From Broad Institute, March 29,
Study highlights need to increase diversity within genetic data sets
“According to a new study, however, polygenic scores developed by studying Europeans do a better job at predicting disease risk for people of European ancestry than for those of other ancestries…
“From a clinical context, this means that current polygenic scores are significantly better in predicting the risk of common diseases for people of European ancestry than those of African ancestry,” said Alicia Martin…
This further confirms that risk predictors are more precise if they are drawn from genetic data derived from a similar ancestry,” Martin said. “It is crucial that researchers should recruit more minority populations in future genetic studies. [Emphasis added]
A number of human biodiversity advocates called Dr. Martin out on Twitter.
In other words, genetic differences among, at least, the traditionally recognized human races, such as Europeans, East Asians, and sub-Saharan Africans, are large enough that genetic analyses need to be performed on each race separately to be satisfactorily accurate enough. https://t.co/Opv2X1jYGy
— Steve Sailer (@Steve_Sailer) April 1, 2019