STOP FIGHTING NONSENSE RACE WARS AND GENDER WARS DAILY AND MAKE THIS THE ONLY PRIORITY! GOVERNMENTS NEED TO FINANCE THE SHIT OUT OF MULTIPLEXED GENE EDITING. 
This study shows that its theoretically possible to reduce susceptibility to many diseases like heart disease, schizophrenia, and even correct for human height! Going by this, probably possible to address face structure, race, etc. Anything that's polygenic in the body could theoretically be edited.
In isolation, trait-associated variants tend to have very small effects (less than around 1% of the trait standard deviation). However, the cumulative effect size across loci can be substantial. For complex traits, the effect of a polygenic score (the sum of risk variants across multiple loci weighted by the estimated effect size on risk) is comparable to that of known Mendelian mutations11.
For example, for human height, the effect size of common alleles at height-associated loci is approximately 1 mm (around 1.5% of the phenotypic standard deviation) or less, but the standard deviation of a polygenic predictor based on approximately 12,000 genome-wide significant (GWS) loci is more than 40 times larger at around 4 cm.
www.nature.com
This study shows that its theoretically possible to reduce susceptibility to many diseases like heart disease, schizophrenia, and even correct for human height! Going by this, probably possible to address face structure, race, etc. Anything that's polygenic in the body could theoretically be edited.
Fig. 1: Predicted change in phenotypic means and disease prevalence among the edited genomes.
Fig. 2: Predicted change in phenotypic means and disease prevalence among edited genomes in the presence of gene-by-environment interactions.
In isolation, trait-associated variants tend to have very small effects (less than around 1% of the trait standard deviation). However, the cumulative effect size across loci can be substantial. For complex traits, the effect of a polygenic score (the sum of risk variants across multiple loci weighted by the estimated effect size on risk) is comparable to that of known Mendelian mutations11.
For example, for human height, the effect size of common alleles at height-associated loci is approximately 1 mm (around 1.5% of the phenotypic standard deviation) or less, but the standard deviation of a polygenic predictor based on approximately 12,000 genome-wide significant (GWS) loci is more than 40 times larger at around 4 cm.
Heritable polygenic editing: the next frontier in genomic medicine? - Nature
We discuss the potential consequences and ethical concerns of polygenic genome editing of human embryos to alter specific variants associated with polygenic diseases, highlighting the possibility of reducing disease susceptibility while exacerbating health inequalities.
www.nature.com
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