The impact of FADS genetic variants on ω6 polyunsaturated fatty acid metabolism in African Americans

Rasika A Mathias, Susan Sergeant, Ingo Ruczinski, Dara G Torgerson, Christina E Hugenschmidt, Meghan Kubala, Dhananjay Vaidya, Bhoom Suktitipat, Julie T Ziegler, Priscilla Ivester, Douglas Case, Lisa R Yanek, Barry I Freedman, Megan E Rudock, Kathleen C Barnes, Carl D Langefeld, Lewis C Becker, Donald W Bowden, Diane M Becker, Floyd H Chilton, Rasika A Mathias, Susan Sergeant, Ingo Ruczinski, Dara G Torgerson, Christina E Hugenschmidt, Meghan Kubala, Dhananjay Vaidya, Bhoom Suktitipat, Julie T Ziegler, Priscilla Ivester, Douglas Case, Lisa R Yanek, Barry I Freedman, Megan E Rudock, Kathleen C Barnes, Carl D Langefeld, Lewis C Becker, Donald W Bowden, Diane M Becker, Floyd H Chilton

Abstract

Background: Arachidonic acid (AA) is a long-chain omega-6 polyunsaturated fatty acid (PUFA) synthesized from the precursor dihomo-gamma-linolenic acid (DGLA) that plays a vital role in immunity and inflammation. Variants in the Fatty Acid Desaturase (FADS) family of genes on chromosome 11q have been shown to play a role in PUFA metabolism in populations of European and Asian ancestry; no work has been done in populations of African ancestry to date.

Results: In this study, we report that African Americans have significantly higher circulating levels of plasma AA (p = 1.35 × 10(-48)) and lower DGLA levels (p = 9.80 × 10(-11)) than European Americans. Tests for association in N = 329 individuals across 80 nucleotide polymorphisms (SNPs) in the Fatty Acid Desaturase (FADS) locus revealed significant association with AA, DGLA and the AA/DGLA ratio, a measure of enzymatic efficiency, in both racial groups (peak signal p = 2.85 × 10(-16) in African Americans, 2.68 × 10(-23) in European Americans). Ancestry-related differences were observed at an upstream marker previously associated with AA levels (rs174537), wherein, 79-82% of African Americans carry two copies of the G allele compared to only 42-45% of European Americans. Importantly, the allelic effect of the G allele, which is associated with enhanced conversion of DGLA to AA, on enzymatic efficiency was similar in both groups.

Conclusions: We conclude that the impact of FADS genetic variants on PUFA metabolism, specifically AA levels, is likely more pronounced in African Americans due to the larger proportion of individuals carrying the genotype associated with increased FADS1 enzymatic conversion of DGLA to AA.

Figures

Figure 1
Figure 1
Population-based Differences in Plasma Fatty Acid Concentrations. Trait distribution differences between African American (N = 174) and European American (N = 155) individuals from the GeneSTAR study showing distributions in age- and gender-adjusted ω6 PUFAs (LA, GLA, DGLA and AA) and FADS1 enzymatic efficiency (AA/DGLA). Each sample is represented by a single dot in blue for African Americans and red for European Americans. Sample means and confidence interval for the sample mean are presented as the horizontal black line and surrounding green box, respectively. Genes known to play a pivotal role in the desaturation and elongation step in the metabolism of AA are illustrated. Individual PUFAs were expressed as percent of total fatty acids in a sample, and the ratio of AA mass/DGLA mass was calculated as a measure of FADS1 enzymatic efficiency.
Figure 2
Figure 2
Geographic Differences in the Allelic Frequencies of a FADS Gene Cluster SNP. Geographic distribution (a) of derived allele frequencies (shown in orange) for rs174537 in the 52 populations represented in the Human Genome Diversity Panel Data. The data suggest the fixation of derived rs174537 G allele within the African continent. Similarly, the continental distribution for rs174537 genotypes (b) shows a dramatic shift in the predominant homozygous state from Africa to the Americas.
Figure 3
Figure 3
Plasma Fatty Acid Concentrations Vary by Genotype at rs174537. Trait distribution differences between African Americans (N = 174) and European Americans (N = 155) participating in the GeneSTAR study, showing genotypic differences in according to DGLA, AA, and AA/DGLA phenotype at marker rs174537 by race. Each sample is represented by a single dot in blue for African Americans and red for European Americans. Sample means and confidence interval for the sample mean are presented as the horizontal black line and surrounding green box, respectively.
Figure 4
Figure 4
Peak Association by Race. Tests for association for AA, DGLA and FADS1 enzymatic activity (AA/DGLA) in the ascertained sample from GeneSTAR in African Americans and European Americans for 100 SNPs on chromosome 11q13. Strength of Association depicted as in the legend, LD patterns (low to strong ranging from white to red) along with LD blocks (black triangles), and physical location of SNPs (blue lines) relative to the three FADS genes (see insert).

References

    1. Burr GO, Burr MM, Miller ES. On the fatty acids essential in nutrition. III. J Biol Chem. 1932;97:1–9.
    1. Steinberg G, Slaton WH, Howton DR, Mead JF. Metabolism of essential fatty acids: IV. Incorporation of linoleate into arachidonic acid. J Biol Chem. 1956;220:257–264.
    1. Mead JF, Steinberg G, Howton DR. Metabolism of essential fatty acids: Incorporation of acetate into arachidonic acid. J Biol Chem. 1953;205:683–689.
    1. Mead JF, Howton DR. Metabolism of essential fatty acids: VII. Conversion of γ-linolenic acid to arachidonic acid. J Biol Chem. 1957.
    1. Nakamura MT, Nara TY. Structure, function, and dietary regulation of delta6, delta5, and delta9 desaturases. Annu Rev Nutr. 2004;24:345–376. doi: 10.1146/annurev.nutr.24.121803.063211.
    1. Das UN. Essential fatty acids: biochemistry, physiology and pathology. Biotechnol J. 2006;1(4):420–439. doi: 10.1002/biot.200600012.
    1. Schmitz G, Ecker J. The opposing effects of n-3 and n-6 fatty acids. Prog Lipid Res. 2008;47(2):147–155. doi: 10.1016/j.plipres.2007.12.004.
    1. Simopoulos AP. The importance of the omega-6/omega-3 fatty acid ratio in cardiovascular disease and other chronic diseases. Exp Biol Med (Maywood) 2008;233(6):674–688. doi: 10.3181/0711-MR-311.
    1. Martinez M. Tissue levels of polyunsaturated fatty acids during early human development. J Pediatr. 1992;120(4 Pt 2):S129–138.
    1. Cordain L, Eaton SB, Sebastian A, Mann N, Lindeberg S, Watkins BA, O'Keefe JH, Brand-Miller J. Origins and evolution of the Western diet: health implications for the 21st century. Am J Clin Nutr. 2005;81(2):341–354.
    1. Burdge GC. Metabolism of alpha-linolenic acid in humans. Prostaglandins Leukot Essent Fatty Acids. 2006;75(3):161–168. doi: 10.1016/j.plefa.2006.05.013.
    1. Pawlosky RJ, Lin YH, Llanos A, Mena P, Uauy R, Salem N Jr. Compartmental analyses of plasma 13C- and 2H-labeled n-6 fatty acids arising from oral administrations of 13C-U-18:2n-6 and 2H5-20:3n-6 in newborn infants. Pediatr Res. 2006;60(3):327–333. doi: 10.1203/01.pdr.0000232782.09352.ef.
    1. Emken EA, Adlof RO, Gulley RM. Dietary linoleic acid influences desaturation and acylation of deuterium-labeled linoleic and linolenic acids in young adult males. Biochim Biophys Acta. 1994;1213(3):277–288.
    1. Malerba G, Schaeffer L, Xumerle L, Klopp N, Trabetti E, Biscuola M, Cavallari U, Galavotti R, Martinelli N, Guarini P. et al.SNPs of the FADS gene cluster are associated with polyunsaturated fatty acids in a cohort of patients with cardiovascular disease. Lipids. 2008;43(4):289–299. doi: 10.1007/s11745-008-3158-5.
    1. Xie L, Innis SM. Genetic variants of the FADS1 FADS2 gene cluster are associated with altered (n-6) and (n-3) essential fatty acids in plasma and erythrocyte phospholipids in women during pregnancy and in breast milk during lactation. J Nutr. 2008;138(11):2222–2228. doi: 10.3945/jn.108.096156.
    1. Schaeffer L, Gohlke H, Muller M, Heid IM, Palmer LJ, Kompauer I, Demmelmair H, Illig T, Koletzko B, Heinrich J. Common genetic variants of the FADS1 FADS2 gene cluster and their reconstructed haplotypes are associated with the fatty acid composition in phospholipids. Hum Mol Genet. 2006;15(11):1745–1756. doi: 10.1093/hmg/ddl117.
    1. Martinelli N, Girelli D, Malerba G, Guarini P, Illig T, Trabetti E, Sandri M, Friso S, Pizzolo F, Schaeffer L. et al.FADS genotypes and desaturase activity estimated by the ratio of arachidonic acid to linoleic acid are associated with inflammation and coronary artery disease. Am J Clin Nutr. 2008;88(4):941–949.
    1. Rzehak P, Heinrich J, Klopp N, Schaeffer L, Hoff S, Wolfram G, Illig T, Linseisen J. Evidence for an association between genetic variants of the fatty acid desaturase 1 fatty acid desaturase 2 ( FADS1 FADS2) gene cluster and the fatty acid composition of erythrocyte membranes. Br J Nutr. 2009;101(1):20–26. doi: 10.1017/S0007114508992564.
    1. Marquardt A, Stohr H, White K, Weber BH. cDNA cloning, genomic structure, and chromosomal localization of three members of the human fatty acid desaturase family. Genomics. 2000;66(2):175–183. doi: 10.1006/geno.2000.6196.
    1. Lattka E, Illig T, Heinrich J, Koletzko B. FADS gene cluster polymorphisms: important modulators of fatty acid levels and their impact on atopic diseases. J Nutrigenet Nutrigenomics. 2009;2(3):119–128. doi: 10.1159/000235559.
    1. Tanaka T, Shen J, Abecasis GR, Kisialiou A, Ordovas JM, Guralnik JM, Singleton A, Bandinelli S, Cherubini A, Arnett D. et al.Genome-wide association study of plasma polyunsaturated fatty acids in the InCHIANTI Study. PLoS Genet. 2009;5(1):e1000338. doi: 10.1371/journal.pgen.1000338.
    1. Horrobin DF, Ells K, Morse-Fisher N, Manku MS. Fatty acid distribution in plasma phospholipids in normal individuals from different geographical locations. J Nutr Environ Med. 1991;2:249–258. doi: 10.3109/13590849109084122.
    1. Lattka E, Eggers S, Moeller G, Heim K, Weber M, Mehta D, Prokisch H, Illig T, Adamski J. A common FADS2 promoter polymorphism increases promoter activity and facilitates binding of transcription factor ELK1. J Lipid Res. pp. 182–191.
    1. Barnes KC, Grant AV, Hansel NN, Gao P, Dunston GM. African Americans with asthma: genetic insights. Proc Am Thorac Soc. 2007;4(1):58–68. doi: 10.1513/pats.200607-146JG.
    1. Khera A, McGuire DK, Murphy SA, Stanek HG, Das SR, Vongpatanasin W, Wians FH Jr, Grundy SM, de Lemos JA. Race and gender differences in C-reactive protein levels. J Am Coll Cardiol. 2005;46(3):464–469. doi: 10.1016/j.jacc.2005.04.051.
    1. Albert MA, Glynn RJ, Buring J, Ridker PM. C-reactive protein levels among women of various ethnic groups living in the United States (from the Women's Health Study) Am J Cardiol. 2004;93(10):1238–1242. doi: 10.1016/j.amjcard.2004.01.067.
    1. Bray PF, Mathias RA, Faraday N, Yanek LR, Fallin MD, Herrera-Galeano JE, Wilson AF, Becker LC, Becker DM. Heritability of platelet function in families with premature coronary artery disease. J Thromb Haemost. 2007;5(8):1617–1623. doi: 10.1111/j.1538-7836.2007.02618.x.
    1. Bowden DW, Lehtinen AB, Ziegler JT, Rudock ME, Xu J, Wagenknecht LE, Herrington DM, Rich SS, Freedman BI, Carr JJ. et al.Genetic epidemiology of subclinical cardiovascular disease in the diabetes heart study. Ann Hum Genet. 2008;72(Pt 5):598–610.
    1. Metcalfe LD, Schmitz AA, Pelka JR. Rapid preparation of fatty acid esters from lipids for gas chromatographic analysis. Anal Chem. 1966;38:514–515. doi: 10.1021/ac60235a044.
    1. Weaver KL, Ivester P, Seeds M, Case LD, Arm JP, Chilton FH. Effect of dietary fatty acids on inflammatory gene expression in healthy humans. J Biol Chem. 2009;284(23):15400–15407. doi: 10.1074/jbc.M109.004861.
    1. Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MA, Bender D, Maller J, Sklar P, de Bakker PI, Daly MJ. et al.PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet. 2007;81(3):559–575. doi: 10.1086/519795.
    1. Buetow KH, Edmonson M, MacDonald R, Clifford R, Yip P, Kelley J, Little DP, Strausberg R, Koester H, Cantor CR. et al.High-throughput development and characterization of a genomewide collection of gene-based single nucleotide polymorphism markers by chip-based matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. Proc Natl Acad Sci USA. 2001;98(2):581–584. doi: 10.1073/pnas.021506298.
    1. Zeger SL, Liang KY. Longitudinal data analysis for discrete and continuous outcomes. Biometrics. 1986;42(1):121–130. doi: 10.2307/2531248.
    1. Price AL, Patterson NJ, Plenge RM, Weinblatt ME, Shadick NA, Reich D. Principal components analysis corrects for stratification in genome-wide association studies. Nat Genet. 2006;38(8):904–909. doi: 10.1038/ng1847.
    1. Barrett JC, Fry B, Maller J, Daly MJ. Haploview: analysis and visualization of LD and haplotype maps. Bioinformatics. 2005;21(2):263–265. doi: 10.1093/bioinformatics/bth457.
    1. Gabriel SB, Schaffner SF, Nguyen H, Moore JM, Roy J, Blumenstiel B, Higgins J, DeFelice M, Lochner A, Faggart M. et al.The structure of haplotype blocks in the human genome. Science. 2002;296(5576):2225–2229. doi: 10.1126/science.1069424.

Source: PubMed

3
订阅