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You can only choose one option below:

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Basic information of 50037 GWAS summary datasets on OpenGWAS Basic information of 24947 exposure GWAS traits Basic information of 16 Alzheimer's disease outcome GWAS traits

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107 exposure traits with consistent effect across three main outcome datasets 8 common exposure traits with evidence of effect on AD_ieu-b-5067 and AD_ieu-a-297 193 exclusive exposure traits with evidence of effect on AD_ieu-a-297 179 common exposure traits with evidence of effect on AD_ieu-b-2 and AD_ieu-a-297 320 exclusive exposure traits with evidence of effect on AD_ieu-b-2 82 common exposure traits with evidence of effect on AD_ieu-b-2 and AD_ieu-b-5067 486 exclusive exposure traits with evidence of effect on AD_ieu-b-5067 x

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83 common exposure traits with positive effect across three main outcome datasets 6 common exposure traits with evidence of positive effect on AD_ieu-b-5067 and AD_ieu-a-297 86 exclusive exposure traits with evidence of positive effect on AD_ieu-a-297 73 common exposure traits with evidence of positive effect on AD_ieu-b-2 and AD_ieu-a-297 118 exclusive exposure traits with evidence of positive effect on AD_ieu-b-2 52 common exposure traits with evidence of positive effect on AD_ieu-b-2 and AD_ieu-b-5067 273 exclusive exposure traits with evidence of positive effect on AD_ieu-b-5067 x

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23 common exposure traits with negative effect across three main outcome datasets 2 common exposure traits with evidence of negative effect on AD_ieu-b-5067 and AD_ieu-a-297 107 exclusive exposure traits with evidence of negative effect on AD_ieu-a-297 107 common exposure traits with evidence of negative effect on AD_ieu-b-2 and AD_ieu-a-297 206 exclusive exposure traits with evidence of negative effect on AD_ieu-b-2 26 common exposure traits with evidence of negative effect on AD_ieu-b-2 and AD_ieu-b-5067 218 exclusive exposure traits with evidence of negative effect on AD_ieu-b-5067 x

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38 exposure traits with consistent effect across 13 FinnGen outcome datasets x

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34 exposure traits with positive effect across 13 FinnGen outcome datasets x

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4 exposure traits with negative effect across 13 FinnGen outcome datasets x

IVW results for Alzheimer's disease outcomes

IVW results for Alzheimer's disease outcomes

Sensitivity analysis results for Alzheimer's disease outcomes

Licence
MRAD grants you a non-exclusive, non-transferable revocable licence to access and use the app for private or non-commercial research purposes only. If you wish to access and use the app for commercial research purposes, please forward your enquiry to zhaoty22@ mails.jlu.edu.cn.

Ownership of MRAD
Subject to the Licence, nothing in these Terms grants you any right to, or in, any intellectual property rights of any nature (whether existing now or in the future and whether registered or unregistered) in the app.

Anti-racism
You agree to not use the data or methods in the app to make claims about racial superiority. You agree to strictly adhere to the American Society of Human Genetics (ASHG) position statement ASHG Denounces Attempts to Link Genetics and Racial Supremacy and the International Genetic Epidemiology Society Statement on Racism and Genetic Epidemiology.

Vulnerable groups
You agree to adhere to the principles articulated in the final two sections articulated by the ASHG position on Advancing Diverse Participation in Research with Special Consideration for Vulnerable Populations, namely, "In the Conduct of Research with Vulnerable Populations, Researchers Must Address Concerns that Participation May Lead to Group Harm" and "The Benefits of Research Participation Are Profound, Yet the Potential Danger that Unethical Application of Genetics Might Stigmatize, Discriminate against, or Persecute Vulnerable Populations Persists."

Disclaimers
We do not guarantee that (a) the app or any MRAD Data will always be available or interrupted; (b) the app or any MRAD Data will be accurate, complete, free from errors or omissions or secure or free from bugs or viruses; or (c) that the result of using the app or any MRAD Data will be accurate, adequate or fit for any particular purpose. Where the app contains links to other sites or resources provided by third parties, these links are provided for your information only and you acknowledge that we have no control over the content of those sites or resources. All warranties, representations, conditions and all other terms of any kind whatsoever implied by statute or common law, to the fullest extent permitted by applicable, law, excluding from these Terms. Any medical or genetic information is provided for research, educational and informational purposes only. It is not in any way intended to be used as a substitute for professional medical advice, diagnosis, treatment or care.

Limitation of liability
You assume sole responsibility for the results obtained from the use of the app and any MRAD Data and for conclusions drawn from such use. MRAD shall have no liability for any damage or other loss whatsoever arising out of or in connection with your use of the app or any MRAD Data. MRAD shall not be liable in any circumstances whether in contract, tort (including for negligence), misrepresentation (whether innocent or negligent), restitution or otherwise for any special, indirect or consequential loss, costs, damages, charges or expenses however arising under these Terms including but not limited to loss of funding or loss of opportunity, goodwill or reputation. Nothing in these Terms excludes or limits any liability which cannot be excluded or limited by applicable law.

Suspension and termination
MRAD may, at its sole discretion, suspend, withdraw, discontinue or change all or any part of the app (in respect of any single user, group of users or all users of the app) without notice and whether or not arising from any breach of these Terms. MRAD will not be liable to you in such circumstances.

Changes to these Terms
MRAD may revise these Terms at any time by amending this page. Please check this page from time to time to take notice of any changes, as they will be legally binding on you.

Dependencies
The MRAD app project is built upon many important open source software projects.
The MR analysis for all pairs of exposures and outcomes were extracted from MRC IEU OpenGWAS .
The MR analysis was performed based on R packages.
The information and links to proteins were from UniProt .

Credits
You agree to cite any use of the MRAD in the form set out in the “About” page. You further agree to observe and comply with any notice requiring you to cite the original source of any MRAD Data in your analyses in the form set out in such notice.

Computer software copyright
2023SR0730294

How to cite MRAD
Zhao T, Li H, Zhang M, Xu Y, Zhang M, Chen L. Systematic evaluation of multifactorial causal associations for Alzheimer's disease and an interactive platform MRAD developed based on Mendelian randomization analysis. Elife. 2024 Oct 11;13:RP96224. doi: 10.7554/eLife.96224. PMID: 39392298; PMCID: PMC11469671.



Contact us
All comments and suggestions are welcome, especially those suggesting new cases of MRAD and possible improvements on the app. We can be reached at
Tianyu Zhao;
Address: Department of Pharmacology, College of Basic Medical Sciences, Jilin University; 126 Xinmin Street, Changchun City, Jilin Province, People’s Republic of China;
Postcode: 130021
E-mail: zhaoty22@ mails.jlu.edu.cn
Tel:+8613756283023
WeChat: 1172721320
If you find any error in data or bug in web service, please kindly report it to us. Effective Date
This policy is effective as of 3/10/2023.

Update Date
New studies added to MRAD database. MRAD now comprises 710,608 records as of 6/10/2024.

MRAD(Mendelian randomization for Alzheimer's disease)