ArticleNAR genomics and bioinformatics2020
aYChr-DB: a database of ancient human Y haplogroups.
Article in NAR genomics and bioinformatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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Who cites it
5 citing papers in PubMed.
- Big Epidemiology: The Birth, Life, Death, and Resurgence of Diseases on a Global Timescale.Epidemiologia (Basel, Switzerland) · 2024Review
- The Allen Ancient DNA Resource (AADR) a curated compendium of ancient human genomes.Scientific data · 2024Article
- Temporal population structure, a genetic dating method for ancient Eurasian genomes from the past 10,000 years.Cell reports methods · 2022Article
- Review
- Using Y-chromosome capture enrichment to resolve haplogroup H2 shows new evidence for a two-path Neolithic expansion to Western Europe.Scientific reports · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Ancient Y-Chromosomal DNA is an invaluable tool for dating and discerning the origins of migration routes and demographic processes that occurred thousands of years ago. Driven by the adoption of high-throughput sequencing and capture enrichment methods in paleogenomics, the number of published ancient genomes has nearly quadrupled within the last three years (2018-2020). Whereas ancient mtDNA haplogroup repositories are available, no similar resource exists for ancient Y-Chromosomal haplogroups. Here, we present aYChr-DB-a comprehensive collection of 1797 ancient Eurasian human Y-Chromosome haplogroups ranging from 44 930 BC to 1945 AD. We include descriptors of age, location, genomic coverage and associated archaeological cultures. We also produced a visualization of ancient Y haplogroup distribution over time. The aYChr-DB database is a valuable resource for population genomic and paleogenomic studies.
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Registered trials
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