Identification and functional analysis of glycemic trait loci in the China Health and Nutrition Survey.
To identify genetic contributions to type 2 diabetes (T2D) and related glycemic traits (fasting glucose, fasting insulin, and HbA1c), we conducted genome-wide association analyses (GWAS) in up to 7,178 Chinese subjects from nine provinces in the China Health and Nutrition Survey (CHNS). We examined...
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doaj-2f4c9552e17c4607a5f338d225ffa92d2021-04-21T14:22:23ZengPublic Library of Science (PLoS)PLoS Genetics1553-73901553-74042018-04-01144e100727510.1371/journal.pgen.1007275Identification and functional analysis of glycemic trait loci in the China Health and Nutrition Survey.Cassandra N SpracklenJinxiu ShiSwarooparani VadlamudiYing WuMeng ZouChelsea K RaulersonJames P DavisMonica ZeynalzadehKayla JacksonWentao YuanHaifeng WangWeihua ShouYing WangJingchun LuoLeslie A LangeEthan M LangeBarry M PopkinPenny Gordon-LarsenShufa DuWei HuangKaren L MohlkeTo identify genetic contributions to type 2 diabetes (T2D) and related glycemic traits (fasting glucose, fasting insulin, and HbA1c), we conducted genome-wide association analyses (GWAS) in up to 7,178 Chinese subjects from nine provinces in the China Health and Nutrition Survey (CHNS). We examined patterns of population structure within CHNS and found that allele frequencies differed across provinces, consistent with genetic drift and population substructure. We further validated 32 previously described T2D- and glycemic trait-loci, including G6PC2 and SIX3-SIX2 associated with fasting glucose. At G6PC2, we replicated a known fasting glucose-associated variant (rs34177044) and identified a second signal (rs2232326), a low-frequency (4%), probably damaging missense variant (S324P). A variant within the lead fasting glucose-associated signal at SIX3-SIX2 co-localized with pancreatic islet expression quantitative trait loci (eQTL) for SIX3, SIX2, and three noncoding transcripts. To identify variants functionally responsible for the fasting glucose association at SIX3-SIX2, we tested five candidate variants for allelic differences in regulatory function. The rs12712928-C allele, associated with higher fasting glucose and lower transcript expression level, showed lower transcriptional activity in reporter assays and increased binding to GABP compared to the rs12712928-G, suggesting that rs12712928-C contributes to elevated fasting glucose levels by disrupting an islet enhancer, resulting in reduced gene expression. Taken together, these analyses identified multiple loci associated with glycemic traits across China, and suggest a regulatory mechanism at the SIX3-SIX2 fasting glucose GWAS locus.https://doi.org/10.1371/journal.pgen.1007275 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Cassandra N Spracklen Jinxiu Shi Swarooparani Vadlamudi Ying Wu Meng Zou Chelsea K Raulerson James P Davis Monica Zeynalzadeh Kayla Jackson Wentao Yuan Haifeng Wang Weihua Shou Ying Wang Jingchun Luo Leslie A Lange Ethan M Lange Barry M Popkin Penny Gordon-Larsen Shufa Du Wei Huang Karen L Mohlke |
spellingShingle |
Cassandra N Spracklen Jinxiu Shi Swarooparani Vadlamudi Ying Wu Meng Zou Chelsea K Raulerson James P Davis Monica Zeynalzadeh Kayla Jackson Wentao Yuan Haifeng Wang Weihua Shou Ying Wang Jingchun Luo Leslie A Lange Ethan M Lange Barry M Popkin Penny Gordon-Larsen Shufa Du Wei Huang Karen L Mohlke Identification and functional analysis of glycemic trait loci in the China Health and Nutrition Survey. PLoS Genetics |
author_facet |
Cassandra N Spracklen Jinxiu Shi Swarooparani Vadlamudi Ying Wu Meng Zou Chelsea K Raulerson James P Davis Monica Zeynalzadeh Kayla Jackson Wentao Yuan Haifeng Wang Weihua Shou Ying Wang Jingchun Luo Leslie A Lange Ethan M Lange Barry M Popkin Penny Gordon-Larsen Shufa Du Wei Huang Karen L Mohlke |
author_sort |
Cassandra N Spracklen |
title |
Identification and functional analysis of glycemic trait loci in the China Health and Nutrition Survey. |
title_short |
Identification and functional analysis of glycemic trait loci in the China Health and Nutrition Survey. |
title_full |
Identification and functional analysis of glycemic trait loci in the China Health and Nutrition Survey. |
title_fullStr |
Identification and functional analysis of glycemic trait loci in the China Health and Nutrition Survey. |
title_full_unstemmed |
Identification and functional analysis of glycemic trait loci in the China Health and Nutrition Survey. |
title_sort |
identification and functional analysis of glycemic trait loci in the china health and nutrition survey. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS Genetics |
issn |
1553-7390 1553-7404 |
publishDate |
2018-04-01 |
description |
To identify genetic contributions to type 2 diabetes (T2D) and related glycemic traits (fasting glucose, fasting insulin, and HbA1c), we conducted genome-wide association analyses (GWAS) in up to 7,178 Chinese subjects from nine provinces in the China Health and Nutrition Survey (CHNS). We examined patterns of population structure within CHNS and found that allele frequencies differed across provinces, consistent with genetic drift and population substructure. We further validated 32 previously described T2D- and glycemic trait-loci, including G6PC2 and SIX3-SIX2 associated with fasting glucose. At G6PC2, we replicated a known fasting glucose-associated variant (rs34177044) and identified a second signal (rs2232326), a low-frequency (4%), probably damaging missense variant (S324P). A variant within the lead fasting glucose-associated signal at SIX3-SIX2 co-localized with pancreatic islet expression quantitative trait loci (eQTL) for SIX3, SIX2, and three noncoding transcripts. To identify variants functionally responsible for the fasting glucose association at SIX3-SIX2, we tested five candidate variants for allelic differences in regulatory function. The rs12712928-C allele, associated with higher fasting glucose and lower transcript expression level, showed lower transcriptional activity in reporter assays and increased binding to GABP compared to the rs12712928-G, suggesting that rs12712928-C contributes to elevated fasting glucose levels by disrupting an islet enhancer, resulting in reduced gene expression. Taken together, these analyses identified multiple loci associated with glycemic traits across China, and suggest a regulatory mechanism at the SIX3-SIX2 fasting glucose GWAS locus. |
url |
https://doi.org/10.1371/journal.pgen.1007275 |
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