Whole genome sequence analyses of eGFR in 23,732 people representing multiple ancestries in the NHLBI trans-omics for precision medicine (TOPMed) consortium.
Alleles
Gene Frequency
Genetic Predisposition to Disease
Genome-Wide Association Study
Genomics
/ methods
Glomerular Filtration Rate
Humans
Male
National Heart, Lung, and Blood Institute (U.S.)
Polymorphism, Single Nucleotide
Precision Medicine
/ methods
Public Health Surveillance
Quantitative Trait, Heritable
United States
/ epidemiology
Whole Genome Sequencing
Ancestry-specific variants
Kidney traits
Rare variants
Whole genome sequencing
Journal
EBioMedicine
ISSN: 2352-3964
Titre abrégé: EBioMedicine
Pays: Netherlands
ID NLM: 101647039
Informations de publication
Date de publication:
Jan 2021
Jan 2021
Historique:
received:
06
07
2020
revised:
10
11
2020
accepted:
18
11
2020
pubmed:
9
1
2021
medline:
6
10
2021
entrez:
8
1
2021
Statut:
ppublish
Résumé
Genetic factors that influence kidney traits have been understudied for low frequency and ancestry-specific variants. We combined whole genome sequencing (WGS) data from 23,732 participants from 10 NHLBI Trans-Omics for Precision Medicine (TOPMed) Program multi-ethnic studies to identify novel loci for estimated glomerular filtration rate (eGFR). Participants included European, African, East Asian, and Hispanic ancestries. We applied linear mixed models using a genetic relationship matrix estimated from the WGS data and adjusted for age, sex, study, and ethnicity. When testing single variants, we identified three novel loci driven by low frequency variants more commonly observed in non-European ancestry (PRKAA2, rs180996919, minor allele frequency [MAF] 0.04%, P = 6.1 × 10 This study highlights challenges in studying variants influencing kidney traits that are low frequency in populations and more common in non-European ancestry.
Sections du résumé
BACKGROUND
BACKGROUND
Genetic factors that influence kidney traits have been understudied for low frequency and ancestry-specific variants.
METHODS
METHODS
We combined whole genome sequencing (WGS) data from 23,732 participants from 10 NHLBI Trans-Omics for Precision Medicine (TOPMed) Program multi-ethnic studies to identify novel loci for estimated glomerular filtration rate (eGFR). Participants included European, African, East Asian, and Hispanic ancestries. We applied linear mixed models using a genetic relationship matrix estimated from the WGS data and adjusted for age, sex, study, and ethnicity.
FINDINGS
RESULTS
When testing single variants, we identified three novel loci driven by low frequency variants more commonly observed in non-European ancestry (PRKAA2, rs180996919, minor allele frequency [MAF] 0.04%, P = 6.1 × 10
INTERPRETATION
CONCLUSIONS
This study highlights challenges in studying variants influencing kidney traits that are low frequency in populations and more common in non-European ancestry.
Identifiants
pubmed: 33418499
pii: S2352-3964(20)30533-8
doi: 10.1016/j.ebiom.2020.103157
pmc: PMC7804602
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
103157Subventions
Organisme : NHLBI NIH HHS
ID : R01 HL120393
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK117445
Pays : United States
Organisme : NHGRI NIH HHS
ID : R01 HG010869
Pays : United States
Organisme : NHLBI NIH HHS
ID : R21 HL123677
Pays : United States
Organisme : NIMHD NIH HHS
ID : R01 MD012765
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL117626
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL149683
Pays : United States
Organisme : NIA NIH HHS
ID : K01 AG059898
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL131136
Pays : United States
Organisme : NHGRI NIH HHS
ID : R01 HG009974
Pays : United States
Organisme : NHLBI NIH HHS
ID : R21 HL140385
Pays : United States
Organisme : NIDDK NIH HHS
ID : P30 DK072488
Pays : United States
Organisme : NHLBI NIH HHS
ID : HHSN268201800001C
Pays : United States
Informations de copyright
Copyright © 2020 The Author(s). Published by Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest GRA is employed by Regeneron Pharmaceuticals and he owns stock and stock options for Regeneron Pharmaceuticals. BMP serves on the Steering Committee of the Yale Open Data Access Project funded by Johnson & Johnson. BMP reports serving on the Steering Committee of the Yale Open Data Access Project funded by Johnson & Johnson. Y-DIC, LRY, JCM, BDM, JIR, KDT, JPL, EB, JAS, GRA report grants from NIH during the conduct of the study. Remaining authors have nothing to disclose.