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Items: 1 to 50 of 185

1.

The metabolic and proteomic signatures of hypoglycemia in type 2 diabetes.

Halama A, Kahal H, Bhagwat AM, Zierer J, Sathyapalan T, Grauman J, Suhre K, Atkin S.

Diabetes Obes Metab. 2018 Dec 7. doi: 10.1111/dom.13602. [Epub ahead of print]

PMID:
30525282
2.

Genotyping-by-sequencing identifies date palm clone preference in agronomics of the State of Qatar.

Thareja G, Mathew S, Mathew LS, Mohamoud YA, Suhre K, Malek JA.

PLoS One. 2018 Dec 5;13(12):e0207299. doi: 10.1371/journal.pone.0207299. eCollection 2018.

3.

Author Correction: Genus-wide sequencing support a two-locus model for sex-determination in Phoenix.

Torres MF, Mathew LS, Ahmed I, Al-Azwani IK, Krueger R, Rivera-Nuñez D, Mohamoud YA, Clark AG, Suhre K, Malek JA.

Nat Commun. 2018 Dec 3;9(1):5219. doi: 10.1038/s41467-018-07742-5.

4.

Genus-wide sequencing supports a two-locus model for sex-determination in Phoenix.

Torres MF, Mathew LS, Ahmed I, Al-Azwani IK, Krueger R, Rivera-Nuñez D, Mohamoud YA, Clark AG, Suhre K, Malek JA.

Nat Commun. 2018 Sep 28;9(1):3969. doi: 10.1038/s41467-018-06375-y. Erratum in: Nat Commun. 2018 Dec 3;9(1):5219.

5.

Metabolomics profiling of xenobiotics in elite athletes: relevance to supplement consumption.

Al-Khelaifi F, Diboun I, Donati F, Botrè F, Alsayrafi M, Georgakopoulos C, Yousri NA, Suhre K, Elrayess MA.

J Int Soc Sports Nutr. 2018 Sep 27;15(1):48. doi: 10.1186/s12970-018-0254-7.

6.

ProGeM: a framework for the prioritization of candidate causal genes at molecular quantitative trait loci.

Stacey D, Fauman EB, Ziemek D, Sun BB, Harshfield EL, Wood AM, Butterworth AS, Suhre K, Paul DS.

Nucleic Acids Res. 2018 Sep 20. doi: 10.1093/nar/gky837. [Epub ahead of print]

PMID:
30239796
7.

Author Correction: Genome-wide mapping of plasma protein QTLs identifies putatively causal genes and pathways for cardiovascular disease.

Yao C, Chen G, Song C, Keefe J, Mendelson M, Huan T, Sun BB, Laser A, Maranville JC, Wu H, Ho JE, Courchesne P, Lyass A, Larson MG, Gieger C, Graumann J, Johnson AD, Danesh J, Runz H, Hwang SJ, Liu C, Butterworth AS, Suhre K, Levy D.

Nat Commun. 2018 Sep 18;9(1):3853. doi: 10.1038/s41467-018-06231-z.

8.

Genome-wide mapping of plasma protein QTLs identifies putatively causal genes and pathways for cardiovascular disease.

Yao C, Chen G, Song C, Keefe J, Mendelson M, Huan T, Sun BB, Laser A, Maranville JC, Wu H, Ho JE, Courchesne P, Lyass A, Larson MG, Gieger C, Graumann J, Johnson AD, Danesh J, Runz H, Hwang SJ, Liu C, Butterworth AS, Suhre K, Levy D.

Nat Commun. 2018 Aug 15;9(1):3268. doi: 10.1038/s41467-018-05512-x. Erratum in: Nat Commun. 2018 Sep 18;9(1):3853.

9.

Ldlr-/- and ApoE-/- mice better mimic the human metabolite signature of increased carotid intima media thickness compared to other animal models of cardiovascular disease.

Saulnier-Blache JS, Wilson R, Klavins K, Graham D, Alesutan I, Kastenmüller G, Wang-Sattler R, Adamski J, Roden M, Rathmann W, Seissler J, Meisinger C, Koenig W, Thiery J, Suhre K, Peters A, Kuro-O M, Lang F, Dallmann G, Delles C, Voelkl J, Waldenberger M, Bascands JL, Klein J, Schanstra JP.

Atherosclerosis. 2018 Sep;276:140-147. doi: 10.1016/j.atherosclerosis.2018.07.024. Epub 2018 Jul 21.

PMID:
30059845
10.

MoDentify: phenotype-driven module identification in metabolomics networks at different resolutions.

Do KT, Rasp DJN, Kastenmüller G, Suhre K, Krumsiek J.

Bioinformatics. 2018 Jul 19. doi: 10.1093/bioinformatics/bty650. [Epub ahead of print]

PMID:
30032270
11.

A comprehensive metabolomic data set of date palm fruit.

Stephan N, Halama A, Mathew S, Hayat S, Bhagwat A, Mathew LS, Diboun I, Malek J, Suhre K.

Data Brief. 2018 Apr 10;18:1313-1321. doi: 10.1016/j.dib.2018.04.012. eCollection 2018 Jun.

12.

Genomic atlas of the human plasma proteome.

Sun BB, Maranville JC, Peters JE, Stacey D, Staley JR, Blackshaw J, Burgess S, Jiang T, Paige E, Surendran P, Oliver-Williams C, Kamat MA, Prins BP, Wilcox SK, Zimmerman ES, Chi A, Bansal N, Spain SL, Wood AM, Morrell NW, Bradley JR, Janjic N, Roberts DJ, Ouwehand WH, Todd JA, Soranzo N, Suhre K, Paul DS, Fox CS, Plenge RM, Danesh J, Runz H, Butterworth AS.

Nature. 2018 Jun;558(7708):73-79. doi: 10.1038/s41586-018-0175-2. Epub 2018 Jun 6.

PMID:
29875488
13.

Accelerated lipid catabolism and autophagy are cancer survival mechanisms under inhibited glutaminolysis.

Halama A, Kulinski M, Dib SS, Zaghlool SB, Siveen KS, Iskandarani A, Zierer J, Prabhu KS, Satheesh NJ, Bhagwat AM, Uddin S, Kastenmüller G, Elemento O, Gross SS, Suhre K.

Cancer Lett. 2018 Aug 28;430:133-147. doi: 10.1016/j.canlet.2018.05.017. Epub 2018 May 17.

14.

Single nucleotide variant counts computed from RNA sequencing and cellular traffic into human kidney allografts.

Thareja G, Yang H, Hayat S, Mueller FB, Lee JR, Lubetzky M, Dadhania DM, Belkadi A, Seshan SV, Suhre K, Suthanthiran M, Muthukumar T.

Am J Transplant. 2018 Oct;18(10):2429-2442. doi: 10.1111/ajt.14870. Epub 2018 May 15.

PMID:
29659169
15.

Whole-exome sequencing identifies common and rare variant metabolic QTLs in a Middle Eastern population.

Yousri NA, Fakhro KA, Robay A, Rodriguez-Flores JL, Mohney RP, Zeriri H, Odeh T, Kader SA, Aldous EK, Thareja G, Kumar M, Al-Shakaki A, Chidiac OM, Mohamoud YA, Mezey JG, Malek JA, Crystal RG, Suhre K.

Nat Commun. 2018 Jan 23;9(1):333. doi: 10.1038/s41467-017-01972-9.

16.

Deep molecular phenotypes link complex disorders and physiological insult to CpG methylation.

Zaghlool SB, Mook-Kanamori DO, Kader S, Stephan N, Halama A, Engelke R, Sarwath H, Al-Dous EK, Mohamoud YA, Roemisch-Margl W, Adamski J, Kastenmüller G, Friedrich N, Visconti A, Tsai PC, Spector T, Bell JT, Falchi M, Wahl A, Waldenberger M, Peters A, Gieger C, Pezer M, Lauc G, Graumann J, Malek JA, Suhre K.

Hum Mol Genet. 2018 Mar 15;27(6):1106-1121. doi: 10.1093/hmg/ddy006.

17.

A pilot study comparing the metabolic profiles of elite-level athletes from different sporting disciplines.

Al-Khelaifi F, Diboun I, Donati F, Botrè F, Alsayrafi M, Georgakopoulos C, Suhre K, Yousri NA, Elrayess MA.

Sports Med Open. 2018 Jan 5;4(1):2. doi: 10.1186/s40798-017-0114-z.

18.

From Discovery to Translation: Characterization of C-Mannosyltryptophan and Pseudouridine as Markers of Kidney Function.

Sekula P, Dettmer K, Vogl FC, Gronwald W, Ellmann L, Mohney RP, Eckardt KU, Suhre K, Kastenmüller G, Oefner PJ, Köttgen A.

Sci Rep. 2017 Dec 12;7(1):17400. doi: 10.1038/s41598-017-17107-5.

19.

Evidence for Stress-like Alterations in the HPA-Axis in Women Taking Oral Contraceptives.

Hertel J, König J, Homuth G, Van der Auwera S, Wittfeld K, Pietzner M, Kacprowski T, Pfeiffer L, Kretschmer A, Waldenberger M, Kastenmüller G, Artati A, Suhre K, Adamski J, Langner S, Völker U, Völzke H, Nauck M, Friedrich N, Grabe HJ.

Sci Rep. 2017 Oct 26;7(1):14111. doi: 10.1038/s41598-017-13927-7.

20.

pulver: an R package for parallel ultra-rapid p-value computation for linear regression interaction terms.

Molnos S, Baumbach C, Wahl S, Müller-Nurasyid M, Strauch K, Wang-Sattler R, Waldenberger M, Meitinger T, Adamski J, Kastenmüller G, Suhre K, Peters A, Grallert H, Theis FJ, Gieger C.

BMC Bioinformatics. 2017 Sep 29;18(1):429. doi: 10.1186/s12859-017-1838-y.

21.

Phenotype-driven identification of modules in a hierarchical map of multifluid metabolic correlations.

Do KT, Pietzner M, Rasp DJ, Friedrich N, Nauck M, Kocher T, Suhre K, Mook-Kanamori DO, Kastenmüller G, Krumsiek J.

NPJ Syst Biol Appl. 2017 Sep 21;3:28. doi: 10.1038/s41540-017-0029-9. eCollection 2017.

22.

Metabolite ratios as potential biomarkers for type 2 diabetes: a DIRECT study.

Molnos S, Wahl S, Haid M, Eekhoff EMW, Pool R, Floegel A, Deelen J, Much D, Prehn C, Breier M, Draisma HH, van Leeuwen N, Simonis-Bik AMC, Jonsson A, Willemsen G, Bernigau W, Wang-Sattler R, Suhre K, Peters A, Thorand B, Herder C, Rathmann W, Roden M, Gieger C, Kramer MHH, van Heemst D, Pedersen HK, Gudmundsdottir V, Schulze MB, Pischon T, de Geus EJC, Boeing H, Boomsma DI, Ziegler AG, Slagboom PE, Hummel S, Beekman M, Grallert H, Brunak S, McCarthy MI, Gupta R, Pearson ER, Adamski J, 't Hart LM.

Diabetologia. 2018 Jan;61(1):117-129. doi: 10.1007/s00125-017-4436-7. Epub 2017 Oct 25.

23.

Large Scale Metabolic Profiling identifies Novel Steroids linked to Rheumatoid Arthritis.

Yousri NA, Bayoumy K, Elhaq WG, Mohney RP, Emadi SA, Hammoudeh M, Halabi H, Masri B, Badsha H, Uthman I, Plenge R, Saxena R, Suhre K, Arayssi T.

Sci Rep. 2017 Aug 22;7(1):9137. doi: 10.1038/s41598-017-05439-1.

24.

Genetic variants including markers from the exome chip and metabolite traits of type 2 diabetes.

Jäger S, Wahl S, Kröger J, Sharma S, Hoffmann P, Floegel A, Pischon T, Prehn C, Adamski J, Müller-Nurasyid M, Waldenberger M, Strauch K, Peters A, Gieger C, Suhre K, Grallert H, Boeing H, Schulze MB, Meidtner K.

Sci Rep. 2017 Jul 20;7(1):6037. doi: 10.1038/s41598-017-06158-3.

25.

The association between various smoking behaviors, cotinine biomarkers and skin autofluorescence, a marker for advanced glycation end product accumulation.

van Waateringe RP, Mook-Kanamori MJ, Slagter SN, van der Klauw MM, van Vliet-Ostaptchouk JV, Graaff R, Lutgers HL, Suhre K, El-Din Selim MM, Mook-Kanamori DO, Wolffenbuttel BHR.

PLoS One. 2017 Jun 20;12(6):e0179330. doi: 10.1371/journal.pone.0179330. eCollection 2017.

26.

Sex-specific metabolic profiles of androgens and its main binding protein SHBG in a middle aged population without diabetes.

Piontek U, Wallaschofski H, Kastenmüller G, Suhre K, Völzke H, Do KT, Artati A, Nauck M, Adamski J, Friedrich N, Pietzner M.

Sci Rep. 2017 May 22;7(1):2235. doi: 10.1038/s41598-017-02367-y.

27.

Response to Comment on Adam et al. Metformin Effect on Nontargeted Metabolite Profiles in Patients With Type 2 Diabetes and in Multiple Murine Tissues. Diabetes 2016;65:3776-3785.

Adam J, Brandmaier S, Troll M, Rotter M, Mohney RP, Heier M, Adamski J, Li Y, Neschen S, Kastenmüller G, Suhre K, Ankerst D, Meitinger T, Wang-Sattler R.

Diabetes. 2017 May;66(5):e3-e4. doi: 10.2337/dbi17-0010. No abstract available.

28.

Advanced glycation end products among patients maintained on antipsychotics.

Hammoudeh S, Ghuloum S, Mahfoud Z, Yehya A, Mook-Kanamori D, Mook-Kanamori M, Suhre K, Abdulhakam A, Al-Mujalli A, Hani Y, El Sherbiny R, Al-Amin H.

Int Clin Psychopharmacol. 2017 Sep;32(5):256-261. doi: 10.1097/YIC.0000000000000179.

PMID:
28492411
29.

Erratum: Connecting genetic risk to disease end points through the human blood plasma proteome.

Suhre K, Arnold M, Bhagwat AM, Cotton RJ, Engelke R, Raffler J, Sarwath H, Thareja G, Wahl A, DeLisle RK, Gold L, Pezer M, Lauc G, El-Din Selim MA, Mook-Kanamori DO, Al-Dous EK, Mohamoud YA, Malek J, Strauch K, Grallert H, Peters A, Kastenmüller G, Gieger C, Graumann J.

Nat Commun. 2017 Apr 11;8:15345. doi: 10.1038/ncomms15345. No abstract available.

30.

Metabolic network failures in Alzheimer's disease: A biochemical road map.

Toledo JB, Arnold M, Kastenmüller G, Chang R, Baillie RA, Han X, Thambisetty M, Tenenbaum JD, Suhre K, Thompson JW, John-Williams LS, MahmoudianDehkordi S, Rotroff DM, Jack JR, Motsinger-Reif A, Risacher SL, Blach C, Lucas JE, Massaro T, Louie G, Zhu H, Dallmann G, Klavins K, Koal T, Kim S, Nho K, Shen L, Casanova R, Varma S, Legido-Quigley C, Moseley MA, Zhu K, Henrion MYR, van der Lee SJ, Harms AC, Demirkan A, Hankemeier T, van Duijn CM, Trojanowski JQ, Shaw LM, Saykin AJ, Weiner MW, Doraiswamy PM, Kaddurah-Daouk R; Alzheimer's Disease Neuroimaging Initiative and the Alzheimer Disease Metabolomics Consortium.

Alzheimers Dement. 2017 Sep;13(9):965-984. doi: 10.1016/j.jalz.2017.01.020. Epub 2017 Mar 22.

31.

Improvement of myocardial infarction risk prediction via inflammation-associated metabolite biomarkers.

Ward-Caviness CK, Xu T, Aspelund T, Thorand B, Montrone C, Meisinger C, Dunger-Kaltenbach I, Zierer A, Yu Z, Helgadottir IR, Harris TB, Launer LJ, Ganna A, Lind L, Eiriksdottir G, Waldenberger M, Prehn C, Suhre K, Illig T, Adamski J, Ruepp A, Koenig W, Gudnason V, Emilsson V, Wang-Sattler R, Peters A.

Heart. 2017 Aug;103(16):1278-1285. doi: 10.1136/heartjnl-2016-310789. Epub 2017 Mar 2.

32.

Connecting genetic risk to disease end points through the human blood plasma proteome.

Suhre K, Arnold M, Bhagwat AM, Cotton RJ, Engelke R, Raffler J, Sarwath H, Thareja G, Wahl A, DeLisle RK, Gold L, Pezer M, Lauc G, El-Din Selim MA, Mook-Kanamori DO, Al-Dous EK, Mohamoud YA, Malek J, Strauch K, Grallert H, Peters A, Kastenmüller G, Gieger C, Graumann J.

Nat Commun. 2017 Feb 27;8:14357. doi: 10.1038/ncomms14357.

33.

PopPAnTe: population and pedigree association testing for quantitative data.

Visconti A, Al-Shafai M, Al Muftah WA, Zaghlool SB, Mangino M, Suhre K, Falchi M.

BMC Genomics. 2017 Feb 10;18(1):150. doi: 10.1186/s12864-017-3527-7.

34.

Nesting of colon and ovarian cancer cells in the endothelial niche is associated with alterations in glycan and lipid metabolism.

Halama A, Guerrouahen BS, Pasquier J, Satheesh NJ, Suhre K, Rafii A.

Sci Rep. 2017 Jan 4;7:39999. doi: 10.1038/srep39999.

35.

Mendelian inheritance of trimodal CpG methylation sites suggests distal cis-acting genetic effects.

Zaghlool SB, Al-Shafai M, Al Muftah WA, Kumar P, Gieger C, Waldenberger M, Falchi M, Suhre K.

Clin Epigenetics. 2016 Nov 22;8:124. eCollection 2016.

36.

Mutation in noncoding RNA RNU12 causes early onset cerebellar ataxia.

Elsaid MF, Chalhoub N, Ben-Omran T, Kumar P, Kamel H, Ibrahim K, Mohamoud Y, Al-Dous E, Al-Azwani I, Malek JA, Suhre K, Ross ME, Aleem AA.

Ann Neurol. 2017 Jan;81(1):68-78. doi: 10.1002/ana.24826.

PMID:
27863452
37.

Complementarity of SOMAscan to LC-MS/MS and RNA-seq for quantitative profiling of human embryonic and mesenchymal stem cells.

Billing AM, Ben Hamidane H, Bhagwat AM, Cotton RJ, Dib SS, Kumar P, Hayat S, Goswami N, Suhre K, Rafii A, Graumann J.

J Proteomics. 2017 Jan 6;150:86-97. doi: 10.1016/j.jprot.2016.08.023. Epub 2016 Sep 6.

38.

Metabolic Fingerprints of Circulating IGF-1 and the IGF-1/IGFBP-3 Ratio: A Multifluid Metabolomics Study.

Knacke H, Pietzner M, Do KT, Römisch-Margl W, Kastenmüller G, Völker U, Völzke H, Krumsiek J, Artati A, Wallaschofski H, Nauck M, Suhre K, Adamski J, Friedrich N.

J Clin Endocrinol Metab. 2016 Dec;101(12):4730-4742. Epub 2016 Oct 6.

PMID:
27710242
39.

Genome-wide association study of caffeine metabolites provides new insights to caffeine metabolism and dietary caffeine-consumption behavior.

Cornelis MC, Kacprowski T, Menni C, Gustafsson S, Pivin E, Adamski J, Artati A, Eap CB, Ehret G, Friedrich N, Ganna A, Guessous I, Homuth G, Lind L, Magnusson PK, Mangino M, Pedersen NL, Pietzner M, Suhre K, Völzke H; Swiss Kidney Project on Genes in Hypertension (SKIPOGH) team, Bochud M, Spector TD, Grabe HJ, Ingelsson E.

Hum Mol Genet. 2016 Dec 15;25(24):5472-5482. doi: 10.1093/hmg/ddw334.

PMID:
27702941
40.

Metabolomics enables precision medicine: "A White Paper, Community Perspective".

Beger RD, Dunn W, Schmidt MA, Gross SS, Kirwan JA, Cascante M, Brennan L, Wishart DS, Oresic M, Hankemeier T, Broadhurst DI, Lane AN, Suhre K, Kastenmüller G, Sumner SJ, Thiele I, Fiehn O, Kaddurah-Daouk R; for “Precision Medicine and Pharmacometabolomics Task Group”-Metabolomics Society Initiative.

Metabolomics. 2016;12(10):149. Epub 2016 Sep 2.

41.

Metformin Effect on Nontargeted Metabolite Profiles in Patients With Type 2 Diabetes and in Multiple Murine Tissues.

Adam J, Brandmaier S, Leonhardt J, Scheerer MF, Mohney RP, Xu T, Bi J, Rotter M, Troll M, Chi S, Heier M, Herder C, Rathmann W, Giani G, Adamski J, Illig T, Strauch K, Li Y, Gieger C, Peters A, Suhre K, Ankerst D, Meitinger T, Hrabĕ de Angelis M, Roden M, Neschen S, Kastenmüller G, Wang-Sattler R.

Diabetes. 2016 Dec;65(12):3776-3785. Epub 2016 Sep 12.

42.

Characterization of the metabolic profile associated with serum 25-hydroxyvitamin D: a cross-sectional analysis in population-based data.

Vogt S, Wahl S, Kettunen J, Breitner S, Kastenmüller G, Gieger C, Suhre K, Waldenberger M, Kratzsch J, Perola M, Salomaa V, Blankenberg S, Zeller T, Soininen P, Kangas AJ, Peters A, Grallert H, Ala-Korpela M, Thorand B.

Int J Epidemiol. 2016 Oct;45(5):1469-1481. Epub 2016 Sep 7.

43.

Specific Metabolic Markers Are Associated with Future Waist-Gaining Phenotype in Women.

Merz B, Nöthlings U, Wahl S, Haftenberger M, Schienkiewitz A, Adamski J, Suhre K, Wang-Sattler R, Grallert H, Thorand B, Pischon T, Bachlechner U, Floegel A, Peters A, Boeing H.

PLoS One. 2016 Jun 20;11(6):e0157733. doi: 10.1371/journal.pone.0157733. eCollection 2016.

44.

Measurement of 1,5-anhydroglucitol in blood and saliva: from non-targeted metabolomics to biochemical assay.

Halama A, Kulinski M, Kader SA, Satheesh NJ, Abou-Samra AB, Suhre K, Mohammad RM.

J Transl Med. 2016 May 18;14(1):140. doi: 10.1186/s12967-016-0897-6.

45.

The Pharmacogenetic Footprint of ACE Inhibition: A Population-Based Metabolomics Study.

Altmaier E, Menni C, Heier M, Meisinger C, Thorand B, Quell J, Kobl M, Römisch-Margl W, Valdes AM, Mangino M, Waldenberger M, Strauch K, Illig T, Adamski J, Spector T, Gieger C, Suhre K, Kastenmüller G.

PLoS One. 2016 Apr 27;11(4):e0153163. doi: 10.1371/journal.pone.0153163. eCollection 2016.

46.

Genetic Influences on Metabolite Levels: A Comparison across Metabolomic Platforms.

Yet I, Menni C, Shin SY, Mangino M, Soranzo N, Adamski J, Suhre K, Spector TD, Kastenmüller G, Bell JT.

PLoS One. 2016 Apr 13;11(4):e0153672. doi: 10.1371/journal.pone.0153672. eCollection 2016.

47.

Comprehensive transcriptomic and proteomic characterization of human mesenchymal stem cells reveals source specific cellular markers.

Billing AM, Ben Hamidane H, Dib SS, Cotton RJ, Bhagwat AM, Kumar P, Hayat S, Yousri NA, Goswami N, Suhre K, Rafii A, Graumann J.

Sci Rep. 2016 Feb 9;6:21507. doi: 10.1038/srep21507.

48.

Epigenetic associations of type 2 diabetes and BMI in an Arab population.

Al Muftah WA, Al-Shafai M, Zaghlool SB, Visconti A, Tsai PC, Kumar P, Spector T, Bell J, Falchi M, Suhre K.

Clin Epigenetics. 2016 Jan 28;8:13. doi: 10.1186/s13148-016-0177-6. eCollection 2016.

49.

Alterations in Lipid and Inositol Metabolisms in Two Dopaminergic Disorders.

Schulte EC, Altmaier E, Berger HS, Do KT, Kastenmüller G, Wahl S, Adamski J, Peters A, Krumsiek J, Suhre K, Haslinger B, Ceballos-Baumann A, Gieger C, Winkelmann J.

PLoS One. 2016 Jan 25;11(1):e0147129. doi: 10.1371/journal.pone.0147129. eCollection 2016.

50.

Metabolomics profiling reveals novel markers for leukocyte telomere length.

Zierer J, Kastenmüller G, Suhre K, Gieger C, Codd V, Tsai PC, Bell J, Peters A, Strauch K, Schulz H, Weidinger S, Mohney RP, Samani NJ, Spector T, Mangino M, Menni C.

Aging (Albany NY). 2016 Jan;8(1):77-94.

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