Daniel C Nachun
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Explore the profile of Daniel C Nachun including associated specialties, affiliations and a list of published articles.
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8
Citations
117
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Recent Articles
1.
Ahmad H, Gopakumar J, Nachun D, Ma L, DAddabbo J, Huang X, et al.
Cardiovasc Res
. 2025 Feb;
PMID: 39907372
Aims: Single-cell RNA sequencing (scRNA-seq) is a powerful method for exploring the cellular heterogeneity within human atheroma but typically requires fresh tissue to preserve cell membrane integrity, limiting the feasibility...
2.
Zhou B, Arthur J, Guo H, Kim T, Huang Y, Pattni R, et al.
Cell
. 2024 Oct;
187(23):6687-6706.e25.
PMID: 39353437
Complex structural variations (cxSVs) are often overlooked in genome analyses due to detection challenges. We developed ARC-SV, a probabilistic and machine-learning-based method that enables accurate detection and reconstruction of cxSVs...
3.
Mack T, Raddatz M, Pershad Y, Nachun D, Taylor K, Guo X, et al.
Nat Aging
. 2024 Jun;
4(8):1043-1052.
PMID: 38834882
Clonal hematopoiesis of indeterminate potential (CHIP), whereby somatic mutations in hematopoietic stem cells confer a selective advantage and drive clonal expansion, not only correlates with age but also confers increased...
4.
Kasela S, Aguet F, Kim-Hellmuth S, Brown B, Nachun D, Tracy R, et al.
Am J Hum Genet
. 2024 Jan;
111(1):133-149.
PMID: 38181730
Bulk-tissue molecular quantitative trait loci (QTLs) have been the starting point for interpreting disease-associated variants, and context-specific QTLs show particular relevance for disease. Here, we present the results of mapping...
5.
Brown B, Wang C, Kasela S, Aguet F, Nachun D, Taylor K, et al.
Cell Genom
. 2023 Aug;
3(8):100359.
PMID: 37601969
Multi-omics datasets are becoming more common, necessitating better integration methods to realize their revolutionary potential. Here, we introduce multi-set correlation and factor analysis (MCFA), an unsupervised integration method tailored to...
6.
Kasela S, Aguet F, Kim-Hellmuth S, Brown B, Nachun D, Tracy R, et al.
bioRxiv
. 2023 Jul;
PMID: 37425716
Bulk tissue molecular quantitative trait loci (QTLs) have been the starting point for interpreting disease-associated variants, while context-specific QTLs show particular relevance for disease. Here, we present the results of...
7.
Balliu B, Carcamo-Orive I, Gloudemans M, Nachun D, Durrant M, Gazal S, et al.
Am J Hum Genet
. 2021 Sep;
108(10):1866-1879.
PMID: 34582792
Complex traits and diseases can be influenced by both genetics and environment. However, given the large number of environmental stimuli and power challenges for gene-by-environment testing, it remains a critical...
8.
Teran N, Nachun D, Eulalio T, Ferraro N, Smail C, Rivas M, et al.
Am J Hum Genet
. 2021 Jul;
108(8):1401-1408.
PMID: 34216550
Precise interpretation of the effects of rare protein-truncating variants (PTVs) is important for accurate determination of variant impact. Current methods for assessing the ability of PTVs to induce nonsense-mediated decay...
9.
de Goede O, Nachun D, Ferraro N, Gloudemans M, Rao A, Smail C, et al.
Cell
. 2021 Apr;
184(10):2633-2648.e19.
PMID: 33864768
Long non-coding RNA (lncRNA) genes have well-established and important impacts on molecular and cellular functions. However, among the thousands of lncRNA genes, it is still a major challenge to identify...