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Yoneyama S, Guo Y, Lanktree MB, Barnes MR, Elbers CC, Karczewski KJ, Padmanabhan S, Bauer F, Baumert J, Beitelshees A, et al. Gene-centric meta-analyses for central adiposity traits in up to 57 412 individuals of European descent confirm known loci and reveal several novel associations. Hum Mol Genet. 2014 ;23(9):2498-510.

Guo Y, Lanktree MB, Taylor KC, Hakonarson H, Lange LA, Keating BJ. Gene-centric meta-analyses of 108 912 individuals confirm known body mass index loci and reveal three novel signals. Hum Mol Genet. 2013 ;22(1):184-201.

Fuentes Lde Las, Sung YJu, Noordam R, Winkler T, Feitosa MF, Schwander K, Bentley AR, Brown MR, Guo X, Manning A, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Mol Psychiatry. 2020 .

Fuentes Lde Las, Schwander KL, Brown MR, Bentley AR, Winkler TW, Sung YJu, Munroe PB, Miller CL, Aschard H, Aslibekyan S, et al. Gene-educational attainment interactions in a multi-population genome-wide meta-analysis identify novel lipid loci. Front Genet. 2023 ;14:1235337.

Dashti HS, Follis JL, Smith CE, Tanaka T, Garaulet M, Gottlieb DJ, Hruby A, Jacques PF, de Jong JCKiefte-, Lamon-Fava S, et al. Gene-Environment Interactions of Circadian-Related Genes for Cardiometabolic Traits. Diabetes Care. 2015 ;38(8):1456-66.

Lin H, Mueller-Nurasyid M, Smith AV, Arking DE, Barnard J, Bartz TM, Lunetta KL, Lohman K, Kleber ME, Lubitz SA, et al. {Gene-gene Interaction Analyses for Atrial Fibrillation. Sci Rep. 2016 ;6:35371.

Mishra A, Duplaà C, Vojinovic D, Suzuki H, Sargurupremraj M, Zilhao NR, Li S, Bartz TM, Jian X, Zhao W, et al. {Gene-mapping study of extremes of cerebral small vessel disease reveals TRIM47 as a strong candidate. Brain. 2022 ;145:1992–2007.

Wang S, Zhao JH, An P, Guo X, Jensen RA, Marten J, Huffman JE, Meidtner K, Boeing H, Campbell A, et al. General Framework for Meta-Analysis of Haplotype Association Tests. Genet Epidemiol. 2016 ;40(3):244-52.

Carlson CS, Matise TC, North KE, Haiman CA, Fesinmeyer MD, Buyske S, Schumacher FR, Peters U, Franceschini N, Ritchie MD, et al. Generalization and dilution of association results from European GWAS in populations of non-European ancestry: the PAGE study. PLoS Biol. 2013 ;11(9):e1001661.

Yoneyama S, Yao J, Guo X, Fernandez-Rhodes L, Lim U, Boston J, Bůžková P, Carlson CS, Cheng I, Cochran B, et al. Generalization and fine mapping of European ancestry-based central adiposity variants in African ancestry populations. Int J Obes (Lond). 2017 ;41(2):324-331.

Hodonsky CJo, Schurmann C, Schick UM, Kocarnik J, Tao R, van Rooij FJa, Wassel C, Buyske S, Fornage M, Hindorff LA, et al. Generalization and fine mapping of red blood cell trait genetic associations to multi-ethnic populations: The PAGE Study. Am J Hematol. 2018 .

Sitlani CM, Rice KM, Lumley T, McKnight B, Cupples AL, Avery CL, Noordam R, Stricker BHC, Whitsel EA, Psaty BM. Generalized estimating equations for genome-wide association studies using longitudinal phenotype data. Stat Med. 2015 ;34(1):118-30.

Lopez LM, W Hill D, Harris SE, Hernandez MValdes, Maniega SMunoz, Bastin ME, Bailey E, Smith C, McBride M, McClure J, et al. Genes from a translational analysis support a multifactorial nature of white matter hyperintensities. Stroke. 2015 ;46(2):341-7.

Young WJ, Lahrouchi N, Isaacs A, Duong T, Foco L, Ahmed F, Brody JA, Salman R, Noordam R, Benjamins JW, et al. {Genetic analyses of the electrocardiographic QT interval and its components identify additional loci and pathways. Nat Commun. 2022 ;13:5144.

Hamidovic A, Goodloe RJ, Young TR, Styn MA, Mukamal KJ, Choquet H, Kasberger JL, Buxbaum SG, Papanicolaou GJ, White W, et al. Genetic analysis of a population heavy drinking phenotype identifies risk variants in whites. J Clin Psychopharmacol. 2013 ;33(2):206-10.

Evangelou E, Warren HR, Mosen-Ansorena D, Mifsud B, Pazoki R, Gao H, Ntritsos G, Dimou N, Cabrera CP, Karaman I, et al. Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits. Nat Genet. 2018 ;50(10):1412-1425.

Kumar R, Seibold MA, Aldrich MC, L Williams K, Reiner AP, Colangelo L, Galanter J, Gignoux C, Hu D, Sen S, et al. Genetic ancestry in lung-function predictions. N Engl J Med. 2010 ;363(4):321-30.

Portilla-Fernandez E, Klarin D, Hwang SJ, Biggs ML, Bis JC, Weiss S, Rospleszcz S, Natarajan P, Hoffmann U, Rogers IS, et al. {Genetic and clinical determinants of abdominal aortic diameter: genome-wide association studies, exome array data and Mendelian randomization study. Hum Mol Genet. 2022 ;31:3566–3579.

Kulminski AM, Shu L, Loika Y, He L, Nazarian A, Arbeev K, Ukraintseva S, Yashin A, Culminskaya I. Genetic and regulatory architecture of Alzheimer's disease in the region. Alzheimers Dement (Amst). 2020 ;12(1):e12008.

Young WJ, Haessler J, Benjamins J-W, Repetto L, Yao J, Isaacs A, Harper AR, Ramirez J, Garnier S, Van Duijvenboden S, et al. Genetic architecture of spatial electrical biomarkers for cardiac arrhythmia and relationship with cardiovascular disease. Nat Commun. 2023 ;14(1):1411.

Satizabal CL, Adams HHH, Hibar DP, White CC, Knol MJ, Stein JL, Scholz M, Sargurupremraj M, Jahanshad N, Roshchupkin GV, et al. Genetic architecture of subcortical brain structures in 38,851 individuals. Nat Genet. 2019 ;51(11):1624-1636.

Grasby KL, Jahanshad N, Painter JN, Colodro-Conde L, Bralten J, Hibar DP, Lind PA, Pizzagalli F, Ching CRK, McMahon MAgnes B, et al. The genetic architecture of the human cerebral cortex. Science [Internet]. 2020 ;367(6484):eaay6690. Available from: https://www.sciencemag.org/lookup/doi/10.1126/science.aay6690https://syndication.highwire.org/content/doi/10.1126/science.aay6690https://syndication.highwire.org/content/doi/10.1126/science.aay6690

Liu C-T, Garnaas MK, Tin A, Köttgen A, Franceschini N, Peralta CA, de Boer IH, Lu X, Atkinson E, Ding J, et al. Genetic association for renal traits among participants of African ancestry reveals new loci for renal function. PLoS Genet. 2011 ;7(9):e1002264.

Li X, Bykhovskaya Y, Canedo ALaura Caia, Haritunians T, Siscovick D, Aldave AJ, Szczotka-Flynn L, Iyengar SK, Rotter JI, Taylor KD, et al. Genetic association of COL5A1 variants in keratoconus patients suggests a complex connection between corneal thinning and keratoconus. Invest Ophthalmol Vis Sci. 2013 ;54(4):2696-704.

de Vries PS, Reventun P, Brown MR, Heath AS, Huffman JE, Le NQ, Bebo A, Brody JA, Temprano-Sagrera G, Raffield LM, et al. {A genetic association study of circulating coagulation Factor VIII and von Willebrand Factor levels. Blood. 2024 .

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