Mattia Cordioli Profile
Mattia Cordioli

@bordinki

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PhD | Data science, genetics, metabolomics

Helsinki
Joined April 2013
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@bordinki
Mattia Cordioli
11 months
RT @Jakob_German: Thrilled to share our latest preprint!📜 A major project I’ve led during my PhD, examining how genetic factors influence….
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@bordinki
Mattia Cordioli
1 year
Finally PhDONE!! Thank you @zkutalik for a great discussion, and thank you @andganna for guiding me and inspiring me throughout this journey ♥️.
@SebastianMayWi1
Sebastian May-Wilson
1 year
Congratulations to @bordinki for successfully defending his PhD today! @andganna
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@bordinki
Mattia Cordioli
1 year
another great work from the lab - huge congrats @feiyi_wang !!.
@feiyi_wang
Feiyi Wang
1 year
T1D and other autoimmune diseases (AIDs) co-occur in families. How parental AIDs impact T1D risk in offspring and how much of the familial risk is explained by HLA and non-HLA variants? 👩🏻‍🦱🧔🏻‍♂️👶🏻.Find out more from this thread 🧵 and our new preprint ⬇️!
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@bordinki
Mattia Cordioli
2 years
Couldn't have asked for a better group of people to share this PhD journey with 🫶🏼.
@andganna
Andrea ganna
2 years
Another successful DSGE/Ollila retreat! . Very happy to work with such a kind and generous group 🙏
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@bordinki
Mattia Cordioli
2 years
RT @ZhiyuHas0Memory: Is the genetic of disease susceptibility and progression shared?. We look at this question within a global biobank col….
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@bordinki
Mattia Cordioli
2 years
A huge THANK YOU to everyone who's been guiding and helping me in this work, which wouldn’t have been possible without: @_corbettandrea_ @HannaKariis @DrSakari @pecsi_max @i_am_dr_doom @matteoferro98 @lehto_kelli @ProfNiemi @samrip @MilaniLili and my supervisor @andganna (14/14).
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@bordinki
Mattia Cordioli
2 years
Take-home message 2:. The robust associations with some of the socio-demographic factors considered suggest that socio-economically disadvantaged groups would benefit from targeted interventions to improve the dispensing and uptake of pharmacological treatments. (13/n).
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@bordinki
Mattia Cordioli
2 years
Take-home message 1:. Our results suggest a very limited role of genetics, including established pharmacogenes, on persistence and adherence. (12/n).
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@bordinki
Mattia Cordioli
2 years
Moreover, we tested whether the GWAS results from FinnGen could be used to build a polygenic score for statin adherence and found this was significantly associated with observed adherence. (11/n).
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@bordinki
Mattia Cordioli
2 years
We finally replicated the results for statins in Estonian Biobank, which have similar drug purchase and genetic data, and observed consistent effects for health and socio-economic factors present in both studies. (10/n).
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@bordinki
Mattia Cordioli
2 years
We also wondered how ploygenic scores for the traits above would predict persistence and adherence. Effect sizes were overall smaller than those for the health and socio-demographic factors at the beginning, and could explain a lower fraction of variance in adherence. (9/n).
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@bordinki
Mattia Cordioli
2 years
Interestingly, adherence to statins and BP medications were positively correlated with participating in one or more of the optional questionnaires of UK Biobank. (8/n)
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@bordinki
Mattia Cordioli
2 years
We ran a GWAS of persistence and adherence to each medication. We didn’t find significant associations with either phenotype but could use the results to explore the genetic overlap between persistence, adherence and other health and behavioral traits. (7/n).
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@bordinki
Mattia Cordioli
2 years
None of the pharmacogenes we tested showed an effect on adherence. (6/n)
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@bordinki
Mattia Cordioli
2 years
We then turned to genetics, the first suspect being relevant and well established pharmacogenes. CYP2C9 intermediate met. (⬆️ risk of fluvastatins side effects) associated with lower odds of persistence. Similar for tamoxifen and CYP2D6 poor met. ( ⬇️drug response). (5/n).
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@bordinki
Mattia Cordioli
2 years
We first considered the effect 8 health and sociodemographic factors. Non-Finnish/Swedish mother tongue (proxy for recent immigration) and receiving social assistance benefits (lower socio-economic status) showed the biggest effects on both phenotypes, across all meds. (4/n)
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@bordinki
Mattia Cordioli
2 years
We looked at these phenotypes across 5 relevant med classes, including up to N=1 814 591. We explored health and socio-demographic factors in the nation-wide Finregistry data, and genetics for the subset of ppl from FinnGen. We replicated our results in Estonian Biobank. (3/n)
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@bordinki
Mattia Cordioli
2 years
Based on data from all prescription drug purchases made in Finland from 1998 to 2020, we defined two drug taking behaviors: continuing the treatment for at least one year vs early discontinuing it (persistence), and following the prescribed therapeutic regimen (adherence) (2/n).
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@bordinki
Mattia Cordioli
2 years
Really excited to share a new preprint📜, the main project I have been working on during my PhD!. Why are people not adherent to their💊💊? How much do social vs genetic factors impact that? What about relevant pharmacogenes?. Here’s what we found! (1/n) .
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medrxiv.org
Low drug adherence is a major obstacle to the benefits of pharmacotherapies, and it is therefore important to identify factors associated with discontinuing or being poorly adherent to a prescribed...
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@bordinki
Mattia Cordioli
2 years
RT @andganna: The last paper from @covid19_hgi is out in @Nature . Thanks again to all the contributor, for making this initiative a succes….
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nature.com
Nature - A second update on mapping the human genetic architecture of COVID-19
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