Evidence map›Paper›PMID 37065470›Full record

ArticleFrontiers in genetics2023

Predicting late-stage age-related macular degeneration by integrating marginally weak SNPs in GWA studies.

Xueping Zhou, Jipeng Zhang, Ying Ding, Heng Huang, Yanming Li, Wei Chen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Observational
  2. Article
  3. Review
  4. Review
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.

Xueping ZhouDepartment of Biostatistics, University of Pittsburgh, Pittsburgh, PA, United States.
Jipeng ZhangDepartment of Biostatistics, University of Pittsburgh, Pittsburgh, PA, United States.
Ying DingDepartment of Biostatistics, University of Pittsburgh, Pittsburgh, PA, United States.
Heng HuangDepartment of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, United States.
Yanming LiDepartment of Biostatistics and Data Science, University of Kansas Medical Center, Kansas, KS, United States.
Wei ChenDepartment of Pediatrics, University of Pittsburgh, Pittsburgh, PA, United States.

Funding

New statistical methods and software for modeling complex multivariate survival data with large-scale covariatesR01GM141076 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DING, YING · 2022 to 2025
$1.2M
SCH: New Advanced Machine Learning Framework for Mining Heterogeneous Ocular Data to AccelerateR01EB034116 · NIBIB · UNIV OF MARYLAND, COLLEGE PARK · PI Wei Chen, Heng Huang · 2022 to 2026
$1.2M
High-Throughput Computing for Genomics and Bioinformatics ResearchS10OD028483 · OD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LEE, ADRIAN V · 2021 to 2021
$574k
Deep-learning-based prediction of AMD and its progression with GWAS and fundus image dataR21EY030488 · NEI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CHEN, WEI, DING, YING · 2020 to 2021
$408k
NEI NIH HHS R21 EY030488NIBIB NIH HHS R01 EB034116NIGMS NIH HHS R01 GM141076NIH HHS S10 OD028483
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

age-related macular degenerationbiomarker discoveryfeature selectiongenome-wide association studylinkage disequilibriumpredictionweak signal

Identifiers

PMID37065470
PMCPMC10101437

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.