ArticleHuman genetics2008
Evidence for significant heritability of apoptotic and cell cycle responses to ionising radiation.
Article in Human genetics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed, 46 citations in OpenAlex.
- Current status and future directions of multimodal deep learning normal tissue complication probability modelling in head and neck cancer radiotherapy.Frontiers in oncology · 2026Review
- Identification of Novel Regulators of Radiosensitivity Using High-Throughput Genetic Screening.International journal of molecular sciences · 2022Review
- A two-stage genome-wide association study of radiation-induced acute toxicity in head and neck cancer.Journal of translational medicine · 2021Article
- Gene alterations as predictors of radiation-induced toxicity in head and neck squamous cell carcinoma.Journal of translational medicine · 2021Article
- Prediction of the Acute or Late Radiation Toxicity Effects in Radiotherapy Patients Using Ex Vivo Induced Biodosimetric Markers: A Review.Journal of personalized medicine · 2020Review
- The Implications of Genetic Testing on Radiation Therapy Decisions: A Guide for Radiation Oncologists.International journal of radiation oncology, biology, physics · 2019Review
- Combining CDKN1A gene expression and genome-wide SNPs in a twin cohort to gain insight into the heritability of individual radiosensitivity.Functional & integrative genomics · 2019Article
- Radiation biology and oncology in the genomic era.The British journal of radiology · 2018Review
- Role of Germline Genetics in Identifying Survivors at Risk for Adverse Effects of Cancer Treatment.American Society of Clinical Oncology educational book. American Society of Clinical Oncology. Annual Meeting · 2018Review
- Radiogenomic Predictors of Adverse Effects following Charged Particle Therapy.International journal of particle therapy · 2018Article
- Clinical and Functional Assays of Radiosensitivity and Radiation-Induced Second Cancer.Cancers · 2017Review
- Personalized Cancer Risk Assessments for Space Radiation Exposures.Frontiers in oncology · 2016Review
- Exploiting biological and physical determinants of radiotherapy toxicity to individualize treatment.The British journal of radiology · 2015Review
- Influential Factors and Synergies for Radiation-Gene Therapy on Cancer.Analytical cellular pathology (Amsterdam) · 2015Review
- Article
- Genetic and environmental influence on DNA strand break repair: a twin study.Environmental and molecular mutagenesis · 2013Article
- Deoxyribonucleic acid damage-associated biomarkers of ionising radiation: current status and future relevance for radiology and radiotherapy.The British journal of radiology · 2013Review
- Genetic determinants of neuronal vulnerability to apoptosis.Cellular and molecular life sciences : CMLS · 2013Review
- A replicated association between polymorphisms near TNFα and risk for adverse reactions to radiotherapy.British journal of cancer · 2012Article
- Genetics and genomics of radiotherapy toxicity: towards prediction.Genome medicine · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 1 institution in 2 countries.
Funding
Abstract
Genetic factors are likely to affect individual cancer risk, but few quantitative estimates of heritability are available. Public health radiation protection policies do not in general take this potentially important source of variation in risk into account. Two surrogate cellular assays that relate to cancer susceptibility have been developed to gain an insight into the role of genetics in determining individual variation in radiosensitivity. These flow cytometric assays for apoptosis induction and cell cycle delay following radiation are sufficiently sensitive to distinguish lymphocytes from a healthy donor population from those of a sample of obligate carriers of ATM mutations (P = 0.01 and P = 0.02, respectively). Analysis of 54 unselected twin pairs (38 dizygotic, 16 monozygotic) indicated much greater intrapair correlation in response in monozygotic than in dizygotic pairs. Structural equation modelling indicated that models including unique environmental factors only fitted the data less well than those incorporating two or more of additive genetic factors, common environmental factors and unique environmental factors. A model incorporating additive genetic factors and unique environmental factors yielded estimates of heritability for the two traits of 68% (95% CI 40-82%, cell cycle) and 59% (95% CI 22-79%, apoptosis). Thus, these data suggest that genetic factors contribute significantly to human variation in these two measures of radiosensitivity that relate to cancer susceptibility.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.