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Items: 20

1.

A logistic regression analysis of risk factors in ME/CFS pathogenesis.

Lacerda EM, Geraghty K, Kingdon CC, Palla L, Nacul L.

BMC Neurol. 2019 Nov 7;19(1):275. doi: 10.1186/s12883-019-1468-2.

3.

Machine Learning Predicts Accurately Mycobacterium tuberculosis Drug Resistance From Whole Genome Sequencing Data.

Deelder W, Christakoudi S, Phelan J, Benavente ED, Campino S, McNerney R, Palla L, Clark TG.

Front Genet. 2019 Sep 26;10:922. doi: 10.3389/fgene.2019.00922. eCollection 2019.

5.

Chronotype: Implications for Epidemiologic Studies on Chrono-Nutrition and Cardiometabolic Health.

Almoosawi S, Vingeliene S, Gachon F, Voortman T, Palla L, Johnston JD, Van Dam RM, Darimont C, Karagounis LG.

Adv Nutr. 2019 Jan 1;10(1):30-42. doi: 10.1093/advances/nmy070.

6.
7.

Assessing for Cardiotoxicity from Metal-on-Metal Hip Implants with Advanced Multimodality Imaging Techniques.

Berber R, Abdel-Gadir A, Rosmini S, Captur G, Nordin S, Culotta V, Palla L, Kellman P, Lloyd GW, Skinner JA, Moon JC, Manisty C, Hart AJ.

J Bone Joint Surg Am. 2017 Nov 1;99(21):1827-1835. doi: 10.2106/JBJS.16.00743.

8.

Breakfast consumption and nutrient intakes in 4-18-year-olds: UK National Diet and Nutrition Survey Rolling Programme (2008-2012).

Coulthard JD, Palla L, Pot GK.

Br J Nutr. 2017 Aug;118(4):280-290. doi: 10.1017/S0007114517001714. Epub 2017 Aug 17.

9.

Weight Status Is Related with Gender and Sleep Duration but Not with Dietary Habits and Physical Activity in Primary School Italian Children.

Rosi A, Calestani MV, Parrino L, Milioli G, Palla L, Volta E, Brighenti F, Scazzina F.

Nutrients. 2017 Jun 6;9(6). pii: E579. doi: 10.3390/nu9060579.

10.

Application of Correspondence Analysis to Graphically Investigate Associations Between Foods and Eating Locations.

Chapman AN, Beh EJ, Palla L.

Stud Health Technol Inform. 2017;235:166-170.

PMID:
28423776
11.

A Fast Method that Uses Polygenic Scores to Estimate the Variance Explained by Genome-wide Marker Panels and the Proportion of Variants Affecting a Trait.

Palla L, Dudbridge F.

Am J Hum Genet. 2015 Aug 6;97(2):250-9. doi: 10.1016/j.ajhg.2015.06.005. Epub 2015 Jul 16.

12.

Metabolic profiling by (1)H NMR of ground beef irradiated at different irradiation doses.

Zanardi E, Caligiani A, Palla L, Mariani M, Ghidini S, Di Ciccio PA, Palla G, Ianieri A.

Meat Sci. 2015 May;103:83-9. doi: 10.1016/j.meatsci.2015.01.005. Epub 2015 Jan 15.

PMID:
25637742
13.

Gene-lifestyle interaction and type 2 diabetes: the EPIC interact case-cohort study.

Langenberg C, Sharp SJ, Franks PW, Scott RA, Deloukas P, Forouhi NG, Froguel P, Groop LC, Hansen T, Palla L, Pedersen O, Schulze MB, Tormo MJ, Wheeler E, Agnoli C, Arriola L, Barricarte A, Boeing H, Clarke GM, Clavel-Chapelon F, Duell EJ, Fagherazzi G, Kaaks R, Kerrison ND, Key TJ, Khaw KT, Kröger J, Lajous M, Morris AP, Navarro C, Nilsson PM, Overvad K, Palli D, Panico S, Quirós JR, Rolandsson O, Sacerdote C, Sánchez MJ, Slimani N, Spijkerman AM, Tumino R, van der A DL, van der Schouw YT, Barroso I, McCarthy MI, Riboli E, Wareham NJ.

PLoS Med. 2014 May 20;11(5):e1001647. doi: 10.1371/journal.pmed.1001647. eCollection 2014 May.

14.

Application of 1H NMR for the characterisation of cocoa beans of different geographical origins and fermentation levels.

Caligiani A, Palla L, Acquotti D, Marseglia A, Palla G.

Food Chem. 2014 Aug 15;157:94-9. doi: 10.1016/j.foodchem.2014.01.116. Epub 2014 Feb 12.

PMID:
24679756
15.

Non-invasive risk scores for prediction of type 2 diabetes (EPIC-InterAct): a validation of existing models.

Kengne AP, Beulens JW, Peelen LM, Moons KG, van der Schouw YT, Schulze MB, Spijkerman AM, Griffin SJ, Grobbee DE, Palla L, Tormo MJ, Arriola L, Barengo NC, Barricarte A, Boeing H, Bonet C, Clavel-Chapelon F, Dartois L, Fagherazzi G, Franks PW, Huerta JM, Kaaks R, Key TJ, Khaw KT, Li K, Mühlenbruch K, Nilsson PM, Overvad K, Overvad TF, Palli D, Panico S, Quirós JR, Rolandsson O, Roswall N, Sacerdote C, Sánchez MJ, Slimani N, Tagliabue G, Tjønneland A, Tumino R, van der A DL, Forouhi NG, Sharp SJ, Langenberg C, Riboli E, Wareham NJ.

Lancet Diabetes Endocrinol. 2014 Jan;2(1):19-29. doi: 10.1016/S2213-8587(13)70103-7. Epub 2013 Oct 8. Erratum in: Lancet Diabetes Endocrinol. 2014 Apr;2(4):e11.

16.

Application of ¹H NMR for the characterisation and authentication of ''Tonda Gentile Trilobata" hazelnuts from Piedmont (Italy).

Caligiani A, Coisson JD, Travaglia F, Acquotti D, Palla G, Palla L, Arlorio M.

Food Chem. 2014 Apr 1;148:77-85. doi: 10.1016/j.foodchem.2013.10.001. Epub 2013 Oct 10.

PMID:
24262529
17.

Factors that determine energy compensation: a systematic review of preload studies.

Almiron-Roig E, Palla L, Guest K, Ricchiuti C, Vint N, Jebb SA, Drewnowski A.

Nutr Rev. 2013 Jul;71(7):458-73. doi: 10.1111/nure.12048. Epub 2013 Jun 10. Review.

18.

Long-term risk of incident type 2 diabetes and measures of overall and regional obesity: the EPIC-InterAct case-cohort study.

InterAct Consortium, Langenberg C, Sharp SJ, Schulze MB, Rolandsson O, Overvad K, Forouhi NG, Spranger J, Drogan D, Huerta JM, Arriola L, de Lauzon-Guillan B, Tormo MJ, Ardanaz E, Balkau B, Beulens JW, Boeing H, Bueno-de-Mesquita HB, Clavel-Chapelon F, Crowe FL, Franks PW, Gonzalez CA, Grioni S, Halkjaer J, Hallmans G, Kaaks R, Kerrison ND, Key TJ, Khaw KT, Mattiello A, Nilsson P, Norat T, Palla L, Palli D, Panico S, Quirós JR, Romaguera D, Romieu I, Sacerdote C, Sánchez MJ, Slimani N, Sluijs I, Spijkerman AM, Teucher B, Tjonneland A, Tumino R, van der A DL, van der Schouw YT, Feskens EJ, Riboli E, Wareham NJ.

PLoS Med. 2012;9(6):e1001230. doi: 10.1371/journal.pmed.1001230. Epub 2012 Jun 5.

19.

Physical activity attenuates the influence of FTO variants on obesity risk: a meta-analysis of 218,166 adults and 19,268 children.

Kilpeläinen TO, Qi L, Brage S, Sharp SJ, Sonestedt E, Demerath E, Ahmad T, Mora S, Kaakinen M, Sandholt CH, Holzapfel C, Autenrieth CS, Hyppönen E, Cauchi S, He M, Kutalik Z, Kumari M, Stančáková A, Meidtner K, Balkau B, Tan JT, Mangino M, Timpson NJ, Song Y, Zillikens MC, Jablonski KA, Garcia ME, Johansson S, Bragg-Gresham JL, Wu Y, van Vliet-Ostaptchouk JV, Onland-Moret NC, Zimmermann E, Rivera NV, Tanaka T, Stringham HM, Silbernagel G, Kanoni S, Feitosa MF, Snitker S, Ruiz JR, Metter J, Larrad MT, Atalay M, Hakanen M, Amin N, Cavalcanti-Proença C, Grøntved A, Hallmans G, Jansson JO, Kuusisto J, Kähönen M, Lutsey PL, Nolan JJ, Palla L, Pedersen O, Pérusse L, Renström F, Scott RA, Shungin D, Sovio U, Tammelin TH, Rönnemaa T, Lakka TA, Uusitupa M, Rios MS, Ferrucci L, Bouchard C, Meirhaeghe A, Fu M, Walker M, Borecki IB, Dedoussis GV, Fritsche A, Ohlsson C, Boehnke M, Bandinelli S, van Duijn CM, Ebrahim S, Lawlor DA, Gudnason V, Harris TB, Sørensen TI, Mohlke KL, Hofman A, Uitterlinden AG, Tuomilehto J, Lehtimäki T, Raitakari O, Isomaa B, Njølstad PR, Florez JC, Liu S, Ness A, Spector TD, Tai ES, Froguel P, Boeing H, Laakso M, Marmot M, Bergmann S, Power C, Khaw KT, Chasman D, Ridker P, Hansen T, Monda KL, Illig T, Järvelin MR, Wareham NJ, Hu FB, Groop LC, Orho-Melander M, Ekelund U, Franks PW, Loos RJ.

PLoS Med. 2011 Nov;8(11):e1001116. doi: 10.1371/journal.pmed.1001116. Epub 2011 Nov 1.

20.

Challenges in the use of literature-based meta-analysis to examine gene-environment interactions.

Palla L, Higgins JP, Wareham NJ, Sharp SJ.

Am J Epidemiol. 2010 Jun 1;171(11):1225-32. doi: 10.1093/aje/kwq051. Epub 2010 Apr 20.

PMID:
20406760

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