# Estimating Heritability from Nuclear Family and Pedigree Data.

### Details

Serval ID

serval:BIB_5F4354DA58AB

Type

**Article**: article from journal or magazin.

Collection

Publications

Fund

Title

Estimating Heritability from Nuclear Family and Pedigree Data.

Journal

Methods in molecular biology

ISSN

1940-6029 (Electronic)

ISSN-L

1064-3745

Publication state

Published

Issued date

2017

Peer-reviewed

Oui

Volume

1666

Pages

195-210

Language

english

Notes

Part of the Methods in Molecular Biology book series (MIMB, volume 1666)

Abstract

Heritability is a measure of familial resemblance. Estimating the heritability of a trait could be 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 in 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 random components such as an 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.

Keywords

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

Pubmed

Create date

13/10/2017 13:59

Last modification date

25/11/2017 6:26