Ran Cui Profile
Ran Cui

@RanCui2

Followers
98
Following
32
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4
Statuses
15

Staff scientist @broadinstitute @MGH_RI

Joined January 2021
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@RanCui2
Ran Cui
3 years
I'm excited to share our new fine-mapping methods: SuSiE-inf and FINEMAP-inf. We improve upon the current state-of-the art methods by modeling infinitesimal effects while fine-mapping larger causal effects. đź§µ 1/n
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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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@RanCui2
Ran Cui
3 years
RT @masakanai: Our SLALOM paper is now out in @CellGenomics!🎉 Huge thanks again to Roy Elzur @weizhouw @dalygene and Hilary Finucane as wel….
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@RanCui2
Ran Cui
3 years
Last but not least, huge thanks to co-authors: Roy Elzur, @masakanai @julirsch @oweissb @dalygene @bmneale and co-mentors Zhou Fan and Hilary Finucane!.
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@RanCui2
Ran Cui
3 years
Our software implementation is available at Runtime is comparable to existing methods. 5/n
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@RanCui2
Ran Cui
3 years
Using the posterior effect sizes of the sparse component generated by our methods to perform polygenic risk score predictions (PRS) significantly improves prediction accuracy. 4/n
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@RanCui2
Ran Cui
3 years
We performed simulations with model/prior misspecifications and demonstrated that non-sparse causal effects can be a contributor to miscalibration. Our new methods, where we model infinitesimal effects in addition to sparse causal effects can ameliorate this miscalibration. 3/n
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@RanCui2
Ran Cui
3 years
State-of-the art methods may be miscalibrated when applied in real data. We found higher-than-expected Replication Failure Rates for SuSiE, FINEMAP and COJO-ABF when fine-mapping @uk_biobank. In contrast, RFRs are low in simulations without model/prior misspecifications. 2/n
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@RanCui2
Ran Cui
3 years
I'm excited to share our new fine-mapping methods: SuSiE-inf and FINEMAP-inf. We improve upon the current state-of-the art methods by modeling infinitesimal effects while fine-mapping larger causal effects. đź§µ 1/n
Tweet card summary image
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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@RanCui2
Ran Cui
4 years
RT @masakanai: Excited to share our latest manuscript on complex trait fine-mapping across diverse populations! This is a collaborative eff….
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medrxiv.org
Despite the great success of genome-wide association studies (GWAS) in identifying genetic loci significantly associated with diseases, the vast majority of causal variants underlying disease-assoc...
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@RanCui2
Ran Cui
4 years
RT @julirsch: Types of human genetics papers in which I come for all of you and then for myself:
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@RanCui2
Ran Cui
4 years
RT @brianltrippe: We (@skdeshpande91, @ta_broderick and myself) have a new pre-print out now! It’s called “Confidently comparing estimators….
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@RanCui2
Ran Cui
4 years
RT @RyanLCollins13: I've been incredibly lucky to work on many large, collaborative projects in human genomics during my PhD w/@TalkowskiLa….
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@RanCui2
Ran Cui
4 years
RT @oweissb: This is the stuff great problems are made of:.Simple enough that 10 year olds can understand it, complex enough to remain unso….
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@RanCui2
Ran Cui
4 years
RT @doctorveera: More than a strict P<5e-8 cut off, biological evidence to support the loci matters more. Here the authors show that ~92%….
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