correctKin an optimized method to infer relatedness up to the 4th degree from low-coverage ancient human genomes /
Kinship analysis from very low-coverage ancient sequences has been possible up to the second degree with large uncertainties. We propose a new, accurate, and fast method, correctKin, to estimate the kinship coefficient and the confidence interval using low-coverage ancient data. We perform simulatio...
Elmentve itt :
| Szerzők: | |
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| Dokumentumtípus: | Cikk |
| Megjelent: |
2023
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| Sorozat: | GENOME BIOLOGY
24 No. 1 |
| Tárgyszavak: | |
| doi: | 10.1186/s13059-023-02882-4 |
| mtmt: | 33677647 |
| Online Access: | http://publicatio.bibl.u-szeged.hu/26675 |
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| 040 | |a SZTE Publicatio Repozitórium |b hun | ||
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| 100 | 1 | |a Nyerki Emil | |
| 245 | 1 | 0 | |a correctKin |h [elektronikus dokumentum] : |b an optimized method to infer relatedness up to the 4th degree from low-coverage ancient human genomes / |c Nyerki Emil |
| 260 | |c 2023 | ||
| 300 | |a 21 | ||
| 490 | 0 | |a GENOME BIOLOGY |v 24 No. 1 | |
| 520 | 3 | |a Kinship analysis from very low-coverage ancient sequences has been possible up to the second degree with large uncertainties. We propose a new, accurate, and fast method, correctKin, to estimate the kinship coefficient and the confidence interval using low-coverage ancient data. We perform simulations and also validate correctKin on experimental modern and ancient data with widely different genome coverages (0.12×–11.9×) using samples with known family relations and known/unknown population structure. Based on our results, correctKin allows for the reliable identification of relatedness up to the 4th degree from variable/low-coverage ancient or badly degraded forensic whole genome sequencing data. | |
| 650 | 4 | |a Biológiai tudományok | |
| 700 | 0 | 1 | |a Kalmár Tibor |e aut |
| 700 | 0 | 1 | |a Schütz Oszkár |e aut |
| 700 | 0 | 2 | |a Rui M. Lima |e aut |
| 700 | 0 | 2 | |a Neparáczki Endre |e aut |
| 700 | 0 | 2 | |a Török Tibor |e aut |
| 700 | 0 | 2 | |a Maróti Zoltán |e aut |
| 856 | 4 | 0 | |u http://publicatio.bibl.u-szeged.hu/26675/1/Nyerkietal2023manuscrpit.pdf |z Dokumentum-elérés |