Common variation at 16p11.2 is associated with glycosuria in pregnancy: findings from a genome-wide association study in European women.


Journal

Human molecular genetics
ISSN: 1460-2083
Titre abrégé: Hum Mol Genet
Pays: England
ID NLM: 9208958

Informations de publication

Date de publication:
29 07 2020
Historique:
received: 22 07 2019
revised: 28 02 2020
accepted: 25 03 2020
pubmed: 1 4 2020
medline: 24 8 2021
entrez: 1 4 2020
Statut: ppublish

Résumé

Glycosuria is a condition where glucose is detected in urine at higher concentrations than normal (i.e. not detectable). Glycosuria at some point during pregnancy has an estimated prevalence of 50% and is associated with adverse outcomes in both mothers and offspring. Little is currently known about the genetic contribution to this trait or the extent to which it overlaps with other seemingly related traits, e.g. diabetes. We performed a genome-wide association study (GWAS) for self-reported glycosuria in pregnant mothers from the Avon Longitudinal Study of Parents and Children (cases/controls = 1249/5140). We identified two loci, one of which (lead SNP = rs13337037; chromosome 16; odds ratio of glycosuria per effect allele: 1.42; 95% CI: 1.30, 1.56; P = 1.97 × 10-13) was then validated using an obstetric measure of glycosuria measured in the same cohort (227/6639). We performed a secondary GWAS in the 1986 Northern Finland Birth Cohort (NFBC1986; 747/2991) using midwife-reported glycosuria and offspring genotype as a proxy for maternal genotype. The combined results revealed evidence for a consistent effect on glycosuria at the chromosome 16 locus. In follow-up analyses, we saw little evidence of shared genetic underpinnings with the exception of urinary albumin-to-creatinine ratio (Rg = 0.64; SE = 0.22; P = 0.0042), a biomarker of kidney disease. In conclusion, we identified a genetic association with self-reported glycosuria during pregnancy, with the lead SNP located 15kB upstream of SLC5A2, a target of antidiabetic drugs. The lack of strong genetic correlation with seemingly related traits such as type 2 diabetes suggests different genetic risk factors exist for glycosuria during pregnancy.

Identifiants

pubmed: 32227112
pii: 5813101
doi: 10.1093/hmg/ddaa054
pmc: PMC7390941
doi:

Substances chimiques

SLC5A2 protein, human 0
Sodium-Glucose Transporter 2 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2098-2106

Subventions

Organisme : Wellcome Trust
ID : 217065/Z/19/Z
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_PC_19009
Pays : United Kingdom
Organisme : Wellcome Trust
ID : WT08806
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/R502340/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_UU_12013/1-6
Pays : United Kingdom
Organisme : Department of Health
ID : S- BRC-1215-20011
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_UU_12013/3
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 202802/Z/16/Z
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 102215/2/13/2
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_UU_00011/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_UU_00011/6
Pays : United Kingdom
Organisme : Cancer Research UK
ID : C18281/A19169
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_PC_15018
Pays : United Kingdom

Informations de copyright

© The Author(s) 2020. Published by Oxford University Press.

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Auteurs

Matthew A Lee (MA)

MRC Integrative Epidemiology Unit at University of Bristol, Bristol BS8 2BN, UK.
Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2BN, UK.

George McMahon (G)

MRC Integrative Epidemiology Unit at University of Bristol, Bristol BS8 2BN, UK.
Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2BN, UK.

Ville Karhunen (V)

Faculty of Medicine, School of Public Health, Imperial College London, 156 Norfolk Place, St Mary's Campus, London W2 1PG, UK.
Faculty of Medicine, Northern Finland Birth Cohort Studies and Center for Life Course Health Research, University of Oulu, Aapistie 5 B, Oulu Fin-902200, Finland.

Kaitlin H Wade (KH)

MRC Integrative Epidemiology Unit at University of Bristol, Bristol BS8 2BN, UK.
Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2BN, UK.

Laura J Corbin (LJ)

MRC Integrative Epidemiology Unit at University of Bristol, Bristol BS8 2BN, UK.
Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2BN, UK.

David A Hughes (DA)

MRC Integrative Epidemiology Unit at University of Bristol, Bristol BS8 2BN, UK.
Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2BN, UK.

George Davey Smith (GD)

MRC Integrative Epidemiology Unit at University of Bristol, Bristol BS8 2BN, UK.
Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2BN, UK.

Debbie A Lawlor (DA)

MRC Integrative Epidemiology Unit at University of Bristol, Bristol BS8 2BN, UK.
Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2BN, UK.

Marjo-Riitta Jarvelin (MR)

Faculty of Medicine, School of Public Health, Imperial College London, 156 Norfolk Place, St Mary's Campus, London W2 1PG, UK.
Faculty of Medicine, Northern Finland Birth Cohort Studies and Center for Life Course Health Research, University of Oulu, Aapistie 5 B, Oulu Fin-902200, Finland.

Nicholas J Timpson (NJ)

Medical Research Council Integrative Epidemiology Unit, Avon Longitudinal Study of Parents and Children, Population Health Science, Bristol Medical School, Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK.

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Classifications MeSH