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Items: 1 to 50 of 192

1.

What is 'LDL cholesterol'?

Holmes MV, Ala-Korpela M.

Nat Rev Cardiol. 2019 Jan 30. doi: 10.1038/s41569-019-0157-6. [Epub ahead of print] No abstract available.

PMID:
30700860
2.

Proof of concept for quantitative urine NMR metabolomics pipeline for large-scale epidemiology and genetics.

Tynkkynen T, Wang Q, Ekholm J, Anufrieva O, Ohukainen P, Vepsäläinen J, Männikkö M, Keinänen-Kiukaanniemi S, Holmes MV, Goodwin M, Ring S, Chambers JC, Kooner J, Järvelin MR, Kettunen J, Hill M, Davey Smith G, Ala-Korpela M.

Int J Epidemiol. 2019 Jan 25. doi: 10.1093/ije/dyy287. [Epub ahead of print]

PMID:
30689875
3.

The effect of apolipoprotein E polymorphism on serum metabolome - a population-based 10-year follow-up study.

Karjalainen JP, Mononen N, Hutri-Kähönen N, Lehtimäki M, Juonala M, Ala-Korpela M, Kähönen M, Raitakari O, Lehtimäki T.

Sci Rep. 2019 Jan 24;9(1):458. doi: 10.1038/s41598-018-36450-9.

4.

Biomarker Glycoprotein Acetyls Is Associated With the Risk of a Wide Spectrum of Incident Diseases and Stratifies Mortality Risk in Angiography Patients.

Kettunen J, Ritchie SC, Anufrieva O, Lyytikäinen LP, Hernesniemi J, Karhunen PJ, Kuukasjärvi P, Laurikka J, Kähönen M, Lehtimäki T, Havulinna AS, Salomaa V, Männistö S, Ala-Korpela M, Perola M, Inouye M, Würtz P.

Circ Genom Precis Med. 2018 Nov;11(11):e002234. doi: 10.1161/CIRCGEN.118.002234.

PMID:
30571186
5.

Metabolomic consequences of genetic inhibition of PCSK9 compared with statin treatment.

Sliz E, Kettunen J, Holmes MV, Williams CO, Boachie C, Wang Q, Männikkö M, Sebert S, Walters R, Lin K, Millwood IY, Clarke R, Li L, Rankin N, Welsh P, Delles C, Jukema JW, Trompet S, Ford I, Perola M, Salomaa V, Järvelin MR, Chen Z, Lawlor DA, Ala-Korpela M, Danesh J, Davey Smith G, Sattar N, Butterworth A, Würtz P.

Circulation. 2018 Nov 27;138(22):2499-2512. doi: 10.1161/CIRCULATIONAHA.118.034942. Epub 2018 Aug 15.

PMID:
30524137
6.

Metabolomic Consequences of Genetic Inhibition of PCSK9 Compared With Statin Treatment

Sliz E, Kettunen J, Holmes MV, Williams CO, Boachie C, Wang Q, Männikkö M, Sebert S, Walters R, Lin K, Millwood LY, Clarke R, Li L, Rankin N, Welsh P, Delles C, Jukema JW, Trompet S, Ford I, Perola M, Salomaa V, Järvelin MR, Chen Z, Lawlor DA, Ala-Korpela M, Danesh J, Smith GD, Sattar N, Butterworth A, Würtz P.

Circulation. 2018 Nov 27;138(22):2499–2512.

PMID:
30525347
7.

Investigating the effects of lycopene and green tea on the metabolome of men at risk of prostate cancer: The ProDiet randomised controlled trial.

Beynon RA, Richmond RC, Santos Ferreira DL, Ness AR, May M, Smith GD, Vincent EE, Adams C, Ala-Korpela M, Würtz P, Soidinsalo S, Metcalfe C, Donovan JL, Lane AJ, Martin RM; ProtecT Study Group; PRACTICAL consortium.

Int J Cancer. 2019 Apr 15;144(8):1918-1928. doi: 10.1002/ijc.31929. Epub 2018 Dec 7.

PMID:
30325021
8.

Circulating metabolic biomarkers of renal function in diabetic and non-diabetic populations.

Barrios C, Zierer J, Würtz P, Haller T, Metspalu A, Gieger C, Thorand B, Meisinger C, Waldenberger M, Raitakari O, Lehtimäki T, Otero S, Rodríguez E, Pedro-Botet J, Kähönen M, Ala-Korpela M, Kastenmüller G, Spector TD, Pascual J, Menni C.

Sci Rep. 2018 Oct 15;8(1):15249. doi: 10.1038/s41598-018-33507-7.

9.

Cognition, psychosis risk and metabolic measures in two adolescent birth cohorts - CORRIGENDUM.

Ramsay H, Barnett JH, Murray GK, Miettunen J, Mäki P, Järvelin MR, Smith GD, Ala-Korpela M, Veijola J.

Psychol Med. 2018 Nov;48(15):2628. doi: 10.1017/S0033291718002192. Epub 2018 Aug 30. No abstract available.

PMID:
30157972
10.

Cognition, psychosis risk and metabolic measures in two adolescent birth cohorts.

Ramsay H, Barnett JH, Murray GK, Miettunen J, Mäki P, Järvelin MR, Smith GD, Ala-Korpela M, Veijola J.

Psychol Med. 2018 Nov;48(15):2609-2623. doi: 10.1017/S0033291718001794. Epub 2018 Jul 24.

PMID:
30039772
11.

Association of circulating metabolites with healthy diet and risk of cardiovascular disease: analysis of two cohort studies.

Akbaraly T, Würtz P, Singh-Manoux A, Shipley MJ, Haapakoski R, Lehto M, Desrumaux C, Kähönen M, Lehtimäki T, Mikkilä V, Hingorani A, Humphries SE, Kangas AJ, Soininen P, Raitakari O, Ala-Korpela M, Kivimäki M.

Sci Rep. 2018 Jun 5;8(1):8620. doi: 10.1038/s41598-018-26441-1.

12.

Circulating amino acids and the risk of macrovascular, microvascular and mortality outcomes in individuals with type 2 diabetes: results from the ADVANCE trial.

Welsh P, Rankin N, Li Q, Mark PB, Würtz P, Ala-Korpela M, Marre M, Poulter N, Hamet P, Chalmers J, Woodward M, Sattar N.

Diabetologia. 2018 Jul;61(7):1581-1591. doi: 10.1007/s00125-018-4619-x. Epub 2018 May 4.

13.

NAFLD risk alleles in PNPLA3, TM6SF2, GCKR and LYPLAL1 show divergent metabolic effects.

Sliz E, Sebert S, Würtz P, Kangas AJ, Soininen P, Lehtimäki T, Kähönen M, Viikari J, Männikkö M, Ala-Korpela M, Raitakari OT, Kettunen J.

Hum Mol Genet. 2018 Jun 15;27(12):2214-2223. doi: 10.1093/hmg/ddy124.

14.

Association of branched-chain amino acids and other circulating metabolites with risk of incident dementia and Alzheimer's disease: A prospective study in eight cohorts.

Tynkkynen J, Chouraki V, van der Lee SJ, Hernesniemi J, Yang Q, Li S, Beiser A, Larson MG, Sääksjärvi K, Shipley MJ, Singh-Manoux A, Gerszten RE, Wang TJ, Havulinna AS, Würtz P, Fischer K, Demirkan A, Ikram MA, Amin N, Lehtimäki T, Kähönen M, Perola M, Metspalu A, Kangas AJ, Soininen P, Ala-Korpela M, Vasan RS, Kivimäki M, van Duijn CM, Seshadri S, Salomaa V.

Alzheimers Dement. 2018 Jun;14(6):723-733. doi: 10.1016/j.jalz.2018.01.003. Epub 2018 Mar 6.

15.

Identification of seven novel loci associated with amino acid levels using single-variant and gene-based tests in 8545 Finnish men from the METSIM study.

Teslovich TM, Kim DS, Yin X, Stancáková A, Jackson AU, Wielscher M, Naj A, Perry JRB, Huyghe JR, Stringham HM, Davis JP, Raulerson CK, Welch RP, Fuchsberger C, Locke AE, Sim X, Chines PS, Narisu N, Kangas AJ, Soininen P; Genetics of Obesity-Related Liver Disease Consortium (GOLD), The Alzheimer's Disease Genetics Consortium (ADGC), The DIAbetes Genetics Replication And Meta-analysis (DIAGRAM), Ala-Korpela M, Gudnason V, Musani SK, Jarvelin MR, Schellenberg GD, Speliotes EK, Kuusisto J, Collins FS, Boehnke M, Laakso M, Mohlke KL.

Hum Mol Genet. 2018 May 1;27(9):1664-1674. doi: 10.1093/hmg/ddy067.

PMID:
29481666
16.

Lipids, Lipoproteins, and Metabolites and Risk of Myocardial Infarction and Stroke.

Holmes MV, Millwood IY, Kartsonaki C, Hill MR, Bennett DA, Boxall R, Guo Y, Xu X, Bian Z, Hu R, Walters RG, Chen J, Ala-Korpela M, Parish S, Clarke RJ, Peto R, Collins R, Li L, Chen Z; China Kadoorie Biobank Collaborative Group.

J Am Coll Cardiol. 2018 Feb 13;71(6):620-632. doi: 10.1016/j.jacc.2017.12.006.

17.

Metabolic characterization of menopause: cross-sectional and longitudinal evidence.

Wang Q, Ferreira DLS, Nelson SM, Sattar N, Ala-Korpela M, Lawlor DA.

BMC Med. 2018 Feb 6;16(1):17. doi: 10.1186/s12916-018-1008-8.

18.

Effect of Dietary Counseling on a Comprehensive Metabolic Profile from Childhood to Adulthood.

Lehtovirta M, Pahkala K, Niinikoski H, Kangas AJ, Soininen P, Lagström H, Viikari JSA, Rönnemaa T, Jula A, Ala-Korpela M, Würtz P, Raitakari OT.

J Pediatr. 2018 Apr;195:190-198.e3. doi: 10.1016/j.jpeds.2017.11.057. Epub 2018 Feb 1.

19.

Nuclear magnetic resonance-based metabolomics identifies phenylalanine as a novel predictor of incident heart failure hospitalisation: results from PROSPER and FINRISK 1997.

Delles C, Rankin NJ, Boachie C, McConnachie A, Ford I, Kangas A, Soininen P, Trompet S, Mooijaart SP, Jukema JW, Zannad F, Ala-Korpela M, Salomaa V, Havulinna AS, Welsh P, Würtz P, Sattar N.

Eur J Heart Fail. 2018 Apr;20(4):663-673. doi: 10.1002/ejhf.1076. Epub 2017 Dec 11.

20.

DHA mediates the protective effect of fish consumption on new episodes of depression among women.

Reeves JL, Otahal P, Magnussen CG, Dwyer T, Kangas AJ, Soininen P, Ala-Korpela M, Venn AJ, Smith KJ.

Br J Nutr. 2017 Nov;118(9):743-749. doi: 10.1017/S0007114517002768.

PMID:
29185935
21.

Quantitative Serum Nuclear Magnetic Resonance Metabolomics in Large-Scale Epidemiology: A Primer on -Omic Technologies.

Würtz P, Kangas AJ, Soininen P, Lawlor DA, Davey Smith G, Ala-Korpela M.

Am J Epidemiol. 2017 Nov 1;186(9):1084-1096. doi: 10.1093/aje/kwx016. Review.

22.

Common, low-frequency, and rare genetic variants associated with lipoprotein subclasses and triglyceride measures in Finnish men from the METSIM study.

Davis JP, Huyghe JR, Locke AE, Jackson AU, Sim X, Stringham HM, Teslovich TM, Welch RP, Fuchsberger C, Narisu N, Chines PS, Kangas AJ, Soininen P, Ala-Korpela M, Kuusisto J, Collins FS, Laakso M, Boehnke M, Mohlke KL.

PLoS Genet. 2017 Oct 30;13(10):e1007079. doi: 10.1371/journal.pgen.1007079. eCollection 2017 Oct.

23.

Genetic Support for a Causal Role of Insulin Resistance on Circulating Branched-Chain Amino Acids and Inflammation.

Wang Q, Holmes MV, Davey Smith G, Ala-Korpela M.

Diabetes Care. 2017 Dec;40(12):1779-1786. doi: 10.2337/dc17-1642. Epub 2017 Oct 18.

24.

Objective Metabolomics Research.

Ala-Korpela M.

Clin Chem. 2018 Jan;64(1):30-33. doi: 10.1373/clinchem.2017.274852. Epub 2017 Oct 16. No abstract available.

25.

Differential Associations of Inflammatory Markers With Insulin Sensitivity and Secretion: The Prospective METSIM Study.

Fizelova M, Jauhiainen R, Kangas AJ, Soininen P, Ala-Korpela M, Kuusisto J, Laakso M, Stancáková A.

J Clin Endocrinol Metab. 2017 Sep 1;102(9):3600-3609. doi: 10.1210/jc.2017-01057.

26.

Association of pre-pregnancy body mass index with offspring metabolic profile: Analyses of 3 European prospective birth cohorts.

Santos Ferreira DL, Williams DM, Kangas AJ, Soininen P, Ala-Korpela M, Smith GD, Jarvelin MR, Lawlor DA.

PLoS Med. 2017 Aug 22;14(8):e1002376. doi: 10.1371/journal.pmed.1002376. eCollection 2017 Aug.

27.

An interaction map of circulating metabolites, immune gene networks, and their genetic regulation.

Nath AP, Ritchie SC, Byars SG, Fearnley LG, Havulinna AS, Joensuu A, Kangas AJ, Soininen P, Wennerström A, Milani L, Metspalu A, Männistö S, Würtz P, Kettunen J, Raitoharju E, Kähönen M, Juonala M, Palotie A, Ala-Korpela M, Ripatti S, Lehtimäki T, Abraham G, Raitakari O, Salomaa V, Perola M, Inouye M.

Genome Biol. 2017 Aug 1;18(1):146. doi: 10.1186/s13059-017-1279-y.

28.

Trans-ancestry Fine Mapping and Molecular Assays Identify Regulatory Variants at the ANGPTL8 HDL-C GWAS Locus.

Cannon ME, Duan Q, Wu Y, Zeynalzadeh M, Xu Z, Kangas AJ, Soininen P, Ala-Korpela M, Civelek M, Lusis AJ, Kuusisto J, Collins FS, Boehnke M, Tang H, Laakso M, Li Y, Mohlke KL.

G3 (Bethesda). 2017 Sep 7;7(9):3217-3227. doi: 10.1534/g3.117.300088.

29.

Experimental and Human Evidence for Lipocalin-2 (Neutrophil Gelatinase-Associated Lipocalin [NGAL]) in the Development of Cardiac Hypertrophy and heart failure.

Marques FZ, Prestes PR, Byars SG, Ritchie SC, Würtz P, Patel SK, Booth SA, Rana I, Minoda Y, Berzins SP, Curl CL, Bell JR, Wai B, Srivastava PM, Kangas AJ, Soininen P, Ruohonen S, Kähönen M, Lehtimäki T, Raitoharju E, Havulinna A, Perola M, Raitakari O, Salomaa V, Ala-Korpela M, Kettunen J, McGlynn M, Kelly J, Wlodek ME, Lewandowski PA, Delbridge LM, Burrell LM, Inouye M, Harrap SB, Charchar FJ.

J Am Heart Assoc. 2017 Jun 14;6(6). pii: e005971. doi: 10.1161/JAHA.117.005971.

30.

Mendelian randomization in cardiometabolic disease: challenges in evaluating causality.

Holmes MV, Ala-Korpela M, Smith GD.

Nat Rev Cardiol. 2017 Oct;14(10):577-590. doi: 10.1038/nrcardio.2017.78. Epub 2017 Jun 1. Review.

31.

Metabolic profiling of polycystic ovary syndrome reveals interactions with abdominal obesity.

Couto Alves A, Valcarcel B, Mäkinen VP, Morin-Papunen L, Sebert S, Kangas AJ, Soininen P, Das S, De Iorio M, Coin L, Ala-Korpela M, Järvelin MR, Franks S.

Int J Obes (Lond). 2017 Sep;41(9):1331-1340. doi: 10.1038/ijo.2017.126. Epub 2017 May 26.

32.

Novel association of TM6SF2 rs58542926 genotype with increased serum tyrosine levels and decreased apoB-100 particles in Finns.

Kim DS, Jackson AU, Li YK, Stringham HM; FinMetSeq Investigators, Kuusisto J, Kangas AJ, Soininen P, Ala-Korpela M, Burant CF, Salomaa V, Boehnke M, Laakso M, Speliotes EK.

J Lipid Res. 2017 Jul;58(7):1471-1481. doi: 10.1194/jlr.P076034. Epub 2017 May 24.

33.

Relationships between gut microbiota, plasma metabolites, and metabolic syndrome traits in the METSIM cohort.

Org E, Blum Y, Kasela S, Mehrabian M, Kuusisto J, Kangas AJ, Soininen P, Wang Z, Ala-Korpela M, Hazen SL, Laakso M, Lusis AJ.

Genome Biol. 2017 Apr 13;18(1):70. doi: 10.1186/s13059-017-1194-2.

34.

Impaired HDL2-mediated cholesterol efflux is associated with metabolic syndrome in families with early onset coronary heart disease and low HDL-cholesterol level.

Paavola T, Kuusisto S, Jauhiainen M, Kakko S, Kangas-Kontio T, Metso J, Soininen P, Ala-Korpela M, Bloigu R, Hannuksela ML, Savolainen MJ, Salonurmi T.

PLoS One. 2017 Feb 16;12(2):e0171993. doi: 10.1371/journal.pone.0171993. eCollection 2017.

35.

Epigenome-wide association study of body mass index, and the adverse outcomes of adiposity.

Wahl S, Drong A, Lehne B, Loh M, Scott WR, Kunze S, Tsai PC, Ried JS, Zhang W, Yang Y, Tan S, Fiorito G, Franke L, Guarrera S, Kasela S, Kriebel J, Richmond RC, Adamo M, Afzal U, Ala-Korpela M, Albetti B, Ammerpohl O, Apperley JF, Beekman M, Bertazzi PA, Black SL, Blancher C, Bonder MJ, Brosch M, Carstensen-Kirberg M, de Craen AJ, de Lusignan S, Dehghan A, Elkalaawy M, Fischer K, Franco OH, Gaunt TR, Hampe J, Hashemi M, Isaacs A, Jenkinson A, Jha S, Kato N, Krogh V, Laffan M, Meisinger C, Meitinger T, Mok ZY, Motta V, Ng HK, Nikolakopoulou Z, Nteliopoulos G, Panico S, Pervjakova N, Prokisch H, Rathmann W, Roden M, Rota F, Rozario MA, Sandling JK, Schafmayer C, Schramm K, Siebert R, Slagboom PE, Soininen P, Stolk L, Strauch K, Tai ES, Tarantini L, Thorand B, Tigchelaar EF, Tumino R, Uitterlinden AG, van Duijn C, van Meurs JB, Vineis P, Wickremasinghe AR, Wijmenga C, Yang TP, Yuan W, Zhernakova A, Batterham RL, Smith GD, Deloukas P, Heijmans BT, Herder C, Hofman A, Lindgren CM, Milani L, van der Harst P, Peters A, Illig T, Relton CL, Waldenberger M, Järvelin MR, Bollati V, Soong R, Spector TD, Scott J, McCarthy MI, Elliott P, Bell JT, Matullo G, Gieger C, Kooner JS, Grallert H, Chambers JC.

Nature. 2017 Jan 5;541(7635):81-86. doi: 10.1038/nature20784. Epub 2016 Dec 21.

36.

Metabolic profiling of pregnancy: cross-sectional and longitudinal evidence.

Wang Q, Würtz P, Auro K, Mäkinen VP, Kangas AJ, Soininen P, Tiainen M, Tynkkynen T, Jokelainen J, Santalahti K, Salmi M, Blankenberg S, Zeller T, Viikari J, Kähönen M, Lehtimäki T, Salomaa V, Perola M, Jalkanen S, Järvelin MR, Raitakari OT, Kettunen J, Lawlor DA, Ala-Korpela M.

BMC Med. 2016 Dec 13;14(1):205.

37.

Blood hsa-miR-122-5p and hsa-miR-885-5p levels associate with fatty liver and related lipoprotein metabolism-The Young Finns Study.

Raitoharju E, Seppälä I, Lyytikäinen LP, Viikari J, Ala-Korpela M, Soininen P, Kangas AJ, Waldenberger M, Klopp N, Illig T, Leiviskä J, Loo BM, Oksala N, Kähönen M, Hutri-Kähönen N, Laaksonen R, Raitakari O, Lehtimäki T.

Sci Rep. 2016 Dec 5;6:38262. doi: 10.1038/srep38262.

38.

Metabolic signatures of birthweight in 18 288 adolescents and adults.

Würtz P, Wang Q, Niironen M, Tynkkynen T, Tiainen M, Drenos F, Kangas AJ, Soininen P, Skilton MR, Heikkilä K, Pouta A, Kähönen M, Lehtimäki T, Rose RJ, Kajantie E, Perola M, Kaprio J, Eriksson JG, Raitakari OT, Lawlor DA, Davey Smith G, Järvelin MR, Ala-Korpela M, Auro K.

Int J Epidemiol. 2016 Oct;45(5):1539-1550.

39.

Metabolic profiling-multitude of technologies with great research potential, but (when) will translation emerge?

Ala-Korpela M, Davey Smith G.

Int J Epidemiol. 2016 Oct;45(5):1311-1318. Epub 2016 Oct 27. No abstract available.

40.

Metabolomics in cardiovascular medicine: Not personalised, not diagnostic.

Ala-Korpela M.

Eur J Prev Cardiol. 2016 Nov;23(17):1821-1822. Epub 2016 Aug 11. No abstract available.

PMID:
27514945
41.

Metabolic profiling of fatty liver in young and middle-aged adults: Cross-sectional and prospective analyses of the Young Finns Study.

Kaikkonen JE, Würtz P, Suomela E, Lehtovirta M, Kangas AJ, Jula A, Mikkilä V, Viikari JS, Juonala M, Rönnemaa T, Hutri-Kähönen N, Kähönen M, Lehtimäki T, Soininen P, Ala-Korpela M, Raitakari OT.

Hepatology. 2017 Feb;65(2):491-500. doi: 10.1002/hep.28899. Epub 2016 Dec 24.

42.

Effect of metformin therapy on circulating amino acids in a randomized trial: the CAMERA study.

Preiss D, Rankin N, Welsh P, Holman RR, Kangas AJ, Soininen P, Würtz P, Ala-Korpela M, Sattar N.

Diabet Med. 2016 Nov;33(11):1569-1574. doi: 10.1111/dme.13097. Epub 2016 Mar 3.

PMID:
26887663
43.

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.

44.

Variant rs10911021 that associates with coronary heart disease in type 2 diabetes, is associated with lower concentrations of circulating HDL cholesterol and large HDL particles but not with amino acids.

Beaney KE, Cooper JA, McLachlan S, Wannamethee SG, Jefferis BJ, Whincup P, Ben-Shlomo Y, Price JF, Kumari M, Wong A, Ong K, Hardy R, Kuh D, Kivimaki M, Kangas AJ, Soininen P, Ala-Korpela M, Drenos F, Humphries SE; UCLEB consortium.

Cardiovasc Diabetol. 2016 Aug 22;15(1):115. doi: 10.1186/s12933-016-0435-0.

45.

Effects of hormonal contraception on systemic metabolism: cross-sectional and longitudinal evidence.

Wang Q, Würtz P, Auro K, Morin-Papunen L, Kangas AJ, Soininen P, Tiainen M, Tynkkynen T, Joensuu A, Havulinna AS, Aalto K, Salmi M, Blankenberg S, Zeller T, Viikari J, Kähönen M, Lehtimäki T, Salomaa V, Jalkanen S, Järvelin MR, Perola M, Raitakari OT, Lawlor DA, Kettunen J, Ala-Korpela M.

Int J Epidemiol. 2016 Oct;45(5):1445-1457. Epub 2016 Aug 18.

46.

Metabolic profiling of alcohol consumption in 9778 young adults.

Würtz P, Cook S, Wang Q, Tiainen M, Tynkkynen T, Kangas AJ, Soininen P, Laitinen J, Viikari J, Kähönen M, Lehtimäki T, Perola M, Blankenberg S, Zeller T, Männistö S, Salomaa V, Järvelin MR, Raitakari OT, Ala-Korpela M, Leon DA.

Int J Epidemiol. 2016 Oct;45(5):1493-1506. Epub 2016 Aug 5.

47.

Prompt impact of first prospective statin mega-trials on postoperative lipid management of CABG patients: a 20-year follow-up in a single hospital.

Palomäki A, Hällberg V, Ala-Korpela M, Kovanen PT, Malminiemi K.

Lipids Health Dis. 2016 Jul 26;15(1):124. doi: 10.1186/s12944-016-0292-6.

48.

Metabolomics of aging requires large-scale longitudinal studies with replication.

Mäkinen VP, Ala-Korpela M.

Proc Natl Acad Sci U S A. 2016 Jun 21;113(25):E3470. doi: 10.1073/pnas.1607062113. Epub 2016 Jun 14. No abstract available.

49.

metaCCA: summary statistics-based multivariate meta-analysis of genome-wide association studies using canonical correlation analysis.

Cichonska A, Rousu J, Marttinen P, Kangas AJ, Soininen P, Lehtimäki T, Raitakari OT, Järvelin MR, Salomaa V, Ala-Korpela M, Ripatti S, Pirinen M.

Bioinformatics. 2016 Jul 1;32(13):1981-9. doi: 10.1093/bioinformatics/btw052. Epub 2016 Feb 19.

50.

The Biomarker GlycA Is Associated with Chronic Inflammation and Predicts Long-Term Risk of Severe Infection.

Ritchie SC, Würtz P, Nath AP, Abraham G, Havulinna AS, Fearnley LG, Sarin AP, Kangas AJ, Soininen P, Aalto K, Seppälä I, Raitoharju E, Salmi M, Maksimow M, Männistö S, Kähönen M, Juonala M, Ripatti S, Lehtimäki T, Jalkanen S, Perola M, Raitakari O, Salomaa V, Ala-Korpela M, Kettunen J, Inouye M.

Cell Syst. 2015 Oct 28;1(4):293-301. doi: 10.1016/j.cels.2015.09.007. Epub 2015 Oct 22.

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