Evidence map›Paper›PMID 28341647›Full record

ArticleGenetics2017

Estimating Seven Coefficients of Pairwise Relatedness Using Population-Genomic Data.

Matthew S Ackerman, Parul Johri, Ken Spitze, Sen Xu, Thomas G Doak, Kimberly Young, Michael Lynch

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.3field-weighted citation impact, top 8% of its field
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

27 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
  2. The mutation landscape ofbioRxiv : the preprint server for biology · 2025
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  8. Construction of relatedness matrices in autopolyploid populations using low-depth high-throughput sequencing data.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024
    Article
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  14. Evolutionary Genomics of a Subdivided Species.Molecular biology and evolution · 2022
    Article
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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 at 2 institutions in 1 country.

Matthew S AckermanDepartment of Biology, Indiana University, Bloomington, Indiana 47405 matthew.s.ackerman@gmail.com.ORCID 0000-0002-4177-4681
Parul JohriDepartment of Biology, Indiana University, Bloomington, Indiana 47405.
Ken SpitzeDepartment of Biology, Indiana University, Bloomington, Indiana 47405.ORCID 0000-0003-4289-6637
Sen XuDepartment of Biology, University of Texas Arlington, Texas 76019.ORCID 0000-0002-1304-9968
Thomas G DoakDepartment of Biology, Indiana University, Bloomington, Indiana 47405.ORCID 0000-0001-5487-553X
Kimberly YoungDepartment of Biology, Indiana University, Bloomington, Indiana 47405.
Michael LynchDepartment of Biology, Indiana University, Bloomington, Indiana 47405.
Indiana University Bloomington · USThe University of Texas at Arlington · US

Funding

Causes and Population-genetic Consequences of Molecular VariationR35GM122566 · NIGMS · TRUSTEES OF INDIANA UNIVERSITY · PI Michael R LYNCH · 2017 to 2026
$7.7M
Population Genomics of Daphnia pulexR01GM101672 · NIGMS · TRUSTEES OF INDIANA UNIVERSITY · PI LYNCH, MICHAEL R · 2013 to 2016
$2.3M
NIGMS NIH HHS R01 GM101672NIGMS NIH HHS R35 GM122566
6 · The paper itself

Abstract

Population structure can be described by genotypic-correlation coefficients between groups of individuals, the most basic of which are the pairwise relatedness coefficients between any two individuals. There are nine pairwise relatedness coefficients in the most general model, and we show that these can be reduced to seven coefficients for biallelic loci. Although all nine coefficients can be estimated from pedigrees, six coefficients have been beyond empirical reach. We provide a numerical optimization procedure that estimates all seven reduced coefficients from population-genomic data. Simulations show that the procedure is nearly unbiased, even at 3× coverage, and errors in five of the seven coefficients are statistically uncorrelated. The remaining two coefficients have a negative correlation of errors, but their sum provides an unbiased assessment of the overall correlation of heterozygosity between two individuals. Application of these new methods to four populations of the freshwater crustacean

Indexed as

Genetics, PopulationGenotypeModels, GeneticAllelesAnimalsComputer SimulationDaphniaHeterozygoteInbreedingcoancestryidentity by descentpopulation genomicspopulation structurerelatedness

Identifiers

PMID28341647
PMCPMC5419463
OpenAlexW2601075690

What OpenQuestion holds

Textmetadata
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.