Evidence map›Paper›PMID 36736293›Full record

ArticleAmerican journal of human genetics2023

Challenges of accurately estimating sex-biased admixture from X chromosomal and autosomal ancestry proportions.

Aaron Pfennig, Joseph Lachance

Open access · bronzeAbstract read
In one paragraph

Article in American journal of human genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

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  6. Review
  7. Response to Pfenning and Lachance.American journal of human genetics · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Aaron PfennigSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Joseph LachanceSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA. Electronic address: joseph.lachance@biology.gatech.edu.
Georgia Institute of Technology · US

Funding

Evolution of genetic disease risks over time and spaceR35GM133727 · NIGMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI LACHANCE, JOSEPH L. · 2019 to 2023
$1.9M
NIGMS NIH HHS R35 GM133727
6 · The paper itself

Abstract

Sex-biased admixture can be inferred from ancestry-specific proportions of X chromosome and autosomes. In a paper published in the American Journal of Human Genetics, Micheletti et al.

Indexed as

Genetics, PopulationSexismAfricaChromosomesEuropeFemaleGene FlowHumansMaleadmixtureAmericasgenetic ancestrymathematical modelspopulation geneticssex biasslave trade

Identifiers

PMID36736293
PMCPMC9943719
OpenAlexW4318984604

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.