Evidence map›Paper›PMID 32227112›Full record

ArticleHuman molecular genetics2020

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

Matthew A Lee, George McMahon, Ville Karhunen, Kaitlin H Wade, Laura J Corbin, David A Hughes, George Davey Smith, Debbie A Lawlor, Marjo-Riitta Jarvelin, Nicholas J Timpson

Open access · hybridAbstract read
In one paragraph

Article in Human molecular genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.6field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 2 countries.

Matthew A LeeMRC Integrative Epidemiology Unit at University of Bristol, Bristol BS8 2BN, UK.
George McMahonMRC Integrative Epidemiology Unit at University of Bristol, Bristol BS8 2BN, UK.
Ville KarhunenFaculty of Medicine, School of Public Health, Imperial College London, 156 Norfolk Place, St Mary's Campus, London W2 1PG, UK.
Kaitlin H WadeMRC Integrative Epidemiology Unit at University of Bristol, Bristol BS8 2BN, UK.
Laura J CorbinMRC Integrative Epidemiology Unit at University of Bristol, Bristol BS8 2BN, UK.
David A HughesMRC Integrative Epidemiology Unit at University of Bristol, Bristol BS8 2BN, UK.
George Davey SmithMRC Integrative Epidemiology Unit at University of Bristol, Bristol BS8 2BN, UK.
Debbie A LawlorMRC Integrative Epidemiology Unit at University of Bristol, Bristol BS8 2BN, UK.
Marjo-Riitta JarvelinFaculty of Medicine, School of Public Health, Imperial College London, 156 Norfolk Place, St Mary's Campus, London W2 1PG, UK.
Nicholas J TimpsonMedical 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.
University of Bristol · GBSt Mary's Hospital · GBMRC Integrative Epidemiology Unit

Funding

Cancer Research UK C18281/A19169Department of Health S- BRC-1215-20011Medical Research Council MC_PC_15018Medical Research Council MC_PC_19009Medical Research Council MC_UU_00011/1Medical Research Council MC_UU_00011/6Medical Research Council MC_UU_12013/1-6Medical Research Council MC_UU_12013/3Medical Research Council MR/R502340/1Wellcome Trust 102215/2/13/2Wellcome Trust 202802/Z/16/ZWellcome Trust 217065/Z/19/ZWellcome Trust WT08806
6 · The paper itself

Abstract

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.

Indexed as

AdolescentAdultBody Mass IndexChromosomes, Human, Pair 16Diabetes Mellitus, Type 2FemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeGlycosuriaHumansPolymorphism, Single NucleotidePregnancyPregnancy ComplicationsSodium-Glucose Transporter 2Young AdultSLC5A2 protein, humanSodium-Glucose Transporter 2

Identifiers

PMID32227112
PMCPMC7390941
OpenAlexW3014021782

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.