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Correction: Corrigendum: Genome-wide association study identifies multiple loci associated with both mammographic density and breast cancer risk

Sara Lindström
Deborah J. Thompson
Rulla M. Tamimi
Amendments and Corrections09 Sept 2015
Nature Communications

Volume: 6, P: 1
Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics

Phenotypic variation and diseases are influenced by factors such as genetic variants and gene expression. Here, Barbeira et al. develop S-PrediXcan to compute PrediXcan results using summary data, and investigate the effects of gene expression variation on human phenotypes in 44 GTEx tissues and >100 phenotypes.

Alvaro N. Barbeira
Scott P. Dickinson
Hae Kyung Im
ResearchOpen Access08 May 2018
Nature Communications

Volume: 9, P: 1-20
Genome-wide association study identifies multiple loci associated with both mammographic density and breast cancer risk

Mammographic density is a strong risk factor for breast cancer. Here, the authors identify several new loci associated dense area, non-dense area and percent density, and highlight a shared genetic basis for mammographic density and breast cancer.

Sara Lindström
Deborah J. Thompson
Rulla M. Tamimi
Research24 Oct 2014
Nature Communications

Volume: 5, P: 1-8
A gene-based association method for mapping traits using reference transcriptome data

Hae Kyung Im and colleagues report a method for predicting gene expression perturbations from genotype data after training on reference transcriptome data sets. Association of predicted gene expression with disease traits identifies known and new candidate disease genes.

Eric R Gamazon
Heather E Wheeler
Hae Kyung Im
Research10 Aug 2015
Nature Genetics

Volume: 47, P: 1091-1098
Integrated genomic profiling expands clinical options for patients with cancer

Genomic profiling of cancer samples yields more therapeutic options by including germline, RNA-seq and immunotherapy biomarkers.

Nike Beaubier
Martin Bontrager
Kevin P. White
Research30 Sept 2019
Nature Biotechnology

Volume: 37, P: 1351-1360

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Correction: Corrigendum: Genome-wide association study identifies multiple loci associated with both mammographic density and breast cancer risk

Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics

Genome-wide association study identifies multiple loci associated with both mammographic density and breast cancer risk

A gene-based association method for mapping traits using reference transcriptome data

Integrated genomic profiling expands clinical options for patients with cancer

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