Evidence map›Paper›PMID 14504247›Full record

ArticleGenetics2003

New explicit expressions for relative frequencies of single-nucleotide polymorphisms with application to statistical inference on population growth.

A Polanski, M Kimmel

Abstract read
In one paragraph

Article in Genetics, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing 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

62 citing papers in PubMed.

  1. Article
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  10. Scaling the Discrete-time Wright Fisher model to biobank-scale datasets.bioRxiv : the preprint server for biology · 2023
    Article
  11. A class of identifiable phylogenetic birth-death models.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  12. Article
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  14. Article
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  17. Nonparametric coalescent inference of mutation spectrum history and demography.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  18. Article
  19. Article
  20. Article

2 more citing papers are in PubMed but not listed here.

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

2 authors.

A PolanskiDepartment of Statistics, Rice University, Houston, Texas 77005, USA.
M Kimmel

Funding

SEQUENCE AND HAPLOTYPES FOR ANALYSIS OF CANCER GENESR01CA075432 · NCI · BAYLOR COLLEGE OF MEDICINE · PI NELSON, DAVID LOREN · 1997 to 2005
$2.9M
FACTORS STABILIZING RNA STRUCTURESR01GM058545 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI DRAPER, DAVID E. · 1999 to 2014
$2.8M
NCI NIH HHS CA75432NIGMS NIH HHS GM58545
6 · The paper itself

Abstract

We present new methodology for calculating sampling distributions of single-nucleotide polymorphism (SNP) frequencies in populations with time-varying size. Our approach is based on deriving analytical expressions for frequencies of SNPs. Analytical expressions allow for computations that are faster and more accurate than Monte Carlo simulations. In contrast to other articles showing analytical formulas for frequencies of SNPs, we derive expressions that contain coefficients that do not explode when the genealogy size increases. We also provide analytical formulas to describe the way in which the ascertainment procedure modifies SNP distributions. Using our methods, we study the power to test the hypothesis of exponential population expansion vs. the hypothesis of evolution with constant population size. We also analyze some of the available SNP data and we compare our results of demographic parameters estimation to those obtained in previous studies in population genetics. The analyzed data seem consistent with the hypothesis of past population growth of modern humans. The analysis of the data also shows a very strong sensitivity of estimated demographic parameters to changes of the model of the ascertainment procedure.

Indexed as

Data Interpretation, StatisticalGene FrequencyPolymorphism, Single NucleotideGenetics, PopulationLikelihood FunctionsPopulation DensityPopulation Growth

Identifiers

PMID14504247
PMCPMC1462751

What OpenQuestion holds

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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.