Evidence map›Paper›PMID 31488894›Full record

ArticleEuropean journal of human genetics : EJHG2020

The Dutch Y-chromosomal landscape.

Eveline Altena, Risha Smeding, Kristiaan J van der Gaag, Maarten H D Larmuseau, Ronny Decorte, Oscar Lao, Manfred Kayser, Thirsa Kraaijenbrink, Peter de Knijff

Erratum issuedAbstract read
In one paragraph

Article in European journal of human genetics : EJHG, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. The potential influence of human Y-chromosome haplogroup on COVID-19 prevalence and mortality.Annals of oncology : official journal of the European Society for Medical Oncology · 2020
    Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Eveline AltenaDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.ORCID http://orcid.org/0000-0001-8911-7771
Risha SmedingDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
Kristiaan J van der GaagDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.
Maarten H D LarmuseauForensic Biomedical Sciences, Department of Imaging & Pathology, KU Leuven, Leuven, Belgium.
Ronny DecorteForensic Biomedical Sciences, Department of Imaging & Pathology, KU Leuven, Leuven, Belgium.
Oscar LaoDepartment of Genetic Identification, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.ORCID http://orcid.org/0000-0002-8525-9649
Manfred KayserDepartment of Genetic Identification, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.ORCID http://orcid.org/0000-0002-4958-847X
Thirsa KraaijenbrinkDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands.ORCID http://orcid.org/0000-0002-1771-8401
Peter de KnijffDepartment of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands. Knijff@lumc.nl.

Funding

Nederlandse Organisatie voor Wetenschappelijk Onderzoek (Netherlands Organisation for Scientific Research) 050-060-710
6 · The paper itself

Abstract

Previous studies indicated existing, albeit limited, genetic-geographic population substructure in the Dutch population based on genome-wide data and a lack of this for mitochondrial SNP based data. Despite the aforementioned studies, Y-chromosomal SNP data from the Netherlands remain scarce and do not cover the territory of the Netherlands well enough to allow a reliable investigation of genetic-geographic population substructure. Here we provide the first substantial dataset of detailed spatial Y-chromosomal haplogroup information in 2085 males collected across the Netherlands and supplemented with previously published data from northern Belgium. We found Y-chromosomal evidence for genetic-geographic population substructure, and several Y-haplogroups demonstrating significant clinal frequency distributions in different directions. By means of prediction surface maps we could visualize (complex) distribution patterns of individual Y-haplogroups in detail. These results highlight the value of a micro-geographic approach and are of great use for forensic and epidemiological investigations and our understanding of the Dutch population history. Moreover, the previously noted absence of genetic-geographic population substructure in the Netherlands based on mitochondrial DNA in contrast to our Y-chromosome results, hints at different population histories for women and men in the Netherlands.

Indexed as

Polymorphism, Single NucleotideChromosomes, Human, YHaplotypesHumansMaleNetherlandsPopulation

Identifiers

PMID31488894
PMCPMC7029002

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Registered trials

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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.