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Keywords
Last Name
Institution

Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Dan Liviu Nicolae and Hae Kyung Im.

 
Connection Strength
 
 
 
1.154
 
  1. Pividori M, Schoettler N, Nicolae DL, Ober C, Im HK. Shared and distinct genetic risk factors for childhood-onset and adult-onset asthma: genome-wide and transcriptome-wide studies. Lancet Respir Med. 2019 06; 7(6):509-522.
    View in: PubMed
    Score: 0.216
  2. Barbeira AN, Pividori M, Zheng J, Wheeler HE, Nicolae DL, Im HK. Integrating predicted transcriptome from multiple tissues improves association detection. PLoS Genet. 2019 01; 15(1):e1007889.
    View in: PubMed
    Score: 0.212
  3. Barbeira AN, Dickinson SP, Bonazzola R, Zheng J, Wheeler HE, Torres JM, Torstenson ES, Shah KP, Garcia T, Edwards TL, Stahl EA, Huckins LM. Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics. Nat Commun. 2018 05 08; 9(1):1825.
    View in: PubMed
    Score: 0.202
  4. Wheeler HE, Shah KP, Brenner J, Garcia T, Aquino-Michaels K. Survey of the Heritability and Sparse Architecture of Gene Expression Traits across Human Tissues. PLoS Genet. 2016 Nov; 12(11):e1006423.
    View in: PubMed
    Score: 0.182
  5. Gamazon ER, Wheeler HE, Shah KP, Mozaffari SV, Aquino-Michaels K, Carroll RJ, Eyler AE, Denny JC. A gene-based association method for mapping traits using reference transcriptome data. Nat Genet. 2015 Sep; 47(9):1091-8.
    View in: PubMed
    Score: 0.167
  6. Im HK, Gamazon ER, Nicolae DL, Cox NJ. On sharing quantitative trait GWAS results in an era of multiple-omics data and the limits of genomic privacy. Am J Hum Genet. 2012 Apr 06; 90(4):591-8.
    View in: PubMed
    Score: 0.132
  7. Wang J, Gamazon ER, Pierce BL, Stranger BE, Im HK, Gibbons RD, Cox NJ, Nicolae DL, Chen LS. Imputing Gene Expression in Uncollected Tissues Within and Beyond GTEx. Am J Hum Genet. 2016 Apr 07; 98(4):697-708.
    View in: PubMed
    Score: 0.044
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.