Multi-phenotype GWAS suggests shared common and rare genetic variation between inflammation and depression

被引：0
|
作者：
Balkhiyarova, Zhanna [1 ,2 ]
Li, Wenjie [2 ]
Jiao, Yuwei [2 ]
Herzig, Karl-Heinz [3 ]
Veijola, Juha [3 ]
Jarvelin, Marjo-Riitta [2 ,3 ]
Nouwen, Arie [4 ]
Prokopenko, Inga [1 ,5 ]
Kaakinen, Marika [1 ,2 ]
机构：
[1] Univ Surrey, Sect Stat Multiom, Dept Clin & Expt Med, Guildford, England
[2] Imperial Coll London, London, England
[3] Univ Oulu, Oulu, Finland
[4] Middlesex Univ, London, England
[5] Russian Acad Sci, Inst Biochem & Genet, Ufa Fed Res Ctr, Ufa, Russia
来源：
EUROPEAN JOURNAL OF HUMAN GENETICS | 2023年 / 31卷
基金：
欧盟地平线“2020”;
关键词：
D O I：
暂无
中图分类号：
Q5 [生物化学]; Q7 [分子生物学];
学科分类号：
071010 ; 081704 ;
摘要：
EP10.077
引用
收藏
页码：208 / 209
页数：2
相关论文
共 16 条
  • [1] Dissecting the Shared Genetics between Type 2 Diabetes and Depression using a Multi-Phenotype GWAS Approach
    Jared, Gichohi
    Zhanna, Balkhiyarova
    Marika, Kaakinen
    Arie, Nouwen
    Inga, Prokopenko
    HUMAN HEREDITY, 2021, 85 (02) : 78 - 78
  • [2] Multi-phenotype GWAS Uncovers Shared Genetic Loci between Type 2 Diabetes, BMI, Colorectal, Pancreatic, Breast and Prostate Cancers
    Pupko, Igor
    Demirkan, Ayse
    Zudina, Liudmila
    Balkhiyarova, Zhanna
    Ulrich, Anna
    Pascat, Vincent
    Maina, Jared
    Froguel, Philippe
    Kaakinen, Marika
    Prokopenko, Inga
    GENETIC EPIDEMIOLOGY, 2022, 46 (07) : 525 - 526
  • [3] Multi-phenotype GWAS uncovers shared genetic loci between type 2 diabetes, BMI, colorectal, pancreatic, breast and prostate cancers
    Pupko, Igor
    Demirkan, Ayse
    Zudina, Liudmila
    Balkhiyarova, Zhanna
    Ulrich, Anna
    Pascat, Vincent
    Maina, Jared
    Froguel, Philippe
    Riboli, Elio
    Gunter, Marc
    Kaakinen, Marika
    Prokopenko, Inga
    HUMAN HEREDITY, 2022, VOL. (SUPPL 1) : 35 - 35
  • [4] Multi-phenotype association analysis reveals shared biological pathways between type 2 diabetes and depression
    Maina, J. G.
    Balkhiyarova, Z.
    Kaakinen, M.
    Nouwen, A.
    Prokopenko, I.
    DIABETOLOGIA, 2021, 64 (SUPPL 1) : 109 - 109
  • [5] Multi-Phenotype Genome-Wide Meta-Analysis of Lipid Levels and BMI in 64,736 Europeans Suggests Shared Genetic Architecture
    Kaakinen, Marika
    Magi, Reedik
    Lagou, Vasiliki
    Claringbould, Annique
    Gaulton, Kyle
    Fischer, Krista
    Morris, Andrew
    Prokopenko, Inga
    GENETIC EPIDEMIOLOGY, 2017, 41 (07) : 652 - 653
  • [6] Multi-phenotype genome-wide meta-analysis of lipid levels and BMI in 64,736 Europeans suggests shared genetic architecture
    Kaakinen, M.
    Magi, R.
    Lagou, V.
    Claringbould, A.
    Gaulton, K.
    Fischer, K.
    Morris, A. P.
    Prokopenko, I.
    EUROPEAN JOURNAL OF HUMAN GENETICS, 2019, 27 : 813 - 814
  • [7] Multi-phenotype genome-wide meta-analysis of lipid levels and BMI in 64,736 Europeans suggests shared genetic architecture
    Kaakinen, M.
    Magi, R.
    Lagou, V.
    Claringbould, A.
    Gaulton, K.
    Fischer, K.
    Morris, A. P.
    Prokopenko, I.
    EUROPEAN JOURNAL OF HUMAN GENETICS, 2019, 27 : 634 - 634
  • [8] Multi-Phenotype Genome-Wide Meta-Analysis of Lipid Levels and BMI in 64,736 Europeans Suggests Shared Genetic Architecture
    Kaakinen, Marika
    Lagou, Vasiliki
    Magie, Reedik
    Fischer, Krista
    Morris, Andrew P.
    Prokopenko, Inga
    HUMAN HEREDITY, 2016, 81 (04) : 213 - 213
  • [9] Diabetes-cancer multi-phenotype GWAS in EPIC study: an improved power for defining genetic causes of multi-morbidity
    Demirkan, Ayse
    Zudina, Liudmilla
    Pupko, Igor
    Balkhiyarova, Zhanna
    Ulrich, Anna
    Froguel, Philippe
    Riboli, Elio
    Kaakinen, Marika
    Prokopenko, Inga
    EUROPEAN JOURNAL OF HUMAN GENETICS, 2022, 30 (SUPPL 1) : 494 - 494
  • [10] SCOPA software for multi-phenotype analysis reveals shared genetic loci between type 2 diabetes and colorectal cancer in the UK Biobank
    Lagou, Vasiliki
    Tan, Jia Qi
    Zudina, Liudmila
    Balkhiyarova, Zhanna
    Magi, Reedik
    Demirkan, Ayse
    Prokopenko, Inga
    HUMAN HEREDITY, 2023, 88 (SUPPL 1) : 10 - 10
12