Evidence map›Paper›PMID 36855115›Full record

ArticleGenome biology2023

correctKin: an optimized method to infer relatedness up to the 4th degree from low-coverage ancient human genomes.

Emil Nyerki, Tibor Kalmár, Oszkár Schütz, Rui M Lima, Endre Neparáczki, Tibor Török, Zoltán Maróti

Abstract read
In one paragraph

Article in Genome biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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  11. Genomic ancestry and social dynamics of the last hunter-gatherers of Atlantic France.Proceedings of the National Academy of Sciences of the United States of America · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Emil Nyerki *Department of Pediatrics, University of Szeged Albert Szent-Györgyi Medical Center Faculty of Medicine, Szeged, Hungary.
Tibor Kalmár *Department of Pediatrics, University of Szeged Albert Szent-Györgyi Medical Center Faculty of Medicine, Szeged, Hungary.
Oszkár SchützDepartment of Genetics, University of Szeged, Szeged, Hungary.
Rui M LimaInstitute of Plant Biology, Biological Research Centre, Szeged, Hungary.
Endre NeparáczkiDepartment of Archaeogenetics, Institute of Hungarian Research, Budapest, Hungary.
Tibor TörökDepartment of Archaeogenetics, Institute of Hungarian Research, Budapest, Hungary.
Zoltán MarótiDepartment of Pediatrics, University of Szeged Albert Szent-Györgyi Medical Center Faculty of Medicine, Szeged, Hungary. maroti.zoltan@med.u-szeged.hu.ORCID 0000-0002-0515-117X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Forensic MedicineGenome, HumanHumansWhole Genome SequencingAncient DNAForensicGenomicsKinshipLow coverage

Identifiers

PMID36855115
PMCPMC9972692

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.