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2024

Nagarajan P, Winkler TW, Bentley AR, Miller CL, Kraja AT, Schwander K, Lee S, Wang W, Brown MR, Morrison JL, et al. A Large-Scale Genome-Wide Study of Gene-Sleep Duration Interactions for Blood Pressure in 811,405 Individuals from Diverse Populations. medRxiv. 2024 .

Wang H, Nagarajan P, Winkler T, Bentley A, Miller C, Kraja A, Schwander K, Lee S, Wang W, Brown M, et al. A Large-Scale Genome-Wide Study of Gene-Sleep Duration Interactions for Blood Pressure in 811,405 Individuals from Diverse Populations. Res Sq. 2024 .

Nagarajan P, Winkler TW, Bentley AR, Miller CL, Kraja AT, Schwander K, Lee S, Wang W, Brown MR, Morrison JL, et al. A Large-Scale Genome-Wide Study of Gene-Sleep Duration Interactions for Blood Pressure in 811,405 Individuals from Diverse Populations. medRxiv. 2024 .

Shelbaya K, Arthur V, Yang Y, Dorbala P, Buckley L, Claggett B, Skali H, Dufresne L, Yang T-Y, Engert JC, et al. Large-Scale Proteomics Identifies Novel Biomarkers and Circulating Risk Factors for Aortic Stenosis. J Am Coll Cardiol. 2024 ;83(5):577-591.

Shelbaya K, Arthur V, Yang Y, Dorbala P, Buckley L, Claggett B, Skali H, Dufresne L, Yang T-Y, Engert JC, et al. Large-Scale Proteomics Identifies Novel Biomarkers and Circulating Risk Factors for Aortic Stenosis. J Am Coll Cardiol. 2024 ;83(5):577-591.

Harrington LB, Ehlert AN, Thacker EL, Jenny NS, Lopez O, Cushman M, Olson NC, Fitzpatrick A, Mukamal KJ, Jensen MK. Levels of procoagulant factors and peak thrombin generation in relation to dementia risk in older adults: The Cardiovascular Health Study. Thromb Res. 2024 ;235:148-154.

Hrytsenko Y, Shea B, Elgart M, Kurniansyah N, Lyons G, Morrison AC, Carson AP, Haring B, Mitchell BD, Psaty BM, et al. Machine learning models for predicting blood pressure phenotypes by combining multiple polygenic risk scores. Sci Rep. 2024 ;14(1):12436.

Hrytsenko Y, Shea B, Elgart M, Kurniansyah N, Lyons G, Morrison AC, Carson AP, Haring B, Mitchell BD, Psaty BM, et al. Machine learning models for predicting blood pressure phenotypes by combining multiple polygenic risk scores. Sci Rep. 2024 ;14(1):12436.

Hrytsenko Y, Shea B, Elgart M, Kurniansyah N, Lyons G, Morrison AC, Carson AP, Haring B, Mitchell BD, Psaty BM, et al. Machine learning models for predicting blood pressure phenotypes by combining multiple polygenic risk scores. Sci Rep. 2024 ;14(1):12436.

Hrytsenko Y, Shea B, Elgart M, Kurniansyah N, Lyons G, Morrison AC, Carson AP, Haring B, Mitchell BD, Psaty BM, et al. Machine learning models for predicting blood pressure phenotypes by combining multiple polygenic risk scores. Sci Rep. 2024 ;14(1):12436.

Hrytsenko Y, Shea B, Elgart M, Kurniansyah N, Lyons G, Morrison AC, Carson AP, Haring B, Mitchell BD, Psaty BM, et al. Machine learning models for predicting blood pressure phenotypes by combining multiple polygenic risk scores. Sci Rep. 2024 ;14(1):12436.

Hrytsenko Y, Shea B, Elgart M, Kurniansyah N, Lyons G, Morrison AC, Carson AP, Haring B, Mitchell BD, Psaty BM, et al. Machine learning models for predicting blood pressure phenotypes by combining multiple polygenic risk scores. Sci Rep. 2024 ;14(1):12436.

Lundin JI, Peters U, Hu Y, Ammous F, Avery CL, Benjamin EJ, Bis JC, Brody JA, Carlson C, Cushman M, et al. Methylation patterns associated with C-reactive protein in racially and ethnically diverse populations. Epigenetics. 2024 ;19(1):2333668.

Lundin JI, Peters U, Hu Y, Ammous F, Avery CL, Benjamin EJ, Bis JC, Brody JA, Carlson C, Cushman M, et al. Methylation patterns associated with C-reactive protein in racially and ethnically diverse populations. Epigenetics. 2024 ;19(1):2333668.

Patchen BK, Zhang J, Gaddis N, Bartz TM, Chen J, Debban C, Leonard H, Nguyen NQ, Seo J, Tern C, et al. {Multi-ancestry genome-wide association study reveals novel genetic signals for lung function decline. medRxiv. 2024 .

Patchen BK, Zhang J, Gaddis N, Bartz TM, Chen J, Debban C, Leonard H, Nguyen NQ, Seo J, Tern C, et al. {Multi-ancestry genome-wide association study reveals novel genetic signals for lung function decline. medRxiv. 2024 .

Patchen BK, Zhang J, Gaddis N, Bartz TM, Chen J, Debban C, Leonard H, Nguyen NQ, Seo J, Tern C, et al. {Multi-ancestry genome-wide association study reveals novel genetic signals for lung function decline. medRxiv. 2024 .

Patchen BK, Zhang J, Gaddis N, Bartz TM, Chen J, Debban C, Leonard H, Nguyen NQ, Seo J, Tern C, et al. {Multi-ancestry genome-wide association study reveals novel genetic signals for lung function decline. medRxiv. 2024 .

Verma SS, Gudiseva HV, Chavali VRM, Salowe RJ, Bradford Y, Guare L, Lucas A, Collins DW, Vrathasha V, Nair RM, et al. A multi-cohort genome-wide association study in African ancestry individuals reveals risk loci for primary open-angle glaucoma. Cell. 2024 ;187(2):464-480.e10.

Verma SS, Gudiseva HV, Chavali VRM, Salowe RJ, Bradford Y, Guare L, Lucas A, Collins DW, Vrathasha V, Nair RM, et al. A multi-cohort genome-wide association study in African ancestry individuals reveals risk loci for primary open-angle glaucoma. Cell. 2024 ;187(2):464-480.e10.

Verma SS, Gudiseva HV, Chavali VRM, Salowe RJ, Bradford Y, Guare L, Lucas A, Collins DW, Vrathasha V, Nair RM, et al. A multi-cohort genome-wide association study in African ancestry individuals reveals risk loci for primary open-angle glaucoma. Cell. 2024 ;187(2):464-480.e10.

Verma SS, Gudiseva HV, Chavali VRM, Salowe RJ, Bradford Y, Guare L, Lucas A, Collins DW, Vrathasha V, Nair RM, et al. A multi-cohort genome-wide association study in African ancestry individuals reveals risk loci for primary open-angle glaucoma. Cell. 2024 ;187(2):464-480.e10.

Verma SS, Gudiseva HV, Chavali VRM, Salowe RJ, Bradford Y, Guare L, Lucas A, Collins DW, Vrathasha V, Nair RM, et al. A multi-cohort genome-wide association study in African ancestry individuals reveals risk loci for primary open-angle glaucoma. Cell. 2024 ;187(2):464-480.e10.

Mei H, Simino J, Li L, Jiang F, Bis JC, Davies G, W Hill D, Xia C, Gudnason V, Yang Q, et al. Multi-omics and pathway analyses of genome-wide associations implicate regulation and immunity in verbal declarative memory performance. Alzheimers Res Ther. 2024 ;16(1):14.

Mei H, Simino J, Li L, Jiang F, Bis JC, Davies G, W Hill D, Xia C, Gudnason V, Yang Q, et al. Multi-omics and pathway analyses of genome-wide associations implicate regulation and immunity in verbal declarative memory performance. Alzheimers Res Ther. 2024 ;16(1):14.

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