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Kristin G. Ardlie

Researcher at Broad Institute

Publications -  165
Citations -  90852

Kristin G. Ardlie is an academic researcher from Broad Institute. The author has contributed to research in topics: Genome-wide association study & Single-nucleotide polymorphism. The author has an hindex of 74, co-authored 142 publications receiving 76019 citations. Previous affiliations of Kristin G. Ardlie include Massachusetts Institute of Technology & Buck Institute for Research on Aging.

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Journal ArticleDOI

Response to Comments on "A Common Genetic Variant Is Associated with Adult and Childhood Obesity"

Alan Herbert, +30 more
- 12 Jan 2007 - 
TL;DR: Given the findings of a positive association between rs7566605 and body mass index in four out of five separate samples, a false positive finding cannot be ruled out with certainty but seems unlikely.
Posted ContentDOI

Mechanisms of tissue-specific genetic regulation revealed by latent factors across eQTLs

Yuan He, +10 more
- 06 Oct 2019 - 
TL;DR: A constrained matrix factorization model is developed to learn patterns of tissue sharing and tissue specificity of eQTLs across 49 human tissues from the Genotype-Tissue Expression (GTEx) project and exhibits better biological interpretability than heuristic methods.
Journal ArticleDOI

Clonal haematopoiesis and risk of chronic liver disease

Waihay J. Wong, +437 more
- 12 Apr 2023 - 
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Multiset correlation and factor analysis enables exploration of multi-omic data

Brielin C. Brown, +23 more
- 20 Jul 2022 - 
TL;DR: Multi-set Correlation and Factor Analysis is introduced, an unsupervised integration method that enables fast inference of shared and private factors in multi-modal data that infers a shared space that captures clinically relevant molecular processes.
Posted ContentDOI

Fine-mapping and QTL tissue-sharing information improve causal gene identification and transcriptome prediction performance

Alvaro N. Barbeira, +10 more
- 20 Mar 2020 - 
TL;DR: It is found that informing prediction models with posterior causal probability from fine-mapping and borrowing information across tissues lead to better performance in terms of number and proportion of significant associations that are colocalized and the proportion of silver standard genes identified as indicated by precision-recall and ROC (Receiver Operating Characteristic) curves.