eCite Digital Repository

Heritability and genetic associations of triglyceride and HDL-C levels using pedigree-based and empirical kinships

Citation

Blackburn, NB and Porto, A and Peralta, JM and Blangero, J, Heritability and genetic associations of triglyceride and HDL-C levels using pedigree-based and empirical kinships, BMC Proceedings, 12, (Suppl 9) pp. 129-258. ISSN 1753-6561 (2018) [Refereed Article]


Preview		PDF (Published version)
1Mb		  

Copyright Statement

© The Author(s) 2018. Open Access This article is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) License, (https://creativecommons.org/licenses/by/4.0/) which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.

DOI: doi:10.1186/s12919-018-0133-x

Abstract

The heritability of a phenotype is an estimation of the percent of variance in that phenotype that is attributable to additive genetic factors. Heritability is optimally estimated in family-based sample populations. Traditionally, this involves use of a pedigree-based kinship coefficient generated from the collected genealogical relationships between family members. An alternative, when dense genotype data are available, is to directly measure the empirical kinship between samples. This study compares the use of pedigree and empirical kinships in the GAW20 data set. Two phenotypes were assessed: triglyceride levels and high-density lipoprotein cholesterol (HDL-C) levels pre- and postintervention with the cholesterol-reducing drug fenofibrate. Using SOLAR (Sequential Oligogenic Linkage Analysis Routines), pedigree-based kinships and empirically calculated kinships (using IBDLD and LDAK) were used to calculate phenotype heritability. In addition, a genome-wide association study was conducted using each kinship model for each phenotype to identify genetic variants significantly associated with phenotypic variation. The variant rs247617 was significantly associated with HDL-C levels both pre- and post-fenofibrate intervention. Overall, the phenotype heritabilities calculated using pedigree based kinships or either of the empirical kinships generated using IBDLD or LDAK were comparable. Phenotype heritabilities estimated from empirical kinships generated using IBDLD were closest to the pedigree-based estimations. Given that there was not an appreciable amount of unknown relatedness between the pedigrees in this data set, a large increase in heritability in using empirical kinship was not expected, and our calculations support this. Importantly, these results demonstrate that when sufficient genotypic data are available, empirical kinship estimation is a practical alternative to using pedigree-based kinships.

Item Details

Item Type:Refereed Article
Keywords:kinship, lipids, genetics
Research Division:Biological Sciences
Research Group:Bioinformatics and computational biology
Research Field:Statistical and quantitative genetics
Objective Division:Expanding Knowledge
Objective Group:Expanding knowledge
Objective Field:Expanding knowledge in the biological sciences
UTAS Author:Blackburn, NB (Dr Nicholas Blackburn)
ID Code:144994
Year Published:2018
Deposited By:Menzies Institute for Medical Research
Deposited On:2021-06-23
Last Modified:2021-09-08
Downloads:0

Repository Staff Only: item control page