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Items: 1 to 20 of 131

1.

Coexpression network analysis in abdominal and gluteal adipose tissue reveals regulatory genetic loci for metabolic syndrome and related phenotypes.

Min JL, Nicholson G, Halgrimsdottir I, Almstrup K, Petri A, Barrett A, Travers M, Rayner NW, Mägi R, Pettersson FH, Broxholme J, Neville MJ, Wills QF, Cheeseman J; GIANT Consortium; MolPAGE Consortium, Allen M, Holmes CC, Spector TD, Fleckner J, McCarthy MI, Karpe F, Lindgren CM, Zondervan KT.

PLoS Genet. 2012;8(2):e1002505. doi: 10.1371/journal.pgen.1002505. Epub 2012 Feb 23.

2.

MicroRNA expression in abdominal and gluteal adipose tissue is associated with mRNA expression levels and partly genetically driven.

Rantalainen M, Herrera BM, Nicholson G, Bowden R, Wills QF, Min JL, Neville MJ, Barrett A, Allen M, Rayner NW, Fleckner J, McCarthy MI, Zondervan KT, Karpe F, Holmes CC, Lindgren CM.

PLoS One. 2011;6(11):e27338. doi: 10.1371/journal.pone.0027338. Epub 2011 Nov 15.

3.

Mapping adipose and muscle tissue expression quantitative trait loci in African Americans to identify genes for type 2 diabetes and obesity.

Sajuthi SP, Sharma NK, Chou JW, Palmer ND, McWilliams DR, Beal J, Comeau ME, Ma L, Calles-Escandon J, Demons J, Rogers S, Cherry K, Menon L, Kouba E, Davis D, Burris M, Byerly SJ, Ng MC, Maruthur NM, Patel SR, Bielak LF, Lange LA, Guo X, Sale MM, Chan KH, Monda KL, Chen GK, Taylor K, Palmer C, Edwards TL, North KE, Haiman CA, Bowden DW, Freedman BI, Langefeld CD, Das SK.

Hum Genet. 2016 Aug;135(8):869-80. doi: 10.1007/s00439-016-1680-8. Epub 2016 May 19.

4.

Pleiotropic genes for metabolic syndrome and inflammation.

Kraja AT, Chasman DI, North KE, Reiner AP, Yanek LR, Kilpeläinen TO, Smith JA, Dehghan A, Dupuis J, Johnson AD, Feitosa MF, Tekola-Ayele F, Chu AY, Nolte IM, Dastani Z, Morris A, Pendergrass SA, Sun YV, Ritchie MD, Vaez A, Lin H, Ligthart S, Marullo L, Rohde R, Shao Y, Ziegler MA, Im HK; Cross Consortia Pleiotropy Group; Cohorts for Heart and; Aging Research in Genetic Epidemiology; Genetic Investigation of Anthropometric Traits Consortium; Global Lipids Genetics Consortium; Meta-Analyses of Glucose; Insulin-related traits Consortium; Global BPgen Consortium; ADIPOGen Consortium; Women's Genome Health Study; Howard University Family Study, Schnabel RB, Jørgensen T, Jørgensen ME, Hansen T, Pedersen O, Stolk RP, Snieder H, Hofman A, Uitterlinden AG, Franco OH, Ikram MA, Richards JB, Rotimi C, Wilson JG, Lange L, Ganesh SK, Nalls M, Rasmussen-Torvik LJ, Pankow JS, Coresh J, Tang W, Linda Kao WH, Boerwinkle E, Morrison AC, Ridker PM, Becker DM, Rotter JI, Kardia SL, Loos RJ, Larson MG, Hsu YH, Province MA, Tracy R, Voight BF, Vaidya D, O'Donnell CJ, Benjamin EJ, Alizadeh BZ, Prokopenko I, Meigs JB, Borecki IB.

Mol Genet Metab. 2014 Aug;112(4):317-38. doi: 10.1016/j.ymgme.2014.04.007. Epub 2014 May 9.

5.

Genetic Regulation of Adipose Gene Expression and Cardio-Metabolic Traits.

Civelek M, Wu Y, Pan C, Raulerson CK, Ko A, He A, Tilford C, Saleem NK, Stančáková A, Scott LJ, Fuchsberger C, Stringham HM, Jackson AU, Narisu N, Chines PS, Small KS, Kuusisto J, Parks BW, Pajukanta P, Kirchgessner T, Collins FS, Gargalovic PS, Boehnke M, Laakso M, Mohlke KL, Lusis AJ.

Am J Hum Genet. 2017 Mar 2;100(3):428-443. doi: 10.1016/j.ajhg.2017.01.027.

6.

Genome-wide screen for metabolic syndrome susceptibility Loci reveals strong lipid gene contribution but no evidence for common genetic basis for clustering of metabolic syndrome traits.

Kristiansson K, Perola M, Tikkanen E, Kettunen J, Surakka I, Havulinna AS, Stancáková A, Barnes C, Widen E, Kajantie E, Eriksson JG, Viikari J, Kähönen M, Lehtimäki T, Raitakari OT, Hartikainen AL, Ruokonen A, Pouta A, Jula A, Kangas AJ, Soininen P, Ala-Korpela M, Männistö S, Jousilahti P, Bonnycastle LL, Järvelin MR, Kuusisto J, Collins FS, Laakso M, Hurles ME, Palotie A, Peltonen L, Ripatti S, Salomaa V.

Circ Cardiovasc Genet. 2012 Apr 1;5(2):242-9. doi: 10.1161/CIRCGENETICS.111.961482. Epub 2012 Mar 7.

7.

Genome wide meta-analysis highlights the role of genetic variation in RARRES2 in the regulation of circulating serum chemerin.

Tönjes A, Scholz M, Breitfeld J, Marzi C, Grallert H, Gross A, Ladenvall C, Schleinitz D, Krause K, Kirsten H, Laurila E, Kriebel J, Thorand B, Rathmann W, Groop L, Prokopenko I, Isomaa B, Beutner F, Kratzsch J, Thiery J, Fasshauer M, Klöting N, Gieger C, Blüher M, Stumvoll M, Kovacs P.

PLoS Genet. 2014 Dec 18;10(12):e1004854. doi: 10.1371/journal.pgen.1004854. eCollection 2014 Dec.

8.

Airway Epithelial Expression Quantitative Trait Loci Reveal Genes Underlying Asthma and Other Airway Diseases.

Luo W, Obeidat M, Di Narzo AF, Chen R, Sin DD, Paré PD, Hao K.

Am J Respir Cell Mol Biol. 2016 Feb;54(2):177-87. doi: 10.1165/rcmb.2014-0381OC.

9.

Identification of three genetic variants as novel susceptibility loci for body mass index in a Japanese population.

Yasukochi Y, Sakuma J, Takeuchi I, Kato K, Oguri M, Fujimaki T, Horibe H, Yamada Y.

Physiol Genomics. 2018 Mar 1;50(3):179-189. doi: 10.1152/physiolgenomics.00117.2017. Epub 2018 Jan 12.

10.

An integrative systems genetics approach reveals potential causal genes and pathways related to obesity.

Kogelman LJ, Zhernakova DV, Westra HJ, Cirera S, Fredholm M, Franke L, Kadarmideen HN.

Genome Med. 2015 Oct 20;7:105. doi: 10.1186/s13073-015-0229-0.

11.

Integromic analysis of genetic variation and gene expression identifies networks for cardiovascular disease phenotypes.

Yao C, Chen BH, Joehanes R, Otlu B, Zhang X, Liu C, Huan T, Tastan O, Cupples LA, Meigs JB, Fox CS, Freedman JE, Courchesne P, O'Donnell CJ, Munson PJ, Keles S, Levy D.

Circulation. 2015 Feb 10;131(6):536-49. doi: 10.1161/CIRCULATIONAHA.114.010696. Epub 2014 Dec 22. Erratum in: Circulation. 2015 May 12;131(19):e474.

12.

Epigenome-wide association in adipose tissue from the METSIM cohort.

Orozco LD, Farrell C, Hale C, Rubbi L, Rinaldi A, Civelek M, Pan C, Lam L, Montoya D, Edillor C, Seldin M, Boehnke M, Mohlke KL, Jacobsen S, Kuusisto J, Laakso M, Lusis AJ, Pellegrini M.

Hum Mol Genet. 2018 May 15;27(10):1830-1846. doi: 10.1093/hmg/ddy093. Erratum in: Hum Mol Genet. 2018 Jul 15;27(14):2586.

13.

Integrated genome-wide association, coexpression network, and expression single nucleotide polymorphism analysis identifies novel pathway in allergic rhinitis.

Bunyavanich S, Schadt EE, Himes BE, Lasky-Su J, Qiu W, Lazarus R, Ziniti JP, Cohain A, Linderman M, Torgerson DG, Eng CS, Pino-Yanes M, Padhukasahasram B, Yang JJ, Mathias RA, Beaty TH, Li X, Graves P, Romieu I, Navarro Bdel R, Salam MT, Vora H, Nicolae DL, Ober C, Martinez FD, Bleecker ER, Meyers DA, Gauderman WJ, Gilliland F, Burchard EG, Barnes KC, Williams LK, London SJ, Zhang B, Raby BA, Weiss ST.

BMC Med Genomics. 2014 Aug 2;7:48. doi: 10.1186/1755-8794-7-48.

14.

The use of genome-wide eQTL associations in lymphoblastoid cell lines to identify novel genetic pathways involved in complex traits.

Min JL, Taylor JM, Richards JB, Watts T, Pettersson FH, Broxholme J, Ahmadi KR, Surdulescu GL, Lowy E, Gieger C, Newton-Cheh C, Perola M, Soranzo N, Surakka I, Lindgren CM, Ragoussis J, Morris AP, Cardon LR, Spector TD, Zondervan KT.

PLoS One. 2011;6(7):e22070. doi: 10.1371/journal.pone.0022070. Epub 2011 Jul 15.

15.

Integrated genome-wide analysis of expression quantitative trait loci aids interpretation of genomic association studies.

Joehanes R, Zhang X, Huan T, Yao C, Ying SX, Nguyen QT, Demirkale CY, Feolo ML, Sharopova NR, Sturcke A, Schäffer AA, Heard-Costa N, Chen H, Liu PC, Wang R, Woodhouse KA, Tanriverdi K, Freedman JE, Raghavachari N, Dupuis J, Johnson AD, O'Donnell CJ, Levy D, Munson PJ.

Genome Biol. 2017 Jan 25;18(1):16. doi: 10.1186/s13059-016-1142-6.

16.

Adipose co-expression networks across Finns and Mexicans identify novel triglyceride-associated genes.

Haas BE, Horvath S, Pietiläinen KH, Cantor RM, Nikkola E, Weissglas-Volkov D, Rissanen A, Civelek M, Cruz-Bautista I, Riba L, Kuusisto J, Kaprio J, Tusie-Luna T, Laakso M, Aguilar-Salinas CA, Pajukanta P.

BMC Med Genomics. 2012 Dec 6;5:61. doi: 10.1186/1755-8794-5-61.

17.

Global analysis of DNA methylation variation in adipose tissue from twins reveals links to disease-associated variants in distal regulatory elements.

Grundberg E, Meduri E, Sandling JK, Hedman AK, Keildson S, Buil A, Busche S, Yuan W, Nisbet J, Sekowska M, Wilk A, Barrett A, Small KS, Ge B, Caron M, Shin SY; Multiple Tissue Human Expression Resource Consortium, Lathrop M, Dermitzakis ET, McCarthy MI, Spector TD, Bell JT, Deloukas P.

Am J Hum Genet. 2013 Nov 7;93(5):876-90. doi: 10.1016/j.ajhg.2013.10.004. Epub 2013 Oct 31. Erratum in: Am J Hum Genet. 2013 Dec 5;93(6):1158.

18.

Genomic, transcriptomic, and lipidomic profiling highlights the role of inflammation in individuals with low high-density lipoprotein cholesterol.

Laurila PP, Surakka I, Sarin AP, Yetukuri L, Hyötyläinen T, Söderlund S, Naukkarinen J, Tang J, Kettunen J, Mirel DB, Soronen J, Lehtimäki T, Ruokonen A, Ehnholm C, Eriksson JG, Salomaa V, Jula A, Raitakari OT, Järvelin MR, Palotie A, Peltonen L, Oresic M, Jauhiainen M, Taskinen MR, Ripatti S.

Arterioscler Thromb Vasc Biol. 2013 Apr;33(4):847-57. doi: 10.1161/ATVBAHA.112.300733. Epub 2013 Feb 14.

PMID:
23413431
19.

Genetic regulation of differentially methylated genes in visceral adipose tissue of severely obese men discordant for the metabolic syndrome.

Guénard F, Tchernof A, Deshaies Y, Biron S, Lescelleur O, Biertho L, Marceau S, Pérusse L, Vohl MC.

Transl Res. 2017 Jun;184:1-11.e2. doi: 10.1016/j.trsl.2017.01.002. Epub 2017 Feb 2.

PMID:
28219716
20.

Identification of common regulators of genes in co-expression networks affecting muscle and meat properties.

Ponsuksili S, Siengdee P, Du Y, Trakooljul N, Murani E, Schwerin M, Wimmers K.

PLoS One. 2015 Apr 14;10(4):e0123678. doi: 10.1371/journal.pone.0123678. eCollection 2015.

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