Evidence map›Paper›PMID 42450693›Full record

ArticleAnimals : an open access journal from MDPI2026

Integrative MRI and Genomics Analyses Prioritize

Ding-Jun Jin, Shuo-Chen Jiang, Jin-Xiu Li, Yan-Hu Liu, Bo-Wen Zhou, Ya-Ping Zhang

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2026. 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

6 authors.

Ding-Jun JinState Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.ORCID 0009-0004-1295-6752
Shuo-Chen JiangBio-X Center for Interdisciplinary Innovation and State Key Laboratory for Conservation and Utilization of Bio-Resources, Yunnan University, Kunming 650091, China.
Jin-Xiu LiState Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.
Yan-Hu LiuState Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.
Bo-Wen ZhouState Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.ORCID 0009-0008-5955-8160
Ya-Ping ZhangState Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.ORCID 0000-0002-5401-1114

Funding

National Natural Science Foundation of China 32388102Spring City·Plan: the High-level Talent Promotion and Training Project of Kunming 2022SCP001STI2030-Major Projects 2021ZD0203900
6 · The paper itself

Abstract

Cerebellar ataxia is clinically and genetically heterogeneous, and candidate variant prioritization is particularly difficult when only a single affected animal is available. We combined structural MRI of one affected Border Collie and six controls with whole-genome sequencing of the affected dog and 31 comparison dogs. MRI revealed widened cerebellar folial spaces and reduced bilateral cerebellar gray matter volume, without global brain atrophy or spinal cord lesioning. Parallel heterozygous and recessive variant screens, together with identity-by-descent, runs-of-homozygosity, structural-variant, and repeat-expansion analyses, narrowed the candidates to six non-MODIFIER variants. Among these, a heterozygous

Indexed as

canine neurodegenerationcerebellar morphometryendophenotypevariant prioritizationwhole-genome sequencing

Identifiers

PMID42450693
PMCPMC13359611

What OpenQuestion holds

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LicenceCC BY
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.