Jake Lin
Overview
Explore the profile of Jake Lin including associated specialties, affiliations and a list of published articles.
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30
Citations
414
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Recent Articles
1.
Prince N, Peralta Marzal L, Roussin L, Monnoye M, Philippe C, Maximin E, et al.
Gut Microbes
. 2025 Jan;
17(1):2447822.
PMID: 39773319
Several factors are linked to the pathophysiology of autism spectrum disorders (ASD); however, the molecular mechanisms of the condition remain unknown. As intestinal problems and gut microbiota dysbiosis are associated...
2.
Salenius K, Valja N, Thusberg S, Iris F, Ladd-Acosta C, Roos C, et al.
BMC Psychiatry
. 2024 Dec;
24(1):934.
PMID: 39696186
Background: Autism spectrum disorder (ASD) is a partially heritable neurodevelopmental trait, and people with ASD may also have other co-occurring trait such as ADHD, anxiety disorders, depression, mental health issues,...
3.
Heikkila T, Kaiser E, Lin J, Gill D, Koskenniemi J, Karhunen V
Diabetologia
. 2024 Sep;
67(12):2667-2677.
PMID: 39271518
Aims/hypothesis: We aimed to investigate the genetic evidence that supports the repurposing of drugs already licensed or in clinical phases of development for prevention of type 1 diabetes. Methods: We...
4.
Lin J, Mars N, Fu Y, Ripatti P, Kiiskinen T, Tukiainen T, et al.
JACC Basic Transl Sci
. 2024 Jan;
8(12):1489-1499.
PMID: 38205343
There are several established biomarkers for coronary heart disease (CHD), including blood pressure, cholesterol, and lipoproteins. It is of high interest to determine how a combined polygenic risk score (PRS)...
5.
Lin J, Moradi E, Salenius K, Lehtipuro S, Hakkinen T, Laiho J, et al.
Nat Commun
. 2023 Nov;
14(1):7630.
PMID: 37993433
Although the genetic basis and pathogenesis of type 1 diabetes have been studied extensively, how host responses to environmental factors might contribute to autoantibody development remains largely unknown. Here, we...
6.
Mak J, Kananen L, Qin C, Kuja-Halkola R, Tang B, Lin J, et al.
Aging Cell
. 2023 May;
22(8):e13868.
PMID: 37184129
Identifying metabolic biomarkers of frailty, an age-related state of physiological decline, is important for understanding its metabolic underpinnings and developing preventive strategies. Here, we systematically examined 168 nuclear magnetic resonance-based...
7.
Pfau T, Galhardo M, Lin J, Sauter T
Metabolites
. 2021 Jun;
11(5).
PMID: 34066448
Visual integration of experimental data in metabolic networks is an important step to understanding their meaning. As genome-scale metabolic networks reach several thousand reactions, the task becomes more difficult and...
8.
Honkimaa A, Kimura B, Sioofy-Khojine A, Lin J, Laiho J, Oikarinen S, et al.
Microorganisms
. 2020 Nov;
8(11).
PMID: 33203081
Coxsackie B (CVB) viruses have been associated with type 1 diabetes. We have recently observed that CVB1 was linked to the initiation of the autoimmune process leading to type 1...
9.
Ruotsalainen S, Partanen J, Cichonska A, Lin J, Benner C, Surakka I, et al.
Eur J Hum Genet
. 2020 Oct;
29(2):309-324.
PMID: 33110245
Multivariate methods are known to increase the statistical power to detect associations in the case of shared genetic basis between phenotypes. They have, however, lacked essential analytic tools to follow-up...
10.
Lin J, Tabassum R, Ripatti S, Pirinen M
Front Genet
. 2020 Jun;
11:431.
PMID: 32499813
Background: Multivariate testing tools that integrate multiple genome-wide association studies (GWAS) have become important as the number of phenotypes gathered from study cohorts and biobanks has increased. While these tools...