
====== Imaging Genetics Meeting ======
Now the imaging genetics meeting is scheduled on "__//odd numbered weeks, Wednesday, 13:30-14:30//__".
The main purpose of this meeting is getting early feedback. If you have any topic, preliminary data, or an early draft idea you would like to discuss, please feel free to contact Weiqiu (weiqiu.cheng@medisin.uio.no).

**Upcoming seminars:**

  * 19 Jan 2022: Oleksandr Frei - FEMA: Fast and efficient mixed-effects algorithm for population-scale whole brain imaging data


**Past seminars:**
  * 30 June 2021: Aihua Lin - Distributed multivariate meta-analysis of brain imaging genetics data with multivariate omnibus statistical tool (Meta-MOSTest)
  * 19 May 2021: Thomas Lancaster - Structural neuroimaging-based risk scoring using meta-analysis priors across mental health disorders
  * 05 May 2021: Pierre Berthet - Normative modeling and extreme deviations
  * 21 Apr 2021: Rune Bøen - CNV carriers, cognition and age biomarkers    
  * 24 Mar 2021: Andreas Dahl - Person-Based Brain Morphometric Similarity
  * 10 Mar 2021: Oleksandr Frei - Quantifying gene set heritability and fold enrichments with GSA-MiXeR​
  * 07 Oct 2020: Alexey A. Shadrin - Multivariate GWAS of structural MRI UK Biobank data identifies 2024 unique genetic loci associated with cortical morphology
  * 19 Aug 2020: Dennis van der Meer - Improved prediction of bipolar disorder by leveraging genetic overlap with brain morphology
  * 24 Jun 2020: Sara Fernández - Characterizing the genetic bases of brain structure in ABCD
  * 17 Jun 2020: Torgeir Moberget - The genetic architecture of human cerebellar morphology 
  * 10 Jun 2020: Dennis van der Meer - Boosting the power of schizophrenia genetics by leveraging new statistical tools part deux: Genetic overlap between schizophrenia and brain morphology
  * 27 May 2020 Esten Leonardsen - Learning representations of the brain with deep convolutional neural networks
  * 13 May 2020: Weiqiu Cheng - Genetic Overlap Between Major Psychiatric Disorders and Brain Cortical Structure Indicates Shared Genetic Mechanisms
  * 12 Feb 2020: Wesley Thompson - Emerging Results in Imaging Genetics from the ABCD Study
  * 15 Jan 2020: Dennis van der Meer - Predicting brain disorders through AGEING (Age x Gene Effects in NeuroimaginG)
  * 11 Dec 2019: Daniël Roelfs​- Genetic overlap between schizophrenia and brain connectivity”
  * 27 Nov 2019: Oleksandr Frei - Multivariate Omnibus Statistical Tests - ongoing and planned projects
  * 11 Sep 2019: Osman Gani - Can we use polygenic models to predict antipsychotic drug response
  * 28 Aug 2019: Brian Trainor, Complementary neural circuits for social behaviour: A RNAseq approach ( http://trainorlab.ucdavis.edu/ )
  * 14 August 2019: Torgeir Moberget, Genetic influences on cerebellar morphology
  * 26 June 2019: Tiril Gurholt, Links between body and brain in the UKB: preliminary findings
  * 05 June 2019: Kevin O`Connell, Pleiotropy-Informed Conditional/Conjunctive False Discovery Rate 
  * 15 May 2019: Oleksandr Frei, Improved discovery of imaging measures in UKB with MOST (Multivariate Omnibus Statistical Testing)
  * 24 Apr 2019: Tim Hughes - Brainstorming possible brain phenotypes for known functional variants with large effect sizes (with a particular focus on ANK3 and C4)
  * 10 Apr 2019: Francesco Bettella - imputation in TOP and/or polygenic risk scores
  * 20 Feb 2019: Brainstorm about (potential) projects involving polygenic scores
  * 23 Jan 2019: Oleksandr Frei, Bivariate Gaussian mixture modelling tool
  * 09 Jan 2019: Tiril Gurholt, Whole body MRI data associations with immune/inflammatory markers, brain imaging and/or genetics
  * 19 Dec 2018: Dennis van der Meer, Estimating polygenicity and discoverability of structural neuroimaging measures
  * 05 Dec 2018: Luigi Maglanoc, Can measures of functional connectivity from resting-state fMRI predict various polygenic risk scores? A UK Biobank study
  * 21 Nov 2018: Sahar Hassani, Classifying schizophrenia and bipolar disorder with multi-block Partial Least Squares Regression analysis of brain MRI measures
  * 24 Oct 2018: Torgeir Moberget, Cerebellar GWAS - preliminary results
  * 25 Sep 2018: Ida Elken Sønderby, 15q11.2 CNV study of cortical thickness and DTI measures
  * 12 Sep 2018: Dennis van der Meer, Study into the corpus callosum (effects of Dx, age, and genetics)
  * 20 Jun 2018: Kevin O’Connell, Modification of genetic associations with antipsychotic treatment response by the severity and type of childhood trauma
  * 30 May 2018: Unn Kristin H. Haukvik, MRI-part of the violence project, i.e. hypotheses, available data, and some preliminary findings
  * 16 May 2018: Alexey A. Shadrin, Causal mixture modelling with annotations
  * 02 May 2018: Cecilie Haggag Johannessen, Cerebellar volumes and cerebello-cerebral structural covariance in early-onset psychosis patients and age-matched healthy controls using MRI
  * 18 Apr 2018: Torbjørn Elvsåshagen, sleep effect on structural and functional MRI indices
  * 18 Apr 2018: Jarek Rokicki, expression levels of sleep-wake regulation genes in the brain
  * 23 Mar 2018: Dennis van der Meer, Imaging genetics pipeline (overview of the available sample sizes, the preprocessing steps, and the analysis tools at our disposal: GCTA, GWAS, FUMA, LDSR, cFDR, PGRS)
  * 07 Mar 2018: Elken Sønderby, Update on ENIGMA-CNV
  * 21 Feb 2018: Jarek Rokicki, HTML tool for formatting of gene expression data
  * 07 Feb 2018: Ivan Maximov: Diffusion data post-processing
  * 17 Jan 2018: Aree Witoelar, "GWAS on Dementia with Lewy Body: a case study; A less-than-glamorous, under-the-hood practical guide to the GWAS pipeline”
  * 13 Dec 2017: Torgeir Moberget, integrate genetic data with his research into the cerebellum and its role in schizophrenia
  * 15 Nov 2017: Nhat Trung Doan, ENIGMA projects overview
  * 01 Nov 2017: Ida Elken Sønderby, CNV project update
  * 18 Oct 2017: Oleksander Frei, Handling UKBB data