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

Lee MA, McMahon G, Karhunen V et al.

32227112 PubMed ID
GWAS Study Type
6389 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

LM
Lee MA
MG
McMahon G
KV
Karhunen V
WK
Wade KH
CL
Corbin LJ
HD
Hughes DA
SG
Smith GD
LD
Lawlor DA
JM
Jarvelin MR
TN
Timpson NJ
Chapter II

Abstract

Summary of the research findings

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.

1,249 European ancestry cases, 5,140 European ancestry controls

Chapter III

Study Statistics

Key metrics and study information

6389
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
U.K., Finland
Recruitment Country
Chapter IV

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