Anne Feng (@AnnejaneF) profile picture

Assoc. Prof. at National Taiwan Univ. | Researcher in genetic epidemiology and statistical genetics | Previously at @MGH_RI and @broadinstitute

Taipei, Taiwan
Joined April 2011
Great collaboration, delighted to be part of it!
Hi everyone, Our paper about boosting the power of GWAS using polygenic scores (PGS) is just out in @NatureGenet. Please check it out here: nature.com/articles/s41588-0…
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New preprint! We studied how rare protein-coding variants impact cognitive function & linked diseases in @uk_biobank. We identified 8 large-effect cog fx genes, dosage-sensitivity for KDM5B, additivity of rare variant and polygenic risk & more (1/12) medrxiv.org/content/10.1101/…
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Do medically-actionable genes have effects on psychiatric disorders? Targeted deep sequencing in 15K individuals from @eMERGENetwork_ Led by @AnnejaneF #pleiotropy #PheWAS @TheACMG @GeneticCouns pubmed.ncbi.nlm.nih.gov/3559…
I predict 2022 as the Year of the National Biobanks. After many years of investment, they are now generating data at a population-scale. MVP. FinnGen.All of Us. Estonia. UKGH. UKBB. Retweet w/ other examples @AllofUsCEO @FinnGen_FI @dvh13 @zakkohane @atulbutte @dalygene – at Wellesley, MA
An interesting overview of the Taiwan Biobank and its design/phenotypes. Genetic data for 110k people (strangely, genotyped on two arrays with little overlap, and not using their own WGS for imputation). >9k pairs of first degree relatives. medrxiv.org/content/10.1101/…
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So depressing rereading this thread of the first embryo selection by broad genomic profiling from healthy donors in the US
Bloomberg reports the claim of the first child born following polygenic screening as an embryo, via a company called Genomic Prediction. Basically a test that rank orders embryos by health using genome wide profile 🧵 bloomberg.com/news/articles/…
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Today we are thrilled to announce the #COVID19 HGI manuscript is published @Nature nature.com/articles/s41586-0… In this study, we report that the human genome significantly contributes to an individual’s response to SARS-CoV-2 infection. 1/
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Fantastic to have this paper out! Julia Goodrich and @miriam_udler did a seriously heroic amount of work to explore a critical question: if you carry a rare variant previously reported as causing a "monogenic" disease, how likely are you to actually have the disease?
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I’m excited to share DeepNull, led by @FHormozdiari from the Genomics team in @GoogleHealth, which improves statistical power of GWAS by better modeling non-linear interactions between covariates, which improves detection of genetic associations 1/6
DeepNull: Modeling non-linear covariate effects improves phenotype prediction and association power biorxiv.org/cgi/content/shor… #bioRxiv
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Taiwan biobank 🇹🇼 - adding diversity to East Asian genetics research
A large-scale genomics resource of East Asian ancestry made available by Taiwan Biobank. A joint project with @ChiayenChen @DrYenFengLin @getian107 @AnnejaneF @dalygene and many others!
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Precision medicine in 2030—seven ways to transform healthcare from @NIHDirector @AllofUsCEO cell.com/cell/fulltext/S0092…
On behalf of the Bipolar Exome (BipEx) project, I'm excited to present our analyses of exome sequencing data from 13,933 bipolar disorder cases and 14,422 controls which highlights AKAP11 as a shared risk gene with schizophrenia: medrxiv.org/cgi/content/shor… (1/9)
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Exciting day for COVID-19 host genetics! 🧬🎊 1) Flagship @covid19_hgi paper. Largest GWAS for COVID-19. 50000 cases. 15 loci medrxiv.org/content/10.1101/… 2) The clinical impact of the strongest genetic variant for COVID-19 and its age-dependent effect. medrxiv.org/content/10.1101/…
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This paper was a longtime coming. In no particular order, some of the interesting things to learn from the sequencing and analysis of 53,831 human genomes. 1/n nature.com/articles/s41586-0… PDF: nature.com/articles/s41586-0…
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Large-scale machine learning-based phenotyping significantly improves genomic discovery for optic nerve head morphology arxiv.org/ftp/arxiv/papers/2…
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In a major scientific breakthrough, the latest version of #AlphaFold has been recognised as a solution to one of biology's grand challenges - the “protein folding problem”. It was validated today at #CASP14, the biennial Critical Assessment of protein Structure Prediction (1/3)
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Excited to share our new preprint! We looked deep into the genetic architecture of age of first occurrence and characterized its genomic relationship with disease susceptibility. Many thanks to my awesome mentors and collaborators @jorsmo @bmneale @getian107 @andganna @bordinki
Findings and insights from the genetic investigation of age of first reported occurrence for complex disorders in the UK Biobank and FinnGen medrxiv.org/cgi/content/shor… #medRxiv
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For those new to writing grants, these @NIH (in this case @genome_gov) Strategic Vision documents are *extremely* helpful. Understanding intermediate-term goals can help align your research agendas/trajectories. nature.com/articles/s41586-0… @nature @NHGRI_Director #Genomics2020
After several years of hard work, including discussions with thousands of people in the US and abroad, @genome_gov is proud to share our #Genomics2020 Strategic Vision with you! The official paper is now published in @Nature. go.nature.com/31MUSG3
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