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Higher magnesium intake is associated with lower fasting glucose and insulin, with no evidence of interaction with select genetic loci, in a meta-analysis of 15 CHARGE Consortium Studies.


ABSTRACT: Favorable associations between magnesium intake and glycemic traits, such as fasting glucose and insulin, are observed in observational and clinical studies, but whether genetic variation affects these associations is largely unknown. We hypothesized that single nucleotide polymorphisms (SNPs) associated with either glycemic traits or magnesium metabolism affect the association between magnesium intake and fasting glucose and insulin. Fifteen studies from the CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology) Consortium provided data from up to 52,684 participants of European descent without known diabetes. In fixed-effects meta-analyses, we quantified 1) cross-sectional associations of dietary magnesium intake with fasting glucose (mmol/L) and insulin (ln-pmol/L) and 2) interactions between magnesium intake and SNPs related to fasting glucose (16 SNPs), insulin (2 SNPs), or magnesium (8 SNPs) on fasting glucose and insulin. After adjustment for age, sex, energy intake, BMI, and behavioral risk factors, magnesium (per 50-mg/d increment) was inversely associated with fasting glucose [? = -0.009 mmol/L (95% CI: -0.013, -0.005), P < 0.0001] and insulin [-0.020 ln-pmol/L (95% CI: -0.024, -0.017), P < 0.0001]. No magnesium-related SNP or interaction between any SNP and magnesium reached significance after correction for multiple testing. However, rs2274924 in magnesium transporter-encoding TRPM6 showed a nominal association (uncorrected P = 0.03) with glucose, and rs11558471 in SLC30A8 and rs3740393 near CNNM2 showed a nominal interaction (uncorrected, both P = 0.02) with magnesium on glucose. Consistent with other studies, a higher magnesium intake was associated with lower fasting glucose and insulin. Nominal evidence of TRPM6 influence and magnesium interaction with select loci suggests that further investigation is warranted.

SUBMITTER: Hruby A 

PROVIDER: S-EPMC3713023 | biostudies-literature | 2013 Mar

REPOSITORIES: biostudies-literature

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Higher magnesium intake is associated with lower fasting glucose and insulin, with no evidence of interaction with select genetic loci, in a meta-analysis of 15 CHARGE Consortium Studies.

Hruby Adela A   Ngwa Julius S JS   Renström Frida F   Wojczynski Mary K MK   Ganna Andrea A   Hallmans Göran G   Houston Denise K DK   Jacques Paul F PF   Kanoni Stavroula S   Lehtimäki Terho T   Lemaitre Rozenn N RN   Manichaikul Ani A   North Kari E KE   Ntalla Ioanna I   Sonestedt Emily E   Tanaka Toshiko T   van Rooij Frank J A FJ   Bandinelli Stefania S   Djoussé Luc L   Grigoriou Efi E   Johansson Ingegerd I   Lohman Kurt K KK   Pankow James S JS   Raitakari Olli T OT   Riserus Ulf U   Yannakoulia Mary M   Zillikens M Carola MC   Hassanali Neelam N   Liu Yongmei Y   Mozaffarian Dariush D   Papoutsakis Constantina C   Syvänen Ann-Christine AC   Uitterlinden André G AG   Viikari Jorma J   Groves Christopher J CJ   Hofman Albert A   Lind Lars L   McCarthy Mark I MI   Mikkilä Vera V   Mukamal Kenneth K   Franco Oscar H OH   Borecki Ingrid B IB   Cupples L Adrienne LA   Dedoussis George V GV   Ferrucci Luigi L   Hu Frank B FB   Ingelsson Erik E   Kähönen Mika M   Kao W H Linda WH   Kritchevsky Stephen B SB   Orho-Melander Marju M   Prokopenko Inga I   Rotter Jerome I JI   Siscovick David S DS   Witteman Jacqueline C M JC   Franks Paul W PW   Meigs James B JB   McKeown Nicola M NM   Nettleton Jennifer A JA  

The Journal of nutrition 20130123 3


Favorable associations between magnesium intake and glycemic traits, such as fasting glucose and insulin, are observed in observational and clinical studies, but whether genetic variation affects these associations is largely unknown. We hypothesized that single nucleotide polymorphisms (SNPs) associated with either glycemic traits or magnesium metabolism affect the association between magnesium intake and fasting glucose and insulin. Fifteen studies from the CHARGE (Cohorts for Heart and Aging  ...[more]

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