The COVID-19 host genetics initiative brings together the human genetics community to generate, share and analyze data to learn the genetic determinants of COVID-19 susceptibility, severity and outcomes. Such discoveries could help to generate hypotheses for drug repurposing, identify individuals at unusually high or low risk, and contribute to global knowledge of the biology of SARS-CoV-2 infection and disease.


The COVID-19 host genetics initiative is a bottom-up collaborative effort that has three main aims:

Aim 1: Provide an environment to foster the sharing of resources to facilitate COVID-19 host genetics research (e.g. protocols, questionnaires).

Aim 2: Organize analytical activities across studies to identify genetic determinants of COVID-19 susceptibility and severity.

Aim 3: Provide a platform to share the results from meta-analytical activities to benefit the broader scientific community.


July 2, 2020 meeting
July 02, 2020

Webinar 4: July 2nd, 2020 9:00pm EDT / 1pm GMT / 2pm BST Agenda: 1. Welcome & updates Speaker: Andrea Ganna (FIMM) [Slides] 2. Terms of use discussion Speaker: Mark Daly (FIMM) & group discussion Reading: ToU Proposal 3. Community updates Speakers: Patrick Sulem (deCODE) [Slides] Daniel Wilson (BDI, Oxford) [Slides] 4. Lightning talks presenting in silico analyses Contributors and results are…

In-silico follow-up results
June 29, 2020

Here we post the results from the in-silico follow up analysis done of summary statistics from release 3. Heritability, genetic correlations and MAGMA Summary: We created a map of candidate genomic regions associated with COVID19 phenotypes and explored the functional implications of the candidate variants/genes based on known bioinformatics sources using the functional annotation platform FUMA…

May 29, 2020 meeting
June 02, 2020

Webinar 3: 5/29/2020 9:00pm EDT / 1pm GMT / 2pm BST Agenda: 1. Welcome & updates Speakers: Mark Daly & Andrea Ganna (FIMM) [Slides] 2. Phenotype definitions v2 Speaker: James Priest (Stanford) [Slides] Reading: Phenotypes v2 3. Analysis update Speaker: Ben Neale (Broad Institute) [Slides] 4. Lightning talks presenting early results Speakers: Nick Manusco (USC) [Slides] Lea Davis (VUMC) [Slides…

Second release of meta-analysis results
May 17, 2020

Updated results and summary statistic downloads are now available from the (still small but growing!) COVID-19 GWAS meta-analysis. Analyses this time include severity, susceptibility and COVID-19 associated symptoms. Results are downloadable at https://www.covid19hg.org/results/ As a reminder, these results are based on phenotype definition V1 and analysis plan V1 Thanks to early contributing…

COVID-19 host genetics initiative reference paper
May 15, 2020

The paper describing the initiative has been published on the European Journal of Human Genetics and available open access: https://www.nature.com/articles/s41431-020-0636-6

May 7, 2020 meeting
May 07, 2020

Webinar 2: 5/07/2020 4:00pm EDT / 8pm GMT / 9pm BST Agenda: Welcome & updates Speakers: Mark Daly (FIMM) & Andrea Ganna (FIMM) [Slides] Study curation & QC Speakers: Karolina Chwiałkowska (Medical University of Bialystok) & Margherita Francescatto (University of Trieste) [Slides] Ongoing studies and early results Speakers: Kári Stefánsson (deCODE) Alessandra Renieri (University of Siena) [Slides…

First round of meta analysis results
April 30, 2020

We have released the first round of meta-analysis results here. We want to thank the participating studies: - UK Biobank (analyzed by Danny Wilson, Konrad Karczewski, Tomoko Nakanishi and Manuel Rivas) - Finngen (analyzed by Juha Karjalainen) - Genes and Health (analyzed by David Van Heel) - Lifelines (analyzed by Patrick Deelen) - BioMe biobank (analyzed by Arden Moscati) Although we don’t pose…

Second call, first round of analyses and data sharing
April 20, 2020

The second call had more than 400 participants! Given the positive response during the call and multiple groups sharing early GWAS analyses on Slack, we aim to launch a first meta-analysis later this week. The broader analysis plan being developed is available here and we would expect to make available the first meta-analysis summary statistics immediately. We discuss two approaches in regards to…

April 17, 2020 meeting
April 17, 2020

9:00am EDT / 1pm GMT / 2pm BST Agenda: Welcome & updates (10min) Speakers: Mark Daly (FIMM); Andrea Ganna (FIMM) Data storage & sharing discussion (5min present; 10min Q&A) Speakers: Thomas Keane (EMBL-EBI); Anthony Philippakis (Broad Institute) For reference Data Sharing FAQ Phenotypes discussion (5min present; 25min Q&A) Speakers: Lea Davis (Vanderbilt); Mark Daly (FIMM) For reference…

New partner portal and gearing up for analysis
April 09, 2020

There are more than 100 studies participating to the initiative and we have launched a now portal to allow exploring studies research questions and foster collaborations. Next week we will start distributing a pilot analysis plan.

First call and new registration form
March 30, 2020

On Friday, 27th of March we had the first call for data contributors. We have > 180 participants and very useful discussion. We are working on establishing a "matchmaking" area, where different study can connect to each other according to their research questions. We are also working on defining a set of core phenotypes to bring forward to discussion and analysis. We have established a new…

New website
March 25, 2020

The new website is live with more information and a new updated map of the partners.

Collaboration with the International Common Disease Alliance (ICDA)
March 19, 2020

The collaboration with ICDA will help to reach the broad human genetics community and to organize the effort.

COVID-19 resources from the Rivas Lab
March 18, 2020

The Rivas lab is making available a github repository with several relevant human genetic resources: https://github.com/rivas-lab/covid19

Large collective response
March 18, 2020

Thanks to everyone for reaching out. We will organize soon a call with those interested in providing data.

First IRB approval
March 16, 2020

University of Siena has received ethical approval for sample collection. For more informations visit the wesbite: https://sites.google.com/dbm.unisi.it/gen-covid