Publications

Selected publications, grouped by research theme. Lab members are shown in bold.

For the complete and up-to-date record, see Google Scholar or PubMed.

Methods for large-scale interaction analysis

• Westerman KE, Majarian TD, Giulianini F, …, Cole JB. Variance-quantitative trait loci enable systematic discovery of gene-environment interactions for cardiometabolic serum biomarkers. Nat Commun. 2022;13(1):3993.
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• Westerman KE, Pham DT, Hong L, …, Manning AK. GEM: scalable and flexible gene-environment interaction analysis in millions of samples. Bioinformatics. 2021;37(20):3514-3520.
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Polygenic scores for interaction and response

• Westerman KE, Gervis JE, O’Connor LJ, Udler MS, Manning AK. Polygenic scores capture genetic modification of the adiposity-cardiometabolic risk factor relationship. Cell Genom. 2026;6(3):101075.
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• Westerman KE, Chasman DI, Gauderman WJ, Durvasula A. Pathway-specific polygenic scores substantially increase the discovery of gene-adiposity interactions impacting liver biomarkers. HGG Adv. 2026;7(1):100515.
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Molecular mechanisms of gene-environment interaction

• Westerman KE, Sofer T. Many roads to a gene-environment interaction. Am J Hum Genet. 2024;111(4):626-635.
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• Westerman KE, Kilpeläinen TO, Sevilla-Gonzalez M, …, Manning AK. Refinement of a published gene-physical activity interaction impacting HDL-cholesterol: role of sex and lipoprotein subfractions. Genet Epidemiol. 2025;49(1):e22607.
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Diet, fatty acids, and cardiometabolic response

• Westerman KE, Patel CJ, Meigs JB, Chasman DI, Manning AK. Decomposed interaction testing improves detection of genetic modifiers of the relationship of dietary omega-3 fatty acid intake and its plasma biomarkers with hsCRP in the UK Biobank. Genes Nutr. 2025;20(1):3.
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• Westerman KE, Walker ME, Gaynor SM, …, Manning AK. Investigating gene-diet interactions impacting the association between macronutrient intake and glycemic traits. Diabetes. 2023;72(5):653-665.
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• Westerman K, Liu Q, Liu S, …, Ordovás JM. A gene-diet interaction-based score predicts response to dietary fat in the Women’s Health Initiative. Am J Clin Nutr. 2020;111(4):893-902.
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Selected collaborative and consortium work

• Smith K, Deutsch AJ, McGrail C, …, Westerman KE, …, Udler MS. Multi-ancestry polygenic mechanisms of type 2 diabetes. Nat Med. 2024;30(4):1065-1074.
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• Kim H, Westerman KE, Smith K, …, Udler MS. High-throughput genetic clustering of type 2 diabetes loci reveals heterogeneous mechanistic pathways of metabolic disease. Diabetologia. 2023;66(3):495-507. DOI · PubMed

Earlier work

• Westerman KE, Harrington S, Ordovas JM, Parnell LD. PhyteByte: identification of foods containing compounds with specific pharmacological properties. BMC Bioinformatics. 2020;21(1):238.
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• Westerman K, Fernández-Sanlés A, Patil P, …, Ordovás JM. Epigenomic assessment of cardiovascular disease risk and interactions with traditional risk metrics. J Am Heart Assoc. 2020;9(8):e015299.
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• Westerman K, Sebastiani P, Jacques P, Liu S, DeMeo D, Ordovás JM. DNA methylation modules associate with incident cardiovascular disease and cumulative risk factor exposure. Clin Epigenetics. 2019;11(1):142.
  DOI · PubMed