Table 2.
N | Technology | Design | Population | BP Trait | Statistical Analysis | Main Results | References |
---|---|---|---|---|---|---|---|
1851 | WES | Haplotype association analysis for ULK4 and MAP4 genes within the GAW19 data set | Mexican American | SBP, DBP, HTN | SKAT; SKAT-O; SKAT-C |
|
Datta et al. [61] |
1985 unrelated subjects and 1140 relatives | WES | Screening of SLC12A3, SLC12A1 and KCNJ1 genes exons to identify rare variants within FHS offspring cohort | Largely whites of European descent | SBP, DBP | Two-tailed paired t-test |
|
Ji et al. [62] |
4178 | Target-re-sequencing | Case-cohort study design within the CHARGE Targeted Sequencing Study on 6 BP loci | European | SBP, DBP, PP, MAP | Kernel association test |
|
Morrison et al. [63] |
92 (HYPERGENES study)2722 (BP cohort)2013 (HTN cohort) | Target-re-sequencing | Target re-sequencing of a 140-Kb DNA region of Chr. 7 to identify causal or functional variants tagged by the rs3918226 SNP | Flemish | SBP, DBP, HTN | Multivariable-adjusted models |
|
Salvi et al. [64] |
103 | WGS | Case-control study on rare variants in unrelated subjects within GAW18 data set | Mexican American | SBP, DBP, HTN | qMSAT; C-alpha; CMC |
|
Wang and Wei. [65] |
Discovery: 14,497 in first stage and 3459 in second stage | WES | To examine the impact of rare variants in CHARGE and ESP studies with meta-analysis of two-stage discovery cohorts | European and African ancestry | SBP, DBP, PP, MAP | T1; SKAT |
|
Yu et al. [66] |
142 | WGS | Test for the effects of both rare and common variants across the whole genome of unrelated individuals within the GAW18 study | Mexican American | SBP, DBP, HTN | FBAT; GCTA; SKAT |
|
Zhao et al. [67] |
1509 unrelated subjects; 256 individuals in 47 families | WGS and WES | To apply CAPL-burden and CAPL-SKAT tests to the GAW19 data set using the combined family and case–control data for HTN (GAW19) | Mexican American | SBP, DBP, HTN | CAPL-burden; CAPL-SKAT |
|
Lin et al. [68] |
142 | WGS | WGS and gene expression joint analysis in relation to SBP, DBP, and HTN (GAW19) | Mexican American | SBP, DBP, HTN | Weighted U approach |
|
Tong et al. [69] |
1851 | WES | To apply W-test on real NGS data set of hypertensive disorder (GAW19) | Mexican American | SBP, DBP, HTN | W-test |
|
Sun et al. [70] |
275 trios | WGS | To analyse rare variants within ADCY5 and UBE2E2 genes in parent-child trios (GAW18) | Mexican American | SBP, DBP, HTN | Trio-SVM |
|
Lu and Cantor. [71] |
103 unrelated individuals | WGS | To analyse rare variants from Chr. 3 (GAW18) | Mexican American | SBP, DBP, HTN | SKAT-O |
|
Derkach et al. [72] |
783 (GWAS); 506 (WGS) | WGS | To apply USR algorithm to data from GAW18 | Mexican American | SBP, DBP, HTN | USR algorithm |
|
Cao et al. [73] |
Sample number (N), Systolic Blood Pressure (SBP), Diastolic Blood Pressure (DBP), Pulse Pressure (PP), Mean Artery Pressure (MAP), Hypertension (HTN), Single Nucleotide Polymorphism (SNP), Genome-Wide Association Studies (GWAS), Whole Genome Sequencing (WGS), Whole Exome Sequencing (WES), Genetic Analysis Workshop (GAW), Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE), Exome Sequencing Project (ESP), Sequence Kernel Association Test (SKAT), Optimal Unified Test (SKAT-O), SKAT-Combined (SKAT-C), Quality-based Multivariate Score Association Test (qMSAT), Combined Multivariate and Collapsing (CMC), Family-based Association Test (FBAT), Genome-wide Complex Trait Analysis (GCTA), Combined Association in the Presence of Linkage (CAPL), support vector machine (SVM), Unified Sparse Regression (USR), Odds Ratio (OR).