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Sriram Sankararaman

Explore the profile of Sriram Sankararaman including associated specialties, affiliations and a list of published articles. Areas
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Articles 90
Citations 5166
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Recent Articles
1.
Xue A, Rao J, Sankararaman S, Pimentel H
iScience . 2025 Feb; 28(2):111673. PMID: 39944273
New assays such as Perturb-seq link parallel CRISPR interventions to transcriptomic readouts, providing insight into gene regulatory networks. Causal regulatory networks can be represented by directed acyclic graphs (DAGs), but...
2.
Sadowski M, Thompson M, Mefford J, Haldar T, Oni-Orisan A, Border R, et al.
Cell Genom . 2024 Dec; 4(12):100722. PMID: 39637863
Identifying factors that affect treatment response is a central objective of clinical research, yet the role of common genetic variation remains largely unknown. Here, we develop a framework to study...
3.
Chen Z, Das S, Kar A, Lee S, Abuhanna K, Alvarez M, et al.
bioRxiv . 2024 Nov; PMID: 39554055
Human subcutaneous adipose tissue (SAT) contains a diverse array of cell-types; however, the epigenomic landscape among the SAT cell-types has remained elusive. Our integrative analysis of single-cell resolution DNA methylation...
4.
Avram O, Durmus B, Rakocz N, Corradetti G, An U, Nittala M, et al.
Nat Biomed Eng . 2024 Oct; PMID: 39354052
The application of machine learning to tasks involving volumetric biomedical imaging is constrained by the limited availability of annotated datasets of three-dimensional (3D) scans for model training. Here we report...
5.
Gorla A, Witonsky J, Elhawary J, Chen Z, Mefford J, Perez-Garcia J, et al.
Res Sq . 2024 Sep; PMID: 39315258
Identifying and refining clinically significant patient stratification is a critical step toward realizing the promise of precision medicine in asthma. Several peripheral blood hallmarks, including total peripheral blood eosinophil count...
6.
Sarwal V, Lee S, Yang J, Sankararaman S, Chaisson M, Eskin E, et al.
Brief Bioinform . 2024 Sep; 25(5). PMID: 39297879
Structural variation (SV) refers to insertions, deletions, inversions, and duplications in human genomes. SVs are present in approximately 1.5% of the human genome. Still, this small subset of genetic variation...
7.
Fu B, Anand P, Anand A, Mefford J, Sankararaman S
Genome Res . 2024 Aug; 34(9):1294-1303. PMID: 39209554
Our knowledge of the contribution of genetic interactions () to variation in human complex traits remains limited, partly due to the lack of efficient, powerful, and interpretable algorithms to detect...
8.
Jeong M, Pazokitoroudi A, Liu Z, Sankararaman S
Genome Res . 2024 Jul; 34(9):1286-1293. PMID: 39038848
SNP heritability, the proportion of phenotypic variation explained by genotyped SNPs, is an important parameter in understanding the genetic architecture underlying various diseases and traits. Methods that aim to estimate...
9.
Pazokitoroudi A, Liu Z, Dahl A, Zaitlen N, Rosset S, Sankararaman S
Am J Hum Genet . 2024 Jun; 111(7):1462-1480. PMID: 38866020
Understanding the contribution of gene-environment interactions (GxE) to complex trait variation can provide insights into disease mechanisms, explain sources of heritability, and improve genetic risk prediction. While large biobanks with...
10.
Boetto C, Frouin A, Henches L, Auvergne A, Suzuki Y, Patin E, et al.
Brief Bioinform . 2024 Jun; 25(4). PMID: 38856173
Multivariate analysis is becoming central in studies investigating high-throughput molecular data, yet, some important features of these data are seldom explored. Here, we present MANOCCA (Multivariate Analysis of Conditional CovAriance),...