Fatemifar⁎, G.
80  results:
Search for persons X
?
1

P5705Machine learning for phenotyping and risk prediction i..:

Banerjee, A ; Chen, S ; Fatemifar, G...
European Heart Journal.  40 (2019)  Supplement_1 - p. , 2019
 
?
4

Machine learning for subtype definition and risk prediction..:

Banerjee, A ; Chen, S ; Fatemifar, G...
https://discovery.ucl.ac.uk/id/eprint/10126114/1/s12916-021-01940-7.pdf.  , 2021
 
?
5

The genomics of heart failure: design and rationale of the ..:

Lumbers, RT ; Shah, S ; Lin, H...
https://discovery.ucl.ac.uk/id/eprint/10134393/17/Lumbers_The%20genomics%20of%20heart%20failure-%20design%20and%20rationale%20of%20the%20HERMES%20consortium_AOP.pdf.  , 2021
 
?
6

The influence of CYP2D6 and CYP2C19 genetic variation on di..:

Austin-Zimmerman, I ; Wronska, M ; Wang, B...
https://discovery.ucl.ac.uk/id/eprint/10138683/1/genes-12-01758-v4.pdf.  , 2021
 
?
7

The genomics of heart failure: design and rationale of the ..:

Lumbers, R.T ; Shah, S ; Lin, H.H...
Lumbers , R T , Shah , S , Lin , H H , Czuba , T , Henry , A , Swerdlow , D I , Malarstig , A , Andersson , C , Verweij , N , Holmes , M V , Arnlov , J , Svensson , P , Hemingway , H , Sallah , N , Almgren , P , Aragam , K G , Asselin , G , Backman , J D , Biggs , M L , Bloom , H L , Boersma , E , Brandimarto , J , Brown , M R , Brunner-La Rocca , H P , Carey , D J , Chaffin , M D , Chasman , D I , Chazara , O , Chen , X , Chung , J H , Chutkow , W , Cleland , J G F , Cook , J P , de Denus , S , Dehghan , A , Delgado , G E , Denaxas , S , Doney , A S , Dorr , M , Dudley , S C , Engstrom , G , Esko , T , Fatemifar , G , Felix , S B , Finan , C , Ford , I , Fougerousse , F , Fouodjio , R , Ghanbari , M & Regeneron Genetics Ctr 2021 , ' The genomics of heart failure: design and rationale of the HERMES consortium ' , Esc heart failure , vol. 8 , no. 6 , pp. 5531–5541 . https://doi.org/10.1002/ehf2.13517.  , 2021
 
?
8

The Relationship Between Glycaemia, Cognitive Function, Str..:

Garfield, V ; Farmaki, A-E ; Fatemifar, G...
https://discovery.ucl.ac.uk/id/eprint/10123767/7/Garfield_MR_final_Diabetes_ACCEPTED.pdf.  , 2021
 
?
9

Genome-wide association and Mendelian randomisation analysi..:

Shah, S ; Henry, A ; Roselli, C...
Shah , S , Henry , A , Roselli , C , Lin , HH , Sveinbjornsson , G , Fatemifar , G , Ghanbari , M , Kavousi , M , Portilla Fernández , E , Uitterlinden , A , Yadav , A & Ye , B 2020 , ' Genome-wide association and Mendelian randomisation analysis provide insights into the pathogenesis of heart failure ' , Nature Communications , vol. 11 , no. 1 , 163 . https://doi.org/10.1038/s41467-019-13690-5.  , 2020
 
?
10

Genome-wide association and Mendelian randomisation analysi..:

Shah, S ; Henry, A ; Roselli, C...
https://discovery.ucl.ac.uk/id/eprint/10089549/1/s41467-019-13690-5.pdf.  , 2020
 
?
11

A semi-supervised approach for rapidly creating clinical bi..:

Denaxas, S ; Shah, AD ; Mateen, BA...
https://discovery.ucl.ac.uk/id/eprint/10118166/1/ooaa047.pdf.  , 2020
 
?
13

Phenome-wide association analysis of LDL-cholesterol loweri..:

Schmidt, AF ; Holmes, MV ; Preiss, D...
BMC cardiovascular disorders, 2019, 19 (1), pp. 240 - ?.  , 2020
 
?
14

Associations Between Measures of Sarcopenic Obesity and Ris..:

Farmer, RE ; Mathur, R ; Schmidt, AF...
https://discovery.ucl.ac.uk/id/eprint/10077092/1/JAHA.118.011638.pdf.  , 2019
 
?
15

Phenome-wide association analysis of LDL-cholesterol loweri..:

Schmidt, AF ; Holmes, MV ; Preiss, D...
https://openaccess.sgul.ac.uk/id/eprint/111390/1/document.pdf.  , 2019
 
1-15