How is genetic epidemiology evolving in the era of big data and AI?
Read our recap of key trends and takeaways from IGES 2025 here: https://medium.com/zs-associates/iges-2025-causality-diversity-and-innovation-a3ac3980e05e
#IGES2025 #GeneticEpidemiology #MultiOmics #AIinGenomics #DiversityInResearch #RiskPrediction #Innovation #ZS
IGES 2025: Causality, diversity, and innovation

Read about the 2025 International Genetic Epidemiology Society conference and learn why genomics research is entering a new era.

Medium

Time for a re-#introduction !

I'm a #scicomm enthusiast and board member of #Fediscience. My background is in #Biophysics, done a Postdoc in #GeneticEpidemiology, industry detour, now working in #HPC for some years.

Interested in #HPC, #bioinformatics, #OpenScience, #workflows (#snakemake), #RDM, #scientificsoftware and #sciencecommunication

My blog can be found here: blogs.fediscience.org and my more political me can be found at @rupdecat.

Haplin: Analyzing Case-Parent Triad and/or Case-Control Data with SNP Haplotypes

Performs genetic association analyses of case-parent triad (trio) data with multiple markers. It can also incorporate complete or incomplete control triads, for instance independent control children. Estimation is based on haplotypes, for instance SNP haplotypes, even though phase is not known from the genetic data. 'Haplin' estimates relative risk (RR + conf.int.) and p-value associated with each haplotype. It uses maximum likelihood estimation to make optimal use of data from triads with missing genotypic data, for instance if some SNPs has not been typed for some individuals. 'Haplin' also allows estimation of effects of maternal haplotypes and parent-of-origin effects, particularly appropriate in perinatal epidemiology. 'Haplin' allows special models, like X-inactivation, to be fitted on the X-chromosome. A GxE analysis allows testing interactions between environment and all estimated genetic effects. The models were originally described in "Gjessing HK and Lie RT. Case-parent triads: Estimating single- and double-dose effects of fetal and maternal disease gene haplotypes. Annals of Human Genetics (2006) 70, pp. 382-396".

Hi, my name is Tessa, I'm interested in #LEGO #Genealogy #Cats #Nerd stuff #OranjeLeeuwinnen (Dutch female soccer team). I'm married to @Dalya77 together we search (online) archives for our ancestors while our 2 former #FeralCats Amy and Nynke, are sleeping below our desks.
I work as a SAS #programmer in #BioStatistics coming from a background in #BiomedicalSciences and #GeneticEpidemiology.
I'll post in English and Dutch. #Introduction
Hi, my name is Tessa, I just moved over to tech.lgbt . I'm interested in #LEGO #Genealogy #Cats #Nerd stuff #OranjeLeeuwinnen (Dutch female soccer team). I'm married to @Dalya77 we have 2 former #FeralCats Amy and Nynke. I work as a SAS #programmer in #BioStatistics coming from a background in #BiomedicalSciences and #GeneticEpidemiology.
I'll post in English and Dutch. #Introduction
Interested in methodology applied to genomic studies? Postdoc in Statistical Genomics At University of Leicester, UK, with Frank Dudbridge. Available immediately until 30 November 2026, closing date 30 Jan 2023 #jobs #geneticepidemiology
https://jobs.le.ac.uk/vacancies/6673/research-associate-in-statistical-genomics.html
Research Associate in Statistical Genomics in Leicester | University of Leicester

View details and apply for this Research Associate in Statistical Genomics vacancy in Leicester. We are looking for a talented and motivated individual to join the Genetic Epidemiology Research Group to undertake methodological development funded by the NIHR Leicester Biomedical Research ...

University of Leicester
People don't mate randomly – but the flawed assumption that they do is an essential part of many studies linking genes to diseases and traits

People don’t randomly select who they have children with. And that means an underlying assumption in research that tries to link particular genes to certain diseases or traits is wrong.

The Conversation

#introduction toot!

Hi, I am molecular biologist/asst prof at the Institute of #GeneticEpidemiology in Innsbruck, Austria. Working on #genomics of #lipoproteinA, a #cardiovascular risk factor that is regulated by a long, polymorphic #cnv and #SNPs hidden there. Using standard #molecularbiology, #ngs, #nanopore, #epidemiology and a bit of #bioinformatics. Always curious also about any other cvd epi things and interesting sequencing puzzles in the spare time.

#HelloWorld, time to do my #introduction 👋

I’m a #computerScientist working as research fellow in #computationalMedicine and doing a lot of #bioinformatics and #geneticEpidemiology.

I develop and apply statistical and computational methods to identify #multiomics modifications influencing complex human phenotypes. I’ve also worked on the problem of #knowledgeDiscovery in biological data, and on the reverse engineering of #geneRegulatoryNetworks.

Time for an #introduction ! It's my 3rd or 4th day. Thanks for having me here. 😀

My background: PhD in #Biophysics, PostDoc in #GeneticEpidemiology, industry detour, now working in #HPC for ~8y.

Interested in #HPC, #bioinformatics, #OpenScience, #workflows (#snakemake), #RDM, #scientificsoftware and #sciencecommunication .

Former scienceblogger (German), now looking for a new plattform, since the current (scienceblogs.de) is closing down.