 Connection
Joanne Cole to Genome-Wide Association Study
This is a "connection" page, showing publications Joanne Cole has written about Genome-Wide Association Study.
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Connection Strength |
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1.304 |
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Cole JB, Manyama M, Kimwaga E, Mathayo J, Larson JR, Liberton DK, Lukowiak K, Ferrara TM, Riccardi SL, Li M, Mio W, Prochazkova M, Williams T, Li H, Jones KL, Klein OD, Santorico SA, Hallgrimsson B, Spritz RA. Genomewide Association Study of African Children Identifies Association of SCHIP1 and PDE8A with Facial Size and Shape. PLoS Genet. 2016 08; 12(8):e1006174.
Score: 0.349
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Westerman KE, Majarian TD, Giulianini F, Jang DK, Miao J, Florez JC, Chen H, Chasman DI, Udler MS, Manning AK, Cole JB. Variance-quantitative trait loci enable systematic discovery of gene-environment interactions for cardiometabolic serum biomarkers. Nat Commun. 2022 07 09; 13(1):3993.
Score: 0.131
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O'Connor MJ, Schroeder P, Huerta-Chagoya A, Cort?s-S?nchez P, Bon?s-Guarch S, Guindo-Mart?nez M, Cole JB, Kaur V, Torrents D, Veerapen K, Grarup N, Kurki M, Rundsten CF, Pedersen O, Brandslund I, Linneberg A, Hansen T, Leong A, Florez JC, Mercader JM. Recessive Genome-Wide Meta-analysis Illuminates Genetic Architecture of Type 2 Diabetes. Diabetes. 2022 03 01; 71(3):554-565.
Score: 0.128
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Westerman KE, Miao J, Chasman DI, Florez JC, Chen H, Manning AK, Cole JB. Genome-wide gene-diet interaction analysis in the UK Biobank identifies novel effects on hemoglobin A1c. Hum Mol Genet. 2021 08 28; 30(18):1773-1783.
Score: 0.123
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Guindo-Mart?nez M, Amela R, Bon?s-Guarch S, Puiggr?s M, Salvoro C, Miguel-Escalada I, Carey CE, Cole JB, R?eger S, Atkinson E, Leong A, Sanchez F, Ramon-Cortes C, Ejarque J, Palmer DS, Kurki M, Aragam K, Florez JC, Badia RM, Mercader JM, Torrents D. The impact of non-additive genetic associations on age-related complex diseases. Nat Commun. 2021 04 23; 12(1):2436.
Score: 0.120
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Cole JB, Florez JC, Hirschhorn JN. Comprehensive genomic analysis of dietary habits in UK Biobank identifies hundreds of genetic associations. Nat Commun. 2020 03 19; 11(1):1467.
Score: 0.112
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Salem RM, Todd JN, Sandholm N, Cole JB, Chen WM, Andrews D, Pezzolesi MG, McKeigue PM, Hiraki LT, Qiu C, Nair V, Di Liao C, Cao JJ, Valo E, Onengut-Gumuscu S, Smiles AM, McGurnaghan SJ, Haukka JK, Harjutsalo V, Brennan EP, van Zuydam N, Ahlqvist E, Doyle R, Ahluwalia TS, Lajer M, Hughes MF, Park J, Skupien J, Spiliopoulou A, Liu A, Menon R, Boustany-Kari CM, Kang HM, Nelson RG, Klein R, Klein BE, Lee KE, Gao X, Mauer M, Maestroni S, Caramori ML, de Boer IH, Miller RG, Guo J, Boright AP, Tregouet D, Gyorgy B, Snell-Bergeon JK, Maahs DM, Bull SB, Canty AJ, Palmer CNA, Stechemesser L, Paulweber B, Weitgasser R, Sokolovska J, Rovite V, Pirags V, Prakapiene E, Radzeviciene L, Verkauskiene R, Panduru NM, Groop LC, McCarthy MI, Gu HF, M?llsten A, Falhammar H, Brismar K, Martin F, Rossing P, Costacou T, Zerbini G, Marre M, Hadjadj S, McKnight AJ, Forsblom C, McKay G, Godson C, Maxwell AP, Kretzler M, Susztak K, Colhoun HM, Krolewski A, Paterson AD, Groop PH, Rich SS, Hirschhorn JN, Florez JC. Genome-Wide Association Study of Diabetic Kidney Disease Highlights Biology Involved in Glomerular Basement Membrane Collagen. J Am Soc Nephrol. 2019 10; 30(10):2000-2016.
Score: 0.108
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Smyth LJ, Dahlstr?m EH, Syreeni A, Kerr K, Kilner J, Doyle R, Brennan E, Nair V, Fermin D, Nelson RG, Looker HC, Wooster C, Andrews D, Anderson K, McKay GJ, Cole JB, Salem RM, Conlon PJ, Kretzler M, Hirschhorn JN, Sadlier D, Godson C, Florez JC, Forsblom C, Maxwell AP, Groop PH, Sandholm N, McKnight AJ. Epigenome-wide meta-analysis identifies DNA methylation biomarkers associated with diabetic kidney disease. Nat Commun. 2022 12 22; 13(1):7891.
Score: 0.034
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Kim H, Westerman KE, Smith K, Chiou J, Cole JB, Majarian T, von Grotthuss M, Kwak SH, Kim J, Mercader JM, Florez JC, Gaulton K, Manning AK, Udler MS. High-throughput genetic clustering of type 2 diabetes loci reveals heterogeneous mechanistic pathways of metabolic disease. Diabetologia. 2023 03; 66(3):495-507.
Score: 0.034
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Dornbos P, Koesterer R, Ruttenburg A, Nguyen T, Cole JB, Leong A, Meigs JB, Florez JC, Rotter JI, Udler MS, Flannick J. A combined polygenic score of 21,293 rare and 22 common variants improves diabetes diagnosis based on hemoglobin A1C levels. Nat Genet. 2022 11; 54(11):1609-1614.
Score: 0.033
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Sandholm N, Cole JB, Nair V, Sheng X, Liu H, Ahlqvist E, van Zuydam N, Dahlstr?m EH, Fermin D, Smyth LJ, Salem RM, Forsblom C, Valo E, Harjutsalo V, Brennan EP, McKay GJ, Andrews D, Doyle R, Looker HC, Nelson RG, Palmer C, McKnight AJ, Godson C, Maxwell AP, Groop L, McCarthy MI, Kretzler M, Susztak K, Hirschhorn JN, Florez JC, Groop PH. Genome-wide meta-analysis and omics integration identifies novel genes associated with diabetic kidney disease. Diabetologia. 2022 09; 65(9):1495-1509.
Score: 0.033
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Leong A, Cole JB, Brenner LN, Meigs JB, Florez JC, Mercader JM. Cardiometabolic risk factors for COVID-19 susceptibility and severity: A Mendelian randomization analysis. PLoS Med. 2021 03; 18(3):e1003553.
Score: 0.030
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Haukka J, Sandholm N, Valo E, Forsblom C, Harjutsalo V, Cole JB, McGurnaghan SJ, Colhoun HM, Groop PH. Novel Linkage Peaks Discovered for Diabetic Nephropathy in Individuals With Type 1 Diabetes. Diabetes. 2021 04; 70(4):986-995.
Score: 0.029
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Udler MS, Kim J, von Grotthuss M, Bon?s-Guarch S, Cole JB, Chiou J, Boehnke M, Laakso M, Atzmon G, Glaser B, Mercader JM, Gaulton K, Flannick J, Getz G, Florez JC. Type 2 diabetes genetic loci informed by multi-trait associations point to disease mechanisms and subtypes: A soft clustering analysis. PLoS Med. 2018 09; 15(9):e1002654.
Score: 0.025
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Jin Y, Birlea SA, Fain PR, Ferrara TM, Ben S, Riccardi SL, Cole JB, Gowan K, Holland PJ, Bennett DC, Luiten RM, Wolkerstorfer A, van der Veen JP, Hartmann A, Eichner S, Schuler G, van Geel N, Lambert J, Kemp EH, Gawkrodger DJ, Weetman AP, Ta?eb A, Jouary T, Ezzedine K, Wallace MR, McCormack WT, Picardo M, Leone G, Overbeck A, Silverberg NB, Spritz RA. Genome-wide association analyses identify 13 new susceptibility loci for generalized vitiligo. Nat Genet. 2012 May 06; 44(6):676-80.
Score: 0.016
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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