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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Main Authors: 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
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2018-04-01
Series:PLoS Genetics
Online Access:https://doi.org/10.1371/journal.pgen.1007275
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spelling 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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