The Role of Rare Variants in Systolic Blood Pressure: Analysis of ExomeChip Data in HyperGEN African Americans

Cardiovascular diseases are among the most significant health problems in the United States today, with their major risk factor, hypertension, disproportionately affecting African Americans (AAs). Although GWAS have identified dozens of common variants associated with blood pressure (BP) and hypertension in European Americans, these variants collectively explain <2.5% of BP variance, and most of the genetic variants remain yet to be identified. Here, we report the results from rare-variant analysis of systolic BP using 94,595 rare and low-frequency variants (minor allele frequency, MAF, <5%) from the Illumina exome array genotyped in 2,045 HyperGEN AAs. In addition to single-variant analysis, 4 gene-level association tests were used for analysis: burden and family-based SKAT tests using MAF cutoffs of 1 and 5%. The gene-based methods often provided lower p values than the single-variant approach. Some consistency was observed across these 4 gene-based analysis options. While neither the gene-based analyses nor the single-variant analysis produced genome-wide significant results, the top signals, which had supporting evidence from multiple gene-based methods, were of borderline significance. Though additional molecular validations are required, 6 of the 16 most promising genes are biologically plausible with physiological connections to BP regulation.

[1]  Andrew D. Johnson,et al.  Effects of long-term averaging of quantitative blood pressure traits on the detection of genetic associations. , 2014, American journal of human genetics.

[2]  Andrew D. Johnson,et al.  Gene-age interactions in blood pressure regulation: a large-scale investigation with the CHARGE, Global BPgen, and ICBP Consortia. , 2014, American journal of human genetics.

[3]  Christian Gieger,et al.  Gene-centric meta-analysis in 87,736 individuals of European ancestry identifies multiple blood-pressure-related loci. , 2014, American journal of human genetics.

[4]  J. Novembre,et al.  Analysis of rare variant population structure in Europeans explains differential stratification of gene-based tests , 2014, European Journal of Human Genetics.

[5]  Xiaofeng Zhu,et al.  Genome-wide association analysis of blood-pressure traits in African-ancestry individuals reveals common associated genes in African and non-African populations. , 2013, American journal of human genetics.

[6]  Michael P. Epstein,et al.  Assessing the Impact of Population Stratification on Association Studies of Rare Variation , 2013, Human Heredity.

[7]  Adam Kiezun,et al.  Fine-Scale Patterns of Population Stratification Confound Rare Variant Association Tests , 2013, PloS one.

[8]  P. Deloukas,et al.  Novel Loci Associated with Increased Risk of Sudden Cardiac Death in the Context of Coronary Artery Disease , 2013, PloS one.

[9]  G. Navis,et al.  Hemopexin activity is associated with angiotensin II responsiveness in humans , 2013, Journal of hypertension.

[10]  J. Meigs,et al.  Sequence Kernel Association Test for Quantitative Traits in Family Samples , 2013, Genetic epidemiology.

[11]  Douglas N. Rutledge,et al.  Rare and Low Frequency Variant Stratification in the UK Population: Description and Impact on Association Tests , 2012, PloS one.

[12]  E. Miller,et al.  Uric Acid Level and Elevated Blood Pressure in US Adolescents: National Health and Nutrition Examination Survey, 1999–2006 , 2012, Hypertension.

[13]  G. McVean,et al.  Differential confounding of rare and common variants in spatially structured populations , 2011, Nature Genetics.

[14]  Jean Tichet,et al.  Blood pressure loci identified with a gene-centric array. , 2011, American journal of human genetics.

[15]  Lili Ding,et al.  Effect of population stratification analysis on false-positive rates for common and rare variants , 2011, BMC proceedings.

[16]  Christian Gieger,et al.  Genome-wide association study identifies six new loci influencing pulse pressure and mean arterial pressure , 2011, Nature Genetics.

[17]  Christian Gieger,et al.  Genetic Variants in Novel Pathways Influence Blood Pressure and Cardiovascular Disease Risk , 2011, Nature.

[18]  Kathryn L Lunetta,et al.  Choice of population structure informative principal components for adjustment in a case-control study , 2011, BMC Genetics.

[19]  Xihong Lin,et al.  Rare-variant association testing for sequencing data with the sequence kernel association test. , 2011, American journal of human genetics.

[20]  Tien Yin Wong,et al.  Meta-analysis of genome-wide association studies identifies common variants associated with blood pressure variation in east Asians , 2011, Nature Genetics.

[21]  Kathryn Roeder,et al.  Testing for an Unusual Distribution of Rare Variants , 2011, PLoS genetics.

[22]  Iuliana Ionita-Laza,et al.  A New Testing Strategy to Identify Rare Variants with Either Risk or Protective Effect on Disease , 2011, PLoS genetics.

[23]  K. Hong,et al.  Non-synonymous single-nucleotide polymorphisms associated with blood pressure and hypertension , 2010, Journal of Human Hypertension.

[24]  J. Pell,et al.  Genome-Wide Association Study of Blood Pressure Extremes Identifies Variant near UMOD Associated with Hypertension , 2010, PLoS genetics.

[25]  G. Navis,et al.  High plasma hemopexin activity is an independent risk factor for late graft failure in renal transplant recipients , 2010, Transplant international : official journal of the European Society for Organ Transplantation.

[26]  Alkes L. Price,et al.  New approaches to population stratification in genome-wide association studies , 2010, Nature Reviews Genetics.

[27]  E. Zeggini,et al.  An Evaluation of Statistical Approaches to Rare Variant Analysis in Genetic Association Studies , 2009, Genetic epidemiology.

[28]  Yurii S. Aulchenko,et al.  ProbABEL package for genome-wide association analysis of imputed data , 2010, BMC Bioinformatics.

[29]  Judy H. Cho,et al.  Finding the missing heritability of complex diseases , 2009, Nature.

[30]  C. Loddenkemper,et al.  Transient receptor potential canonical type 3 channels and blood pressure in humans , 2009, Journal of hypertension.

[31]  P. O’Reilly,et al.  Genome-wide association study identifies eight loci associated with blood pressure , 2009, Nature Genetics.

[32]  Andrew D. Johnson,et al.  Genome-wide association study of blood pressure and hypertension , 2009, Nature Genetics.

[33]  K. Lunetta,et al.  Methods in Genetics and Clinical Interpretation Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium Design of Prospective Meta-Analyses of Genome-Wide Association Studies From 5 Cohorts , 2010 .

[34]  S. Browning,et al.  A Groupwise Association Test for Rare Mutations Using a Weighted Sum Statistic , 2009, PLoS genetics.

[35]  Dachun Yang,et al.  Increased Transient Receptor Potential Canonical Type 3 Channels in Vasculature From Hypertensive Rats , 2009, Hypertension.

[36]  C. Schubert The genomic basis of the Williams – Beuren syndrome , 2008, Cellular and Molecular Life Sciences.

[37]  C. Hengstenberg,et al.  Common Genetic Vriants in ANK2 Modulate QT Interval: Results From the KORA Study , 2008, Circulation. Cardiovascular genetics.

[38]  M. McCarthy,et al.  Genome-wide association studies: potential next steps on a genetic journey. , 2008, Human molecular genetics.

[39]  S. Leal,et al.  Methods for detecting associations with rare variants for common diseases: application to analysis of sequence data. , 2008, American journal of human genetics.

[40]  Manuel A. R. Ferreira,et al.  PLINK: a tool set for whole-genome association and population-based linkage analyses. , 2007, American journal of human genetics.

[41]  Yurii S. Aulchenko,et al.  BIOINFORMATICS APPLICATIONS NOTE doi:10.1093/bioinformatics/btm108 Genetics and population analysis GenABEL: an R library for genome-wide association analysis , 2022 .

[42]  W. Thilly,et al.  A strategy to discover genes that carry multi-allelic or mono-allelic risk for common diseases: a cohort allelic sums test (CAST). , 2007, Mutation research.

[43]  Jonathan C. Cohen,et al.  Multiple rare variants in NPC1L1 associated with reduced sterol absorption and plasma low-density lipoprotein levels. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[44]  Lisa J. Martin,et al.  Major Quantitative Trait Locus for Resting Heart Rate Maps to a Region on Chromosome 4 , 2004, Hypertension.

[45]  A. Doll,et al.  Characterization of two novel genes, WBSCR20 and WBSCR22, deleted in Williams-Beuren syndrome , 2002, Cytogenetic and Genome Research.

[46]  M A Province,et al.  NHLBI family blood pressure program: methodology and recruitment in the HyperGEN network. Hypertension genetic epidemiology network. , 2000, Annals of epidemiology.