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Studenski S, Perera S, Patel K, Rosano C, Faulkner K, Inzitari M, Brach J, Chandler J, Cawthon P, Connor EBarrett, et al. Gait speed and survival in older adults. JAMA. 2011 ;305(1):50-8.

Perera S, Patel KV, Rosano C, Rubin SM, Satterfield S, Harris T, Ensrud K, Orwoll E, Lee CG, Chandler JM, et al. Gait Speed Predicts Incident Disability: A Pooled Analysis. J Gerontol A Biol Sci Med Sci. 2016 ;71(1):63-71.

Brach JS, Studenski SA, Perera S, VanSwearingen JM, Newman AB. Gait variability and the risk of incident mobility disability in community-dwelling older adults. J Gerontol A Biol Sci Med Sci. 2007 ;62(9):983-8.

Brach JS, Berthold R, Craik R, VanSwearingen JM, Newman AB. Gait variability in community-dwelling older adults. J Am Geriatr Soc. 2001 ;49(12):1646-50.

Rosano C, Brach J, Studenski S, Longstreth WT, Newman AB. Gait variability is associated with subclinical brain vascular abnormalities in high-functioning older adults. Neuroepidemiology. 2007 ;29(3-4):193-200.

Bansal N, Katz R, Seliger S, DeFilippi C, Sarnak MJ, Delaney JA, Christenson R, de Boer IH, Kestenbaum B, Robinson-Cohen C, et al. Galectin-3 and Soluble ST2 and Kidney Function Decline in Older Adults: The Cardiovascular Health Study (CHS). Am J Kidney Dis. 2016 ;67(6):994-6.

Fashanu OE, Heckbert SR, Aguilar D, Jensen PN, Ballantyne CM, Basu S, Hoogeveen RC, DeFilippi C, Cushman M, Folsom AR. Galectin-3 and Venous Thromboembolism Incidence: the Atherosclerosis Risk in Communities (ARIC) Study. Res Pract Thromb Haemost. 2017 ;1(2):223-230.

Gardner M, Bann D, Wiley L, Cooper R, Hardy R, Nitsch D, Martin-Ruiz C, Shiels P, Sayer AA, Barbieri M, et al. Gender and telomere length: systematic review and meta-analysis. Exp Gerontol. 2014 ;51:15-27.

Zhang Z-M, Prineas RJ, Case D, Psaty BM, Suzuki T, Burke GL. Gender differences between the Minnesota code and Novacode electrocardiographic prognostication of coronary heart disease in the cardiovascular health study. Am J Cardiol. 2011 ;107(6):817-820.e1.

Arab L, Biggs ML, O'Meara ES, Longstreth WT, Crane PK, Fitzpatrick AL. Gender differences in tea, coffee, and cognitive decline in the elderly: the Cardiovascular Health Study. J Alzheimers Dis. 2011 ;27(3):553-66.

Suchy-Dicey A, Heckbert SR, Smith NL, McKnight B, Rotter JI, Chen YIda, Psaty BM, Enquobahrie DA. Gene expression in thiazide diuretic or statin users in relation to incident type 2 diabetes. Int J Mol Epidemiol Genet. 2014 ;5(1):22-30.

Sobrin L, Susarla G, Stanwyck L, Rouhana JM, Li A, Pollack S, Igo RP, Jensen RA, Li X, Ng MCY, et al. {Gene Set Enrichment Analsyes Identify Pathways Involved in Genetic Risk for Diabetic Retinopathy. Am J Ophthalmol. 2022 ;233:111–123.

Luke MM, O'Meara ES, Rowland CM, Shiffman D, Bare LA, Arellano AR, Longstreth WT, Lumley T, Rice K, Tracy RP, et al. Gene variants associated with ischemic stroke: the cardiovascular health study. Stroke. 2009 ;40(2):363-8.

Nettleton JA, Follis JL, Ngwa JS, Smith CE, Ahmad S, Tanaka T, Wojczynski MK, Voortman T, Lemaitre RN, Kristiansson K, et al. Gene × dietary pattern interactions in obesity: analysis of up to 68 317 adults of European ancestry. Hum Mol Genet. 2015 ;24(16):4728-38.

Simino J, Shi G, Bis JC, Chasman DI, Ehret GB, Gu X, Guo X, Hwang S-J, Sijbrands E, Smith AV, et al. Gene-age interactions in blood pressure regulation: a large-scale investigation with the CHARGE, Global BPgen, and ICBP Consortia. Am J Hum Genet. 2014 ;95(1):24-38.

Tang W, Cushman M, Green D, Rich SS, Lange LA, Yang Q, Tracy RP, Tofler GH, Basu S, Wilson JG, et al. Gene-centric approach identifies new and known loci for FVIII activity and VWF antigen levels in European Americans and African Americans. Am J Hematol. 2015 ;90(6):534-40.

Taylor KC, Lange LA, Zabaneh D, Lange E, Keating BJ, Tang W, Smith NL, Delaney JA, Kumari M, Hingorani A, et al. A gene-centric association scan for Coagulation Factor VII levels in European and African Americans: the Candidate Gene Association Resource (CARe) Consortium. Hum Mol Genet. 2011 ;20(17):3525-34.

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.

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