Evidence map›Paper›PMID 35294015›Full record

ArticleGenetics2022

Properties of 2-locus genealogies and linkage disequilibrium in temporally structured samples.

Arjun Biddanda, Matthias Steinrücken, John Novembre

Abstract read
In one paragraph

Article in Genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

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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. Article
  4. Article
  5. Article
  6. Imputation of ancient human genomes.Nature communications · 2023
    Article
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.

Arjun BiddandaDepartment of Human Genetics, University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0003-1861-1523
Matthias SteinrückenDepartment of Human Genetics, University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0001-6331-7900
John NovembreDepartment of Human Genetics, University of Chicago, Chicago, IL 60637, USA.ORCID 0000-0001-5345-0214

Funding

PREDOCTORAL TRAINING IN GENETICS AND REGULATIONT32GM007197 · NIGMS · UNIVERSITY OF CHICAGO · PI ROTHMAN-DENES, LUCIA B. B · 1985 to 2020
$17.0M
Haplotype-based analysis methods for population genomicsR01HG007089 · NHGRI · UNIVERSITY OF CHICAGO · PI NOVEMBRE, JOHN · 2013 to 2017
$1.5M
NHGRI NIH HHS R01 HG007089NIGMS NIH HHS T32 GM007197NIH HHS T32 GM07197
6 · The paper itself

Abstract

Archeogenetics has been revolutionary, revealing insights into demographic history and recent positive selection. However, most studies to date have ignored the nonrandom association of genetic variants at different loci (i.e. linkage disequilibrium). This may be in part because basic properties of linkage disequilibrium in samples from different times are still not well understood. Here, we derive several results for summary statistics of haplotypic variation under a model with time-stratified sampling: (1) The correlation between the number of pairwise differences observed between time-staggered samples (πΔt) in models with and without strict population continuity; (2) The product of the linkage disequilibrium coefficient, D, between ancient and modern samples, which is a measure of haplotypic similarity between modern and ancient samples; and (3) The expected switch rate in the Li and Stephens haplotype copying model. The latter has implications for genotype imputation and phasing in ancient samples with modern reference panels. Overall, these results provide a characterization of how haplotype patterns are affected by sample age, recombination rates, and population sizes. We expect these results will help guide the interpretation and analysis of haplotype data from ancient and modern samples.

Indexed as

ArchaeologyGenetics, PopulationGenotypeHaplotypesHumansLinkage DisequilibriumPopulation Densityancient DNAlinkage disequilibriumpopulation genetics

Identifiers

PMID35294015
PMCPMC9245597

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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.