Evidence map›Paper›PMID 41036480›Full record

ArticleAdvanced genetics (Hoboken, N.J.)2025

How Everything Is Connected to Everything Else - Population-Specific Connections between Adaptive Evolution, Disease Susceptibility, and Drug Responsiveness.

Ji Tang, Hao Zhu

Abstract read
In one paragraph

Article in Advanced genetics (Hoboken, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ji TangCenter for Genetic Epidemiology Department of Population and Public Health Sciences Keck School of Medicine University of Southern California Los Angeles CA 90033 USA.ORCID https://orcid.org/0000-0002-9824-9159
Hao ZhuBioinformatics Section School of Basic Medical Sciences Southern Medical University Guangzhou 510515 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The genome is like a kaleidoscope through which researchers have obtained varied findings, including favored mutations, disease susceptibility sites, and drug-responsive sites. Whether these findings have inherent connections is a question deserving investigation. Favored mutations enable humans to adapt to changing environments and lifestyles; however, the adaptation may come with some costs. This is because a favored mutation can change the frequency of varied neutral nucleotides across a large genomic region, and a favored mutation may become disfavored as environments and lifestyles change further. These are the best-known classes of connections whose causes and consequences have been understood. However, many favored mutations remain unidentified. Using a deep learning network (

Indexed as

adaptive evolutiondisease susceptibilitydrug responsivenessfavored mutationshuman populations

Identifiers

PMID41036480
PMCPMC12482930

What OpenQuestion holds

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LicenceCC BY
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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.