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<i>HAGHL</i> genetic variants increase first fracture risk (FFR) in female childhood cancer survivors: A report from the Childhood Cancer Survivor Study (CCSS) and St. Jude Lifetime Cohort Study (SJLIFE).

2020· article· en· W3029031938 on OpenAlexaff
Cindy Im, Nan Li, Wonjong Moon, Lindsay M. Morton, Wendy M. Leisenring, Rebecca M. Howell, Kevin C. Oeffinger, Charles A. Sklar, Carmen L. Wilson, Yadav Sapkota, Kirsten K. Ness, Melissa M. Hudson, Leslie L. Robison, Smita Bhatia, Gregory T. Armstrong, Yutaka Yasui

Bibliographic record

VenueJournal of Clinical Oncology · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGlutathione Transferases and Polymorphisms
Canadian institutionsUniversity of Alberta
FundersNational Institutes of Health
KeywordsMedicineGenome-wide association studySingle-nucleotide polymorphismSNPProportional hazards modelMinor allele frequencyCohortGenetic associationInternal medicineOncologyCancerGeneticsGenotypeBiologyGene

Abstract

fetched live from OpenAlex

10554 Background: Recent genome-wide association studies (GWAS) have reported substantial sex differences in the genetic architectures of bone-related phenotypes. We investigated sex-specific genetic determinants of FFR in survivors of childhood cancer. Methods: We performed sex-combined and sex-stratified GWAS for FFR using Cox regression models fitted on follow-up age in 2,453 long-term (≥5 years) survivors in CCSS with ~5.4 million imputed SNPs (minor allele frequency, MAF≥5%), with self-reported FFR defined by first fracture at any site after diagnosis. Replication analyses were conducted in an independent sample of 1,417 SJLIFE survivors with whole-genome sequencing and clinician-assessed FFR. All models were adjusted for relevant genetic (e.g., ancestry) and clinical (e.g., height, weight, treatment) factors. Results: Sex-combined and male-specific analyses yielded no associations with P &lt; 10 −7. Among female CCSS survivors (N = 1,289, 33% ≥1 fractures), we discovered 7 genome-wide significant (P &lt; 5x10 −8 ) SNP-FFR associations with strong evidence of sex effect heterogeneity (P &lt; 7x10 −6 ) across 2 independent loci with no known associations with bone phenotypes. We replicated these associations in SJLIFE (P≤0.05) for 3 coding SNPs in the HAGHL gene (16p13.3), among which rs1406815 showed the strongest association (MAF = 20%, meta-analysis HR = 1.43, P = 8.2x10 −9 ; N = 1,935 women, 35% ≥1 fractures). We observed increased HAGHL SNP effects on FFR that corresponded with increasing head/neck (HN) radiation therapy (RT) dose (Table). Public omics data show replicated SNPs are associated with differential HAGHL expression in sex gland and musculoskeletal tissues (GTEx) and in osteoblasts treated with dexamethasone or prostaglandins (GRASP), suggesting sex-/therapy-specific biological pathways involving HAGHL SNPs for fracture are plausible. Conclusions: Novel associations between HAGHL genetic variants and FFR potentially reveal new sex- and therapy-specific biological mechanisms underlying bone-related health conditions in survivors of childhood cancer. [Table: see text]

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.025
GPT teacher head0.345
Teacher spread0.320 · 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.

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
Published2020
Admission routes1
Has abstractyes

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