MétaCan
Menu
Back to cohort
Record W2142059780 · doi:10.1186/1471-2350-13-46

Analysis of Xq27-28 linkage in the international consortium for prostate cancer genetics (ICPCG) families

2012· article· en· W2142059780 on OpenAlexaff
Joan E. Bailey‐Wilson, Erica J. Childs, Cheryl D. Cropp, Daniel J. Schaid, Jianfeng Xu, Nicola J. Camp, Lisa Cannon‐Albright, James M. Farnham, Asha George, Isaac J. Powell, John D. Carpten, Graham G. Giles, John L. Hopper, Gianluca Severi, Dallas R. English, William D. Foulkes, Lovise Mæhle, Pål Møller, Rosalind A. Eeles, Douglas Easton, Michelle Guy, Steve Edwards, Michael D. Badzioch, Alice S. Whittemore, Ingrid Oakley‐Girvan, Chih-Lin Hsieh, Latchezar Dimitrov, Janet L. Stanford, Danielle M. Karyadi, Kerry Deutsch, Laura McIntosh, Elaine A. Ostrander, Kathleen E. Wiley, Sarah D. Isaacs, Patrick C. Walsh, Stephen N. Thibodeau, Shannon K. McDonnell, Scott J. Hebbring, Ethan M. Lange, Kathleen A. Cooney, Teuvo L.J. Tammela, Johanna Schleutker, Christiane Maier, Sylvia Bochum, Josef Hoegel, Henrik Grönberg, Fredrik Wiklund, Monica Emanuelsson, Géraldine Cancel‐Tassin, Antoine Valéri, Olivier Cussenot, William B. Isaacs

Bibliographic record

VenueBMC Medical Genetics · 2012
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Diagnosis and Treatment
Canadian institutionsMcGill University
FundersNational Cancer InstituteNational Human Genome Research InstituteMedical Research CouncilU.S. Public Health ServiceNational Institutes of HealthUniversität UlmDeutsche KrebshilfeNational Health and Medical Research CouncilPirkanmaan SairaanhoitopiiriCancer Research UKUtah State UniversityTranslational Genomics Research InstituteUmeå UniversitetUniversity of UtahAssociation pour la Recherche sur le CancerNational Center for Research ResourcesTampereen YliopistoUtah Department of HealthHuntsman Cancer InstituteU.S. Department of DefenseCancer Council VictoriaCancerfonden
KeywordsGenetic linkageProstate cancerGeneticsPenetranceLinkage (software)BiologyGenetic heterogeneityCancerMicrosatelliteHuman geneticsAlleleMedicinePhenotypeGene

Abstract

fetched live from OpenAlex

BACKGROUND: Genetic variants are likely to contribute to a portion of prostate cancer risk. Full elucidation of the genetic etiology of prostate cancer is difficult because of incomplete penetrance and genetic and phenotypic heterogeneity. Current evidence suggests that genetic linkage to prostate cancer has been found on several chromosomes including the X; however, identification of causative genes has been elusive. METHODS: Parametric and non-parametric linkage analyses were performed using 26 microsatellite markers in each of 11 groups of multiple-case prostate cancer families from the International Consortium for Prostate Cancer Genetics (ICPCG). Meta-analyses of the resultant family-specific linkage statistics across the entire 1,323 families and in several predefined subsets were then performed. RESULTS: Meta-analyses of linkage statistics resulted in a maximum parametric heterogeneity lod score (HLOD) of 1.28, and an allele-sharing lod score (LOD) of 2.0 in favor of linkage to Xq27-q28 at 138 cM. In subset analyses, families with average age at onset less than 65 years exhibited a maximum HLOD of 1.8 (at 138 cM) versus a maximum regional HLOD of only 0.32 in families with average age at onset of 65 years or older. Surprisingly, the subset of families with only 2-3 affected men and some evidence of male-to-male transmission of prostate cancer gave the strongest evidence of linkage to the region (HLOD = 3.24, 134 cM). For this subset, the HLOD was slightly increased (HLOD = 3.47 at 134 cM) when families used in the original published report of linkage to Xq27-28 were excluded. CONCLUSIONS: Although there was not strong support for linkage to the Xq27-28 region in the complete set of families, the subset of families with earlier age at onset exhibited more evidence of linkage than families with later onset of disease. A subset of families with 2-3 affected individuals and with some evidence of male to male disease transmission showed stronger linkage signals. Our results suggest that the genetic basis for prostate cancer in our families is much more complex than a single susceptibility locus on the X chromosome, and that future explorations of the Xq27-28 region should focus on the subset of families identified here with the strongest evidence of linkage to this region.

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 score0.025
Threshold uncertainty score0.369

Codex and Gemma teacher scores by category

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

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 head0.045
GPT teacher head0.348
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

Citations6
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueBMC Medical GeneticsSame topicProstate Cancer Diagnosis and TreatmentFrench-language works237,207