Leif Groop

Leif Groop


Research Focus & Metrics

Academic Career Length

39Years (1988-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 May 2018 in The Lancet Diabetes & Endocrinology
Verified
Journal Article
Closed access
EAEmma Ahlqvist
Emma Ahlqvist
PSPetter Storm
Petter Storm
AKAnnemari Käräjämäki
Annemari Käräjämäki
MMMats Martinell
Mats Martinell
MDMozhgan Dorkhan
Mozhgan Dorkhan
LGLeif Groop
Leif Groop

12 May 2022 in Nature Genetics
Verified
Journal Article
Closed access
PDF file
AMAnubha Mahajan
Anubha Mahajan
CSCassandra N. Spracklen
Cassandra N. Spracklen
WZWeihua Zhang
Weihua Zhang
MNMaggie C. Y. Ng
Maggie C. Y. Ng
LPLauren E. Petty
Lauren E. Petty
AMAndrew P. Morris
Andrew P. Morris

7 December 2008 in Nature Genetics
Verified
Journal Article
Closed access
PDF file
VLValeriya Lyssenko
Valeriya Lyssenko
CNCecilia L F Nagorny
Cecilia L F Nagorny
MEMichael R Erdos
Michael R Erdos
NWNils Wierup
Nils Wierup
AJAnna Jonsson
Anna Jonsson
LGLeif Groop
Leif Groop

15 December 2016 in Diabetes
Verified
Journal Article
Open access
PDF file
JSJay S. Skyler
Jay S. Skyler
GBGeorge L. Bakris
George L. Bakris
EBEzio Bonifacio
Ezio Bonifacio
TDTamara Darsow
Tamara Darsow
RERobert H. Eckel
Robert H. Eckel
RRRobert E. Ratner
Robert E. Ratner
The American Diabetes Association, JDRF, the European Association for the Study of Diabetes, and the American Association of Clinical Endocrinologists convened a research symposium, “The Differentiation of Diabetes by Pathophysiology, Natural History and Prognosis” on 10–12 October 2015. International experts in genetics, immunology, metabolism, endocrinology, and systems biology discussed genetic and environmental determinants of type 1 and type 2 diabetes risk and progression, as well as complications. The participants debated how to determine appropriate therapeutic approaches based on disease pathophysiology and stage and defined remaining research gaps hindering a personalized medical approach for diabetes to drive the field to address these gaps. The authors recommend a structure for data stratification to define the phenotypes and genotypes of subtypes of diabetes that will facilitate individualized treatment.

1 March 2014 in The Lancet
Verified
Journal Article
Closed access
TTTiinamaija Tuomi
Tiinamaija Tuomi
NSNicola Santoro
Nicola Santoro
SCSonia Caprio
Sonia Caprio
MCMengyin Cai
Mengyin Cai
Jianping WengJianping Weng
Jianping Weng
LGLeif Groop
Leif Groop

8 September 2014 in Proceedings of the National Academy of Sciences
Verified
Journal Article
Closed access
PDF file
JFJoão Fadista
João Fadista
PVPetter Vikman
Petter Vikman
ELEmilia Ottosson Laakso
Emilia Ottosson Laakso
IMInês Mollet
Inês Mollet
Jonathan EsguerraJonathan Esguerra
Jonathan Esguerra
LGLeif Groop
Leif Groop
Significance: We provide a comprehensive catalog of novel genetic variants influencing gene expression and metabolic phenotypes in human pancreatic islets. The data also show that the path from genetic variation (SNP) to gene expression is more complex than hitherto often assumed, and that we need to consider that genetic variation can also influence function of a gene by influencing exon usage or splice isoforms (sQTL), allelic imbalance, RNA editing, and expression of noncoding RNAs, which in turn can influence expression of target genes.