Data and Sample Sharing Policy
1. Overview
The Mexico City Prospective Study (MCPS) (originally called ‘Proyecto Coyoacan’) is a blood-based prospective study of ~160,000 Mexican adults. Its main aims are to study the relevance of lifestyle, environmental, biochemical and genetic factors for major chronic diseases (e.g. stroke, heart disease, cancer, diabetes) in Mexican adults, to improve the prevention and treatment of these diseases.
Participants were recruited from 1998-2004. They were interviewed, had a range of physical measurements taken, gave 10 ml of blood (for long-term storage in Oxford of plasma and DNA-containing buffy coat), and gave permission for their subsequent health status to be tracked. Long-term follow-up for mortality is via electronic linkage to Mexico’s national death register. A resurvey of 10,000 surviving participants was carried out 2015-2019. This large research project is a longstanding collaboration between researchers from the National Autonomous University of Mexico (UNAM) in Mexico City, who conceived and established the study, and the Nuffield Department of Population Health in Oxford, who provided support during its inception and have continued to enhance it over the years.
Access to biological samples is limited by the small volume available. Consideration is given to collaborations that involve an extensive range of quality-controlled assays of all – or large numbers of – samples using high-throughput and cost-effective assay methods. The MCPS study group is actively seeking funding for assay strategies that will transform the available samples into accessible data for use by researchers in Mexico, UK and elsewhere.
At recruitment, as was consistent with standard practice at the time, the participants were not asked specifically for consent to data sharing with outside bodies. However, we understand that the consent was sufficient to permit the supply of pseudonymised data to bona-fide researchers of high scientific probity who have agreed to abide by the requirements described in this document and by any contractual arrangements with funders and external suppliers of the data relevant to the datasets.
Within the above constraints, the MCPS study group welcomes proposals for access to data from researchers in Mexico and around the world. This document describes the access policy and procedures. The process is summarised in this flow diagram:
Flow diagram of data request process
It has been developed in concordance with the general principles of data sharing promoted by various research organisations worldwide including the UK Research and Innovation’s Common Principles on Data Policy and the Data Access and Sharing Policy of the Nuffield Department of Population Health, University of Oxford.
data |
Any MCPS study dataset, including summary datasets, baseline survey data, re-survey data, follow-up information, blood assay results, genetic and metabolomic data. |
Data Sharing Agreement |
Agreement covering the terms of data access to a requestor of open access data. |
Collaboration Agreement
|
Agreement covering the terms of data access to a requestor working with a member of the MCPS study team in either Mexico or the UK. |
Access Agreement |
A collective term referring to either a data sharing agreement or a collaborative agreement. |
Open Access Data |
Data being made available to external bona fide researchers through this Data and Sample Sharing policy. |
Restricted Data |
Data stored in the MCPS data repository which has limitations placed on its use or wider distribution. |
Requestor |
An individual or group of researchers seeking access to data and/or samples from the MCPS. |
Data User |
An individual or group of researchers that has been granted access to data and/or samples from the MCPS. |
As the MCPS has information on many different exposures and health outcomes over a period of years, a wide range of investigators should be involved in determining which questions to address and how best to address them. As data custodian, the MCPS group must maintain the integrity of the database for future use and regulate data access. Data can be released outside the MCPS research group only with appropriate security safeguards and approvals. This policy on data access is based on the need to:
- Protect participants and act within the scope of their signed consent.
- Ensure compliance with all laws and regulations which apply to its use, storage and disposal of the data and/or samples.
- Ensure high quality research is fostered that will advance knowledge. Applications that include Mexican collaborators are particularly welcome since they would help to develop and strengthen the research capacity of local investigators.
- Ensure that the data security and participant confidentiality are maintained.
- Support local capacity building. There is a desire that the data from the MCPS are not only used to generate important research findings but also to help to build research capacity locally.
- Provide academic return and training for the investigators developing the study, in particular for doctoral students and early career researchers who are developing their scientific skills while working on the cohort.
3.1. Key components of this Data and Sample Sharing Policy:
Collaborations
The MCPS research group is actively seeking and responding to requests for scientific collaborations on specific projects, especially when framed in ways that help strengthen Mexican research capacity. This model of facilitated collaboration with external researchers is adopted where it can increase the value and quality of the data. Collaborations are governed by a separate Collaboration Agreement, which: (i) identifies a dedicated project lead from within the MCPS group in either Mexico and/or the UK; (ii) details arrangements for co-authorship or papers; (iii) covers intellectual property issues; and (iv) details financial commitments where appropriate.
Open Access Data Availability
Before data is approved for any analysis, relevant members of the MCPS team responsible for generating the data must first undertake required cleaning, processing, quality control and integration. As soon as the data are clean, they will be made immediately available for open access sharing with researchers applying from within a Mexican institution, as long as the proposed project does not overlap significantly with projects already being conducted by the Mexico or Oxford-based investigators (see Completed and Protected Projects). This period of exclusive access for Mexican researchers will be for 2 years, after which the datasets will be made available for open access sharing with any bona-fide researcher worldwide (see Data Available for Sharing).
Independent Oversight of Access
Initial decisions on data requests are taken by the MCPS team. The Nuffield Department of Population Health Data Access Oversight Committee provides further scrutiny and governance advice where necessary. A requestor can appeal to this committee if they disagree with a study decision on access.
Protecting the Identity of Participants
Safeguards are maintained to ensure the anonymity and confidentiality of participants’ data. Researchers will need to enter a legal agreement not to make any attempt to identify participants, and the data provided to researchers will not contain any personally identifiable variables (i.e. every data set provided will be “pseudonymised” with uniquely encrypted participant identifiers [PIDs]).
Data Security
All MCPS data is held on secure servers in a central data repository that is compliant with internationally recognised information governance standards. A data management team acts as gatekeepers and ensure that any shared data is delivered though a secure data delivery system and in an appropriate format.
Sample Preservation and Access
Only 10 ml of blood was taken at baseline and resurvey from each participant, which, in each instance, was divided into one buffy coat sample and two to three plasma samples that are stored in Oxford. At resurvey, a urine sample was collected from just under half the participants (from the latter part of the recruitment period). Given the very limited amount of these depletable resources, access to these samples needs to be carefully controlled. Consequently, rather than assay samples on a nested case-control basis (which is cost-effective for studying a particular condition but not for a resource that is to be used to study many different conditions by different researchers), assays of the samples from all participants is far preferable. Such a strategy maximises the information available to researchers while minimising sample depletion and facilitating different comparisons across the cohort since the assay methodology and quality control would be consistent. Suggestions for particular assays to be included are welcomed, and all assay values will become part of the available dataset. In general (as is the case in UK Biobank), it is not expected that requests for direct access to samples will be agreed to by the MCPS Access Committee.
Fees for data access
Open access data is available free of charge to applicants from low and middle income countries. Researchers in high-income countries will incur an access charge for each approved data request (currently £2500 GBP prior to data release). This contributes to the administrative costs incurred in managing and reviewing the application, and in preparing the individual datasets. Collaborating researchers may also be required to cover the costs of administering the data sharing (including legal fees if applicable), retrieving, processing and sending the data or samples. Estimated costs for a particular request will be provided during the development of the project proposal.
Potential collaborators and data requestors should first contact MCPS investigators or review this website (including previous MCPS publications) and MCPS Data Showcase to gain an understanding of the available study data and of projects that have previously been completed. The MCPS Data Showcase aims to present the data available from the study for health-related research in a comprehensive and concise way, and to provide additional information for researchers considering applying to use the resource.
4.1 Collaboration requests
Researchers who are interested in collaborating on projects with MCPS researchers in Mexico or the UK are encouraged to approach the MCPS group informally in the first instance by email or to contact relevant MCPS investigators to discuss research ideas and feasibility. Enquiries should include a project title and brief outline of the research project and the relevant data of interest. Each project will require a co-investigator from within the MCPS group who has a common interest in the project and relevant or complementary research expertise. Once identified, the collaborator and the co-investigator will co-develop a research proposal which will then be reviewed by the MCPS Access Committee.
4.2 Open Access Data requests
Registration/eligibility
All open access data requestors are first required to complete the MCPS Data Access Registration form (also available in Spanish). Requestors should be employees of a recognised academic institution, health service organisation or charitable research organisation with experience in medical research. They should be able to clearly demonstrate, through their peer reviewed publications in the area of interest, their ability to conduct independent research.
Submission of a data request
Once approved, data requestors will be sent an MCPS project description and data request form and will need to return the completed form to mcps-access@ndph.ox.ac.uk. This form requires the requestor to provide: a project title and abstract; scientific rationale/methodology; anticipated outputs and project timeline. Additional questions cover ethical issues, collaborators/research team, funding support and data security, and the data variables they would like to receive.
Review of a data request
Open access data requests will initially be assessed by the MCPS study investigators. Each application will be considered on its individual merit. If necessary, independent peer review will be sought. Approved projects will: (i) have clearly defined objectives; (ii) include a sound methodology that is likely to generate meaningful results; (iii) be based on an appropriate and available selection of data; (iv) have clearly defined timelines and outputs (e.g. 1-2 papers in peer-reviewed journals). Projects that overlap significantly with approved and/or completed projects may be rejected. These may be projects underway by MCPS researchers, collaborations or open access data requests.
The MCPS team aims to review and respond to data requests within two to four weeks. A requestor can appeal to the Nuffield Department of Population Health’s Independent Data Access Oversight Committee if their request is denied by the project team using this contact us form.
Once proposals are approved the following conditions and undertakings are required as conditions of access:
Data Sharing Agreement
Before any data are shared a signed sharing agreement must be in place between the requestor’s institution and the University of Oxford. This agreement will be sent to the requestor once their application is approved, and will include a copy of the approved project proposal as a schedule.
Signing Authority
Requestors should be acting as members of a recognised academic institution, research organisation or health organisation. Their request should come from a recognised email domain. Their organisation should have formal policies and procedures (i.e. IG Toolkit, ISO 27001 certification or System Level Security Policy assessment) to comply with any legal, ethical or data protection constraints and to ensure that the dataset is stored securely and used responsibly.
Ethics and Research Governance Approval
Where applicable Ethics Committee approval for the research is the responsibility of the requestor. The requestor, in conjunction with study investigators, may also need to obtain approval from the Research Ethics Committees responsible for the MCPS. Local Research Governance approval and R&D approvals, if required, are the responsibility of the requestor. Approvals will need to be in place before any data are shared.
Limitations on Use
The data will be used for the purposes of medical research only and within the constraints of the consent under which the data were originally gathered, and of any contractual agreements between the MCPS and its funders or external data sources. Access will be permitted only for research that is consistent with the originally-submitted project description, has been ethically and scientifically approved by appropriate independent reviewers and where the use of the data will be for the demonstrable benefit of health and/or social care. Data supplied may only be shared with requestors named at the time of the original application or in subsequent applications and specified in the Access Agreement or later amendments. Data from the collection cannot be shared with individuals outside the requestor’s research group without formal approval by the MCPS Principal Investigators.
Identifying Data
The data provided to researchers will not contain any personally identifiable variables. Data sets will be ‘pseudonymised’ with encrypted participant identifiers (PIDs). The Access Agreement will contain confidentiality undertakings to further safeguard participants' privacy. Recipients must agree not to link the pseudonymised data provided with any other data set without permission. Recipients must not attempt to identify any individual from the data provided. Should recipients believe that they have inadvertently identified any individual, they must not record this, share the identification with any other person or attempt to contact the individual.
Intellectual Property
All Intellectual Property (IP) rights in the data are and shall remain at all times the property of UNAM and the University of Oxford. All Arising IP shall vest in and be owned by the requestors. The requestors will cover any cost for the protection of Arising IP. The requestors shall promptly disclose any such Arising IP in writing to the Principal Investigators. UNAM and the University of Oxford will be granted rights to use all Arising IP for academic and research purposes, including research involving projects funded by third parties provided that those parties gain or claim no rights to such Arising IP.
Payment of Access Charges
Data requestors from institutions in high-income countries are expected to pay access charges to contribute to the administrative cost to the study of reviewing the application and preparing data for sharing, etc. Where these are applied, no data will be provided to the data requestor until or unless the access charges are received in full.
Data Release and Delivery
Once the proposal is approved and the Access Agreement signed, phenotypic data and its documentation will be generated in CSV (or any other pre-specified) format, encrypted and released in a secure manner. The genetic data will be shared by granting access to an online research analysis platform enabled by DNAnexus technology and powered by Amazon Web Services (AWS), where researchers will be able to access both the genetic and non-genetic data, perform their analyses and download their results.
Publicity and Dissemination
The MCPS team reserves the right to publish the title, the names(s) and affiliations(s) of the Chief Investigator(s), a lay summary and a scientific abstract of each piece of collaborative research for which access to the resource has been granted, before identification or publication of results. Requestors who do not wish details of their study to be openly available need to state this in their data request and give the reason. The requestor shall not use the name or any trademark or logo of UNAM or the University of Oxford in any press release or product advertising, or for any other commercial purpose, without prior written consent.
Authorship and Approvals
Access Agreements will specify expectations regarding authorship and acknowledgements on research outputs. Collaborations require at least one co-author from the MCPS study group. For Open Access Agreements no authorship from the MCPS team is required, but requestors are nevertheless asked to submit proposed publications to the MCPS team for review not less than 30 days in advance of the submission for publication.
Publications and Open Access
All publications of the results in a peer-reviewed journal, or as a scholarly monograph or book chapter, must be made available from PubMed Central and Europe PubMed Central as soon as possible and no later than six months from the date of final publication. Journal requirements for data release and deposition that may be requested following publication of an article must be discussed with and approved by the MCPS Principal Investigators prior to submission of a manuscript.
Integration of the Data
After completion of work using released MCPS data, the original dataset as well as any derived dataset and/or variables generated during the research must be returned to the MCPS central data repository for archiving and/or merging with the main database for future use. If considered appropriate, the MCPS staff may carry out independent checks and/or validation of the data and results to ensure the continued data integrity and reliability of the study findings.
Monitoring and Accountability
The data requestor is required to submit annual reports and any other information reasonably requested to evidence the work undertaken in connection with the proposed project. If there is substantial deviation or change in the planned use of the data, further approval will be needed. If there is substantial delay or difficulty in completing the planned research, the MCPS team will have the right, after consultation with the Nuffield Department of Population Health Data Access Oversight Committee, to terminate the work if in its view there is little chance that the problem will be rectified. Under such circumstances, all data that have been provided must be deleted and a deletion certificate provided.
For full details of available data please review the online MCPS Data Showcase. The Showcase displays all the data types currently available, in a grouped format (i.e. not at the individual participant level), along with further information about each data field (for example, background information about how measures were taken). Genetic variation can be viewed using the MCPS online Variant Browser.
Details of data available to researchers worldwide
Baseline data (1998 - 2004) available for 159,517 participants
Month and year of recruitment
Socio-demographic
- age
- sex
- area of residence
- marital status
- educational achievement
- occupation
- income
- health service provider
Lifestyle characteristics
- smoking
- passive smoking
- alcohol consumption
- physical activity
- sleep duration
- fruit/vegetable intake
- fried food intake
- type of cooking oil used
Prior diseases and medication
Reproductive history (women)
- menopausal status
- hysterectomy
- oophorecomy
- hormone replacement therapy
- contraceptive use
- age at first sexual relationship
- age at first pregnancy
- number of pregnancies
Physical measurements
- height
- weight
- waist circumference
- hip circumference
- systolic blood pressure
- diastolic blood pressure
Blood samples
- time of blood sampling
- time since last meal
- glycosylated haemoglobin
Resurvey data (2015 - 2019) available for 10,143 participants. Similar data to that collected at baseline plus
Additional questionnaire data
- diabetes control questions
- diabetes consequences (e.g eyes, amputations, dialysis)
- fractures/falls
- treatment for breast cancer
- additional dietary questions (e.g sugary drinks, added salt, meat, fish, desserts, diets)
- cognitive function (MMSE)
Additional measurements
|
Additional samples
|
Baseline NMR metabolomic data using the Nightingale Health platform First release: 40,297 participants |
14 Lipoprotein subclasses
|
Lipoprotein mean particle sizes and apolipoproteins
|
Cholines and glycolysis-related
|
7 Lipid measures for each subclass
|
Fatty acids
|
Amino acids
|
Ketone bodies, inflammation and kidney function
|
mortality data (up to 30 september 2022)
|
Apo A1=apolipoprotein A1; Apo B=apolipoprotein B; HDL=high density lipoproteins; HDL−D=high density lipoprotein particle diameter; IDL=intermediate density lipoproteins; L=large; LDL=low density lipoproteins; LDL−D=low density lipoprotein particle diameter; M=medium; S=small; VLDL=very low density lipoproteins; VLDL−D=very low density lipoprotein particle diameter; XL=very large; XS=very small; XXL=extremely large. |
additional data currently available only to researchers in mexico
NMR metabolomic data using the Nightingale Health platform
Second release: 152,833 participants at baseline and 9657 participants at resurvey
All metabolites as listed for the first release plus Phosphoglycerides, Pyruvate, Acetone and Clinical LDL-C.
Genomic Data
Described fully in Ziyatdinov et al. 2023
Genome–wide genotyping with the Illumina Global Screening Array (GSA) version 2
Non-filtered dataset (140,831 participants)
650,381 variants: 619,501 autosomal variants; 30,101 sex chromosome variants; 779 mitochondrial variants.
Quality controlled dataset (138,511 participants)
559,923 variants: 539,315 autosomal variants; 19,954 sex chromosome variants; 654 mitochondrial variants.
Whole Exome Sequencing (WES)
Non-filtered dataset (141,046 participants)
13,331,228 variants: 12,957,291 autosomal variants; 368,300 chromosome X variants; 5,637 chromosome Y variants
Whole Genome Sequencing (WGS)
Non-filtered dataset (9950 participants)
158,464,363 variants:151,639,445 autosomal variants; 6,342,270 chromosome X variants; 482,648 chromosome Y variants.
Phased WGS Imputation Reference Panel (MCPS10k) 9,948 whole genome sequenced phased samples
Total of 134,337,444 variants distributed across 22 autosomes and chromosome X
Data available in four file formats.
TopMed Imputed
Non-filtered dataset (140,831 participants)
307,624,124 variants: 292,293,083 autosomal variants; 15,331,041 chromosome X variants.
To date, the MCPS research teams in Oxford and UNAM have focused on studying the relevance to cause-specific mortality of major disease risk factors, including diabetes1-3, adiposity4-7, blood pressure8, smoking9 and low levels of education10, and have also published several cross-sectional analyses related to these11-14 and other cardiometabolic risk factors including lipids and other biomarkers15-16. In addition, current analyses (anticipated for publication in 2024/5) will report the relevance of alcohol consumption, physical activity and renal function to cause-specific mortality, as well as the combined relevance of these major disease risk factors to cardiovascular risk. If you are interested in studying any of these risk factors we recommend that you review these published papers (or contact us) to see what has already been, or soon will be, published from the study.
In addition, several areas of research are currently being explored by PhD students or researchers at Oxford and UNAM, and are therefore considered protected until the completion of the project. These include, but are not limited to, studying the genetics of diabetes, kidney function, adiposity, blood pressure, cognitive function and blood lipids, Mendelian randomisation studies of these phenotypes, and use of polygenic risk scores for predicting cardio-metabolic mortality. Applications for projects that overlap significantly with protected projects may require further discussion before approval. This may also be the case where an application overlaps significantly with an external project that has already been approved. External projects (open access and collaborations) that have been approved and have an access agreement in place are listed below (last updated 10 October 2024).
principal Investigator |
project title |
date of first contact |
mcps data request id |
country |
type of data sharing agreement |
Dr Christina Magnussen | Geographical distribution, global impact and related lifetime risk of classical cardiovascular risk factors on CVD onset | 18/01/2021 | 2021-001 | Germany | Collaboration |
Dr Omar Yaxmehen Bello-Chavolla | Data-driven socioeconomic clusters reveal inequalities in all-cause and cause specific mortality | 10/05/2021 | 2021-004 | Mexico | Open Access |
Dr Lorena Orozco | Leveraging the MCPS cohort: towards precision medicine and population genetics in Mexican/Latin American populations | 29/06/2022 | 2022-004 | Mexico | Collaboration |
Dr Yanink Caro-Vega | Female reproductive history and cancer-related deaths among participants in the Mexico City Prospective Study (MCPS) cohort | 10/08/2022 | 2022-007 | Mexico | Open Access |
Dr Omar Yaxmehen Bello-Chavolla | Smoking and cause-specific mortality in individuals with diabetes in Mexico: an analysis of the Mexico City Prospective Study | 18/05/2022 | 2022-012-01 | Mexico | Collaboration |
Dr Omar Yaxmehen Bello-Chavolla | Clinical and sociodemographic determinants of newly diagnosed diabetes in apparently-healthy adults living in Mexico City | 18/05/2022 | 2022-012-02 | Mexico | Collaboration |
Dr Omar Yaxmehen Bello-Chavolla | External validation of AnthropoAge as a biological age metric for all-cause and cause-specific mortality. | 18/05/2022 | 2022-012-03 | Mexico | Collaboration |
Dr Omar Yaxmehen Bello-Chavolla | Metabolomic, anthropometric and sociodemographic characterization of accelerated anthropometric aging | 18/05/2022 | 2022-012-04 | Mexico | Collaboration |
Dr Omar Yaxmehen Bello-Chavolla |
Validation, calibration and metabolomic association of GFR equations in the Mexican population, its risk of mortality from all causes and specific |
18/05/2022 | 2022-012-05 | Mexico | Collaboration |
Dr Omar Yaxmehen Bello-Chavolla | Prediabetes and cause-specific mortality | 18/05/2022 | 2022-012-06 | Mexico | Collaboration |
Dr Omar Yaxmehen Bello-Chavolla | External validation of Globorisk, SCORE, Globorisk-LAC and the Framingham formula for cardiovascular disease and mortality | 18/05/2022 | 2022-012-07 | Mexico | Collaboration |
Dr Omar Yaxmehen Bello-Chavolla | Prediction of mortality using anthropometric indices (relative fat mass); and visceral adiposity indices, all cause and specific cause mortality. | 18/05/2022 | 022-012-08 | Mexico | Collaboration |
Dr Omar Yaxmehen Bello-Chavolla | Hypertension phenotypes, all-cause and cause-specific mortality | 18/05/2022 | 022-012-09 | Mexico | Collaboration |
Dr Omar Yaxmehen Bello-Chavolla |
Prediction of cardiovascular mortality according to diabetes endotypes in Mexican individuals, and development of a score to evaluate |
18/05/2022 | 022-012-10 | Mexico | Collaboration |
Dr Omar Yaxmehen Bello-Chavolla | Inception and validation of a predictive scale for cardiometabolic deaths using a office, biochemical and metabolomic approach | 18/05/2022 | 2022-012-11 | Mexico | Collaboration |
Dr Omar Yaxmehen Bello-Chavolla | Effect of sociodemographic determinants of social inequalites on preventable and treatable mortality | 18/05/2022 | 2022-012-12 | Mexico | Collaboration |
Dr Omar Yaxmehen Bello-Chavolla | Lifestyle patterns and their interaction effect with metabolomic risk profiles on the risk of all-cause and cause-specific mortality | 18/05/2022 | 2022-012-13 | Mexico | Collaboration |
Dr Omar Yaxmehen Bello-Chavolla | Undiagnosed, untreated, and uncontrolled diabetes and high blood pressure and their risk of mortality from all causes and from specific causes | 18/05/2022 | 2022-012-14 | Mexico | Collaboration |
Dr Omar Yaxmehen Bello-Chavolla | Validation of an atherosclerotic disease-based prediction score for cardiometabolic mortality | 18/05/2022 | 2022-012-15 | Mexico | Collaboration |
Dr Omar Yaxmehen Bello-Chavolla | Working occupations and their interaction with cardiometabolic risk profiles for all-cause and cause-specific mortality risk | 18/05/2022 | 2022-012-16 | Mexico | Collaboration |
Dr Gary O'Donovan | Longitudinal associations of the 'weekend warrior' and other physical activity patterns with mortality: the Mexico City Prospective Study | 17/11/2022 | 2022-015 | Colombia | Open Access |
Dr Mashaal Sohail | Disentangling genes, environment, and their interplay in Mexico City | 16/11/2022 | 2022-016-02 | Mexico | Collaboration |
Dr Mashaal Sohail | Archaic introgression and complex trait variation in MCPS | 16/11/2022 | 2022-016-01 | Mexico | Open Access |
Dr Gerson Ferrari | Role of modifiable risk factors on adverse health outcomes: a prospective study using the Mexico City Prospective Study | 15/12/2022 | 2022-020 | Chile | Open Access |
Dr Claudia Gonzaga-Jauregui | Identification and analysis of medically actionable variants in the Mexican population | 11/01/2023 | 2023-001-01 | Mexico | Open Access |
Dr Claudia Gonzaga-Jauregui | Identification of genetic variants associated with Early Onset Alzheimer's Disease risk in the Mexican population | 11/01/2023 | 2023-001-02 | Mexico | Open Access |
Dr Claudia Gonzaga-Jauregui | Identification of genetic variants associated with hereditary cancer in the Mexican population | 11/01/2023 | 2023-001-03 | Mexico | Collaboration |
Dr Claudia Gonzaga-Jauregui | Identification and analysis of Mendelian disorders associated variation in the Mexican population | 11/01/2023 | 2023-001-04 | Mexico | Open Access |
Dr Claudia Gonzaga-Jauregui | Identification and analysis of structural variation in the Mexican population | 11/01/2023 | 2023-001-05 | Mexico | Open Access |
Dr Cristopher Van Hout | Parent of origin effects of genetic determinants of diabetic risk and related traits in the Mexico City Prospective Study | 11/01/2023 | 2023-001-06 | Mexico | Collaboration |
Dr Cristopher Van Hout | Modeling the relationship between obesity and cancer in the Mexico City Prospective Study | 31/03/2023 | 2023-001-07 | Mexico | Open Access |
Dr Claudia Gonzaga-Jauregui | Identification of pharmacogenomic variants associated with drug response and metabolism in the Mexican population | 12/04/2023 | 2023-001-08 | Mexico | Open Access |
Dr Claudia Gonzaga-Jauregui | Identification and analysis of short tandem repeats and their variability in Mexican genomes | 12/04/2023 | 2023-001-09 | Mexico | Open Access |
Dr Enrique Gomez-Figueroa | Stroke mortality and risk factors in Mexico | 19/01/2023 | 2023-005 | Mexico | Open Access |
Dr Adrian Soto-Mota | Mortality across different levels of LDL-C in people without other cardiovascular risk factors | 01/02/2023 | 2023-008 | Mexico | Collaboration |
Dr Vicente Diego Ortega-Del Vecchyo | Impact of natural selection acting on new variants on the MCPS | 16/03/2023 | 2023-011 | Mexico | Open Access |
Dr Yang Luo | HLA typing, diversity, and association analysis in the Mexico City Prospective Study | 16/03/2023 | 023-012 | England | Oxford Interdepartmental |
Dr Omar Yaxmehen Bello-Chavolla | Leveraging rare variation, global and local ancestry to develop polygenic risk scores for type 2 diabetes in admixed Americans | 07/06/2023 | 2023-021 | Mexico | Collaboration |
Dr Osvaldo Máximo Mutchinick Baringoltz | Development of a risk prediction model for myelomeningocele using a candidate gene sequencing panel in Mexican mestizo families | 05/06/2023 | 2023-023 | Mexico | Open Access |
Dr Gary O'Donovan | What are the associations between ‘diabesity’ and mortality in adults in Mexico? Findings from the Mexico City Prospective Study | 14/08/2023 | 2023-026 | Colombia | Open Access |
Dr Gary O'Donovan |
Associations between the ‘weekend warrior’ physical activity pattern and screen-detected mild cognitive impairment: findings from the Mexico |
25/08/2023 | 2023-027 | Colombia | Open Access |
Dr Lorena Orozco | Genetic variants associated with the response to diabetes type 2 treatment | 25/08/2023 | 2023-028 | Mexico | Collaboration |
Dr Catalina Medina Garcia |
Are there U-shaped associations of HDL-cholesterol and HDL-cholesterol subclasses with mortality? An analysis of more than 40,000 participants in the Mexico City Prospective Study |
07/09/2023 | 2023-029 | Mexico | Open Access |
Dr Malaquías López Cervantes | Family characteristics related to the presence of obesity in residents of Mexico City | 19/09/2023 | 2023-031 | Mexico | Open Access |
Prof Peter Visscher | Estimation of between-ancestry genetic differences from analysis of family data in an admixed population | 07/12/2023 | 2023-036 | England | Oxford Interdepartmental |
Alberto Nordmann Gomes | Prevalence, Management, and Mortality Outcomes of CKD in the Mexico City Prospective Study | 29/01/2024 | 2024-004 | Mexico | Collaboration |
Dr Gary O'Donovan | Associations between screen-detected cognitive impairment and mortality: findings from the Mexico City Prospective Study | 07/02/2024 | 2024-007 | Colombia | Collaboration |
Dr Gerson Ferrari | Joint association between physical activity, obesity and all cause and cause specific mortality in Mexican adults | 21/03/2024 | 2024-011 | Chile | Open Access |
Dr Adrian Rubli | Genetic moderation of the income-health relationship: Evidence from Mexico's elderly cash transfer programme | 07/05/2024 | 2024-013 | Mexico | Open Access |
Dr Javier Calvo Marin |
Analysis of Cardiovascular Risk Factor and Mortality Among the Elderly in Mexico City and Costa Rica: Insights from the MCPS and CRELES Cohorts |
03/07/2024 | 2024-025 | Costa Rica | Collaboration |
Dr Gerson Ferrari | Joint association of physical activity and sleep duration with all-cause and cause-specific mortality: a prospective study of Mexican adults | 09/07/2024 | 2024-026 | Chile | Open Access |
Dr Gerson Ferrari |
Physical activity pattern and all-cause mortality: a prospective study of 150,145 Mexican adults with different health conditions (hypertension |
31/07/2024 | 2024-029 | Chile | Open Access |
Dr Gary O'Donovan |
Latent class analysis of multimorbidity and its associations with cardiovascular disease, cancer and all-cause mortality in Mexican adults: |
29/08/2024 | 2024-036 | Colombia | Open Access |
Dr Josep Mercader | G6PD and diabetes complications | 23/08/2024 | 2024-037-01 | USA | Collaboration |
Dr Josep Mercader | Assessing pathogenicity of monogenic diabetes genes using sequence/TOPMed imputed data | 23/08/2024 | 2024-037-03 | USA | Collaboration |
Alegre-Díaz, Herrington, López-Cervantes et al. Diabetes and cause-specific mortality in Mexico City. New Engl J Med 2016; 375: 1961-1971.
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