Niina Sandholm
@NiinaSandholm
Followers
105
Following
218
Statuses
46
Joined August 2011
Our GWAS on urine metabolomics revealed novel genes and pathways affecting urine metabolites and evaluated the role of kidney function. Great collaboration between @FinnDianeStudy, Generation Scotland and the VIKING STUDY! @carolinehaywar7 @ErkkaValo
Latest results investigating genetics of urinary metabolites: Causal analysis suggested estimated kidney filtration rate (eGFR) affected 13 metabolites while ethanolamine was associated with higher eGFR. @FolkhalsanRC @HelsinkiUniMed @NgaleHealth
0
0
1
RT @FinnDianeStudy: Urinary metabolites such as xanthosine, 3-hydroxyisobutyrate, trans-aconitate and 4-deoxythreonate predict future coron…
0
3
0
RT @FinnDianeStudy: Our latest study reveals several putative associations with novel and functionally plausible genes for diabetic kidney…
0
3
0
Our sequencing of >1000 @FinnDianeStudy participants with #T1D reveals novel variants, genes (LTA/TNF-b), and regulatory regions (METTL4) associated with diabetic kidney disease @folkhalsanRC
0
3
10
RT @AKouvonen: #Toisiolaki vaikeuttaa lääketieteen tutkimuksen lisäksi myös yhteiskuntatieteellistä #rekisteritutkimus 'ta. Mm. kustannukse…
0
5
0
We are hiring! PhD position on genetics, epigenetics and bioinformatics on diabetic complications @FinnDianeStudy @FolkhalsanRC
0
8
19
@Eric_Fauman @TonyMerriman2 Agree, MTHFR is one of the blood eQTLs for rs4846068 and the most likely target gene, even though the signals did not co-localize
0
0
1
@Eric_Fauman thanks @Eric_Fauman, we went through the literature and discussed the most interesting ones in more detail in the text, but reported in tables only the closest/eQTL genes. Agree that a "most likely target gene column" would be useful to add
0
0
2
RT @KIReports: Rate of #kidney function decline is associated with kidney and #heartfailure in individuals with type 1 #diabetes
#VisualAb…
0
4
0
In @FinnDianeStudy individuals with T1D, eGFR slope from preceding 5 yrs (rate of kidney function decline), is independently associated with future kidney failure or death. However, eGFR slope does not improve prediction models @ErkkaValo
0
0
6
RT @TinskuT: Thanks Jay Skyler for the uplifting commentary! Great work @minna_harsunen Jani Haukka @NiinaSandholm @ninajmars @FolkhalsanR…
0
3
0
In study of 3 Finnish cohorts of type 1 diabetes, 19% of @FinnDianeStudy participants had measurable C-peptide after median 21 years w/ diabetes, indicating residual insulin secretion. Even low C-peptide associated with less complications @minna_harsunen @FolkhalsanRC @TinskuT
0
2
5
RT @FolkhalsanRC: The @FinnDianeStudy has secured significant #funding from @novonordiskfond and will be able to intensify their search for…
0
4
0
I had a very sunny and successful daytrip to Copenhagen in April! @novonordiskfond will support our study on diabetes complications from genetics to epigenetics, proteomics, and disease prediction! @FinnDianeStudy @FolkhalsanRC
The Novo Nordisk Foundation has awarded 37 new grants through its major Research Leader Programme that supports leading researchers at different career stages. More than 200 researchers have now received grants through the Programme.
1
1
17
Our review on Genetic and epigenetic background of diabetic kidney disease discusses the latest genetic findings, epigenetic factors and their role in disease pathways and prediction. @FinnDianeStudy @emmah_dahlstrom @FolkhalsanRC
0
3
10
Our EWAS meta-analysis in the #GENIE consortium found 32 differentially methylated CpGs in diabetic kidney disease in type 1 diabetes. Methylation at 21 CpGs predicted kidney failure, and MR suggested methylation at REV1 causes kidney disease. @FinnDianeStudy #folkhalsanRC
Excited to share results from our epigenome-wide methylation study identifying 32 differentially methylated sites across the genome in kidney disease in type 1 diabetes @FinnDianeStudy @HelsinkiUniMed @a_j_mcknight @NiinaSandholm @a_j_mcknight @lsmyth_1
0
1
6
@FinnDianeStudy preprint on whole genome sequencing of stoke in #T1D reports T1D specific stroke loci on 4q33, SREBF1, and ANK1; and loci that generalize to the non-diabetic population, e.g. HAS1, LRRN1 and TRPM2-AS promoter. Well done Anni! @FolkhalsanRC
0
2
6
Read more about our @FinnDianeStudy genetic studies on blood lipids in #diabetes using whole exome sequencing! @RonjaHotakainen
Researchers at @helsinkiuni and @FolkhalsanRC have identified #genevariants linked to harmful fatty substances in the #blood. In the future, it might prove possible to prevent #cardiovasculardisease by influencing the function of these genes.
0
0
5
Our whole exome sequencing of 78 lipid traits in 1,054 @FinnDianeStudy participants with #Type1Diabetes identified lipid and apolipoprotein-associated variants in the previously known and novel genes incl. LIPC, APOB, GTF3C5 and RBM47. #FolkhalsanRC
2
7
19