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Record W6990923463

Environment-specific maternal genetic effects in orofacial clefts

2017· other· en· W6990923463 on OpenAlexaboutno aff

Bibliographic record

VenueInstitutional Research Information System University of Ferrara (University of Ferrara) · 2017
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsGenome-wide association studyGenetic associationEtiologyGenetic predispositionAffect (linguistics)MultivitaminAssociation (psychology)
DOInot available

Abstract

fetched live from OpenAlex

Orofacial clefts (OFCs) affect approximately 1.7 of every 1000 live births worldwide, making them among the most common birth defects. For the approximately 600 babies born with OFCs each year in Canada, multidisciplinary surgical and nonsurgical care is needed until adulthood. In addition to psychological effects suffered by the affected children and their families, OFCs have been associated with increased risk of death from birth to age 55. OFCs clearly bring a substantial burden on affected individuals and their families and substantial costs to the health care system. Despite research efforts, the causes of OFCs are still largely unknown. Maternal environmental exposures in combination with maternal genetic effects can disrupt important processes involved in facial development. Hence, maternal genetic effects involved in OFC aetiology could act only or more strongly under specific environments.
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\nA GWAS data on over 2000 parent-offspring trios from the GENEVA (Gene-Environment Association Studies) Oral Clefts project found weak evidence for maternally mediated genetic effects but did not take the maternal environment into account. The overall goal of our study is to identify maternal genetic effects influencing OFC risk acting in specific environmental conditions. Our specific objectives and working hypotheses are:
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\n1.\tTo genotype 545 trios (child and parents) from two ongoing European studies (ITALCLEFT and EUROCRAN) and combine them to the publicly available GENEVA trios to perform a genome-wide association study (GWAS) of maternally mediated main genetic effects.
\n2.\tTo perform a GWAS of the interaction between maternally mediated genetic effects and key environmental factors, including maternal smoking and multivitamin exposure.
\n3.\tTo perform a GWAS of the interaction between maternal and child genetic effects, taking the environment into account.
\n
\nWe will use strict quality control procedures to combine existing and new genotype data. The ITALCLEFT and EUROCRAN samples have successfully been used to replicate OFC GWAS significant results. Maternal genetic effects and combined mother-child genetic effects will be tested using existing specialized association tests. Interactions will be assessed by stratification first. We will also extend and implement a recently proposed approach to detect joint effects among maternal variants, child variants, and maternal environmental exposures.
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\nOur research team brings together the extensive expertise in genetic epidemiology and biostatistics of the PI, Dr. Roy-Gagnon, to that of co-applicant Dr. Little, a world leader in Human Genome Epidemiology who has been studying the epidemiology of OFCs for over 15 years. Collaborators Drs. Rubini, Mossey and Steegers-Theunissen are also experts on OFCs and PIs of the European studies.
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\nOur project will be the first to investigate maternal gene-environment interactions at the genome-wide level. The environment is more easily modifiable compared to genetic factors. Our study could thus lead to important public health applications in terms of designing effective, targeted prenatal interventions in Canada and elsewhere.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.799
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.001
Science and technology studies0.0010.003
Scholarly communication0.0000.002
Open science0.0030.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.006

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 head0.051
GPT teacher head0.259
Teacher spread0.207 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2017
Admission routes1
Has abstractyes

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