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1. Understanding the genetic complexity of puberty timing across the allele frequency spectrum.

Author

Kentistou, Katherine, Kaisinger, Lena, Stankovic, Stasa, Vaudel, Marc, Mendes de Oliveira, Edson, Messina, Andrea, Walters, Robin, Liu, Xiaoxi, Busch, Alexander, Helgason, Hannes, Thompson, Deborah, Santoni, Federico, Petricek, Konstantin, Zouaghi, Yassine, Huang-Doran, Isabel, Gudbjartsson, Daniel, Bratland, Eirik, Lin, Kuang, Gardner, Eugene, Zhao, Yajie, Jia, Raina, Terao, Chikashi, Riggan, Marjorie, Bolla, Manjeet, Yazdanpanah, Mojgan, Yazdanpanah, Nahid, Bradfield, Jonathan, Broer, Linda, Campbell, Archie, Chasman, Daniel, Cousminer, Diana, Franceschini, Nora, Franke, Lude, Girotto, Giorgia, He, Chunyan, Järvelin, Marjo-Riitta, Joshi, Peter, Kamatani, Yoichiro, Karlsson, Robert, Luan, Jianan, Lunetta, Kathryn, Mägi, Reedik, Mangino, Massimo, Medland, Sarah, Meisinger, Christa, Noordam, Raymond, Nutile, Teresa, Concas, Maria, Polašek, Ozren, Porcu, Eleonora, Ring, Susan, Sala, Cinzia, Smith, Albert, Tanaka, Toshiko, van der Most, Peter, Vitart, Veronique, Wang, Carol, Willemsen, Gonneke, Zygmunt, Marek, Ahearn, Thomas, Andrulis, Irene, Anton-Culver, Hoda, Antoniou, Antonis, Auer, Paul, Barnes, Catriona, Beckmann, Matthias, Berrington de Gonzalez, Amy, Bogdanova, Natalia, Bojesen, Stig, Brenner, Hermann, Buring, Julie, Canzian, Federico, Chang-Claude, Jenny, Couch, Fergus, Cox, Angela, Crisponi, Laura, Czene, Kamila, Daly, Mary, Demerath, Ellen, Dennis, Joe, Devilee, Peter, De Vivo, Immaculata, Dörk, Thilo, Dunning, Alison, Dwek, Miriam, Eriksson, Johan, Fasching, Peter, Fernandez-Rhodes, Lindsay, Ferreli, Liana, Fletcher, Olivia, Gago-Dominguez, Manuela, García-Closas, Montserrat, García-Sáenz, José, González-Neira, Anna, Grallert, Harald, Guénel, Pascal, Haiman, Christopher, Hall, Per, Hamann, Ute, and Hakonarson, Hakon

Subjects
Humans, Female, Menarche, Puberty, Gene Frequency, Animals, Multifactorial Inheritance, Mice, Genome-Wide Association Study, Adolescent, Puberty, Precocious, Polymorphism, Single Nucleotide, Receptors, G-Protein-Coupled, Puberty, Delayed, Child
Abstract

Pubertal timing varies considerably and is associated with later health outcomes. We performed multi-ancestry genetic analyses on ~800,000 women, identifying 1,080 signals for age at menarche. Collectively, these explained 11% of trait variance in an independent sample. Women at the top and bottom 1% of polygenic risk exhibited ~11 and ~14-fold higher risks of delayed and precocious puberty, respectively. We identified several genes harboring rare loss-of-function variants in ~200,000 women, including variants in ZNF483, which abolished the impact of polygenic risk. Variant-to-gene mapping approaches and mouse gonadotropin-releasing hormone neuron RNA sequencing implicated 665 genes, including an uncharacterized G-protein-coupled receptor, GPR83, which amplified the signaling of MC3R, a key nutritional sensor. Shared signals with menopause timing at genes involved in DNA damage response suggest that the ovarian reserve might signal centrally to trigger puberty. We also highlight body size-dependent and independent mechanisms that potentially link reproductive timing to later life disease.

Published
2024

2. Associations between Ambient Air Pollutants and Clonal Hematopoiesis of Indeterminate Potential.

Author

Leiser, Claire L, Whitsel, Eric A, Reiner, Alexander, Rich, Stephen S, Rotter, Jerome I, Taylor, Kent D, Tracy, Russel P, Kooperberg, Charles, Smith, Albert Vernon, Manson, JoAnn E, Mychaleckyj, Josyf C, Bick, Alexander G, Szpiro, Adam A, and Kaufman, Joel D

Subjects
Epidemiology, Health Sciences, Aging, Cancer, Hematology, Climate-Related Exposures and Conditions, Prevention, Atherosclerosis, Genetics, 2.2 Factors relating to the physical environment, Humans, Female, Air Pollutants, Environmental Pollutants, Nitrogen Dioxide, Clonal Hematopoiesis, Cross-Sectional Studies, Environmental Exposure, Air Pollution, Particulate Matter, Medical and Health Sciences, Biomedical and clinical sciences, Health sciences
Abstract

BackgroundClonal hematopoiesis of indeterminate potential (CHIP) is an age-related somatic mutation associated with incident hematologic cancer. Environmental stressors which, like air pollution, generate oxidative stress at the cellular level, may induce somatic mutations and some mutations may provide a selection advantage for persistence and expansion of specific clones.MethodsWe used data from the Multi-Ethnic Study of Atherosclerosis (MESA) N = 4,379 and the Women's Health Initiative (WHI) N = 7,701 to estimate cross-sectional associations between annual average air pollution concentrations at participant address the year before blood draw using validated spatiotemporal models. We used covariate-adjusted logistic regression to estimate risk of CHIP per interquartile range increases in particulate matter (PM2.5; 4 μg/m3) and nitrogen dioxide (NO2; 10 ppb) as ORs (95% confidence intervals).ResultsPrevalence of CHIP at blood draw (variant allele fraction > 2%) was 4.4% and 8.7% in MESA and WHI, respectively. The most common CHIP driver mutation was in DNMT3A. Neither pollutant was associated with CHIP: ORMESA PM2.5 = 1.00 (0.68-1.45), ORMESA NO2 = 1.05 (0.69-1.61), ORWHI PM2.5 = 0.97 (0.86-1.09), ORWHI NO2 = 0.98 (0.88-1.10); or with DNMT3A-driven CHIP.ConclusionsWe did not find evidence that air pollution contributes to CHIP prevalence in two large observational cohorts.ImpactThis is the first study to estimate associations between air pollution and CHIP.

Published
2023

3. Whole-genome sequencing association analysis of quantitative red blood cell phenotypes: The NHLBI TOPMed program

Author

Hu, Yao, Stilp, Adrienne M, McHugh, Caitlin P, Rao, Shuquan, Jain, Deepti, Zheng, Xiuwen, Lane, John, de Bellefon, Sébastian Méric, Raffield, Laura M, Chen, Ming-Huei, Yanek, Lisa R, Wheeler, Marsha, Yao, Yao, Ren, Chunyan, Broome, Jai, Moon, Jee-Young, de Vries, Paul S, Hobbs, Brian D, Sun, Quan, Surendran, Praveen, Brody, Jennifer A, Blackwell, Thomas W, Choquet, Hélène, Ryan, Kathleen, Duggirala, Ravindranath, Heard-Costa, Nancy, Wang, Zhe, Chami, Nathalie, Preuss, Michael H, Min, Nancy, Ekunwe, Lynette, Lange, Leslie A, Cushman, Mary, Faraday, Nauder, Curran, Joanne E, Almasy, Laura, Kundu, Kousik, Smith, Albert V, Gabriel, Stacey, Rotter, Jerome I, Fornage, Myriam, Lloyd-Jones, Donald M, Vasan, Ramachandran S, Smith, Nicholas L, North, Kari E, Boerwinkle, Eric, Becker, Lewis C, Lewis, Joshua P, Abecasis, Goncalo R, Hou, Lifang, O’Connell, Jeffrey R, Morrison, Alanna C, Beaty, Terri H, Kaplan, Robert, Correa, Adolfo, Blangero, John, Jorgenson, Eric, Psaty, Bruce M, Kooperberg, Charles, Walton, Russell T, Kleinstiver, Benjamin P, Tang, Hua, Loos, Ruth JF, Soranzo, Nicole, Butterworth, Adam S, Nickerson, Debbie, Rich, Stephen S, Mitchell, Braxton D, Johnson, Andrew D, Auer, Paul L, Li, Yun, Mathias, Rasika A, Lettre, Guillaume, Pankratz, Nathan, Laurie, Cathy C, Laurie, Cecelia A, Bauer, Daniel E, Conomos, Matthew P, Reiner, Alexander P, and Consortium, NHLBI Trans-Omics for Precision Medicine

Subjects
Epidemiology, Biological Sciences, Health Sciences, Genetics, Biotechnology, Clinical Research, Hematology, Human Genome, Aetiology, 2.1 Biological and endogenous factors, Good Health and Well Being, Adult, Aged, Chromosomes, Human, Pair 16, Datasets as Topic, Erythrocytes, Female, Gene Editing, Genetic Variation, Genome-Wide Association Study, HEK293 Cells, Humans, Male, Middle Aged, National Heart, Lung, and Blood Institute (U.S.), Phenotype, Quality Control, Reproducibility of Results, United States, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, base editing, red blood cell traits, whole-genome sequencing, Medical and Health Sciences, Genetics & Heredity, Biological sciences, Biomedical and clinical sciences, Health sciences
Abstract

Whole-genome sequencing (WGS), a powerful tool for detecting novel coding and non-coding disease-causing variants, has largely been applied to clinical diagnosis of inherited disorders. Here we leveraged WGS data in up to 62,653 ethnically diverse participants from the NHLBI Trans-Omics for Precision Medicine (TOPMed) program and assessed statistical association of variants with seven red blood cell (RBC) quantitative traits. We discovered 14 single variant-RBC trait associations at 12 genomic loci, which have not been reported previously. Several of the RBC trait-variant associations (RPN1, ELL2, MIDN, HBB, HBA1, PIEZO1, and G6PD) were replicated in independent GWAS datasets imputed to the TOPMed reference panel. Most of these discovered variants are rare/low frequency, and several are observed disproportionately among non-European Ancestry (African, Hispanic/Latino, or East Asian) populations. We identified a 3 bp indel p.Lys2169del (g.88717175_88717177TCT[4]) (common only in the Ashkenazi Jewish population) of PIEZO1, a gene responsible for the Mendelian red cell disorder hereditary xerocytosis (MIM: 194380), associated with higher mean corpuscular hemoglobin concentration (MCHC). In stepwise conditional analysis and in gene-based rare variant aggregated association analysis, we identified several of the variants in HBB, HBA1, TMPRSS6, and G6PD that represent the carrier state for known coding, promoter, or splice site loss-of-function variants that cause inherited RBC disorders. Finally, we applied base and nuclease editing to demonstrate that the sentinel variant rs112097551 (nearest gene RPN1) acts through a cis-regulatory element that exerts long-range control of the gene RUVBL1 which is essential for hematopoiesis. Together, these results demonstrate the utility of WGS in ethnically diverse population-based samples and gene editing for expanding knowledge of the genetic architecture of quantitative hematologic traits and suggest a continuum between complex trait and Mendelian red cell disorders.

Published
2021

4. Chromosome Xq23 is associated with lower atherogenic lipid concentrations and favorable cardiometabolic indices.

Author

Natarajan, Pradeep, Pampana, Akhil, Graham, Sarah E, Ruotsalainen, Sanni E, Perry, James A, de Vries, Paul S, Broome, Jai G, Pirruccello, James P, Honigberg, Michael C, Aragam, Krishna, Wolford, Brooke, Brody, Jennifer A, Antonacci-Fulton, Lucinda, Arden, Moscati, Aslibekyan, Stella, Assimes, Themistocles L, Ballantyne, Christie M, Bielak, Lawrence F, Bis, Joshua C, Cade, Brian E, Do, Ron, Doddapaneni, Harsha, Emery, Leslie S, Hung, Yi-Jen, Irvin, Marguerite R, Khan, Alyna T, Lange, Leslie, Lee, Jiwon, Lemaitre, Rozenn N, Martin, Lisa W, Metcalf, Ginger, Montasser, May E, Moon, Jee-Young, Muzny, Donna, O'Connell, Jeffrey R, Palmer, Nicholette D, Peralta, Juan M, Peyser, Patricia A, Stilp, Adrienne M, Tsai, Michael, Wang, Fei Fei, Weeks, Daniel E, Yanek, Lisa R, Wilson, James G, Abecasis, Goncalo, Arnett, Donna K, Becker, Lewis C, Blangero, John, Boerwinkle, Eric, Bowden, Donald W, Chang, Yi-Cheng, Chen, Yii-Der I, Choi, Won Jung, Correa, Adolfo, Curran, Joanne E, Daly, Mark J, Dutcher, Susan K, Ellinor, Patrick T, Fornage, Myriam, Freedman, Barry I, Gabriel, Stacey, Germer, Soren, Gibbs, Richard A, He, Jiang, Hveem, Kristian, Jarvik, Gail P, Kaplan, Robert C, Kardia, Sharon LR, Kenny, Eimear, Kim, Ryan W, Kooperberg, Charles, Laurie, Cathy C, Lee, Seonwook, Lloyd-Jones, Don M, Loos, Ruth JF, Lubitz, Steven A, Mathias, Rasika A, Martinez, Karine A Viaud, McGarvey, Stephen T, Mitchell, Braxton D, Nickerson, Deborah A, North, Kari E, Palotie, Aarno, Park, Cheol Joo, Psaty, Bruce M, Rao, DC, Redline, Susan, Reiner, Alexander P, Seo, Daekwan, Seo, Jeong-Sun, Smith, Albert V, Tracy, Russell P, Vasan, Ramachandran S, Kathiresan, Sekar, Cupples, L Adrienne, Rotter, Jerome I, Morrison, Alanna C, Rich, Stephen S, Ripatti, Samuli, and Willer, Cristen

Subjects
NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, FinnGen, Subcutaneous Tissue, Chromosomes, Human, X, Humans, Genetic Predisposition to Disease, Lipids, Eye Proteins, Nerve Tissue Proteins, Gene Expression Regulation, Genotype, Polymorphism, Single Nucleotide, Middle Aged, Female, Male, Genetic Loci, Genetic Association Studies, Whole Genome Sequencing, Phenomics, Cardiometabolic Risk Factors, Chromosomes, Human, X, Polymorphism, Single Nucleotide
Abstract

Autosomal genetic analyses of blood lipids have yielded key insights for coronary heart disease (CHD). However, X chromosome genetic variation is understudied for blood lipids in large sample sizes. We now analyze genetic and blood lipid data in a high-coverage whole X chromosome sequencing study of 65,322 multi-ancestry participants and perform replication among 456,893 European participants. Common alleles on chromosome Xq23 are strongly associated with reduced total cholesterol, LDL cholesterol, and triglycerides (min P = 8.5 × 10-72), with similar effects for males and females. Chromosome Xq23 lipid-lowering alleles are associated with reduced odds for CHD among 42,545 cases and 591,247 controls (P = 1.7 × 10-4), and reduced odds for diabetes mellitus type 2 among 54,095 cases and 573,885 controls (P = 1.4 × 10-5). Although we observe an association with increased BMI, waist-to-hip ratio adjusted for BMI is reduced, bioimpedance analyses indicate increased gluteofemoral fat, and abdominal MRI analyses indicate reduced visceral adiposity. Co-localization analyses strongly correlate increased CHRDL1 gene expression, particularly in adipose tissue, with reduced concentrations of blood lipids.

Published
2021

5. Association of common genetic variants with brain microbleeds: A Genome-wide Association Study

Author

Knol, Maria J, Lu, Dongwei, Traylor, Matthew, Adams, Hieab HH, Romero, José Rafael J, Smith, Albert V, Fornage, Myriam, Hofer, Edith, Liu, Junfeng, Hostettler, Isabel C, Luciano, Michelle, Trompet, Stella, Giese, Anne-Katrin, Hilal, Saima, van den Akker, Erik B, Vojinovic, Dina, Li, Shuo, Sigurdsson, Sigurdur, van der Lee, Sven J, Jack, Clifford R, Wilson, Duncan, Yilmaz, Pinar, Satizabal, Claudia L, Liewald, David CM, van der Grond, Jeroen, Chen, Christopher, Saba, Yasaman, van der Lugt, Aad, Bastin, Mark E, Windham, B Gwen, Cheng, Ching Yu, Pirpamer, Lukas, Kantarci, Kejal, Himali, Jayandra J, Yang, Qiong, Morris, Zoe, Beiser, Alexa S, Tozer, Daniel J, Vernooij, Meike W, Amin, Najaf, Beekman, Marian, Koh, Jia Yu, Stott, David J, Houlden, Henry, Schmidt, Reinhold, Gottesman, Rebecca F, MacKinnon, Andrew D, DeCarli, Charles, Gudnason, Vilmundur, Deary, Ian J, van Duijn, Cornelia M, Slagboom, P Eline, Wong, Tien Yin, Rost, Natalia S, Jukema, J Wouter, Mosley, Thomas H, Werring, David J, Schmidt, Helena, Wardlaw, Joanna M, Ikram, M Arfan, Seshadri, Sudha, Launer, Lenore J, Markus, Hugh S, and Initiative, for the Alzheimer’s Disease Neuroimaging

Subjects
Stroke, Human Genome, Neurosciences, Brain Disorders, Genetics, Prevention, Aetiology, 2.1 Biological and endogenous factors, Aged, Aged, 80 and over, Alleles, Apolipoprotein E2, Apolipoprotein E4, Apolipoproteins E, Case-Control Studies, Cerebral Hemorrhage, Cerebral Small Vessel Diseases, Cohort Studies, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Polymorphism, Single Nucleotide, Risk, White Matter, Alzheimer's Disease Neuroimaging Initiative, Clinical Sciences, Cognitive Sciences, Neurology & Neurosurgery
Abstract

ObjectiveTo identify common genetic variants associated with the presence of brain microbleeds (BMBs).MethodsWe performed genome-wide association studies in 11 population-based cohort studies and 3 case-control or case-only stroke cohorts. Genotypes were imputed to the Haplotype Reference Consortium or 1000 Genomes reference panel. BMBs were rated on susceptibility-weighted or T2*-weighted gradient echo MRI sequences, and further classified as lobar or mixed (including strictly deep and infratentorial, possibly with lobar BMB). In a subset, we assessed the effects of APOE ε2 and ε4 alleles on BMB counts. We also related previously identified cerebral small vessel disease variants to BMBs.ResultsBMBs were detected in 3,556 of the 25,862 participants, of which 2,179 were strictly lobar and 1,293 mixed. One locus in the APOE region reached genome-wide significance for its association with BMB (lead single nucleotide polymorphism rs769449; odds ratio [OR]any BMB [95% confidence interval (CI)] 1.33 [1.21-1.45]; p = 2.5 × 10-10). APOE ε4 alleles were associated with strictly lobar (OR [95% CI] 1.34 [1.19-1.50]; p = 1.0 × 10-6) but not with mixed BMB counts (OR [95% CI] 1.04 [0.86-1.25]; p = 0.68). APOE ε2 alleles did not show associations with BMB counts. Variants previously related to deep intracerebral hemorrhage and lacunar stroke, and a risk score of cerebral white matter hyperintensity variants, were associated with BMB.ConclusionsGenetic variants in the APOE region are associated with the presence of BMB, most likely due to the APOE ε4 allele count related to a higher number of strictly lobar BMBs. Genetic predisposition to small vessel disease confers risk of BMB, indicating genetic overlap with other cerebral small vessel disease markers.

Published
2020

6. Cerebral small vessel disease genomics and its implications across the lifespan.

Author

Sargurupremraj, Muralidharan, Suzuki, Hideaki, Jian, Xueqiu, Sarnowski, Chloé, Evans, Tavia E, Bis, Joshua C, Eiriksdottir, Gudny, Sakaue, Saori, Terzikhan, Natalie, Habes, Mohamad, Zhao, Wei, Armstrong, Nicola J, Hofer, Edith, Yanek, Lisa R, Hagenaars, Saskia P, Kumar, Rajan B, van den Akker, Erik B, McWhirter, Rebekah E, Trompet, Stella, Mishra, Aniket, Saba, Yasaman, Satizabal, Claudia L, Beaudet, Gregory, Petit, Laurent, Tsuchida, Ami, Zago, Laure, Schilling, Sabrina, Sigurdsson, Sigurdur, Gottesman, Rebecca F, Lewis, Cora E, Aggarwal, Neelum T, Lopez, Oscar L, Smith, Jennifer A, Valdés Hernández, Maria C, van der Grond, Jeroen, Wright, Margaret J, Knol, Maria J, Dörr, Marcus, Thomson, Russell J, Bordes, Constance, Le Grand, Quentin, Duperron, Marie-Gabrielle, Smith, Albert V, Knopman, David S, Schreiner, Pamela J, Evans, Denis A, Rotter, Jerome I, Beiser, Alexa S, Maniega, Susana Muñoz, Beekman, Marian, Trollor, Julian, Stott, David J, Vernooij, Meike W, Wittfeld, Katharina, Niessen, Wiro J, Soumaré, Aicha, Boerwinkle, Eric, Sidney, Stephen, Turner, Stephen T, Davies, Gail, Thalamuthu, Anbupalam, Völker, Uwe, van Buchem, Mark A, Bryan, R Nick, Dupuis, Josée, Bastin, Mark E, Ames, David, Teumer, Alexander, Amouyel, Philippe, Kwok, John B, Bülow, Robin, Deary, Ian J, Schofield, Peter R, Brodaty, Henry, Jiang, Jiyang, Tabara, Yasuharu, Setoh, Kazuya, Miyamoto, Susumu, Yoshida, Kazumichi, Nagata, Manabu, Kamatani, Yoichiro, Matsuda, Fumihiko, Psaty, Bruce M, Bennett, David A, De Jager, Philip L, Mosley, Thomas H, Sachdev, Perminder S, Schmidt, Reinhold, Warren, Helen R, Evangelou, Evangelos, Trégouët, David-Alexandre, International Network against Thrombosis (INVENT) Consortium, International Headache Genomics Consortium (IHGC), Ikram, Mohammad A, Wen, Wei, DeCarli, Charles, Srikanth, Velandai K, Jukema, J Wouter, Slagboom, Eline P, and Kardia, Sharon LR

Subjects
International Network against Thrombosis (INVENT) Consortium, International Headache Genomics Consortium, Humans, Alzheimer Disease, Hypertension, Medical History Taking, Risk Assessment, Risk Factors, Adult, Aged, Aged, 80 and over, Middle Aged, Female, Male, Stroke, Genome-Wide Association Study, Young Adult, Diffusion Tensor Imaging, Genetic Loci, Mendelian Randomization Analysis, Cerebral Small Vessel Diseases, White Matter, and over
Abstract

White matter hyperintensities (WMH) are the most common brain-imaging feature of cerebral small vessel disease (SVD), hypertension being the main known risk factor. Here, we identify 27 genome-wide loci for WMH-volume in a cohort of 50,970 older individuals, accounting for modification/confounding by hypertension. Aggregated WMH risk variants were associated with altered white matter integrity (p = 2.5×10-7) in brain images from 1,738 young healthy adults, providing insight into the lifetime impact of SVD genetic risk. Mendelian randomization suggested causal association of increasing WMH-volume with stroke, Alzheimer-type dementia, and of increasing blood pressure (BP) with larger WMH-volume, notably also in persons without clinical hypertension. Transcriptome-wide colocalization analyses showed association of WMH-volume with expression of 39 genes, of which four encode known drug targets. Finally, we provide insight into BP-independent biological pathways underlying SVD and suggest potential for genetic stratification of high-risk individuals and for genetically-informed prioritization of drug targets for prevention trials.

Published
2020

7. Common Genetic Variation Indicates Separate Causes for Periventricular and Deep White Matter Hyperintensities

Author

Armstrong, Nicola J, Mather, Karen A, Sargurupremraj, Muralidharan, Knol, Maria J, Malik, Rainer, Satizabal, Claudia L, Yanek, Lisa R, Wen, Wei, Gudnason, Vilmundur G, Dueker, Nicole D, Elliott, Lloyd T, Hofer, Edith, Bis, Joshua, Jahanshad, Neda, Li, Shuo, Logue, Mark A, Luciano, Michelle, Scholz, Markus, Smith, Albert V, Trompet, Stella, Vojinovic, Dina, Xia, Rui, Alfaro-Almagro, Fidel, Ames, David, Amin, Najaf, Amouyel, Philippe, Beiser, Alexa S, Brodaty, Henry, Deary, Ian J, Fennema-Notestine, Christine, Gampawar, Piyush G, Gottesman, Rebecca, Griffanti, Ludovica, Jack, Clifford R, Jenkinson, Mark, Jiang, Jiyang, Kral, Brian G, Kwok, John B, Lampe, Leonie, C.M. Liewald, David, Maillard, Pauline, Marchini, Jonathan, Bastin, Mark E, Mazoyer, Bernard, Pirpamer, Lukas, Rafael Romero, José, Roshchupkin, Gennady V, Schofield, Peter R, Schroeter, Matthias L, Stott, David J, Thalamuthu, Anbupalam, Trollor, Julian, Tzourio, Christophe, van der Grond, Jeroen, Vernooij, Meike W, Witte, Veronica A, Wright, Margaret J, Yang, Qiong, Morris, Zoe, Siggurdsson, Siggi, Psaty, Bruce, Villringer, Arno, Schmidt, Helena, Haberg, Asta K, van Duijn, Cornelia M, Jukema, J Wouter, Dichgans, Martin, Sacco, Ralph L, Wright, Clinton B, Kremen, William S, Becker, Lewis C, Thompson, Paul M, Mosley, Thomas H, Wardlaw, Joanna M, Ikram, M Arfan, Adams, Hieab HH, Seshadri, Sudha, Sachdev, Perminder S, Smith, Stephen M, Launer, Lenore, Longstreth, William, DeCarli, Charles, Schmidt, Reinhold, Fornage, Myriam, Debette, Stephanie, and Nyquist, Paul A

Subjects
Epidemiology, Health Sciences, Dementia, Acquired Cognitive Impairment, Aging, Neurosciences, Genetics, Stroke, Brain Disorders, Biotechnology, Clinical Research, Human Genome, Prevention, Aetiology, 2.1 Biological and endogenous factors, Neurological, Aged, Brain, Cerebral Small Vessel Diseases, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Middle Aged, White Matter, brain, genome-wide association study, neuroimaging, risk factors, white matter, Cardiorespiratory Medicine and Haematology, Clinical Sciences, Neurology & Neurosurgery, Clinical sciences, Allied health and rehabilitation science
Abstract

Background and purposePeriventricular white matter hyperintensities (WMH; PVWMH) and deep WMH (DWMH) are regional classifications of WMH and reflect proposed differences in cause. In the first study, to date, we undertook genome-wide association analyses of DWMH and PVWMH to show that these phenotypes have different genetic underpinnings.MethodsParticipants were aged 45 years and older, free of stroke and dementia. We conducted genome-wide association analyses of PVWMH and DWMH in 26,654 participants from CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology), ENIGMA (Enhancing Neuro-Imaging Genetics Through Meta-Analysis), and the UKB (UK Biobank). Regional correlations were investigated using the genome-wide association analyses -pairwise method. Cross-trait genetic correlations between PVWMH, DWMH, stroke, and dementia were estimated using LDSC.ResultsIn the discovery and replication analysis, for PVWMH only, we found associations on chromosomes 2 (NBEAL), 10q23.1 (TSPAN14/FAM231A), and 10q24.33 (SH3PXD2A). In the much larger combined meta-analysis of all cohorts, we identified ten significant regions for PVWMH: chromosomes 2 (3 regions), 6, 7, 10 (2 regions), 13, 16, and 17q23.1. New loci of interest include 7q36.1 (NOS3) and 16q24.2. In both the discovery/replication and combined analysis, we found genome-wide significant associations for the 17q25.1 locus for both DWMH and PVWMH. Using gene-based association analysis, 19 genes across all regions were identified for PVWMH only, including the new genes: CALCRL (2q32.1), KLHL24 (3q27.1), VCAN (5q27.1), and POLR2F (22q13.1). Thirteen genes in the 17q25.1 locus were significant for both phenotypes. More extensive genetic correlations were observed for PVWMH with small vessel ischemic stroke. There were no associations with dementia for either phenotype.ConclusionsOur study confirms these phenotypes have distinct and also shared genetic architectures. Genetic analyses indicated PVWMH was more associated with ischemic stroke whilst DWMH loci were implicated in vascular, astrocyte, and neuronal function. Our study confirms these phenotypes are distinct neuroimaging classifications and identifies new candidate genes associated with PVWMH only.

Published
2020

8. Multi-ancestry GWAS of the electrocardiographic PR interval identifies 202 loci underlying cardiac conduction.

Author

Ntalla, Ioanna, Weng, Lu-Chen, Cartwright, James H, Hall, Amelia Weber, Sveinbjornsson, Gardar, Tucker, Nathan R, Choi, Seung Hoan, Chaffin, Mark D, Roselli, Carolina, Barnes, Michael R, Mifsud, Borbala, Warren, Helen R, Hayward, Caroline, Marten, Jonathan, Cranley, James J, Concas, Maria Pina, Gasparini, Paolo, Boutin, Thibaud, Kolcic, Ivana, Polasek, Ozren, Rudan, Igor, Araujo, Nathalia M, Lima-Costa, Maria Fernanda, Ribeiro, Antonio Luiz P, Souza, Renan P, Tarazona-Santos, Eduardo, Giedraitis, Vilmantas, Ingelsson, Erik, Mahajan, Anubha, Morris, Andrew P, Del Greco M, Fabiola, Foco, Luisa, Gögele, Martin, Hicks, Andrew A, Cook, James P, Lind, Lars, Lindgren, Cecilia M, Sundström, Johan, Nelson, Christopher P, Riaz, Muhammad B, Samani, Nilesh J, Sinagra, Gianfranco, Ulivi, Sheila, Kähönen, Mika, Mishra, Pashupati P, Mononen, Nina, Nikus, Kjell, Caulfield, Mark J, Dominiczak, Anna, Padmanabhan, Sandosh, Montasser, May E, O'Connell, Jeff R, Ryan, Kathleen, Shuldiner, Alan R, Aeschbacher, Stefanie, Conen, David, Risch, Lorenz, Thériault, Sébastien, Hutri-Kähönen, Nina, Lehtimäki, Terho, Lyytikäinen, Leo-Pekka, Raitakari, Olli T, Barnes, Catriona LK, Campbell, Harry, Joshi, Peter K, Wilson, James F, Isaacs, Aaron, Kors, Jan A, van Duijn, Cornelia M, Huang, Paul L, Gudnason, Vilmundur, Harris, Tamara B, Launer, Lenore J, Smith, Albert V, Bottinger, Erwin P, Loos, Ruth JF, Nadkarni, Girish N, Preuss, Michael H, Correa, Adolfo, Mei, Hao, Wilson, James, Meitinger, Thomas, Müller-Nurasyid, Martina, Peters, Annette, Waldenberger, Melanie, Mangino, Massimo, Spector, Timothy D, Rienstra, Michiel, van de Vegte, Yordi J, van der Harst, Pim, Verweij, Niek, Kääb, Stefan, Schramm, Katharina, Sinner, Moritz F, Strauch, Konstantin, Cutler, Michael J, Fatkin, Diane, London, Barry, Olesen, Morten, and Roden, Dan M

Subjects
Humans, Cardiovascular Diseases, Genetic Predisposition to Disease, Electrocardiography, Gene Expression, Multifactorial Inheritance, Quantitative Trait Loci, Female, Male, Arrhythmias, Cardiac, Genetic Variation, Genome-Wide Association Study, Genetic Loci, Endophenotypes, Arrhythmias, Cardiac
Abstract

The electrocardiographic PR interval reflects atrioventricular conduction, and is associated with conduction abnormalities, pacemaker implantation, atrial fibrillation (AF), and cardiovascular mortality. Here we report a multi-ancestry (N = 293,051) genome-wide association meta-analysis for the PR interval, discovering 202 loci of which 141 have not previously been reported. Variants at identified loci increase the percentage of heritability explained, from 33.5% to 62.6%. We observe enrichment for cardiac muscle developmental/contractile and cytoskeletal genes, highlighting key regulation processes for atrioventricular conduction. Additionally, 8 loci not previously reported harbor genes underlying inherited arrhythmic syndromes and/or cardiomyopathies suggesting a role for these genes in cardiovascular pathology in the general population. We show that polygenic predisposition to PR interval duration is an endophenotype for cardiovascular disease, including distal conduction disease, AF, and atrioventricular pre-excitation. These findings advance our understanding of the polygenic basis of cardiac conduction, and the genetic relationship between PR interval duration and cardiovascular disease.

Published
2020

9. Smoking-by-genotype interaction in type 2 diabetes risk and fasting glucose

Author

Wu, Peitao, Rybin, Denis, Bielak, Lawrence F, Feitosa, Mary F, Franceschini, Nora, Li, Yize, Lu, Yingchang, Marten, Jonathan, Musani, Solomon K, Noordam, Raymond, Raghavan, Sridharan, Rose, Lynda M, Schwander, Karen, Smith, Albert V, Tajuddin, Salman M, Vojinovic, Dina, Amin, Najaf, Arnett, Donna K, Bottinger, Erwin P, Demirkan, Ayse, Florez, Jose C, Ghanbari, Mohsen, Harris, Tamara B, Launer, Lenore J, Liu, Jingmin, Liu, Jun, Mook-Kanamori, Dennis O, Murray, Alison D, Nalls, Mike A, Peyser, Patricia A, Uitterlinden, André G, Voortman, Trudy, Bouchard, Claude, Chasman, Daniel, Correa, Adolfo, de Mutsert, Renée, Evans, Michele K, Gudnason, Vilmundur, Hayward, Caroline, Kao, Linda, Kardia, Sharon LR, Kooperberg, Charles, Loos, Ruth JF, Province, Michael M, Rankinen, Tuomo, Redline, Susan, Ridker, Paul M, Rotter, Jerome I, Siscovick, David, Smith, Blair H, van Duijn, Cornelia, Zonderman, Alan B, Rao, DC, Wilson, James G, Dupuis, Josée, Meigs, James B, Liu, Ching-Ti, and Vassy, Jason L

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Epidemiology, Health Sciences, Pharmacology and Pharmaceutical Sciences, Tobacco, Aging, Tobacco Smoke and Health, Human Genome, Nutrition, Diabetes, Clinical Research, Prevention, Aetiology, 2.1 Biological and endogenous factors, Good Health and Well Being, Adult, Aged, Black People, Blood Glucose, Cigarette Smoking, Cohort Studies, Diabetes Mellitus, Type 2, Fasting, Feasibility Studies, Female, Genetic Loci, Genome-Wide Association Study, Genotype, Humans, Incidence, Male, Middle Aged, Polymorphism, Single Nucleotide, Risk, White People, General Science & Technology
Abstract

Smoking is a potentially causal behavioral risk factor for type 2 diabetes (T2D), but not all smokers develop T2D. It is unknown whether genetic factors partially explain this variation. We performed genome-environment-wide interaction studies to identify loci exhibiting potential interaction with baseline smoking status (ever vs. never) on incident T2D and fasting glucose (FG). Analyses were performed in participants of European (EA) and African ancestry (AA) separately. Discovery analyses were conducted using genotype data from the 50,000-single-nucleotide polymorphism (SNP) ITMAT-Broad-CARe (IBC) array in 5 cohorts from from the Candidate Gene Association Resource Consortium (n = 23,189). Replication was performed in up to 16 studies from the Cohorts for Heart Aging Research in Genomic Epidemiology Consortium (n = 74,584). In meta-analysis of discovery and replication estimates, 5 SNPs met at least one criterion for potential interaction with smoking on incident T2D at p

Published
2020

10. Genome-Wide Association Study of Apparent Treatment-Resistant Hypertension in the CHARGE Consortium: The CHARGE Pharmacogenetics Working Group

Author

Irvin, Marguerite R, Sitlani, Colleen M, Floyd, James S, Psaty, Bruce M, Bis, Joshua C, Wiggins, Kerri L, Whitsel, Eric A, Sturmer, Til, Stewart, James, Raffield, Laura, Sun, Fangui, Liu, Ching-Ti, Xu, Hanfei, Cupples, Adrienne L, Tanner, Rikki M, Rossing, Peter, Smith, Albert, Zilhão, Nuno R, Launer, Lenore J, Noordam, Raymond, Rotter, Jerome I, Yao, Jie, Li, Xiaohui, Guo, Xiuqing, Limdi, Nita, Sundaresan, Aishwarya, Lange, Leslie, Correa, Adolfo, Stott, David J, Ford, Ian, Jukema, J Wouter, Gudnason, Vilmundur, Mook-Kanamori, Dennis O, Trompet, Stella, Palmas, Walter, Warren, Helen R, Hellwege, Jacklyn N, Giri, Ayush, O'donnell, Christopher, Hung, Adriana M, Edwards, Todd L, Ahluwalia, Tarunveer S, Arnett, Donna K, and Avery, Christy L

Subjects
Human Genome, Cardiovascular, Genetics, Hypertension, Clinical Research, Black or African American, Aged, Antihypertensive Agents, Blood Pressure, Case-Control Studies, DNA (Cytosine-5-)-Methyltransferases, DNA Methyltransferase 3A, DNA-Binding Proteins, Drug Resistance, Dystrophin-Associated Proteins, Europe, Female, Genetic Loci, Genome-Wide Association Study, Humans, Male, Middle Aged, Myosin Heavy Chains, Myosin Type V, Neuropeptides, Pharmacogenetics, Pharmacogenomic Variants, Polymorphism, Single Nucleotide, Risk Assessment, Risk Factors, Transcription Factors, United States, White People, blood pressure, hypertension, genome-wide association study, severe hypertension, treatment-resistant hypertension, Clinical Sciences, Cardiovascular System & Hematology
Abstract

BackgroundOnly a handful of genetic discovery efforts in apparent treatment-resistant hypertension (aTRH) have been described.MethodsWe conducted a case-control genome-wide association study of aTRH among persons treated for hypertension, using data from 10 cohorts of European ancestry (EA) and 5 cohorts of African ancestry (AA). Cases were treated with 3 different antihypertensive medication classes and had blood pressure (BP) above goal (systolic BP ≥ 140 mm Hg and/or diastolic BP ≥ 90 mm Hg) or 4 or more medication classes regardless of BP control (nEA = 931, nAA = 228). Both a normotensive control group and a treatment-responsive control group were considered in separate analyses. Normotensive controls were untreated (nEA = 14,210, nAA = 2,480) and had systolic BP/diastolic BP < 140/90 mm Hg. Treatment-responsive controls (nEA = 5,266, nAA = 1,817) had BP at goal (

Published
2019

11. HDAC9 is implicated in atherosclerotic aortic calcification and affects vascular smooth muscle cell phenotype

Author

Malhotra, Rajeev, Mauer, Andreas C, Lino Cardenas, Christian L, Guo, Xiuqing, Yao, Jie, Zhang, Xiaoling, Wunderer, Florian, Smith, Albert V, Wong, Quenna, Pechlivanis, Sonali, Hwang, Shih-Jen, Wang, Judy, Lu, Lingyi, Nicholson, Christopher J, Shelton, Georgia, Buswell, Mary D, Barnes, Hanna J, Sigurslid, Haakon H, Slocum, Charles, Rourke, Caitlin O’, Rhee, David K, Bagchi, Aranya, Nigwekar, Sagar U, Buys, Emmanuel S, Campbell, Catherine Y, Harris, Tamara, Budoff, Matthew, Criqui, Michael H, Rotter, Jerome I, Johnson, Andrew D, Song, Ci, Franceschini, Nora, Debette, Stephanie, Hoffmann, Udo, Kälsch, Hagen, Nöthen, Markus M, Sigurdsson, Sigurdur, Freedman, Barry I, Bowden, Donald W, Jöckel, Karl-Heinz, Moebus, Susanne, Erbel, Raimund, Feitosa, Mary F, Gudnason, Vilmundur, Thanassoulis, George, Zapol, Warren M, Lindsay, Mark E, Bloch, Donald B, Post, Wendy S, and O’Donnell, Christopher J

Subjects
Biological Sciences, Genetics, Human Genome, Heart Disease - Coronary Heart Disease, Heart Disease, Cardiovascular, Aetiology, 2.1 Biological and endogenous factors, Aged, Animals, Aorta, Atherosclerosis, Cohort Studies, Female, GTPase-Activating Proteins, Genetic Predisposition to Disease, Genome-Wide Association Study, Histone Deacetylases, Humans, Male, Mice, Mice, Inbred C57BL, Mice, Knockout, Middle Aged, Muscle Contraction, Muscle, Smooth, Vascular, Phenotype, Polymorphism, Single Nucleotide, Repressor Proteins, Vascular Calcification, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Aortic calcification is an important independent predictor of future cardiovascular events. We performed a genome-wide association meta-analysis to determine SNPs associated with the extent of abdominal aortic calcification (n = 9,417) or descending thoracic aortic calcification (n = 8,422). Two genetic loci, HDAC9 and RAP1GAP, were associated with abdominal aortic calcification at a genome-wide level (P

Published
2019

12. Multiancestry Genome-Wide Association Study of Lipid Levels Incorporating Gene-Alcohol Interactions

Author

de Vries, Paul S, Brown, Michael R, Bentley, Amy R, Sung, Yun J, Winkler, Thomas W, Ntalla, Ioanna, Schwander, Karen, Kraja, Aldi T, Guo, Xiuqing, Franceschini, Nora, Cheng, Ching-Yu, Sim, Xueling, Vojinovic, Dina, Huffman, Jennifer E, Musani, Solomon K, Li, Changwei, Feitosa, Mary F, Richard, Melissa A, Noordam, Raymond, Aschard, Hugues, Bartz, Traci M, Bielak, Lawrence F, Deng, Xuan, Dorajoo, Rajkumar, Lohman, Kurt K, Manning, Alisa K, Rankinen, Tuomo, Smith, Albert V, Tajuddin, Salman M, Evangelou, Evangelos, Graff, Mariaelisa, Alver, Maris, Boissel, Mathilde, Chai, Jin Fang, Chen, Xu, Divers, Jasmin, Gandin, Ilaria, Gao, Chuan, Goel, Anuj, Hagemeijer, Yanick, Harris, Sarah E, Hartwig, Fernando P, He, Meian, Horimoto, Andrea RVR, Hsu, Fang-Chi, Jackson, Anne U, Kasturiratne, Anuradhani, Komulainen, Pirjo, Kühnel, Brigitte, Laguzzi, Federica, Lee, Joseph H, Luan, Jian'an, Lyytikäinen, Leo-Pekka, Matoba, Nana, Nolte, Ilja M, Pietzner, Maik, Riaz, Muhammad, Said, M Abdullah, Scott, Robert A, Sofer, Tamar, Stančáková, Alena, Takeuchi, Fumihiko, Tayo, Bamidele O, van der Most, Peter J, Varga, Tibor V, Wang, Yajuan, Ware, Erin B, Wen, Wanqing, Yanek, Lisa R, Zhang, Weihua, Zhao, Jing Hua, Afaq, Saima, Amin, Najaf, Amini, Marzyeh, Arking, Dan E, Aung, Tin, Ballantyne, Christie, Boerwinkle, Eric, Broeckel, Ulrich, Campbell, Archie, Canouil, Mickaël, Charumathi, Sabanayagam, Chen, Yii-Der Ida, Connell, John M, de Faire, Ulf, de las Fuentes, Lisa, de Mutsert, Renée, de Silva, H Janaka, Ding, Jingzhong, Dominiczak, Anna F, Duan, Qing, Eaton, Charles B, Eppinga, Ruben N, Faul, Jessica D, Fisher, Virginia, Forrester, Terrence, Franco, Oscar H, Friedlander, Yechiel, Ghanbari, Mohsen, and Giulianini, Franco

Subjects
Epidemiology, Health Sciences, Substance Misuse, Alcoholism, Alcohol Use and Health, Human Genome, Prevention, Genetics, Aetiology, 2.1 Biological and endogenous factors, Cardiovascular, Adolescent, Adult, Aged, Alcohol Drinking, Cholesterol, HDL, Cholesterol, LDL, Female, Genome-Wide Association Study, Genotype, Humans, Life Style, Lipids, Male, Middle Aged, Phenotype, Racial Groups, Triglycerides, Vascular Endothelial Growth Factor B, Young Adult, alcohol consumption, cholesterol, gene-environment interactions, gene-lifestyle interactions, genome-wide association studies, lipids, triglycerides, InterAct Consortium, Lifelines Cohort, Groningen, The Netherlands, Mathematical Sciences, Medical and Health Sciences
Abstract

A person's lipid profile is influenced by genetic variants and alcohol consumption, but the contribution of interactions between these exposures has not been studied. We therefore incorporated gene-alcohol interactions into a multiancestry genome-wide association study of levels of high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and triglycerides. We included 45 studies in stage 1 (genome-wide discovery) and 66 studies in stage 2 (focused follow-up), for a total of 394,584 individuals from 5 ancestry groups. Analyses covered the period July 2014-November 2017. Genetic main effects and interaction effects were jointly assessed by means of a 2-degrees-of-freedom (df) test, and a 1-df test was used to assess the interaction effects alone. Variants at 495 loci were at least suggestively associated (P < 1 × 10-6) with lipid levels in stage 1 and were evaluated in stage 2, followed by combined analyses of stage 1 and stage 2. In the combined analysis of stages 1 and 2, a total of 147 independent loci were associated with lipid levels at P < 5 × 10-8 using 2-df tests, of which 18 were novel. No genome-wide-significant associations were found testing the interaction effect alone. The novel loci included several genes (proprotein convertase subtilisin/kexin type 5 (PCSK5), vascular endothelial growth factor B (VEGFB), and apolipoprotein B mRNA editing enzyme, catalytic polypeptide 1 (APOBEC1) complementation factor (A1CF)) that have a putative role in lipid metabolism on the basis of existing evidence from cellular and experimental models.

Published
2019

13. Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing

Author

Kunkle, Brian W, Grenier-Boley, Benjamin, Sims, Rebecca, Bis, Joshua C, Damotte, Vincent, Naj, Adam C, Boland, Anne, Vronskaya, Maria, van der Lee, Sven J, Amlie-Wolf, Alexandre, Bellenguez, Céline, Frizatti, Aura, Chouraki, Vincent, Martin, Eden R, Sleegers, Kristel, Badarinarayan, Nandini, Jakobsdottir, Johanna, Hamilton-Nelson, Kara L, Moreno-Grau, Sonia, Olaso, Robert, Raybould, Rachel, Chen, Yuning, Kuzma, Amanda B, Hiltunen, Mikko, Morgan, Taniesha, Ahmad, Shahzad, Vardarajan, Badri N, Epelbaum, Jacques, Hoffmann, Per, Boada, Merce, Beecham, Gary W, Garnier, Jean-Guillaume, Harold, Denise, Fitzpatrick, Annette L, Valladares, Otto, Moutet, Marie-Laure, Gerrish, Amy, Smith, Albert V, Qu, Liming, Bacq, Delphine, Denning, Nicola, Jian, Xueqiu, Zhao, Yi, Del Zompo, Maria, Fox, Nick C, Choi, Seung-Hoan, Mateo, Ignacio, Hughes, Joseph T, Adams, Hieab H, Malamon, John, Sanchez-Garcia, Florentino, Patel, Yogen, Brody, Jennifer A, Dombroski, Beth A, Naranjo, Maria Candida Deniz, Daniilidou, Makrina, Eiriksdottir, Gudny, Mukherjee, Shubhabrata, Wallon, David, Uphill, James, Aspelund, Thor, Cantwell, Laura B, Garzia, Fabienne, Galimberti, Daniela, Hofer, Edith, Butkiewicz, Mariusz, Fin, Bertrand, Scarpini, Elio, Sarnowski, Chloe, Bush, Will S, Meslage, Stéphane, Kornhuber, Johannes, White, Charles C, Song, Yuenjoo, Barber, Robert C, Engelborghs, Sebastiaan, Sordon, Sabrina, Voijnovic, Dina, Adams, Perrie M, Vandenberghe, Rik, Mayhaus, Manuel, Cupples, L Adrienne, Albert, Marilyn S, De Deyn, Peter P, Gu, Wei, Himali, Jayanadra J, Beekly, Duane, Squassina, Alessio, Hartmann, Annette M, Orellana, Adelina, Blacker, Deborah, Rodriguez-Rodriguez, Eloy, Lovestone, Simon, Garcia, Melissa E, Doody, Rachelle S, Munoz-Fernadez, Carmen, Sussams, Rebecca, Lin, Honghuang, Fairchild, Thomas J, and Benito, Yolanda A

Subjects
Biochemistry and Cell Biology, Genetics, Biological Sciences, Neurodegenerative, Dementia, Alzheimer's Disease, Aging, Prevention, Brain Disorders, Neurosciences, Clinical Research, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Human Genome, Acquired Cognitive Impairment, 2.1 Biological and endogenous factors, Aetiology, Inflammatory and immune system, Neurological, Aged, Alzheimer Disease, Amyloid beta-Peptides, Case-Control Studies, Female, Genetic Loci, Genetic Predisposition to Disease, Genetic Testing, Genome-Wide Association Study, Haplotypes, Humans, Immunity, Lipid Metabolism, Lipids, Male, tau Proteins, Alzheimer Disease Genetics Consortium (ADGC), European Alzheimer’s Disease Initiative (EADI), Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium (CHARGE), Genetic and Environmental Risk in AD/Defining Genetic, Polygenic and Environmental Risk for Alzheimer’s Disease Consortium (GERAD/PERADES), Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Risk for late-onset Alzheimer's disease (LOAD), the most prevalent dementia, is partially driven by genetics. To identify LOAD risk loci, we performed a large genome-wide association meta-analysis of clinically diagnosed LOAD (94,437 individuals). We confirm 20 previous LOAD risk loci and identify five new genome-wide loci (IQCK, ACE, ADAM10, ADAMTS1, and WWOX), two of which (ADAM10, ACE) were identified in a recent genome-wide association (GWAS)-by-familial-proxy of Alzheimer's or dementia. Fine-mapping of the human leukocyte antigen (HLA) region confirms the neurological and immune-mediated disease haplotype HLA-DR15 as a risk factor for LOAD. Pathway analysis implicates immunity, lipid metabolism, tau binding proteins, and amyloid precursor protein (APP) metabolism, showing that genetic variants affecting APP and Aβ processing are associated not only with early-onset autosomal dominant Alzheimer's disease but also with LOAD. Analyses of risk genes and pathways show enrichment for rare variants (P = 1.32 × 10-7), indicating that additional rare variants remain to be identified. We also identify important genetic correlations between LOAD and traits such as family history of dementia and education.

Published
2019

14. Genome-wide meta-analysis of SNP-by9-ACEI/ARB and SNP-by-thiazide diuretic and effect on serum potassium in cohorts of European and African ancestry

Author

Irvin, Marguerite R, Sitlani, Colleen M, Noordam, Raymond, Avery, Christie L, Bis, Joshua C, Floyd, James S, Li, Jin, Limdi, Nita A, Srinivasasainagendra, Vinodh, Stewart, James, de Mutsert, Renée, Mook-Kanamori, Dennis O, Lipovich, Leonard, Kleinbrink, Erica L, Smith, Albert, Bartz, Traci M, Whitsel, Eric A, Uitterlinden, Andre G, Wiggins, Kerri L, Wilson, James G, Zhi, Degui, Stricker, Bruno H, Rotter, Jerome I, Arnett, Donna K, Psaty, Bruce M, and Lange, Leslie A

Subjects
Pharmacology and Pharmaceutical Sciences, Biomedical and Clinical Sciences, Prevention, Genetics, Black or African American, Aged, Antihypertensive Agents, Chromosomes, Human, Pair 5, Europe, Female, Genome-Wide Association Study, Genotype, Humans, Male, Middle Aged, Peptidyl-Dipeptidase A, Polymorphism, Single Nucleotide, Potassium, Sodium Chloride Symporter Inhibitors, White People, Pharmacology & Pharmacy, Pharmacology and pharmaceutical sciences
Abstract

We evaluated interactions of SNP-by-ACE-I/ARB and SNP-by-TD on serum potassium (K+) among users of antihypertensive treatments (anti-HTN). Our study included seven European-ancestry (EA) (N = 4835) and four African-ancestry (AA) cohorts (N = 2016). We performed race-stratified, fixed-effect, inverse-variance-weighted meta-analyses of 2.5 million SNP-by-drug interaction estimates; race-combined meta-analysis; and trans-ethnic fine-mapping. Among EAs, we identified 11 significant SNPs (P

Published
2019

15. Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity.

Author

Kilpeläinen, Tuomas O, Bentley, Amy R, Noordam, Raymond, Sung, Yun Ju, Schwander, Karen, Winkler, Thomas W, Jakupović, Hermina, Chasman, Daniel I, Manning, Alisa, Ntalla, Ioanna, Aschard, Hugues, Brown, Michael R, de Las Fuentes, Lisa, Franceschini, Nora, Guo, Xiuqing, Vojinovic, Dina, Aslibekyan, Stella, Feitosa, Mary F, Kho, Minjung, Musani, Solomon K, Richard, Melissa, Wang, Heming, Wang, Zhe, Bartz, Traci M, Bielak, Lawrence F, Campbell, Archie, Dorajoo, Rajkumar, Fisher, Virginia, Hartwig, Fernando P, Horimoto, Andrea RVR, Li, Changwei, Lohman, Kurt K, Marten, Jonathan, Sim, Xueling, Smith, Albert V, Tajuddin, Salman M, Alver, Maris, Amini, Marzyeh, Boissel, Mathilde, Chai, Jin Fang, Chen, Xu, Divers, Jasmin, Evangelou, Evangelos, Gao, Chuan, Graff, Mariaelisa, Harris, Sarah E, He, Meian, Hsu, Fang-Chi, Jackson, Anne U, Zhao, Jing Hua, Kraja, Aldi T, Kühnel, Brigitte, Laguzzi, Federica, Lyytikäinen, Leo-Pekka, Nolte, Ilja M, Rauramaa, Rainer, Riaz, Muhammad, Robino, Antonietta, Rueedi, Rico, Stringham, Heather M, Takeuchi, Fumihiko, van der Most, Peter J, Varga, Tibor V, Verweij, Niek, Ware, Erin B, Wen, Wanqing, Li, Xiaoyin, Yanek, Lisa R, Amin, Najaf, Arnett, Donna K, Boerwinkle, Eric, Brumat, Marco, Cade, Brian, Canouil, Mickaël, Chen, Yii-Der Ida, Concas, Maria Pina, Connell, John, de Mutsert, Renée, de Silva, H Janaka, de Vries, Paul S, Demirkan, Ayşe, Ding, Jingzhong, Eaton, Charles B, Faul, Jessica D, Friedlander, Yechiel, Gabriel, Kelley P, Ghanbari, Mohsen, Giulianini, Franco, Gu, Chi Charles, Gu, Dongfeng, Harris, Tamara B, He, Jiang, Heikkinen, Sami, Heng, Chew-Kiat, Hunt, Steven C, Ikram, M Arfan, Jonas, Jost B, Koh, Woon-Puay, Komulainen, Pirjo, and Krieger, Jose E

Subjects
Lifelines Cohort Study, Humans, Cholesterol, Lipids, Triglycerides, Calcium-Binding Proteins, Muscle Proteins, Microtubule-Associated Proteins, Membrane Proteins, Nerve Tissue Proteins, Transcription Factors, Exercise, Genotype, Adolescent, Adult, Aged, Aged, 80 and over, Middle Aged, African Continental Ancestry Group, Asian Continental Ancestry Group, European Continental Ancestry Group, Hispanic Americans, Brazil, Female, Male, Lipid Metabolism, Cholesterol, LDL, Cholesterol, HDL, Genome-Wide Association Study, Young Adult, Genetic Loci, LIM-Homeodomain Proteins, and over, HDL, LDL
Abstract

Many genetic loci affect circulating lipid levels, but it remains unknown whether lifestyle factors, such as physical activity, modify these genetic effects. To identify lipid loci interacting with physical activity, we performed genome-wide analyses of circulating HDL cholesterol, LDL cholesterol, and triglyceride levels in up to 120,979 individuals of European, African, Asian, Hispanic, and Brazilian ancestry, with follow-up of suggestive associations in an additional 131,012 individuals. We find four loci, in/near CLASP1, LHX1, SNTA1, and CNTNAP2, that are associated with circulating lipid levels through interaction with physical activity; higher levels of physical activity enhance the HDL cholesterol-increasing effects of the CLASP1, LHX1, and SNTA1 loci and attenuate the LDL cholesterol-increasing effect of the CNTNAP2 locus. The CLASP1, LHX1, and SNTA1 regions harbor genes linked to muscle function and lipid metabolism. Our results elucidate the role of physical activity interactions in the genetic contribution to blood lipid levels.

Published
2019

16. Exome-chip meta-analysis identifies novel loci associated with cardiac conduction, including ADAMTS6

Author

Prins, Bram P, Mead, Timothy J, Brody, Jennifer A, Sveinbjornsson, Gardar, Ntalla, Ioanna, Bihlmeyer, Nathan A, van den Berg, Marten, Bork-Jensen, Jette, Cappellani, Stefania, Van Duijvenboden, Stefan, Klena, Nikolai T, Gabriel, George C, Liu, Xiaoqin, Gulec, Cagri, Grarup, Niels, Haessler, Jeffrey, Hall, Leanne M, Iorio, Annamaria, Isaacs, Aaron, Li-Gao, Ruifang, Lin, Honghuang, Liu, Ching-Ti, Lyytikäinen, Leo-Pekka, Marten, Jonathan, Mei, Hao, Müller-Nurasyid, Martina, Orini, Michele, Padmanabhan, Sandosh, Radmanesh, Farid, Ramirez, Julia, Robino, Antonietta, Schwartz, Molly, van Setten, Jessica, Smith, Albert V, Verweij, Niek, Warren, Helen R, Weiss, Stefan, Alonso, Alvaro, Arnar, David O, Bots, Michiel L, de Boer, Rudolf A, Dominiczak, Anna F, Eijgelsheim, Mark, Ellinor, Patrick T, Guo, Xiuqing, Felix, Stephan B, Harris, Tamara B, Hayward, Caroline, Heckbert, Susan R, Huang, Paul L, Jukema, JW, Kähönen, Mika, Kors, Jan A, Lambiase, Pier D, Launer, Lenore J, Li, Man, Linneberg, Allan, Nelson, Christopher P, Pedersen, Oluf, Perez, Marco, Peters, Annette, Polasek, Ozren, Psaty, Bruce M, Raitakari, Olli T, Rice, Kenneth M, Rotter, Jerome I, Sinner, Moritz F, Soliman, Elsayed Z, Spector, Tim D, Strauch, Konstantin, Thorsteinsdottir, Unnur, Tinker, Andrew, Trompet, Stella, Uitterlinden, André, Vaartjes, Ilonca, van der Meer, Peter, Völker, Uwe, Völzke, Henry, Waldenberger, Melanie, Wilson, James G, Xie, Zhijun, Asselbergs, Folkert W, Dörr, Marcus, van Duijn, Cornelia M, Gasparini, Paolo, Gudbjartsson, Daniel F, Gudnason, Vilmundur, Hansen, Torben, Kääb, Stefan, Kanters, Jørgen K, Kooperberg, Charles, Lehtimäki, Terho, Lin, Henry J, Lubitz, Steven A, Mook-Kanamori, Dennis O, Conti, Francesco J, Newton-Cheh, Christopher H, Rosand, Jonathan, Rudan, Igor, and Samani, Nilesh J

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Human Genome, Heart Disease, Cardiovascular, 2.1 Biological and endogenous factors, Aetiology, ADAMTS Proteins, Animals, Black People, Connexin 43, Electrocardiography, Exome, Female, Gene Expression, Gene Expression Profiling, Genetic Loci, Genome-Wide Association Study, Heart Conduction System, Humans, Male, Mice, Middle Aged, Myocardium, Open Reading Frames, Polymorphism, Single Nucleotide, White People, Exome Sequencing, Exome chip, Conduction, ADAMTS6, Meta-analysis, Environmental Sciences, Information and Computing Sciences, Bioinformatics
Abstract

BackgroundGenome-wide association studies conducted on QRS duration, an electrocardiographic measurement associated with heart failure and sudden cardiac death, have led to novel biological insights into cardiac function. However, the variants identified fall predominantly in non-coding regions and their underlying mechanisms remain unclear.ResultsHere, we identify putative functional coding variation associated with changes in the QRS interval duration by combining Illumina HumanExome BeadChip genotype data from 77,898 participants of European ancestry and 7695 of African descent in our discovery cohort, followed by replication in 111,874 individuals of European ancestry from the UK Biobank and deCODE cohorts. We identify ten novel loci, seven within coding regions, including ADAMTS6, significantly associated with QRS duration in gene-based analyses. ADAMTS6 encodes a secreted metalloprotease of currently unknown function. In vitro validation analysis shows that the QRS-associated variants lead to impaired ADAMTS6 secretion and loss-of function analysis in mice demonstrates a previously unappreciated role for ADAMTS6 in connexin 43 gap junction expression, which is essential for myocardial conduction.ConclusionsOur approach identifies novel coding and non-coding variants underlying ventricular depolarization and provides a possible mechanism for the ADAMTS6-associated conduction changes.

Published
2018

17. Meta-analysis across Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium provides evidence for an association of serum vitamin D with pulmonary function

Author

Xu, Jiayi, Bartz, Traci M, Chittoor, Geetha, Eiriksdottir, Gudny, Manichaikul, Ani W, Sun, Fangui, Terzikhan, Natalie, Zhou, Xia, Booth, Sarah L, Brusselle, Guy G, de Boer, Ian H, Fornage, Myriam, Frazier-Wood, Alexis C, Graff, Mariaelisa, Gudnason, Vilmundur, Harris, Tamara B, Hofman, Albert, Hou, Ruixue, Houston, Denise K, Jacobs, David R, Kritchevsky, Stephen B, Latourelle, Jeanne, Lemaitre, Rozenn N, Lutsey, Pamela L, O’Connor, George, Oelsner, Elizabeth C, Pankow, James S, Psaty, Bruce M, Rohde, Rebecca R, Rich, Stephen S, Rotter, Jerome I, Smith, Lewis J, Stricker, Bruno H, Voruganti, V Saroja, Wang, Thomas J, Zillikens, M Carola, Barr, R Graham, Dupuis, Josée, Gharib, Sina A, Lahousse, Lies, London, Stephanie J, North, Kari E, Smith, Albert V, Steffen, Lyn M, Hancock, Dana B, and Cassano, Patricia A

Subjects
Biomedical and Clinical Sciences, Nutrition and Dietetics, Complementary and Integrative Health, Aging, Clinical Research, Adult, Aged, Black People, Cross-Sectional Studies, Female, Forced Expiratory Volume, Genome, Human, Heart, Heart Diseases, Humans, Lung, Lung Diseases, Male, Middle Aged, Molecular Epidemiology, Prospective Studies, Regression Analysis, Respiratory Function Tests, Smoking, Vital Capacity, Vitamin D, White People, 1, 25(OH)D 25-hydroxyvitamin D, AA African ancestry, AGES Age, ARIC Atherosclerosis Risk in Communities Study, Aging, CARDIA Coronary Artery Risk Development in Young Adults Study, CHARGE Cohorts for Heart and Aging Research in Genomic Epidemiology, CHS Cardiovascular Health Study, COPD chronic obstructive pulmonary disease, EA European ancestry, Environment, FEV1 forced expiratory volume in the 1st second, FHS (Gen3) Framingham Heart Study – Generation 3 Cohort, FHS (Offspring) Framingham Heart Study –Offspring Cohort, FVC forced vital capacity, Gene, HABC Health, Iceland, MESA Multi-Ethnic Study of Atherosclerosis, PFT pulmonary function test, RIA radioimmunoassay, Susceptibility Study − Reykjavik, and Body Composition Study, 25-(OH)2D 1, 25-dihydroxyvitamin D, African Americans, Forced expiratory volume, Respiratory function tests, Vital capacity, Whites, Animal Production, Food Sciences, Nutrition & Dietetics, Animal production, Food sciences, Nutrition and dietetics
Abstract

The role that vitamin D plays in pulmonary function remains uncertain. Epidemiological studies reported mixed findings for serum 25-hydroxyvitamin D (25(OH)D)-pulmonary function association. We conducted the largest cross-sectional meta-analysis of the 25(OH)D-pulmonary function association to date, based on nine European ancestry (EA) cohorts (n 22 838) and five African ancestry (AA) cohorts (n 4290) in the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium. Data were analysed using linear models by cohort and ancestry. Effect modification by smoking status (current/former/never) was tested. Results were combined using fixed-effects meta-analysis. Mean serum 25(OH)D was 68 (sd 29) nmol/l for EA and 49 (sd 21) nmol/l for AA. For each 1 nmol/l higher 25(OH)D, forced expiratory volume in the 1st second (FEV1) was higher by 1·1 ml in EA (95 % CI 0·9, 1·3; P

Published
2018

18. Genome Analyses of >200,000 Individuals Identify 58 Loci for Chronic Inflammation and Highlight Pathways that Link Inflammation and Complex Disorders

Author

Ligthart, Symen, Vaez, Ahmad, Võsa, Urmo, Stathopoulou, Maria G, de Vries, Paul S, Prins, Bram P, Van der Most, Peter J, Tanaka, Toshiko, Naderi, Elnaz, Rose, Lynda M, Wu, Ying, Karlsson, Robert, Barbalic, Maja, Lin, Honghuang, Pool, René, Zhu, Gu, Macé, Aurélien, Sidore, Carlo, Trompet, Stella, Mangino, Massimo, Sabater-Lleal, Maria, Kemp, John P, Abbasi, Ali, Kacprowski, Tim, Verweij, Niek, Smith, Albert V, Huang, Tao, Marzi, Carola, Feitosa, Mary F, Lohman, Kurt K, Kleber, Marcus E, Milaneschi, Yuri, Mueller, Christian, Huq, Mahmudul, Vlachopoulou, Efthymia, Lyytikäinen, Leo-Pekka, Oldmeadow, Christopher, Deelen, Joris, Perola, Markus, Zhao, Jing Hua, Feenstra, Bjarke, Amini, Marzyeh, Lahti, Jari, Schraut, Katharina E, Fornage, Myriam, Suktitipat, Bhoom, Chen, Wei-Min, Li, Xiaohui, Nutile, Teresa, Malerba, Giovanni, Luan, Jian’an, Bak, Tom, Schork, Nicholas, Del Greco M., Fabiola, Thiering, Elisabeth, Mahajan, Anubha, Marioni, Riccardo E, Mihailov, Evelin, Eriksson, Johan, Ozel, Ayse Bilge, Zhang, Weihua, Nethander, Maria, Cheng, Yu-Ching, Aslibekyan, Stella, Ang, Wei, Gandin, Ilaria, Yengo, Loïc, Portas, Laura, Kooperberg, Charles, Hofer, Edith, Rajan, Kumar B, Schurmann, Claudia, Hollander, Wouter den, Ahluwalia, Tarunveer Singh, Zhao, Jing, Draisma, Harmen HM, Ford, Ian, Timpson, Nicholas, Teumer, Alexander, Huang, Hongyan, Wahl, Simone, Liu, YongMei, Huang, Jie, Uh, Hae-Won, Geller, Frank, Joshi, Peter K, Yanek, Lisa R, Trabetti, Elisabetta, Lehne, Benjamin, Vozzi, Diego, Verbanck, Marie, Biino, Ginevra, Saba, Yasaman, Meulenbelt, Ingrid, O’Connell, Jeff R, Laakso, Markku, Giulianini, Franco, Magnusson, Patrik KE, Ballantyne, Christie M, and Hottenga, Jouke Jan

Subjects
Epidemiology, Biological Sciences, Health Sciences, Genetics, Human Genome, Prevention, 2.1 Biological and endogenous factors, Aetiology, Inflammatory and immune system, Good Health and Well Being, Adolescent, Adult, Aged, Aged, 80 and over, Biomarkers, Bipolar Disorder, Body Mass Index, C-Reactive Protein, Child, Female, Genetic Loci, Genome-Wide Association Study, Humans, Inflammation, Liver, Male, Mendelian Randomization Analysis, Metabolic Networks and Pathways, Middle Aged, Schizophrenia, Young Adult, LifeLines Cohort Study, CHARGE Inflammation Working Group, C-reactive protein, DEPICT, Mendelian randomization, coronary artery disease, genome-wide association study, inflammation, inflammatory disorders, schizophrenia, system biology, Medical and Health Sciences, Genetics & Heredity, Biological sciences, Biomedical and clinical sciences, Health sciences
Abstract

C-reactive protein (CRP) is a sensitive biomarker of chronic low-grade inflammation and is associated with multiple complex diseases. The genetic determinants of chronic inflammation remain largely unknown, and the causal role of CRP in several clinical outcomes is debated. We performed two genome-wide association studies (GWASs), on HapMap and 1000 Genomes imputed data, of circulating amounts of CRP by using data from 88 studies comprising 204,402 European individuals. Additionally, we performed in silico functional analyses and Mendelian randomization analyses with several clinical outcomes. The GWAS meta-analyses of CRP revealed 58 distinct genetic loci (p < 5 × 10-8). After adjustment for body mass index in the regression analysis, the associations at all except three loci remained. The lead variants at the distinct loci explained up to 7.0% of the variance in circulating amounts of CRP. We identified 66 gene sets that were organized in two substantially correlated clusters, one mainly composed of immune pathways and the other characterized by metabolic pathways in the liver. Mendelian randomization analyses revealed a causal protective effect of CRP on schizophrenia and a risk-increasing effect on bipolar disorder. Our findings provide further insights into the biology of inflammation and could lead to interventions for treating inflammation and its clinical consequences.

Published
2018

19. Multiethnic meta-analysis identifies ancestry-specific and cross-ancestry loci for pulmonary function.

Author

Wyss, Annah B, Sofer, Tamar, Lee, Mi Kyeong, Terzikhan, Natalie, Nguyen, Jennifer N, Lahousse, Lies, Latourelle, Jeanne C, Smith, Albert Vernon, Bartz, Traci M, Feitosa, Mary F, Gao, Wei, Ahluwalia, Tarunveer S, Tang, Wenbo, Oldmeadow, Christopher, Duan, Qing, de Jong, Kim, Wojczynski, Mary K, Wang, Xin-Qun, Noordam, Raymond, Hartwig, Fernando Pires, Jackson, Victoria E, Wang, Tianyuan, Obeidat, Ma'en, Hobbs, Brian D, Huan, Tianxiao, Gui, Hongsheng, Parker, Margaret M, Hu, Donglei, Mogil, Lauren S, Kichaev, Gleb, Jin, Jianping, Graff, Mariaelisa, Harris, Tamara B, Kalhan, Ravi, Heckbert, Susan R, Paternoster, Lavinia, Burkart, Kristin M, Liu, Yongmei, Holliday, Elizabeth G, Wilson, James G, Vonk, Judith M, Sanders, Jason L, Barr, R Graham, de Mutsert, Renée, Menezes, Ana Maria Baptista, Adams, Hieab HH, van den Berge, Maarten, Joehanes, Roby, Levin, Albert M, Liberto, Jennifer, Launer, Lenore J, Morrison, Alanna C, Sitlani, Colleen M, Celedón, Juan C, Kritchevsky, Stephen B, Scott, Rodney J, Christensen, Kaare, Rotter, Jerome I, Bonten, Tobias N, Wehrmeister, Fernando César, Bossé, Yohan, Xiao, Shujie, Oh, Sam, Franceschini, Nora, Brody, Jennifer A, Kaplan, Robert C, Lohman, Kurt, McEvoy, Mark, Province, Michael A, Rosendaal, Frits R, Taylor, Kent D, Nickle, David C, Williams, L Keoki, Burchard, Esteban G, Wheeler, Heather E, Sin, Don D, Gudnason, Vilmundur, North, Kari E, Fornage, Myriam, Psaty, Bruce M, Myers, Richard H, O'Connor, George, Hansen, Torben, Laurie, Cathy C, Cassano, Patricia A, Sung, Joohon, Kim, Woo Jin, Attia, John R, Lange, Leslie, Boezen, H Marike, Thyagarajan, Bharat, Rich, Stephen S, Mook-Kanamori, Dennis O, Horta, Bernardo Lessa, Uitterlinden, André G, Im, Hae Kyung, Cho, Michael H, Brusselle, Guy G, and Gharib, Sina A

Subjects
Lung, Humans, Lung Diseases, Pulmonary Disease, Chronic Obstructive, Genetic Predisposition to Disease, Vital Capacity, Forced Expiratory Volume, Regression Analysis, Sample Size, Smoking, Genomics, Linkage Disequilibrium, Polymorphism, Single Nucleotide, Quantitative Trait Loci, African Continental Ancestry Group, Asian Americans, European Continental Ancestry Group, Hispanic Americans, Female, Male, Genome-Wide Association Study, Polymorphism, Single Nucleotide, Pulmonary Disease, Chronic Obstructive
Abstract

Nearly 100 loci have been identified for pulmonary function, almost exclusively in studies of European ancestry populations. We extend previous research by meta-analyzing genome-wide association studies of 1000 Genomes imputed variants in relation to pulmonary function in a multiethnic population of 90,715 individuals of European (N = 60,552), African (N = 8429), Asian (N = 9959), and Hispanic/Latino (N = 11,775) ethnicities. We identify over 50 additional loci at genome-wide significance in ancestry-specific or multiethnic meta-analyses. Using recent fine-mapping methods incorporating functional annotation, gene expression, and differences in linkage disequilibrium between ethnicities, we further shed light on potential causal variants and genes at known and newly identified loci. Several of the novel genes encode proteins with predicted or established drug targets, including KCNK2 and CDK12. Our study highlights the utility of multiethnic and integrative genomics approaches to extend existing knowledge of the genetics of lung function and clinical relevance of implicated loci.

Published
2018

20. Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes.

Author

Mahajan, Anubha, Wessel, Jennifer, Willems, Sara M, Zhao, Wei, Robertson, Neil R, Chu, Audrey Y, Gan, Wei, Kitajima, Hidetoshi, Taliun, Daniel, Rayner, N William, Guo, Xiuqing, Lu, Yingchang, Li, Man, Jensen, Richard A, Hu, Yao, Huo, Shaofeng, Lohman, Kurt K, Zhang, Weihua, Cook, James P, Prins, Bram Peter, Flannick, Jason, Grarup, Niels, Trubetskoy, Vassily Vladimirovich, Kravic, Jasmina, Kim, Young Jin, Rybin, Denis V, Yaghootkar, Hanieh, Müller-Nurasyid, Martina, Meidtner, Karina, Li-Gao, Ruifang, Varga, Tibor V, Marten, Jonathan, Li, Jin, Smith, Albert Vernon, An, Ping, Ligthart, Symen, Gustafsson, Stefan, Malerba, Giovanni, Demirkan, Ayse, Tajes, Juan Fernandez, Steinthorsdottir, Valgerdur, Wuttke, Matthias, Lecoeur, Cécile, Preuss, Michael, Bielak, Lawrence F, Graff, Marielisa, Highland, Heather M, Justice, Anne E, Liu, Dajiang J, Marouli, Eirini, Peloso, Gina Marie, Warren, Helen R, ExomeBP Consortium, MAGIC Consortium, GIANT Consortium, Afaq, Saima, Afzal, Shoaib, Ahlqvist, Emma, Almgren, Peter, Amin, Najaf, Bang, Lia B, Bertoni, Alain G, Bombieri, Cristina, Bork-Jensen, Jette, Brandslund, Ivan, Brody, Jennifer A, Burtt, Noël P, Canouil, Mickaël, Chen, Yii-Der Ida, Cho, Yoon Shin, Christensen, Cramer, Eastwood, Sophie V, Eckardt, Kai-Uwe, Fischer, Krista, Gambaro, Giovanni, Giedraitis, Vilmantas, Grove, Megan L, de Haan, Hugoline G, Hackinger, Sophie, Hai, Yang, Han, Sohee, Tybjærg-Hansen, Anne, Hivert, Marie-France, Isomaa, Bo, Jäger, Susanne, Jørgensen, Marit E, Jørgensen, Torben, Käräjämäki, Annemari, Kim, Bong-Jo, Kim, Sung Soo, Koistinen, Heikki A, Kovacs, Peter, Kriebel, Jennifer, Kronenberg, Florian, Läll, Kristi, Lange, Leslie A, Lee, Jung-Jin, Lehne, Benjamin, Li, Huaixing, and Lin, Keng-Hung

Subjects
ExomeBP Consortium, MAGIC Consortium, GIANT Consortium, Humans, Diabetes Mellitus, Type 2, Genetic Predisposition to Disease, Chromosome Mapping, Alleles, European Continental Ancestry Group, Female, Male, Genetic Variation, Genome-Wide Association Study, Whole Exome Sequencing, Diabetes Mellitus, Type 2, Developmental Biology, Biological Sciences, Medical and Health Sciences
Abstract

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

Published
2018

21. PR interval genome-wide association meta-analysis identifies 50 loci associated with atrial and atrioventricular electrical activity

Author

van Setten, Jessica, Brody, Jennifer A, Jamshidi, Yalda, Swenson, Brenton R, Butler, Anne M, Campbell, Harry, Del Greco, Fabiola M, Evans, Daniel S, Gibson, Quince, Gudbjartsson, Daniel F, Kerr, Kathleen F, Krijthe, Bouwe P, Lyytikäinen, Leo-Pekka, Müller, Christian, Müller-Nurasyid, Martina, Nolte, Ilja M, Padmanabhan, Sandosh, Ritchie, Marylyn D, Robino, Antonietta, Smith, Albert V, Steri, Maristella, Tanaka, Toshiko, Teumer, Alexander, Trompet, Stella, Ulivi, Sheila, Verweij, Niek, Yin, Xiaoyan, Arnar, David O, Asselbergs, Folkert W, Bader, Joel S, Barnard, John, Bis, Josh, Blankenberg, Stefan, Boerwinkle, Eric, Bradford, Yuki, Buckley, Brendan M, Chung, Mina K, Crawford, Dana, den Hoed, Marcel, Denny, Josh C, Dominiczak, Anna F, Ehret, Georg B, Eijgelsheim, Mark, Ellinor, Patrick T, Felix, Stephan B, Franco, Oscar H, Franke, Lude, Harris, Tamara B, Holm, Hilma, Ilaria, Gandin, Iorio, Annamaria, Kähönen, Mika, Kolcic, Ivana, Kors, Jan A, Lakatta, Edward G, Launer, Lenore J, Lin, Honghuang, Lin, Henry J, Loos, Ruth JF, Lubitz, Steven A, Macfarlane, Peter W, Magnani, Jared W, Leach, Irene Mateo, Meitinger, Thomas, Mitchell, Braxton D, Munzel, Thomas, Papanicolaou, George J, Peters, Annette, Pfeufer, Arne, Pramstaller, Peter P, Raitakari, Olli T, Rotter, Jerome I, Rudan, Igor, Samani, Nilesh J, Schlessinger, David, Silva Aldana, Claudia T, Sinner, Moritz F, Smith, Jonathan D, Snieder, Harold, Soliman, Elsayed Z, Spector, Timothy D, Stott, David J, Strauch, Konstantin, Tarasov, Kirill V, Thorsteinsdottir, Unnur, Uitterlinden, Andre G, Van Wagoner, David R, Völker, Uwe, Völzke, Henry, Waldenberger, Melanie, Jan Westra, Harm, Wild, Philipp S, Zeller, Tanja, Alonso, Alvaro, Avery, Christy L, Bandinelli, Stefania, Benjamin, Emelia J, Cucca, Francesco, Dörr, Marcus, and Ferrucci, Luigi

Subjects
Biological Sciences, Genetics, Human Genome, Heart Disease, Biotechnology, Cardiovascular, Aetiology, 2.1 Biological and endogenous factors, Atrial Function, Atrioventricular Node, Electrocardiography, Electrophysiological Phenomena, Female, Genome-Wide Association Study, Humans, Linkage Disequilibrium, Male, Mutation, Missense, Risk Factors
Abstract

Electrocardiographic PR interval measures atrio-ventricular depolarization and conduction, and abnormal PR interval is a risk factor for atrial fibrillation and heart block. Our genome-wide association study of over 92,000 European-descent individuals identifies 44 PR interval loci (34 novel). Examination of these loci reveals known and previously not-yet-reported biological processes involved in cardiac atrial electrical activity. Genes in these loci are over-represented in cardiac disease processes including heart block and atrial fibrillation. Variants in over half of the 44 loci were associated with atrial or blood transcript expression levels, or were in high linkage disequilibrium with missense variants. Six additional loci were identified either by meta-analysis of ~105,000 African and European-descent individuals and/or by pleiotropic analyses combining PR interval with heart rate, QRS interval, and atrial fibrillation. These findings implicate developmental pathways, and identify transcription factors, ion-channel genes, and cell-junction/cell-signaling proteins in atrio-ventricular conduction, identifying potential targets for drug development.

Published
2018

22. Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries.

Author

Feitosa, Mary F, Kraja, Aldi T, Chasman, Daniel I, Sung, Yun J, Winkler, Thomas W, Ntalla, Ioanna, Guo, Xiuqing, Franceschini, Nora, Cheng, Ching-Yu, Sim, Xueling, Vojinovic, Dina, Marten, Jonathan, Musani, Solomon K, Li, Changwei, Bentley, Amy R, Brown, Michael R, Schwander, Karen, Richard, Melissa A, Noordam, Raymond, Aschard, Hugues, Bartz, Traci M, Bielak, Lawrence F, Dorajoo, Rajkumar, Fisher, Virginia, Hartwig, Fernando P, Horimoto, Andrea RVR, Lohman, Kurt K, Manning, Alisa K, Rankinen, Tuomo, Smith, Albert V, Tajuddin, Salman M, Wojczynski, Mary K, Alver, Maris, Boissel, Mathilde, Cai, Qiuyin, Campbell, Archie, Chai, Jin Fang, Chen, Xu, Divers, Jasmin, Gao, Chuan, Goel, Anuj, Hagemeijer, Yanick, Harris, Sarah E, He, Meian, Hsu, Fang-Chi, Jackson, Anne U, Kähönen, Mika, Kasturiratne, Anuradhani, Komulainen, Pirjo, Kühnel, Brigitte, Laguzzi, Federica, Luan, Jian'an, Matoba, Nana, Nolte, Ilja M, Padmanabhan, Sandosh, Riaz, Muhammad, Rueedi, Rico, Robino, Antonietta, Said, M Abdullah, Scott, Robert A, Sofer, Tamar, Stančáková, Alena, Takeuchi, Fumihiko, Tayo, Bamidele O, van der Most, Peter J, Varga, Tibor V, Vitart, Veronique, Wang, Yajuan, Ware, Erin B, Warren, Helen R, Weiss, Stefan, Wen, Wanqing, Yanek, Lisa R, Zhang, Weihua, Zhao, Jing Hua, Afaq, Saima, Amin, Najaf, Amini, Marzyeh, Arking, Dan E, Aung, Tin, Boerwinkle, Eric, Borecki, Ingrid, Broeckel, Ulrich, Brown, Morris, Brumat, Marco, Burke, Gregory L, Canouil, Mickaël, Chakravarti, Aravinda, Charumathi, Sabanayagam, Ida Chen, Yii-Der, Connell, John M, Correa, Adolfo, de Las Fuentes, Lisa, de Mutsert, Renée, de Silva, H Janaka, Deng, Xuan, Ding, Jingzhong, Duan, Qing, Eaton, Charles B, and Ehret, Georg

Subjects
InterAct Consortium, Humans, Hypertension, Genetic Predisposition to Disease, Cohort Studies, Pedigree, Alcohol Drinking, Blood Pressure, Polymorphism, Single Nucleotide, Adolescent, Adult, Aged, Aged, 80 and over, Middle Aged, Continental Population Groups, Female, Male, Genome-Wide Association Study, Young Adult, Gene-Environment Interaction, General Science & Technology
Abstract

Heavy alcohol consumption is an established risk factor for hypertension; the mechanism by which alcohol consumption impact blood pressure (BP) regulation remains unknown. We hypothesized that a genome-wide association study accounting for gene-alcohol consumption interaction for BP might identify additional BP loci and contribute to the understanding of alcohol-related BP regulation. We conducted a large two-stage investigation incorporating joint testing of main genetic effects and single nucleotide variant (SNV)-alcohol consumption interactions. In Stage 1, genome-wide discovery meta-analyses in ≈131K individuals across several ancestry groups yielded 3,514 SNVs (245 loci) with suggestive evidence of association (P < 1.0 x 10-5). In Stage 2, these SNVs were tested for independent external replication in ≈440K individuals across multiple ancestries. We identified and replicated (at Bonferroni correction threshold) five novel BP loci (380 SNVs in 21 genes) and 49 previously reported BP loci (2,159 SNVs in 109 genes) in European ancestry, and in multi-ancestry meta-analyses (P < 5.0 x 10-8). For African ancestry samples, we detected 18 potentially novel BP loci (P < 5.0 x 10-8) in Stage 1 that warrant further replication. Additionally, correlated meta-analysis identified eight novel BP loci (11 genes). Several genes in these loci (e.g., PINX1, GATA4, BLK, FTO and GABBR2) have been previously reported to be associated with alcohol consumption. These findings provide insights into the role of alcohol consumption in the genetic architecture of hypertension.

Published
2018

23. Genetically Determined Plasma Lipid Levels and Risk of Diabetic Retinopathy: A Mendelian Randomization Study

Author

Sobrin, Lucia, Chong, Yong He, Fan, Qiao, Gan, Alfred, Stanwyck, Lynn K, Kaidonis, Georgia, Craig, Jamie E, Kim, Jihye, Liao, Wen-Ling, Huang, Yu-Chuen, Lee, Wen-Jane, Hung, Yi-Jen, Guo, Xiuqing, Hai, Yang, Ipp, Eli, Pollack, Samuela, Hancock, Heather, Price, Alkes, Penman, Alan, Mitchell, Paul, Liew, Gerald, Smith, Albert V, Gudnason, Vilmundur, Tan, Gavin, Klein, Barbara EK, Kuo, Jane, Li, Xiaohui, Christiansen, Mark W, Psaty, Bruce M, Sandow, Kevin, Jensen, Richard A, Klein, Ronald, Cotch, Mary Frances, Wang, Jie Jin, Jia, Yucheng, Chen, Ching J, Chen, Yii-Der Ida, Rotter, Jerome I, Tsai, Fuu-Jen, Hanis, Craig L, Burdon, Kathryn P, Wong, Tien Yin, Cheng, Ching-Yu, Spracklen, Cassandra N, Chen, Peng, Kim, Young Jin, Wang, Xu, Cai, Hui, Li, Shengxu, Long, Jirong, Wu, Ying, Wang, Ya-Xing, Takeuchi, Fumihiko, Wu, Jer-Yuarn, Jung, Keum-Ji, Hu, Cheng, Akiyama, Koichi, Zhang, Yonghong, Moon, Sanghoon, Johnson, Todd A, Li, Huaixing, Dorajoo, Rajkumar, He, Meian, Cannon, Maren E, Roman, Tamara S, Salfati, Elias, Lin, Keng-Hung, Sheu, Wayne HH, Absher, Devin, Adair, Linda S, Assimes, Themistocles L, Aung, Tin, Cai, Qiuyin, Chang, Li-Ching, Chen, Chien-Hsiun, Chien, Li-Hsin, Chuang, Lee-Ming, Chuang, Shu-Chun, Du, Shufa, Fann, Cathy SJ, Feranil, Alan B, Friedlander, Yechiel, Gordon-Larsen, Penny, Gu, Dongfeng, Gui, Lixuan, Guo, Zhirong, Heng, Chew-Kiat, Hixson, James, Hou, Xuhong, Hsiung, Chao Agnes, Hu, Yao, Hwang, Mi Yeong, Hwu, Chii-Min, Isono, Masato, Juang, Jyh-Ming Jimmy, Khor, Chiea-Chuen, Kim, Yun Kyoung, Koh, Woon-Puay, Kubo, Michiaki, and Lee, I-Te

Subjects
Biomedical and Clinical Sciences, Cancer, Prevention, Eye Disease and Disorders of Vision, 2.1 Biological and endogenous factors, Aetiology, Metabolic and endocrine, Aged, Diabetic Retinopathy, Female, Genome-Wide Association Study, Humans, Lipids, Male, Mendelian Randomization Analysis, Middle Aged, Polymorphism, Single Nucleotide, Risk, Asian Genetic Epidemiology Network Consortium, Medical and Health Sciences, Endocrinology & Metabolism, Biomedical and clinical sciences
Abstract

Results from observational studies examining dyslipidemia as a risk factor for diabetic retinopathy (DR) have been inconsistent. We evaluated the causal relationship between plasma lipids and DR using a Mendelian randomization approach. We pooled genome-wide association studies summary statistics from 18 studies for two DR phenotypes: any DR (N = 2,969 case and 4,096 control subjects) and severe DR (N = 1,277 case and 3,980 control subjects). Previously identified lipid-associated single nucleotide polymorphisms served as instrumental variables. Meta-analysis to combine the Mendelian randomization estimates from different cohorts was conducted. There was no statistically significant change in odds ratios of having any DR or severe DR for any of the lipid fractions in the primary analysis that used single nucleotide polymorphisms that did not have a pleiotropic effect on another lipid fraction. Similarly, there was no significant association in the Caucasian and Chinese subgroup analyses. This study did not show evidence of a causal role of the four lipid fractions on DR. However, the study had limited power to detect odds ratios less than 1.23 per SD in genetically induced increase in plasma lipid levels, thus we cannot exclude that causal relationships with more modest effect sizes exist.

Published
2017

24. Discovery of novel heart rate-associated loci using the Exome Chip

Author

van den Berg, Marten E, Warren, Helen R, Cabrera, Claudia P, Verweij, Niek, Mifsud, Borbala, Haessler, Jeffrey, Bihlmeyer, Nathan A, Fu, Yi-Ping, Weiss, Stefan, Lin, Henry J, Grarup, Niels, Li-Gao, Ruifang, Pistis, Giorgio, Shah, Nabi, Brody, Jennifer A, Müller-Nurasyid, Martina, Lin, Honghuang, Mei, Hao, Smith, Albert V, Lyytikäinen, Leo-Pekka, Hall, Leanne M, van Setten, Jessica, Trompet, Stella, Prins, Bram P, Isaacs, Aaron, Radmanesh, Farid, Marten, Jonathan, Entwistle, Aiman, Kors, Jan A, Silva, Claudia T, Alonso, Alvaro, Bis, Joshua C, de Boer, Rudolf, de Haan, Hugoline G, de Mutsert, Renée, Dedoussis, George, Dominiczak, Anna F, Doney, Alex SF, Ellinor, Patrick T, Eppinga, Ruben N, Felix, Stephan B, Guo, Xiuqing, Hagemeijer, Yanick, Hansen, Torben, Harris, Tamara B, Heckbert, Susan R, Huang, Paul L, Hwang, Shih-Jen, Kähönen, Mika, Kanters, Jørgen K, Kolcic, Ivana, Launer, Lenore J, Li, Man, Yao, Jie, Linneberg, Allan, Liu, Simin, Macfarlane, Peter W, Mangino, Massimo, Morris, Andrew D, Mulas, Antonella, Murray, Alison D, Nelson, Christopher P, Orrú, Marco, Padmanabhan, Sandosh, Peters, Annette, Porteous, David J, Poulter, Neil, Psaty, Bruce M, Qi, Lihong, Raitakari, Olli T, Rivadeneira, Fernando, Roselli, Carolina, Rudan, Igor, Sattar, Naveed, Sever, Peter, Sinner, Moritz F, Soliman, Elsayed Z, Spector, Timothy D, Stanton, Alice V, Stirrups, Kathleen E, Taylor, Kent D, Tobin, Martin D, Uitterlinden, André, Vaartjes, Ilonca, Hoes, Arno W, van der Meer, Peter, Völker, Uwe, Waldenberger, Melanie, Xie, Zhijun, Zoledziewska, Magdalena, Tinker, Andrew, Polasek, Ozren, Rosand, Jonathan, Jamshidi, Yalda, van Duijn, Cornelia M, Zeggini, Eleftheria, Jukema, J Wouter, Asselbergs, Folkert W, Samani, Nilesh J, and Lehtimäki, Terho

Subjects
Biological Sciences, Genetics, Human Genome, Biotechnology, Heart Disease, Prevention, Cardiovascular, Stem Cell Research, Clinical Research, Aetiology, 2.1 Biological and endogenous factors, Adult, Alleles, Exome, Female, Gene Frequency, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Heart Rate, Humans, Male, Middle Aged, Oligonucleotide Array Sequence Analysis, Polymorphism, Single Nucleotide, Risk Factors, White People, Medical and Health Sciences, Genetics & Heredity
Abstract

Resting heart rate is a heritable trait, and an increase in heart rate is associated with increased mortality risk. Genome-wide association study analyses have found loci associated with resting heart rate, at the time of our study these loci explained 0.9% of the variation. This study aims to discover new genetic loci associated with heart rate from Exome Chip meta-analyses.Heart rate was measured from either elecrtrocardiograms or pulse recordings. We meta-analysed heart rate association results from 104 452 European-ancestry individuals from 30 cohorts, genotyped using the Exome Chip. Twenty-four variants were selected for follow-up in an independent dataset (UK Biobank, N = 134 251). Conditional and gene-based testing was undertaken, and variants were investigated with bioinformatics methods.We discovered five novel heart rate loci, and one new independent low-frequency non-synonymous variant in an established heart rate locus (KIAA1755). Lead variants in four of the novel loci are non-synonymous variants in the genes C10orf71, DALDR3, TESK2 and SEC31B. The variant at SEC31B is significantly associated with SEC31B expression in heart and tibial nerve tissue. Further candidate genes were detected from long-range regulatory chromatin interactions in heart tissue (SCD, SLF2 and MAPK8). We observed significant enrichment in DNase I hypersensitive sites in fetal heart and lung. Moreover, enrichment was seen for the first time in human neuronal progenitor cells (derived from embryonic stem cells) and fetal muscle samples by including our novel variants.Our findings advance the knowledge of the genetic architecture of heart rate, and indicate new candidate genes for follow-up functional studies.

Published
2017

25. Genomic analyses identify hundreds of variants associated with age at menarche and support a role for puberty timing in cancer risk.

Author

Day, Felix R, Thompson, Deborah J, Helgason, Hannes, Chasman, Daniel I, Finucane, Hilary, Sulem, Patrick, Ruth, Katherine S, Whalen, Sean, Sarkar, Abhishek K, Albrecht, Eva, Altmaier, Elisabeth, Amini, Marzyeh, Barbieri, Caterina M, Boutin, Thibaud, Campbell, Archie, Demerath, Ellen, Giri, Ayush, He, Chunyan, Hottenga, Jouke J, Karlsson, Robert, Kolcic, Ivana, Loh, Po-Ru, Lunetta, Kathryn L, Mangino, Massimo, Marco, Brumat, McMahon, George, Medland, Sarah E, Nolte, Ilja M, Noordam, Raymond, Nutile, Teresa, Paternoster, Lavinia, Perjakova, Natalia, Porcu, Eleonora, Rose, Lynda M, Schraut, Katharina E, Segrè, Ayellet V, Smith, Albert V, Stolk, Lisette, Teumer, Alexander, Andrulis, Irene L, Bandinelli, Stefania, Beckmann, Matthias W, Benitez, Javier, Bergmann, Sven, Bochud, Murielle, Boerwinkle, Eric, Bojesen, Stig E, Bolla, Manjeet K, Brand, Judith S, Brauch, Hiltrud, Brenner, Hermann, Broer, Linda, Brüning, Thomas, Buring, Julie E, Campbell, Harry, Catamo, Eulalia, Chanock, Stephen, Chenevix-Trench, Georgia, Corre, Tanguy, Couch, Fergus J, Cousminer, Diana L, Cox, Angela, Crisponi, Laura, Czene, Kamila, Davey Smith, George, de Geus, Eco JCN, de Mutsert, Renée, De Vivo, Immaculata, Dennis, Joe, Devilee, Peter, Dos-Santos-Silva, Isabel, Dunning, Alison M, Eriksson, Johan G, Fasching, Peter A, Fernández-Rhodes, Lindsay, Ferrucci, Luigi, Flesch-Janys, Dieter, Franke, Lude, Gabrielson, Marike, Gandin, Ilaria, Giles, Graham G, Grallert, Harald, Gudbjartsson, Daniel F, Guénel, Pascal, Hall, Per, Hallberg, Emily, Hamann, Ute, Harris, Tamara B, Hartman, Catharina A, Heiss, Gerardo, Hooning, Maartje J, Hopper, John L, Hu, Frank, Hunter, David J, Ikram, M Arfan, Im, Hae Kyung, Järvelin, Marjo-Riitta, Joshi, Peter K, Karasik, David, and Kellis, Manolis

Subjects
LifeLines Cohort Study, InterAct Consortium, kConFab/AOCS Investigators, Endometrial Cancer Association Consortium, Ovarian Cancer Association Consortium, PRACTICAL consortium, Humans, Neoplasms, Genetic Predisposition to Disease, Ubiquitin-Protein Ligases, Intercellular Signaling Peptides and Proteins, Calcium-Binding Proteins, Ribonucleoproteins, Membrane Proteins, Body Mass Index, Risk Factors, Age Factors, Genomic Imprinting, Puberty, Menarche, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Databases, Genetic, Adolescent, Female, Male, Genome-Wide Association Study, Aging, Breast Cancer, Biotechnology, Cancer, Human Genome, Genetics, Prostate Cancer, Urologic Diseases, 2.1 Biological and endogenous factors, Aetiology, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

The timing of puberty is a highly polygenic childhood trait that is epidemiologically associated with various adult diseases. Using 1000 Genomes Project-imputed genotype data in up to ∼370,000 women, we identify 389 independent signals (P < 5 × 10-8) for age at menarche, a milestone in female pubertal development. In Icelandic data, these signals explain ∼7.4% of the population variance in age at menarche, corresponding to ∼25% of the estimated heritability. We implicate ∼250 genes via coding variation or associated expression, demonstrating significant enrichment in neural tissues. Rare variants near the imprinted genes MKRN3 and DLK1 were identified, exhibiting large effects when paternally inherited. Mendelian randomization analyses suggest causal inverse associations, independent of body mass index (BMI), between puberty timing and risks for breast and endometrial cancers in women and prostate cancer in men. In aggregate, our findings highlight the complexity of the genetic regulation of puberty timing and support causal links with cancer susceptibility.

Published
2017

26. Association of Triglyceride-Related Genetic Variants With Mitral Annular Calcification

Author

Afshar, Mehdi, Luk, Kevin, Do, Ron, Dufresne, Line, Owens, David S, Harris, Tamara B, Peloso, Gina M, Kerr, Kathleen F, Wong, Quenna, Smith, Albert V, Budoff, Mathew J, Rotter, Jerome I, Cupples, L Adrienne, Rich, Stephen S, Engert, James C, Gudnason, Vilmundur, O’Donnell, Christopher J, Post, Wendy S, Thanassoulis, George, and Group, CHARGE Extracoronary Calcium Working

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Heart Disease, Clinical Research, Atherosclerosis, Genetics, Prevention, Aging, Cardiovascular, Aetiology, 2.1 Biological and endogenous factors, Aged, Calcinosis, Female, Follow-Up Studies, Genetic Predisposition to Disease, Genetic Variation, Humans, Incidence, Male, Middle Aged, Mitral Valve, Mitral Valve Insufficiency, Polymorphism, Genetic, Prospective Studies, Risk Factors, Tomography, X-Ray Computed, Triglycerides, lipids, Mendelian randomization, mitral valve, prevention, single nucleotide polymorphism, CHARGE Extracoronary Calcium Working Group, Cardiorespiratory Medicine and Haematology, Public Health and Health Services, Cardiovascular System & Hematology, Cardiovascular medicine and haematology
Abstract

BackgroundMitral annular calcium (MAC), commonly identified by cardiac imaging, is associated with cardiovascular events and predisposes to the development of clinically important mitral valve regurgitation and mitral valve stenosis. However, its biological determinants remain largely unknown.ObjectivesThe authors sought to evaluate whether a genetic predisposition to elevations in plasma lipids is associated with the presence of MAC.MethodsThe authors used 3 separate Mendelian randomization techniques to evaluate the associations of lipid genetic risk scores (GRS) with MAC in 3 large patient cohorts: the Framingham Health Study, MESA (Multiethnic European Study of Atherosclerosis), and the AGE-RS (Age, Gene/Environment Susceptibility-Reykjavik Study). The authors provided cross-ethnicity replication in the MESA Hispanic-American participants.ResultsMAC was present in 1,149 participants (20.4%). In pooled analyses across all 3 cohorts, a triglyceride GRS was significantly associated with the presence of MAC (odds ratio [OR] per triglyceride GRS unit: 1.73; 95% confidence interval [CI]: 1.24 to 2.41; p = 0.0013). Neither low- nor high-density lipoprotein cholesterol GRS was significantly associated with MAC. Results were consistent in cross-ethnicity analyses among the MESA Hispanic-Americans cohort (OR per triglyceride GRS unit: 2.04; 95% CI: 1.03 to 4.03; p = 0.04). In joint meta-analysis across all included cohorts, the triglyceride GRS was associated with MAC (OR per triglyceride GRS unit: 1.79; 95% CI: 1.32 to 2.41; p = 0.0001). The results were robust to several sensitivity analyses that limit both known and unknown forms of genetic pleiotropy.ConclusionsGenetic predisposition to elevated triglyceride levels was associated with the presence of MAC, a risk factor for clinically significant mitral valve disease, suggesting a causal association. Whether reducing triglyceride levels can lower the incidence of clinically significant mitral valve disease requires further study.

Published
2017

27. Large-scale genome-wide analysis identifies genetic variants associated with cardiac structure and function

Author

Wild, Philipp S, Felix, Janine F, Schillert, Arne, Teumer, Alexander, Chen, Ming-Huei, Leening, Maarten JG, Völker, Uwe, Großmann, Vera, Brody, Jennifer A, Irvin, Marguerite R, Shah, Sanjiv J, Pramana, Setia, Lieb, Wolfgang, Schmidt, Reinhold, Stanton, Alice V, Malzahn, Dörthe, Smith, Albert Vernon, Sundström, Johan, Minelli, Cosetta, Ruggiero, Daniela, Lyytikäinen, Leo-Pekka, Tiller, Daniel, Smith, J Gustav, Monnereau, Claire, Di Tullio, Marco R, Musani, Solomon K, Morrison, Alanna C, Pers, Tune H, Morley, Michael, Kleber, Marcus E, Aragam, Jayashri, Benjamin, Emelia J, Bis, Joshua C, Bisping, Egbert, Broeckel, Ulrich, Cheng, Susan, Deckers, Jaap W, Del Greco M, Fabiola, Edelmann, Frank, Fornage, Myriam, Franke, Lude, Friedrich, Nele, Harris, Tamara B, Hofer, Edith, Hofman, Albert, Huang, Jie, Hughes, Alun D, Kähönen, Mika, investigators, KNHI, Kruppa, Jochen, Lackner, Karl J, Lannfelt, Lars, Laskowski, Rafael, Launer, Lenore J, Leosdottir, Margrét, Lin, Honghuang, Lindgren, Cecilia M, Loley, Christina, MacRae, Calum A, Mascalzoni, Deborah, Mayet, Jamil, Medenwald, Daniel, Morris, Andrew P, Müller, Christian, Müller-Nurasyid, Martina, Nappo, Stefania, Nilsson, Peter M, Nuding, Sebastian, Nutile, Teresa, Peters, Annette, Pfeufer, Arne, Pietzner, Diana, Pramstaller, Peter P, Raitakari, Olli T, Rice, Kenneth M, Rivadeneira, Fernando, Rotter, Jerome I, Ruohonen, Saku T, Sacco, Ralph L, Samdarshi, Tandaw E, Schmidt, Helena, Sharp, Andrew SP, Shields, Denis C, Sorice, Rossella, Sotoodehnia, Nona, Stricker, Bruno H, Surendran, Praveen, Thom, Simon, Töglhofer, Anna M, Uitterlinden, André G, Wachter, Rolf, Völzke, Henry, Ziegler, Andreas, Münzel, Thomas, März, Winfried, Cappola, Thomas P, Hirschhorn, Joel N, Mitchell, Gary F, Smith, Nicholas L, and Fox, Ervin R

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Human Genome, Clinical Research, Prevention, Heart Disease, Cardiovascular, 2.1 Biological and endogenous factors, Aetiology, Female, Genetic Loci, Genome-Wide Association Study, Heart Diseases, Humans, Male, Myocardium, Polymorphism, Single Nucleotide, Quantitative Trait, Heritable, Medical and Health Sciences, Immunology, Biological sciences, Biomedical and clinical sciences, Health sciences
Abstract

BackgroundUnderstanding the genetic architecture of cardiac structure and function may help to prevent and treat heart disease. This investigation sought to identify common genetic variations associated with inter-individual variability in cardiac structure and function.MethodsA GWAS meta-analysis of echocardiographic traits was performed, including 46,533 individuals from 30 studies (EchoGen consortium). The analysis included 16 traits of left ventricular (LV) structure, and systolic and diastolic function.ResultsThe discovery analysis included 21 cohorts for structural and systolic function traits (n = 32,212) and 17 cohorts for diastolic function traits (n = 21,852). Replication was performed in 5 cohorts (n = 14,321) and 6 cohorts (n = 16,308), respectively. Besides 5 previously reported loci, the combined meta-analysis identified 10 additional genome-wide significant SNPs: rs12541595 near MTSS1 and rs10774625 in ATXN2 for LV end-diastolic internal dimension; rs806322 near KCNRG, rs4765663 in CACNA1C, rs6702619 near PALMD, rs7127129 in TMEM16A, rs11207426 near FGGY, rs17608766 in GOSR2, and rs17696696 in CFDP1 for aortic root diameter; and rs12440869 in IQCH for Doppler transmitral A-wave peak velocity. Findings were in part validated in other cohorts and in GWAS of related disease traits. The genetic loci showed associations with putative signaling pathways, and with gene expression in whole blood, monocytes, and myocardial tissue.ConclusionThe additional genetic loci identified in this large meta-analysis of cardiac structure and function provide insights into the underlying genetic architecture of cardiac structure and warrant follow-up in future functional studies.FundingFor detailed information per study, see Acknowledgments.

Published
2017

28. A genome-wide interaction analysis of tricyclic/tetracyclic antidepressants and RR and QT intervals: a pharmacogenomics study from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium

Author

Noordam, Raymond, Sitlani, Colleen M, Avery, Christy L, Stewart, James D, Gogarten, Stephanie M, Wiggins, Kerri L, Trompet, Stella, Warren, Helen R, Sun, Fangui, Evans, Daniel S, Li, Xiaohui, Li, Jin, Smith, Albert V, Bis, Joshua C, Brody, Jennifer A, Busch, Evan L, Caulfield, Mark J, Chen, Yii-Der I, Cummings, Steven R, Cupples, L Adrienne, Duan, Qing, Franco, Oscar H, Méndez-Giráldez, Rául, Harris, Tamara B, Heckbert, Susan R, van Heemst, Diana, Hofman, Albert, Floyd, James S, Kors, Jan A, Launer, Lenore J, Li, Yun, Li-Gao, Ruifang, Lange, Leslie A, Lin, Henry J, de Mutsert, Renée, Napier, Melanie D, Newton-Cheh, Christopher, Poulter, Neil, Reiner, Alexander P, Rice, Kenneth M, Roach, Jeffrey, Rodriguez, Carlos J, Rosendaal, Frits R, Sattar, Naveed, Sever, Peter, Seyerle, Amanda A, Slagboom, P Eline, Soliman, Elsayed Z, Sotoodehnia, Nona, Stott, David J, Stürmer, Til, Taylor, Kent D, Thornton, Timothy A, Uitterlinden, André G, Wilhelmsen, Kirk C, Wilson, James G, Gudnason, Vilmundur, Jukema, J Wouter, Laurie, Cathy C, Liu, Yongmei, Mook-Kanamori, Dennis O, Munroe, Patricia B, Rotter, Jerome I, Vasan, Ramachandran S, Psaty, Bruce M, Stricker, Bruno H, and Whitsel, Eric A

Subjects
Pharmacology and Pharmaceutical Sciences, Biological Sciences, Biomedical and Clinical Sciences, Genetics, Health Disparities, Human Genome, Minority Health, Cardiovascular, Heart Disease, Good Health and Well Being, Aged, Aging, Antidepressive Agents, Tricyclic, Electrocardiography, Female, Genetic Loci, Genome-Wide Association Study, Heart, Humans, Male, Middle Aged, Pharmacogenetics, Genome-wide, QT interval electrocardiography, RR interval, drug-gene interaction, tri/tetracyclic antidepressants, Medical and Health Sciences, Genetics & Heredity, Clinical sciences
Abstract

BackgroundIncreased heart rate and a prolonged QT interval are important risk factors for cardiovascular morbidity and mortality, and can be influenced by the use of various medications, including tricyclic/tetracyclic antidepressants (TCAs). We aim to identify genetic loci that modify the association between TCA use and RR and QT intervals.Methods and resultsWe conducted race/ethnic-specific genome-wide interaction analyses (with HapMap phase II imputed reference panel imputation) of TCAs and resting RR and QT intervals in cohorts of European (n=45 706; n=1417 TCA users), African (n=10 235; n=296 TCA users) and Hispanic/Latino (n=13 808; n=147 TCA users) ancestry, adjusted for clinical covariates. Among the populations of European ancestry, two genome-wide significant loci were identified for RR interval: rs6737205 in BRE (β=56.3, pinteraction=3.9e-9) and rs9830388 in UBE2E2 (β=25.2, pinteraction=1.7e-8). In Hispanic/Latino cohorts, rs2291477 in TGFBR3 significantly modified the association between TCAs and QT intervals (β=9.3, pinteraction=2.55e-8). In the meta-analyses of the other ethnicities, these loci either were excluded from the meta-analyses (as part of quality control), or their effects did not reach the level of nominal statistical significance (pinteraction>0.05). No new variants were identified in these ethnicities. No additional loci were identified after inverse-variance-weighted meta-analysis of the three ancestries.ConclusionsAmong Europeans, TCA interactions with variants in BRE and UBE2E2 were identified in relation to RR intervals. Among Hispanic/Latinos, variants in TGFBR3 modified the relation between TCAs and QT intervals. Future studies are required to confirm our results.

Published
2017

29. Genome-wide physical activity interactions in adiposity - A meta-analysis of 200,452 adults.

Author

Graff, Mariaelisa, Scott, Robert A, Justice, Anne E, Young, Kristin L, Feitosa, Mary F, Barata, Llilda, Winkler, Thomas W, Chu, Audrey Y, Mahajan, Anubha, Hadley, David, Xue, Luting, Workalemahu, Tsegaselassie, Heard-Costa, Nancy L, den Hoed, Marcel, Ahluwalia, Tarunveer S, Qi, Qibin, Ngwa, Julius S, Renström, Frida, Quaye, Lydia, Eicher, John D, Hayes, James E, Cornelis, Marilyn, Kutalik, Zoltan, Lim, Elise, Luan, Jian'an, Huffman, Jennifer E, Zhang, Weihua, Zhao, Wei, Griffin, Paula J, Haller, Toomas, Ahmad, Shafqat, Marques-Vidal, Pedro M, Bien, Stephanie, Yengo, Loic, Teumer, Alexander, Smith, Albert Vernon, Kumari, Meena, Harder, Marie Neergaard, Justesen, Johanne Marie, Kleber, Marcus E, Hollensted, Mette, Lohman, Kurt, Rivera, Natalia V, Whitfield, John B, Zhao, Jing Hua, Stringham, Heather M, Lyytikäinen, Leo-Pekka, Huppertz, Charlotte, Willemsen, Gonneke, Peyrot, Wouter J, Wu, Ying, Kristiansson, Kati, Demirkan, Ayse, Fornage, Myriam, Hassinen, Maija, Bielak, Lawrence F, Cadby, Gemma, Tanaka, Toshiko, Mägi, Reedik, van der Most, Peter J, Jackson, Anne U, Bragg-Gresham, Jennifer L, Vitart, Veronique, Marten, Jonathan, Navarro, Pau, Bellis, Claire, Pasko, Dorota, Johansson, Åsa, Snitker, Søren, Cheng, Yu-Ching, Eriksson, Joel, Lim, Unhee, Aadahl, Mette, Adair, Linda S, Amin, Najaf, Balkau, Beverley, Auvinen, Juha, Beilby, John, Bergman, Richard N, Bergmann, Sven, Bertoni, Alain G, Blangero, John, Bonnefond, Amélie, Bonnycastle, Lori L, Borja, Judith B, Brage, Søren, Busonero, Fabio, Buyske, Steve, Campbell, Harry, Chines, Peter S, Collins, Francis S, Corre, Tanguy, Smith, George Davey, Delgado, Graciela E, Dueker, Nicole, Dörr, Marcus, Ebeling, Tapani, Eiriksdottir, Gudny, Esko, Tõnu, and Faul, Jessica D

Subjects
CHARGE Consortium, EPIC-InterAct Consortium, PAGE Consortium, Humans, Obesity, Genetic Predisposition to Disease, Body Mass Index, Waist-Hip Ratio, Exercise, Genotype, Female, Male, Adiposity, Waist Circumference, Genome-Wide Association Study, Epigenomics, Alpha-Ketoglutarate-Dependent Dioxygenase FTO, Genetics, Developmental Biology
Abstract

Physical activity (PA) may modify the genetic effects that give rise to increased risk of obesity. To identify adiposity loci whose effects are modified by PA, we performed genome-wide interaction meta-analyses of BMI and BMI-adjusted waist circumference and waist-hip ratio from up to 200,452 adults of European (n = 180,423) or other ancestry (n = 20,029). We standardized PA by categorizing it into a dichotomous variable where, on average, 23% of participants were categorized as inactive and 77% as physically active. While we replicate the interaction with PA for the strongest known obesity-risk locus in the FTO gene, of which the effect is attenuated by ~30% in physically active individuals compared to inactive individuals, we do not identify additional loci that are sensitive to PA. In additional genome-wide meta-analyses adjusting for PA and interaction with PA, we identify 11 novel adiposity loci, suggesting that accounting for PA or other environmental factors that contribute to variation in adiposity may facilitate gene discovery.

Published
2017

30. Novel genetic loci associated with hippocampal volume.

Author

Hibar, Derrek P, Adams, Hieab HH, Jahanshad, Neda, Chauhan, Ganesh, Stein, Jason L, Hofer, Edith, Renteria, Miguel E, Bis, Joshua C, Arias-Vasquez, Alejandro, Ikram, M Kamran, Desrivières, Sylvane, Vernooij, Meike W, Abramovic, Lucija, Alhusaini, Saud, Amin, Najaf, Andersson, Micael, Arfanakis, Konstantinos, Aribisala, Benjamin S, Armstrong, Nicola J, Athanasiu, Lavinia, Axelsson, Tomas, Beecham, Ashley H, Beiser, Alexa, Bernard, Manon, Blanton, Susan H, Bohlken, Marc M, Boks, Marco P, Bralten, Janita, Brickman, Adam M, Carmichael, Owen, Chakravarty, M Mallar, Chen, Qiang, Ching, Christopher RK, Chouraki, Vincent, Cuellar-Partida, Gabriel, Crivello, Fabrice, Den Braber, Anouk, Doan, Nhat Trung, Ehrlich, Stefan, Giddaluru, Sudheer, Goldman, Aaron L, Gottesman, Rebecca F, Grimm, Oliver, Griswold, Michael E, Guadalupe, Tulio, Gutman, Boris A, Hass, Johanna, Haukvik, Unn K, Hoehn, David, Holmes, Avram J, Hoogman, Martine, Janowitz, Deborah, Jia, Tianye, Jørgensen, Kjetil N, Karbalai, Nazanin, Kasperaviciute, Dalia, Kim, Sungeun, Klein, Marieke, Kraemer, Bernd, Lee, Phil H, Liewald, David CM, Lopez, Lorna M, Luciano, Michelle, Macare, Christine, Marquand, Andre F, Matarin, Mar, Mather, Karen A, Mattheisen, Manuel, McKay, David R, Milaneschi, Yuri, Muñoz Maniega, Susana, Nho, Kwangsik, Nugent, Allison C, Nyquist, Paul, Loohuis, Loes M Olde, Oosterlaan, Jaap, Papmeyer, Martina, Pirpamer, Lukas, Pütz, Benno, Ramasamy, Adaikalavan, Richards, Jennifer S, Risacher, Shannon L, Roiz-Santiañez, Roberto, Rommelse, Nanda, Ropele, Stefan, Rose, Emma J, Royle, Natalie A, Rundek, Tatjana, Sämann, Philipp G, Saremi, Arvin, Satizabal, Claudia L, Schmaal, Lianne, Schork, Andrew J, Shen, Li, Shin, Jean, Shumskaya, Elena, Smith, Albert V, Sprooten, Emma, Strike, Lachlan T, and Teumer, Alexander

Subjects
Hippocampus, Humans, Alzheimer Disease, Genetic Predisposition to Disease, Protein-Serine-Threonine Kinases, Glycoproteins, Microtubule-Associated Proteins, Nerve Tissue Proteins, Organ Size, Cohort Studies, Adolescent, Adult, Aged, Aged, 80 and over, Middle Aged, Child, Female, Male, Genome-Wide Association Study, Young Adult, Methionine Sulfoxide Reductases, Genetic Loci, Dipeptidyl Peptidase 4, Human Genome, Aging, Brain Disorders, Clinical Research, Acquired Cognitive Impairment, Neurodegenerative, Dementia, Neurosciences, Prevention, Genetics, Alzheimer's Disease, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Mental Health, 2.1 Biological and endogenous factors, Mental health, Neurological
Abstract

The hippocampal formation is a brain structure integrally involved in episodic memory, spatial navigation, cognition and stress responsiveness. Structural abnormalities in hippocampal volume and shape are found in several common neuropsychiatric disorders. To identify the genetic underpinnings of hippocampal structure here we perform a genome-wide association study (GWAS) of 33,536 individuals and discover six independent loci significantly associated with hippocampal volume, four of them novel. Of the novel loci, three lie within genes (ASTN2, DPP4 and MAST4) and one is found 200 kb upstream of SHH. A hippocampal subfield analysis shows that a locus within the MSRB3 gene shows evidence of a localized effect along the dentate gyrus, subiculum, CA1 and fissure. Further, we show that genetic variants associated with decreased hippocampal volume are also associated with increased risk for Alzheimer's disease (rg=-0.155). Our findings suggest novel biological pathways through which human genetic variation influences hippocampal volume and risk for neuropsychiatric illness.

Published
2017

31. Genetic Interactions with Age, Sex, Body Mass Index, and Hypertension in Relation to Atrial Fibrillation: The AFGen Consortium

Author

Weng, Lu-Chen, Lunetta, Kathryn L, Müller-Nurasyid, Martina, Smith, Albert Vernon, Thériault, Sébastien, Weeke, Peter E, Barnard, John, Bis, Joshua C, Lyytikäinen, Leo-Pekka, Kleber, Marcus E, Martinsson, Andreas, Lin, Henry J, Rienstra, Michiel, Trompet, Stella, Krijthe, Bouwe P, Dörr, Marcus, Klarin, Derek, Chasman, Daniel I, Sinner, Moritz F, Waldenberger, Melanie, Launer, Lenore J, Harris, Tamara B, Soliman, Elsayed Z, Alonso, Alvaro, Paré, Guillaume, Teixeira, Pedro L, Denny, Joshua C, Shoemaker, M Benjamin, Van Wagoner, David R, Smith, Jonathan D, Psaty, Bruce M, Sotoodehnia, Nona, Taylor, Kent D, Kähönen, Mika, Nikus, Kjell, Delgado, Graciela E, Melander, Olle, Engström, Gunnar, Yao, Jie, Guo, Xiuqing, Christophersen, Ingrid E, Ellinor, Patrick T, Geelhoed, Bastiaan, Verweij, Niek, Macfarlane, Peter, Ford, Ian, Heeringa, Jan, Franco, Oscar H, Uitterlinden, André G, Völker, Uwe, Teumer, Alexander, Rose, Lynda M, Kääb, Stefan, Gudnason, Vilmundur, Arking, Dan E, Conen, David, Roden, Dan M, Chung, Mina K, Heckbert, Susan R, Benjamin, Emelia J, Lehtimäki, Terho, März, Winfried, Smith, J Gustav, Rotter, Jerome I, van der Harst, Pim, Jukema, J Wouter, Stricker, Bruno H, Felix, Stephan B, Albert, Christine M, and Lubitz, Steven A

Subjects
Epidemiology, Biological Sciences, Health Sciences, Genetics, Heart Disease, Cardiovascular, Prevention, Human Genome, 2.1 Biological and endogenous factors, Aetiology, Age Factors, Aged, Atrial Fibrillation, Body Mass Index, Chromosomes, Human, Pair 4, Epistasis, Genetic, Female, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Hypertension, Male, Middle Aged, Odds Ratio, Polymorphism, Single Nucleotide, Reproducibility of Results, Risk Factors, Sex Characteristics
Abstract

It is unclear whether genetic markers interact with risk factors to influence atrial fibrillation (AF) risk. We performed genome-wide interaction analyses between genetic variants and age, sex, hypertension, and body mass index in the AFGen Consortium. Study-specific results were combined using meta-analysis (88,383 individuals of European descent, including 7,292 with AF). Variants with nominal interaction associations in the discovery analysis were tested for association in four independent studies (131,441 individuals, including 5,722 with AF). In the discovery analysis, the AF risk associated with the minor rs6817105 allele (at the PITX2 locus) was greater among subjects ≤ 65 years of age than among those > 65 years (interaction p-value = 4.0 × 10-5). The interaction p-value exceeded genome-wide significance in combined discovery and replication analyses (interaction p-value = 1.7 × 10-8). We observed one genome-wide significant interaction with body mass index and several suggestive interactions with age, sex, and body mass index in the discovery analysis. However, none was replicated in the independent sample. Our findings suggest that the pathogenesis of AF may differ according to age in individuals of European descent, but we did not observe evidence of statistically significant genetic interactions with sex, body mass index, or hypertension on AF risk.

Published
2017

32. Genome-wide Trans-ethnic Meta-analysis Identifies Seven Genetic Loci Influencing Erythrocyte Traits and a Role for RBPMS in Erythropoiesis

Author

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

Subjects
Epidemiology, Biological Sciences, Health Sciences, Genetics, Human Genome, Hematology, Africa, Alleles, Animals, Bayes Theorem, Erythrocytes, Erythropoiesis, Ethnicity, Europe, Asia, Eastern, Female, Genome-Wide Association Study, Humans, Linkage Disequilibrium, Male, RNA-Binding Proteins, Racial Groups, Zebrafish, BioBank Japan Project, Medical and Health Sciences, Genetics & Heredity, Biological sciences, Biomedical and clinical sciences, Health sciences
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.

Published
2017

33. Multiethnic genome-wide meta-analysis of ectopic fat depots identifies loci associated with adipocyte development and differentiation

Author

Chu, Audrey Y, Deng, Xuan, Fisher, Virginia A, Drong, Alexander, Zhang, Yang, Feitosa, Mary F, Liu, Ching-Ti, Weeks, Olivia, Choh, Audrey C, Duan, Qing, Dyer, Thomas D, Eicher, John D, Guo, Xiuqing, Heard-Costa, Nancy L, Kacprowski, Tim, Kent, Jack W, Lange, Leslie A, Liu, Xinggang, Lohman, Kurt, Lu, Lingyi, Mahajan, Anubha, O'Connell, Jeffrey R, Parihar, Ankita, Peralta, Juan M, Smith, Albert V, Zhang, Yi, Homuth, Georg, Kissebah, Ahmed H, Kullberg, Joel, Laqua, René, Launer, Lenore J, Nauck, Matthias, Olivier, Michael, Peyser, Patricia A, Terry, James G, Wojczynski, Mary K, Yao, Jie, Bielak, Lawrence F, Blangero, John, Borecki, Ingrid B, Bowden, Donald W, Carr, John Jeffrey, Czerwinski, Stefan A, Ding, Jingzhong, Friedrich, Nele, Gudnason, Vilmunder, Harris, Tamara B, Ingelsson, Erik, Johnson, Andrew D, Kardia, Sharon LR, Langefeld, Carl D, Lind, Lars, Liu, Yongmei, Mitchell, Braxton D, Morris, Andrew P, Mosley, Thomas H, Rotter, Jerome I, Shuldiner, Alan R, Towne, Bradford, Völzke, Henry, Wallaschofski, Henri, Wilson, James G, Allison, Matthew, Lindgren, Cecilia M, Goessling, Wolfram, Cupples, L Adrienne, Steinhauser, Matthew L, and Fox, Caroline S

Subjects
Nutrition, Human Genome, Genetics, Adipocytes, Animals, Body Fat Distribution, Cell Differentiation, Cohort Studies, Ethnicity, Female, Genetic Loci, Genetic Markers, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Mice, Mice, Inbred C57BL, Obesity, Phenotype, Polymorphism, Single Nucleotide, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract

Variation in body fat distribution contributes to the metabolic sequelae of obesity. The genetic determinants of body fat distribution are poorly understood. The goal of this study was to gain new insights into the underlying genetics of body fat distribution by conducting sample-size-weighted fixed-effects genome-wide association meta-analyses in up to 9,594 women and 8,738 men of European, African, Hispanic and Chinese ancestry, with and without sex stratification, for six traits associated with ectopic fat (hereinafter referred to as ectopic-fat traits). In total, we identified seven new loci associated with ectopic-fat traits (ATXN1, UBE2E2, EBF1, RREB1, GSDMB, GRAMD3 and ENSA; P < 5 × 10-8; false discovery rate < 1%). Functional analysis of these genes showed that loss of function of either Atxn1 or Ube2e2 in primary mouse adipose progenitor cells impaired adipocyte differentiation, suggesting physiological roles for ATXN1 and UBE2E2 in adipogenesis. Future studies are necessary to further explore the mechanisms by which these genes affect adipocyte biology and how their perturbations contribute to systemic metabolic disease.

Published
2017

34. KLB is associated with alcohol drinking, and its gene product β-Klotho is necessary for FGF21 regulation of alcohol preference

Author

Schumann, Gunter, Liu, Chunyu, O'Reilly, Paul, Gao, He, Song, Parkyong, Xu, Bing, Ruggeri, Barbara, Amin, Najaf, Jia, Tianye, Preis, Sarah, Segura Lepe, Marcelo, Akira, Shizuo, Barbieri, Caterina, Baumeister, Sebastian, Cauchi, Stephane, Clarke, Toni-Kim, Enroth, Stefan, Fischer, Krista, Hällfors, Jenni, Harris, Sarah E, Hieber, Saskia, Hofer, Edith, Hottenga, Jouke-Jan, Johansson, Åsa, Joshi, Peter K, Kaartinen, Niina, Laitinen, Jaana, Lemaitre, Rozenn, Loukola, Anu, Luan, Jian'an, Lyytikäinen, Leo-Pekka, Mangino, Massimo, Manichaikul, Ani, Mbarek, Hamdi, Milaneschi, Yuri, Moayyeri, Alireza, Mukamal, Kenneth, Nelson, Christopher, Nettleton, Jennifer, Partinen, Eemil, Rawal, Rajesh, Robino, Antonietta, Rose, Lynda, Sala, Cinzia, Satoh, Takashi, Schmidt, Reinhold, Schraut, Katharina, Scott, Robert, Smith, Albert Vernon, Starr, John M, Teumer, Alexander, Trompet, Stella, Uitterlinden, André G, Venturini, Cristina, Vergnaud, Anne-Claire, Verweij, Niek, Vitart, Veronique, Vuckovic, Dragana, Wedenoja, Juho, Yengo, Loic, Yu, Bing, Zhang, Weihua, Zhao, Jing Hua, Boomsma, Dorret I, Chambers, John, Chasman, Daniel I, Daniela, Toniolo, de Geus, Eco, Deary, Ian, Eriksson, Johan G, Esko, Tõnu, Eulenburg, Volker, Franco, Oscar H, Froguel, Philippe, Gieger, Christian, Grabe, Hans J, Gudnason, Vilmundur, Gyllensten, Ulf, Harris, Tamara B, Hartikainen, Anna-Liisa, Heath, Andrew C, Hocking, Lynne, Hofman, Albert, Huth, Cornelia, Jarvelin, Marjo-Riitta, Jukema, J Wouter, Kaprio, Jaakko, Kooner, Jaspal S, Kutalik, Zoltan, Lahti, Jari, Langenberg, Claudia, Lehtimäki, Terho, Liu, Yongmei, Madden, Pamela AF, Martin, Nicholas, Morrison, Alanna, Penninx, Brenda, Pirastu, Nicola, Psaty, Bruce, and Raitakari, Olli

Subjects
Underage Drinking, Genetics, Alcoholism, Alcohol Use and Health, Neurosciences, Substance Misuse, Pediatric, Underpinning research, 1.1 Normal biological development and functioning, Stroke, Cardiovascular, Cancer, Oral and gastrointestinal, Good Health and Well Being, Alcohol Drinking, Animals, Behavior, Animal, Brain, Emotions, Female, Fibroblast Growth Factors, Genome-Wide Association Study, Humans, Klotho Proteins, Liver, Male, Membrane Proteins, Mice, Mice, 129 Strain, Mice, Inbred C57BL, Mice, Knockout, Polymorphism, Single Nucleotide, alcohol consumption, human, beta-Klotho, FGF21, mouse model, β-Klotho
Abstract

Excessive alcohol consumption is a major public health problem worldwide. Although drinking habits are known to be inherited, few genes have been identified that are robustly linked to alcohol drinking. We conducted a genome-wide association metaanalysis and replication study among >105,000 individuals of European ancestry and identified β-Klotho (KLB) as a locus associated with alcohol consumption (rs11940694; P = 9.2 × 10-12). β-Klotho is an obligate coreceptor for the hormone FGF21, which is secreted from the liver and implicated in macronutrient preference in humans. We show that brain-specific β-Klotho KO mice have an increased alcohol preference and that FGF21 inhibits alcohol drinking by acting on the brain. These data suggest that a liver-brain endocrine axis may play an important role in the regulation of alcohol drinking behavior and provide a unique pharmacologic target for reducing alcohol consumption.

Published
2016

35. Meta-analysis of genome-wide association studies of HDL cholesterol response to statins

Author

Postmus, Iris, Warren, Helen R, Trompet, Stella, Arsenault, Benoit J, Avery, Christy L, Bis, Joshua C, Chasman, Daniel I, de Keyser, Catherine E, Deshmukh, Harshal A, Evans, Daniel S, Feng, QiPing, Li, Xiaohui, Smit, Roelof AJ, Smith, Albert V, Sun, Fangui, Taylor, Kent D, Arnold, Alice M, Barnes, Michael R, Barratt, Bryan J, Betteridge, John, Boekholdt, S Matthijs, Boerwinkle, Eric, Buckley, Brendan M, Chen, Y-D Ida, de Craen, Anton JM, Cummings, Steven R, Denny, Joshua C, Dubé, Marie Pierre, Durrington, Paul N, Eiriksdottir, Gudny, Ford, Ian, Guo, Xiuqing, Harris, Tamara B, Heckbert, Susan R, Hofman, Albert, Hovingh, G Kees, Kastelein, John JP, Launer, Leonore J, Liu, Ching-Ti, Liu, Yongmei, Lumley, Thomas, McKeigue, Paul M, Munroe, Patricia B, Neil, Andrew, Nickerson, Deborah A, Nyberg, Fredrik, O'Brien, Eoin, O'Donnell, Christopher J, Post, Wendy, Poulter, Neil, Vasan, Ramachandran S, Rice, Kenneth, Rich, Stephen S, Rivadeneira, Fernando, Sattar, Naveed, Sever, Peter, Shaw-Hawkins, Sue, Shields, Denis C, Slagboom, P Eline, Smith, Nicholas L, Smith, Joshua D, Sotoodehnia, Nona, Stanton, Alice, Stott, David J, Stricker, Bruno H, Stürmer, Til, Uitterlinden, André G, Wei, Wei-Qi, Westendorp, Rudi GJ, Whitsel, Eric A, Wiggins, Kerri L, Wilke, Russell A, Ballantyne, Christie M, Colhoun, Helen M, Cupples, L Adrienne, Franco, Oscar H, Gudnason, Vilmundur, Hitman, Graham, Palmer, Colin NA, Psaty, Bruce M, Ridker, Paul M, Stafford, Jeanette M, Stein, Charles M, Tardif, Jean-Claude, Caulfield, Mark J, Jukema, J Wouter, Rotter, Jerome I, and Krauss, Ronald M

Subjects
Atherosclerosis, Genetics, Human Genome, Aetiology, 2.1 Biological and endogenous factors, Stroke, Good Health and Well Being, Cholesterol Ester Transfer Proteins, Cholesterol, HDL, Female, Genome-Wide Association Study, Humans, Hydroxymethylglutaryl-CoA Reductase Inhibitors, Male, Pharmacogenomic Variants, Polymorphism, Single Nucleotide, Treatment Outcome, White People, Genome-wide association study, HDL-cholesterol, Statins, pharmacogenetics, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract

BackgroundIn addition to lowering low density lipoprotein cholesterol (LDL-C), statin therapy also raises high density lipoprotein cholesterol (HDL-C) levels. Inter-individual variation in HDL-C response to statins may be partially explained by genetic variation.Methods and resultsWe performed a meta-analysis of genome-wide association studies (GWAS) to identify variants with an effect on statin-induced high density lipoprotein cholesterol (HDL-C) changes. The 123 most promising signals with p

Published
2016

36. Rare Functional Variant in TM2D3 is Associated with Late-Onset Alzheimer's Disease.

Author

Jakobsdottir, Johanna, van der Lee, Sven J, Bis, Joshua C, Chouraki, Vincent, Li-Kroeger, David, Yamamoto, Shinya, Grove, Megan L, Naj, Adam, Vronskaya, Maria, Salazar, Jose L, DeStefano, Anita L, Brody, Jennifer A, Smith, Albert V, Amin, Najaf, Sims, Rebecca, Ibrahim-Verbaas, Carla A, Choi, Seung-Hoan, Satizabal, Claudia L, Lopez, Oscar L, Beiser, Alexa, Ikram, M Arfan, Garcia, Melissa E, Hayward, Caroline, Varga, Tibor V, Ripatti, Samuli, Franks, Paul W, Hallmans, Göran, Rolandsson, Olov, Jansson, Jan-Håkon, Porteous, David J, Salomaa, Veikko, Eiriksdottir, Gudny, Rice, Kenneth M, Bellen, Hugo J, Levy, Daniel, Uitterlinden, Andre G, Emilsson, Valur, Rotter, Jerome I, Aspelund, Thor, Cohorts for Heart and Aging Research in Genomic Epidemiology consortium, Alzheimer’s Disease Genetic Consortium, Genetic and Environmental Risk in Alzheimer’s Disease consortium, O'Donnell, Christopher J, Fitzpatrick, Annette L, Launer, Lenore J, Hofman, Albert, Wang, Li-San, Williams, Julie, Schellenberg, Gerard D, Boerwinkle, Eric, Psaty, Bruce M, Seshadri, Sudha, Shulman, Joshua M, Gudnason, Vilmundur, and van Duijn, Cornelia M

Subjects
Cohorts for Heart and Aging Research in Genomic Epidemiology consortium, Alzheimer’s Disease Genetic Consortium, Genetic and Environmental Risk in Alzheimer’s Disease consortium, Animals, Humans, Drosophila melanogaster, Alzheimer Disease, Intracellular Signaling Peptides and Proteins, Amyloid beta-Protein Precursor, Apolipoproteins E, Tropomyosin, Drosophila Proteins, Membrane Proteins, Genomics, Age of Onset, Phenotype, Mutation, Alleles, Aged, European Continental Ancestry Group, Iceland, Female, Male, Receptors, Notch, Genome-Wide Association Study, Exome, Receptors, Notch, Genetics, Developmental Biology
Abstract

We performed an exome-wide association analysis in 1393 late-onset Alzheimer's disease (LOAD) cases and 8141 controls from the CHARGE consortium. We found that a rare variant (P155L) in TM2D3 was enriched in Icelanders (~0.5% versus

Published
2016

37. Meta-analysis of rare and common exome chip variants identifies S1PR4 and other loci influencing blood cell traits

Author

Pankratz, Nathan, Schick, Ursula M, Zhou, Yi, Zhou, Wei, Ahluwalia, Tarunveer Singh, Allende, Maria Laura, Auer, Paul L, Bork-Jensen, Jette, Brody, Jennifer A, Chen, Ming-Huei, Clavo, Vinna, Eicher, John D, Grarup, Niels, Hagedorn, Elliott J, Hu, Bella, Hunker, Kristina, Johnson, Andrew D, Leusink, Maarten, Lu, Yingchang, Lyytikainen, Leo-Pekka, Manichaikul, Ani, Marioni, Riccardo E, Nalls, Mike A, Pazoki, Raha, Smith, Albert Vernon, van Rooij, Frank JA, Yang, Min-Lee, Zhang, Xiaoling, Zhang, Yan, Asselbergs, Folkert W, Boerwinkle, Eric, Borecki, Ingrid B, Bottinger, Erwin P, Cushman, Mary, de Bakker, Paul IW, Deary, Ian J, Dong, Liguang, Feitosa, Mary F, Floyd, James S, Franceschini, Nora, Franco, Oscar H, Garcia, Melissa E, Grove, Megan L, Gudnason, Vilmundur, Hansen, Torben, Harris, Tamara B, Hofman, Albert, Jackson, Rebecca D, Jia, Jia, Kahonen, Mika, Launer, Lenore J, Lehtimaki, Terho, Liewald, David C, Linneberg, Allan, Liu, Yongmei, Loos, Ruth JF, Nguyen, Vy M, Numans, Mattijs E, Pedersen, Oluf, Psaty, Bruce M, Raitakari, Olli T, Rich, Stephen S, Rivadeneira, Fernando, Di Sant, Amanda M Rosa, Rotter, Jerome I, Starr, John M, Taylor, Kent D, Thuesen, Betina Heinsbaek, Tracy, Russell P, Uitterlinden, Andre G, Wang, Jiansong, Wang, Judy, Dehghan, Abbas, Huo, Yong, Cupples, L Adrienne, Wilson, James G, Proia, Richard L, Zon, Leonard I, O'Donnell, Christopher J, Reiner, Alex P, and Ganesh, Santhi K

Subjects
Biological Sciences, Genetics, Prevention, Human Genome, Clinical Research, Aetiology, 2.1 Biological and endogenous factors, Cardiovascular, Animals, Erythrocyte Count, Erythrocytes, Ethnicity, Exome, Female, Genetic Loci, Genome-Wide Association Study, Hematocrit, Humans, Male, Mice, Quantitative Trait Loci, Receptors, Lysosphingolipid, Zebrafish, CHARGE Consortium Hematology Working Group, Medical and Health Sciences, Developmental Biology, Agricultural biotechnology, Bioinformatics and computational biology
Abstract

Hematologic measures such as hematocrit and white blood cell (WBC) count are heritable and clinically relevant. We analyzed erythrocyte and WBC phenotypes in 52,531 individuals (37,775 of European ancestry, 11,589 African Americans, and 3,167 Hispanic Americans) from 16 population-based cohorts with Illumina HumanExome BeadChip genotypes. We then performed replication analyses of new discoveries in 18,018 European-American women and 5,261 Han Chinese. We identified and replicated four new erythrocyte trait-locus associations (CEP89, SHROOM3, FADS2, and APOE) and six new WBC loci for neutrophil count (S1PR4), monocyte count (BTBD8, NLRP12, and IL17RA), eosinophil count (IRF1), and total WBC count (MYB). The association of a rare missense variant in S1PR4 supports the role of sphingosine-1-phosphate signaling in leukocyte trafficking and circulating neutrophil counts. Loss-of-function experiments for S1pr4 in mouse and s1pr4 in zebrafish demonstrated phenotypes consistent with the association observed in humans and altered kinetics of neutrophil recruitment and resolution in response to tissue injury.

Published
2016

38. Meta-analysis of 49 549 individuals imputed with the 1000 Genomes Project reveals an exonic damaging variant in ANGPTL4 determining fasting TG levels

Author

van Leeuwen, Elisabeth M, Sabo, Aniko, Bis, Joshua C, Huffman, Jennifer E, Manichaikul, Ani, Smith, Albert V, Feitosa, Mary F, Demissie, Serkalem, Joshi, Peter K, Duan, Qing, Marten, Jonathan, van Klinken, Jan B, Surakka, Ida, Nolte, Ilja M, Zhang, Weihua, Mbarek, Hamdi, Li-Gao, Ruifang, Trompet, Stella, Verweij, Niek, Evangelou, Evangelos, Lyytikäinen, Leo-Pekka, Tayo, Bamidele O, Deelen, Joris, van der Most, Peter J, van der Laan, Sander W, Arking, Dan E, Morrison, Alanna, Dehghan, Abbas, Franco, Oscar H, Hofman, Albert, Rivadeneira, Fernando, Sijbrands, Eric J, Uitterlinden, Andre G, Mychaleckyj, Josyf C, Campbell, Archie, Hocking, Lynne J, Padmanabhan, Sandosh, Brody, Jennifer A, Rice, Kenneth M, White, Charles C, Harris, Tamara, Isaacs, Aaron, Campbell, Harry, Lange, Leslie A, Rudan, Igor, Kolcic, Ivana, Navarro, Pau, Zemunik, Tatijana, Salomaa, Veikko, Study, The LifeLines Cohort, Kooner, Angad S, Kooner, Jaspal S, Lehne, Benjamin, Scott, William R, Tan, Sian-Tsung, de Geus, Eco J, Milaneschi, Yuri, Penninx, Brenda WJH, Willemsen, Gonneke, de Mutsert, Renée, Ford, Ian, Gansevoort, Ron T, Segura-Lepe, Marcelo P, Raitakari, Olli T, Viikari, Jorma S, Nikus, Kjell, Forrester, Terrence, McKenzie, Colin A, de Craen, Anton JM, de Ruijter, Hester M, Group, CHARGE Lipids Working, Pasterkamp, Gerard, Snieder, Harold, Oldehinkel, Albertine J, Slagboom, P Eline, Cooper, Richard S, Kähönen, Mika, Lehtimäki, Terho, Elliott, Paul, van der Harst, Pim, Jukema, J Wouter, Mook-Kanamori, Dennis O, Boomsma, Dorret I, Chambers, John C, Swertz, Morris, Ripatti, Samuli, van Dijk, Ko Willems, Vitart, Veronique, Polasek, Ozren, Hayward, Caroline, Wilson, James G, Wilson, James F, Gudnason, Vilmundur, Rich, Stephen S, Psaty, Bruce M, Borecki, Ingrid B, Boerwinkle, Eric, Rotter, Jerome I, Cupples, L Adrienne, and van Duijn, Cornelia M

Subjects
Biological Sciences, Genetics, Biotechnology, Human Genome, Aetiology, 2.1 Biological and endogenous factors, Angiopoietin-Like Protein 4, Angiopoietins, Exons, Fasting, Female, Genome, Human, Genome-Wide Association Study, Genotype, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, LifeLines Cohort Study, CHARGE Lipids Working Group, Complex traits, Epidemiology, Genome-wide, circulating lipid levels, Medical and Health Sciences, Genetics & Heredity, Clinical sciences
Abstract

BackgroundSo far, more than 170 loci have been associated with circulating lipid levels through genome-wide association studies (GWAS). These associations are largely driven by common variants, their function is often not known, and many are likely to be markers for the causal variants. In this study we aimed to identify more new rare and low-frequency functional variants associated with circulating lipid levels.MethodsWe used the 1000 Genomes Project as a reference panel for the imputations of GWAS data from ∼60 000 individuals in the discovery stage and ∼90 000 samples in the replication stage.ResultsOur study resulted in the identification of five new associations with circulating lipid levels at four loci. All four loci are within genes that can be linked biologically to lipid metabolism. One of the variants, rs116843064, is a damaging missense variant within the ANGPTL4 gene.ConclusionsThis study illustrates that GWAS with high-scale imputation may still help us unravel the biological mechanism behind circulating lipid levels.

Published
2016

39. Platelet-Related Variants Identified by Exomechip Meta-analysis in 157,293 Individuals

Author

Eicher, John D, Chami, Nathalie, Kacprowski, Tim, Nomura, Akihiro, Chen, Ming-Huei, Yanek, Lisa R, Tajuddin, Salman M, Schick, Ursula M, Slater, Andrew J, Pankratz, Nathan, Polfus, Linda, Schurmann, Claudia, Giri, Ayush, Brody, Jennifer A, Lange, Leslie A, Manichaikul, Ani, Hill, W David, Pazoki, Raha, Elliot, Paul, Evangelou, Evangelos, Tzoulaki, Ioanna, Gao, He, Vergnaud, Anne-Claire, Mathias, Rasika A, Becker, Diane M, Becker, Lewis C, Burt, Amber, Crosslin, David R, Lyytikäinen, Leo-Pekka, Nikus, Kjell, Hernesniemi, Jussi, Kähönen, Mika, Raitoharju, Emma, Mononen, Nina, Raitakari, Olli T, Lehtimäki, Terho, Cushman, Mary, Zakai, Neil A, Nickerson, Deborah A, Raffield, Laura M, Quarells, Rakale, Willer, Cristen J, Peloso, Gina M, Abecasis, Goncalo R, Liu, Dajiang J, Consortium, Global Lipids Genetics, Deloukas, Panos, Samani, Nilesh J, Schunkert, Heribert, Erdmann, Jeanette, Consortium, CARDIoGRAM Exome, Consortium, Myocardial Infarction Genetics, Fornage, Myriam, Richard, Melissa, Tardif, Jean-Claude, Rioux, John D, Dube, Marie-Pierre, de Denus, Simon, Lu, Yingchang, Bottinger, Erwin P, Loos, Ruth JF, Smith, Albert Vernon, Harris, Tamara B, Launer, Lenore J, Gudnason, Vilmundur, Edwards, Digna R Velez, Torstenson, Eric S, Liu, Yongmei, Tracy, Russell P, Rotter, Jerome I, Rich, Stephen S, Highland, Heather M, Boerwinkle, Eric, Li, Jin, Lange, Ethan, Wilson, James G, Mihailov, Evelin, Mägi, Reedik, Hirschhorn, Joel, Metspalu, Andres, Esko, Tõnu, Vacchi-Suzzi, Caterina, Nalls, Mike A, Zonderman, Alan B, Evans, Michele K, Engström, Gunnar, Orho-Melander, Marju, Melander, Olle, O’Donoghue, Michelle L, Waterworth, Dawn M, Wallentin, Lars, White, Harvey D, Floyd, James S, Bartz, Traci M, Rice, Kenneth M, Psaty, Bruce M, Starr, JM, Liewald, David CM, Hayward, Caroline, and Deary, Ian J

Subjects
Genetics, Cardiovascular, Hematology, 1.1 Normal biological development and functioning, Underpinning research, Blood, Blood Platelets, Exome, Female, Genetic Variation, Genome-Wide Association Study, Humans, Male, Mean Platelet Volume, Platelet Count, Global Lipids Genetics Consortium, CARDIoGRAM Exome Consortium, Myocardial Infarction Genetics Consortium, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract

Platelet production, maintenance, and clearance are tightly controlled processes indicative of platelets' 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.

Published
2016

40. Novel Genetic Loci Associated With Retinal Microvascular Diameter

Author

Jensen, Richard A, Sim, Xueling, Smith, Albert Vernon, Li, Xiaohui, Jakobsdóttir, Jóhanna, Cheng, Ching-Yu, Brody, Jennifer A, Cotch, Mary Frances, Mcknight, Barbara, Klein, Ronald, Wang, Jie Jin, Kifley, Annette, Harris, Tamara B, Launer, Lenore J, Taylor, Kent D, Klein, Barbara EK, Raffel, Leslie J, Li, Xiang, Ikram, M Arfan, Klaver, Caroline C, van der Lee, Sven J, Mutlu, Unal, Hofman, Albert, Uitterlinden, André G, Liu, Chunyu, Kraja, Aldi T, Mitchell, Paul, Gudnason, Vilmundur, Rotter, Jerome I, Boerwinkle, Eric, van Duijn, Cornelia M, Psaty, Bruce M, and Wong, Tien Y

Subjects
Biomedical and Clinical Sciences, Cardiovascular Medicine and Haematology, Genetics, Eye Disease and Disorders of Vision, Clinical Research, Human Genome, Neurosciences, Aetiology, 2.1 Biological and endogenous factors, Cardiovascular, Adult, Aged, Aged, 80 and over, Alleles, Arterioles, DNA-Binding Proteins, Female, Gene Frequency, Genetic Loci, Humans, Male, Middle Aged, Nuclear Proteins, Polymorphism, Single Nucleotide, Retinal Artery, Retinal Vein, TEA Domain Transcription Factors, Tetraspanins, Transcription Factors, Venules, meta-analysis, genetics, microcirculation, exome, retina, CHARGE Exome Chip Blood Pressure Consortium, Medical Biotechnology, Cardiorespiratory Medicine and Haematology, Cardiovascular System & Hematology, Cardiovascular medicine and haematology
Abstract

BackgroundThere is increasing evidence that retinal microvascular diameters are associated with cardiovascular and cerebrovascular conditions. The shared genetic effects of these associations are currently unknown. The aim of this study was to increase our understanding of the genetic factors that mediate retinal vessel size.Methods and resultsThis study extends previous genome-wide association study results using 24 000+ multiethnic participants from 7 discovery cohorts and 5000+ subjects of European ancestry from 2 replication cohorts. Using the Illumina HumanExome BeadChip, we investigate the association of single-nucleotide polymorphisms and variants collectively across genes with summary measures of retinal vessel diameters, referred to as the central retinal venule equivalent and the central retinal arteriole equivalent. We report 4 new loci associated with central retinal venule equivalent, one of which is also associated with central retinal arteriole equivalent. The 4 single-nucleotide polymorphisms are rs7926971 in TEAD1 (P=3.1×10(-) (11); minor allele frequency=0.43), rs201259422 in TSPAN10 (P=4.4×10(-9); minor allele frequency=0.27), rs5442 in GNB3 (P=7.0×10(-10); minor allele frequency=0.05), and rs1800407 in OCA2 (P=3.4×10(-8); minor allele frequency=0.05). The latter single-nucleotide polymorphism, rs1800407, was also associated with central retinal arteriole equivalent (P=6.5×10(-12)). Results from the gene-based burden tests were null. In phenotype look-ups, single-nucleotide polymorphism rs201255422 was associated with both systolic (P=0.001) and diastolic blood pressures (P=8.3×10(-04)).ConclusionsOur study expands the understanding of genetic factors influencing the size of the retinal microvasculature. These findings may also provide insight into the relationship between retinal and systemic microvascular disease.

Published
2016

41. Gene-gene Interaction Analyses for Atrial Fibrillation

Author

Lin, Honghuang, Mueller-Nurasyid, Martina, Smith, Albert V, Arking, Dan E, Barnard, John, Bartz, Traci M, Lunetta, Kathryn L, Lohman, Kurt, Kleber, Marcus E, Lubitz, Steven A, Geelhoed, Bastiaan, Trompet, Stella, Niemeijer, Maartje N, Kacprowski, Tim, Chasman, Daniel I, Klarin, Derek, Sinner, Moritz F, Waldenberger, Melanie, Meitinger, Thomas, Harris, Tamara B, Launer, Lenore J, Soliman, Elsayed Z, Chen, Lin Y, Smith, Jonathan D, Van Wagoner, David R, Rotter, Jerome I, Psaty, Bruce M, Xie, Zhijun, Hendricks, Audrey E, Ding, Jingzhong, Delgado, Graciela E, Verweij, Niek, van der Harst, Pim, Macfarlane, Peter W, Ford, Ian, Hofman, Albert, Uitterlinden, André, Heeringa, Jan, Franco, Oscar H, Kors, Jan A, Weiss, Stefan, Völzke, Henry, Rose, Lynda M, Natarajan, Pradeep, Kathiresan, Sekar, Kääb, Stefan, Gudnason, Vilmundur, Alonso, Alvaro, Chung, Mina K, Heckbert, Susan R, Benjamin, Emelia J, Liu, Yongmei, März, Winfried, Rienstra, Michiel, Jukema, J Wouter, Stricker, Bruno H, Dörr, Marcus, Albert, Christine M, and Ellinor, Patrick T

Subjects
Epidemiology, Biological Sciences, Health Sciences, Genetics, Heart Disease, Human Genome, Cardiovascular, Aetiology, 2.1 Biological and endogenous factors, Aged, Atrial Fibrillation, Cohort Studies, Epistasis, Genetic, Female, Genetic Association Studies, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Hyperpolarization-Activated Cyclic Nucleotide-Gated Channels, Male, Membrane Transport Proteins, Middle Aged, Multivariate Analysis, Muscle Proteins, Oligonucleotide Array Sequence Analysis, Polymorphism, Single Nucleotide, Potassium Channels
Abstract

Atrial fibrillation (AF) is a heritable disease that affects more than thirty million individuals worldwide. Extensive efforts have been devoted to the study of genetic determinants of AF. The objective of our study is to examine the effect of gene-gene interaction on AF susceptibility. We performed a large-scale association analysis of gene-gene interactions with AF in 8,173 AF cases, and 65,237 AF-free referents collected from 15 studies for discovery. We examined putative interactions between genome-wide SNPs and 17 known AF-related SNPs. The top interactions were then tested for association in an independent cohort for replication, which included more than 2,363 AF cases and 114,746 AF-free referents. One interaction, between rs7164883 at the HCN4 locus and rs4980345 at the SLC28A1 locus, was found to be significantly associated with AF in the discovery cohorts (interaction OR = 1.44, 95% CI: 1.27-1.65, P = 4.3 × 10-8). Eight additional gene-gene interactions were also marginally significant (P

Published
2016

42. Genome-Wide Association Study for Incident Myocardial Infarction and Coronary Heart Disease in Prospective Cohort Studies: The CHARGE Consortium

Author

Dehghan, Abbas, Bis, Joshua C, White, Charles C, Smith, Albert Vernon, Morrison, Alanna C, Cupples, L Adrienne, Trompet, Stella, Chasman, Daniel I, Lumley, Thomas, Völker, Uwe, Buckley, Brendan M, Ding, Jingzhong, Jensen, Majken K, Folsom, Aaron R, Kritchevsky, Stephen B, Girman, Cynthia J, Ford, Ian, Dörr, Marcus, Salomaa, Veikko, Uitterlinden, André G, Eiriksdottir, Gudny, Vasan, Ramachandran S, Franceschini, Nora, Carty, Cara L, Virtamo, Jarmo, Demissie, Serkalem, Amouyel, Philippe, Arveiler, Dominique, Heckbert, Susan R, Ferrières, Jean, Ducimetière, Pierre, Smith, Nicholas L, Wang, Ying A, Siscovick, David S, Rice, Kenneth M, Wiklund, Per-Gunnar, Taylor, Kent D, Evans, Alun, Kee, Frank, Rotter, Jerome I, Karvanen, Juha, Kuulasmaa, Kari, Heiss, Gerardo, Kraft, Peter, Launer, Lenore J, Hofman, Albert, Markus, Marcello RP, Rose, Lynda M, Silander, Kaisa, Wagner, Peter, Benjamin, Emelia J, Lohman, Kurt, Stott, David J, Rivadeneira, Fernando, Harris, Tamara B, Levy, Daniel, Liu, Yongmei, Rimm, Eric B, Jukema, J Wouter, Völzke, Henry, Ridker, Paul M, Blankenberg, Stefan, Franco, Oscar H, Gudnason, Vilmundur, Psaty, Bruce M, Boerwinkle, Eric, and O'Donnell, Christopher J

Subjects
Epidemiology, Biological Sciences, Health Sciences, Genetics, Heart Disease - Coronary Heart Disease, Prevention, Human Genome, Cardiovascular, Heart Disease, 2.1 Biological and endogenous factors, Detection, screening and diagnosis, 4.2 Evaluation of markers and technologies, Aetiology, Good Health and Well Being, Aged, Cohort Studies, Cooperative Behavior, Coronary Artery Disease, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Middle Aged, Myocardial Infarction, Polymorphism, Single Nucleotide, Prospective Studies, General Science & Technology
Abstract

BackgroundData are limited on genome-wide association studies (GWAS) for incident coronary heart disease (CHD). Moreover, it is not known whether genetic variants identified to date also associate with risk of CHD in a prospective setting.MethodsWe performed a two-stage GWAS analysis of incident myocardial infarction (MI) and CHD in a total of 64,297 individuals (including 3898 MI cases, 5465 CHD cases). SNPs that passed an arbitrary threshold of 5×10-6 in Stage I were taken to Stage II for further discovery. Furthermore, in an analysis of prognosis, we studied whether known SNPs from former GWAS were associated with total mortality in individuals who experienced MI during follow-up.ResultsIn Stage I 15 loci passed the threshold of 5×10-6; 8 loci for MI and 8 loci for CHD, for which one locus overlapped and none were reported in previous GWAS meta-analyses. We took 60 SNPs representing these 15 loci to Stage II of discovery. Four SNPs near QKI showed nominally significant association with MI (p-value

Published
2016

43. White Matter Lesion Progression

Author

Hofer, Edith, Cavalieri, Margherita, Bis, Joshua C, DeCarli, Charles, Fornage, Myriam, Sigurdsson, Sigurdur, Srikanth, Velandai, Trompet, Stella, Verhaaren, Benjamin FJ, Wolf, Christiane, Yang, Qiong, Adams, Hieab HH, Amouyel, Philippe, Beiser, Alexa, Buckley, Brendan M, Callisaya, Michele, Chauhan, Ganesh, de Craen, Anton JM, Dufouil, Carole, van Duijn, Cornelia M, Ford, Ian, Freudenberger, Paul, Gottesman, Rebecca F, Gudnason, Vilmundur, Heiss, Gerardo, Hofman, Albert, Lumley, Thomas, Martinez, Oliver, Mazoyer, Bernard, Moran, Chris, Niessen, Wiro J, Phan, Thanh, Psaty, Bruce M, Satizabal, Claudia L, Sattar, Naveed, Schilling, Sabrina, Shibata, Dean K, Slagboom, P Eline, Smith, Albert, Stott, David J, Taylor, Kent D, Thomson, Russell, Töglhofer, Anna M, Tzourio, Christophe, van Buchem, Mark, Wang, Jing, Westendorp, Rudi GJ, Windham, B Gwen, Vernooij, Meike W, Zijdenbos, Alex, Beare, Richard, Debette, Stéphanie, Ikram, M Arfan, Jukema, J Wouter, Launer, Lenore J, Longstreth, WT, Mosley, Thomas H, Seshadri, Sudha, Schmidt, Helena, and Schmidt, Reinhold

Subjects
Aging, Clinical Research, Genetics, Human Genome, Prevention, Cardiovascular, Aetiology, 2.1 Biological and endogenous factors, Adult, Aged, Cohort Studies, Disease Progression, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Leukoencephalopathies, Male, Middle Aged, Prospective Studies, White Matter, Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium, aging, biological factors, cerebral small vessel diseases, magnetic resonance imaging, white matter lesions, Cardiorespiratory Medicine and Haematology, Clinical Sciences, Neurosciences, Neurology & Neurosurgery
Abstract

Background and purposeWhite matter lesion (WML) progression on magnetic resonance imaging is related to cognitive decline and stroke, but its determinants besides baseline WML burden are largely unknown. Here, we estimated heritability of WML progression, and sought common genetic variants associated with WML progression in elderly participants from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium.MethodsHeritability of WML progression was calculated in the Framingham Heart Study. The genome-wide association study included 7773 elderly participants from 10 cohorts. To assess the relative contribution of genetic factors to progression of WML, we compared in 7 cohorts risk models including demographics, vascular risk factors plus single-nucleotide polymorphisms that have been shown to be associated cross-sectionally with WML in the current and previous association studies.ResultsA total of 1085 subjects showed WML progression. The heritability estimate for WML progression was low at 6.5%, and no single-nucleotide polymorphisms achieved genome-wide significance (P

Published
2015

44. Large-scale genomic analyses link reproductive aging to hypothalamic signaling, breast cancer susceptibility and BRCA1-mediated DNA repair.

Author

Day, Felix R, Ruth, Katherine S, Thompson, Deborah J, Lunetta, Kathryn L, Pervjakova, Natalia, Chasman, Daniel I, Stolk, Lisette, Finucane, Hilary K, Sulem, Patrick, Bulik-Sullivan, Brendan, Esko, Tõnu, Johnson, Andrew D, Elks, Cathy E, Franceschini, Nora, He, Chunyan, Altmaier, Elisabeth, Brody, Jennifer A, Franke, Lude L, Huffman, Jennifer E, Keller, Margaux F, McArdle, Patrick F, Nutile, Teresa, Porcu, Eleonora, Robino, Antonietta, Rose, Lynda M, Schick, Ursula M, Smith, Jennifer A, Teumer, Alexander, Traglia, Michela, Vuckovic, Dragana, Yao, Jie, Zhao, Wei, Albrecht, Eva, Amin, Najaf, Corre, Tanguy, Hottenga, Jouke-Jan, Mangino, Massimo, Smith, Albert V, Tanaka, Toshiko, Abecasis, Goncalo, Andrulis, Irene L, Anton-Culver, Hoda, Antoniou, Antonis C, Arndt, Volker, Arnold, Alice M, Barbieri, Caterina, Beckmann, Matthias W, Beeghly-Fadiel, Alicia, Benitez, Javier, Bernstein, Leslie, Bielinski, Suzette J, Blomqvist, Carl, Boerwinkle, Eric, Bogdanova, Natalia V, Bojesen, Stig E, Bolla, Manjeet K, Borresen-Dale, Anne-Lise, Boutin, Thibaud S, Brauch, Hiltrud, Brenner, Hermann, Brüning, Thomas, Burwinkel, Barbara, Campbell, Archie, Campbell, Harry, Chanock, Stephen J, Chapman, J Ross, Chen, Yii-Der Ida, Chenevix-Trench, Georgia, Couch, Fergus J, Coviello, Andrea D, Cox, Angela, Czene, Kamila, Darabi, Hatef, De Vivo, Immaculata, Demerath, Ellen W, Dennis, Joe, Devilee, Peter, Dörk, Thilo, Dos-Santos-Silva, Isabel, Dunning, Alison M, Eicher, John D, Fasching, Peter A, Faul, Jessica D, Figueroa, Jonine, Flesch-Janys, Dieter, Gandin, Ilaria, Garcia, Melissa E, García-Closas, Montserrat, Giles, Graham G, Girotto, Giorgia G, Goldberg, Mark S, González-Neira, Anna, Goodarzi, Mark O, Grove, Megan L, Gudbjartsson, Daniel F, Guénel, Pascal, Guo, Xiuqing, Haiman, Christopher A, Hall, Per, and Hamann, Ute

Subjects
PRACTICAL consortium, kConFab Investigators, AOCS Investigators, Generation Scotland, EPIC-InterAct Consortium, LifeLines Cohort Study, Hypothalamus, Humans, Breast Neoplasms, Genetic Predisposition to Disease, BRCA1 Protein, Genomics, Age Factors, Signal Transduction, DNA Repair, Aging, Reproduction, Menopause, Genotype, Phenotype, Models, Genetic, Adult, Middle Aged, Female, Gene Regulatory Networks, Genetic Variation, Genome-Wide Association Study, Models, Genetic, Developmental Biology, Medical and Health Sciences, Biological Sciences
Abstract

Menopause timing has a substantial impact on infertility and risk of disease, including breast cancer, but the underlying mechanisms are poorly understood. We report a dual strategy in ∼70,000 women to identify common and low-frequency protein-coding variation associated with age at natural menopause (ANM). We identified 44 regions with common variants, including two regions harboring additional rare missense alleles of large effect. We found enrichment of signals in or near genes involved in delayed puberty, highlighting the first molecular links between the onset and end of reproductive lifespan. Pathway analyses identified major association with DNA damage response (DDR) genes, including the first common coding variant in BRCA1 associated with any complex trait. Mendelian randomization analyses supported a causal effect of later ANM on breast cancer risk (∼6% increase in risk per year; P = 3 × 10(-14)), likely mediated by prolonged sex hormone exposure rather than DDR mechanisms.

Published
2015

45. The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study.

Author

Winkler, Thomas W, Justice, Anne E, Graff, Mariaelisa, Barata, Llilda, Feitosa, Mary F, Chu, Su, Czajkowski, Jacek, Esko, Tõnu, Fall, Tove, Kilpeläinen, Tuomas O, Lu, Yingchang, Mägi, Reedik, Mihailov, Evelin, Pers, Tune H, Rüeger, Sina, Teumer, Alexander, Ehret, Georg B, Ferreira, Teresa, Heard-Costa, Nancy L, Karjalainen, Juha, Lagou, Vasiliki, Mahajan, Anubha, Neinast, Michael D, Prokopenko, Inga, Simino, Jeannette, Teslovich, Tanya M, Jansen, Rick, Westra, Harm-Jan, White, Charles C, Absher, Devin, Ahluwalia, Tarunveer S, Ahmad, Shafqat, Albrecht, Eva, Alves, Alexessander Couto, Bragg-Gresham, Jennifer L, de Craen, Anton JM, Bis, Joshua C, Bonnefond, Amélie, Boucher, Gabrielle, Cadby, Gemma, Cheng, Yu-Ching, Chiang, Charleston WK, Delgado, Graciela, Demirkan, Ayse, Dueker, Nicole, Eklund, Niina, Eiriksdottir, Gudny, Eriksson, Joel, Feenstra, Bjarke, Fischer, Krista, Frau, Francesca, Galesloot, Tessel E, Geller, Frank, Goel, Anuj, Gorski, Mathias, Grammer, Tanja B, Gustafsson, Stefan, Haitjema, Saskia, Hottenga, Jouke-Jan, Huffman, Jennifer E, Jackson, Anne U, Jacobs, Kevin B, Johansson, Åsa, Kaakinen, Marika, Kleber, Marcus E, Lahti, Jari, Mateo Leach, Irene, Lehne, Benjamin, Liu, Youfang, Lo, Ken Sin, Lorentzon, Mattias, Luan, Jian'an, Madden, Pamela AF, Mangino, Massimo, McKnight, Barbara, Medina-Gomez, Carolina, Monda, Keri L, Montasser, May E, Müller, Gabriele, Müller-Nurasyid, Martina, Nolte, Ilja M, Panoutsopoulou, Kalliope, Pascoe, Laura, Paternoster, Lavinia, Rayner, Nigel W, Renström, Frida, Rizzi, Federica, Rose, Lynda M, Ryan, Kathy A, Salo, Perttu, Sanna, Serena, Scharnagl, Hubert, Shi, Jianxin, Smith, Albert Vernon, Southam, Lorraine, Stančáková, Alena, Steinthorsdottir, Valgerdur, Strawbridge, Rona J, Sung, Yun Ju, and Tachmazidou, Ioanna

Subjects
CHARGE Consortium, DIAGRAM Consortium, GLGC Consortium, Global-BPGen Consortium, ICBP Consortium, MAGIC Consortium, Humans, Genetic Predisposition to Disease, Body Mass Index, Body Size, Waist-Hip Ratio, Chromosome Mapping, Age Factors, Sex Characteristics, Polymorphism, Single Nucleotide, Adult, Aged, Middle Aged, European Continental Ancestry Group, Female, Male, Genome-Wide Association Study, Developmental Biology, Genetics
Abstract

Genome-wide association studies (GWAS) have identified more than 100 genetic variants contributing to BMI, a measure of body size, or waist-to-hip ratio (adjusted for BMI, WHRadjBMI), a measure of body shape. Body size and shape change as people grow older and these changes differ substantially between men and women. To systematically screen for age- and/or sex-specific effects of genetic variants on BMI and WHRadjBMI, we performed meta-analyses of 114 studies (up to 320,485 individuals of European descent) with genome-wide chip and/or Metabochip data by the Genetic Investigation of Anthropometric Traits (GIANT) Consortium. Each study tested the association of up to ~2.8M SNPs with BMI and WHRadjBMI in four strata (men ≤50y, men >50y, women ≤50y, women >50y) and summary statistics were combined in stratum-specific meta-analyses. We then screened for variants that showed age-specific effects (G x AGE), sex-specific effects (G x SEX) or age-specific effects that differed between men and women (G x AGE x SEX). For BMI, we identified 15 loci (11 previously established for main effects, four novel) that showed significant (FDR

Published
2015

46. Directional dominance on stature and cognition in diverse human populations

Author

Joshi, Peter K, Esko, Tonu, Mattsson, Hannele, Eklund, Niina, Gandin, Ilaria, Nutile, Teresa, Jackson, Anne U, Schurmann, Claudia, Smith, Albert V, Zhang, Weihua, Okada, Yukinori, Stančáková, Alena, Faul, Jessica D, Zhao, Wei, Bartz, Traci M, Concas, Maria Pina, Franceschini, Nora, Enroth, Stefan, Vitart, Veronique, Trompet, Stella, Guo, Xiuqing, Chasman, Daniel I, O'Connel, Jeffrey R, Corre, Tanguy, Nongmaithem, Suraj S, Chen, Yuning, Mangino, Massimo, Ruggiero, Daniela, Traglia, Michela, Farmaki, Aliki-Eleni, Kacprowski, Tim, Bjonnes, Andrew, van der Spek, Ashley, Wu, Ying, Giri, Anil K, Yanek, Lisa R, Wang, Lihua, Hofer, Edith, Rietveld, Cornelius A, McLeod, Olga, Cornelis, Marilyn C, Pattaro, Cristian, Verweij, Niek, Baumbach, Clemens, Abdellaoui, Abdel, Warren, Helen R, Vuckovic, Dragana, Mei, Hao, Bouchard, Claude, Perry, John RB, Cappellani, Stefania, Mirza, Saira S, Benton, Miles C, Broeckel, Ulrich, Medland, Sarah E, Lind, Penelope A, Malerba, Giovanni, Drong, Alexander, Yengo, Loic, Bielak, Lawrence F, Zhi, Degui, van der Most, Peter J, Shriner, Daniel, Mägi, Reedik, Hemani, Gibran, Karaderi, Tugce, Wang, Zhaoming, Liu, Tian, Demuth, Ilja, Zhao, Jing Hua, Meng, Weihua, Lataniotis, Lazaros, van der Laan, Sander W, Bradfield, Jonathan P, Wood, Andrew R, Bonnefond, Amelie, Ahluwalia, Tarunveer S, Hall, Leanne M, Salvi, Erika, Yazar, Seyhan, Carstensen, Lisbeth, de Haan, Hugoline G, Abney, Mark, Afzal, Uzma, Allison, Matthew A, Amin, Najaf, Asselbergs, Folkert W, Bakker, Stephan JL, Barr, R Graham, Baumeister, Sebastian E, Benjamin, Daniel J, Bergmann, Sven, Boerwinkle, Eric, Bottinger, Erwin P, Campbell, Archie, Chakravarti, Aravinda, Chan, Yingleong, Chanock, Stephen J, Chen, Constance, and Chen, Y-D Ida

Subjects
Biological Sciences, Genetics, Clinical Research, Human Genome, Biological Evolution, Blood Pressure, Body Height, Cholesterol, LDL, Cognition, Cohort Studies, Educational Status, Female, Forced Expiratory Volume, Genome, Human, Homozygote, Humans, Lung Volume Measurements, Male, Phenotype, General Science & Technology
Abstract

Homozygosity has long been associated with rare, often devastating, Mendelian disorders, and Darwin was one of the first to recognize that inbreeding reduces evolutionary fitness. However, the effect of the more distant parental relatedness that is common in modern human populations is less well understood. Genomic data now allow us to investigate the effects of homozygosity on traits of public health importance by observing contiguous homozygous segments (runs of homozygosity), which are inferred to be homozygous along their complete length. Given the low levels of genome-wide homozygosity prevalent in most human populations, information is required on very large numbers of people to provide sufficient power. Here we use runs of homozygosity to study 16 health-related quantitative traits in 354,224 individuals from 102 cohorts, and find statistically significant associations between summed runs of homozygosity and four complex traits: height, forced expiratory lung volume in one second, general cognitive ability and educational attainment (P < 1 × 10(-300), 2.1 × 10(-6), 2.5 × 10(-10) and 1.8 × 10(-10), respectively). In each case, increased homozygosity was associated with decreased trait value, equivalent to the offspring of first cousins being 1.2 cm shorter and having 10 months' less education. Similar effect sizes were found across four continental groups and populations with different degrees of genome-wide homozygosity, providing evidence that homozygosity, rather than confounding, directly contributes to phenotypic variance. Contrary to earlier reports in substantially smaller samples, no evidence was seen of an influence of genome-wide homozygosity on blood pressure and low density lipoprotein cholesterol, or ten other cardio-metabolic traits. Since directional dominance is predicted for traits under directional evolutionary selection, this study provides evidence that increased stature and cognitive function have been positively selected in human evolution, whereas many important risk factors for late-onset complex diseases may not have been.

Published
2015

47. Association of Alzheimer's disease GWAS loci with MRI markers of brain aging

Author

Chauhan, Ganesh, Adams, Hieab HH, Bis, Joshua C, Weinstein, Galit, Yu, Lei, Töglhofer, Anna Maria, Smith, Albert Vernon, van der Lee, Sven J, Gottesman, Rebecca F, Thomson, Russell, Wang, Jing, Yang, Qiong, Niessen, Wiro J, Lopez, Oscar L, Becker, James T, Phan, Thanh G, Beare, Richard J, Arfanakis, Konstantinos, Fleischman, Debra, Vernooij, Meike W, Mazoyer, Bernard, Schmidt, Helena, Srikanth, Velandai, Knopman, David S, Jack, Clifford R, Amouyel, Philippe, Hofman, Albert, DeCarli, Charles, Tzourio, Christophe, van Duijn, Cornelia M, Bennett, David A, Schmidt, Reinhold, Longstreth, William T, Mosley, Thomas H, Fornage, Myriam, Launer, Lenore J, Seshadri, Sudha, Ikram, M Arfan, and Debette, Stephanie

Subjects
Biological Psychology, Biomedical and Clinical Sciences, Neurosciences, Psychology, Clinical Research, Prevention, Brain Disorders, Neurodegenerative, Alzheimer's Disease, Aging, Acquired Cognitive Impairment, Genetics, Human Genome, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Dementia, Aetiology, 4.1 Discovery and preclinical testing of markers and technologies, Detection, screening and diagnosis, 2.1 Biological and endogenous factors, Neurological, Alleles, Alzheimer Disease, Apolipoproteins E, Brain, Female, Genome-Wide Association Study, Hippocampus, Humans, Magnetic Resonance Imaging, Male, Organ Size, Polymorphism, Single Nucleotide, Risk, Sialic Acid Binding Ig-like Lectin 3, Alzheimer, MRI-Markers, Genetic risk score, GWAS, Hippocampal volume, Clinical Sciences, Neurology & Neurosurgery, Biological psychology
Abstract

Whether novel risk variants of Alzheimer's disease (AD) identified through genome-wide association studies also influence magnetic resonance imaging-based intermediate phenotypes of AD in the general population is unclear. We studied association of 24 AD risk loci with intracranial volume, total brain volume, hippocampal volume (HV), white matter hyperintensity burden, and brain infarcts in a meta-analysis of genetic association studies from large population-based samples (N = 8175-11,550). In single-SNP based tests, AD risk allele of APOE (rs2075650) was associated with smaller HV (p = 0.0054) and CD33 (rs3865444) with smaller intracranial volume (p = 0.0058). In gene-based tests, there was associations of HLA-DRB1 with total brain volume (p = 0.0006) and BIN1 with HV (p = 0.00089). A weighted AD genetic risk score was associated with smaller HV (beta ± SE = -0.047 ± 0.013, p = 0.00041), even after excluding the APOE locus (p = 0.029). However, only association of AD genetic risk score with HV, including APOE, was significant after multiple testing correction (including number of independent phenotypes tested). These results suggest that novel AD genetic risk variants may contribute to structural brain aging in nondemented older community persons.

Published
2015

48. Multiethnic Genome-Wide Association Study of Cerebral White Matter Hyperintensities on MRI

Author

Verhaaren, Benjamin FJ, Debette, Stéphanie, Bis, Joshua C, Smith, Jennifer A, Ikram, M Kamran, Adams, Hieab H, Beecham, Ashley H, Rajan, Kumar B, Lopez, Lorna M, Barral, Sandra, van Buchem, Mark A, van der Grond, Jeroen, Smith, Albert V, Hegenscheid, Katrin, Aggarwal, Neelum T, de Andrade, Mariza, Atkinson, Elizabeth J, Beekman, Marian, Beiser, Alexa S, Blanton, Susan H, Boerwinkle, Eric, Brickman, Adam M, Bryan, R Nick, Chauhan, Ganesh, Chen, Christopher PLH, Chouraki, Vincent, de Craen, Anton JM, Crivello, Fabrice, Deary, Ian J, Deelen, Joris, De Jager, Philip L, Dufouil, Carole, Elkind, Mitchell SV, Evans, Denis A, Freudenberger, Paul, Gottesman, Rebecca F, Guðnason, Vilmundur, Habes, Mohamad, Heckbert, Susan R, Heiss, Gerardo, Hilal, Saima, Hofer, Edith, Hofman, Albert, Ibrahim-Verbaas, Carla A, Knopman, David S, Lewis, Cora E, Liao, Jiemin, Liewald, David CM, Luciano, Michelle, van der Lugt, Aad, Martinez, Oliver O, Mayeux, Richard, Mazoyer, Bernard, Nalls, Mike, Nauck, Matthias, Niessen, Wiro J, Oostra, Ben A, Psaty, Bruce M, Rice, Kenneth M, Rotter, Jerome I, von Sarnowski, Bettina, Schmidt, Helena, Schreiner, Pamela J, Schuur, Maaike, Sidney, Stephen S, Sigurdsson, Sigurdur, Slagboom, P Eline, Stott, David JM, van Swieten, John C, Teumer, Alexander, Töglhofer, Anna Maria, Traylor, Matthew, Trompet, Stella, Turner, Stephen T, Tzourio, Christophe, Uh, Hae-Won, Uitterlinden, André G, Vernooij, Meike W, Wang, Jing J, Wong, Tien Y, Wardlaw, Joanna M, Windham, B Gwen, Wittfeld, Katharina, Wolf, Christiane, Wright, Clinton B, Yang, Qiong, Zhao, Wei, Zijdenbos, Alex, Jukema, J Wouter, Sacco, Ralph L, Kardia, Sharon LR, Amouyel, Philippe, Mosley, Thomas H, Longstreth, WT, DeCarli, Charles C, van Duijn, Cornelia M, Schmidt, Reinhold, Launer, Lenore J, Grabe, Hans J, and Seshadri, Sudha S

Subjects
Aging, Brain Disorders, Neurodegenerative, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Biotechnology, Human Genome, Genetics, Acquired Cognitive Impairment, Clinical Research, Dementia, Alzheimer's Disease, Prevention, Stroke, Neurosciences, Aetiology, 2.1 Biological and endogenous factors, Aged, Aged, 80 and over, Chromosomes, Human, Female, Genetic Loci, Genome-Wide Association Study, Humans, Male, Meta-Analysis as Topic, Middle Aged, Models, Genetic, Racial Groups, White Matter, cerebral small vessel diseases, cerebrovascular disorders, genome-wide association study, hypertension, leukoencephalopathies, polymorphisms, single nucleotide, Medical Biotechnology, Cardiorespiratory Medicine and Haematology, Cardiovascular System & Hematology
Abstract

BackgroundThe burden of cerebral white matter hyperintensities (WMH) is associated with an increased risk of stroke, dementia, and death. WMH are highly heritable, but their genetic underpinnings are incompletely characterized. To identify novel genetic variants influencing WMH burden, we conducted a meta-analysis of multiethnic genome-wide association studies.Methods and resultsWe included 21 079 middle-aged to elderly individuals from 29 population-based cohorts, who were free of dementia and stroke and were of European (n=17 936), African (n=1943), Hispanic (n=795), and Asian (n=405) descent. WMH burden was quantified on MRI either by a validated automated segmentation method or a validated visual grading scale. Genotype data in each study were imputed to the 1000 Genomes reference. Within each ethnic group, we investigated the relationship between each single-nucleotide polymorphism and WMH burden using a linear regression model adjusted for age, sex, intracranial volume, and principal components of ancestry. A meta-analysis was conducted for each ethnicity separately and for the combined sample. In the European descent samples, we confirmed a previously known locus on chr17q25 (P=2.7×10(-19)) and identified novel loci on chr10q24 (P=1.6×10(-9)) and chr2p21 (P=4.4×10(-8)). In the multiethnic meta-analysis, we identified 2 additional loci, on chr1q22 (P=2.0×10(-8)) and chr2p16 (P=1.5×10(-8)). The novel loci contained genes that have been implicated in Alzheimer disease (chr2p21 and chr10q24), intracerebral hemorrhage (chr1q22), neuroinflammatory diseases (chr2p21), and glioma (chr10q24 and chr2p16).ConclusionsWe identified 4 novel genetic loci that implicate inflammatory and glial proliferative pathways in the development of WMH in addition to previously proposed ischemic mechanisms.

Published
2015

49. GWAS of longevity in CHARGE consortium confirms APOE and FOXO3 candidacy.

Author

Broer, Linda, Buchman, Aron S, Deelen, Joris, Evans, Daniel S, Faul, Jessica D, Lunetta, Kathryn L, Sebastiani, Paola, Smith, Jennifer A, Smith, Albert V, Tanaka, Toshiko, Yu, Lei, Arnold, Alice M, Aspelund, Thor, Benjamin, Emelia J, De Jager, Philip L, Eirkisdottir, Gudny, Evans, Denis A, Garcia, Melissa E, Hofman, Albert, Kaplan, Robert C, Kardia, Sharon LR, Kiel, Douglas P, Oostra, Ben A, Orwoll, Eric S, Parimi, Neeta, Psaty, Bruce M, Rivadeneira, Fernando, Rotter, Jerome I, Seshadri, Sudha, Singleton, Andrew, Tiemeier, Henning, Uitterlinden, André G, Zhao, Wei, Bandinelli, Stefania, Bennett, David A, Ferrucci, Luigi, Gudnason, Vilmundur, Harris, Tamara B, Karasik, David, Launer, Lenore J, Perls, Thomas T, Slagboom, P Eline, Tranah, Gregory J, Weir, David R, Newman, Anne B, van Duijn, Cornelia M, and Murabito, Joanne M

Subjects
Humans, Apolipoproteins E, Cell Adhesion Molecules, Receptors, Kainic Acid, Cohort Studies, Longevity, Polymorphism, Single Nucleotide, Aged, Aged, 80 and over, Middle Aged, Female, Male, Forkhead Transcription Factors, Genome-Wide Association Study, Forkhead Box Protein O3, APOE., FOXO3, GWAS, APOE, Receptors, Kainic Acid, Polymorphism, Single Nucleotide, and over, Gerontology, Clinical Sciences
Abstract

BackgroundThe genetic contribution to longevity in humans has been estimated to range from 15% to 25%. Only two genes, APOE and FOXO3, have shown association with longevity in multiple independent studies.MethodsWe conducted a meta-analysis of genome-wide association studies including 6,036 longevity cases, age ≥90 years, and 3,757 controls that died between ages 55 and 80 years. We additionally attempted to replicate earlier identified single nucleotide polymorphism (SNP) associations with longevity.ResultsIn our meta-analysis, we found suggestive evidence for the association of SNPs near CADM2 (odds ratio [OR] = 0.81; p value = 9.66 × 10(-7)) and GRIK2 (odds ratio = 1.24; p value = 5.09 × 10(-8)) with longevity. When attempting to replicate findings earlier identified in genome-wide association studies, only the APOE locus consistently replicated. In an additional look-up of the candidate gene FOXO3, we found that an earlier identified variant shows a highly significant association with longevity when including published data with our meta-analysis (odds ratio = 1.17; p value = 1.85×10(-10)).ConclusionsWe did not identify new genome-wide significant associations with longevity and did not replicate earlier findings except for APOE and FOXO3. Our inability to find new associations with survival to ages ≥90 years because longevity represents multiple complex traits with heterogeneous genetic underpinnings, or alternatively, that longevity may be regulated by rare variants that are not captured by standard genome-wide genotyping and imputation of common variants.

Published
2015

50. Drug-Gene Interactions of Antihypertensive Medications and Risk of Incident Cardiovascular Disease: A Pharmacogenomics Study from the CHARGE Consortium.

Author

Bis, Joshua C, Sitlani, Colleen, Irvin, Ryan, Avery, Christy L, Smith, Albert Vernon, Sun, Fangui, Evans, Daniel S, Musani, Solomon K, Li, Xiaohui, Trompet, Stella, Krijthe, Bouwe P, Harris, Tamara B, Quibrera, P Miguel, Brody, Jennifer A, Demissie, Serkalem, Davis, Barry R, Wiggins, Kerri L, Tranah, Gregory J, Lange, Leslie A, Sotoodehnia, Nona, Stott, David J, Franco, Oscar H, Launer, Lenore J, Stürmer, Til, Taylor, Kent D, Cupples, L Adrienne, Eckfeldt, John H, Smith, Nicholas L, Liu, Yongmei, Wilson, James G, Heckbert, Susan R, Buckley, Brendan M, Ikram, M Arfan, Boerwinkle, Eric, Chen, Yii-Der Ida, de Craen, Anton JM, Uitterlinden, Andre G, Rotter, Jerome I, Ford, Ian, Hofman, Albert, Sattar, Naveed, Slagboom, P Eline, Westendorp, Rudi GJ, Gudnason, Vilmundur, Vasan, Ramachandran S, Lumley, Thomas, Cummings, Steven R, Taylor, Herman A, Post, Wendy, Jukema, J Wouter, Stricker, Bruno H, Whitsel, Eric A, Psaty, Bruce M, and Arnett, Donna

Subjects
Humans, Cardiovascular Diseases, Hypertension, Antihypertensive Agents, Treatment Outcome, Incidence, Polymorphism, Single Nucleotide, Aged, Middle Aged, African Americans, European Continental Ancestry Group, Female, Male, Genome-Wide Association Study, Polymorphism, Single Nucleotide, General Science & Technology
Abstract

BackgroundHypertension is a major risk factor for a spectrum of cardiovascular diseases (CVD), including myocardial infarction, sudden death, and stroke. In the US, over 65 million people have high blood pressure and a large proportion of these individuals are prescribed antihypertensive medications. Although large long-term clinical trials conducted in the last several decades have identified a number of effective antihypertensive treatments that reduce the risk of future clinical complications, responses to therapy and protection from cardiovascular events vary among individuals.MethodsUsing a genome-wide association study among 21,267 participants with pharmaceutically treated hypertension, we explored the hypothesis that genetic variants might influence or modify the effectiveness of common antihypertensive therapies on the risk of major cardiovascular outcomes. The classes of drug treatments included angiotensin-converting enzyme inhibitors, beta-blockers, calcium channel blockers, and diuretics. In the setting of the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium, each study performed array-based genome-wide genotyping, imputed to HapMap Phase II reference panels, and used additive genetic models in proportional hazards or logistic regression models to evaluate drug-gene interactions for each of four therapeutic drug classes. We used meta-analysis to combine study-specific interaction estimates for approximately 2 million single nucleotide polymorphisms (SNPs) in a discovery analysis among 15,375 European Ancestry participants (3,527 CVD cases) with targeted follow-up in a case-only study of 1,751 European Ancestry GenHAT participants as well as among 4,141 African-Americans (1,267 CVD cases).ResultsAlthough drug-SNP interactions were biologically plausible, exposures and outcomes were well measured, and power was sufficient to detect modest interactions, we did not identify any statistically significant interactions from the four antihypertensive therapy meta-analyses (Pinteraction > 5.0×10-8). Similarly, findings were null for meta-analyses restricted to 66 SNPs with significant main effects on coronary artery disease or blood pressure from large published genome-wide association studies (Pinteraction ≥ 0.01). Our results suggest that there are no major pharmacogenetic influences of common SNPs on the relationship between blood pressure medications and the risk of incident CVD.

Published
2015

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