Table 2.
A summary of SNP heritability estimates for height using different methods.
| References | Dataset | Data Type | Sample Size | Number of SNPs | SNP type (applicable AF) | Methods | SNP heritability Estimates |
|---|---|---|---|---|---|---|---|
| [12] | Australian data | Individual | 35,189 | 294,831 | Array (>0.01) | LMM/REML | 0.449 |
| [22] | Australian data | Individual | 35,189 | 294,831 | Array (>0.01) | BSLMM | 0.41 |
| LMM/REML | 0.42 | ||||||
| BVSR | 0.15 | ||||||
| [59] | Australian data | Individual | 3,925 | 4,352,968 | Imputed (>0.01) | MQS | 0.28 |
| LMM/REML | 0.27 | ||||||
| HE | 0.25 | ||||||
| LDSC | 0.21 | ||||||
| [58] | Australian data | Individual | 35,189 | 294,831 | Array (>0.01) | PCGC/HE | 0.537 |
| LMM/REML | 0.510 | ||||||
| [74] | 24 Published GWAS | Summary | Average 121,000 | 4,555,718 | Imputed (>0.01) | SumHer | 0.46 |
| LDSC | 0.20 | ||||||
| [13] | UK10K | Individual | 44,126 | ~17 M | Imputed (>0.0003) | GREML-LDMS | 0.56 |
| GREML-MS | 0.523 |
Table lists SNP heritability estimates for height reported in the previous literature. Columns contain the references where the SNP heritability estimates are reported (1st column), dataset name (2nd column), data type in terms of individual-level data versus summary statistics (3rd column), sample size (4th column), number of SNPs (5th column), genotype data type in terms of array data versus imputed data (6th column), used methods (7th column) and the SNP heritability estimates (8th column). Note that the heritability estimates for height in the Austrian data using the imputed data [59] is smaller than that using the array data , which seems to be general phenomenon for many other traits.