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Record W2950786289 · doi:10.82308/41228

Prenatal maternal stress from a natural disaster and hippocampal volumes: Gene-by-environment interactions in young adolescents

2016· article· en· W2950786289 on OpenAlexaboutno aff
Sandra Yogendran

Bibliographic record

VenueeScholarship@McGill (McGill) · 2016
Typearticle
Languageen
FieldNeuroscience
TopicStress Responses and Cortisol
Canadian institutionsnot available
Fundersnot available
KeywordsHippocampal formationSingle-nucleotide polymorphismHippocampusrs4680PopulationBiologyMedicineGeneticsNeuroscienceGeneGenotypeEnvironmental health

Abstract

fetched live from OpenAlex

Gene-by-environment interactions influence brain development from conception to adulthood. In particular, prenatal brain development is a window of vulnerability to the interplay between environmental and genetic factors. Rodent and human research demonstrates that prenatal maternal stress (PNMS) alters hippocampal volumes. In Project Ice Storm, it has been demonstrated that increased levels of objective, but not subjective, PNMS are associated with increased right hippocampal volumes in early adolescent females. However, although PNMS affects hippocampal size on average, similar degrees of PNMS lead to different effects in different individuals. This differential susceptibility to the effects of PNMS may be due to genetic variants; however, the role of genes in moderating the effect of PNMS on the hippocampus remains unknown. Therefore, we investigated the role of genetic variants known as single nucleotide polymorphisms (SNPs). SNPs are differences in the DNA sequence that occur frequently across a population and confer phenotypic differences. Here we investigated six SNPs that are candidates to moderate the effects of PNMS on hippocampal volume: 5HT2A (rs6311), COMT (rs4680), CRHR1 (rs110402), GABRA6 (rs3219151), NR3C1 (rs41423247) and BDNF (rs6265). To investigate this, we assessed 53 subjects who were in utero during the January 1998 Quebec ice storm. The mothers had responded to questionnaires about their objective and subjective levels of stress from the ice storm in June 1998. When children were 11½ years old, T1-weighted structural magnetic resonance imaging (MRI) scans were obtained using a 3T scanner and analyzed to determine hippocampal volumes. We also collected and genotyped DNA from the children. Moderation analyses were conducted to determine whether any or all of the six SNPs moderate the effect of PNMS on hippocampal volumes. I found that objective PNMS was associated with right hippocampal volume and the BDNF and COMT genotypes were associated with left hippocampal volume. In addition, SNPs located on COMT, 5HT2A, CRHR1 and NR3C1 moderated the effect of PNMS on hippocampal volume. Thus, I conclude that an individual's genotype alters their susceptibility to the effects of PNMS.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.060
Threshold uncertainty score0.120

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.229
Teacher spread0.216 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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