Evidence map›Paper›PMID 34657631›Full record

ArticleGenome medicine2021

Combinatorial patterns of gene expression changes contribute to variable expressivity of the developmental delay-associated 16p12.1 deletion.

Matthew Jensen, Anastasia Tyryshkina, Lucilla Pizzo, Corrine Smolen, Maitreya Das, Emily Huber, Arjun Krishnan, Santhosh Girirajan

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 21% of its field
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

8 citing papers in PubMed, 12 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Matthew Jensen *Department of Biochemistry and Molecular Biology, Pennsylvania State University, PA, 16802, University Park, USA.
Anastasia Tyryshkina *Department of Biochemistry and Molecular Biology, Pennsylvania State University, PA, 16802, University Park, USA.
Lucilla PizzoDepartment of Biochemistry and Molecular Biology, Pennsylvania State University, PA, 16802, University Park, USA.
Corrine SmolenDepartment of Biochemistry and Molecular Biology, Pennsylvania State University, PA, 16802, University Park, USA.
Maitreya DasDepartment of Biochemistry and Molecular Biology, Pennsylvania State University, PA, 16802, University Park, USA.
Emily HuberDepartment of Biochemistry and Molecular Biology, Pennsylvania State University, PA, 16802, University Park, USA.
Arjun KrishnanDepartment of Computational Mathematics, Science and Engineering, Michigan State University, East Lansing, MI, 48824, USA.
Santhosh GirirajanDepartment of Biochemistry and Molecular Biology, Pennsylvania State University, PA, 16802, University Park, USA. sxg47@psu.edu.ORCID 0000-0003-0598-4945
Pennsylvania State University · USMichigan State University · US

Funding

Genomic basis of phenotypic variability of genomic disordersR01GM121907 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI GIRIRAJAN, SANTHOSH · 2017 to 2025
$5.2M
Computation, Bioinformatics, and Statistics (CBIOS) Training ProgramT32GM102057 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI CHIAROMONTE, FRANCESCA, GIRIRAJAN, SANTHOSH · 2013 to 2022
$2.7M
Resolving and understanding the genomic basis of heterogeneous complex traits and diseasesR35GM128765 · NIGMS · UNIVERSITY OF COLORADO DENVER · PI KRISHNAN, ARJUN · 2018 to 2022
$2.0M
Penn State Biomedical Big Data to Knowledge (B2D2K) Training ProgramT32LM012415 · NLM · PENNSYLVANIA STATE UNIVERSITY, THE · PI BROACH, JAMES R., HONAVAR, VASANT G. · 2016 to 2020
$1.2M
NIGMS NIH HHS R01 GM121907NIGMS NIH HHS R35 GM128765NIGMS NIH HHS T32 GM102057NLM NIH HHS T32 LM012415
6 · The paper itself

Abstract

backgroundRecent studies have suggested that individual variants do not sufficiently explain the variable expressivity of phenotypes observed in complex disorders. For example, the 16p12.1 deletion is associated with developmental delay and neuropsychiatric features in affected individuals, but is inherited in > 90% of cases from a mildly-affected parent. While children with the deletion are more likely to carry additional "second-hit" variants than their parents, the mechanisms for how these variants contribute to phenotypic variability are unknown.

methodsWe performed detailed clinical assessments, whole-genome sequencing, and RNA sequencing of lymphoblastoid cell lines for 32 individuals in five large families with multiple members carrying the 16p12.1 deletion. We identified contributions of the 16p12.1 deletion and "second-hit" variants towards a range of expression changes in deletion carriers and their family members, including differential expression, outlier expression, alternative splicing, allele-specific expression, and expression quantitative trait loci analyses.

resultsWe found that the deletion dysregulates multiple autism and brain development genes such as FOXP1, ANK3, and MEF2. Carrier children also showed an average of 5323 gene expression changes compared with one or both parents, which matched with 33/39 observed developmental phenotypes. We identified significant enrichments for 13/25 classes of "second-hit" variants in genes with expression changes, where 4/25 variant classes were only enriched when inherited from the noncarrier parent, including loss-of-function SNVs and large duplications. In 11 instances, including for ZEB2 and SYNJ1, gene expression was synergistically altered by both the deletion and inherited "second-hits" in carrier children. Finally, brain-specific interaction network analysis showed strong connectivity between genes carrying "second-hits" and genes with transcriptome alterations in deletion carriers.

conclusionsOur results suggest a potential mechanism for how "second-hit" variants modulate expressivity of complex disorders such as the 16p12.1 deletion through transcriptomic perturbation of gene networks important for early development. Our work further shows that family-based assessments of transcriptome data are highly relevant towards understanding the genetic mechanisms associated with complex disorders.

Indexed as

Biological Variation, PopulationChromosome DeletionGene ExpressionAnkyrinsAutistic DisorderBrainExome SequencingFamilyForkhead Transcription FactorsHumansPhenotypePhosphoinositide 5-PhosphatasesPhosphoric Monoester HydrolasesRepressor ProteinsTranscription FactorsWhole Genome SequencingANK3 protein, humanAnkyrinsForkhead Transcription FactorsFOXP1 protein, humanPhosphoinositide 5-PhosphatasesPhosphoric Monoester HydrolasesRepressor ProteinsTranscription FactorsZEB2 protein, humanZinc Finger E-box Binding Homeobox 2Complex disordersCopy-number variantDevelopmental disordersInherited variantsRNA sequencingWhole-genome sequencing

Identifiers

PMID34657631
PMCPMC8522054
OpenAlexW3206079712

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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.