Detalhe da pesquisa
1.
Integrating transcriptomics, metabolomics, and GWAS helps reveal molecular mechanisms for metabolite levels and disease risk.
Am J Hum Genet
; 109(10): 1727-1741, 2022 10 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-36055244
2.
Author Correction: Exome sequencing of Finnish isolates enhances rare-variant association power.
Nature
; 575(7783): E4, 2019 Nov.
Artigo
em Inglês
| MEDLINE | ID: mdl-31686056
3.
Exome sequencing of Finnish isolates enhances rare-variant association power.
Nature
; 572(7769): 323-328, 2019 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-31367044
4.
Adiponectin GWAS loci harboring extensive allelic heterogeneity exhibit distinct molecular consequences.
PLoS Genet
; 16(9): e1009019, 2020 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-32915782
5.
Adipose Tissue Gene Expression Associations Reveal Hundreds of Candidate Genes for Cardiometabolic Traits.
Am J Hum Genet
; 105(4): 773-787, 2019 10 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-31564431
6.
ACE2 expression in adipose tissue is associated with cardio-metabolic risk factors and cell type composition-implications for COVID-19.
Int J Obes (Lond)
; 46(8): 1478-1486, 2022 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-35589964
7.
The genetic architecture of type 2 diabetes.
Nature
; 536(7614): 41-47, 2016 08 04.
Artigo
em Inglês
| MEDLINE | ID: mdl-27398621
8.
Colocalization of GWAS and eQTL signals at loci with multiple signals identifies additional candidate genes for body fat distribution.
Hum Mol Genet
; 28(24): 4161-4172, 2019 12 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-31691812
9.
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.
Hum Mol Genet
; 27(9): 1664-1674, 2018 05 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-29481666
10.
Genetic Regulation of Adipose Gene Expression and Cardio-Metabolic Traits.
Am J Hum Genet
; 100(3): 428-443, 2017 Mar 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-28257690
11.
Common, low-frequency, and rare genetic variants associated with lipoprotein subclasses and triglyceride measures in Finnish men from the METSIM study.
PLoS Genet
; 13(10): e1007079, 2017 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-29084231
12.
Genome-wide physical activity interactions in adiposity - A meta-analysis of 200,452 adults.
PLoS Genet
; 13(4): e1006528, 2017 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-28448500
13.
Correction: Genome-wide physical activity interactions in adiposity - A meta-analysis of 200,452 adults.
PLoS Genet
; 13(8): e1006972, 2017 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-28832619
14.
Subset-Based Analysis Using Gene-Environment Interactions for Discovery of Genetic Associations across Multiple Studies or Phenotypes.
Hum Hered
; 83(6): 283-314, 2018.
Artigo
em Inglês
| MEDLINE | ID: mdl-31132756
15.
Identification and functional characterization of G6PC2 coding variants influencing glycemic traits define an effector transcript at the G6PC2-ABCB11 locus.
PLoS Genet
; 11(1): e1004876, 2015 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-25625282
16.
Novel association of TM6SF2 rs58542926 genotype with increased serum tyrosine levels and decreased apoB-100 particles in Finns.
J Lipid Res
; 58(7): 1471-1481, 2017 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-28539357
17.
Age-related clonal hematopoiesis associated with adverse outcomes.
N Engl J Med
; 371(26): 2488-98, 2014 Dec 25.
Artigo
em Inglês
| MEDLINE | ID: mdl-25426837
18.
Meta-analysis of gene-environment interaction exploiting gene-environment independence across multiple case-control studies.
Stat Med
; 36(24): 3895-3909, 2017 Oct 30.
Artigo
em Inglês
| MEDLINE | ID: mdl-28744888
19.
Re-sequencing expands our understanding of the phenotypic impact of variants at GWAS loci.
PLoS Genet
; 10(1): e1004147, 2014 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-24497850
20.
The role of environmental heterogeneity in meta-analysis of gene-environment interactions with quantitative traits.
Genet Epidemiol
; 38(5): 416-29, 2014 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-24801060