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Dr Hanieh Yaghootkar

Research Fellow

+44 1392 408207

RILD Building 

Hanieh Yaghootkar is a research fellow with a main interest in using genetics to unravel the aetiology of cardiometabolic diseases and their links. Hanieh has been using different methods from Mendelian randomization studies to more sophisticated clustering analysis to find causal directions between biomarkers (such as body fat distribution, adiponectin, lipids etc) and risk of cardiometabolic diseases. She has led a number of genome wide association studies (GWAS) and is also a lead-analyst contributing to the ongoing effort on exome chip analysis of glycaemic traits (as part of the MAGIC consortium), type 2 diabetes, blood pressure, leptin, adiponectin and body fat percentage. Hanieh has expanded her research interest to work at the intersection of common and rare forms of diabetes; she has been recently funded a Wellcome trust Seed Award to study monogenic diabetes in Iran.

Qualifications

  • 2010 – 2013: PhD: Genetics of Human Complex Traits, University of Exeter, UK

The Genetic of Type 2 Diabetes and Its Link to Related Phenotypes – Genetic Analyses and Methods in the Post-GWAS era

 

  • 2008 – 2009: MSc: Medical Informatics (Distinction), University of Exeter, UK

SEBRA: Allowing for phenotype heterogeneity when calculating differential expression (funded by AstraZeneca)

 

  • 2000 – 2008: MD: Medicine, Mashhad University of Medical Sciences, Iran

Tumour necrosis factor- alpha (TNF – alpha) gene polymorphism and its association with preeclampsia

 

Links

Research

Key publications | Publications by category | Publications by year

Publications by category


Journal articles

Jones SE, Tyrrell J, Wood AR, Beaumont RN, Ruth KS, Tuke MA, Yaghootkar H, Hu Y, Teder-Laving M, Hayward C, et al (In Press). Genome-wide association analyses in 128,266 individuals identifies new morningness and sleep duration loci. PLoS Genetics Full text.
Frayling TM, Tyrrell J (In Press). Height, body mass index, and socioeconomic status: mendelian randomisation study in UK Biobank. British Medical Journal Full text.
Lotta LA, Gulati P, Day FR, Payne F, Ongen H, van de Bunt M, Gaulton KJ, Eicher JD, Sharp SJ, Luan J, et al (2017). Corrigendum: Integrative genomic analysis implicates limited peripheral adipose storage capacity in the pathogenesis of human insulin resistance. Nat Genet, 49(2). Author URL.  Full text.
Tyrrell J, Wood AR, Ames RM, Yaghootkar H, Beaumont RN, Jones SE, Tuke MA, Ruth KS, Freathy RM, Davey Smith G, et al (2017). Gene-obesogenic environment interactions in the UK Biobank study. Int J Epidemiol Abstract.  Author URL.  Full text.
Lotta LA, Gulati P, Day FR, Payne F, Ongen H, van de Bunt M, Gaulton KJ, Eicher JD, Sharp SJ, Luan J, et al (2017). Integrative genomic analysis implicates limited peripheral adipose storage capacity in the pathogenesis of human insulin resistance. Nat Genet, 49(1), 17-26. Abstract.  Author URL.  Full text.
Marouli E, Graff M, Medina-Gomez C, Lo KS, Wood AR, Kjaer TR, Fine RS, Lu Y, Schurmann C, Highland HM, et al (2017). Rare and low-frequency coding variants alter human adult height. Nature, 542(7640), 186-190. Abstract.  Author URL.  Full text.
Scott RA, Freitag DF, Li L, Chu AY, Surendran P, Young R, Grarup N, Stancáková A, Chen Y, Varga TV, et al (2016). A genomic approach to therapeutic target validation identifies a glucose-lowering GLP1R variant protective for coronary heart disease. Sci Transl Med, 8(341). Abstract.  Author URL.
Kanoni S, Masca NGD, Stirrups KE, Varga TV, Warren HR, Scott RA, Southam L, Zhang W, Yaghootkar H, Müller-Nurasyid M, et al (2016). Analysis with the exome array identifies multiple new independent variants in lipid loci. Hum Mol Genet, 25(18), 4094-4106. Abstract.  Author URL.
Lee BP, Lloyd-Laney HO, Locke JM, McCulloch LJ, Knight B, Yaghootkar H, Cory G, Kos K, Frayling TM, Harries LW, et al (2016). Functional characterisation of ADIPOQ variants using individuals recruited by genotype. Mol Cell Endocrinol, 428, 49-57. Abstract.  Author URL.  Full text.
Yaghootkar H, Lotta LA, Tyrrell J, Smit RAJ, Jones SE, Donnelly L, Beaumont R, Campbell A, Tuke MA, Hayward C, et al (2016). Genetic Evidence for a Link Between Favorable Adiposity and Lower Risk of Type 2 Diabetes, Hypertension, and Heart Disease. Diabetes, 65(8), 2448-2460. Abstract.  Author URL.  Full text.
Ruth KS, Beaumont RN, Tyrrell J, Jones SE, Tuke MA, Yaghootkar H, Wood AR, Freathy RM, Weedon MN, Frayling TM, et al (2016). Genetic evidence that lower circulating FSH levels lengthen menstrual cycle, increase age at menopause and impact female reproductive health. Hum Reprod, 31(2), 473-481. Abstract.  Author URL.  Full text.
Horikoshi M, Beaumont RN, Day FR, Warrington NM, Kooijman MN, Fernandez-Tajes J, Feenstra B, van Zuydam NR, Gaulton KJ, Grarup N, et al (2016). Genome-wide associations for birth weight and correlations with adult disease. Nature, 538(7624), 248-252. Abstract.  Author URL.  Full text.
Pilling LC, Atkins JL, Bowman K, Jones SE, Tyrrell J, Beaumont RN, Ruth KS, Tuke MA, Yaghootkar H, Wood AR, et al (2016). Human longevity is influenced by many genetic variants: evidence from 75,000 UK Biobank participants. Aging (Albany NY), 8(3), 547-560. Abstract.  Author URL.
Yaghootkar H, Bancks MP, Jones SE, McDaid A, Beaumont R, Donnelly L, Wood AR, Campbell A, Tyrrell J, Hocking LJ, et al (2016). Quantifying the extent to which index event biases influence large genetic association studies. Hum Mol Genet Abstract.  Author URL.  Full text.
Lessard S, Manning AK, Low-Kam C, Auer PL, Giri A, Graff M, Schurmann C, Yaghootkar H, Luan J, Esko T, et al (2016). Testing the role of predicted gene knockouts in human anthropometric trait variation. Hum Mol Genet, 25(10), 2082-2092. Abstract.  Author URL.
Surendran P, Drenos F, Young R, Warren H, Cook JP, Manning AK, Grarup N, Sim X, Barnes DR, Witkowska K, et al (2016). Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension. Nat Genet, 48(10), 1151-1161. Abstract.  Author URL.
Wood AR, Tyrrell J, Beaumont R, Jones SE, Tuke MA, Ruth KS, GIANT consortium, Yaghootkar H, Freathy RM, Murray A, et al (2016). Variants in the FTO and CDKAL1 loci have recessive effects on risk of obesity and type 2 diabetes, respectively. Diabetologia, 59(6), 1214-1221. Abstract.  Author URL.  Full text.
Yaghootkar H, Stancáková A, Freathy RM, Vangipurapu J, Weedon MN, Xie W, Wood AR, Ferrannini E, Mari A, Ring SM, et al (2015). Association analysis of 29,956 individuals confirms that a low-frequency variant at CCND2 halves the risk of type 2 diabetes by enhancing insulin secretion. Diabetes, 64(6), 2279-2285. Abstract.  Author URL.  Full text.
Westra H-J, Arends D, Esko T, Peters MJ, Schurmann C, Schramm K, Kettunen J, Yaghootkar H, Fairfax BP, Andiappan AK, et al (2015). Cell Specific eQTL Analysis without Sorting Cells. PLoS Genet, 11(5). Abstract.  Author URL.
Wessel J, Chu AY, Willems SM, Wang S, Yaghootkar H, Brody JA, Dauriz M, Hivert M-F, Raghavan S, Lipovich L, et al (2015). Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility. Nat Commun, 6 Abstract.  Author URL.  Full text.
Peters MJ, Joehanes R, Pilling LC, Schurmann C, Conneely KN, Powell J, Reinmaa E, Sutphin GL, Zhernakova A, Schramm K, et al (2015). The transcriptional landscape of age in human peripheral blood. Nat Commun, 6 Abstract.  Author URL.  Full text.
Fall T, Xie W, Poon W, Yaghootkar H, Mägi R, GENESIS Consortium, Knowles JW, Lyssenko V, Weedon M, Frayling TM, et al (2015). Using Genetic Variants to Assess the Relationship Between Circulating Lipids and Type 2 Diabetes. Diabetes, 64(7), 2676-2684. Abstract.  Author URL.  Full text.
Ghanbari M, de Vries PS, de Looper H, Peters MJ, Schurmann C, Yaghootkar H, Dörr M, Frayling TM, Uitterlinden AG, Hofman A, et al (2014). A genetic variant in the seed region of miR-4513 shows pleiotropic effects on lipid and glucose homeostasis, blood pressure, and coronary artery disease. Hum Mutat, 35(12), 1524-1531. Abstract.  Author URL.
Scott RA, Fall T, Pasko D, Barker A, Sharp SJ, Arriola L, Balkau B, Barricarte A, Barroso I, Boeing H, et al (2014). Common genetic variants highlight the role of insulin resistance and body fat distribution in type 2 diabetes, independent of obesity. Diabetes, 63(12), 4378-4387. Abstract.  Author URL.
Yaghootkar H, Scott RA, White CC, Zhang W, Speliotes E, Munroe PB, Ehret GB, Bis JC, Fox CS, Walker M, et al (2014). Genetic evidence for a normal-weight "metabolically obese" phenotype linking insulin resistance, hypertension, coronary artery disease, and type 2 diabetes. Diabetes, 63(12), 4369-4377. Abstract.  Author URL.  Full text.
Naderi M, Yaghootkar H, Tara F, Tavakkol Afshari J, Farid Hosseini R, Ghayour Mobarhan M, Shapouri Moghadam A, Mirteimouri M, Tara SM (2014). Tumor necrosis factor-alpha polymorphism at position -238 in preeclampsia. Iran Red Crescent Med J, 16(1). Abstract.  Author URL.
Yaghootkar H, Lamina C, Scott RA, Dastani Z, Hivert M-F, Warren LL, Stancakova A, Buxbaum SG, Lyytikaeinen L-P, Henneman P, et al (2013). Mendelian Randomization Studies Do Not Support a Causal Role for Reduced Circulating Adiponectin Levels in Insulin Resistance and Type 2 Diabetes. DIABETES, 62(10), 3589-3598. Author URL.
Yaghootkar H, Lamina C, Scott R, Dastani Z, Hivert MF, Lawlor D, Meigs J, Richards B, Frayling T, Consortium A, et al (2013). Mendelian randomisation studies do not support a causal role for reduced circulating adiponectin levels in fasting based measures of insulin resistance and Type 2 diabetes. DIABETIC MEDICINE, 30, 30-30. Author URL.
Tyrrell JS, Yaghootkar H, Freathy RM, Hattersley AT, Frayling TM (2013). Parental diabetes and birthweight in 236 030 individuals in the UK biobank study. Int J Epidemiol, 42(6), 1714-1723. Abstract.  Author URL.  Full text.
Yaghootkar H, Frayling TM (2013). Recent progress in the use of genetics to understand links between type 2 diabetes and related metabolic traits. Genome Biol, 14(3). Abstract.  Author URL.
Westra H-J, Peters MJ, Esko T, Yaghootkar H, Schurmann C, Kettunen J, Christiansen MW, Fairfax BP, Schramm K, Powell JE, et al (2013). Systematic identification of trans eQTLs as putative drivers of known disease associations. Nature Genetics
Manning AK, Hivert MF, Scott RA, Grimsby JL, Bouatia-Naji N, Chen H, Rybin D, Liu CT, Bielak LF, Prokopenko I, et al (2012). A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance. Nature Genetics, 44(6), 659-669. Abstract.
Manning AK, Hivert M-F, Scott RA, Grimsby JL, Bouatia-Naji N, Chen H, Rybin D, Liu C-T, Bielak LF, Prokopenko I, et al (2012). A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance. Nature Genetics
Rob Taal H, St Pourcain B, Thiering E, Das S, Mook-Kanamori DO, Warrington NM, Kaakinen M, Kreiner-Møller E, Bradfield JP, Freathy RM, et al (2012). Common variants at 12q15 and 12q24 are associated with infant head circumference. Nature Genetics, 44(5), 532-538. Abstract.
Yaghootkar H, Freathy RM (2012). Genetic origins of low birth weight. Curr Opin Clin Nutr Metab Care, 15(3), 258-264. Abstract.  Author URL.
Boraska V, Day-Williams A, Franklin CS, Elliott KS, Panoutsopoulou K, Tachmazidou I, Albrecht E, Bandinelli S, Beilin LJ, Bochud M, et al (2012). Genome-wide association study to identify common variants associated with brachial circumference: a meta-analysis of 14 cohorts. PLoS ONE, 7(3). Abstract.
Horikoshi M, Yaghootkar H, Mook-Kanamori DO, Sovio U, Taal HR, Hennig BJ, Bradfield JP, St Pourcain B, Evans DM, Charoen P, et al (2012). New loci associated with birth weight identify genetic links between intrauterine growth and adult height and metabolism. Nature Genetics
Wood AR, Hernandez DG, Nalls MA, Yaghootkar H, Gibbs JR, Harries LW, Chong S, Moore M, Weedon MN, Guralnik JM, et al (2011). Allelic heterogeneity and more detailed analyses of known loci explain additional phenotypic variation and reveal complex patterns of association. Hum Mol Genet, 20(20), 4082-4092. Abstract.  Author URL.  Full text.
Harries LW, Hernandez D, Henley W, Wood AR, Holly AC, Bradley-Smith RM, Yaghootkar H, Dutta A, Murray A, Frayling TM, et al (2011). Human aging is characterized by focused changes in gene expression and deregulation of alternative splicing. Aging Cell, 10(5), 868-878. Abstract.  Author URL.
Yaghootkar H, Hernandez D, Nalls M, Wood A, Gibbs R, Harries L, Chong S, Moore M, Guralnik J, Bandinell S, et al (2011). Identifying likely causal connections between gene expression levels using a Mendelian randomization approach. CLINICAL BIOCHEMISTRY, 44(13), S294-S294. Author URL.
Ghayour-Mobarhan M, Yaghootkar H, Lanham-New SA, Lamb DJ, Ferns GA (2007). Association between serum CRP concentrations with dietary intake in healthy and dyslipidaemic patients. Asia Pac J Clin Nutr, 16(2), 262-268. Abstract.  Author URL.

Conferences

Scott RA, Pasko D, Fall T, Yaghootkar H, Barker A, Sharp SJ, Walker M, Wareham NJ, Ingelsson E, Frayling T, et al (2013). A genetic risk score comprising common variants associated with fasting insulin is associated with OGTT- and clamp-based indices of whole body insulin sensitivity.  Author URL.
Horikoshi M, Yaghootkar H, Mook-Kanamori DO, Sovio U, Timpson NJ, Prokopenko I, Freathy RM, Investigators EGGC (2011). Genome-wide association meta-analysis identifies novel genetic loci for birth weight in Europeans.  Author URL.

Publications by year


In Press

Jones SE, Tyrrell J, Wood AR, Beaumont RN, Ruth KS, Tuke MA, Yaghootkar H, Hu Y, Teder-Laving M, Hayward C, et al (In Press). Genome-wide association analyses in 128,266 individuals identifies new morningness and sleep duration loci. PLoS Genetics Full text.
Frayling TM, Tyrrell J (In Press). Height, body mass index, and socioeconomic status: mendelian randomisation study in UK Biobank. British Medical Journal Full text.

2017

Lotta LA, Gulati P, Day FR, Payne F, Ongen H, van de Bunt M, Gaulton KJ, Eicher JD, Sharp SJ, Luan J, et al (2017). Corrigendum: Integrative genomic analysis implicates limited peripheral adipose storage capacity in the pathogenesis of human insulin resistance. Nat Genet, 49(2). Author URL.  Full text.
Tyrrell J, Wood AR, Ames RM, Yaghootkar H, Beaumont RN, Jones SE, Tuke MA, Ruth KS, Freathy RM, Davey Smith G, et al (2017). Gene-obesogenic environment interactions in the UK Biobank study. Int J Epidemiol Abstract.  Author URL.  Full text.
Lotta LA, Gulati P, Day FR, Payne F, Ongen H, van de Bunt M, Gaulton KJ, Eicher JD, Sharp SJ, Luan J, et al (2017). Integrative genomic analysis implicates limited peripheral adipose storage capacity in the pathogenesis of human insulin resistance. Nat Genet, 49(1), 17-26. Abstract.  Author URL.  Full text.
Marouli E, Graff M, Medina-Gomez C, Lo KS, Wood AR, Kjaer TR, Fine RS, Lu Y, Schurmann C, Highland HM, et al (2017). Rare and low-frequency coding variants alter human adult height. Nature, 542(7640), 186-190. Abstract.  Author URL.  Full text.

2016

Scott RA, Freitag DF, Li L, Chu AY, Surendran P, Young R, Grarup N, Stancáková A, Chen Y, Varga TV, et al (2016). A genomic approach to therapeutic target validation identifies a glucose-lowering GLP1R variant protective for coronary heart disease. Sci Transl Med, 8(341). Abstract.  Author URL.
Kanoni S, Masca NGD, Stirrups KE, Varga TV, Warren HR, Scott RA, Southam L, Zhang W, Yaghootkar H, Müller-Nurasyid M, et al (2016). Analysis with the exome array identifies multiple new independent variants in lipid loci. Hum Mol Genet, 25(18), 4094-4106. Abstract.  Author URL.
Lee BP, Lloyd-Laney HO, Locke JM, McCulloch LJ, Knight B, Yaghootkar H, Cory G, Kos K, Frayling TM, Harries LW, et al (2016). Functional characterisation of ADIPOQ variants using individuals recruited by genotype. Mol Cell Endocrinol, 428, 49-57. Abstract.  Author URL.  Full text.
Yaghootkar H, Lotta LA, Tyrrell J, Smit RAJ, Jones SE, Donnelly L, Beaumont R, Campbell A, Tuke MA, Hayward C, et al (2016). Genetic Evidence for a Link Between Favorable Adiposity and Lower Risk of Type 2 Diabetes, Hypertension, and Heart Disease. Diabetes, 65(8), 2448-2460. Abstract.  Author URL.  Full text.
Ruth KS, Beaumont RN, Tyrrell J, Jones SE, Tuke MA, Yaghootkar H, Wood AR, Freathy RM, Weedon MN, Frayling TM, et al (2016). Genetic evidence that lower circulating FSH levels lengthen menstrual cycle, increase age at menopause and impact female reproductive health. Hum Reprod, 31(2), 473-481. Abstract.  Author URL.  Full text.
Horikoshi M, Beaumont RN, Day FR, Warrington NM, Kooijman MN, Fernandez-Tajes J, Feenstra B, van Zuydam NR, Gaulton KJ, Grarup N, et al (2016). Genome-wide associations for birth weight and correlations with adult disease. Nature, 538(7624), 248-252. Abstract.  Author URL.  Full text.
Pilling LC, Atkins JL, Bowman K, Jones SE, Tyrrell J, Beaumont RN, Ruth KS, Tuke MA, Yaghootkar H, Wood AR, et al (2016). Human longevity is influenced by many genetic variants: evidence from 75,000 UK Biobank participants. Aging (Albany NY), 8(3), 547-560. Abstract.  Author URL.
Yaghootkar H, Bancks MP, Jones SE, McDaid A, Beaumont R, Donnelly L, Wood AR, Campbell A, Tyrrell J, Hocking LJ, et al (2016). Quantifying the extent to which index event biases influence large genetic association studies. Hum Mol Genet Abstract.  Author URL.  Full text.
Lessard S, Manning AK, Low-Kam C, Auer PL, Giri A, Graff M, Schurmann C, Yaghootkar H, Luan J, Esko T, et al (2016). Testing the role of predicted gene knockouts in human anthropometric trait variation. Hum Mol Genet, 25(10), 2082-2092. Abstract.  Author URL.
Surendran P, Drenos F, Young R, Warren H, Cook JP, Manning AK, Grarup N, Sim X, Barnes DR, Witkowska K, et al (2016). Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension. Nat Genet, 48(10), 1151-1161. Abstract.  Author URL.
Wood AR, Tyrrell J, Beaumont R, Jones SE, Tuke MA, Ruth KS, GIANT consortium, Yaghootkar H, Freathy RM, Murray A, et al (2016). Variants in the FTO and CDKAL1 loci have recessive effects on risk of obesity and type 2 diabetes, respectively. Diabetologia, 59(6), 1214-1221. Abstract.  Author URL.  Full text.

2015

Yaghootkar H, Stancáková A, Freathy RM, Vangipurapu J, Weedon MN, Xie W, Wood AR, Ferrannini E, Mari A, Ring SM, et al (2015). Association analysis of 29,956 individuals confirms that a low-frequency variant at CCND2 halves the risk of type 2 diabetes by enhancing insulin secretion. Diabetes, 64(6), 2279-2285. Abstract.  Author URL.  Full text.
Westra H-J, Arends D, Esko T, Peters MJ, Schurmann C, Schramm K, Kettunen J, Yaghootkar H, Fairfax BP, Andiappan AK, et al (2015). Cell Specific eQTL Analysis without Sorting Cells. PLoS Genet, 11(5). Abstract.  Author URL.
Wessel J, Chu AY, Willems SM, Wang S, Yaghootkar H, Brody JA, Dauriz M, Hivert M-F, Raghavan S, Lipovich L, et al (2015). Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility. Nat Commun, 6 Abstract.  Author URL.  Full text.
Peters MJ, Joehanes R, Pilling LC, Schurmann C, Conneely KN, Powell J, Reinmaa E, Sutphin GL, Zhernakova A, Schramm K, et al (2015). The transcriptional landscape of age in human peripheral blood. Nat Commun, 6 Abstract.  Author URL.  Full text.
Fall T, Xie W, Poon W, Yaghootkar H, Mägi R, GENESIS Consortium, Knowles JW, Lyssenko V, Weedon M, Frayling TM, et al (2015). Using Genetic Variants to Assess the Relationship Between Circulating Lipids and Type 2 Diabetes. Diabetes, 64(7), 2676-2684. Abstract.  Author URL.  Full text.

2014

Ghanbari M, de Vries PS, de Looper H, Peters MJ, Schurmann C, Yaghootkar H, Dörr M, Frayling TM, Uitterlinden AG, Hofman A, et al (2014). A genetic variant in the seed region of miR-4513 shows pleiotropic effects on lipid and glucose homeostasis, blood pressure, and coronary artery disease. Hum Mutat, 35(12), 1524-1531. Abstract.  Author URL.
Scott RA, Fall T, Pasko D, Barker A, Sharp SJ, Arriola L, Balkau B, Barricarte A, Barroso I, Boeing H, et al (2014). Common genetic variants highlight the role of insulin resistance and body fat distribution in type 2 diabetes, independent of obesity. Diabetes, 63(12), 4378-4387. Abstract.  Author URL.
Yaghootkar H, Scott RA, White CC, Zhang W, Speliotes E, Munroe PB, Ehret GB, Bis JC, Fox CS, Walker M, et al (2014). Genetic evidence for a normal-weight "metabolically obese" phenotype linking insulin resistance, hypertension, coronary artery disease, and type 2 diabetes. Diabetes, 63(12), 4369-4377. Abstract.  Author URL.  Full text.
Naderi M, Yaghootkar H, Tara F, Tavakkol Afshari J, Farid Hosseini R, Ghayour Mobarhan M, Shapouri Moghadam A, Mirteimouri M, Tara SM (2014). Tumor necrosis factor-alpha polymorphism at position -238 in preeclampsia. Iran Red Crescent Med J, 16(1). Abstract.  Author URL.

2013

Scott RA, Pasko D, Fall T, Yaghootkar H, Barker A, Sharp SJ, Walker M, Wareham NJ, Ingelsson E, Frayling T, et al (2013). A genetic risk score comprising common variants associated with fasting insulin is associated with OGTT- and clamp-based indices of whole body insulin sensitivity.  Author URL.
Yaghootkar H, Lamina C, Scott RA, Dastani Z, Hivert M-F, Warren LL, Stancakova A, Buxbaum SG, Lyytikaeinen L-P, Henneman P, et al (2013). Mendelian Randomization Studies Do Not Support a Causal Role for Reduced Circulating Adiponectin Levels in Insulin Resistance and Type 2 Diabetes. DIABETES, 62(10), 3589-3598. Author URL.
Yaghootkar H, Lamina C, Scott R, Dastani Z, Hivert MF, Lawlor D, Meigs J, Richards B, Frayling T, Consortium A, et al (2013). Mendelian randomisation studies do not support a causal role for reduced circulating adiponectin levels in fasting based measures of insulin resistance and Type 2 diabetes. DIABETIC MEDICINE, 30, 30-30. Author URL.
Tyrrell JS, Yaghootkar H, Freathy RM, Hattersley AT, Frayling TM (2013). Parental diabetes and birthweight in 236 030 individuals in the UK biobank study. Int J Epidemiol, 42(6), 1714-1723. Abstract.  Author URL.  Full text.
Yaghootkar H, Frayling TM (2013). Recent progress in the use of genetics to understand links between type 2 diabetes and related metabolic traits. Genome Biol, 14(3). Abstract.  Author URL.
Westra H-J, Peters MJ, Esko T, Yaghootkar H, Schurmann C, Kettunen J, Christiansen MW, Fairfax BP, Schramm K, Powell JE, et al (2013). Systematic identification of trans eQTLs as putative drivers of known disease associations. Nature Genetics

2012

Manning AK, Hivert MF, Scott RA, Grimsby JL, Bouatia-Naji N, Chen H, Rybin D, Liu CT, Bielak LF, Prokopenko I, et al (2012). A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance. Nature Genetics, 44(6), 659-669. Abstract.
Manning AK, Hivert M-F, Scott RA, Grimsby JL, Bouatia-Naji N, Chen H, Rybin D, Liu C-T, Bielak LF, Prokopenko I, et al (2012). A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance. Nature Genetics
Rob Taal H, St Pourcain B, Thiering E, Das S, Mook-Kanamori DO, Warrington NM, Kaakinen M, Kreiner-Møller E, Bradfield JP, Freathy RM, et al (2012). Common variants at 12q15 and 12q24 are associated with infant head circumference. Nature Genetics, 44(5), 532-538. Abstract.
Yaghootkar H, Freathy RM (2012). Genetic origins of low birth weight. Curr Opin Clin Nutr Metab Care, 15(3), 258-264. Abstract.  Author URL.
Boraska V, Day-Williams A, Franklin CS, Elliott KS, Panoutsopoulou K, Tachmazidou I, Albrecht E, Bandinelli S, Beilin LJ, Bochud M, et al (2012). Genome-wide association study to identify common variants associated with brachial circumference: a meta-analysis of 14 cohorts. PLoS ONE, 7(3). Abstract.
Horikoshi M, Yaghootkar H, Mook-Kanamori DO, Sovio U, Taal HR, Hennig BJ, Bradfield JP, St Pourcain B, Evans DM, Charoen P, et al (2012). New loci associated with birth weight identify genetic links between intrauterine growth and adult height and metabolism. Nature Genetics

2011

Wood AR, Hernandez DG, Nalls MA, Yaghootkar H, Gibbs JR, Harries LW, Chong S, Moore M, Weedon MN, Guralnik JM, et al (2011). Allelic heterogeneity and more detailed analyses of known loci explain additional phenotypic variation and reveal complex patterns of association. Hum Mol Genet, 20(20), 4082-4092. Abstract.  Author URL.  Full text.
Horikoshi M, Yaghootkar H, Mook-Kanamori DO, Sovio U, Timpson NJ, Prokopenko I, Freathy RM, Investigators EGGC (2011). Genome-wide association meta-analysis identifies novel genetic loci for birth weight in Europeans.  Author URL.
Harries LW, Hernandez D, Henley W, Wood AR, Holly AC, Bradley-Smith RM, Yaghootkar H, Dutta A, Murray A, Frayling TM, et al (2011). Human aging is characterized by focused changes in gene expression and deregulation of alternative splicing. Aging Cell, 10(5), 868-878. Abstract.  Author URL.
Yaghootkar H, Hernandez D, Nalls M, Wood A, Gibbs R, Harries L, Chong S, Moore M, Guralnik J, Bandinell S, et al (2011). Identifying likely causal connections between gene expression levels using a Mendelian randomization approach. CLINICAL BIOCHEMISTRY, 44(13), S294-S294. Author URL.

2007

Ghayour-Mobarhan M, Yaghootkar H, Lanham-New SA, Lamb DJ, Ferns GA (2007). Association between serum CRP concentrations with dietary intake in healthy and dyslipidaemic patients. Asia Pac J Clin Nutr, 16(2), 262-268. Abstract.  Author URL.

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