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GWAS Study

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

Blackburn NB, Porto A, Peralta JM et al.

30263045 PubMed ID
GWAS Study Type
817 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

BN
Blackburn NB
PA
Porto A
PJ
Peralta JM
BJ
Blangero J
Chapter II

Abstract

Summary of the research findings

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.

817 individuals

Chapter III

Study Statistics

Key metrics and study information

817
Total Participants
GWAS
Study Type
No
Replicated
Chapter IV

Analysis

Comprehensive review of health and genetic findings

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