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Journal Article

Lange LA, Hu Y, Zhang H, Xue C, Schmidt EM, Tang Z-Z, Bizon C, Lange EM, Smith JD, Turner EH, et al. Whole-exome sequencing identifies rare and low-frequency coding variants associated with LDL cholesterol. Am J Hum Genet. 2014 ;94(2):233-45.

Hofer E, Cavalieri M, Bis JC, DeCarli C, Fornage M, Sigurdsson S, Srikanth V, Trompet S, Verhaaren BFJ, Wolf C, et al. White Matter Lesion Progression: Genome-Wide Search for Genetic Influences. Stroke. 2015 ;46(11):3048-57.

Benjamin EJ, Rice KM, Arking DE, Pfeufer A, van Noord C, Smith AV, Schnabel RB, Bis JC, Boerwinkle E, Sinner MF, et al. Variants in ZFHX3 are associated with atrial fibrillation in individuals of European ancestry. Nat Genet. 2009 ;41(8):879-81.

Schnabel RB, Aspelund T, Li G, Sullivan LM, Suchy-Dicey A, Harris TB, Pencina MJ, D'Agostino RB, Levy D, Kannel WB, et al. Validation of an atrial fibrillation risk algorithm in whites and African Americans. Arch Intern Med. 2010 ;170(21):1909-17.

Chibnik LB, Wolters FJ, Bäckman K, Beiser A, Berr C, Bis JC, Boerwinkle E, Bos D, Brayne C, Dartigues J-F, et al. Trends in the incidence of dementia: design and methods in the Alzheimer Cohorts Consortium. Eur J Epidemiol. 2017 ;32(10):931-938.

Hsu Y-H, Li G, Liu C-T, Brody JA, Karasik D, Chou W-C, Demissie S, Nandakumar K, Zhou Y, Cheng C-H, et al. Targeted Sequencing of Genome Wide Significant Loci Associated with Bone Mineral Density (BMD) Reveals Significant Novel and Rare Variants: The Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Targeted Sequencing Study. Hum Mol Genet. 2016 .

Tin A, Marten J, Kuhns VLHalperin, Li Y, Wuttke M, Kirsten H, Sieber KB, Qiu C, Gorski M, Yu Z, et al. Target genes, variants, tissues and transcriptional pathways influencing human serum urate levels. Nat Genet. 2019 ;51(10):1459-1474.

Davies G, Lam M, Harris SE, Trampush JW, Luciano M, W Hill D, Hagenaars SP, Ritchie SJ, Marioni RE, Fawns-Ritchie C, et al. Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function. Nat Commun. 2018 ;9(1):2098.

Mishra A, Malik R, Hachiya T, Jürgenson T, Namba S, Posner DC, Kamanu FK, Koido M, Le Grand Q, Shi M, et al. Stroke genetics informs drug discovery and risk prediction across ancestries. Nature. 2022 .

Li M, Li Y, Weeks O, Mijatovic V, Teumer A, Huffman JE, Tromp G, Fuchsberger C, Gorski M, Lyytikäinen L-P, et al. SOS2 and ACP1 Loci Identified through Large-Scale Exome Chip Analysis Regulate Kidney Development and Function. J Am Soc Nephrol. 2016 .

Alonso A, Krijthe BP, Aspelund T, Stepas KA, Pencina MJ, Moser CB, Sinner MF, Sotoodehnia N, Fontes JD, A Janssens CJW, et al. Simple risk model predicts incidence of atrial fibrillation in a racially and geographically diverse population: the CHARGE-AF consortium. J Am Heart Assoc. 2013 ;2(2):e000102.

Laguzzi F, Åkesson A, Marklund M, Qian F, Gigante B, Bartz TM, Bassett JK, Birukov A, Campos H, Hirakawa Y, et al. Role of Polyunsaturated Fat in Modifying Cardiovascular Risk Associated With Family History of Cardiovascular Disease: Pooled De Novo Results From 15 Observational Studies. Circulation. 2024 ;149(4):305-316.

Paige E, Barrett J, Pennells L, Sweeting M, Willeit P, Di Angelantonio E, Gudnason V, Nordestgaard BG, Psaty BM, Goldbourt U, et al. REPEATED MEASUREMENTS OF BLOOD PRESSURE AND CHOLESTEROL IMPROVES CARDIOVASCULAR DISEASE RISK PREDICTION: AN INDIVIDUAL-PARTICIPANT-DATA META-ANALYSIS. Am J Epidemiol. 2017 .

Mahajan A, Wessel J, Willems SM, Zhao W, Robertson NR, Chu AY, Gan W, Kitajima H, Taliun D, N Rayner W, et al. Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes. Nat Genet. 2018 ;50(4):559-571.

Jakobsdottir J, van der Lee SJ, Bis JC, Chouraki V, Li-Kroeger D, Yamamoto S, Grove ML, Naj A, Vronskaya M, Salazar JL, et al. Rare Functional Variant in TM2D3 is Associated with Late-Onset Alzheimer's Disease. PLoS Genet. 2016 ;12(10):e1006327.

Sims R, van der Lee SJ, Naj AC, Bellenguez C, Badarinarayan N, Jakobsdottir J, Kunkle BW, Boland A, Raybould R, Bis JC, et al. Rare coding variants in PLCG2, ABI3, and TREM2 implicate microglial-mediated innate immunity in Alzheimer's disease. Nat Genet. 2017 ;49(9):1373-1384.

Murphy RA, Tintle N, Harris WS, Darvishian M, Marklund M, Virtanen JK, Hantunen S, de Mello VD, Tuomilehto J, Lindström J, et al. PUFA ω-3 and ω-6 biomarkers and sleep: a pooled analysis of cohort studies on behalf of the Fatty Acids and Outcomes Research Consortium (FORCE). Am J Clin Nutr. 2022 ;115(3):864-876.

Emilsson V, Jonsson BG, Austin TR, Gudmundsdottir V, Axelsson GT, Frick EA, Jonmundsson T, Steindorsdottir AE, Loureiro J, Brody JA, et al. Proteomic prediction of incident heart failure and its main subtypes. Eur J Heart Fail. 2023 .

Jonmundsson T, Steindorsdottir AE, Austin TR, Frick EA, Axelsson GT, Launer L, Psaty BM, Loureiro J, Orth AP, Aspelund T, et al. A proteomic analysis of atrial fibrillation in a prospective longitudinal cohort (AGES-Reykjavik study). Europace. 2023 ;25(11).

van Setten J, Brody JA, Jamshidi Y, Swenson BR, Butler AM, Campbell H, Del Greco FM, Evans DS, Gibson Q, Gudbjartsson DF, et al. PR interval genome-wide association meta-analysis identifies 50 loci associated with atrial and atrioventricular electrical activity. Nat Commun. 2018 ;9(1):2904.

Eicher JD, Chami N, Kacprowski T, Nomura A, Chen M-H, Yanek LR, Tajuddin SM, Schick UM, Slater AJ, Pankratz N, et al. Platelet-Related Variants Identified by Exomechip Meta-analysis in 157,293 Individuals. Am J Hum Genet. 2016 ;99(1):40-55.

Liu X, Axelsson GThor, Newman AB, Psaty BM, Boudreau RM, Wu C, Arnold AM, Aspelund T, Austin TR, Gardin JM, et al. Plasma proteomic signature of human longevity. Aging Cell. 2024 :e14136.

Postmus I, Trompet S, Deshmukh HA, Barnes MR, Li X, Warren HR, Chasman DI, Zhou K, Arsenault BJ, Donnelly LA, et al. Pharmacogenetic meta-analysis of genome-wide association studies of LDL cholesterol response to statins. Nat Commun. 2014 ;5:5068.

Kent ST, Rosenson RS, Avery CL, Chen Y-derI, Correa A, Cummings SR, Cupples AL, Cushman M, Evans DS, Gudnason V, et al. PCSK9 Loss-of-Function Variants, Low-Density Lipoprotein Cholesterol, and Risk of Coronary Heart Disease and Stroke: Data From 9 Studies of Blacks and Whites. Circ Cardiovasc Genet. 2017 ;10(4):e001632.

Xu J, Gaddis NC, Bartz TM, Hou R, Manichaikul AW, Pankratz N, Smith AV, Sun F, Terzikhan N, Markunas CA, et al. Omega-3 Fatty Acids and Genome-wide Interaction Analyses Reveal DPP10-Pulmonary Function Association. Am J Respir Crit Care Med. 2018 .

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