Evidence map›Paper›PMID 39952680›Full record

ArticleGenome research2025

Evolutionarily new genes in humans with disease phenotypes reveal functional enrichment patterns shaped by adaptive innovation and sexual selection.

Jian-Hai Chen, Patrick Landback, Deanna Arsala, Alexander Guzzetta, Shengqian Xia, Jared Atlas, Dylan Sosa, Yong E Zhang, Jingqiu Cheng, Bairong Shen and 1 more

Abstract read
In one paragraph

Article in Genome research, 2025. 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

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

6 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Jian-Hai ChenDepartment of Ecology and Evolution, The University of Chicago, Chicago, Illinois 60637, USA; jianhaichen@uchicago.edu mlong@uchicago.edu bairong.shen@scu.edu.cn.ORCID 0000-0003-0093-2003
Patrick LandbackDepartment of Ecology and Evolution, The University of Chicago, Chicago, Illinois 60637, USA.
Deanna ArsalaDepartment of Ecology and Evolution, The University of Chicago, Chicago, Illinois 60637, USA.
Alexander GuzzettaDepartment of Pathology, The University of Chicago, Chicago, Illinois 60637, USA.ORCID 0000-0002-8809-7438
Shengqian XiaDepartment of Ecology and Evolution, The University of Chicago, Chicago, Illinois 60637, USA.ORCID 0000-0002-9264-3649
Jared AtlasDepartment of Ecology and Evolution, The University of Chicago, Chicago, Illinois 60637, USA.
Dylan SosaDepartment of Ecology and Evolution, The University of Chicago, Chicago, Illinois 60637, USA.
Yong E ZhangKey Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China.
Jingqiu ChengInstitutes for Systems Genetics, West China University Hospital, Chengdu 610041, China.
Bairong ShenInstitutes for Systems Genetics, West China University Hospital, Chengdu 610041, China; jianhaichen@uchicago.edu mlong@uchicago.edu bairong.shen@scu.edu.cn.
Manyuan LongDepartment of Ecology and Evolution, The University of Chicago, Chicago, Illinois 60637, USA; jianhaichen@uchicago.edu mlong@uchicago.edu bairong.shen@scu.edu.cn.

Funding

Reference-quality Drosophila genome assemblies for evolutionary analysis of previously inaccessible genomic regionsR01GM116113 · NIGMS · UNIVERSITY OF ARIZONA · PI CLARK, ANDREW G, LONG, MANYUAN · 2016 to 2019
$2.3M
Assessing the generality of sexual conflict in new gene evolution in DrosophilaF32GM146423 · NIGMS · UNIVERSITY OF CHICAGO · PI ARSALA, DEANNA · 2022 to 2024
$213k
NIGMS NIH HHS F32 GM146423NIGMS NIH HHS R01 GM116113
6 · The paper itself

Abstract

New genes (or young genes) are genetic novelties pivotal in mammalian evolution. However, their phenotypic impacts and evolutionary patterns over time remain elusive in humans owing to the technical and ethical complexities of functional studies. Integrating gene age dating with Mendelian disease phenotyping, we reveal a gradual rise in disease gene proportion as gene age increases. Logistic regression modeling indicates that this increase in older genes may be related to their longer sequence lengths and higher burdens of deleterious de novo germline variants (DNVs). We also find a steady integration of new genes with biomedical phenotypes into the human genome over macroevolutionary timescales (∼0.07% per million years). Despite this stable pace, we observe distinct patterns in phenotypic enrichment, pleiotropy, and selective pressures across gene ages. Young genes show significant enrichment in diseases related to the male reproductive system, indicating strong sexual selection. Young genes also exhibit disease-related functions potentially linked to human phenotypic innovations, such as increased brain size, musculoskeletal phenotypes, and color vision. We further reveal a logistic growth pattern of pleiotropy over evolutionary time, indicating a diminishing marginal growth of new functions for older genes owing to intensifying selective constraints over time. We propose a "pleiotropy-barrier" model that delineates higher potential for phenotypic innovation in young genes compared to older genes, a process under natural selection. Our study demonstrates that evolutionarily new genes are critical in influencing human reproductive evolution and adaptive phenotypic innovations driven by sexual and natural selection, with low pleiotropy as a selective advantage.

Indexed as

Evolution, MolecularSexual SelectionFemaleGenetic PleiotropyGenome, HumanHumansMalePhenotypeSelection, Genetic

Identifiers

PMID39952680
PMCPMC11960464

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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.