Evidence mapPaperPMID 42149708Full record

ReviewJournal of molecular endocrinology2026

Massively parallel functional genomic assays in endocrinology: from promise to delivery.

Jingxiang Xu, Vahid Aslanzadeh, Grzegorz Kudla, Robert K Semple

Abstract readReview
In one paragraph

Review in Journal of molecular endocrinology, 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

4 authors.

Jingxiang XuInstitute for Neuroscience and Cardiovascular Research, University of Edinburgh, Edinburgh, UK.
Vahid AslanzadehInstitute for Neuroscience and Cardiovascular Research, University of Edinburgh, Edinburgh, UK.
Grzegorz KudlaInstitute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
Robert K SempleInstitute for Neuroscience and Cardiovascular Research, University of Edinburgh, Edinburgh, UK.ORCID 0000-0001-6539-3069

Funding

Diabetes UK 23/0006652
6 · The paper itself

Abstract

The late 20th century saw major advances in mapping genes and mutations in endocrine disorders, driven by biochemical studies that identified defects endocrinologically and by family-based studies that mapped them genetically. In the 21st century, however, the world of genetics has been transformed by the mapping of the human genome and the development of next-generation sequencing technologies that allow genomes to be sequenced at population scale. This has led us to be swamped by a surfeit of information about genetic variation, with the so-called genetic 'variants of unknown significance' (VUS) greatly outnumbering pathogenic mutations in genes of clinical relevance. A revolution in functional genomics has since gathered pace, driven by the need to evaluate the function of rare genetic variants at scale. Recent advances in saturation mutagenesis enable the synthesis of libraries of thousands of gene variants. When coupled to increasingly creative use of a growing repertoire of downstream assays, this permits assessment of disease-relevant function of thousands of variants simultaneously. Such assays, widely known as multiplexed assays of variant effect (MAVEs), have major potential in endocrinology when applied to hormone receptors and their downstream signalling pathways. They help determine functional significance or otherwise of VUS, enable patient stratification for rare disease treatments, and yield new insights into structure-function relationships for target genes. We review the current state of development of MAVEs and their application to date to endocrine genetic disease, with particular reference to hormone receptors.

Indexed as

EndocrinologyGenomicsHigh-Throughput Nucleotide SequencingAnimalsEndocrine System DiseasesGenetic VariationHumansMutationdeep mutational scanningendocrine geneticshormone receptorsMAVEreceptor signallingsaturation mutagenesis

Identifiers

PMID42149708
PMCPMC13250644

What Socratic holds

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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 Socratic graph.