Journal article
Genome-wide meta-analysis identifies BARX1 and EML4-MTA3 as new loci associated with infantile hypertrophic pyloric stenosis
Human molecular genetics, Vol.28(2), pp.332-340
01/15/2019
DOI: 10.1093/hmg/ddy347
PMCID: PMC6322072
PMID: 30281099
Abstract
Infantile hypertrophic pyloric stenosis (IHPS) is a disorder of young infants with a population incidence of ∼2/1000 live births, caused by hypertrophy of the pyloric sphincter smooth muscle. Reported genetic loci associated with IHPS explain only a minor proportion of IHPS risk. To identify new risk loci, we carried out a genome-wide meta-analysis on 1395 surgery-confirmed cases and 4438 controls, with replication in a set of 2427 cases and 2524 controls. We identified and replicated six independent genomic loci associated with IHPS risk at genome wide significance (P < 5 × 10-8), including novel associations with two single nucleotide polymorphisms (SNPs). One of these SNPs, rs6736913 [odds ratio (OR) = 2.32; P = 3.0 × 10-15], is a low frequency missense variant in EML4 at 2p21. The second SNP, rs1933683 (OR = 1.34; P = 3.1 × 10-9) is 1 kb downstream of BARX1 at 9q22.32, an essential gene for stomach formation in embryogenesis. Using the genome-wide complex trait analysis method, we estimated the IHPS SNP heritability to be 30%, and using the linkage disequilibrium score regression method, we found support for a previously reported genetic correlation of IHPS with lipid metabolism. By combining the largest collection of IHPS cases to date (3822 cases), with results generalized across populations of different ancestry, we elucidate novel mechanistic avenues of IHPS disease architecture.
Details
- Title: Subtitle
- Genome-wide meta-analysis identifies BARX1 and EML4-MTA3 as new loci associated with infantile hypertrophic pyloric stenosis
- Creators
- João Fadista - Department of Clinical Sciences, Lund University Diabetes Centre, Malmö, SwedenLine Skotte - Department of Epidemiology Research, Statens Serum Institut, Copenhagen, DenmarkFrank Geller - Department of Epidemiology Research, Statens Serum Institut, Copenhagen, DenmarkJonas Bybjerg-Grauholm - Department of Congenital Disorders, Danish Center for Neonatal Screening, Statens Serum Institut, Copenhagen, DenmarkSanne Gørtz - Department of Epidemiology Research, Statens Serum Institut, Copenhagen, DenmarkPaul A Romitti - Department of Epidemiology, College of Public Health, The University of Iowa, Iowa City, IA, USAMichele Caggana - Division of Genetics, Wadsworth Center, New York State Department of Health, Albany, NY, USADenise M Kay - Division of Genetics, Wadsworth Center, New York State Department of Health, Albany, NY, USAHans Matsson - Department of Women's and Children's Health, and Center for Molecular Medicine, Karolinska Institutet, Stockholm, SwedenHeather A Boyd - Department of Epidemiology Research, Statens Serum Institut, Copenhagen, DenmarkDavid M Hougaard - Department of Congenital Disorders, Danish Center for Neonatal Screening, Statens Serum Institut, Copenhagen, DenmarkAgneta Nordenskjöld - Department of Pediatric Surgery, Astrid Lindgren Children´s Hospital, Karolinska University Hospital, Stockholm, SwedenJames L Mills - Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USAMads Melbye - Department of Medicine, Stanford University School of Medicine, Stanford, CA, USABjarke Feenstra - Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark
- Resource Type
- Journal article
- Publication Details
- Human molecular genetics, Vol.28(2), pp.332-340
- Publisher
- England
- DOI
- 10.1093/hmg/ddy347
- PMID
- 30281099
- PMCID
- PMC6322072
- ISSN
- 1460-2083
- eISSN
- 1460-2083
- Grant note
- P30 ES005605 / NIEHS NIH HHS HHSN275201100001I / NICHD NIH HHS HHSN275201100001C / NICHD NIH HHS HHSN275201100001G / NICHD NIH HHS U01 DD001035 / NCBDD CDC HHS U01 DD001223 / NCBDD CDC HHS
- Language
- English
- Date published
- 01/15/2019
- Academic Unit
- Epidemiology; Biostatistics
- Record Identifier
- 9983995051702771
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