Evidence map›Paper›PMID 30462358›Full record

ArticleMolecular ecology2019

Allele frequency-free inference of close familial relationships from genotypes or low-depth sequencing data.

Ryan K Waples, Anders Albrechtsen, Ida Moltke

Abstract read
In one paragraph

Article in Molecular ecology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 1 pooled it
–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

58 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  15. 1206 genomes reveal origin and movement ofScience (New York, N.Y.) · 2025
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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

3 authors.

Ryan K WaplesSection for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen N, Denmark.ORCID 0000-0003-0526-6425
Anders AlbrechtsenSection for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen N, Denmark.ORCID 0000-0001-7306-031X
Ida MoltkeSection for Computational and RNA Biology, Department of Biology, University of Copenhagen, Copenhagen N, Denmark.ORCID 0000-0001-7052-8554

Funding

Independent Research Fund Denmark DFF - 4090-00244Lundbeckfonden R215-2015-4174
6 · The paper itself

Abstract

Knowledge of how individuals are related is important in many areas of research, and numerous methods for inferring pairwise relatedness from genetic data have been developed. However, the majority of these methods were not developed for situations where data are limited. Specifically, most methods rely on the availability of population allele frequencies, the relative genomic position of variants and accurate genotype data. But in studies of non-model organisms or ancient samples, such data are not always available. Motivated by this, we present a new method for pairwise relatedness inference, which requires neither allele frequency information nor information on genomic position. Furthermore, it can be applied not only to accurate genotype data but also to low-depth sequencing data from which genotypes cannot be accurately called. We evaluate it using data from a range of human populations and show that it can be used to infer close familial relationships with a similar accuracy as a widely used method that relies on population allele frequencies. Additionally, we show that our method is robust to SNP ascertainment and applicable to low-depth sequencing data generated using different strategies, including resequencing and RADseq, which is important for application to a diverse range of populations and species.

Indexed as

GenomicsAlgorithmsGene FrequencyGenome, HumanGenotypeHigh-Throughput Nucleotide SequencingHumansModels, GeneticPedigreePolymorphism, Single NucleotideSoftwareascertainment biasIBDidentity by descentlow-depthNGSnon-modelrelatedness

Identifiers

PMID30462358
PMCPMC6850436

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.