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1.
Exploring machine learning strategies for predicting cardiovascular disease risk factors from multi-omic data.
BMC Med Inform Decis Mak
; 24(1): 116, 2024 May 02.
Article
in English
| MEDLINE | ID: mdl-38698395
2.
Umbilical cord blood DNA methylation in children who later develop type 1 diabetes.
Diabetologia
; 65(9): 1534-1540, 2022 09.
Article
in English
| MEDLINE | ID: mdl-35716175
3.
Enterovirus-associated changes in blood transcriptomic profiles of children with genetic susceptibility to type 1 diabetes.
Diabetologia
; 61(2): 381-388, 2018 02.
Article
in English
| MEDLINE | ID: mdl-29119244
4.
Subclinical atherosclerosis in young adults predicting cardiovascular disease: The Cardiovascular Risk in Young Finns Study.
Atherosclerosis
; : 117515, 2024 Mar 19.
Article
in English
| MEDLINE | ID: mdl-38582639
5.
Interactions of y+LAT1 and 4F2hc in the y+l amino acid transporter complex: consequences of lysinuric protein intolerance-causing mutations.
Gen Physiol Biophys
; 32(4): 479-88, 2013 Dec.
Article
in English
| MEDLINE | ID: mdl-23940088
6.
Association of human bocavirus 1 infection with respiratory disease in childhood follow-up study, Finland.
Emerg Infect Dis
; 18(2): 264-71, 2012 Feb.
Article
in English
| MEDLINE | ID: mdl-22305021
7.
Exploring the transcriptomic variation caused by the Finnish founder mutation of lysinuric protein intolerance (LPI).
Mol Genet Metab
; 105(3): 408-15, 2012 Mar.
Article
in English
| MEDLINE | ID: mdl-22221392
8.
Interoperability design of personal health information import service.
Stud Health Technol Inform
; 180: 462-6, 2012.
Article
in English
| MEDLINE | ID: mdl-22874233
9.
Method for modeling social care processes for national information exchange.
Stud Health Technol Inform
; 180: 906-10, 2012.
Article
in English
| MEDLINE | ID: mdl-22874324
10.
Multi-Omics Integration in a Twin Cohort and Predictive Modeling of Blood Pressure Values.
OMICS
; 26(3): 130-141, 2022 03.
Article
in English
| MEDLINE | ID: mdl-35259029
11.
Permutation-based significance analysis reduces the type 1 error rate in bisulphite sequencing data analysis of human umbilical cord blood samples.
Epigenetics
; 17(12): 1608-1627, 2022 12.
Article
in English
| MEDLINE | ID: mdl-35246015
12.
Long-term tracking and population characteristics of lipoprotein (a) in the Cardiovascular Risk in Young Finns Study.
Atherosclerosis
; 356: 18-27, 2022 09.
Article
in English
| MEDLINE | ID: mdl-35961208
13.
Glycoprotein Acetyls: A Novel Inflammatory Biomarker of Early Cardiovascular Risk in the Young.
J Am Heart Assoc
; 11(4): e024380, 2022 02 15.
Article
in English
| MEDLINE | ID: mdl-35156387
14.
Correction: Vol. 18, No. 2.
Emerg Infect Dis
; 22(9): 1695, 2016 09.
Article
in English
| MEDLINE | ID: mdl-27390872
15.
Mapping the Finnish National EHR to the LOINC.
Stud Health Technol Inform
; 165: 161-6, 2011.
Article
in English
| MEDLINE | ID: mdl-21685603
16.
Reference architecture of application services for personal wellbeing information management.
Stud Health Technol Inform
; 169: 98-102, 2011.
Article
in English
| MEDLINE | ID: mdl-21893722
17.
Task analysis and interoperable application services for service event management.
Stud Health Technol Inform
; 169: 295-9, 2011.
Article
in English
| MEDLINE | ID: mdl-21893760
18.
Evaluating the direct effects of childhood adiposity on adult systemic metabolism: a multivariable Mendelian randomization analysis.
Int J Epidemiol
; 50(5): 1580-1592, 2021 11 10.
Article
in English
| MEDLINE | ID: mdl-33783488
19.
The associations of oxidized lipoprotein lipids with lipoprotein subclass particle concentrations and their lipid compositions. The Cardiovascular Risk in Young Finns Study.
Free Radic Biol Med
; 162: 225-232, 2021 01.
Article
in English
| MEDLINE | ID: mdl-33098999
20.
Childhood exposure to parental smoking and life-course overweight and central obesity.
Ann Med
; 53(1): 208-216, 2021 12.
Article
in English
| MEDLINE | ID: mdl-33305629