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Record W4385690674 · doi:10.1126/sciadv.ade9797

<i>Apolipoprotein-</i> ε <i>4</i> is associated with higher fecundity in a natural fertility population

2023· article· en· W4385690674 on OpenAlexaff
Benjamin C. Trumble, Mia Charifson, Thomas S. Kraft, Angela R. García, Daniel K. Cummings, Paul L. Hooper, Amanda J. Lea, Daniel Eid Rodríguez, Stephanie V. Koebele, Kenneth H. Buetow, Bret Beheim, Riana Minocher, Maguin Gutierrez, Gregory S. Thomas, Margaret Gatz, Jonathan Stieglitz, Caleb E. Finch, Hillard Kaplan, Michael Gurven

Bibliographic record

VenueScience Advances · 2023
Typearticle
Languageen
FieldMedicine
TopicBirth, Development, and Health
Canadian institutionsCanadian Institute for Advanced Research
FundersNational Institute on AgingNational Institutes of HealthAgence Nationale de la RechercheNational Science Foundation
KeywordsFecundityFertilityDemographyBiologyApolipoprotein EAllelePopulationReproductionNatural fertilityGerontologyGeneticsEcologyDiseaseMedicineInternal medicineGeneFamily planning

Abstract

fetched live from OpenAlex

In many populations, the a polipoprotein- ε 4 ( APOE- ε 4 ) allele increases the risk for several chronic diseases of aging, including dementia and cardiovascular disease; despite these harmful effects at later ages, the APOE- ε 4 allele remains prevalent. We assess the impact of APOE- ε 4 on fertility and its proximate determinants (age at first reproduction, interbirth interval) among the Tsimane, a natural fertility population of forager-horticulturalists. Among 795 women aged 13 to 90 (20% APOE- ε 4 carriers), those with at least one APOE- ε 4 allele had 0.3 to 0.5 more children than (ε3/ε3) homozygotes, while those with two APOE- ε 4 alleles gave birth to 1.4 to 2.1 more children. APOE- ε 4 carriers achieve higher fertility by beginning reproduction 0.8 years earlier and having a 0.23-year shorter interbirth interval. Our findings add to a growing body of literature suggesting a need for studies of populations living in ancestrally relevant environments to assess how alleles that are deleterious in sedentary urban environments may have been maintained by selection throughout human evolutionary history.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.342

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.024
GPT teacher head0.327
Teacher spread0.303 · 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 teacher head, 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

Citations34
Published2023
Admission routes1
Has abstractyes

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