[go: up one dir, main page]

PL444001A1 - Computer-implemented method and related computer program products for determining biological age and predicting health status of an individual using information about epigenetic modifications - Google Patents

Computer-implemented method and related computer program products for determining biological age and predicting health status of an individual using information about epigenetic modifications

Info

Publication number
PL444001A1
PL444001A1 PL444001A PL44400123A PL444001A1 PL 444001 A1 PL444001 A1 PL 444001A1 PL 444001 A PL444001 A PL 444001A PL 44400123 A PL44400123 A PL 44400123A PL 444001 A1 PL444001 A1 PL 444001A1
Authority
PL
Poland
Prior art keywords
age
computer
implemented method
biological age
cpg
Prior art date
Application number
PL444001A
Other languages
Polish (pl)
Inventor
Tomasz WOJDACZ
Jan Bińkowski
Olga Taryma-Leśniak
Original Assignee
Pomorski Uniwersytet Medyczny W Szczecinie
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Pomorski Uniwersytet Medyczny W Szczecinie filed Critical Pomorski Uniwersytet Medyczny W Szczecinie
Priority to PL444001A priority Critical patent/PL444001A1/en
Priority to EP24712954.7A priority patent/EP4677603A1/en
Priority to PCT/IB2024/052219 priority patent/WO2024184854A1/en
Publication of PL444001A1 publication Critical patent/PL444001A1/en

Links

Classifications

    • CCHEMISTRY; METALLURGY
    • C12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12QMEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
    • C12Q1/00Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
    • C12Q1/68Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
    • C12Q1/6876Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes
    • C12Q1/6881Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for tissue or cell typing, e.g. human leukocyte antigen [HLA] probes
    • CCHEMISTRY; METALLURGY
    • C12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12QMEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
    • C12Q2600/00Oligonucleotides characterized by their use
    • C12Q2600/154Methylation markers

Landscapes

  • Life Sciences & Earth Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Proteomics, Peptides & Aminoacids (AREA)
  • Health & Medical Sciences (AREA)
  • Organic Chemistry (AREA)
  • Zoology (AREA)
  • Analytical Chemistry (AREA)
  • Wood Science & Technology (AREA)
  • Immunology (AREA)
  • Engineering & Computer Science (AREA)
  • Biotechnology (AREA)
  • Microbiology (AREA)
  • Molecular Biology (AREA)
  • Biophysics (AREA)
  • Physics & Mathematics (AREA)
  • Cell Biology (AREA)
  • Biochemistry (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
  • Genetics & Genomics (AREA)
  • Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)

Abstract

Zgłoszenie dotyczy sposobu realizowanego komputerowo do określania wieku biologicznego osobnika, obejmującego: a) dostarczanie mapy metylacji powiązanej z wiekiem; b) dostarczanie modelu regresji wieku biologicznego na podstawie zidentyfikowanych wielu cech opartych na sąsiadujących ze sobą parach CpG, wskazujących na wiek metrykalny; c) generowanie profilu metylacji powiązanego z wiekiem opartego na parach CpG, dla komórki lub tkanki od osobnika zawartej w badanej próbce, przy czym wspomniany profil metylacji oparty na parach CpG zawiera koordynaty genomowe dla sąsiadujących ze sobą miejsc CpG w każdej parze skorelowane z wiekiem metrykalnym i przy czym pojedyncza wartość liczbowa stanowi skompresowaną informację o poziomie metylacji związaną ze wspomnianą parą skorelowaną z wiekiem metrykalnym; d) określanie wieku biologicznego osobnika przez analizowanie wspomnianego profilu metylacji opartego na parach CpG dla wspomnianej badanej próbki z zastosowaniem modelu regresji wieku biologicznego. Niniejszym ujawniono również sposób realizowany komputerowo do przewidywania stanu zdrowia osobnika oraz materialny odczytywalny komputerowo nośnik zawierający odczytywalny komputerowo kod.The application relates to a computer-implemented method for determining the biological age of a subject, comprising: a) providing an age-related methylation map; b) providing a biological age regression model based on an identified plurality of features based on contiguous CpG pairs indicative of chronological age; c) generating an age-related methylation profile based on CpG pairs for a cell or tissue from the subject contained in a test sample, said CpG pair-based methylation profile comprising genomic coordinates for contiguous CpG sites in each pair correlated with chronological age, and wherein the single numerical value is compressed methylation level information associated with said pair correlated with chronological age; d) determining the biological age of the subject by analyzing said CpG pair-based methylation profile for said test sample using a biological age regression model. Also disclosed herein is a computer-implemented method for predicting the health of a subject, and a tangible computer-readable medium comprising computer-readable code.

PL444001A 2023-03-07 2023-03-07 Computer-implemented method and related computer program products for determining biological age and predicting health status of an individual using information about epigenetic modifications PL444001A1 (en)

Priority Applications (3)

Application Number Priority Date Filing Date Title
PL444001A PL444001A1 (en) 2023-03-07 2023-03-07 Computer-implemented method and related computer program products for determining biological age and predicting health status of an individual using information about epigenetic modifications
EP24712954.7A EP4677603A1 (en) 2023-03-07 2024-03-07 Methods, systems and assosiated computer program products for discriminating type of biological sample of an organism using epigenetic modification information
PCT/IB2024/052219 WO2024184854A1 (en) 2023-03-07 2024-03-07 Methods, systems and assosiated computer program products for discriminating type of biological sample of an organism using epigenetic modification information

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PL444001A PL444001A1 (en) 2023-03-07 2023-03-07 Computer-implemented method and related computer program products for determining biological age and predicting health status of an individual using information about epigenetic modifications

Publications (1)

Publication Number Publication Date
PL444001A1 true PL444001A1 (en) 2024-09-09

Family

ID=92676890

Family Applications (1)

Application Number Title Priority Date Filing Date
PL444001A PL444001A1 (en) 2023-03-07 2023-03-07 Computer-implemented method and related computer program products for determining biological age and predicting health status of an individual using information about epigenetic modifications

Country Status (1)

Country Link
PL (1) PL444001A1 (en)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016115530A1 (en) * 2015-01-18 2016-07-21 The Regents Of The University Of California Method and system for determining cancer status
CN113528648A (en) * 2021-07-22 2021-10-22 深圳市精笃健康科技有限公司 Method for judging aging degree based on gene mutation and DNA methylation characteristics
KR20220008133A (en) * 2020-07-13 2022-01-20 대한민국(관리부서: 행정안전부 국립과학수사연구원장) Method for bone age predeiction and marker thereof
CN114400050A (en) * 2022-03-14 2022-04-26 中南大学 DMR set identification result evaluation method, evaluation system and selection method

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016115530A1 (en) * 2015-01-18 2016-07-21 The Regents Of The University Of California Method and system for determining cancer status
KR20220008133A (en) * 2020-07-13 2022-01-20 대한민국(관리부서: 행정안전부 국립과학수사연구원장) Method for bone age predeiction and marker thereof
CN113528648A (en) * 2021-07-22 2021-10-22 深圳市精笃健康科技有限公司 Method for judging aging degree based on gene mutation and DNA methylation characteristics
CN114400050A (en) * 2022-03-14 2022-04-26 中南大学 DMR set identification result evaluation method, evaluation system and selection method

Similar Documents

Publication Publication Date Title
Haukka et al. Mental stress and psychosocial factors at work in relation to multiple-site musculoskeletal pain: a longitudinal study of kitchen workers
Woody et al. A systematic review and meta-regression of the prevalence and incidence of perinatal depression
Wang et al. A hybrid Data Quality Indicator and statistical method for improving uncertainty analysis in LCA of complex system–application to the whole-building embodied energy analysis
Muñiz et al. Evaluating alternative DEA models used to control for non-discretionary inputs
Estrada et al. Studying developmental processes in accelerated cohort-sequential designs with discrete-and continuous-time latent change score models.
Rabosky Primary controls on species richness in higher taxa
Häsler et al. An economic model to evaluate the mitigation programme for bovine viral diarrhoea in Switzerland
Symanski et al. Comprehensive evaluation of long-term trends in occupational exposure: Part 2. Predictive models for declining exposures.
Rufino et al. Further evidence that suicide risk is categorical: A taxometric analysis of data from an inpatient sample.
PL444001A1 (en) Computer-implemented method and related computer program products for determining biological age and predicting health status of an individual using information about epigenetic modifications
Kenworthy et al. Feasibility of using the “modified NUTrition Risk In the Critically ill” nutritional risk screening tool to identify nutritionally at-risk patients in an Australian intensive care unit
CN109264023A (en) Initial fatigue quality appraisal procedure based on analysis of uncertainty
Curtsinger Late-life fecundity plateaus in Drosophila melanogaster can be explained by variation in reproductive life spans
Gabryelewicz et al. Online measurement of work safety culture–statement of research
Tsouprou et al. Measures of discrimination and predictive accuracy for interval censored survival data
Sousa et al. A holistic methodology for probabilistic safety assessment of timber elements combining onsite and laboratory data
Dooren et al. The analysis of reaction norms for age and size at maturity using maturation rate models
Jaffré et al. Population viability analysis of plant and animal populations with stochastic integral projection models
Schillaci et al. Estimating the probability that the sample mean is within a desired fraction of the standard deviation of the true mean
Amorim et al. Monte Carlo based test for inferring about the unidimensionality of a Brazilian coffee sensory panel
KR102854629B1 (en) Method for estimating growth age of children and adolescents based on predicted final height thereof
RU2675141C1 (en) System of assessing readiness of expert for conducting construction expertise
Zhang et al. Evaluation of project quality: a DEA-based approach
PL443998A1 (en) Methods, systems and related computer program products for distinguishing the type of biological sample from an organism using epigenetic modification information
Farrell et al. Measurements of damage and repair in aging mice and humans reveals that robustness and resilience decrease with age, operate over broad timescales, and are affected differently by interventions