@article {1141, title = {Multiple loci influence erythrocyte phenotypes in the CHARGE Consortium.}, journal = {Nat Genet}, volume = {41}, year = {2009}, month = {2009 Nov}, pages = {1191-8}, abstract = {

Measurements of erythrocytes within the blood are important clinical traits and can indicate various hematological disorders. We report here genome-wide association studies (GWAS) for six erythrocyte traits, including hemoglobin concentration (Hb), hematocrit (Hct), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC) and red blood cell count (RBC). We performed an initial GWAS in cohorts of the CHARGE Consortium totaling 24,167 individuals of European ancestry and replication in additional independent cohorts of the HaemGen Consortium totaling 9,456 individuals. We identified 23 loci significantly associated with these traits in a meta-analysis of the discovery and replication cohorts (combined P values ranging from 5 x 10(-8) to 7 x 10(-86)). Our findings include loci previously associated with these traits (HBS1L-MYB, HFE, TMPRSS6, TFR2, SPTA1) as well as new associations (EPO, TFRC, SH2B3 and 15 other loci). This study has identified new determinants of erythrocyte traits, offering insight into common variants underlying variation in erythrocyte measures.

}, keywords = {Blood Pressure, Cell Line, Cohort Studies, Endothelial Cells, Erythrocytes, Gene Expression, Genome, Human, Genome-Wide Association Study, Humans, Hypertension, Phenotype, Polymorphism, Single Nucleotide, Quantitative Trait Loci}, issn = {1546-1718}, doi = {10.1038/ng.466}, author = {Ganesh, Santhi K and Zakai, Neil A and van Rooij, Frank J A and Soranzo, Nicole and Smith, Albert V and Nalls, Michael A and Chen, Ming-Huei and K{\"o}ttgen, Anna and Glazer, Nicole L and Dehghan, Abbas and Kuhnel, Brigitte and Aspelund, Thor and Yang, Qiong and Tanaka, Toshiko and Jaffe, Andrew and Bis, Joshua C M and Verwoert, Germaine C and Teumer, Alexander and Fox, Caroline S and Guralnik, Jack M and Ehret, Georg B and Rice, Kenneth and Felix, Janine F and Rendon, Augusto and Eiriksdottir, Gudny and Levy, Daniel and Patel, Kushang V and Boerwinkle, Eric and Rotter, Jerome I and Hofman, Albert and Sambrook, Jennifer G and Hernandez, Dena G and Zheng, Gang and Bandinelli, Stefania and Singleton, Andrew B and Coresh, Josef and Lumley, Thomas and Uitterlinden, Andr{\'e} G and Vangils, Janine M and Launer, Lenore J and Cupples, L Adrienne and Oostra, Ben A and Zwaginga, Jaap-Jan and Ouwehand, Willem H and Thein, Swee-Lay and Meisinger, Christa and Deloukas, Panos and Nauck, Matthias and Spector, Tim D and Gieger, Christian and Gudnason, Vilmundur and van Duijn, Cornelia M and Psaty, Bruce M and Ferrucci, Luigi and Chakravarti, Aravinda and Greinacher, Andreas and O{\textquoteright}Donnell, Christopher J and Witteman, Jacqueline C M and Furth, Susan and Cushman, Mary and Harris, Tamara B and Lin, Jing-Ping} } @article {1206, title = {Common genetic variants associate with serum phosphorus concentration.}, journal = {J Am Soc Nephrol}, volume = {21}, year = {2010}, month = {2010 Jul}, pages = {1223-32}, abstract = {

Phosphorus is an essential mineral that maintains cellular energy and mineralizes the skeleton. Because complex actions of ion transporters and regulatory hormones regulate serum phosphorus concentrations, genetic variation may determine interindividual variation in phosphorus metabolism. Here, we report a comprehensive genome-wide association study of serum phosphorus concentration. We evaluated 16,264 participants of European ancestry from the Cardiovascular Heath Study, Atherosclerosis Risk in Communities Study, Framingham Offspring Study, and the Rotterdam Study. We excluded participants with an estimated GFR <45 ml/min per 1.73 m(2) to focus on phosphorus metabolism under normal conditions. We imputed genotypes to approximately 2.5 million single-nucleotide polymorphisms in the HapMap and combined study-specific findings using meta-analysis. We tested top polymorphisms from discovery cohorts in a 5444-person replication sample. Polymorphisms in seven loci with minor allele frequencies 0.08 to 0.49 associate with serum phosphorus concentration (P = 3.5 x 10(-16) to 3.6 x 10(-7)). Three loci were near genes encoding the kidney-specific type IIa sodium phosphate co-transporter (SLC34A1), the calcium-sensing receptor (CASR), and fibroblast growth factor 23 (FGF23), proteins that contribute to phosphorus metabolism. We also identified genes encoding phosphatases, kinases, and phosphodiesterases that have yet-undetermined roles in phosphorus homeostasis. In the replication sample, five of seven top polymorphisms associate with serum phosphorous concentrations (P < 0.05 for each). In conclusion, common genetic variants associate with serum phosphorus in the general population. Further study of the loci identified in this study may help elucidate mechanisms of phosphorus regulation.

}, keywords = {Adult, Aged, European Continental Ancestry Group, Female, Fibroblast Growth Factors, Gene Frequency, Genetic Loci, Genetic Variation, Genome-Wide Association Study, Humans, Kidney, Male, Middle Aged, Phosphorus, Polymorphism, Single Nucleotide, Receptors, Calcium-Sensing, Sex Factors, Sodium-Phosphate Cotransporter Proteins, Type IIa}, issn = {1533-3450}, doi = {10.1681/ASN.2009111104}, author = {Kestenbaum, Bryan and Glazer, Nicole L and K{\"o}ttgen, Anna and Felix, Janine F and Hwang, Shih-Jen and Liu, Yongmei and Lohman, Kurt and Kritchevsky, Stephen B and Hausman, Dorothy B and Petersen, Ann-Kristin and Gieger, Christian and Ried, Janina S and Meitinger, Thomas and Strom, Tim M and Wichmann, H Erich and Campbell, Harry and Hayward, Caroline and Rudan, Igor and de Boer, Ian H and Psaty, Bruce M and Rice, Kenneth M and Chen, Yii-Der Ida and Li, Man and Arking, Dan E and Boerwinkle, Eric and Coresh, Josef and Yang, Qiong and Levy, Daniel and van Rooij, Frank J A and Dehghan, Abbas and Rivadeneira, Fernando and Uitterlinden, Andr{\'e} G and Hofman, Albert and van Duijn, Cornelia M and Shlipak, Michael G and Kao, W H Linda and Witteman, Jacqueline C M and Siscovick, David S and Fox, Caroline S} } @article {1223, title = {Genome-wide association studies of serum magnesium, potassium, and sodium concentrations identify six Loci influencing serum magnesium levels.}, journal = {PLoS Genet}, volume = {6}, year = {2010}, month = {2010 Aug 05}, abstract = {

Magnesium, potassium, and sodium, cations commonly measured in serum, are involved in many physiological processes including energy metabolism, nerve and muscle function, signal transduction, and fluid and blood pressure regulation. To evaluate the contribution of common genetic variation to normal physiologic variation in serum concentrations of these cations, we conducted genome-wide association studies of serum magnesium, potassium, and sodium concentrations using approximately 2.5 million genotyped and imputed common single nucleotide polymorphisms (SNPs) in 15,366 participants of European descent from the international CHARGE Consortium. Study-specific results were combined using fixed-effects inverse-variance weighted meta-analysis. SNPs demonstrating genome-wide significant (p<5 x 10(-8)) or suggestive associations (p<4 x 10(-7)) were evaluated for replication in an additional 8,463 subjects of European descent. The association of common variants at six genomic regions (in or near MUC1, ATP2B1, DCDC5, TRPM6, SHROOM3, and MDS1) with serum magnesium levels was genome-wide significant when meta-analyzed with the replication dataset. All initially significant SNPs from the CHARGE Consortium showed nominal association with clinically defined hypomagnesemia, two showed association with kidney function, two with bone mineral density, and one of these also associated with fasting glucose levels. Common variants in CNNM2, a magnesium transporter studied only in model systems to date, as well as in CNNM3 and CNNM4, were also associated with magnesium concentrations in this study. We observed no associations with serum sodium or potassium levels exceeding p<4 x 10(-7). Follow-up studies of newly implicated genomic loci may provide additional insights into the regulation and homeostasis of human serum magnesium levels.

}, keywords = {Adult, Aged, European Continental Ancestry Group, Female, Genome-Wide Association Study, Humans, Magnesium, Male, Middle Aged, Polymorphism, Single Nucleotide, Potassium, Sodium}, issn = {1553-7404}, doi = {10.1371/journal.pgen.1001045}, author = {Meyer, Tamra E and Verwoert, Germaine C and Hwang, Shih-Jen and Glazer, Nicole L and Smith, Albert V and van Rooij, Frank J A and Ehret, Georg B and Boerwinkle, Eric and Felix, Janine F and Leak, Tennille S and Harris, Tamara B and Yang, Qiong and Dehghan, Abbas and Aspelund, Thor and Katz, Ronit and Homuth, Georg and Kocher, Thomas and Rettig, Rainer and Ried, Janina S and Gieger, Christian and Prucha, Hanna and Pfeufer, Arne and Meitinger, Thomas and Coresh, Josef and Hofman, Albert and Sarnak, Mark J and Chen, Yii-Der Ida and Uitterlinden, Andr{\'e} G and Chakravarti, Aravinda and Psaty, Bruce M and van Duijn, Cornelia M and Kao, W H Linda and Witteman, Jacqueline C M and Gudnason, Vilmundur and Siscovick, David S and Fox, Caroline S and K{\"o}ttgen, Anna} } @article {1222, title = {Interactions of dietary whole-grain intake with fasting glucose- and insulin-related genetic loci in individuals of European descent: a meta-analysis of 14 cohort studies.}, journal = {Diabetes Care}, volume = {33}, year = {2010}, month = {2010 Dec}, pages = {2684-91}, abstract = {

OBJECTIVE: Whole-grain foods are touted for multiple health benefits, including enhancing insulin sensitivity and reducing type 2 diabetes risk. Recent genome-wide association studies (GWAS) have identified several single nucleotide polymorphisms (SNPs) associated with fasting glucose and insulin concentrations in individuals free of diabetes. We tested the hypothesis that whole-grain food intake and genetic variation interact to influence concentrations of fasting glucose and insulin.

RESEARCH DESIGN AND METHODS: Via meta-analysis of data from 14 cohorts comprising \~{} 48,000 participants of European descent, we studied interactions of whole-grain intake with loci previously associated in GWAS with fasting glucose (16 loci) and/or insulin (2 loci) concentrations. For tests of interaction, we considered a P value <0.0028 (0.05 of 18 tests) as statistically significant.

RESULTS: Greater whole-grain food intake was associated with lower fasting glucose and insulin concentrations independent of demographics, other dietary and lifestyle factors, and BMI (β [95\% CI] per 1-serving-greater whole-grain intake: -0.009 mmol/l glucose [-0.013 to -0.005], P < 0.0001 and -0.011 pmol/l [ln] insulin [-0.015 to -0.007], P = 0.0003). No interactions met our multiple testing-adjusted statistical significance threshold. The strongest SNP interaction with whole-grain intake was rs780094 (GCKR) for fasting insulin (P = 0.006), where greater whole-grain intake was associated with a smaller reduction in fasting insulin concentrations in those with the insulin-raising allele.

CONCLUSIONS: Our results support the favorable association of whole-grain intake with fasting glucose and insulin and suggest a potential interaction between variation in GCKR and whole-grain intake in influencing fasting insulin concentrations.

}, keywords = {Adult, Aged, Blood Glucose, Edible Grain, European Continental Ancestry Group, Fasting, Female, Genetic Loci, Genome-Wide Association Study, Genotype, Humans, Insulin, Male, Middle Aged, Polymorphism, Single Nucleotide}, issn = {1935-5548}, doi = {10.2337/dc10-1150}, author = {Nettleton, Jennifer A and McKeown, Nicola M and Kanoni, Stavroula and Lemaitre, Rozenn N and Hivert, Marie-France and Ngwa, Julius and van Rooij, Frank J A and Sonestedt, Emily and Wojczynski, Mary K and Ye, Zheng and Tanaka, Tosh and Garcia, Melissa and Anderson, Jennifer S and Follis, Jack L and Djouss{\'e}, Luc and Mukamal, Kenneth and Papoutsakis, Constantina and Mozaffarian, Dariush and Zillikens, M Carola and Bandinelli, Stefania and Bennett, Amanda J and Borecki, Ingrid B and Feitosa, Mary F and Ferrucci, Luigi and Forouhi, Nita G and Groves, Christopher J and Hallmans, G{\"o}ran and Harris, Tamara and Hofman, Albert and Houston, Denise K and Hu, Frank B and Johansson, Ingegerd and Kritchevsky, Stephen B and Langenberg, Claudia and Launer, Lenore and Liu, Yongmei and Loos, Ruth J and Nalls, Michael and Orho-Melander, Marju and Renstrom, Frida and Rice, Kenneth and Riserus, Ulf and Rolandsson, Olov and Rotter, Jerome I and Saylor, Georgia and Sijbrands, Eric J G and Sjogren, Per and Smith, Albert and Steingr{\'\i}msd{\'o}ttir, Laufey and Uitterlinden, Andr{\'e} G and Wareham, Nicholas J and Prokopenko, Inga and Pankow, James S and van Duijn, Cornelia M and Florez, Jose C and Witteman, Jacqueline C M and Dupuis, Jos{\'e}e and Dedoussis, George V and Ordovas, Jose M and Ingelsson, Erik and Cupples, L Adrienne and Siscovick, David S and Franks, Paul W and Meigs, James B} } @article {1308, title = {Total zinc intake may modify the glucose-raising effect of a zinc transporter (SLC30A8) variant: a 14-cohort meta-analysis.}, journal = {Diabetes}, volume = {60}, year = {2011}, month = {2011 Sep}, pages = {2407-16}, abstract = {

OBJECTIVE: Many genetic variants have been associated with glucose homeostasis and type 2 diabetes in genome-wide association studies. Zinc is an essential micronutrient that is important for β-cell function and glucose homeostasis. We tested the hypothesis that zinc intake could influence the glucose-raising effect of specific variants.

RESEARCH DESIGN AND METHODS: We conducted a 14-cohort meta-analysis to assess the interaction of 20 genetic variants known to be related to glycemic traits and zinc metabolism with dietary zinc intake (food sources) and a 5-cohort meta-analysis to assess the interaction with total zinc intake (food sources and supplements) on fasting glucose levels among individuals of European ancestry without diabetes.

RESULTS: We observed a significant association of total zinc intake with lower fasting glucose levels (β-coefficient {\textpm} SE per 1 mg/day of zinc intake: -0.0012 {\textpm} 0.0003 mmol/L, summary P value = 0.0003), while the association of dietary zinc intake was not significant. We identified a nominally significant interaction between total zinc intake and the SLC30A8 rs11558471 variant on fasting glucose levels (β-coefficient {\textpm} SE per A allele for 1 mg/day of greater total zinc intake: -0.0017 {\textpm} 0.0006 mmol/L, summary interaction P value = 0.005); this result suggests a stronger inverse association between total zinc intake and fasting glucose in individuals carrying the glucose-raising A allele compared with individuals who do not carry it. None of the other interaction tests were statistically significant.

CONCLUSIONS: Our results suggest that higher total zinc intake may attenuate the glucose-raising effect of the rs11558471 SLC30A8 (zinc transporter) variant. Our findings also support evidence for the association of higher total zinc intake with lower fasting glucose levels.

}, keywords = {Blood Glucose, Cation Transport Proteins, Cohort Studies, Humans, Polymorphism, Single Nucleotide, Zinc, Zinc Transporter 8}, issn = {1939-327X}, doi = {10.2337/db11-0176}, author = {Kanoni, Stavroula and Nettleton, Jennifer A and Hivert, Marie-France and Ye, Zheng and van Rooij, Frank J A and Shungin, Dmitry and Sonestedt, Emily and Ngwa, Julius S and Wojczynski, Mary K and Lemaitre, Rozenn N and Gustafsson, Stefan and Anderson, Jennifer S and Tanaka, Toshiko and Hindy, George and Saylor, Georgia and Renstrom, Frida and Bennett, Amanda J and van Duijn, Cornelia M and Florez, Jose C and Fox, Caroline S and Hofman, Albert and Hoogeveen, Ron C and Houston, Denise K and Hu, Frank B and Jacques, Paul F and Johansson, Ingegerd and Lind, Lars and Liu, Yongmei and McKeown, Nicola and Ordovas, Jose and Pankow, James S and Sijbrands, Eric J G and Syv{\"a}nen, Ann-Christine and Uitterlinden, Andr{\'e} G and Yannakoulia, Mary and Zillikens, M Carola and Wareham, Nick J and Prokopenko, Inga and Bandinelli, Stefania and Forouhi, Nita G and Cupples, L Adrienne and Loos, Ruth J and Hallmans, G{\"o}ran and Dupuis, Jos{\'e}e and Langenberg, Claudia and Ferrucci, Luigi and Kritchevsky, Stephen B and McCarthy, Mark I and Ingelsson, Erik and Borecki, Ingrid B and Witteman, Jacqueline C M and Orho-Melander, Marju and Siscovick, David S and Meigs, James B and Franks, Paul W and Dedoussis, George V} } @article {6163, title = {Genome-wide meta-analysis of observational studies shows common genetic variants associated with macronutrient intake.}, journal = {Am J Clin Nutr}, volume = {97}, year = {2013}, month = {2013 Jun}, pages = {1395-402}, abstract = {

BACKGROUND: Macronutrient intake varies substantially between individuals, and there is evidence that this variation is partly accounted for by genetic variants.

OBJECTIVE: The objective of the study was to identify common genetic variants that are associated with macronutrient intake.

DESIGN: We performed 2-stage genome-wide association (GWA) meta-analysis of macronutrient intake in populations of European descent. Macronutrients were assessed by using food-frequency questionnaires and analyzed as percentages of total energy consumption from total fat, protein, and carbohydrate. From the discovery GWA (n = 38,360), 35 independent loci associated with macronutrient intake at P < 5 {\texttimes} 10(-6) were identified and taken forward to replication in 3 additional cohorts (n = 33,533) from the DietGen Consortium. For one locus, fat mass obesity-associated protein (FTO), cohorts with Illumina MetaboChip genotype data (n = 7724) provided additional replication data.

RESULTS: A variant in the chromosome 19 locus (rs838145) was associated with higher carbohydrate (β {\textpm} SE: 0.25 {\textpm} 0.04\%; P = 1.68 {\texttimes} 10(-8)) and lower fat (β {\textpm} SE: -0.21 {\textpm} 0.04\%; P = 1.57 {\texttimes} 10(-9)) consumption. A candidate gene in this region, fibroblast growth factor 21 (FGF21), encodes a fibroblast growth factor involved in glucose and lipid metabolism. The variants in this locus were associated with circulating FGF21 protein concentrations (P < 0.05) but not mRNA concentrations in blood or brain. The body mass index (BMI)-increasing allele of the FTO variant (rs1421085) was associated with higher protein intake (β {\textpm} SE: 0.10 {\textpm} 0.02\%; P = 9.96 {\texttimes} 10(-10)), independent of BMI (after adjustment for BMI, β {\textpm} SE: 0.08 {\textpm} 0.02\%; P = 3.15 {\texttimes} 10(-7)).

CONCLUSION: Our results indicate that variants in genes involved in nutrient metabolism and obesity are associated with macronutrient consumption in humans. Trials related to this study were registered at clinicaltrials.gov as NCT00005131 (Atherosclerosis Risk in Communities), NCT00005133 (Cardiovascular Health Study), NCT00005136 (Family Heart Study), NCT00005121 (Framingham Heart Study), NCT00083369 (Genetic and Environmental Determinants of Triglycerides), NCT01331512 (InCHIANTI Study), and NCT00005487 (Multi-Ethnic Study of Atherosclerosis).

}, keywords = {Alleles, Atherosclerosis, Body Mass Index, Dietary Carbohydrates, Dietary Fats, Dietary Proteins, Energy Intake, European Continental Ancestry Group, Fibroblast Growth Factors, Follow-Up Studies, Gene-Environment Interaction, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Life Style, Obesity, Polymorphism, Single Nucleotide, Prospective Studies, Quantitative Trait Loci, Surveys and Questionnaires}, issn = {1938-3207}, doi = {10.3945/ajcn.112.052183}, author = {Tanaka, Toshiko and Ngwa, Julius S and van Rooij, Frank J A and Zillikens, M Carola and Wojczynski, Mary K and Frazier-Wood, Alexis C and Houston, Denise K and Kanoni, Stavroula and Lemaitre, Rozenn N and Luan, Jian{\textquoteright}an and Mikkil{\"a}, Vera and Renstrom, Frida and Sonestedt, Emily and Zhao, Jing Hua and Chu, Audrey Y and Qi, Lu and Chasman, Daniel I and de Oliveira Otto, Marcia C and Dhurandhar, Emily J and Feitosa, Mary F and Johansson, Ingegerd and Khaw, Kay-Tee and Lohman, Kurt K and Manichaikul, Ani and McKeown, Nicola M and Mozaffarian, Dariush and Singleton, Andrew and Stirrups, Kathleen and Viikari, Jorma and Ye, Zheng and Bandinelli, Stefania and Barroso, In{\^e}s and Deloukas, Panos and Forouhi, Nita G and Hofman, Albert and Liu, Yongmei and Lyytik{\"a}inen, Leo-Pekka and North, Kari E and Dimitriou, Maria and Hallmans, G{\"o}ran and K{\"a}h{\"o}nen, Mika and Langenberg, Claudia and Ordovas, Jose M and Uitterlinden, Andr{\'e} G and Hu, Frank B and Kalafati, Ioanna-Panagiota and Raitakari, Olli and Franco, Oscar H and Johnson, Andrew and Emilsson, Valur and Schrack, Jennifer A and Semba, Richard D and Siscovick, David S and Arnett, Donna K and Borecki, Ingrid B and Franks, Paul W and Kritchevsky, Stephen B and Lehtim{\"a}ki, Terho and Loos, Ruth J F and Orho-Melander, Marju and Rotter, Jerome I and Wareham, Nicholas J and Witteman, Jacqueline C M and Ferrucci, Luigi and Dedoussis, George and Cupples, L Adrienne and Nettleton, Jennifer A} } @article {5879, title = {Higher magnesium intake is associated with lower fasting glucose and insulin, with no evidence of interaction with select genetic loci, in a meta-analysis of 15 CHARGE Consortium Studies.}, journal = {J Nutr}, volume = {143}, year = {2013}, month = {2013 Mar}, pages = {345-53}, abstract = {

Favorable associations between magnesium intake and glycemic traits, such as fasting glucose and insulin, are observed in observational and clinical studies, but whether genetic variation affects these associations is largely unknown. We hypothesized that single nucleotide polymorphisms (SNPs) associated with either glycemic traits or magnesium metabolism affect the association between magnesium intake and fasting glucose and insulin. Fifteen studies from the CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology) Consortium provided data from up to 52,684 participants of European descent without known diabetes. In fixed-effects meta-analyses, we quantified 1) cross-sectional associations of dietary magnesium intake with fasting glucose (mmol/L) and insulin (ln-pmol/L) and 2) interactions between magnesium intake and SNPs related to fasting glucose (16 SNPs), insulin (2 SNPs), or magnesium (8 SNPs) on fasting glucose and insulin. After adjustment for age, sex, energy intake, BMI, and behavioral risk factors, magnesium (per 50-mg/d increment) was inversely associated with fasting glucose [β = -0.009 mmol/L (95\% CI: -0.013, -0.005), P < 0.0001] and insulin [-0.020 ln-pmol/L (95\% CI: -0.024, -0.017), P < 0.0001]. No magnesium-related SNP or interaction between any SNP and magnesium reached significance after correction for multiple testing. However, rs2274924 in magnesium transporter-encoding TRPM6 showed a nominal association (uncorrected P = 0.03) with glucose, and rs11558471 in SLC30A8 and rs3740393 near CNNM2 showed a nominal interaction (uncorrected, both P = 0.02) with magnesium on glucose. Consistent with other studies, a higher magnesium intake was associated with lower fasting glucose and insulin. Nominal evidence of TRPM6 influence and magnesium interaction with select loci suggests that further investigation is warranted.

}, keywords = {Blood Glucose, Female, Genetic Loci, Humans, Insulin, Magnesium, Male, Polymorphism, Single Nucleotide, Trace Elements, TRPM Cation Channels}, issn = {1541-6100}, doi = {10.3945/jn.112.172049}, author = {Hruby, Adela and Ngwa, Julius S and Renstrom, Frida and Wojczynski, Mary K and Ganna, Andrea and Hallmans, G{\"o}ran and Houston, Denise K and Jacques, Paul F and Kanoni, Stavroula and Lehtim{\"a}ki, Terho and Lemaitre, Rozenn N and Manichaikul, Ani and North, Kari E and Ntalla, Ioanna and Sonestedt, Emily and Tanaka, Toshiko and van Rooij, Frank J A and Bandinelli, Stefania and Djouss{\'e}, Luc and Grigoriou, Efi and Johansson, Ingegerd and Lohman, Kurt K and Pankow, James S and Raitakari, Olli T and Riserus, Ulf and Yannakoulia, Mary and Zillikens, M Carola and Hassanali, Neelam and Liu, Yongmei and Mozaffarian, Dariush and Papoutsakis, Constantina and Syv{\"a}nen, Ann-Christine and Uitterlinden, Andr{\'e} G and Viikari, Jorma and Groves, Christopher J and Hofman, Albert and Lind, Lars and McCarthy, Mark I and Mikkil{\"a}, Vera and Mukamal, Kenneth and Franco, Oscar H and Borecki, Ingrid B and Cupples, L Adrienne and Dedoussis, George V and Ferrucci, Luigi and Hu, Frank B and Ingelsson, Erik and K{\"a}h{\"o}nen, Mika and Kao, W H Linda and Kritchevsky, Stephen B and Orho-Melander, Marju and Prokopenko, Inga and Rotter, Jerome I and Siscovick, David S and Witteman, Jacqueline C M and Franks, Paul W and Meigs, James B and McKeown, Nicola M and Nettleton, Jennifer A} } @article {6938, title = {FTO genetic variants, dietary intake and body mass index: insights from 177,330 individuals.}, journal = {Hum Mol Genet}, volume = {23}, year = {2014}, month = {2014 Dec 20}, pages = {6961-72}, abstract = {

FTO is the strongest known genetic susceptibility locus for obesity. Experimental studies in animals suggest the potential roles of FTO in regulating food intake. The interactive relation among FTO variants, dietary intake and body mass index (BMI) is complex and results from previous often small-scale studies in humans are highly inconsistent. We performed large-scale analyses based on data from 177,330 adults (154 439 Whites, 5776 African Americans and 17 115 Asians) from 40 studies to examine: (i) the association between the FTO-rs9939609 variant (or a proxy single-nucleotide polymorphism) and total energy and macronutrient intake and (ii) the interaction between the FTO variant and dietary intake on BMI. The minor allele (A-allele) of the FTO-rs9939609 variant was associated with higher BMI in Whites (effect per allele = 0.34 [0.31, 0.37] kg/m(2), P = 1.9 {\texttimes} 10(-105)), and all participants (0.30 [0.30, 0.35] kg/m(2), P = 3.6 {\texttimes} 10(-107)). The BMI-increasing allele of the FTO variant showed a significant association with higher dietary protein intake (effect per allele = 0.08 [0.06, 0.10] \%, P = 2.4 {\texttimes} 10(-16)), and relative weak associations with lower total energy intake (-6.4 [-10.1, -2.6] kcal/day, P = 0.001) and lower dietary carbohydrate intake (-0.07 [-0.11, -0.02] \%, P = 0.004). The associations with protein (P = 7.5 {\texttimes} 10(-9)) and total energy (P = 0.002) were attenuated but remained significant after adjustment for BMI. We did not find significant interactions between the FTO variant and dietary intake of total energy, protein, carbohydrate or fat on BMI. Our findings suggest a positive association between the BMI-increasing allele of FTO variant and higher dietary protein intake and offer insight into potential link between FTO, dietary protein intake and adiposity.

}, keywords = {Adult, African Americans, Aged, Alleles, Asian Continental Ancestry Group, Body Mass Index, Dietary Carbohydrates, Dietary Fats, Dietary Proteins, Energy Intake, European Continental Ancestry Group, Female, Gene Frequency, Humans, Male, Middle Aged, Obesity, Polymorphism, Single Nucleotide, Proteins}, issn = {1460-2083}, doi = {10.1093/hmg/ddu411}, author = {Qi, Qibin and Kilpel{\"a}inen, Tuomas O and Downer, Mary K and Tanaka, Toshiko and Smith, Caren E and Sluijs, Ivonne and Sonestedt, Emily and Chu, Audrey Y and Renstrom, Frida and Lin, Xiaochen and {\"A}ngquist, Lars H and Huang, Jinyan and Liu, Zhonghua and Li, Yanping and Asif Ali, Muhammad and Xu, Min and Ahluwalia, Tarunveer Singh and Boer, Jolanda M A and Chen, Peng and Daimon, Makoto and Eriksson, Johan and Perola, Markus and Friedlander, Yechiel and Gao, Yu-Tang and Heppe, Denise H M and Holloway, John W and Houston, Denise K and Kanoni, Stavroula and Kim, Yu-Mi and Laaksonen, Maarit A and J{\"a}{\"a}skel{\"a}inen, Tiina and Lee, Nanette R and Lehtim{\"a}ki, Terho and Lemaitre, Rozenn N and Lu, Wei and Luben, Robert N and Manichaikul, Ani and M{\"a}nnist{\"o}, Satu and Marques-Vidal, Pedro and Monda, Keri L and Ngwa, Julius S and Perusse, Louis and van Rooij, Frank J A and Xiang, Yong-Bing and Wen, Wanqing and Wojczynski, Mary K and Zhu, Jingwen and Borecki, Ingrid B and Bouchard, Claude and Cai, Qiuyin and Cooper, Cyrus and Dedoussis, George V and Deloukas, Panos and Ferrucci, Luigi and Forouhi, Nita G and Hansen, Torben and Christiansen, Lene and Hofman, Albert and Johansson, Ingegerd and J{\o}rgensen, Torben and Karasawa, Shigeru and Khaw, Kay-Tee and Kim, Mi-Kyung and Kristiansson, Kati and Li, Huaixing and Lin, Xu and Liu, Yongmei and Lohman, Kurt K and Long, Jirong and Mikkil{\"a}, Vera and Mozaffarian, Dariush and North, Kari and Pedersen, Oluf and Raitakari, Olli and Rissanen, Harri and Tuomilehto, Jaakko and van der Schouw, Yvonne T and Uitterlinden, Andr{\'e} G and Zillikens, M Carola and Franco, Oscar H and Shyong Tai, E and Ou Shu, Xiao and Siscovick, David S and Toft, Ulla and Verschuren, W M Monique and Vollenweider, Peter and Wareham, Nicholas J and Witteman, Jacqueline C M and Zheng, Wei and Ridker, Paul M and Kang, Jae H and Liang, Liming and Jensen, Majken K and Curhan, Gary C and Pasquale, Louis R and Hunter, David J and Mohlke, Karen L and Uusitupa, Matti and Cupples, L Adrienne and Rankinen, Tuomo and Orho-Melander, Marju and Wang, Tao and Chasman, Daniel I and Franks, Paul W and S{\o}rensen, Thorkild I A and Hu, Frank B and Loos, Ruth J F and Nettleton, Jennifer A and Qi, Lu} } @article {6573, title = {Trans-ethnic meta-analysis of white blood cell phenotypes.}, journal = {Hum Mol Genet}, volume = {23}, year = {2014}, month = {2014 Dec 20}, pages = {6944-60}, abstract = {

White blood cell (WBC) count is a common clinical measure used as a predictor of certain aspects of human health, including immunity and infection status. WBC count is also a complex trait that varies among individuals and ancestry groups. Differences in linkage disequilibrium structure and heterogeneity in allelic effects are expected to play a role in the associations observed between populations. Prior genome-wide association study (GWAS) meta-analyses have identified genomic loci associated with WBC and its subtypes, but much of the heritability of these phenotypes remains unexplained. Using GWAS summary statistics for over 50 000 individuals from three diverse populations (Japanese, African-American and European ancestry), a Bayesian model methodology was employed to account for heterogeneity between ancestry groups. This approach was used to perform a trans-ethnic meta-analysis of total WBC, neutrophil and monocyte counts. Ten previously known associations were replicated and six new loci were identified, including several regions harboring genes related to inflammation and immune cell function. Ninety-five percent credible interval regions were calculated to narrow the association signals and fine-map the putatively causal variants within loci. Finally, a conditional analysis was performed on the most significant SNPs identified by the trans-ethnic meta-analysis (MA), and nine secondary signals within loci previously associated with WBC or its subtypes were identified. This work illustrates the potential of trans-ethnic analysis and ascribes a critical role to multi-ethnic cohorts and consortia in exploring complex phenotypes with respect to variants that lie outside the European-biased GWAS pool.

}, keywords = {African Americans, Asian Continental Ancestry Group, Bayes Theorem, European Continental Ancestry Group, Genome, Human, Genome-Wide Association Study, Genotype, Humans, Leukocyte Count, Leukocytes, Linkage Disequilibrium, Phenotype, Polymorphism, Single Nucleotide, Quantitative Trait Loci}, issn = {1460-2083}, doi = {10.1093/hmg/ddu401}, author = {Keller, Margaux F and Reiner, Alexander P and Okada, Yukinori and van Rooij, Frank J A and Johnson, Andrew D and Chen, Ming-Huei and Smith, Albert V and Morris, Andrew P and Tanaka, Toshiko and Ferrucci, Luigi and Zonderman, Alan B and Lettre, Guillaume and Harris, Tamara and Garcia, Melissa and Bandinelli, Stefania and Qayyum, Rehan and Yanek, Lisa R and Becker, Diane M and Becker, Lewis C and Kooperberg, Charles and Keating, Brendan and Reis, Jared and Tang, Hua and Boerwinkle, Eric and Kamatani, Yoichiro and Matsuda, Koichi and Kamatani, Naoyuki and Nakamura, Yusuke and Kubo, Michiaki and Liu, Simin and Dehghan, Abbas and Felix, Janine F and Hofman, Albert and Uitterlinden, Andr{\'e} G and van Duijn, Cornelia M and Franco, Oscar H and Longo, Dan L and Singleton, Andrew B and Psaty, Bruce M and Evans, Michelle K and Cupples, L Adrienne and Rotter, Jerome I and O{\textquoteright}Donnell, Christopher J and Takahashi, Atsushi and Wilson, James G and Ganesh, Santhi K and Nalls, Mike A} } @article {6844, title = {Consumption of meat is associated with higher fasting glucose and insulin concentrations regardless of glucose and insulin genetic risk scores: a meta-analysis of 50,345 Caucasians.}, journal = {Am J Clin Nutr}, volume = {102}, year = {2015}, month = {2015 Nov}, pages = {1266-78}, abstract = {

BACKGROUND: Recent studies suggest that meat intake is associated with diabetes-related phenotypes. However, whether the associations of meat intake and glucose and insulin homeostasis are modified by genes related to glucose and insulin is unknown.

OBJECTIVE: We investigated the associations of meat intake and the interaction of meat with genotype on fasting glucose and insulin concentrations in Caucasians free of diabetes mellitus.

DESIGN: Fourteen studies that are part of the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium participated in the analysis. Data were provided for up to 50,345 participants. Using linear regression within studies and a fixed-effects meta-analysis across studies, we examined 1) the associations of processed meat and unprocessed red meat intake with fasting glucose and insulin concentrations; and 2) the interactions of processed meat and unprocessed red meat with genetic risk score related to fasting glucose or insulin resistance on fasting glucose and insulin concentrations.

RESULTS: Processed meat was associated with higher fasting glucose, and unprocessed red meat was associated with both higher fasting glucose and fasting insulin concentrations after adjustment for potential confounders [not including body mass index (BMI)]. For every additional 50-g serving of processed meat per day, fasting glucose was 0.021 mmol/L (95\% CI: 0.011, 0.030 mmol/L) higher. Every additional 100-g serving of unprocessed red meat per day was associated with a 0.037-mmol/L (95\% CI: 0.023, 0.051-mmol/L) higher fasting glucose concentration and a 0.049-ln-pmol/L (95\% CI: 0.035, 0.063-ln-pmol/L) higher fasting insulin concentration. After additional adjustment for BMI, observed associations were attenuated and no longer statistically significant. The association of processed meat and fasting insulin did not reach statistical significance after correction for multiple comparisons. Observed associations were not modified by genetic loci known to influence fasting glucose or insulin resistance.

CONCLUSION: The association of higher fasting glucose and insulin concentrations with meat consumption was not modified by an index of glucose- and insulin-related single-nucleotide polymorphisms. Six of the participating studies are registered at clinicaltrials.gov as NCT0000513 (Atherosclerosis Risk in Communities), NCT00149435 (Cardiovascular Health Study), NCT00005136 (Family Heart Study), NCT00005121 (Framingham Heart Study), NCT00083369 (Genetics of Lipid Lowering Drugs and Diet Network), and NCT00005487 (Multi-Ethnic Study of Atherosclerosis).

}, keywords = {Blood Glucose, Cohort Studies, Genetic Association Studies, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Hyperglycemia, Hyperinsulinism, Insulin, Insulin Resistance, Insulin-Secreting Cells, Meat, Meat Products, Middle Aged, Polymorphism, Single Nucleotide, Risk Factors}, issn = {1938-3207}, doi = {10.3945/ajcn.114.101238}, author = {Fretts, Amanda M and Follis, Jack L and Nettleton, Jennifer A and Lemaitre, Rozenn N and Ngwa, Julius S and Wojczynski, Mary K and Kalafati, Ioanna Panagiota and Varga, Tibor V and Frazier-Wood, Alexis C and Houston, Denise K and Lahti, Jari and Ericson, Ulrika and van den Hooven, Edith H and Mikkil{\"a}, Vera and Kiefte-de Jong, Jessica C and Mozaffarian, Dariush and Rice, Kenneth and Renstrom, Frida and North, Kari E and McKeown, Nicola M and Feitosa, Mary F and Kanoni, Stavroula and Smith, Caren E and Garcia, Melissa E and Tiainen, Anna-Maija and Sonestedt, Emily and Manichaikul, Ani and van Rooij, Frank J A and Dimitriou, Maria and Raitakari, Olli and Pankow, James S and Djouss{\'e}, Luc and Province, Michael A and Hu, Frank B and Lai, Chao-Qiang and Keller, Margaux F and Per{\"a}l{\"a}, Mia-Maria and Rotter, Jerome I and Hofman, Albert and Graff, Misa and K{\"a}h{\"o}nen, Mika and Mukamal, Kenneth and Johansson, Ingegerd and Ordovas, Jose M and Liu, Yongmei and M{\"a}nnist{\"o}, Satu and Uitterlinden, Andr{\'e} G and Deloukas, Panos and Sepp{\"a}l{\"a}, Ilkka and Psaty, Bruce M and Cupples, L Adrienne and Borecki, Ingrid B and Franks, Paul W and Arnett, Donna K and Nalls, Mike A and Eriksson, Johan G and Orho-Melander, Marju and Franco, Oscar H and Lehtim{\"a}ki, Terho and Dedoussis, George V and Meigs, James B and Siscovick, David S} } @article {6802, title = {Gene {\texttimes} dietary pattern interactions in obesity: analysis of up to 68 317 adults of European ancestry.}, journal = {Hum Mol Genet}, volume = {24}, year = {2015}, month = {2015 Aug 15}, pages = {4728-38}, abstract = {

Obesity is highly heritable. Genetic variants showing robust associations with obesity traits have been identified through genome-wide association studies. We investigated whether a composite score representing healthy diet modifies associations of these variants with obesity traits. Totally, 32 body mass index (BMI)- and 14 waist-hip ratio (WHR)-associated single nucleotide polymorphisms were genotyped, and genetic risk scores (GRS) were calculated in 18 cohorts of European ancestry (n = 68 317). Diet score was calculated based on self-reported intakes of whole grains, fish, fruits, vegetables, nuts/seeds (favorable) and red/processed meats, sweets, sugar-sweetened beverages and fried potatoes (unfavorable). Multivariable adjusted, linear regression within each cohort followed by inverse variance-weighted, fixed-effects meta-analysis was used to characterize: (a) associations of each GRS with BMI and BMI-adjusted WHR~and (b) diet score modification of genetic associations with BMI and BMI-adjusted WHR. Nominally significant interactions (P = 0.006-0.04) were observed between the diet score and WHR-GRS (but not BMI-GRS), two WHR loci (GRB14 rs10195252; LYPLAL1 rs4846567) and two BMI loci (LRRN6C rs10968576; MTIF3 rs4771122), for the respective BMI-adjusted WHR or BMI outcomes. Although the magnitudes of these select interactions were small, our data indicated that associations between genetic predisposition and obesity traits were stronger with a healthier diet. Our findings generate interesting hypotheses; however, experimental and functional studies are needed to determine their clinical relevance.

}, keywords = {Adult, Body Mass Index, Case-Control Studies, Diet, Western, Epistasis, Genetic, European Continental Ancestry Group, Female, Genetic Loci, Genome-Wide Association Study, Humans, Male, Obesity, Polymorphism, Single Nucleotide}, issn = {1460-2083}, doi = {10.1093/hmg/ddv186}, author = {Nettleton, Jennifer A and Follis, Jack L and Ngwa, Julius S and Smith, Caren E and Ahmad, Shafqat and Tanaka, Toshiko and Wojczynski, Mary K and Voortman, Trudy and Lemaitre, Rozenn N and Kristiansson, Kati and Nuotio, Marja-Liisa and Houston, Denise K and Per{\"a}l{\"a}, Mia-Maria and Qi, Qibin and Sonestedt, Emily and Manichaikul, Ani and Kanoni, Stavroula and Ganna, Andrea and Mikkil{\"a}, Vera and North, Kari E and Siscovick, David S and Harald, Kennet and McKeown, Nicola M and Johansson, Ingegerd and Rissanen, Harri and Liu, Yongmei and Lahti, Jari and Hu, Frank B and Bandinelli, Stefania and Rukh, Gull and Rich, Stephen and Booij, Lisanne and Dmitriou, Maria and Ax, Erika and Raitakari, Olli and Mukamal, Kenneth and M{\"a}nnist{\"o}, Satu and Hallmans, G{\"o}ran and Jula, Antti and Ericson, Ulrika and Jacobs, David R and van Rooij, Frank J A and Deloukas, Panos and Sjogren, Per and K{\"a}h{\"o}nen, Mika and Djouss{\'e}, Luc and Perola, Markus and Barroso, In{\^e}s and Hofman, Albert and Stirrups, Kathleen and Viikari, Jorma and Uitterlinden, Andr{\'e} G and Kalafati, Ioanna P and Franco, Oscar H and Mozaffarian, Dariush and Salomaa, Veikko and Borecki, Ingrid B and Knekt, Paul and Kritchevsky, Stephen B and Eriksson, Johan G and Dedoussis, George V and Qi, Lu and Ferrucci, Luigi and Orho-Melander, Marju and Zillikens, M Carola and Ingelsson, Erik and Lehtim{\"a}ki, Terho and Renstrom, Frida and Cupples, L Adrienne and Loos, Ruth J F and Franks, Paul W} } @article {7138, title = {Exome Genotyping Identifies Pleiotropic Variants Associated with Red Blood Cell Traits.}, journal = {Am J Hum Genet}, volume = {99}, year = {2016}, month = {2016 Jul 7}, pages = {8-21}, abstract = {

Red blood cell (RBC) traits are important heritable clinical biomarkers and modifiers of disease severity. To identify coding genetic variants associated with these traits, we conducted meta-analyses of seven RBC phenotypes in 130,273 multi-ethnic individuals from~studies genotyped on an exome array. After conditional analyses and replication in 27,480 independent individuals, we identified 16 new RBC variants. We found low-frequency missense variants in MAP1A (rs55707100, minor allele frequency [MAF] = 3.3\%, p = 2~{\texttimes}~10(-10) for hemoglobin [HGB]) and HNF4A (rs1800961, MAF = 2.4\%, p < 3~{\texttimes} 10(-8) for hematocrit [HCT] and HGB). In African Americans, we identified a nonsense variant in CD36 associated with higher RBC distribution width (rs3211938, MAF = 8.7\%, p = 7~{\texttimes} 10(-11)) and showed that it is associated with lower CD36 expression and strong allelic imbalance in ex~vivo differentiated human erythroblasts. We also identified a rare missense variant in ALAS2 (rs201062903, MAF = 0.2\%) associated with lower mean corpuscular volume and mean corpuscular hemoglobin (p < 8~{\texttimes} 10(-9)). Mendelian mutations in ALAS2 are a cause of sideroblastic anemia and erythropoietic protoporphyria. Gene-based testing highlighted three rare missense variants in PKLR, a gene mutated in Mendelian non-spherocytic hemolytic anemia, associated with HGB and HCT (SKAT p < 8~{\texttimes} 10(-7)). These rare, low-frequency, and common RBC variants showed pleiotropy, being also associated with platelet, white blood cell, and lipid traits. Our association results and functional annotation suggest the involvement of new genes in human erythropoiesis. We also confirm that rare and low-frequency variants play a role in the architecture of complex human traits, although their phenotypic effect is generally smaller than originally anticipated.

}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2016.05.007}, author = {Chami, Nathalie and Chen, Ming-Huei and Slater, Andrew J and Eicher, John D and Evangelou, Evangelos and Tajuddin, Salman M and Love-Gregory, Latisha and Kacprowski, Tim and Schick, Ursula M and Nomura, Akihiro and Giri, Ayush and Lessard, Samuel and Brody, Jennifer A and Schurmann, Claudia and Pankratz, Nathan and Yanek, Lisa R and Manichaikul, Ani and Pazoki, Raha and Mihailov, Evelin and Hill, W David and Raffield, Laura M and Burt, Amber and Bartz, Traci M and Becker, Diane M and Becker, Lewis C and Boerwinkle, Eric and Bork-Jensen, Jette and Bottinger, Erwin P and O{\textquoteright}Donoghue, Michelle L and Crosslin, David R and de Denus, Simon and Dub{\'e}, Marie-Pierre and Elliott, Paul and Engstr{\"o}m, Gunnar and Evans, Michele K and Floyd, James S and Fornage, Myriam and Gao, He and Greinacher, Andreas and Gudnason, Vilmundur and Hansen, Torben and Harris, Tamara B and Hayward, Caroline and Hernesniemi, Jussi and Highland, Heather M and Hirschhorn, Joel N and Hofman, Albert and Irvin, Marguerite R and K{\"a}h{\"o}nen, Mika and Lange, Ethan and Launer, Lenore J and Lehtim{\"a}ki, Terho and Li, Jin and Liewald, David C M and Linneberg, Allan and Liu, Yongmei and Lu, Yingchang and Lyytik{\"a}inen, Leo-Pekka and M{\"a}gi, Reedik and Mathias, Rasika A and Melander, Olle and Metspalu, Andres and Mononen, Nina and Nalls, Mike A and Nickerson, Deborah A and Nikus, Kjell and O{\textquoteright}Donnell, Chris J and Orho-Melander, Marju and Pedersen, Oluf and Petersmann, Astrid and Polfus, Linda and Psaty, Bruce M and Raitakari, Olli T and Raitoharju, Emma and Richard, Melissa and Rice, Kenneth M and Rivadeneira, Fernando and Rotter, Jerome I and Schmidt, Frank and Smith, Albert Vernon and Starr, John M and Taylor, Kent D and Teumer, Alexander and Thuesen, Betina H and Torstenson, Eric S and Tracy, Russell P and Tzoulaki, Ioanna and Zakai, Neil A and Vacchi-Suzzi, Caterina and van Duijn, Cornelia M and van Rooij, Frank J A and Cushman, Mary and Deary, Ian J and Velez Edwards, Digna R and Vergnaud, Anne-Claire and Wallentin, Lars and Waterworth, Dawn M and White, Harvey D and Wilson, James G and Zonderman, Alan B and Kathiresan, Sekar and Grarup, Niels and Esko, T{\~o}nu and Loos, Ruth J F and Lange, Leslie A and Faraday, Nauder and Abumrad, Nada A and Edwards, Todd L and Ganesh, Santhi K and Auer, Paul L and Johnson, Andrew D and Reiner, Alexander P and Lettre, Guillaume} } @article {7146, title = {Large-Scale Exome-wide Association Analysis Identifies Loci for White Blood Cell Traits and Pleiotropy with Immune-Mediated Diseases.}, journal = {Am J Hum Genet}, volume = {99}, year = {2016}, month = {2016 Jul 7}, pages = {22-39}, abstract = {

White blood cells play diverse roles in innate and adaptive immunity. Genetic association analyses of phenotypic variation in circulating white blood cell (WBC) counts from large samples of otherwise healthy individuals can provide insights into genes and biologic pathways involved in production, differentiation, or clearance of particular WBC lineages (myeloid, lymphoid) and also potentially inform the genetic basis of autoimmune, allergic, and blood diseases. We performed an exome array-based meta-analysis of total WBC and subtype counts (neutrophils, monocytes, lymphocytes, basophils, and eosinophils) in a multi-ancestry discovery and replication sample of~\~{}157,622 individuals from 25 studies. We identified 16 common variants (8 of which were coding variants) associated with one or more WBC traits, the majority of which are pleiotropically associated with autoimmune diseases. Based on functional annotation, these loci included genes encoding surface markers of myeloid, lymphoid, or hematopoietic stem cell differentiation (CD69, CD33, CD87), transcription factors regulating lineage specification during hematopoiesis (ASXL1, IRF8, IKZF1, JMJD1C, ETS2-PSMG1), and molecules involved in neutrophil clearance/apoptosis (C10orf54, LTA), adhesion (TNXB), or centrosome and microtubule structure/function (KIF9, TUBD1). Together with recent reports of somatic ASXL1 mutations among individuals with idiopathic cytopenias or clonal hematopoiesis of undetermined significance, the identification of a common regulatory 3{\textquoteright} UTR variant of ASXL1 suggests that both germline and somatic ASXL1 mutations contribute to lower blood counts in otherwise asymptomatic individuals. These association results shed light on genetic mechanisms that regulate circulating WBC counts and suggest a prominent shared genetic architecture with inflammatory and autoimmune diseases.

}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2016.05.003}, author = {Tajuddin, Salman M and Schick, Ursula M and Eicher, John D and Chami, Nathalie and Giri, Ayush and Brody, Jennifer A and Hill, W David and Kacprowski, Tim and Li, Jin and Lyytik{\"a}inen, Leo-Pekka and Manichaikul, Ani and Mihailov, Evelin and O{\textquoteright}Donoghue, Michelle L and Pankratz, Nathan and Pazoki, Raha and Polfus, Linda M and Smith, Albert Vernon and Schurmann, Claudia and Vacchi-Suzzi, Caterina and Waterworth, Dawn M and Evangelou, Evangelos and Yanek, Lisa R and Burt, Amber and Chen, Ming-Huei and van Rooij, Frank J A and Floyd, James S and Greinacher, Andreas and Harris, Tamara B and Highland, Heather M and Lange, Leslie A and Liu, Yongmei and M{\"a}gi, Reedik and Nalls, Mike A and Mathias, Rasika A and Nickerson, Deborah A and Nikus, Kjell and Starr, John M and Tardif, Jean-Claude and Tzoulaki, Ioanna and Velez Edwards, Digna R and Wallentin, Lars and Bartz, Traci M and Becker, Lewis C and Denny, Joshua C and Raffield, Laura M and Rioux, John D and Friedrich, Nele and Fornage, Myriam and Gao, He and Hirschhorn, Joel N and Liewald, David C M and Rich, Stephen S and Uitterlinden, Andre and Bastarache, Lisa and Becker, Diane M and Boerwinkle, Eric and de Denus, Simon and Bottinger, Erwin P and Hayward, Caroline and Hofman, Albert and Homuth, Georg and Lange, Ethan and Launer, Lenore J and Lehtim{\"a}ki, Terho and Lu, Yingchang and Metspalu, Andres and O{\textquoteright}Donnell, Chris J and Quarells, Rakale C and Richard, Melissa and Torstenson, Eric S and Taylor, Kent D and Vergnaud, Anne-Claire and Zonderman, Alan B and Crosslin, David R and Deary, Ian J and D{\"o}rr, Marcus and Elliott, Paul and Evans, Michele K and Gudnason, Vilmundur and K{\"a}h{\"o}nen, Mika and Psaty, Bruce M and Rotter, Jerome I and Slater, Andrew J and Dehghan, Abbas and White, Harvey D and Ganesh, Santhi K and Loos, Ruth J F and Esko, T{\~o}nu and Faraday, Nauder and Wilson, James G and Cushman, Mary and Johnson, Andrew D and Edwards, Todd L and Zakai, Neil A and Lettre, Guillaume and Reiner, Alex P and Auer, Paul L} } @article {7139, title = {Platelet-Related Variants Identified by Exomechip Meta-analysis in 157,293 Individuals.}, journal = {Am J Hum Genet}, volume = {99}, year = {2016}, month = {2016 Jul 7}, pages = {40-55}, abstract = {

Platelet production, maintenance, and clearance are tightly controlled processes indicative of platelets{\textquoteright} important roles in hemostasis and thrombosis. Platelets are common targets for primary and secondary prevention of several conditions. They are monitored clinically by complete blood counts, specifically with measurements of platelet count (PLT) and mean platelet volume (MPV). Identifying genetic effects on PLT and MPV can provide mechanistic insights into platelet biology and their role in disease. Therefore, we formed the Blood Cell Consortium (BCX) to perform a large-scale meta-analysis of Exomechip association results for PLT and MPV in 157,293 and 57,617 individuals, respectively. Using the low-frequency/rare coding variant-enriched Exomechip genotyping array, we sought to identify genetic variants associated with PLT and MPV. In addition to confirming 47 known PLT and 20 known MPV associations, we identified 32 PLT and 18 MPV associations not previously observed in the literature across the allele frequency spectrum, including rare large effect (FCER1A), low-frequency (IQGAP2, MAP1A, LY75), and common (ZMIZ2, SMG6, PEAR1, ARFGAP3/PACSIN2) variants. Several variants associated with PLT/MPV (PEAR1, MRVI1, PTGES3) were also associated with platelet reactivity. In concurrent BCX analyses, there was overlap of platelet-associated variants with red (MAP1A, TMPRSS6, ZMIZ2) and white (PEAR1, ZMIZ2, LY75) blood cell traits, suggesting common regulatory pathways with shared genetic architecture among these hematopoietic lineages. Our large-scale Exomechip analyses identified previously undocumented associations with platelet traits and further indicate that several complex quantitative hematological, lipid, and cardiovascular traits share genetic factors.

}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2016.05.005}, author = {Eicher, John D and Chami, Nathalie and Kacprowski, Tim and Nomura, Akihiro and Chen, Ming-Huei and Yanek, Lisa R and Tajuddin, Salman M and Schick, Ursula M and Slater, Andrew J and Pankratz, Nathan and Polfus, Linda and Schurmann, Claudia and Giri, Ayush and Brody, Jennifer A and Lange, Leslie A and Manichaikul, Ani and Hill, W David and Pazoki, Raha and Elliot, Paul and Evangelou, Evangelos and Tzoulaki, Ioanna and Gao, He and Vergnaud, Anne-Claire and Mathias, Rasika A and Becker, Diane M and Becker, Lewis C and Burt, Amber and Crosslin, David R and Lyytik{\"a}inen, Leo-Pekka and Nikus, Kjell and Hernesniemi, Jussi and K{\"a}h{\"o}nen, Mika and Raitoharju, Emma and Mononen, Nina and Raitakari, Olli T and Lehtim{\"a}ki, Terho and Cushman, Mary and Zakai, Neil A and Nickerson, Deborah A and Raffield, Laura M and Quarells, Rakale and Willer, Cristen J and Peloso, Gina M and Abecasis, Goncalo R and Liu, Dajiang J and Deloukas, Panos and Samani, Nilesh J and Schunkert, Heribert and Erdmann, Jeanette and Fornage, Myriam and Richard, Melissa and Tardif, Jean-Claude and Rioux, John D and Dub{\'e}, Marie-Pierre and de Denus, Simon and Lu, Yingchang and Bottinger, Erwin P and Loos, Ruth J F and Smith, Albert Vernon and Harris, Tamara B and Launer, Lenore J and Gudnason, Vilmundur and Velez Edwards, Digna R and Torstenson, Eric S and Liu, Yongmei and Tracy, Russell P and Rotter, Jerome I and Rich, Stephen S and Highland, Heather M and Boerwinkle, Eric and Li, Jin and Lange, Ethan and Wilson, James G and Mihailov, Evelin and M{\"a}gi, Reedik and Hirschhorn, Joel and Metspalu, Andres and Esko, T{\~o}nu and Vacchi-Suzzi, Caterina and Nalls, Mike A and Zonderman, Alan B and Evans, Michele K and Engstr{\"o}m, Gunnar and Orho-Melander, Marju and Melander, Olle and O{\textquoteright}Donoghue, Michelle L and Waterworth, Dawn M and Wallentin, Lars and White, Harvey D and Floyd, James S and Bartz, Traci M and Rice, Kenneth M and Psaty, Bruce M and Starr, J M and Liewald, David C M and Hayward, Caroline and Deary, Ian J and Greinacher, Andreas and V{\"o}lker, Uwe and Thiele, Thomas and V{\"o}lzke, Henry and van Rooij, Frank J A and Uitterlinden, Andr{\'e} G and Franco, Oscar H and Dehghan, Abbas and Edwards, Todd L and Ganesh, Santhi K and Kathiresan, Sekar and Faraday, Nauder and Auer, Paul L and Reiner, Alex P and Lettre, Guillaume and Johnson, Andrew D} } @article {7263, title = {Whole-Exome Sequencing Identifies Loci Associated with Blood Cell Traits and Reveals a Role for Alternative GFI1B Splice Variants in Human Hematopoiesis.}, journal = {Am J Hum Genet}, volume = {99}, year = {2016}, month = {2016 Sep 01}, pages = {785}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2016.08.002}, author = {Polfus, Linda M and Khajuria, Rajiv K and Schick, Ursula M and Pankratz, Nathan and Pazoki, Raha and Brody, Jennifer A and Chen, Ming-Huei and Auer, Paul L and Floyd, James S and Huang, Jie and Lange, Leslie and van Rooij, Frank J A and Gibbs, Richard A and Metcalf, Ginger and Muzny, Donna and Veeraraghavan, Narayanan and Walter, Klaudia and Chen, Lu and Yanek, Lisa and Becker, Lewis C and Peloso, Gina M and Wakabayashi, Aoi and Kals, Mart and Metspalu, Andres and Esko, T{\~o}nu and Fox, Keolu and Wallace, Robert and Franceschini, Nora and Matijevic, Nena and Rice, Kenneth M and Bartz, Traci M and Lyytik{\"a}inen, Leo-Pekka and K{\"a}h{\"o}nen, Mika and Lehtim{\"a}ki, Terho and Raitakari, Olli T and Li-Gao, Ruifang and Mook-Kanamori, Dennis O and Lettre, Guillaume and van Duijn, Cornelia M and Franco, Oscar H and Rich, Stephen S and Rivadeneira, Fernando and Hofman, Albert and Uitterlinden, Andr{\'e} G and Wilson, James G and Psaty, Bruce M and Soranzo, Nicole and Dehghan, Abbas and Boerwinkle, Eric and Zhang, Xiaoling and Johnson, Andrew D and O{\textquoteright}Donnell, Christopher J and Johnsen, Jill M and Reiner, Alexander P and Ganesh, Santhi K and Sankaran, Vijay G} } @article {7578, title = {Genome-wide association meta-analysis of fish and EPA+DHA consumption in 17 US and European cohorts.}, journal = {PLoS One}, volume = {12}, year = {2017}, month = {2017}, pages = {e0186456}, abstract = {

BACKGROUND: Regular fish and omega-3 consumption may have several health benefits and are recommended by major dietary guidelines. Yet, their intakes remain remarkably variable both within and across populations, which could partly owe to genetic influences.

OBJECTIVE: To identify common genetic variants that influence fish and dietary eicosapentaenoic acid plus docosahexaenoic acid (EPA+DHA) consumption.

DESIGN: We conducted genome-wide association (GWA) meta-analysis of fish (n = 86,467) and EPA+DHA (n = 62,265) consumption in 17 cohorts of European descent from the CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology) Consortium Nutrition Working Group. Results from cohort-specific GWA analyses (additive model) for fish and EPA+DHA consumption were adjusted for age, sex, energy intake, and population stratification, and meta-analyzed separately using fixed-effect meta-analysis with inverse variance weights (METAL software). Additionally, heritability was estimated in 2 cohorts.

RESULTS: Heritability estimates for fish and EPA+DHA consumption ranged from 0.13-0.24 and 0.12-0.22, respectively. A significant GWA for fish intake was observed for rs9502823 on chromosome 6: each copy of the minor allele (FreqA = 0.015) was associated with 0.029 servings/day (~1 serving/month) lower fish consumption (P = 1.96x10-8). No significant association was observed for EPA+DHA, although rs7206790 in the obesity-associated FTO gene was among top hits (P = 8.18x10-7). Post-hoc calculations demonstrated 95\% statistical power to detect a genetic variant associated with effect size of 0.05\% for fish and 0.08\% for EPA+DHA.

CONCLUSIONS: These novel findings suggest that non-genetic personal and environmental factors are principal determinants of the remarkable variation in fish consumption, representing modifiable targets for increasing intakes among all individuals. Genes underlying the signal at rs72838923 and mechanisms for the association warrant further investigation.

}, keywords = {Adult, Aged, Cohort Studies, Docosahexaenoic Acids, Eicosapentaenoic Acid, Europe, European Continental Ancestry Group, Female, Genome-Wide Association Study, Humans, Male, Middle Aged, Seafood, United States}, issn = {1932-6203}, doi = {10.1371/journal.pone.0186456}, author = {Mozaffarian, Dariush and Dashti, Hassan S and Wojczynski, Mary K and Chu, Audrey Y and Nettleton, Jennifer A and M{\"a}nnist{\"o}, Satu and Kristiansson, Kati and Reedik, M{\"a}gi and Lahti, Jari and Houston, Denise K and Cornelis, Marilyn C and van Rooij, Frank J A and Dimitriou, Maria and Kanoni, Stavroula and Mikkil{\"a}, Vera and Steffen, Lyn M and de Oliveira Otto, Marcia C and Qi, Lu and Psaty, Bruce and Djouss{\'e}, Luc and Rotter, Jerome I and Harald, Kennet and Perola, Markus and Rissanen, Harri and Jula, Antti and Krista, Fischer and Mihailov, Evelin and Feitosa, Mary F and Ngwa, Julius S and Xue, Luting and Jacques, Paul F and Per{\"a}l{\"a}, Mia-Maria and Palotie, Aarno and Liu, Yongmei and Nalls, Nike A and Ferrucci, Luigi and Hernandez, Dena and Manichaikul, Ani and Tsai, Michael Y and Kiefte-de Jong, Jessica C and Hofman, Albert and Uitterlinden, Andr{\'e} G and Rallidis, Loukianos and Ridker, Paul M and Rose, Lynda M and Buring, Julie E and Lehtim{\"a}ki, Terho and K{\"a}h{\"o}nen, Mika and Viikari, Jorma and Lemaitre, Rozenn and Salomaa, Veikko and Knekt, Paul and Metspalu, Andres and Borecki, Ingrid B and Cupples, L Adrienne and Eriksson, Johan G and Kritchevsky, Stephen B and Bandinelli, Stefania and Siscovick, David and Franco, Oscar H and Deloukas, Panos and Dedoussis, George and Chasman, Daniel I and Raitakari, Olli and Tanaka, Toshiko} } @article {7568, title = {Genome-wide meta-analysis associates HLA-DQA1/DRB1 and LPA and lifestyle factors with human longevity.}, journal = {Nat Commun}, volume = {8}, year = {2017}, month = {2017 Oct 13}, pages = {910}, abstract = {

Genomic analysis of longevity offers the potential to illuminate the biology of human aging. Here, using genome-wide association meta-analysis of 606,059 parents{\textquoteright} survival, we discover two regions associated with longevity (HLA-DQA1/DRB1 and LPA). We also validate previous suggestions that APOE, CHRNA3/5, CDKN2A/B, SH2B3 and FOXO3A influence longevity. Next we show that giving up smoking, educational attainment, openness to new experience and high-density lipoprotein (HDL) cholesterol levels are most positively genetically correlated with lifespan while susceptibility to coronary artery disease (CAD), cigarettes smoked per day, lung cancer, insulin resistance and body fat are most negatively correlated. We suggest that the effect of education on lifespan is principally mediated through smoking while the effect of obesity appears to act via CAD. Using instrumental variables, we suggest that an increase of one body mass index unit reduces lifespan by 7 months while 1 year of education adds 11 months to expected lifespan.Variability in human longevity is genetically influenced. Using genetic data of parental lifespan, the authors identify associations at HLA-DQA/DRB1 and LPA and find that genetic variants that increase educational attainment have a positive effect on lifespan whereas increasing BMI negatively affects lifespan.

}, issn = {2041-1723}, doi = {10.1038/s41467-017-00934-5}, author = {Joshi, Peter K and Pirastu, Nicola and Kentistou, Katherine A and Fischer, Krista and Hofer, Edith and Schraut, Katharina E and Clark, David W and Nutile, Teresa and Barnes, Catriona L K and Timmers, Paul R H J and Shen, Xia and Gandin, Ilaria and McDaid, Aaron F and Hansen, Thomas Folkmann and Gordon, Scott D and Giulianini, Franco and Boutin, Thibaud S and Abdellaoui, Abdel and Zhao, Wei and Medina-G{\'o}mez, Carolina and Bartz, Traci M and Trompet, Stella and Lange, Leslie A and Raffield, Laura and van der Spek, Ashley and Galesloot, Tessel E and Proitsi, Petroula and Yanek, Lisa R and Bielak, Lawrence F and Payton, Antony and Murgia, Federico and Concas, Maria Pina and Biino, Ginevra and Tajuddin, Salman M and Sepp{\"a}l{\"a}, Ilkka and Amin, Najaf and Boerwinkle, Eric and B{\o}rglum, Anders D and Campbell, Archie and Demerath, Ellen W and Demuth, Ilja and Faul, Jessica D and Ford, Ian and Gialluisi, Alessandro and G{\"o}gele, Martin and Graff, Mariaelisa and Hingorani, Aroon and Hottenga, Jouke-Jan and Hougaard, David M and Hurme, Mikko A and Ikram, M Arfan and Jylh{\"a}, Marja and Kuh, Diana and Ligthart, Lannie and Lill, Christina M and Lindenberger, Ulman and Lumley, Thomas and M{\"a}gi, Reedik and Marques-Vidal, Pedro and Medland, Sarah E and Milani, Lili and Nagy, Reka and Ollier, William E R and Peyser, Patricia A and Pramstaller, Peter P and Ridker, Paul M and Rivadeneira, Fernando and Ruggiero, Daniela and Saba, Yasaman and Schmidt, Reinhold and Schmidt, Helena and Slagboom, P Eline and Smith, Blair H and Smith, Jennifer A and Sotoodehnia, Nona and Steinhagen-Thiessen, Elisabeth and van Rooij, Frank J A and Verbeek, Andr{\'e} L and Vermeulen, Sita H and Vollenweider, Peter and Wang, Yunpeng and Werge, Thomas and Whitfield, John B and Zonderman, Alan B and Lehtim{\"a}ki, Terho and Evans, Michele K and Pirastu, Mario and Fuchsberger, Christian and Bertram, Lars and Pendleton, Neil and Kardia, Sharon L R and Ciullo, Marina and Becker, Diane M and Wong, Andrew and Psaty, Bruce M and van Duijn, Cornelia M and Wilson, James G and Jukema, J Wouter and Kiemeney, Lambertus and Uitterlinden, Andr{\'e} G and Franceschini, Nora and North, Kari E and Weir, David R and Metspalu, Andres and Boomsma, Dorret I and Hayward, Caroline and Chasman, Daniel and Martin, Nicholas G and Sattar, Naveed and Campbell, Harry and Esko, T{\~o}nu and Kutalik, Zolt{\'a}n and Wilson, James F} } @article {7364, title = {Genome-wide Trans-ethnic Meta-analysis Identifies Seven Genetic Loci Influencing Erythrocyte Traits and a Role for RBPMS in Erythropoiesis.}, journal = {Am J Hum Genet}, volume = {100}, year = {2017}, month = {2017 Jan 05}, pages = {51-63}, abstract = {

Genome-wide association studies (GWASs) have identified loci for erythrocyte traits in primarily European ancestry populations. We conducted GWAS meta-analyses of six erythrocyte traits in 71,638 individuals from European, East Asian, and African ancestries using a Bayesian approach to account for heterogeneity in allelic effects and variation in the structure of linkage disequilibrium between ethnicities. We identified seven loci for erythrocyte traits including a locus (RBPMS/GTF2E2) associated with mean corpuscular hemoglobin and mean corpuscular volume. Statistical fine-mapping at this locus pointed to RBPMS at this locus and excluded nearby GTF2E2. Using zebrafish morpholino to evaluate loss of function, we observed a strong in~vivo erythropoietic effect for RBPMS but not for GTF2E2, supporting the statistical fine-mapping at this locus and demonstrating that RBPMS is a regulator of erythropoiesis. Our findings show the utility of trans-ethnic GWASs for discovery and characterization of genetic loci influencing hematologic traits.

}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2016.11.016}, author = {van Rooij, Frank J A and Qayyum, Rehan and Smith, Albert V and Zhou, Yi and Trompet, Stella and Tanaka, Toshiko and Keller, Margaux F and Chang, Li-Ching and Schmidt, Helena and Yang, Min-Lee and Chen, Ming-Huei and Hayes, James and Johnson, Andrew D and Yanek, Lisa R and Mueller, Christian and Lange, Leslie and Floyd, James S and Ghanbari, Mohsen and Zonderman, Alan B and Jukema, J Wouter and Hofman, Albert and van Duijn, Cornelia M and Desch, Karl C and Saba, Yasaman and Ozel, Ayse B and Snively, Beverly M and Wu, Jer-Yuarn and Schmidt, Reinhold and Fornage, Myriam and Klein, Robert J and Fox, Caroline S and Matsuda, Koichi and Kamatani, Naoyuki and Wild, Philipp S and Stott, David J and Ford, Ian and Slagboom, P Eline and Yang, Jaden and Chu, Audrey Y and Lambert, Amy J and Uitterlinden, Andr{\'e} G and Franco, Oscar H and Hofer, Edith and Ginsburg, David and Hu, Bella and Keating, Brendan and Schick, Ursula M and Brody, Jennifer A and Li, Jun Z and Chen, Zhao and Zeller, Tanja and Guralnik, Jack M and Chasman, Daniel I and Peters, Luanne L and Kubo, Michiaki and Becker, Diane M and Li, Jin and Eiriksdottir, Gudny and Rotter, Jerome I and Levy, Daniel and Grossmann, Vera and Patel, Kushang V and Chen, Chien-Hsiun and Ridker, Paul M and Tang, Hua and Launer, Lenore J and Rice, Kenneth M and Li-Gao, Ruifang and Ferrucci, Luigi and Evans, Michelle K and Choudhuri, Avik and Trompouki, Eirini and Abraham, Brian J and Yang, Song and Takahashi, Atsushi and Kamatani, Yoichiro and Kooperberg, Charles and Harris, Tamara B and Jee, Sun Ha and Coresh, Josef and Tsai, Fuu-Jen and Longo, Dan L and Chen, Yuan-Tsong and Felix, Janine F and Yang, Qiong and Psaty, Bruce M and Boerwinkle, Eric and Becker, Lewis C and Mook-Kanamori, Dennis O and Wilson, James G and Gudnason, Vilmundur and O{\textquoteright}Donnell, Christopher J and Dehghan, Abbas and Cupples, L Adrienne and Nalls, Michael A and Morris, Andrew P and Okada, Yukinori and Reiner, Alexander P and Zon, Leonard I and Ganesh, Santhi K} } @article {8198, title = {Associations of autozygosity with a broad range of human phenotypes.}, journal = {Nat Commun}, volume = {10}, year = {2019}, month = {2019 Oct 31}, pages = {4957}, abstract = {

In many species, the offspring of related parents suffer reduced reproductive success, a phenomenon known as inbreeding depression. In humans, the importance of this effect has remained unclear, partly because reproduction between close relatives is both rare and frequently associated with confounding social factors. Here, using genomic inbreeding coefficients (F) for >1.4 million individuals, we show that F is significantly associated (p < 0.0005) with apparently deleterious changes in 32 out of 100 traits analysed. These changes are associated with runs of homozygosity (ROH), but not with common variant homozygosity, suggesting that genetic variants associated with inbreeding depression are predominantly rare. The effect on fertility is striking: F equivalent to the offspring of first cousins is associated with a 55\% decrease [95\% CI 44-66\%] in the odds of having children. Finally, the effects of F are confirmed within full-sibling pairs, where the variation in F is independent of all environmental confounding.

}, issn = {2041-1723}, doi = {10.1038/s41467-019-12283-6}, author = {Clark, David W and Okada, Yukinori and Moore, Kristjan H S and Mason, Dan and Pirastu, Nicola and Gandin, Ilaria and Mattsson, Hannele and Barnes, Catriona L K and Lin, Kuang and Zhao, Jing Hua and Deelen, Patrick and Rohde, Rebecca and Schurmann, Claudia and Guo, Xiuqing and Giulianini, Franco and Zhang, Weihua and Medina-G{\'o}mez, Carolina and Karlsson, Robert and Bao, Yanchun and Bartz, Traci M and Baumbach, Clemens and Biino, Ginevra and Bixley, Matthew J and Brumat, Marco and Chai, Jin-Fang and Corre, Tanguy and Cousminer, Diana L and Dekker, Annelot M and Eccles, David A and van Eijk, Kristel R and Fuchsberger, Christian and Gao, He and Germain, Marine and Gordon, Scott D and de Haan, Hugoline G and Harris, Sarah E and Hofer, Edith and Huerta-Chagoya, Alicia and Igartua, Catherine and Jansen, Iris E and Jia, Yucheng and Kacprowski, Tim and Karlsson, Torgny and Kleber, Marcus E and Li, Shengchao Alfred and Li-Gao, Ruifang and Mahajan, Anubha and Matsuda, Koichi and Meidtner, Karina and Meng, Weihua and Montasser, May E and van der Most, Peter J and Munz, Matthias and Nutile, Teresa and Palviainen, Teemu and Prasad, Gauri and Prasad, Rashmi B and Priyanka, Tallapragada Divya Sri and Rizzi, Federica and Salvi, Erika and Sapkota, Bishwa R and Shriner, Daniel and Skotte, Line and Smart, Melissa C and Smith, Albert Vernon and van der Spek, Ashley and Spracklen, Cassandra N and Strawbridge, Rona J and Tajuddin, Salman M and Trompet, Stella and Turman, Constance and Verweij, Niek and Viberti, Clara and Wang, Lihua and Warren, Helen R and Wootton, Robyn E and Yanek, Lisa R and Yao, Jie and Yousri, Noha A and Zhao, Wei and Adeyemo, Adebowale A and Afaq, Saima and Aguilar-Salinas, Carlos Alberto and Akiyama, Masato and Albert, Matthew L and Allison, Matthew A and Alver, Maris and Aung, Tin and Azizi, Fereidoun and Bentley, Amy R and Boeing, Heiner and Boerwinkle, Eric and Borja, Judith B and de Borst, Gert J and Bottinger, Erwin P and Broer, Linda and Campbell, Harry and Chanock, Stephen and Chee, Miao-Li and Chen, Guanjie and Chen, Yii-der I and Chen, Zhengming and Chiu, Yen-Feng and Cocca, Massimiliano and Collins, Francis S and Concas, Maria Pina and Corley, Janie and Cugliari, Giovanni and van Dam, Rob M and Damulina, Anna and Daneshpour, Maryam S and Day, Felix R and Delgado, Graciela E and Dhana, Klodian and Doney, Alexander S F and D{\"o}rr, Marcus and Doumatey, Ayo P and Dzimiri, Nduna and Ebenesersd{\'o}ttir, S Sunna and Elliott, Joshua and Elliott, Paul and Ewert, Ralf and Felix, Janine F and Fischer, Krista and Freedman, Barry I and Girotto, Giorgia and Goel, Anuj and G{\"o}gele, Martin and Goodarzi, Mark O and Graff, Mariaelisa and Granot-Hershkovitz, Einat and Grodstein, Francine and Guarrera, Simonetta and Gudbjartsson, Daniel F and Guity, Kamran and Gunnarsson, Bjarni and Guo, Yu and Hagenaars, Saskia P and Haiman, Christopher A and Halevy, Avner and Harris, Tamara B and Hedayati, Mehdi and van Heel, David A and Hirata, Makoto and H{\"o}fer, Imo and Hsiung, Chao Agnes and Huang, Jinyan and Hung, Yi-Jen and Ikram, M Arfan and Jagadeesan, Anuradha and Jousilahti, Pekka and Kamatani, Yoichiro and Kanai, Masahiro and Kerrison, Nicola D and Kessler, Thorsten and Khaw, Kay-Tee and Khor, Chiea Chuen and de Kleijn, Dominique P V and Koh, Woon-Puay and Kolcic, Ivana and Kraft, Peter and Kr{\"a}mer, Bernhard K and Kutalik, Zolt{\'a}n and Kuusisto, Johanna and Langenberg, Claudia and Launer, Lenore J and Lawlor, Deborah A and Lee, I-Te and Lee, Wen-Jane and Lerch, Markus M and Li, Liming and Liu, Jianjun and Loh, Marie and London, Stephanie J and Loomis, Stephanie and Lu, Yingchang and Luan, Jian{\textquoteright}an and M{\"a}gi, Reedik and Manichaikul, Ani W and Manunta, Paolo and M{\'a}sson, G{\'\i}sli and Matoba, Nana and Mei, Xue W and Meisinger, Christa and Meitinger, Thomas and Mezzavilla, Massimo and Milani, Lili and Millwood, Iona Y and Momozawa, Yukihide and Moore, Amy and Morange, Pierre-Emmanuel and Moreno-Macias, Hortensia and Mori, Trevor A and Morrison, Alanna C and Muka, Taulant and Murakami, Yoshinori and Murray, Alison D and de Mutsert, Ren{\'e}e and Mychaleckyj, Josyf C and Nalls, Mike A and Nauck, Matthias and Neville, Matt J and Nolte, Ilja M and Ong, Ken K and Orozco, Lorena and Padmanabhan, Sandosh and P{\'a}lsson, Gunnar and Pankow, James S and Pattaro, Cristian and Pattie, Alison and Polasek, Ozren and Poulter, Neil and Pramstaller, Peter P and Quintana-Murci, Lluis and R{\"a}ikk{\"o}nen, Katri and Ralhan, Sarju and Rao, Dabeeru C and van Rheenen, Wouter and Rich, Stephen S and Ridker, Paul M and Rietveld, Cornelius A and Robino, Antonietta and van Rooij, Frank J A and Ruggiero, Daniela and Saba, Yasaman and Sabanayagam, Charumathi and Sabater-Lleal, Maria and Sala, Cinzia Felicita and Salomaa, Veikko and Sandow, Kevin and Schmidt, Helena and Scott, Laura J and Scott, William R and Sedaghati-Khayat, Bahareh and Sennblad, Bengt and van Setten, Jessica and Sever, Peter J and Sheu, Wayne H-H and Shi, Yuan and Shrestha, Smeeta and Shukla, Sharvari Rahul and Sigurdsson, Jon K and Sikka, Timo Tonis and Singh, Jai Rup and Smith, Blair H and Stan{\v c}{\'a}kov{\'a}, Alena and Stanton, Alice and Starr, John M and Stefansdottir, Lilja and Straker, Leon and Sulem, Patrick and Sveinbjornsson, Gardar and Swertz, Morris A and Taylor, Adele M and Taylor, Kent D and Terzikhan, Natalie and Tham, Yih-Chung and Thorleifsson, Gudmar and Thorsteinsdottir, Unnur and Tillander, Annika and Tracy, Russell P and Tusi{\'e}-Luna, Teresa and Tzoulaki, Ioanna and Vaccargiu, Simona and Vangipurapu, Jagadish and Veldink, Jan H and Vitart, Veronique and V{\"o}lker, Uwe and Vuoksimaa, Eero and Wakil, Salma M and Waldenberger, Melanie and Wander, Gurpreet S and Wang, Ya Xing and Wareham, Nicholas J and Wild, Sarah and Yajnik, Chittaranjan S and Yuan, Jian-Min and Zeng, Lingyao and Zhang, Liang and Zhou, Jie and Amin, Najaf and Asselbergs, Folkert W and Bakker, Stephan J L and Becker, Diane M and Lehne, Benjamin and Bennett, David A and van den Berg, Leonard H and Berndt, Sonja I and Bharadwaj, Dwaipayan and Bielak, Lawrence F and Bochud, Murielle and Boehnke, Mike and Bouchard, Claude and Bradfield, Jonathan P and Brody, Jennifer A and Campbell, Archie and Carmi, Shai and Caulfield, Mark J and Cesarini, David and Chambers, John C and Chandak, Giriraj Ratan and Cheng, Ching-Yu and Ciullo, Marina and Cornelis, Marilyn and Cusi, Daniele and Smith, George Davey and Deary, Ian J and Dorajoo, Rajkumar and van Duijn, Cornelia M and Ellinghaus, David and Erdmann, Jeanette and Eriksson, Johan G and Evangelou, Evangelos and Evans, Michele K and Faul, Jessica D and Feenstra, Bjarke and Feitosa, Mary and Foisy, Sylvain and Franke, Andre and Friedlander, Yechiel and Gasparini, Paolo and Gieger, Christian and Gonzalez, Clicerio and Goyette, Philippe and Grant, Struan F A and Griffiths, Lyn R and Groop, Leif and Gudnason, Vilmundur and Gyllensten, Ulf and Hakonarson, Hakon and Hamsten, Anders and van der Harst, Pim and Heng, Chew-Kiat and Hicks, Andrew A and Hochner, Hagit and Huikuri, Heikki and Hunt, Steven C and Jaddoe, Vincent W V and De Jager, Philip L and Johannesson, Magnus and Johansson, Asa and Jonas, Jost B and Jukema, J Wouter and Junttila, Juhani and Kaprio, Jaakko and Kardia, Sharon L R and Karpe, Fredrik and Kumari, Meena and Laakso, Markku and van der Laan, Sander W and Lahti, Jari and Laudes, Matthias and Lea, Rodney A and Lieb, Wolfgang and Lumley, Thomas and Martin, Nicholas G and M{\"a}rz, Winfried and Matullo, Giuseppe and McCarthy, Mark I and Medland, Sarah E and Merriman, Tony R and Metspalu, Andres and Meyer, Brian F and Mohlke, Karen L and Montgomery, Grant W and Mook-Kanamori, Dennis and Munroe, Patricia B and North, Kari E and Nyholt, Dale R and O{\textquoteright}Connell, Jeffery R and Ober, Carole and Oldehinkel, Albertine J and Palmas, Walter and Palmer, Colin and Pasterkamp, Gerard G and Patin, Etienne and Pennell, Craig E and Perusse, Louis and Peyser, Patricia A and Pirastu, Mario and Polderman, Tinca J C and Porteous, David J and Posthuma, Danielle and Psaty, Bruce M and Rioux, John D and Rivadeneira, Fernando and Rotimi, Charles and Rotter, Jerome I and Rudan, Igor and den Ruijter, Hester M and Sanghera, Dharambir K and Sattar, Naveed and Schmidt, Reinhold and Schulze, Matthias B and Schunkert, Heribert and Scott, Robert A and Shuldiner, Alan R and Sim, Xueling and Small, Neil and Smith, Jennifer A and Sotoodehnia, Nona and Tai, E-Shyong and Teumer, Alexander and Timpson, Nicholas J and Toniolo, Daniela and Tr{\'e}gou{\"e}t, David-Alexandre and Tuomi, Tiinamaija and Vollenweider, Peter and Wang, Carol A and Weir, David R and Whitfield, John B and Wijmenga, Cisca and Wong, Tien-Yin and Wright, John and Yang, Jingyun and Yu, Lei and Zemel, Babette S and Zonderman, Alan B and Perola, Markus and Magnusson, Patrik K E and Uitterlinden, Andr{\'e} G and Kooner, Jaspal S and Chasman, Daniel I and Loos, Ruth J F and Franceschini, Nora and Franke, Lude and Haley, Chris S and Hayward, Caroline and Walters, Robin G and Perry, John R B and Esko, T{\~o}nu and Helgason, Agnar and Stefansson, Kari and Joshi, Peter K and Kubo, Michiaki and Wilson, James F} } @article {8410, title = {Mendelian randomization analysis does not support causal associations of birth weight with hypertension risk and blood pressure in adulthood.}, journal = {Eur J Epidemiol}, volume = {35}, year = {2020}, month = {2020 Jul}, pages = {685-697}, abstract = {

Epidemiology studies suggested that low birthweight was associated with a higher risk of hypertension in later life. However, little is known about the causality of such associations. In our study, we evaluated the causal association of low birthweight with adulthood hypertension following a standard analytic protocol using the study-level data of 183,433 participants from 60 studies (CHARGE-BIG consortium), as well as that with blood pressure using publicly available summary-level genome-wide association data from EGG consortium of 153,781 participants, ICBP consortium and UK Biobank cohort together of 757,601 participants. We used seven SNPs as the instrumental variable in the study-level analysis and 47 SNPs in the summary-level analysis. In the study-level analyses, decreased birthweight was associated with a higher risk of hypertension in adults (the odds ratio per 1 standard deviation (SD) lower birthweight, 1.22; 95\% CI 1.16 to 1.28), while no association was found between genetically instrumented birthweight and hypertension risk (instrumental odds ratio for causal effect per 1 SD lower birthweight, 0.97; 95\% CI 0.68 to 1.41). Such results were consistent with that from the summary-level analyses, where the genetically determined low birthweight was not associated with blood pressure measurements either. One SD lower genetically determined birthweight was not associated with systolic blood pressure (β = - 0.76, 95\% CI - 2.45 to 1.08~mmHg), 0.06~mmHg lower diastolic blood pressure (β = - 0.06, 95\% CI - 0.93 to 0.87~mmHg), or pulse pressure (β = - 0.65, 95\% CI - 1.38 to 0.69~mmHg, all p > 0.05). Our findings suggest that the inverse association of birthweight with hypertension risk from observational studies was not supported by large Mendelian randomization analyses.

}, issn = {1573-7284}, doi = {10.1007/s10654-020-00638-z}, author = {Zheng, Yan and Huang, Tao and Wang, Tiange and Mei, Zhendong and Sun, Zhonghan and Zhang, Tao and Ellervik, Christina and Chai, Jin-Fang and Sim, Xueling and van Dam, Rob M and Tai, E-Shyong and Koh, Woon-Puay and Dorajoo, Rajkumar and Saw, Seang-Mei and Sabanayagam, Charumathi and Wong, Tien Yin and Gupta, Preeti and Rossing, Peter and Ahluwalia, Tarunveer S and Vinding, Rebecca K and Bisgaard, Hans and B{\o}nnelykke, Klaus and Wang, Yujie and Graff, Mariaelisa and Voortman, Trudy and van Rooij, Frank J A and Hofman, Albert and van Heemst, Diana and Noordam, Raymond and Estampador, Angela C and Varga, Tibor V and Enzenbach, Cornelia and Scholz, Markus and Thiery, Joachim and Burkhardt, Ralph and Orho-Melander, Marju and Schulz, Christina-Alexandra and Ericson, Ulrika and Sonestedt, Emily and Kubo, Michiaki and Akiyama, Masato and Zhou, Ang and Kilpel{\"a}inen, Tuomas O and Hansen, Torben and Kleber, Marcus E and Delgado, Graciela and McCarthy, Mark and Lemaitre, Rozenn N and Felix, Janine F and Jaddoe, Vincent W V and Wu, Ying and Mohlke, Karen L and Lehtim{\"a}ki, Terho and Wang, Carol A and Pennell, Craig E and Schunkert, Heribert and Kessler, Thorsten and Zeng, Lingyao and Willenborg, Christina and Peters, Annette and Lieb, Wolfgang and Grote, Veit and Rzehak, Peter and Koletzko, Berthold and Erdmann, Jeanette and Munz, Matthias and Wu, Tangchun and He, Meian and Yu, Caizheng and Lecoeur, C{\'e}cile and Froguel, Philippe and Corella, Dolores and Moreno, Luis A and Lai, Chao-Qiang and Pitk{\"a}nen, Niina and Boreham, Colin A and Ridker, Paul M and Rosendaal, Frits R and de Mutsert, Ren{\'e}e and Power, Chris and Paternoster, Lavinia and S{\o}rensen, Thorkild I A and Tj{\o}nneland, Anne and Overvad, Kim and Djouss{\'e}, Luc and Rivadeneira, Fernando and Lee, Nanette R and Raitakari, Olli T and K{\"a}h{\"o}nen, Mika and Viikari, Jorma and Langhendries, Jean-Paul and Escribano, Joaquin and Verduci, Elvira and Dedoussis, George and K{\"o}nig, Inke and Balkau, Beverley and Coltell, Oscar and Dallongeville, Jean and Meirhaeghe, Aline and Amouyel, Philippe and Gottrand, Fr{\'e}d{\'e}ric and Pahkala, Katja and Niinikoski, Harri and Hypp{\"o}nen, Elina and M{\"a}rz, Winfried and Mackey, David A and Gruszfeld, Dariusz and Tucker, Katherine L and Fumeron, Fr{\'e}d{\'e}ric and Estruch, Ramon and Ordovas, Jose M and Arnett, Donna K and Mook-Kanamori, Dennis O and Mozaffarian, Dariush and Psaty, Bruce M and North, Kari E and Chasman, Daniel I and Qi, Lu} } @article {8490, title = {The Polygenic and Monogenic Basis of Blood Traits and Diseases.}, journal = {Cell}, volume = {182}, year = {2020}, month = {2020 Sep 03}, pages = {1214-1231.e11}, abstract = {

Blood cells play essential roles in human health, underpinning physiological processes such as immunity, oxygen transport, and clotting, which when perturbed cause a significant global health burden. Here we integrate data from UK Biobank and a large-scale international collaborative effort, including data for 563,085 European ancestry participants, and discover 5,106 new genetic variants independently associated with 29 blood cell phenotypes covering a range of variation impacting hematopoiesis. We holistically characterize the genetic architecture of hematopoiesis, assess the relevance of the omnigenic model to blood cell phenotypes, delineate relevant hematopoietic cell states influenced by regulatory genetic variants and gene networks, identify novel splice-altering variants mediating the associations, and assess the polygenic prediction potential for blood traits and clinical disorders at the interface of complex and Mendelian genetics. These results show the power of large-scale blood cell trait GWAS to interrogate clinically meaningful variants across a wide allelic spectrum of human variation.

}, issn = {1097-4172}, doi = {10.1016/j.cell.2020.08.008}, author = {Vuckovic, Dragana and Bao, Erik L and Akbari, Parsa and Lareau, Caleb A and Mousas, Abdou and Jiang, Tao and Chen, Ming-Huei and Raffield, Laura M and Tardaguila, Manuel and Huffman, Jennifer E and Ritchie, Scott C and Megy, Karyn and Ponstingl, Hannes and Penkett, Christopher J and Albers, Patrick K and Wigdor, Emilie M and Sakaue, Saori and Moscati, Arden and Manansala, Regina and Lo, Ken Sin and Qian, Huijun and Akiyama, Masato and Bartz, Traci M and Ben-Shlomo, Yoav and Beswick, Andrew and Bork-Jensen, Jette and Bottinger, Erwin P and Brody, Jennifer A and van Rooij, Frank J A and Chitrala, Kumaraswamy N and Wilson, Peter W F and Choquet, Helene and Danesh, John and Di Angelantonio, Emanuele and Dimou, Niki and Ding, Jingzhong and Elliott, Paul and Esko, T{\~o}nu and Evans, Michele K and Felix, Stephan B and Floyd, James S and Broer, Linda and Grarup, Niels and Guo, Michael H and Guo, Qi and Greinacher, Andreas and Haessler, Jeff and Hansen, Torben and Howson, Joanna M M and Huang, Wei and Jorgenson, Eric and Kacprowski, Tim and K{\"a}h{\"o}nen, Mika and Kamatani, Yoichiro and Kanai, Masahiro and Karthikeyan, Savita and Koskeridis, Fotios and Lange, Leslie A and Lehtim{\"a}ki, Terho and Linneberg, Allan and Liu, Yongmei and Lyytik{\"a}inen, Leo-Pekka and Manichaikul, Ani and Matsuda, Koichi and Mohlke, Karen L and Mononen, Nina and Murakami, Yoshinori and Nadkarni, Girish N and Nikus, Kjell and Pankratz, Nathan and Pedersen, Oluf and Preuss, Michael and Psaty, Bruce M and Raitakari, Olli T and Rich, Stephen S and Rodriguez, Benjamin A T and Rosen, Jonathan D and Rotter, Jerome I and Schubert, Petra and Spracklen, Cassandra N and Surendran, Praveen and Tang, Hua and Tardif, Jean-Claude and Ghanbari, Mohsen and V{\"o}lker, Uwe and V{\"o}lzke, Henry and Watkins, Nicholas A and Weiss, Stefan and Cai, Na and Kundu, Kousik and Watt, Stephen B and Walter, Klaudia and Zonderman, Alan B and Cho, Kelly and Li, Yun and Loos, Ruth J F and Knight, Julian C and Georges, Michel and Stegle, Oliver and Evangelou, Evangelos and Okada, Yukinori and Roberts, David J and Inouye, Michael and Johnson, Andrew D and Auer, Paul L and Astle, William J and Reiner, Alexander P and Butterworth, Adam S and Ouwehand, Willem H and Lettre, Guillaume and Sankaran, Vijay G and Soranzo, Nicole} } @article {8481, title = {Trans-ethnic and Ancestry-Specific Blood-Cell Genetics in 746,667 Individuals from 5 Global Populations.}, journal = {Cell}, volume = {182}, year = {2020}, month = {2020 Sep 03}, pages = {1198-1213.e14}, abstract = {

Most loci identified by GWASs have been found in populations of European ancestry (EUR). In trans-ethnic meta-analyses for 15 hematological traits in 746,667 participants, including 184,535 non-EUR individuals, we identified 5,552 trait-variant associations at p~< 5~{\texttimes} 10, including 71 novel associations not found in EUR populations. We also identified 28 additional novel variants in ancestry-specific, non-EUR meta-analyses, including an IL7 missense variant in South Asians associated with lymphocyte count in~vivo and IL-7 secretion levels in~vitro. Fine-mapping prioritized variants annotated as functional and generated 95\% credible sets that were 30\% smaller when using the trans-ethnic as opposed to the EUR-only results. We explored the clinical significance and predictive value of trans-ethnic variants in multiple populations and compared genetic architecture and the effect of natural selection on these blood phenotypes between populations. Altogether, our results for hematological traits highlight the value of a more global representation of populations in genetic studies.

}, issn = {1097-4172}, doi = {10.1016/j.cell.2020.06.045}, author = {Chen, Ming-Huei and Raffield, Laura M and Mousas, Abdou and Sakaue, Saori and Huffman, Jennifer E and Moscati, Arden and Trivedi, Bhavi and Jiang, Tao and Akbari, Parsa and Vuckovic, Dragana and Bao, Erik L and Zhong, Xue and Manansala, Regina and Laplante, V{\'e}ronique and Chen, Minhui and Lo, Ken Sin and Qian, Huijun and Lareau, Caleb A and Beaudoin, M{\'e}lissa and Hunt, Karen A and Akiyama, Masato and Bartz, Traci M and Ben-Shlomo, Yoav and Beswick, Andrew and Bork-Jensen, Jette and Bottinger, Erwin P and Brody, Jennifer A and van Rooij, Frank J A and Chitrala, Kumaraswamynaidu and Cho, Kelly and Choquet, Helene and Correa, Adolfo and Danesh, John and Di Angelantonio, Emanuele and Dimou, Niki and Ding, Jingzhong and Elliott, Paul and Esko, T{\~o}nu and Evans, Michele K and Floyd, James S and Broer, Linda and Grarup, Niels and Guo, Michael H and Greinacher, Andreas and Haessler, Jeff and Hansen, Torben and Howson, Joanna M M and Huang, Qin Qin and Huang, Wei and Jorgenson, Eric and Kacprowski, Tim and K{\"a}h{\"o}nen, Mika and Kamatani, Yoichiro and Kanai, Masahiro and Karthikeyan, Savita and Koskeridis, Fotis and Lange, Leslie A and Lehtim{\"a}ki, Terho and Lerch, Markus M and Linneberg, Allan and Liu, Yongmei and Lyytik{\"a}inen, Leo-Pekka and Manichaikul, Ani and Martin, Hilary C and Matsuda, Koichi and Mohlke, Karen L and Mononen, Nina and Murakami, Yoshinori and Nadkarni, Girish N and Nauck, Matthias and Nikus, Kjell and Ouwehand, Willem H and Pankratz, Nathan and Pedersen, Oluf and Preuss, Michael and Psaty, Bruce M and Raitakari, Olli T and Roberts, David J and Rich, Stephen S and Rodriguez, Benjamin A T and Rosen, Jonathan D and Rotter, Jerome I and Schubert, Petra and Spracklen, Cassandra N and Surendran, Praveen and Tang, Hua and Tardif, Jean-Claude and Trembath, Richard C and Ghanbari, Mohsen and V{\"o}lker, Uwe and V{\"o}lzke, Henry and Watkins, Nicholas A and Zonderman, Alan B and Wilson, Peter W F and Li, Yun and Butterworth, Adam S and Gauchat, Jean-Fran{\c c}ois and Chiang, Charleston W K and Li, Bingshan and Loos, Ruth J F and Astle, William J and Evangelou, Evangelos and van Heel, David A and Sankaran, Vijay G and Okada, Yukinori and Soranzo, Nicole and Johnson, Andrew D and Reiner, Alexander P and Auer, Paul L and Lettre, Guillaume} }