Mahdi Akbarzadeh
@akbzmsg
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Biostatistician, Ph.D., Interested in Statistical Genetics, and Quantitative Genetics, Shahid Beheshti University of Medical Sciences (SBMU)
Tehran
Joined December 2020
RT @mendel_random: The vast majority of Mendelian randomization studies are at best non-contributory or at worst simply ludicrous. How shou….
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RT @Ryan_Au_Yeung: @SteZhao I think the issue is not about reporting but whether the design actually makes sense. We definitely need to com….
bmcmedicine.biomedcentral.com
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RT @WrayNaomi: First PhD paper from @MarkXiaotongWan @IMBatUQ addressing a common observation of GWAS meta-analysis.
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RT @jyang1981: The OPERA paper is published in Cell Genomics! The OPERA method integrates GWAS and xQTL summary statistics across multiple….
cell.com
Wu and colleagues developed OPERA, a method that integrates genetic analysis of multi-omics data with GWASs to explore the biology of genetic associations. They found that 50% of GWAS signals are...
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RT @YangWu20: Thrilled to share our latest work! We have generalized the SMR&HEIDI approach to a multi-omics model, which links ~50% GWAS l….
cell.com
Wu and colleagues developed OPERA, a method that integrates genetic analysis of multi-omics data with GWASs to explore the biology of genetic associations. They found that 50% of GWAS signals are...
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RT @AnnaWysocki3: 1/5. Make collider bias make sense. (I'll try) Conditioning on a collider (variable caused by outcome and predictor) indu….
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RT @Genomicsplc: HEART is a world-first study, investigating the use of polygenic risk score testing in the prevention of cardiovascular di….
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RT @amitvkhera: New primer from @AniruddhPatelMD in @AnnualReviews:. Advances and Applications of Polygenic Scores for Coronary.Artery Dise….
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RT @FrnkNlsn: Introduction to information geometry with applications (no prerequisites on differential geometry):.- 40-min video: https://t….
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RT @AJHGNews: Polygenic risk scores or family history? New work from @samrip & colleagues that leverages @FinnGen_FI data concludes 'why no….
cell.com
Leveraging family relationships, nationwide registries, and genome-wide genotyping, Mars et al. systematically compared two measures of inherited disease risk across 24 diseases: family history and...
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RT @RanCui2: I'm excited to share our new fine-mapping methods: SuSiE-inf and FINEMAP-inf. We improve upon the current state-of-the art met….
biorxiv.org
Fine-mapping aims to identify genetic variants that causally impact a given phenotype. State-of-the-art Bayesian fine-mapping algorithms (for example: SuSiE[1][1], FINEMAP[2][2],[3][3], ABF[4][4],...
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RT @XihongLin: Our STAARpipeline paper appeared in @naturemethods. STAARpipeline is an all-in-one, scalable, automated coding & noncoding r….
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RT @AlexTISYoung: New work led by @OmanGuan, and presented this morning at #ASHG22, on novel estimators for family-based GWAS that increase….
biorxiv.org
A goal of genome-wide association studies (GWASs) is to estimate the causal effects of alleles carried by an individual on that individual (‘direct genetic effects’). Typical GWAS designs, however,...
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RT @CharlestonCWKC: Robin Hofmeister: "Leveraging sequencing data in the UKB to detect parent-of-origin effects in 80,821 individuals". #AS….
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