Browsing Centre for Clinical Pharmacology by Author "Yaghootkar, H"
Now showing items 1-17 of 17
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CNV-association meta-analysis in 191,161 European adults reveals new loci associated with anthropometric traits.
Macé, A; Tuke, MA; Deelen, P; Kristiansson, K; Mattsson, H; Nõukas, M; Sapkota, Y; Schick, U; Porcu, E; Rüeger, S (2017-09-29)There are few examples of robust associations between rare copy number variants (CNVs) and complex continuous human traits. Here we present a large-scale CNV association meta-analysis on anthropometric traits in up to ... -
Exome Chip Meta-analysis Fine Maps Causal Variants and Elucidates the Genetic Architecture of Rare Coding Variants in Smoking and Alcohol Use
Brazel, DM; Jiang, Y; Hughey, JM; Turcot, V; Zhan, X; Gong, J; Batini, C; Weissenkampen, JD; Liu, M; Barnes, DR (2019-06-01) -
Exome-wide association study of plasma lipids in > 300,000 individuals
Liu, DJ; Peloso, GM; Yu, H; Butterworth, AS; Wang, X; Mahajan, A; Saleheen, D; Emdin, C; Alam, D; Alves, AC (2017-12) -
Genetic Evidence for a Normal-Weight "Metabolically Obese" Phenotype Linking Insulin Resistance, Hypertension, Coronary Artery Disease, and Type 2 Diabetes
Yaghootkar, H; Scott, RA; White, CC; Zhang, W; Speliotes, E; Munroe, PB; Ehret, GB; Bis, JC; Fox, CS; Walker, M (2014-12) -
A genomic approach to therapeutic target validation identifies a glucose-lowering GLP1R variant protective for coronary heart disease
Scott, RA; Freitag, DF; Li, L; Chu, AY; Surendran, P; Young, R; Grarup, N; Stancakova, A; Chen, Y; Varga, TV (2016-06-01) -
Meta-analysis of genome-wide association studies for body fat distribution in 694 649 individuals of European ancestry.
Pulit, SL; Stoneman, C; Morris, AP; Wood, AR; Glastonbury, CA; Tyrrell, J; Yengo, L; Ferreira, T; Marouli, E; Ji, Y (Oxford University Press, 2018-09-04)More than one in three adults worldwide is either overweight or obese. Epidemiological studies indicate that the location and distribution of excess fat, rather than general adiposity, are more informative for predicting ... -
Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci.
Erzurumluoglu, AM; Liu, M; Jackson, VE; Barnes, DR; Datta, G; Melbourne, CA; Young, R; Batini, C; Surendran, P; Jiang, T (Springer Nature, 2019-01-07)Smoking is a major heritable and modifiable risk factor for many diseases, including cancer, common respiratory disorders and cardiovascular diseases. Fourteen genetic loci have previously been associated with smoking ... -
Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity
Turcot, V; Lu, Y; Highland, HM; Schurmann, C; Justice, AE; Fine, RS; Bradfield, JP; Esko, T; Giri, A; Graff, M (2018-01) -
Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity (vol 50, pg 26, 2017)
Turcot, V; Lu, Y; Highland, HM; Schurmann, C; Justice, AE; Fine, RS; Bradfield, JP; Esko, T; Giri, A; Graff, M (2019-07) -
Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity (vol 50, pg 26, 2018)
Turcot, V; Lu, Y; Highland, HM; Schurmann, C; Justice, AE; Fine, RS; Bradfield, JP; Esko, T; Giri, A; Graff, M (2018-05) -
Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity (vol 50, pg 765, 2017)
Turcot, V; Lu, Y; Highland, HM; Schurmann, C; Justice, AE; Fine, RS; Bradfield, JP; Esko, T; Giri, A; Graff, M (2018-05) -
Protein-coding variants implicate novel genes related to lipid homeostasis contributing to body-fat distribution.
Justice, AE; Karaderi, T; Highland, HM; Young, KL; Graff, M; Lu, Y; Turcot, V; Auer, PL; Fine, RS; Guo, X (Nature Research (part of Springer Nature), 2019-02-18)Body-fat distribution is a risk factor for adverse cardiovascular health consequences. We analyzed the association of body-fat distribution, assessed by waist-to-hip ratio adjusted for body mass index, with 228,985 predicted ... -
Quantifying the extent to which index event biases influence large genetic association studies
Yaghootkar, H; Bancks, MP; Jones, SE; McDaid, A; Beaumont, R; Donnelly, L; Wood, AR; Campbell, A; Tyrrell, J; Hocking, LJ (2017-03-01) -
Rare and low-frequency coding variants alter human adult height
Marouli, E; Graff, M; Medina-Gomez, C; Lo, KS; Wood, AR; Kjaer, TR; Fine, RS; Lu, Y; Schurmann, C; Highland, HM (2017-02-09) -
Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes
Mahajan, A; Wessel, J; Willems, SM; Zhao, W; Robertson, NR; Chu, AY; Gan, W; Kitajima, H; Taliun, D; Rayner, NW (Nature Research (part of Springer Nature), 2018-04-09)We aggregated coding variant data for 81,412 type 2 diabetes cases and 370,832 controls of diverse ancestry, identifying 40 coding variant association signals (P < 2.2 × 10−7); of these, 16 map outside known risk-associated ... -
Testing the role of predicted gene knockouts in human anthropometric trait variation
Lessard, S; Manning, AK; Low-Kam, C; Auer, PL; Giri, A; Graff, M; Schurmann, C; Yaghootkar, H; Luan, J; Esko, T (2016-05-15) -
Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension
Surendran, P; Drenos, F; Young, R; Warren, H; Cook, JP; Manning, AK; Grarup, N; Sim, X; Barnes, DR; Witkowska, K (2016-10)