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Record W1863640138 · doi:10.1097/mpa.0000000000000529

FAM111B Mutation Is Associated With Inherited Exocrine Pancreatic Dysfunction

2015· article· en· W1863640138 on OpenAlexfundno aff
Aaron Seo, Tom Walsh, Ming K. Lee, Phoenix A. Ho, Evelyn Hsu, Robert Sidbury, Mary‐Claire King, Akiko Shimamura

Bibliographic record

VenuePancreas · 2015
Typearticle
Languageen
FieldMedicine
TopicPancreatitis Pathology and Treatment
Canadian institutionsnot available
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Institute of Diabetes and Digestive and Kidney DiseasesNational Institute of General Medical SciencesDNA Genotek
KeywordsProbandExocrine pancreatic insufficiencyBiologyGeneticsInternal medicineGenetic testingMutationEndocrinologyPancreasGeneMedicine

Abstract

fetched live from OpenAlex

OBJECTIVES: Few genetic causes of exocrine pancreatic dysfunction have been described to date. We identified a family with multiple affected members manifesting exocrine pancreatic dysfunction. Additional associated features included facial rash, sparse hair, hypohidrosis, and swelling of the extremities. The transmission pattern of these clinical features was consistent with an autosomal dominant mode of inheritance. The 2 proband siblings also had transient elevated liver transaminases with hepatic steatosis early in life. This study identifies the genetic cause of exocrine pancreatic dysfunction in this family. METHODS: Whole exome sequencing was performed to identify the genetic cause of exocrine pancreatic dysfunction. RESULTS: A heterozygous germline in-frame deletion in the gene FAM111B (c.1261_1263delAAG, p.Lys421del) cosegregated with the phenotype: the variant was present in all affected relatives genotyped and absent in all unaffected relatives genotyped. The variant is also absent from public control sequence databases. CONCLUSIONS: Our findings implicate FAM111B in autosomal dominantly inheritable exocrine pancreatic dysfunction.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.032
GPT teacher head0.268
Teacher spread0.236 · 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

Citations38
Published2015
Admission routes1
Has abstractyes

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