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Chai, High Seng

Mayo Clinic

United States

Citations 25

Genomic Association Analysis Identifies Multiple Loci Influencing Antihypertensive Response to an Angiotensin II Receptor Blocker
Bailey, Kent R. , Schwartz, Gary L. , Chapman, Arlene B. , Chai, High Seng, Boerwinkle, Eric , Turner, Stephen T.

Hypertension | May 8, 2012 | Volume: 59 | Issue: 6 | Pages: 1204-1211

10.1161/hyp.0b013e31825b30f8 Get It

To identify genes influencing blood pressure response to an angiotensin II receptor blocker, single nucleotide polymorphisms identified by genome-wide association analysis of the response to candesartan were validated by opposite direction associations with the response to a thiazide diuretic, hydrochlorothiazide. We sampled 198 white and 193 blacks with primary hypertension from opposite tertiles of the race-sex–specific distributions of age-adjusted diastolic blood pressure response to candesartan. There were 285 polymorphisms associated with the response to candesartan at P <10 −4 in whites. A total of 273 of the 285 polymorphisms, which were available for analysis in a separate sample of 196 whites, validated for opposite direction associations with the response to hydrochlorothiazide (Fisher χ 2 1-sided P =0.02). Among the 273 polymorphisms, those in the chromosome 11q21 region were the most significantly associated with response to candesartan in whites (eg, rs11020821 near FUT4 , P =8.98×10 −7 ), had the strongest opposite direction associations with response to hydrochlorothiazide (eg, rs3758785 in GPR83 , P =7.10×10 −3 ), and had the same direction associations with response to candesartan in the 193 blacks (eg, rs16924603 near FUT4 , P =1.52×10 −2 ). Also notable among the 273 polymorphisms was rs11649420 on chromosome 16 in the amiloride-sensitive sodium channel subunit SCNN1G involved in mediating renal sodium reabsorption and maintaining blood pressure when the renin-angiotensin system is inhibited by candesartan. These results support the use of genomewide association analyses to identify novel genes predictive of opposite direction associations with blood pressure responses to inhibitors of the renin-angiotensin and renal sodium transport systems.
Concordance of Changes in Metabolic Pathways Based on Plasma Metabolomics and Skeletal Muscle Transcriptomics in Type 1 Diabetes
Dutta, Tumpa , Chai, High Seng, Ward, Lawrence E., Ghosh, Aditya , Persson, Xuan-Mai T., Ford, G. C., Kudva, Yogish C. , Sun, Zhifu , Asmann, Yan W. , Kocher, Jean‐Pierre , Nair, K. Sreekumaran , Sun, Zhifu , Ghosh, Aditya K

Diabetes | March 14, 2012 | Volume: 61 | Issue: 5 | Pages: 1004-1016

10.2337/db11-0874 Get It

Insulin regulates many cellular processes, but the full impact of insulin deficiency on cellular functions remains to be defined. Applying a mass spectrometry–based nontargeted metabolomics approach, we report here alterations of 330 plasma metabolites representing 33 metabolic pathways during an 8-h insulin deprivation in type 1 diabetic individuals. These pathways included those known to be affected by insulin such as glucose, amino acid and lipid metabolism, Krebs cycle, and immune responses and those hitherto unknown to be altered including prostaglandin, arachidonic acid, leukotrienes, neurotransmitters, nucleotides, and anti-inflammatory responses. A significant concordance of metabolome and skeletal muscle transcriptome–based pathways supports an assumption that plasma metabolites are chemical fingerprints of cellular events. Although insulin treatment normalized plasma glucose and many other metabolites, there were 71 metabolites and 24 pathways that differed between nondiabetes and insulin-treated type 1 diabetes. Confirmation of many known pathways altered by insulin using a single blood test offers confidence in the current approach. Future research needs to be focused on newly discovered pathways affected by insulin deficiency and systemic insulin treatment to determine whether they contribute to the high morbidity and mortality in T1D despite insulin treatment.
Genomic Association Analysis Suggests Chromosome 12 Locus Influencing Antihypertensive Response to Thiazide Diuretic
Bailey, Kent R. , Chapman, Arlene B. , Schwartz, Gary L. , Chai, High Seng, Sicotte, Hugues , Kocher, Jean‐Pierre , Rodin, Andréi S. , Boerwinkle, Eric , Turner, Stephen T. , Fridley, Brooke L. , Chapman, Arlene B.

Hypertension | July 1, 2008 | Volume: 52 | Issue: 2 | Pages: 359-365

10.1161/hypertensionaha.107.104273 Get It

We conducted a genome-wide association study to identify novel genes influencing diastolic blood pressure (BP) response to hydrochlorothiazide, a commonly prescribed thiazide diuretic preferred for the treatment of high BP. Affymetrix GeneChip Human Mapping 100K Arrays were used to measure single nucleotide polymorphisms across the 22 autosomes in 194 non-Hispanic black subjects and 195 non-Hispanic white subjects with essential hypertension selected from opposite tertiles of the race- and sex-specific distributions of age-adjusted diastolic BP response to hydrochlorothiazide (25 mg daily, PO, for 4 weeks). The black sample consisted of 97 “good” responders (diastolic BP response [mean±SD]=−18.3±4.2 mm Hg; age=47.1±6.1 years; 51.5% women) and 97 “poor” responders (diastolic BP response=−0.18±4.3; age=47.4±6.5 years; 51.5% women). Haplotype trend regression identified a region of chromosome 12q15 in which haplotypes constructed from 3 successive single nucleotide polymorphisms (rs317689, rs315135, and rs7297610) in proximity to lysozyme ( LYZ ), YEATS domain containing 4 ( YEATS4 ), and fibroblast growth receptor substrate 2 ( FRS2 ) were significantly associated with diastolic BP response (nominal P =2.39×10 −7 ; Bonferroni corrected P =0.024; simulated experiment-wise P =0.040). Genotyping of 35 additional single nucleotide polymorphisms selected to “tag” linkage disequilibrium blocks in these genes provided corroboration that variation in LYZ and YEATS4 was associated with diastolic BP response in a statistically independent data set of 291 black subjects and in the sample of 294 white subjects. These results support the use of genome-wide association analyses to identify novel genes influencing antihypertensive drug responses.