Comparing distributions of polygenic risk scores of type 2 diabetes and coronary heart disease within different populations

PLoS ONE

Volumn 12, Issue 7, 2017, Pages

  Reisberg, Sulev ^a,b,c   Iljasenko, Tatjana ^a   Läll, Kristi ^a   Fischer, Krista ^a   Vilo, Jaak ^a,b,c  

^a UNIVERSITY OF TARTU   (Estonia)

^b Software Technology and Applications Competence Center   (Estonia)

^c Quretec Ltd ^*  (Estonia)

Author keywords

[No Author keywords available]

Indexed keywords

AFRICA; ARTICLE; ASIA; COMPARATIVE STUDY; EAST ASIA; ESTONIA; EUROPE; GENETIC RISK; HEALTH HAZARD; HUMAN; ISCHEMIC HEART DISEASE; NON INSULIN DEPENDENT DIABETES MELLITUS; POLYGENIC RISK SCORE; POPULATION DIFFERENTIATION; POPULATION RESEARCH; POPULATION STRUCTURE; SCORING SYSTEM; SINGLE NUCLEOTIDE POLYMORPHISM; SOUTH ASIA; WESTERN HEMISPHERE; BIOLOGICAL MODEL; CORONARY ARTERY DISEASE; FAR EAST; GENE FREQUENCY; GENETIC PREDISPOSITION; GENETICS; MULTIFACTORIAL INHERITANCE; POPULATION GENETICS; PRINCIPAL COMPONENT ANALYSIS; PROCEDURES; RISK ASSESSMENT; RISK FACTOR; STATISTICS AND NUMERICAL DATA;

AFRICA; AMERICAS; ASIA; CORONARY DISEASE; DIABETES MELLITUS, TYPE 2; ESTONIA; EUROPE; FAR EAST; GENE FREQUENCY; GENETIC PREDISPOSITION TO DISEASE; GENETICS, POPULATION; HUMANS; MODELS, GENETIC; MULTIFACTORIAL INHERITANCE; POLYMORPHISM, SINGLE NUCLEOTIDE; PRINCIPAL COMPONENT ANALYSIS; RISK ASSESSMENT; RISK FACTORS;

EID: 85021801203     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0179238     Document Type: Article

References (21)

1. World Health Organization. Global status report on noncommunicable diseases 2014. World Health Organization; 2014.
2. World Health Organization. Global Report on Diabetes, 2016. World Health Organization; 2016.
3. Lyssenko V, Laakso M. Genetic screening for the risk of type 2 diabetes. Diabetes care. 2013 Aug 1; 36 (Supplement 2): S120–6.
4. Mega JL, Stitziel NO, Smith JG, Chasman DI, Caulfield MJ, Devlin JJ, et al. Genetic risk, coronary heart disease events, and the clinical benefit of statin therapy: an analysis of primary and secondary prevention trials. The Lancet. 2015 Jun 12; 385(9984):2264–71.
5. Wray NR, Yang J, Hayes BJ, Price AL, Goddard ME, Visscher PM. Pitfalls of predicting complex traits from SNPs. Nature Reviews Genetics. 2013 Jul 1; 14(7):507–15. https://doi.org/10.1038/nrg3457 PMID: 23774735
6. Chikowore T, van Zyl T, Feskens EJ, Conradie KR. Predictive utility of a genetic risk score of common variants associated with type 2 diabetes in a black South African population. Diabetes Research and Clinical Practice. 2016 Dec 31; 122:1–8. https://doi.org/10.1016/j.diabres.2016.09.019 PMID: 27744072
7. Läll K, Mägi R, Morris A, Metspalu A, Fischer K. Personalized risk prediction for type 2 diabetes: The potential of genetic risk scores. Genetics in Medicine. 2016 Aug 11.
8. Abraham G, Havulinna AS, Bhalala OG, Byars SG, De Livera AM, Yetukuri L, et al. Genomic prediction of coronary heart disease. European heart journal. 2016 Nov 14; 37(43):3267–78. https://doi.org/10.1093/eurheartj/ehw450 PMID: 27655226
9. Agerbo E, Sullivan PF, Vilhjálmsson BJ, Pedersen CB, Mors O, Børglum AD, et al. Polygenic risk score, parental socioeconomic status, family history of psychiatric disorders, and the risk for schizophrenia: a Danish population-based study and meta-analysis. JAMA psychiatry. 2015 Jul 1; 72(7):635–41. https://doi.org/10.1001/jamapsychiatry.2015.0346 PMID: 25830477
10. Musliner KL, Seifuddin F, Judy JA, Pirooznia M, Goes FS, Zandi PP. Polygenic risk, stressful life events and depressive symptoms in older adults: a polygenic score analysis. Psychological medicine. 2015 Jun 1; 45(08):1709–20.
11. Krapohl E, Plomin R. Genetic link between family socioeconomic status and children’s educational achievement estimated from genome-wide SNPs. Molecular psychiatry. 2016 Mar 1; 21(3):437–43. https://doi.org/10.1038/mp.2015.2 PMID: 25754083
12. Belsky DW, Israel S. Integrating genetics and social science: Genetic risk scores. Biodemography and social biology. 2014 Jul 3; 60(2):137–55. https://doi.org/10.1080/19485565.2014.946591 PMID: 25343363
13. Martin AR, Gignoux CR, Walters RK, Wojcik GL, Neale BM, Gravel S, et al. Human demographic history impacts genetic risk prediction across diverse populations. The American Journal of Human Genetics. 2017 Mar 30.
14. Smith JA, Ware EB, Middha P, Beacher L, Kardia SL. Current applications of genetic risk scores to cardiovascular outcomes and subclinical phenotypes. Current epidemiology reports. 2015 Sep 1; 2 (3):180–90. https://doi.org/10.1007/s40471-015-0046-4 PMID: 26269782
15. Carlson CS, Matise TC, North KE, Haiman CA, Fesinmeyer MD, Buyske S, et al. Generalization and dilution of association results from European GWAS in populations of non-European ancestry: the PAGE study. PLoS Biol. 2013 Sep 17; 11(9):e1001661. https://doi.org/10.1371/journal.pbio.1001661PMID: 24068893
16. 1000 Genomes Project Consortium. A global reference for human genetic variation. Nature. 2015 Oct 1; 526(7571):68–74. https://doi.org/10.1038/nature15393 PMID: 26432245
17. Leitsalu L, Haller T, Esko T, Tammesoo ML, Alavere H, Snieder H, et al. Cohort profile: Estonian biobank of the Estonian Genome Center, University of Tartu. International journal of epidemiology. 2014 Feb 11:dyt268.
18. Sherry ST, Ward MH, Kholodov M, Baker J, Phan L, Smigielski EM, et al. dbSNP: the NCBI database of genetic variation. Nucleic acids research. 2001 Jan 1; 29(1):308–11. PMID: 11125122
19. Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MA, Bender D, et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. The American Journal of Human Genetics. 2007 Sep 30; 81(3):559–75. https://doi.org/10.1086/519795 PMID: 17701901
20. NCD Risk Factor Collaboration. Worldwide trends in diabetes since 1980: a pooled analysis of 751 population-based studies with 4 4 million participants. The Lancet. 2016 Apr 15; 387(10027):1513–30.
21. Lu D, Xu S. Principal component analysis reveals the 1000 Genomes Project does not sufficiently cover the human genetic diversity in Asia. Frontiers in genetics. 2013 Jul 4; 4:127. https://doi.org/10.3389/fgene.2013.00127 PMID: 23847652