2018
DOI: 10.1371/journal.pone.0195491
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Estimating genetic kin relationships in prehistoric populations

Abstract: Archaeogenomic research has proven to be a valuable tool to trace migrations of historic and prehistoric individuals and groups, whereas relationships within a group or burial site have not been investigated to a large extent. Knowing the genetic kinship of historic and prehistoric individuals would give important insights into social structures of ancient and historic cultures. Most archaeogenetic research concerning kinship has been restricted to uniparental markers, while studies using genome-wide informati… Show more

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Cited by 219 publications
(220 citation statements)
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“…Kinship before and after the genetic transition. In five burial sites, we identified first-degree relatives using the software lcmlkin 23 and READ 24 , and by calculating pairwise mismatch rates across all analyzed genomic sites between individuals (see "Methods"). Four of these sites contained more than two closely related individuals, which allowed us to reconstruct family trees spanning three generations for Oberbipp, Aesch and Singen (Fig.…”
Section: Resultsmentioning
confidence: 99%
“…Kinship before and after the genetic transition. In five burial sites, we identified first-degree relatives using the software lcmlkin 23 and READ 24 , and by calculating pairwise mismatch rates across all analyzed genomic sites between individuals (see "Methods"). Four of these sites contained more than two closely related individuals, which allowed us to reconstruct family trees spanning three generations for Oberbipp, Aesch and Singen (Fig.…”
Section: Resultsmentioning
confidence: 99%
“…We used READ software 80 as well as a custom method 81 to determine genetic kinship between individual pairs.…”
Section: Methodsmentioning
confidence: 99%
“…Concretely, we used mtDNA and Y‐chromosome lineages comparison to identify direct maternal and paternal relationships, respectively. We also applied the READ software (Monroy Kuhn, Jakobsson, & Günther, ) to genome‐wide data from Fregel et al () to infer up to second‐degree relationships, including nephew/niece‐uncle/aunt, grandparent–grandchild or half‐siblings. The main limitation for kinship inference using READ is that very low‐coverage samples (less than 0.1 X ) are prone to producing false negatives.…”
Section: Methodsmentioning
confidence: 99%