# LD score comparisons between gnomAD and UK Biobank

In this analysis, we aimed to better understand the similarities and differences between imputation-based and sequence-based LD scores. To this end, we compared LD scores from gnomAD (sequence-based) and UKB (imputation-based) across four ancestry groups: African (`AFR`

), Admixed American (`AMR`

), East Asian (`EAS`

), and North-Western European (`EUR`

; `NWE`

in gnomAD). This also serves as a more general comparison between LD scores from two separate cohorts. LD scores were obtained as follows.

## #

UKB LD scoresLD scores in UKB were computed within each ancestry group. The genotype matrix $X$ was standardized, and variants were filtered to $MAC > 20$ (the same variant-level filter as used for the Pan UKBB GWAS). For covariate correction, the residuals from the regression of $genotype \sim covariates$ were obtained via $X_{adj} = M_cX$ where $M_c = I - C(C^TC)^{-1}C^T$, the residual-maker matrix, and $C$ is the matrix of covariates. The covariates used for adjustment were the same covariates used for the Pan-UKB GWAS, namely $age$, $sex$, $age*sex$, $age^2$, $age^2*sex$, and the first 10 PCs of the genotype matrix (more information about covariate selection can be found at the Pan UKBB website). The LD matrix was produced via $\hat{r} = \frac{X_{adj}^TX_{adj}}{n}$ with a window size of $1 MB$. A bias adjustment for $\hat{r}^2$ was performed by $\tilde{r}^2 = \frac{n-1}{n-2}\hat{r}^2 - \frac{1}{n-2}$. LD scores were subsequently computed using $\tilde{r}^2$ with a radius of $1 MB$.

## #

gnomAD LD scoresLD scores were previously computed from individuals in the gnomAD cohort within each ancestry. After filtering variants to $MAF > 0.005$ and standardizing the genotype matrix $X$, the LD matrix was constructed via $\hat{r} = \frac{X^TX}{n}$ with a radius of $1 MB$. A bias adjustment for $\hat{r}^2$ was performed by $\tilde{r}^2 = \frac{n-1}{n-2}\hat{r}^2 - \frac{1}{n-2}$. LD scores were subsequently computed using $\tilde{r}^2$ with variants with $AF > 0.01$ and sufficiently high call rate ($> 0.8$) with a radius of $1 MB$.

## #

ComparisonsLD scores were compared from individuals in the gnomAD cohort from ancestries that were also analyzed in UKB, namely individuals with African (`AFR`

), Admixed American (`AMR`

), East Asian (`EAS`

), and non-Finnish European (`EUR`

; `NFE`

in gnomAD) ancestry. We restricted our comparisons to HapMap3 SNPs.

**Figure 1:** Pairwise comparisons of LD scores in UKB vs. gnomAD within ancestries. Red line is the $y=x$ line. SNPs were subsampled randomly prior to plotting to improve readability.

For these four populations, we find very strong concordance of LD scores when comparing gnomAD and UKB (**Figure 1**). $r^2$ values were consistently above $0.9$, with highest values observed for `EUR`

and `EAS`

. Correlation values for `AMR`

and `AFR`

were slightly lower. We suspect that differences may be due to (1) the higher degree of genetic diversity in these populations and (2) systematic differences in these populations between the gnomAD and UKB cohorts.