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Connection

Rasika Mathias to Fatty Acid Desaturases

This is a "connection" page, showing publications Rasika Mathias has written about Fatty Acid Desaturases.

 
Connection Strength
 
 
 
2.037
 
  1. Mathias RA, Fu W, Akey JM, Ainsworth HC, Torgerson DG, Ruczinski I, Sergeant S, Barnes KC, Chilton FH. Adaptive evolution of the FADS gene cluster within Africa. PLoS One. 2012; 7(9):e44926.
    View in: PubMed
    Score: 0.394
  2. Mathias RA, Vergara C, Gao L, Rafaels N, Hand T, Campbell M, Bickel C, Ivester P, Sergeant S, Barnes KC, Chilton FH. FADS genetic variants and omega-6 polyunsaturated fatty acid metabolism in a homogeneous island population. J Lipid Res. 2010 Sep; 51(9):2766-74.
    View in: PubMed
    Score: 0.337
  3. Yang C, Hallmark B, Chai JC, O'Connor TD, Reynolds LM, Wood AC, Seeds M, Chen YI, Steffen LM, Tsai MY, Kaplan RC, Daviglus ML, Mandarino LJ, Fretts AM, Lemaitre RN, Coletta DK, Blomquist SA, Johnstone LM, Tontsch C, Qi Q, Ruczinski I, Rich SS, Mathias RA, Chilton FH, Manichaikul A. Impact of Amerind ancestry and FADS genetic variation on omega-3 deficiency and cardiometabolic traits in Hispanic populations. Commun Biol. 2021 07 28; 4(1):918.
    View in: PubMed
    Score: 0.182
  4. Reynolds LM, Dutta R, Seeds MC, Lake KN, Hallmark B, Mathias RA, Howard TD, Chilton FH. FADS genetic and metabolomic analyses identify the ?5 desaturase (FADS1) step as a critical control point in the formation of biologically important lipids. Sci Rep. 2020 09 28; 10(1):15873.
    View in: PubMed
    Score: 0.172
  5. Sergeant S, Hallmark B, Mathias RA, Mustin TL, Ivester P, Bohannon ML, Ruczinski I, Johnstone L, Seeds MC, Chilton FH. Prospective clinical trial examining the impact of genetic variation in FADS1 on the metabolism of linoleic acid- and ?-linolenic acid-containing botanical oils. Am J Clin Nutr. 2020 05 01; 111(5):1068-1078.
    View in: PubMed
    Score: 0.167
  6. Harris DN, Ruczinski I, Yanek LR, Becker LC, Becker DM, Guio H, Cui T, Chilton FH, Mathias RA, O'Connor TD. Evolution of Hominin Polyunsaturated Fatty Acid Metabolism: From Africa to the New World. Genome Biol Evol. 2019 05 01; 11(5):1417-1430.
    View in: PubMed
    Score: 0.156
  7. Reynolds LM, Howard TD, Ruczinski I, Kanchan K, Seeds MC, Mathias RA, Chilton FH. Tissue-specific impact of FADS cluster variants on FADS1 and FADS2 gene expression. PLoS One. 2018; 13(3):e0194610.
    View in: PubMed
    Score: 0.144
  8. Rahbar E, Ainsworth HC, Howard TD, Hawkins GA, Ruczinski I, Mathias R, Seeds MC, Sergeant S, Hixson JE, Herrington DM, Langefeld CD, Chilton FH. Uncovering the DNA methylation landscape in key regulatory regions within the FADS cluster. PLoS One. 2017; 12(9):e0180903.
    View in: PubMed
    Score: 0.139
  9. Hester AG, Murphy RC, Uhlson CJ, Ivester P, Lee TC, Sergeant S, Miller LR, Howard TD, Mathias RA, Chilton FH. Relationship between a common variant in the fatty acid desaturase (FADS) cluster and eicosanoid generation in humans. J Biol Chem. 2014 Aug 08; 289(32):22482-9.
    View in: PubMed
    Score: 0.111
  10. Howard TD, Mathias RA, Seeds MC, Herrington DM, Hixson JE, Shimmin LC, Hawkins GA, Sellers M, Ainsworth HC, Sergeant S, Miller LR, Chilton FH. DNA methylation in an enhancer region of the FADS cluster is associated with FADS activity in human liver. PLoS One. 2014; 9(5):e97510.
    View in: PubMed
    Score: 0.110
  11. Sergeant S, Hugenschmidt CE, Rudock ME, Ziegler JT, Ivester P, Ainsworth HC, Vaidya D, Case LD, Langefeld CD, Freedman BI, Bowden DW, Mathias RA, Chilton FH. Differences in arachidonic acid levels and fatty acid desaturase (FADS) gene variants in African Americans and European Americans with diabetes or the metabolic syndrome. Br J Nutr. 2012 Feb; 107(4):547-55.
    View in: PubMed
    Score: 0.090
  12. Chilton FH, Dutta R, Reynolds LM, Sergeant S, Mathias RA, Seeds MC. Precision Nutrition and Omega-3 Polyunsaturated Fatty Acids: A Case for Personalized Supplementation Approaches for the Prevention and Management of Human Diseases. Nutrients. 2017 Oct 25; 9(11).
    View in: PubMed
    Score: 0.035
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

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