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Variants influencing age at diagnosis of HNF1A-MODY
AH. Ludwig-Słomczyńska, MT. Seweryn, P. Radkowski, P. Kapusta, J. Machlowska, S. Pruhova, D. Gasperikova, C. Bellanne-Chantelot, A. Hattersley, B. Kandasamy, L. Letourneau-Freiberg, L. Philipson, A. Doria, PP. Wołkow, MT. Małecki, T. Klupa
Language English Country England, Great Britain
Document type Journal Article, Research Support, N.I.H., Extramural, Research Support, Non-U.S. Gov't
Grant support
R01 DK104942
NIDDK NIH HHS - United States
P30 DK020595
NIDDK NIH HHS - United States
HHSN268201000029C
NHLBI NIH HHS - United States
HHSN261200800001E
NCI NIH HHS - United States
NLK
BioMedCentral
from 1994-11-01
BioMedCentral Open Access
from 2018
Directory of Open Access Journals
from 2000
Free Medical Journals
from 1994
PubMed Central
from 1994
Europe PubMed Central
from 1994
ProQuest Central
from 2011-01-01
Open Access Digital Library
from 2000-01-01
Medline Complete (EBSCOhost)
from 2007-09-01
Health & Medicine (ProQuest)
from 2011-01-01
ROAD: Directory of Open Access Scholarly Resources
from 1994
Springer Nature OA/Free Journals
from 1994-11-01
- MeSH
- Genome-Wide Association Study * MeSH
- Diabetes Mellitus, Type 2 * diagnosis genetics MeSH
- Phenotype MeSH
- Hepatocyte Nuclear Factor 1-alpha genetics MeSH
- Humans MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Research Support, N.I.H., Extramural MeSH
BACKGROUND: HNF1A-MODY is a monogenic form of diabetes caused by variants in the HNF1A gene. Different HNF1A variants are associated with differences in age of disease onset, but other factors are postulated to influence this trait. Here, we searched for genetic variants influencing age of HNF1A-MODY onset. METHODS: Blood samples from 843 HNF1A-MODY patients from Czech Republic, France, Poland, Slovakia, the UK and the US were collected. A validation set consisted of 121 patients from the US. We conducted a genome-wide association study in 843 HNF1A-MODY patients. Samples were genotyped using Illumina Human Core arrays. The core analysis was performed using the GENESIS package in R statistical software. Kinship coefficients were estimated with the KING and PC-Relate algorithms. In the linear mixed model, we accounted for year of birth, sex, and location of the HNF1A causative variant. RESULTS: A suggestive association with age of disease onset was observed for rs2305198 (p = 2.09E-07) and rs7079157 (p = 3.96E-06) in the HK1 gene, rs2637248 in the LRMDA gene (p = 2.44E-05), and intergenic variant rs2825115 (p = 2.04E-05). Variant rs2637248 reached nominal significance (p = 0.019), while rs7079157 (p = 0.058) and rs2825115 (p = 0.068) showed suggestive association with age at diabetes onset in the validation set. CONCLUSIONS: rs2637248 in the LRMDA gene is associated with age at diabetes onset in HNF1A-MODY patients.
Center For Medical Genomics OMICRON Jagiellonian University Medical College Kraków Poland
Department of Genetics Hôpital Pitié Salpêtrière Paris France
Department of Metabolic Diseases Jagiellonian University Medical College Kraków Poland
Department of Pharmacogenomics The Ohio State University Columbus OH USA
Exeter Medical School Exeter UK
References provided by Crossref.org
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- $a BACKGROUND: HNF1A-MODY is a monogenic form of diabetes caused by variants in the HNF1A gene. Different HNF1A variants are associated with differences in age of disease onset, but other factors are postulated to influence this trait. Here, we searched for genetic variants influencing age of HNF1A-MODY onset. METHODS: Blood samples from 843 HNF1A-MODY patients from Czech Republic, France, Poland, Slovakia, the UK and the US were collected. A validation set consisted of 121 patients from the US. We conducted a genome-wide association study in 843 HNF1A-MODY patients. Samples were genotyped using Illumina Human Core arrays. The core analysis was performed using the GENESIS package in R statistical software. Kinship coefficients were estimated with the KING and PC-Relate algorithms. In the linear mixed model, we accounted for year of birth, sex, and location of the HNF1A causative variant. RESULTS: A suggestive association with age of disease onset was observed for rs2305198 (p = 2.09E-07) and rs7079157 (p = 3.96E-06) in the HK1 gene, rs2637248 in the LRMDA gene (p = 2.44E-05), and intergenic variant rs2825115 (p = 2.04E-05). Variant rs2637248 reached nominal significance (p = 0.019), while rs7079157 (p = 0.058) and rs2825115 (p = 0.068) showed suggestive association with age at diabetes onset in the validation set. CONCLUSIONS: rs2637248 in the LRMDA gene is associated with age at diabetes onset in HNF1A-MODY patients.
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