section_path: Reign/Genealogy and population affinities
section_name: Genealogy and population affinities
paragraph_text: Genealogy and population affinities
  
  A genetic study, published in 2020, revealed Tutankhamun had the haplogroups YDNA R1b, which originated in western Asia and which today makes up 50–60% of the genetic pool of modern Europeans, and mtDNA K, which originated in the Near East. He shares this Y-haplogroup with his father, the KV55 mummy (Akhenaten), and grandfather, Amenhotep III, and his mtDNA haplogroup with his mother, The Younger Lady, his grandmother, Tiye, and his great-grandmother, Thuya. The profiles for Tutankhamun and Amenhotep III were incomplete and the analysis produced differing probability figures despite having concordant allele results. Because the relationships of these two mummies with the KV55 mummy had previously been confirmed in an earlier study, the haplogroup prediction of both mummies could be derived from the full profile of the KV55 data.
  
  In 2022, S.O.Y. Keita analysed 8 Short Tandem loci (STR) data originally published by Hawass et al. in studies from 2010 and 2012. The first of these studies had investigated familial relationships among 11 royal mummies of the New Kingdom, which included Tutankhamun and Amenhotep III, as well as potential inherited disorders and infectious diseases. The second of these studies had investigated the Y-haplogroups and genetic kinship of Ramesses III and an unknown man buried along with him in the royal cache at Deir el Bahari. Keita analysed the STR data from these studies using an algorithm that only has three choices: Eurasians, sub-Saharan Africans, and East Asians. Using these three options, Keita concluded that the majority of the samples had a population "affinity with ' sub-Saharan ' Africans in one affinity analysis". However, Keita cautioned that this does not mean that the royal mummies "lacked other affiliations", which he argued had been obscured in typological thinking. Keita further added that different "data and algorithms might give different results", reflecting the complexity of biological heritage and the associated interpretation.