Transferability of genetic loci and polygenic scores for cardiometabolic traits in British Pakistani and Bangladeshi individuals

被引:0
|
作者
Qin Qin Huang
Neneh Sallah
Diana Dunca
Bhavi Trivedi
Karen A. Hunt
Sam Hodgson
Samuel A. Lambert
Elena Arciero
John Wright
Chris Griffiths
Richard C. Trembath
Harry Hemingway
Michael Inouye
Sarah Finer
David A. van Heel
R. Thomas Lumbers
Hilary C. Martin
Karoline Kuchenbaecker
机构
[1] Wellcome Sanger Institute,Department of Human Genetics
[2] University College London,Institute of Health Informatics
[3] University College London,UCL Genetics Institute
[4] Queen Mary University of London,Blizard Institute, Barts and the London School of Medicine and Dentistry
[5] University of Southampton,Primary Care Research Centre
[6] University of Cambridge,Cambridge Baker Systems Genomics Initiative, Department of Public Health and Primary Care
[7] University of Cambridge,British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care
[8] Wellcome Genome Campus and University of Cambridge,Health Data Research UK Cambridge
[9] Bradford Teaching Hospitals National Health Service (NHS) Foundation Trust,Bradford Institute for Health Research
[10] Queen Mary University of London,Institute of Population Health Sciences, Barts and the London School of Medicine and Dentistry
[11] King’s College London,Department of Medical and Molecular Genetics
[12] University College London,Health Data Research UK
[13] University College London Hospitals Biomedical Research Centre (UCLH BRC),British Heart Foundation Cambridge Centre of Research Excellence, Department of Clinical Medicine
[14] University of Cambridge,Cambridge Baker Systems Genomics Initiative
[15] Baker Heart and Diabetes Institute,British Heart Foundation Research Accelerator
[16] University College London,Division of Psychiatry
[17] University College London,undefined
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Individuals with South Asian ancestry have a higher risk of heart disease than other groups but have been largely excluded from genetic research. Using data from 22,000 British Pakistani and Bangladeshi individuals with linked electronic health records from the Genes & Health cohort, we conducted genome-wide association studies of coronary artery disease and its key risk factors. Using power-adjusted transferability ratios, we found evidence for transferability for the majority of cardiometabolic loci powered to replicate. The performance of polygenic scores was high for lipids and blood pressure, but lower for BMI and coronary artery disease. Adding a polygenic score for coronary artery disease to clinical risk factors showed significant improvement in reclassification. In Mendelian randomisation using transferable loci as instruments, our findings were consistent with results in European-ancestry individuals. Taken together, trait-specific transferability of trait loci between populations is an important consideration with implications for risk prediction and causal inference.
引用
收藏
相关论文
共 47 条
  • [31] Machine learning optimized polygenic scores for blood cell traits identify sex-specific trajectories and genetic correlations with disease
    Xu, Yu
    Vuckovic, Dragana
    Ritchie, Scott C.
    Akbari, Parsa
    Jiang, Tao
    Grealey, Jason
    Butterworth, Adam S.
    Ouwehand, Willem H.
    Roberts, David J.
    Di Angelantonio, Emanuele
    Danesh, John
    Soranzo, Nicole
    Inouye, Michael
    CELL GENOMICS, 2022, 2 (01):
  • [32] Data-driven clustering using clinical information and polygenic risk scores predicts complications in people with type 2 diabetes of Bangladeshi and Pakistani origin: Results from the Genes & Health study
    Hodgson, S.
    Huang, Q. Q.
    van Heel, D. A.
    Mathur, R.
    Martin, H. C.
    Finer, S.
    DIABETIC MEDICINE, 2021, 38
  • [33] Genome-wide analysis in over 1 million individuals of European ancestry yields improved polygenic risk scores for blood pressure traits
    Keaton, Jacob M.
    Kamali, Zoha
    Xie, Tian
    Vaez, Ahmad
    Williams, Ariel
    Goleva, Slavina B.
    Ani, Alireza
    Evangelou, Evangelos
    Hellwege, Jacklyn N.
    Yengo, Loic
    Young, William J.
    Traylor, Matthew
    Giri, Ayush
    Zheng, Zhili
    Zeng, Jian
    Chasman, Daniel I.
    Morris, Andrew P.
    Caulfield, Mark J.
    Hwang, Shih-Jen
    Kooner, Jaspal S.
    Conen, David
    Attia, John R.
    Morrison, Alanna C.
    Loos, Ruth J. F.
    Kristiansson, Kati
    Schmidt, Reinhold
    Hicks, Andrew A.
    Pramstaller, Peter P.
    Nelson, Christopher P.
    Samani, Nilesh J.
    Risch, Lorenz
    Gyllensten, Ulf
    Melander, Olle
    Riese, Harriette
    Wilson, James F.
    Campbell, Harry
    Rich, Stephen S.
    Psaty, Bruce M.
    Lu, Yingchang
    Rotter, Jerome I.
    Guo, Xiuqing
    Rice, Kenneth M.
    Vollenweider, Peter
    Sundstrom, Johan
    Langenberg, Claudia
    Tobin, Martin D.
    Giedraitis, Vilmantas
    Luan, Jian'an
    Tuomilehto, Jaakko
    Kutalik, Zoltan
    NATURE GENETICS, 2024, : 778 - 791
  • [34] Analysis of rare genetic variation underlying cardiometabolic diseases and traits among 200,000 individuals in the UK Biobank
    Jurgens, Sean J.
    Choi, Seung Hoan
    Morrill, Valerie N.
    Chaffin, Mark
    Pirruccello, James P.
    Halford, Jennifer L.
    Weng, Lu-Chen
    Nauffal, Victor
    Roselli, Carolina
    Hall, Amelia W.
    Oetjens, Matthew T.
    Lagerman, Braxton
    VanMaanen, David P.
    Center, Regeneron Genetics
    Aragam, Krishna G.
    Lunetta, Kathryn L.
    Haggerty, Christopher M.
    Lubitz, Steven A.
    Ellinor, Patrick T.
    NATURE GENETICS, 2022, 54 (03) : 240 - +
  • [35] Analysis of rare genetic variation underlying cardiometabolic diseases and traits among 200,000 individuals in the UK Biobank
    Sean J. Jurgens
    Seung Hoan Choi
    Valerie N. Morrill
    Mark Chaffin
    James P. Pirruccello
    Jennifer L. Halford
    Lu-Chen Weng
    Victor Nauffal
    Carolina Roselli
    Amelia W. Hall
    Matthew T. Oetjens
    Braxton Lagerman
    David P. vanMaanen
    Krishna G. Aragam
    Kathryn L. Lunetta
    Christopher M. Haggerty
    Steven A. Lubitz
    Patrick T. Ellinor
    Nature Genetics, 2022, 54 : 240 - 250
  • [36] Validating and automating learning of cardiometabolic polygenic risk scores from direct-to-consumer genetic and phenotypic data: implications for scaling precision health research
    Arturo Lopez-Pineda
    Manvi Vernekar
    Sonia Moreno-Grau
    Agustin Rojas-Muñoz
    Babak Moatamed
    Ming Ta Michael Lee
    Marco A. Nava-Aguilar
    Gilberto Gonzalez-Arroyo
    Kensuke Numakura
    Yuta Matsuda
    Alexander Ioannidis
    Nicholas Katsanis
    Tomohiro Takano
    Carlos D. Bustamante
    Human Genomics, 16
  • [37] Validating and automating learning of cardiometabolic polygenic risk scores from direct-to-consumer genetic and phenotypic data: implications for scaling precision health research
    Lopez-Pineda, Arturo
    Vernekar, Manvi
    Moreno-Grau, Sonia
    Rojas-Munoz, Agustin
    Moatamed, Babak
    Lee, Ming Ta Michael
    Nava-Aguilar, Marco A.
    Gonzalez-Arroyo, Gilberto
    Numakura, Kensuke
    Matsuda, Yuta
    Ioannidis, Alexander
    Katsanis, Nicholas
    Takano, Tomohiro
    Bustamante, Carlos D.
    HUMAN GENOMICS, 2022, 16 (01)
  • [38] Enhanced fracture risk prediction: a novel multi-trait genetic approach integrating polygenic scores of fracture-related traits
    Xiao, Xiangxue
    Wu, Qing
    OSTEOPOROSIS INTERNATIONAL, 2024, 35 (08) : 1417 - 1429
  • [39] Mapping the genetic architecture of suicide attempt and suicide death using polygenic risk scores for clinically-related psychiatric disorders and traits
    Otsuka, Ikuo
    Galfalvy, Hanga
    Guo, Jia
    Akiyama, Masato
    Rujescu, Dan
    Turecki, Gustavo
    Hishimoto, Akitoyo
    Mann, J. John
    PSYCHOLOGICAL MEDICINE, 2023, 53 (06) : 2689 - 2697
  • [40] ASSOCIATIONS BETWEEN GENETIC RISK FOR PSYCHIATRIC DISORDERS AND CHILDHOOD NEURODEVELOPMENT: INVESTIGATING POLYGENIC RISK SCORES FOR PSYCHIATRIC DISORDERS AND TRAITS IN GENERAL POPULATION SAMPLES
    Riglin, Lucy
    Collishaw, Stephan
    Thapar, Ajay K.
    Maughan, Barbara
    O'Donovan, Michael C.
    Thapar, Anita
    EUROPEAN NEUROPSYCHOPHARMACOLOGY, 2019, 29 : S753 - S754