👤 Jennifer A Nettleton

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4
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Also published as: D Nettleton, J A Nettleton, Theodore J Nettleton
articles
Rachel M Johnson, Xin Zhang, Sarah J Piper +6 more · 2021 · Biochemical and biophysical research communications · Elsevier · added 2026-04-24
Dual agonists that can activate both the glucagon-like peptide-1 receptor (GLP-1R) and the gastric inhibitory polypeptide receptor (GIPR) have demonstrated high efficacy for the treatment of metabolic Show more
Dual agonists that can activate both the glucagon-like peptide-1 receptor (GLP-1R) and the gastric inhibitory polypeptide receptor (GIPR) have demonstrated high efficacy for the treatment of metabolic disease. Peptide-19 is a prototypical dual agonist that has high potency at both GLP-1R and GIPR but has a distinct signalling profile relative to the native peptides at the cognate receptors. In this study, we solved the structure of peptide-19 bound to the GLP-1R in complex with Gs protein, and compared the structure and dynamics of this complex to that of published structures of GLP-1R:Gs in complex with other receptor agonists. Unlike other peptide-bound receptor complexes, peptide-19:GLP-1R:Gs demonstrated a more open binding pocket where transmembrane domain (TM) 6, TM7 and the interconnecting extracellular loop 3 (ECL3) were located away from the peptide, with no interactions between peptide-19 and TM6/ECL3. Analysis of conformational variance of the complex revealed that peptide-19 was highly dynamic and underwent binding and unbinding motions facilitated by the more open TM binding pocket. Both the consensus structure of the GLP-1R complex with peptide-19 and the dynamics of this complex were distinct from previously described GLP-1R structures providing unique insights into the mode of GLP-1R activation by this dual agonist. Show less
no PDF DOI: 10.1016/j.bbrc.2021.09.016
GIPR
Caren E Smith, Jack L Follis, Jennifer A Nettleton +33 more · 2015 · Molecular nutrition & food research · Wiley · added 2026-04-24
Tissue concentrations of omega-3 fatty acids may reduce cardiovascular disease risk, and genetic variants are associated with circulating fatty acids concentrations. Whether dietary fatty acids intera Show more
Tissue concentrations of omega-3 fatty acids may reduce cardiovascular disease risk, and genetic variants are associated with circulating fatty acids concentrations. Whether dietary fatty acids interact with genetic variants to modify circulating omega-3 fatty acids is unclear. We evaluated interactions between genetic variants and fatty acid intakes for circulating alpha-linoleic acid, eicosapentaenoic acid, docosahexaenoic acid, and docosapentaenoic acid. We conducted meta-analyses (N = 11 668) evaluating interactions between dietary fatty acids and genetic variants (rs174538 and rs174548 in FADS1 (fatty acid desaturase 1), rs7435 in AGPAT3 (1-acyl-sn-glycerol-3-phosphate), rs4985167 in PDXDC1 (pyridoxal-dependent decarboxylase domain-containing 1), rs780094 in GCKR (glucokinase regulatory protein), and rs3734398 in ELOVL2 (fatty acid elongase 2)). Stratification by measurement compartment (plasma versus erthyrocyte) revealed compartment-specific interactions between FADS1 rs174538 and rs174548 and dietary alpha-linolenic acid and linoleic acid for docosahexaenoic acid and docosapentaenoic acid. Our findings reinforce earlier reports that genetically based differences in circulating fatty acids may be partially due to differences in the conversion of fatty acid precursors. Further, fatty acids measurement compartment may modify gene-diet relationships, and considering compartment may improve the detection of gene-fatty acids interactions for circulating fatty acid outcomes. Show less
📄 PDF DOI: 10.1002/mnfr.201400734
FADS1
Coffee and Caffeine Genetics Consortium, Marilyn C Cornelis, Enda M Byrne +155 more · 2015 · Molecular psychiatry · Nature · added 2026-04-24
Coffee and Caffeine Genetics Consortium, Marilyn C Cornelis, Enda M Byrne, Tõnu Esko, Michael A Nalls, Andrea Ganna, Nina Paynter, Keri L Monda, Najaf Amin, Krista Fischer, Frida Renstrom, Julius S Ngwa, Ville Huikari, Alana Cavadino, Ilja M Nolte, Alexander Teumer, Kai Yu, Pedro Marques-Vidal, Rajesh Rawal, Ani Manichaikul, Mary K Wojczynski, Jacqueline M Vink, Jing Hua Zhao, George Burlutsky, Jari Lahti, Vera Mikkilä, Rozenn N Lemaitre, Joel Eriksson, Solomon K Musani, Toshiko Tanaka, Frank Geller, Jian'an Luan, Jennie Hui, Reedik Mägi, Maria Dimitriou, Melissa E Garcia, Weang-Kee Ho, Margaret J Wright, Lynda M Rose, Patrik Ke Magnusson, Nancy L Pedersen, David Couper, Ben A Oostra, Albert Hofman, Mohammad Arfan Ikram, Henning W Tiemeier, Andre G Uitterlinden, Frank Ja van Rooij, Inês Barroso, Ingegerd Johansson, Luting Xue, Marika Kaakinen, Lili Milani, Chris Power, Harold Snieder, Ronald P Stolk, Sebastian E Baumeister, Reiner Biffar, Fangyi Gu, François Bastardot, Zoltán Kutalik, David R Jacobs, Nita G Forouhi, Evelin Mihailov, Lars Lind, Cecilia Lindgren, Karl Michaëlsson, Andrew Morris, Majken Jensen, Kay-Tee Khaw, Robert N Luben, Jie Jin Wang, Satu Männistö, Mia-Maria Perälä, Mika Kähönen, Terho Lehtimäki, Jorma Viikari, Dariush Mozaffarian, Kenneth Mukamal, Bruce M Psaty, Angela Döring, Andrew C Heath, Grant W Montgomery, Norbert Dahmen, Teresa Carithers, Katherine L Tucker, Luigi Ferrucci, Heather A Boyd, Mads Melbye, Jorien L Treur, Dan Mellström, Jouke Jan Hottenga, Inga Prokopenko, Anke Tönjes, Panos Deloukas, Stavroula Kanoni, Mattias Lorentzon, Denise K Houston, Yongmei Liu, John Danesh, Asif Rasheed, Marc A Mason, Alan B Zonderman, Lude Franke, Bruce S Kristal, International Parkinson’s Disease Genomics Consortium (IPDGC), North American Brain Expression Consortium (NABEC), UK Brain Expression Consortium (UKBEC), Juha Karjalainen, Danielle R Reed, Harm-Jan Westra, Michele K Evans, Danish Saleheen, Tamara B Harris, George Dedoussis, Gary Curhan, Michael Stumvoll, John Beilby, Louis R Pasquale, Bjarke Feenstra, Stefania Bandinelli, Jose M Ordovas, Andrew T Chan, Ulrike Peters, Claes Ohlsson, Christian Gieger, Nicholas G Martin, Melanie Waldenberger, David S Siscovick, Olli Raitakari, Johan G Eriksson, Paul Mitchell, David J Hunter, Peter Kraft, Eric B Rimm, Dorret I Boomsma, Ingrid B Borecki, Ruth Jf Loos, Nicholas J Wareham, Peter Vollenweider, Neil Caporaso, Hans Jörgen Grabe, Marian L Neuhouser, Bruce Hr Wolffenbuttel, Frank B Hu, Elina Hyppönen, Marjo-Riitta Järvelin, L Adrienne Cupples, Paul W Franks, Paul M Ridker, Cornelia M Van Duijn, Gerardo Heiss, Andres Metspalu, Kari E North, Erik Ingelsson, Jennifer A Nettleton, Rob M Van Dam, Daniel I Chasman Show less
Coffee, a major dietary source of caffeine, is among the most widely consumed beverages in the world and has received considerable attention regarding health risks and benefits. We conducted a genome- Show more
Coffee, a major dietary source of caffeine, is among the most widely consumed beverages in the world and has received considerable attention regarding health risks and benefits. We conducted a genome-wide (GW) meta-analysis of predominately regular-type coffee consumption (cups per day) among up to 91,462 coffee consumers of European ancestry with top single-nucleotide polymorphisms (SNPs) followed-up in ~30 062 and 7964 coffee consumers of European and African-American ancestry, respectively. Studies from both stages were combined in a trans-ethnic meta-analysis. Confirmed loci were examined for putative functional and biological relevance. Eight loci, including six novel loci, met GW significance (log10Bayes factor (BF)>5.64) with per-allele effect sizes of 0.03-0.14 cups per day. Six are located in or near genes potentially involved in pharmacokinetics (ABCG2, AHR, POR and CYP1A2) and pharmacodynamics (BDNF and SLC6A4) of caffeine. Two map to GCKR and MLXIPL genes related to metabolic traits but lacking known roles in coffee consumption. Enhancer and promoter histone marks populate the regions of many confirmed loci and several potential regulatory SNPs are highly correlated with the lead SNP of each. SNP alleles near GCKR, MLXIPL, BDNF and CYP1A2 that were associated with higher coffee consumption have previously been associated with smoking initiation, higher adiposity and fasting insulin and glucose but lower blood pressure and favorable lipid, inflammatory and liver enzyme profiles (P<5 × 10(-8)).Our genetic findings among European and African-American adults reinforce the role of caffeine in mediating habitual coffee consumption and may point to molecular mechanisms underlying inter-individual variability in pharmacological and health effects of coffee. Show less
📄 PDF DOI: 10.1038/mp.2014.107
MLXIPL
Jason H Y Wu, Rozenn N Lemaitre, Ani Manichaikul +25 more · 2013 · Circulation. Cardiovascular genetics · added 2026-04-24
BACKGROUND- Palmitic acid (16:0), stearic acid (18:0), palmitoleic acid (16:1n-7), and oleic acid (18:1n-9) are major saturated and monounsaturated fatty acids that affect cellular signaling and metab Show more
BACKGROUND- Palmitic acid (16:0), stearic acid (18:0), palmitoleic acid (16:1n-7), and oleic acid (18:1n-9) are major saturated and monounsaturated fatty acids that affect cellular signaling and metabolic pathways. They are synthesized via de novo lipogenesis and are the main saturated and monounsaturated fatty acids in the diet. Levels of these fatty acids have been linked to diseases including type 2 diabetes mellitus and coronary heart disease. METHODS AND RESULTS- Genome-wide association studies were conducted in 5 population-based cohorts comprising 8961 participants of European ancestry to investigate the association of common genetic variation with plasma levels of these 4 fatty acids. We identified polymorphisms in 7 novel loci associated with circulating levels of ≥1 of these fatty acids. ALG14 (asparagine-linked glycosylation 14 homolog) polymorphisms were associated with higher 16:0 (P=2.7×10(-11)) and lower 18:0 (P=2.2×10(-18)). FADS1 and FADS2 (desaturases) polymorphisms were associated with higher 16:1n-7 (P=6.6×10(-13)) and 18:1n-9 (P=2.2×10(-32)) and lower 18:0 (P=1.3×10(-20)). LPGAT1 (lysophosphatidylglycerol acyltransferase) polymorphisms were associated with lower 18:0 (P=2.8×10(-9)). GCKR (glucokinase regulator; P=9.8×10(-10)) and HIF1AN (factor inhibiting hypoxia-inducible factor-1; P=5.7×10(-9)) polymorphisms were associated with higher 16:1n-7, whereas PKD2L1 (polycystic kidney disease 2-like 1; P=5.7×10(-15)) and a locus on chromosome 2 (not near known genes) were associated with lower 16:1n-7 (P=4.1×10(-8)). CONCLUSIONS- Our findings provide novel evidence that common variations in genes with diverse functions, including protein-glycosylation, polyunsaturated fatty acid metabolism, phospholipid modeling, and glucose- and oxygen-sensing pathways, are associated with circulating levels of 4 fatty acids in the de novo lipogenesis pathway. These results expand our knowledge of genetic factors relevant to de novo lipogenesis and fatty acid biology. Show less
📄 PDF DOI: 10.1161/CIRCGENETICS.112.964619
FADS1
C-T Liu, M C Y Ng, D Rybin +37 more · 2012 · Diabetologia · Springer · added 2026-04-24
Hyperglycaemia disproportionately affects African-Americans (AfAs). We tested the transferability of 18 single-nucleotide polymorphisms (SNPs) associated with glycaemic traits identified in European a Show more
Hyperglycaemia disproportionately affects African-Americans (AfAs). We tested the transferability of 18 single-nucleotide polymorphisms (SNPs) associated with glycaemic traits identified in European ancestry (EuA) populations in 5,984 non-diabetic AfAs. We meta-analysed SNP associations with fasting glucose (FG) or insulin (FI) in AfAs from five cohorts in the Candidate Gene Association Resource. We: (1) calculated allele frequency differences, variations in linkage disequilibrium (LD), fixation indices (F(st)s) and integrated haplotype scores (iHSs); (2) tested EuA SNPs in AfAs; and (3) interrogated within ± 250 kb around each EuA SNP in AfAs. Allele frequency differences ranged from 0.6% to 54%. F(st) exceeded 0.15 at 6/16 loci, indicating modest population differentiation. All iHSs were <2, suggesting no recent positive selection. For 18 SNPs, all directions of effect were the same and 95% CIs of association overlapped when comparing EuA with AfA. For 17 of 18 loci, at least one SNP was nominally associated with FG in AfAs. Four loci were significantly associated with FG (GCK, p = 5.8 × 10(-8); MTNR1B, p = 8.5 × 10(-9); and FADS1, p = 2.2 × 10(-4)) or FI (GCKR, p = 5.9 × 10(-4)). At GCK and MTNR1B the EuA and AfA SNPs represented the same signal, while at FADS1, and GCKR, the EuA and best AfA SNPs were weakly correlated (r(2) <0.2), suggesting allelic heterogeneity for association with FG at these loci. Few glycaemic SNPs showed strict evidence of transferability from EuA to AfAs. Four loci were significantly associated in both AfAs and those with EuA after accounting for varying LD across ancestral groups, with new signals emerging to aid fine-mapping. Show less
📄 PDF DOI: 10.1007/s00125-012-2656-4
FADS1
J J Uthe, S M D Bearson, L Qu +6 more · 2011 · Animal genetics · Blackwell Publishing · added 2026-04-24
Salmonella in swine is a major food safety problem, as the majority of US swine herds are Salmonella-positive. Salmonella can be shed from colonized swine and contaminate (i) neighbouring pigs; (ii) s Show more
Salmonella in swine is a major food safety problem, as the majority of US swine herds are Salmonella-positive. Salmonella can be shed from colonized swine and contaminate (i) neighbouring pigs; (ii) slaughter plants and pork products; (iii) edible crops when swine manure is used as a fertilizer; and (iv) water supplies if manure used as crop fertilizer runs off into streams and waterways. A potentially powerful method of addressing pre-harvest food safety at the farm level is through genetic improvement of disease resistance in animals. In this research, we describe a successful strategy for discovering genetic variation at candidate genes associated with disease resistance in pigs. This involves integrating our recent global gene expression analysis of the porcine response to Salmonella with information from the literature about important candidate genes. We identified single-nucleotide polymorphisms (SNPs) in these functional candidate genes and genotyped three independent pig populations that had data on Salmonella faecal shedding or internal burden (total n = 377) at these loci. Of 31 SNPs genotyped, 21 SNPs segregated in at least two populations with a minor allele frequency of 15% or greater. Statistical analysis revealed thirteen SNPs associated with Salmonella faecal shedding or tissue colonization, with an estimated proportion of false positives (PFP) ≤0.2. The genes with associated SNPs included GNG3, NCF2, TAP1, VCL, AMT, CCR1, CD163, CCT7, EMP1 and ACP2. These associations provide new information about the mechanisms of porcine host response to Salmonella and may be useful in improving genetic resistance to this bacterium. Show less
no PDF DOI: 10.1111/j.1365-2052.2010.02171.x
ACP2
Rozenn N Lemaitre, Toshiko Tanaka, Weihong Tang +32 more · 2011 · PLoS genetics · PLOS · added 2026-04-24
Long-chain n-3 polyunsaturated fatty acids (PUFAs) can derive from diet or from α-linolenic acid (ALA) by elongation and desaturation. We investigated the association of common genetic variation with Show more
Long-chain n-3 polyunsaturated fatty acids (PUFAs) can derive from diet or from α-linolenic acid (ALA) by elongation and desaturation. We investigated the association of common genetic variation with plasma phospholipid levels of the four major n-3 PUFAs by performing genome-wide association studies in five population-based cohorts comprising 8,866 subjects of European ancestry. Minor alleles of SNPs in FADS1 and FADS2 (desaturases) were associated with higher levels of ALA (p = 3 x 10⁻⁶⁴) and lower levels of eicosapentaenoic acid (EPA, p = 5 x 10⁻⁵⁸) and docosapentaenoic acid (DPA, p = 4 x 10⁻¹⁵⁴). Minor alleles of SNPs in ELOVL2 (elongase) were associated with higher EPA (p = 2 x 10⁻¹²) and DPA (p = 1 x 10⁻⁴³) and lower docosahexaenoic acid (DHA, p = 1 x 10⁻¹⁵). In addition to genes in the n-3 pathway, we identified a novel association of DPA with several SNPs in GCKR (glucokinase regulator, p = 1 x 10⁻⁸). We observed a weaker association between ALA and EPA among carriers of the minor allele of a representative SNP in FADS2 (rs1535), suggesting a lower rate of ALA-to-EPA conversion in these subjects. In samples of African, Chinese, and Hispanic ancestry, associations of n-3 PUFAs were similar with a representative SNP in FADS1 but less consistent with a representative SNP in ELOVL2. Our findings show that common variation in n-3 metabolic pathway genes and in GCKR influences plasma phospholipid levels of n-3 PUFAs in populations of European ancestry and, for FADS1, in other ancestries. Show less
📄 PDF DOI: 10.1371/journal.pgen.1002193
FADS1