci 360: 1457–1467PubMedCrossRefGoogle Scholar
  6. 6.
    Vogel F, Motulsky AG (1997) Human genetics. Problems and approaches. Springer-Verlag: BerlinGoogle Scholar
  7. 7.
    George VT, Elston RC (1987) Testing the association between polymorphic markers and quantitative traits in pedigrees. Genet Epidemiol 4: 193–201PubMedCrossRefGoogle Scholar
  8. 8.
    Elston RC, George VT, Severtson F (1992) The Elston-Stewart algorithm for continuous genotypes and environmental factors. Hum Hered 42: 16–27PubMedCrossRefGoogle Scholar
  9. 9.
    Gray-McGuire C, et al (2009) Genetic association tests: a method for the joint analysis of family and case–control data. Hum Genomics 4: 2–20PubMedGoogle Scholar
  10. 10.
    George V, Elston RC (1988) Generalized modulus power transformation. Communication in statistics - Theory and Methods 17: 2933–2952CrossRefGoogle Scholar
  11. 11.
    Bochud M, et al (2005) High heritability of ambulatory blood pressure in families of East African descent. Hypertension 45: 445–450PubMedCrossRefGoogle Scholar
  12. 12.
    Levy D, et al (2009) Genome-wide association study of blood pressure and hypertension. Nat Genet 41: 677–687PubMedCrossRefGoogle Scholar
  13. 13.
    Newton-Cheh C, et al (2009) Genome-wide association study identifies eight loci associated with blood pressure. Nat Genet 41: 666–676PubMedCrossRefGoogle Scholar
  14. 14.
    Yang J, et al (2010) Common SNPs explain a large proportion of the heritability for human height. Nat Genet 42: 565–569PubMedCrossRefGoogle Scholar
  15. 15.
    Komlos J, Lauderdale BE (2007) The mysterious trend in American heights in the 20th century. Ann Hum Biol 34: 206–215PubMedCrossRefGoogle Scholar
  16. 16.
    Magnusson PK, Rasmussen F (2002) Familial resemblance of body mass index and familial risk of high and low body mass index. A study of young men in Sweden. Int J Obes Relat Metab Disord 26: 1225–1231CrossRefGoogle Scholar
  17. 17.
    Bochud M, et al (2005) Heritability of renal function in hypertensive families of African descent in the Seychelles (Indian Ocean). Kidney Int 67: 61–69PubMedCrossRefGoogle Scholar
  18. 18.
    Heller RF, et al (1988) Lifestyle factors in monozygotic and dizygotic twins. Genet Epidemiol 5: 311–321PubMedCrossRefGoogle Scholar
  19. 19.
    Elston RC, Boklage CE (1978) An examination of fundamental assumptions of the twin method. Prog Clin Biol Res 24A: 189–199PubMedGoogle Scholar
  20. 20.
    Hall JG (2003) Twinning. Lancet 362: 735–743PubMedCrossRefGoogle Scholar
  21. 21.
    Seidlerova J, et al (2008) Heritability and intrafamilial aggregation of arterial characteristics. J Hypertens 26: 721–728PubMedCrossRefGoogle Scholar
  22. 22.
    Bochud M, et al (2009) Ethnic differences in proximal and distal tubular sodium reabsorption are heritable in black and white populations. J Hypertens 27: 606–612PubMedCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  1. 1.Institute of Social and Preventive MedicineUniversity of LausanneLausanneSwitzerland

Personalised recommendations