Blackburn Nicholas B, Porto Arthur, Peralta Juan M, Blangero John
1South Texas Diabetes and Obesity Institute, Department of Human Genetics, University of Texas Rio Grande Valley School of Medicine, One University Blvd., Modular Building #100, Brownsville, TX 78250 USA.
2Menzies Institute for Medical Research, University of Tasmania, Liverpool St, Hobart, TAS 17 Australia.
BMC Proc. 2018 Sep 17;12(Suppl 9):34. doi: 10.1186/s12919-018-0133-x. eCollection 2018.
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.
一种表型的遗传力是对该表型中可归因于加性遗传因素的方差百分比的估计。遗传力在基于家庭的样本群体中能得到最佳估计。传统上,这涉及使用基于家系的亲属系数,该系数由家庭成员之间收集的谱系关系生成。另一种方法是,当有密集的基因型数据时,直接测量样本之间的经验性亲属关系。本研究比较了在GAW20数据集中使用家系亲属关系和经验性亲属关系的情况。评估了两种表型:服用降胆固醇药物非诺贝特前后的甘油三酯水平和高密度脂蛋白胆固醇(HDL-C)水平。使用SOLAR(顺序寡基因连锁分析程序),基于家系的亲属关系和经验计算的亲属关系(使用IBDLD和LDAK)用于计算表型遗传力。此外,针对每种表型,使用每种亲属关系模型进行全基因组关联研究,以识别与表型变异显著相关的基因变体。变体rs247617在非诺贝特干预前后均与HDL-C水平显著相关。总体而言,使用基于家系的亲属关系或使用IBDLD或LDAK生成的任何一种经验性亲属关系计算出的表型遗传力具有可比性。使用IBDLD生成的经验性亲属关系估计的表型遗传力最接近基于家系的估计值。鉴于该数据集中家系之间不存在明显数量的未知亲属关系,预计使用经验性亲属关系时遗传力不会大幅增加,我们的计算结果支持了这一点。重要的是,这些结果表明,当有足够的基因型数据时,经验性亲属关系估计是使用基于家系的亲属关系的一种实用替代方法。