Evidence map›Paper›PMID 39729312›Full record

ArticleDatabase : the journal of biological databases and curation2024

GeniePool 2.0: advancing variant analysis through CHM13-T2T, AlphaMissense, gnomAD V4 integration, and variant co-occurrence queries.

Grisha Weintraub, Noam Hadar, Ehud Gudes, Shlomi Dolev, Ohad S Birk

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

5 authors.

Grisha WeintraubDepartment of Computer Science, Faculty of Natural Sciences, Ben Gurion University of the Negev, Beer Sheva 84105, Israel.ORCID 0000-0003-4823-4757
Noam HadarThe Morris Kahn Laboratory of Human Genetics at the National Institute of Biotechnology in the Negev and Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer Sheva 84105, Israel.ORCID 0000-0003-2483-2090
Ehud GudesDepartment of Computer Science, Faculty of Natural Sciences, Ben Gurion University of the Negev, Beer Sheva 84105, Israel.ORCID 0000-0002-4805-0651
Shlomi DolevDepartment of Computer Science, Faculty of Natural Sciences, Ben Gurion University of the Negev, Beer Sheva 84105, Israel.ORCID 0000-0001-5418-6670
Ohad S BirkThe Morris Kahn Laboratory of Human Genetics at the National Institute of Biotechnology in the Negev and Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer Sheva 84105, Israel.ORCID 0000-0003-1430-1296

Funding

AWS Cloud Credit for Research programIsraeli Council for Higher Education (CHE)Israel Science FoundationIsrael Science Foundation 2463/23Ministry of Science, Technology and SpaceThe Morris Kahn Foundation
6 · The paper itself

Abstract

Originally developed to meet the challenges of genomic data deluge, GeniePool emerged as a pioneering platform, enabling efficient storage, accessibility, and analysis of vast genomic datasets, enabled due to its data lake architecture. Building on this foundation, GeniePool 2.0 advances genomic analysis through the integration of cutting-edge variant databases, such as CHM13-T2T, AlphaMissense, and gnomAD V4, coupled with the capability for variant co-occurrence queries. This evolution offers an unprecedented level of granularity and scope in genomic analyses, from enhancing our understanding of variant pathogenicity and phenotypic associations to facilitating research collaborations. The introduction of CHM13-T2T provides a more accurate reference for human genetic variation, AlphaMissense enriches the platform with protein-level impact predictions of missense mutations, and gnomAD V4 offers a comprehensive view of human genetic diversity. Additionally, the innovative feature for variant co-occurrence analysis is pivotal for exploring the combined effects of genetic variations, advancing our comprehension of compound heterozygosity, epistasis, and polygenic risk factors in disease pathogenesis. GeniePool 2.0 is a comprehensive and scalable platform, which aims to enhance genomic data analysis and contribute to genomic research, potentially supporting new discoveries and clinical innovations. Database URL: https://GeniePool.link.

Indexed as

Databases, GeneticGenetic VariationGenomicsHumansSoftware

Identifiers

PMID39729312
PMCPMC11673193

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Registered trials

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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.