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Filters: Keyword is Genetic Predisposition to Disease and Author is Fornage, Myriam [Clear All Filters]

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

A

Schick UM, Auer PL, Bis JC, Lin H, Wei P, Pankratz N, Lange LA, Brody J, Stitziel NO, Kim DS, et al. Association of exome sequences with plasma C-reactive protein levels in >9000 participants. Hum Mol Genet. 2015 ;24(2):559-71.

Zhang L, Spencer KL, V Voruganti S, Jorgensen NW, Fornage M, Best LG, Brown-Gentry KD, Cole SA, Crawford DC, Deelman E, et al. Association of functional polymorphism rs2231142 (Q141K) in the ABCG2 gene with serum uric acid and gout in 4 US populations: the PAGE Study. Am J Epidemiol. 2013 ;177(9):923-32.

E

Cotlarciuc I, Malik R, Holliday EG, Ahmadi KR, Paré G, Psaty BM, Fornage M, Hasan N, Rinne PE, Ikram AM, et al. Effect of genetic variants associated with plasma homocysteine levels on stroke risk. Stroke. 2014 ;45(7):1920-4.

Kurniansyah N, Goodman MO, Khan AT, Wang J, Feofanova E, Bis JC, Wiggins KL, Huffman JE, Kelly T, Elfassy T, et al. Evaluating the use of blood pressure polygenic risk scores across race/ethnic background groups. Nat Commun. 2023 ;14(1):3202.

Liu DJ, Peloso GM, Yu H, Butterworth AS, Wang X, Mahajan A, Saleheen D, Emdin C, Alam D, Alves ACouto, et al. Exome-wide association study of plasma lipids in >300,000 individuals. Nat Genet. 2017 ;49(12):1758-1766.

F

Gong J, Schumacher F, Lim U, Hindorff LA, Haessler J, Buyske S, Carlson CS, Rosse S, Bůzková P, Fornage M, et al. Fine Mapping and Identification of BMI Loci in African Americans. Am J Hum Genet. 2013 ;93(4):661-71.

G

Traylor M, Farrall M, Holliday EG, Sudlow C, Hopewell JC, Cheng Y-C, Fornage M, Ikram AM, Malik R, Bevan S, et al. Genetic risk factors for ischaemic stroke and its subtypes (the METASTROKE collaboration): a meta-analysis of genome-wide association studies. Lancet Neurol. 2012 ;11(11):951-62.

Loth DW, Artigas MSoler, Gharib SA, Wain LV, Franceschini N, Koch B, Pottinger TD, Smith AVernon, Duan Q, Oldmeadow C, et al. Genome-wide association analysis identifies six new loci associated with forced vital capacity. Nat Genet. 2014 ;46(7):669-77.

Cheng Y-C, Stanne TM, Giese A-K, Ho WKee, Traylor M, Amouyel P, Holliday EG, Malik R, Xu H, Kittner SJ, et al. Genome-Wide Association Analysis of Young-Onset Stroke Identifies a Locus on Chromosome 10q25 Near HABP2. Stroke. 2016 ;47(2):307-16.

Fornage M, Debette S, Bis JC, Schmidt H, Ikram AM, Dufouil C, Sigurdsson S, Lumley T, DeStefano AL, Fazekas F, et al. Genome-wide association studies of cerebral white matter lesion burden: the CHARGE consortium. Ann Neurol. 2011 ;69(6):928-39.

Debette S, Bis JC, Fornage M, Schmidt H, Ikram AM, Sigurdsson S, Heiss G, Struchalin M, Smith AV, van der Lugt A, et al. Genome-wide association studies of MRI-defined brain infarcts: meta-analysis from the CHARGE Consortium. Stroke. 2010 ;41(2):210-7.

Ikram AM, Seshadri S, Bis JC, Fornage M, DeStefano AL, Aulchenko YS, Debette S, Lumley T, Folsom AR, van den Herik EG, et al. Genomewide association studies of stroke. N Engl J Med. 2009 ;360(17):1718-28.

Huang J, Huffman JE, Yamakuchi M, Yamkauchi M, Trompet S, Asselbergs FW, Sabater-Lleal M, Trégouët D-A, Chen W-M, Smith NL, et al. Genome-wide association study for circulating tissue plasminogen activator levels and functional follow-up implicates endothelial STXBP5 and STX2. Arterioscler Thromb Vasc Biol. 2014 ;34(5):1093-101.

Hek K, Demirkan A, Lahti J, Terracciano A, Teumer A, Cornelis MC, Amin N, Bakshis E, Baumert J, Ding J, et al. A genome-wide association study of depressive symptoms. Biol Psychiatry. 2013 ;73(7):667-78.

I

Williams FMK, Carter AM, Hysi PG, Surdulescu G, Hodgkiss D, Soranzo N, Traylor M, Bevan S, Dichgans M, Rothwell PMW, et al. Ischemic stroke is associated with the ABO locus: the EuroCLOT study. Ann Neurol. 2013 ;73(1):16-31.

L

Wessel J, Chu AY, Willems SM, Wang S, Yaghootkar H, Brody JA, Dauriz M, Hivert M-F, Raghavan S, Lipovich L, et al. Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility. Nat Commun. 2015 ;6:5897.

M

Kilarski LL, Achterberg S, Devan WJ, Traylor M, Malik R, Lindgren A, Pare G, Sharma P, Slowik A, Thijs V, et al. Meta-analysis in more than 17,900 cases of ischemic stroke reveals a novel association at 12q24.12. Neurology. 2014 ;83(8):678-85.

Carty CL, Keene KL, Cheng Y-C, Meschia JF, Chen W-M, Nalls M, Bis JC, Kittner SJ, Rich SS, Tajuddin S, et al. Meta-Analysis of Genome-Wide Association Studies Identifies Genetic Risk Factors for Stroke in African Americans. Stroke. 2015 ;46(8):2063-8.

Mahajan A, Spracklen CN, Zhang W, C Y Ng M, Petty LE, Kitajima H, Yu GZ, Rüeger S, Speidel L, Kim YJin, et al. Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation. Nat Genet. 2022 ;54(5):560-572.

Sabater-Lleal M, Huang J, Chasman D, Naitza S, Dehghan A, Johnson AD, Teumer A, Reiner AP, Folkersen L, Basu S, et al. Multiethnic meta-analysis of genome-wide association studies in >100 000 subjects identifies 23 fibrinogen-associated Loci but no strong evidence of a causal association between circulating fibrinogen and cardiovascular disease. Circulation. 2013 ;128(12):1310-24.

Kurniansyah N, Goodman MO, Kelly TN, Elfassy T, Wiggins KL, Bis JC, Guo X, Palmas W, Taylor KD, Lin HJ, et al. A multi-ethnic polygenic risk score is associated with hypertension prevalence and progression throughout adulthood. Nat Commun. 2022 ;13(1):3549.

Malik R, Bevan S, Nalls MA, Holliday EG, Devan WJ, Cheng Y-C, Ibrahim-Verbaas CA, Verhaaren BFJ, Bis JC, Joon AY, et al. Multilocus genetic risk score associates with ischemic stroke in case-control and prospective cohort studies. Stroke. 2014 ;45(2):394-402.

N

Elgart M, Lyons G, Romero-Brufau S, Kurniansyah N, Brody JA, Guo X, Lin HJ, Raffield L, Gao Y, Chen H, et al. Non-linear machine learning models incorporating SNPs and PRS improve polygenic prediction in diverse human populations. Commun Biol. 2022 ;5(1):856.

P

Avery CL, He Q, North KE, Ambite JL, Boerwinkle E, Fornage M, Hindorff LA, Kooperberg C, Meigs JB, Pankow JS, et al. A phenomics-based strategy identifies loci on APOC1, BRAP, and PLCG1 associated with metabolic syndrome phenotype domains. PLoS Genet. 2011 ;7(10):e1002322.

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