@article {6092, title = {Genome-wide association studies identify CHRNA5/3 and HTR4 in the development of airflow obstruction.}, journal = {Am J Respir Crit Care Med}, volume = {186}, year = {2012}, month = {2012 Oct 01}, pages = {622-32}, abstract = {

RATIONALE: Genome-wide association studies (GWAS) have identified loci influencing lung function, but fewer genes influencing chronic obstructive pulmonary disease (COPD) are known.

OBJECTIVES: Perform meta-analyses of GWAS for airflow obstruction, a key pathophysiologic characteristic of COPD assessed by spirometry, in population-based cohorts examining all participants, ever smokers, never smokers, asthma-free participants, and more severe cases.

METHODS: Fifteen cohorts were studied for discovery (3,368 affected; 29,507 unaffected), and a population-based family study and a meta-analysis of case-control studies were used for replication and regional follow-up (3,837 cases; 4,479 control subjects). Airflow obstruction was defined as FEV(1) and its ratio to FVC (FEV(1)/FVC) both less than their respective lower limits of normal as determined by published reference equations.

MEASUREMENTS AND MAIN RESULTS: The discovery meta-analyses identified one region on chromosome 15q25.1 meeting genome-wide significance in ever smokers that includes AGPHD1, IREB2, and CHRNA5/CHRNA3 genes. The region was also modestly associated among never smokers. Gene expression studies confirmed the presence of CHRNA5/3 in lung, airway smooth muscle, and bronchial epithelial cells. A single-nucleotide polymorphism in HTR4, a gene previously related to FEV(1)/FVC, achieved genome-wide statistical significance in combined meta-analysis. Top single-nucleotide polymorphisms in ADAM19, RARB, PPAP2B, and ADAMTS19 were nominally replicated in the COPD meta-analysis.

CONCLUSIONS: These results suggest an important role for the CHRNA5/3 region as a genetic risk factor for airflow obstruction that may be independent of smoking and implicate the HTR4 gene in the etiology of airflow obstruction.

}, keywords = {Aged, Female, Forced Expiratory Volume, Genome-Wide Association Study, Humans, Male, Middle Aged, Nerve Tissue Proteins, Polymorphism, Single Nucleotide, Pulmonary Disease, Chronic Obstructive, Receptors, Nicotinic, Receptors, Serotonin, 5-HT4, Smoking, Vital Capacity}, issn = {1535-4970}, doi = {10.1164/rccm.201202-0366OC}, author = {Wilk, Jemma B and Shrine, Nick R G and Loehr, Laura R and Zhao, Jing Hua and Manichaikul, Ani and Lopez, Lorna M and Smith, Albert Vernon and Heckbert, Susan R and Smolonska, Joanna and Tang, Wenbo and Loth, Daan W and Curjuric, Ivan and Hui, Jennie and Cho, Michael H and Latourelle, Jeanne C and Henry, Amanda P and Aldrich, Melinda and Bakke, Per and Beaty, Terri H and Bentley, Amy R and Borecki, Ingrid B and Brusselle, Guy G and Burkart, Kristin M and Chen, Ting-Hsu and Couper, David and Crapo, James D and Davies, Gail and Dupuis, Jos{\'e}e and Franceschini, Nora and Gulsvik, Amund and Hancock, Dana B and Harris, Tamara B and Hofman, Albert and Imboden, Medea and James, Alan L and Khaw, Kay-Tee and Lahousse, Lies and Launer, Lenore J and Litonjua, Augusto and Liu, Yongmei and Lohman, Kurt K and Lomas, David A and Lumley, Thomas and Marciante, Kristin D and McArdle, Wendy L and Meibohm, Bernd and Morrison, Alanna C and Musk, Arthur W and Myers, Richard H and North, Kari E and Postma, Dirkje S and Psaty, Bruce M and Rich, Stephen S and Rivadeneira, Fernando and Rochat, Thierry and Rotter, Jerome I and Soler Artigas, Maria and Starr, John M and Uitterlinden, Andr{\'e} G and Wareham, Nicholas J and Wijmenga, Cisca and Zanen, Pieter and Province, Michael A and Silverman, Edwin K and Deary, Ian J and Palmer, Lyle J and Cassano, Patricia A and Gudnason, Vilmundur and Barr, R Graham and Loos, Ruth J F and Strachan, David P and London, Stephanie J and Boezen, H Marike and Probst-Hensch, Nicole and Gharib, Sina A and Hall, Ian P and O{\textquoteright}Connor, George T and Tobin, Martin D and Stricker, Bruno H} } @article {7594, title = {Association Between Telomere Length and Risk of Cancer and Non-Neoplastic Diseases: A Mendelian Randomization Study.}, journal = {JAMA Oncol}, volume = {3}, year = {2017}, month = {2017 May 01}, pages = {636-651}, abstract = {

Importance: The causal direction and magnitude of the association between telomere length and incidence of cancer and non-neoplastic diseases is uncertain owing to the susceptibility of observational studies to confounding and reverse causation.

Objective: To conduct a Mendelian randomization study, using germline genetic variants as instrumental variables, to appraise the causal relevance of telomere length for risk of cancer and non-neoplastic diseases.

Data Sources: Genomewide association studies (GWAS) published up to January 15, 2015.

Study Selection: GWAS of noncommunicable diseases that assayed germline genetic variation and did not select cohort or control participants on the basis of preexisting diseases. Of 163 GWAS of noncommunicable diseases identified, summary data from 103 were available.

Data Extraction and Synthesis: Summary association statistics for single nucleotide polymorphisms (SNPs) that are strongly associated with telomere length in the general population.

Main Outcomes and Measures: Odds ratios (ORs) and 95\% confidence intervals (CIs) for disease per standard deviation (SD) higher telomere length due to germline genetic variation.

Results: Summary data were available for 35 cancers and 48 non-neoplastic diseases, corresponding to 420 081 cases (median cases, 2526 per disease) and 1 093 105 controls (median, 6789 per disease). Increased telomere length due to germline genetic variation was generally associated with increased risk for site-specific cancers. The strongest associations (ORs [95\% CIs] per 1-SD change in genetically increased telomere length) were observed for glioma, 5.27 (3.15-8.81); serous low-malignant-potential ovarian cancer, 4.35 (2.39-7.94); lung adenocarcinoma, 3.19 (2.40-4.22); neuroblastoma, 2.98 (1.92-4.62); bladder cancer, 2.19 (1.32-3.66); melanoma, 1.87 (1.55-2.26); testicular cancer, 1.76 (1.02-3.04); kidney cancer, 1.55 (1.08-2.23); and endometrial cancer, 1.31 (1.07-1.61). Associations were stronger for rarer cancers and at tissue sites with lower rates of stem cell division. There was generally little evidence of association between genetically increased telomere length and risk of psychiatric, autoimmune, inflammatory, diabetic, and other non-neoplastic diseases, except for coronary heart disease (OR, 0.78 [95\% CI, 0.67-0.90]), abdominal aortic aneurysm (OR, 0.63 [95\% CI, 0.49-0.81]), celiac disease (OR, 0.42 [95\% CI, 0.28-0.61]) and interstitial lung disease (OR, 0.09 [95\% CI, 0.05-0.15]).

Conclusions and Relevance: It is likely that longer telomeres increase risk for several cancers but reduce risk for some non-neoplastic diseases, including cardiovascular diseases.

}, keywords = {Adult, Aged, Aged, 80 and over, Cardiovascular Diseases, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Germ-Line Mutation, Humans, Male, Mendelian Randomization Analysis, Middle Aged, Neoplasms, Polymorphism, Single Nucleotide, Risk Assessment, Telomere, Telomere Homeostasis}, issn = {2374-2445}, doi = {10.1001/jamaoncol.2016.5945}, author = {Haycock, Philip C and Burgess, Stephen and Nounu, Aayah and Zheng, Jie and Okoli, George N and Bowden, Jack and Wade, Kaitlin Hazel and Timpson, Nicholas J and Evans, David M and Willeit, Peter and Aviv, Abraham and Gaunt, Tom R and Hemani, Gibran and Mangino, Massimo and Ellis, Hayley Patricia and Kurian, Kathreena M and Pooley, Karen A and Eeles, Rosalind A and Lee, Jeffrey E and Fang, Shenying and Chen, Wei V and Law, Matthew H and Bowdler, Lisa M and Iles, Mark M and Yang, Qiong and Worrall, Bradford B and Markus, Hugh Stephen and Hung, Rayjean J and Amos, Chris I and Spurdle, Amanda B and Thompson, Deborah J and O{\textquoteright}Mara, Tracy A and Wolpin, Brian and Amundadottir, Laufey and Stolzenberg-Solomon, Rachael and Trichopoulou, Antonia and Onland-Moret, N Charlotte and Lund, Eiliv and Duell, Eric J and Canzian, Federico and Severi, Gianluca and Overvad, Kim and Gunter, Marc J and Tumino, Rosario and Svenson, Ulrika and van Rij, Andre and Baas, Annette F and Bown, Matthew J and Samani, Nilesh J and van t{\textquoteright}Hof, Femke N G and Tromp, Gerard and Jones, Gregory T and Kuivaniemi, Helena and Elmore, James R and Johansson, Mattias and Mckay, James and Scelo, Ghislaine and Carreras-Torres, Robert and Gaborieau, Valerie and Brennan, Paul and Bracci, Paige M and Neale, Rachel E and Olson, Sara H and Gallinger, Steven and Li, Donghui and Petersen, Gloria M and Risch, Harvey A and Klein, Alison P and Han, Jiali and Abnet, Christian C and Freedman, Neal D and Taylor, Philip R and Maris, John M and Aben, Katja K and Kiemeney, Lambertus A and Vermeulen, Sita H and Wiencke, John K and Walsh, Kyle M and Wrensch, Margaret and Rice, Terri and Turnbull, Clare and Litchfield, Kevin and Paternoster, Lavinia and Standl, Marie and Abecasis, Goncalo R and SanGiovanni, John Paul and Li, Yong and Mijatovic, Vladan and Sapkota, Yadav and Low, Siew-Kee and Zondervan, Krina T and Montgomery, Grant W and Nyholt, Dale R and van Heel, David A and Hunt, Karen and Arking, Dan E and Ashar, Foram N and Sotoodehnia, Nona and Woo, Daniel and Rosand, Jonathan and Comeau, Mary E and Brown, W Mark and Silverman, Edwin K and Hokanson, John E and Cho, Michael H and Hui, Jennie and Ferreira, Manuel A and Thompson, Philip J and Morrison, Alanna C and Felix, Janine F and Smith, Nicholas L and Christiano, Angela M and Petukhova, Lynn and Betz, Regina C and Fan, Xing and Zhang, Xuejun and Zhu, Caihong and Langefeld, Carl D and Thompson, Susan D and Wang, Feijie and Lin, Xu and Schwartz, David A and Fingerlin, Tasha and Rotter, Jerome I and Cotch, Mary Frances and Jensen, Richard A and Munz, Matthias and Dommisch, Henrik and Schaefer, Arne S and Han, Fang and Ollila, Hanna M and Hillary, Ryan P and Albagha, Omar and Ralston, Stuart H and Zeng, Chenjie and Zheng, Wei and Shu, Xiao-Ou and Reis, Andre and Uebe, Steffen and H{\"u}ffmeier, Ulrike and Kawamura, Yoshiya and Otowa, Takeshi and Sasaki, Tsukasa and Hibberd, Martin Lloyd and Davila, Sonia and Xie, Gang and Siminovitch, Katherine and Bei, Jin-Xin and Zeng, Yi-Xin and F{\"o}rsti, Asta and Chen, Bowang and Landi, Stefano and Franke, Andre and Fischer, Annegret and Ellinghaus, David and Flores, Carlos and Noth, Imre and Ma, Shwu-Fan and Foo, Jia Nee and Liu, Jianjun and Kim, Jong-Won and Cox, David G and Delattre, Olivier and Mirabeau, Olivier and Skibola, Christine F and Tang, Clara S and Garcia-Barcelo, Merce and Chang, Kai-Ping and Su, Wen-Hui and Chang, Yu-Sun and Martin, Nicholas G and Gordon, Scott and Wade, Tracey D and Lee, Chaeyoung and Kubo, Michiaki and Cha, Pei-Chieng and Nakamura, Yusuke and Levy, Daniel and Kimura, Masayuki and Hwang, Shih-Jen and Hunt, Steven and Spector, Tim and Soranzo, Nicole and Manichaikul, Ani W and Barr, R Graham and Kahali, Bratati and Speliotes, Elizabeth and Yerges-Armstrong, Laura M and Cheng, Ching-Yu and Jonas, Jost B and Wong, Tien Yin and Fogh, Isabella and Lin, Kuang and Powell, John F and Rice, Kenneth and Relton, Caroline L and Martin, Richard M and Davey Smith, George} } @article {7345, title = {Genetic loci associated with chronic obstructive pulmonary disease overlap with loci for lung function and pulmonary fibrosis.}, journal = {Nat Genet}, volume = {49}, year = {2017}, month = {2017 Mar}, pages = {426-432}, abstract = {

Chronic obstructive pulmonary disease (COPD) is a leading cause of mortality worldwide. We performed a genetic association study in 15,256 cases and 47,936 controls, with replication of select top results (P < 5 {\texttimes} 10(-6)) in 9,498 cases and 9,748 controls. In the combined meta-analysis, we identified 22 loci associated at genome-wide significance, including 13 new associations with COPD. Nine of these 13 loci have been associated with lung function in general population samples, while 4 (EEFSEC, DSP, MTCL1, and SFTPD) are new. We noted two loci shared with pulmonary fibrosis (FAM13A and DSP) but that had opposite risk alleles for COPD. None of our loci overlapped with genome-wide associations for asthma, although one locus has been implicated in joint susceptibility to asthma and obesity. We also identified genetic correlation between COPD and asthma. Our findings highlight new loci associated with COPD, demonstrate the importance of specific loci associated with lung function to COPD, and identify potential regions of genetic overlap between COPD and other respiratory diseases.

}, issn = {1546-1718}, doi = {10.1038/ng.3752}, author = {Hobbs, Brian D and de Jong, Kim and Lamontagne, Maxime and Boss{\'e}, Yohan and Shrine, Nick and Artigas, Maria Soler and Wain, Louise V and Hall, Ian P and Jackson, Victoria E and Wyss, Annah B and London, Stephanie J and North, Kari E and Franceschini, Nora and Strachan, David P and Beaty, Terri H and Hokanson, John E and Crapo, James D and Castaldi, Peter J and Chase, Robert P and Bartz, Traci M and Heckbert, Susan R and Psaty, Bruce M and Gharib, Sina A and Zanen, Pieter and Lammers, Jan W and Oudkerk, Matthijs and Groen, H J and Locantore, Nicholas and Tal-Singer, Ruth and Rennard, Stephen I and Vestbo, J{\o}rgen and Timens, Wim and Par{\'e}, Peter D and Latourelle, Jeanne C and Dupuis, Jos{\'e}e and O{\textquoteright}Connor, George T and Wilk, Jemma B and Kim, Woo Jin and Lee, Mi Kyeong and Oh, Yeon-Mok and Vonk, Judith M and de Koning, Harry J and Leng, Shuguang and Belinsky, Steven A and Tesfaigzi, Yohannes and Manichaikul, Ani and Wang, Xin-Qun and Rich, Stephen S and Barr, R Graham and Sparrow, David and Litonjua, Augusto A and Bakke, Per and Gulsvik, Amund and Lahousse, Lies and Brusselle, Guy G and Stricker, Bruno H and Uitterlinden, Andr{\'e} G and Ampleford, Elizabeth J and Bleecker, Eugene R and Woodruff, Prescott G and Meyers, Deborah A and Qiao, Dandi and Lomas, David A and Yim, Jae-Joon and Kim, Deog Kyeom and Hawrylkiewicz, Iwona and Sliwinski, Pawel and Hardin, Megan and Fingerlin, Tasha E and Schwartz, David A and Postma, Dirkje S and MacNee, William and Tobin, Martin D and Silverman, Edwin K and Boezen, H Marike and Cho, Michael H} } @article {7819, title = {Multiethnic meta-analysis identifies ancestry-specific and cross-ancestry loci for pulmonary function.}, journal = {Nat Commun}, volume = {9}, year = {2018}, month = {2018 Jul 30}, pages = {2976}, 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.

}, issn = {2041-1723}, doi = {10.1038/s41467-018-05369-0}, author = {Wyss, Annah B and Sofer, Tamar and Lee, Mi Kyeong and Terzikhan, Natalie and Nguyen, Jennifer N and Lahousse, Lies and Latourelle, Jeanne C and Smith, Albert Vernon and Bartz, Traci M and Feitosa, Mary F and Gao, Wei and Ahluwalia, Tarunveer S and Tang, Wenbo and Oldmeadow, Christopher and Duan, Qing and de Jong, Kim and Wojczynski, Mary K and Wang, Xin-Qun and Noordam, Raymond and Hartwig, Fernando Pires and Jackson, Victoria E and Wang, Tianyuan and Obeidat, Ma{\textquoteright}en and Hobbs, Brian D and Huan, Tianxiao and Gui, Hongsheng and Parker, Margaret M and Hu, Donglei and Mogil, Lauren S and Kichaev, Gleb and Jin, Jianping and Graff, Mariaelisa and Harris, Tamara B and Kalhan, Ravi and Heckbert, Susan R and Paternoster, Lavinia and Burkart, Kristin M and Liu, Yongmei and Holliday, Elizabeth G and Wilson, James G and Vonk, Judith M and Sanders, Jason L and Barr, R Graham and de Mutsert, Ren{\'e}e and Menezes, Ana Maria Baptista and Adams, Hieab H H and van den Berge, Maarten and Joehanes, Roby and Levin, Albert M and Liberto, Jennifer and Launer, Lenore J and Morrison, Alanna C and Sitlani, Colleen M and Celed{\'o}n, Juan C and Kritchevsky, Stephen B and Scott, Rodney J and Christensen, Kaare and Rotter, Jerome I and Bonten, Tobias N and Wehrmeister, Fernando C{\'e}sar and Boss{\'e}, Yohan and Xiao, Shujie and Oh, Sam and Franceschini, Nora and Brody, Jennifer A and Kaplan, Robert C and Lohman, Kurt and McEvoy, Mark and Province, Michael A and Rosendaal, Frits R and Taylor, Kent D and Nickle, David C and Williams, L Keoki and Burchard, Esteban G and Wheeler, Heather E and Sin, Don D and Gudnason, Vilmundur and North, Kari E and Fornage, Myriam and Psaty, Bruce M and Myers, Richard H and O{\textquoteright}Connor, George and Hansen, Torben and Laurie, Cathy C and Cassano, Patricia A and Sung, Joohon and Kim, Woo Jin and Attia, John R and Lange, Leslie and Boezen, H Marike and Thyagarajan, Bharat and Rich, Stephen S and Mook-Kanamori, Dennis O and Horta, Bernardo Lessa and Uitterlinden, Andr{\'e} G and Im, Hae Kyung and Cho, Michael H and Brusselle, Guy G and Gharib, Sina A and Dupuis, Jos{\'e}e and Manichaikul, Ani and London, Stephanie J} } @article {8199, title = {Sequencing Analysis at 8p23 Identifies Multiple Rare Variants in DLC1 Associated with Sleep-Related Oxyhemoglobin Saturation Level.}, journal = {Am J Hum Genet}, volume = {105}, year = {2019}, month = {2019 Nov 07}, pages = {1057-1068}, abstract = {

Average arterial oxyhemoglobin saturation during sleep (AvSpOS) is a clinically relevant measure of physiological stress associated with sleep-disordered breathing, and this measure predicts incident cardiovascular disease and mortality. Using high-depth whole-genome sequencing data from the National Heart, Lung, and Blood Institute (NHLBI) Trans-Omics for Precision Medicine (TOPMed) project and focusing on genes with linkage evidence on chromosome 8p23, we observed that six coding and 51 noncoding variants in a gene that encodes the GTPase-activating protein (DLC1) are significantly associated with AvSpOS and replicated in independent subjects. The combined DLC1 association evidence of discovery and replication cohorts reaches genome-wide significance in European Americans (p = 7.9~{\texttimes} 10). A risk score for these variants, built on an independent dataset, explains 0.97\% of the AvSpOS variation and contributes to the linkage evidence. The 51 noncoding variants are enriched in regulatory features in a human lung fibroblast cell line and contribute to DLC1 expression variation. Mendelian randomization analysis using these variants indicates a significant causal effect of DLC1 expression in fibroblasts on AvSpOS. Multiple sources of information, including genetic variants, gene expression, and methylation, consistently suggest that DLC1 is a gene associated with AvSpOS.

}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2019.10.002}, author = {Liang, Jingjing and Cade, Brian E and He, Karen Y and Wang, Heming and Lee, Jiwon and Sofer, Tamar and Williams, Stephanie and Li, Ruitong and Chen, Han and Gottlieb, Daniel J and Evans, Daniel S and Guo, Xiuqing and Gharib, Sina A and Hale, Lauren and Hillman, David R and Lutsey, Pamela L and Mukherjee, Sutapa and Ochs-Balcom, Heather M and Palmer, Lyle J and Rhodes, Jessica and Purcell, Shaun and Patel, Sanjay R and Saxena, Richa and Stone, Katie L and Tang, Weihong and Tranah, Gregory J and Boerwinkle, Eric and Lin, Xihong and Liu, Yongmei and Psaty, Bruce M and Vasan, Ramachandran S and Cho, Michael H and Manichaikul, Ani and Silverman, Edwin K and Barr, R Graham and Rich, Stephen S and Rotter, Jerome I and Wilson, James G and Redline, Susan and Zhu, Xiaofeng} } @article {8400, title = {Chronic obstructive pulmonary disease and related phenotypes: polygenic risk scores in population-based and case-control cohorts.}, journal = {Lancet Respir Med}, volume = {8}, year = {2020}, month = {2020 07}, pages = {696-708}, abstract = {

BACKGROUND: Genetic factors influence chronic obstructive pulmonary disease (COPD) risk, but the individual variants that have been identified have small effects. We hypothesised that a polygenic risk score using additional variants would predict COPD and associated phenotypes.

METHODS: We constructed a polygenic risk score using a genome-wide association study of lung function (FEV and FEV/forced vital capacity [FVC]) from the UK Biobank and SpiroMeta. We tested this polygenic risk score in nine cohorts of multiple ethnicities for an association with moderate-to-severe COPD (defined as FEV/FVC <0{\textperiodcentered}7 and FEV <80\% of predicted). Associations were tested using logistic regression models, adjusting for age, sex, height, smoking pack-years, and principal components of genetic ancestry. We assessed predictive performance of models by area under the curve. In a subset of studies, we also studied quantitative and qualitative CT imaging phenotypes that reflect parenchymal and airway pathology, and patterns of reduced lung growth.

FINDINGS: The polygenic risk score was associated with COPD in European (odds ratio [OR] per SD 1{\textperiodcentered}81 [95\% CI 1{\textperiodcentered}74-1{\textperiodcentered}88] and non-European (1{\textperiodcentered}42 [1{\textperiodcentered}34-1{\textperiodcentered}51]) populations. Compared with the first decile, the tenth decile of the polygenic risk score was associated with COPD, with an OR of 7{\textperiodcentered}99 (6{\textperiodcentered}56-9{\textperiodcentered}72) in European ancestry and 4{\textperiodcentered}83 (3{\textperiodcentered}45-6{\textperiodcentered}77) in non-European ancestry cohorts. The polygenic risk score was superior to previously described genetic risk scores and, when combined with clinical risk factors (ie, age, sex, and smoking pack-years), showed improved prediction for COPD compared with a model comprising clinical risk factors alone (AUC 0{\textperiodcentered}80 [0{\textperiodcentered}79-0{\textperiodcentered}81] vs 0{\textperiodcentered}76 [0{\textperiodcentered}75-0{\textperiodcentered}76]). The polygenic risk score was associated with CT imaging phenotypes, including wall area percent, quantitative and qualitative measures of emphysema, local histogram emphysema patterns, and destructive emphysema subtypes. The polygenic risk score was associated with a reduced lung growth pattern.

INTERPRETATION: A risk score comprised of genetic variants can identify a small subset of individuals at markedly increased risk for moderate-to-severe COPD, emphysema subtypes associated with cigarette smoking, and patterns of reduced lung growth.

FUNDING: US National Institutes of Health, Wellcome Trust.

}, keywords = {Adult, Case-Control Studies, Cohort Studies, Female, Forced Expiratory Volume, Genome-Wide Association Study, Humans, Male, Middle Aged, Phenotype, Pulmonary Disease, Chronic Obstructive, Risk Factors, Vital Capacity}, issn = {2213-2619}, doi = {10.1016/S2213-2600(20)30101-6}, author = {Moll, Matthew and Sakornsakolpat, Phuwanat and Shrine, Nick and Hobbs, Brian D and DeMeo, Dawn L and John, Catherine and Guyatt, Anna L and McGeachie, Michael J and Gharib, Sina A and Obeidat, Ma{\textquoteright}en and Lahousse, Lies and Wijnant, Sara R A and Brusselle, Guy and Meyers, Deborah A and Bleecker, Eugene R and Li, Xingnan and Tal-Singer, Ruth and Manichaikul, Ani and Rich, Stephen S and Won, Sungho and Kim, Woo Jin and Do, Ah Ra and Washko, George R and Barr, R Graham and Psaty, Bruce M and Bartz, Traci M and Hansel, Nadia N and Barnes, Kathleen and Hokanson, John E and Crapo, James D and Lynch, David and Bakke, Per and Gulsvik, Amund and Hall, Ian P and Wain, Louise and Weiss, Scott T and Silverman, Edwin K and Dudbridge, Frank and Tobin, Martin D and Cho, Michael H} } @article {8621, title = {Inherited causes of clonal haematopoiesis in 97,691 whole genomes.}, journal = {Nature}, volume = {586}, year = {2020}, month = {2020 10}, pages = {763-768}, abstract = {

Age is the dominant risk factor for most chronic human diseases, but the mechanisms through which ageing confers this risk are largely unknown. The age-related acquisition of somatic mutations that lead to clonal expansion in regenerating haematopoietic stem cell populations has recently been associated with both haematological cancer and coronary heart disease-this phenomenon is~termed clonal haematopoiesis of indeterminate potential (CHIP). Simultaneous analyses of germline and somatic whole-genome sequences provide the opportunity to identify root causes of CHIP. Here we analyse high-coverage whole-genome sequences from 97,691 participants of diverse ancestries in the National Heart, Lung, and Blood Institute Trans-omics for Precision Medicine (TOPMed) programme, and identify 4,229 individuals with CHIP. We identify associations with blood cell, lipid and inflammatory traits that are specific to different CHIP~driver genes. Association of a genome-wide set of germline genetic variants enabled the identification of three genetic loci associated with CHIP status, including one locus at TET2 that was specific to individuals of African ancestry. In silico-informed in vitro evaluation of the TET2 germline locus enabled the identification of a causal variant that disrupts a TET2 distal enhancer, resulting in increased self-renewal of haematopoietic stem cells. Overall, we observe that germline genetic variation shapes haematopoietic stem cell function, leading to CHIP through mechanisms that are specific to clonal haematopoiesis as well as shared mechanisms that lead to somatic mutations across tissues.

}, issn = {1476-4687}, doi = {10.1038/s41586-020-2819-2}, author = {Bick, Alexander G and Weinstock, Joshua S and Nandakumar, Satish K and Fulco, Charles P and Bao, Erik L and Zekavat, Seyedeh M and Szeto, Mindy D and Liao, Xiaotian and Leventhal, Matthew J and Nasser, Joseph and Chang, Kyle and Laurie, Cecelia and Burugula, Bala Bharathi and Gibson, Christopher J and Lin, Amy E and Taub, Margaret A and Aguet, Francois and Ardlie, Kristin and Mitchell, Braxton D and Barnes, Kathleen C and Moscati, Arden and Fornage, Myriam and Redline, Susan and Psaty, Bruce M and Silverman, Edwin K and Weiss, Scott T and Palmer, Nicholette D and Vasan, Ramachandran S and Burchard, Esteban G and Kardia, Sharon L R and He, Jiang and Kaplan, Robert C and Smith, Nicholas L and Arnett, Donna K and Schwartz, David A and Correa, Adolfo and de Andrade, Mariza and Guo, Xiuqing and Konkle, Barbara A and Custer, Brian and Peralta, Juan M and Gui, Hongsheng and Meyers, Deborah A and McGarvey, Stephen T and Chen, Ida Yii-Der and Shoemaker, M Benjamin and Peyser, Patricia A and Broome, Jai G and Gogarten, Stephanie M and Wang, Fei Fei and Wong, Quenna and Montasser, May E and Daya, Michelle and Kenny, Eimear E and North, Kari E and Launer, Lenore J and Cade, Brian E and Bis, Joshua C and Cho, Michael H and Lasky-Su, Jessica and Bowden, Donald W and Cupples, L Adrienne and Mak, Angel C Y and Becker, Lewis C and Smith, Jennifer A and Kelly, Tanika N and Aslibekyan, Stella and Heckbert, Susan R and Tiwari, Hemant K and Yang, Ivana V and Heit, John A and Lubitz, Steven A and Johnsen, Jill M and Curran, Joanne E and Wenzel, Sally E and Weeks, Daniel E and Rao, Dabeeru C and Darbar, Dawood and Moon, Jee-Young and Tracy, Russell P and Buth, Erin J and Rafaels, Nicholas and Loos, Ruth J F and Durda, Peter and Liu, Yongmei and Hou, Lifang and Lee, Jiwon and Kachroo, Priyadarshini and Freedman, Barry I and Levy, Daniel and Bielak, Lawrence F and Hixson, James E and Floyd, James S and Whitsel, Eric A and Ellinor, Patrick T and Irvin, Marguerite R and Fingerlin, Tasha E and Raffield, Laura M and Armasu, Sebastian M and Wheeler, Marsha M and Sabino, Ester C and Blangero, John and Williams, L Keoki and Levy, Bruce D and Sheu, Wayne Huey-Herng and Roden, Dan M and Boerwinkle, Eric and Manson, JoAnn E and Mathias, Rasika A and Desai, Pinkal and Taylor, Kent D and Johnson, Andrew D and Auer, Paul L and Kooperberg, Charles and Laurie, Cathy C and Blackwell, Thomas W and Smith, Albert V and Zhao, Hongyu and Lange, Ethan and Lange, Leslie and Rich, Stephen S and Rotter, Jerome I and Wilson, James G and Scheet, Paul and Kitzman, Jacob O and Lander, Eric S and Engreitz, Jesse M and Ebert, Benjamin L and Reiner, Alexander P and Jaiswal, Siddhartha and Abecasis, Goncalo and Sankaran, Vijay G and Kathiresan, Sekar and Natarajan, Pradeep} } @article {8639, title = {Whole genome sequence analysis of pulmonary function and COPD in 19,996 multi-ethnic participants.}, journal = {Nat Commun}, volume = {11}, year = {2020}, month = {2020 10 14}, pages = {5182}, abstract = {

Chronic obstructive pulmonary disease (COPD), diagnosed by reduced lung function, is a leading cause of morbidity and mortality. We performed whole genome sequence (WGS) analysis of lung function and COPD in a multi-ethnic sample of 11,497 participants from population- and family-based studies, and 8499 individuals from COPD-enriched studies in the NHLBI Trans-Omics for Precision Medicine (TOPMed) Program. We identify at genome-wide significance 10 known GWAS loci and 22 distinct, previously unreported loci, including two common variant signals from stratified analysis of African Americans. Four novel common variants within the regions of PIAS1, RGN (two variants) and FTO show evidence of replication in the UK Biobank (European ancestry n ~ 320,000), while colocalization analyses leveraging multi-omic data from GTEx and TOPMed identify potential molecular mechanisms underlying four of the 22 novel loci. Our study demonstrates the value of performing WGS analyses and multi-omic follow-up in cohorts of diverse ancestry.

}, keywords = {Adult, African Americans, Aged, Aged, 80 and over, Alpha-Ketoglutarate-Dependent Dioxygenase FTO, Calcium-Binding Proteins, Feasibility Studies, Female, Follow-Up Studies, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Intracellular Signaling Peptides and Proteins, Lung, Male, Middle Aged, Polymorphism, Single Nucleotide, Protein Inhibitors of Activated STAT, Pulmonary Disease, Chronic Obstructive, Respiratory Physiological Phenomena, Small Ubiquitin-Related Modifier Proteins, Whole Genome Sequencing}, issn = {2041-1723}, doi = {10.1038/s41467-020-18334-7}, author = {Zhao, Xutong and Qiao, Dandi and Yang, Chaojie and Kasela, Silva and Kim, Wonji and Ma, Yanlin and Shrine, Nick and Batini, Chiara and Sofer, Tamar and Taliun, Sarah A Gagliano and Sakornsakolpat, Phuwanat and Balte, Pallavi P and Prokopenko, Dmitry and Yu, Bing and Lange, Leslie A and Dupuis, Jos{\'e}e and Cade, Brian E and Lee, Jiwon and Gharib, Sina A and Daya, Michelle and Laurie, Cecelia A and Ruczinski, Ingo and Cupples, L Adrienne and Loehr, Laura R and Bartz, Traci M and Morrison, Alanna C and Psaty, Bruce M and Vasan, Ramachandran S and Wilson, James G and Taylor, Kent D and Durda, Peter and Johnson, W Craig and Cornell, Elaine and Guo, Xiuqing and Liu, Yongmei and Tracy, Russell P and Ardlie, Kristin G and Aguet, Francois and VanDenBerg, David J and Papanicolaou, George J and Rotter, Jerome I and Barnes, Kathleen C and Jain, Deepti and Nickerson, Deborah A and Muzny, Donna M and Metcalf, Ginger A and Doddapaneni, Harshavardhan and Dugan-Perez, Shannon and Gupta, Namrata and Gabriel, Stacey and Rich, Stephen S and O{\textquoteright}Connor, George T and Redline, Susan and Reed, Robert M and Laurie, Cathy C and Daviglus, Martha L and Preudhomme, Liana K and Burkart, Kristin M and Kaplan, Robert C and Wain, Louise V and Tobin, Martin D and London, Stephanie J and Lappalainen, Tuuli and Oelsner, Elizabeth C and Abecasis, Goncalo R and Silverman, Edwin K and Barr, R Graham and Cho, Michael H and Manichaikul, Ani} } @article {8778, title = {Identification of putative causal loci in whole-genome sequencing data via knockoff statistics.}, journal = {Nat Commun}, volume = {12}, year = {2021}, month = {2021 05 25}, pages = {3152}, abstract = {

The analysis of whole-genome sequencing studies is challenging due to the large number of rare variants in noncoding regions and the lack of natural units for testing. We propose a statistical method to detect and localize rare and common risk variants in whole-genome sequencing studies based on a recently developed knockoff framework. It can (1) prioritize causal variants over associations due to linkage disequilibrium thereby improving interpretability; (2) help distinguish the signal due to rare variants from shadow effects of significant common variants nearby; (3) integrate multiple knockoffs for improved power, stability, and reproducibility; and (4) flexibly incorporate state-of-the-art and future association tests to achieve the benefits proposed here. In applications to whole-genome sequencing data from the Alzheimer{\textquoteright}s Disease Sequencing Project (ADSP) and COPDGene samples from NHLBI Trans-Omics for Precision Medicine (TOPMed) Program we show that our method compared with conventional association tests can lead to substantially more discoveries.

}, keywords = {Algorithms, Causality, Computer Simulation, Data Interpretation, Statistical, Datasets as Topic, Genetic Loci, Genetic Predisposition to Disease, Genome, Human, Genome-Wide Association Study, Humans, Linkage Disequilibrium, Markov Chains, Models, Genetic, Polymorphism, Single Nucleotide, Reproducibility of Results, Whole Genome Sequencing}, issn = {2041-1723}, doi = {10.1038/s41467-021-22889-4}, author = {He, Zihuai and Liu, Linxi and Wang, Chen and Le Guen, Yann and Lee, Justin and Gogarten, Stephanie and Lu, Fred and Montgomery, Stephen and Tang, Hua and Silverman, Edwin K and Cho, Michael H and Greicius, Michael and Ionita-Laza, Iuliana} } @article {8908, title = {is mutated in clonal hematopoiesis and myelodysplastic syndromes and impacts RNA splicing.}, journal = {Blood Cancer Discov}, volume = {2}, year = {2021}, month = {2021 Sep}, pages = {500-517}, abstract = {

Clonal hematopoiesis results from somatic mutations in cancer driver genes in hematopoietic stem cells. We sought to identify novel drivers of clonal expansion using an unbiased analysis of sequencing data from 84,683 persons and identified common mutations in the 5-methylcytosine reader, , as well as in , , and . We also identified these mutations at low frequency in myelodysplastic syndrome patients. edited mouse hematopoietic stem and progenitor cells exhibited a competitive advantage and increased genome-wide intron retention. mutations potentially link DNA methylation and RNA splicing, the two most commonly mutated pathways in clonal hematopoiesis and MDS.

}, issn = {2643-3249}, doi = {10.1158/2643-3230.BCD-20-0224}, author = {Beauchamp, Ellen M and Leventhal, Matthew and Bernard, Elsa and Hoppe, Emma R and Todisco, Gabriele and Creignou, Maria and Gall{\`\i}, Anna and Castellano, Cecilia A and McConkey, Marie and Tarun, Akansha and Wong, Waihay and Schenone, Monica and Stanclift, Caroline and Tanenbaum, Benjamin and Malolepsza, Edyta and Nilsson, Bj{\"o}rn and Bick, Alexander G and Weinstock, Joshua S and Miller, Mendy and Niroula, Abhishek and Dunford, Andrew and Taylor-Weiner, Amaro and Wood, Timothy and Barbera, Alex and Anand, Shankara and Psaty, Bruce M and Desai, Pinkal and Cho, Michael H and Johnson, Andrew D and Loos, Ruth and MacArthur, Daniel G and Lek, Monkol and Neuberg, Donna S and Lage, Kasper and Carr, Steven A and Hellstrom-Lindberg, Eva and Malcovati, Luca and Papaemmanuil, Elli and Stewart, Chip and Getz, Gad and Bradley, Robert K and Jaiswal, Siddhartha and Ebert, Benjamin L} } @article {8666, title = {Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program.}, journal = {Nature}, volume = {590}, year = {2021}, month = {2021 02}, pages = {290-299}, abstract = {

The Trans-Omics for Precision Medicine (TOPMed) programme seeks to elucidate the genetic architecture and biology of heart, lung, blood and sleep disorders, with the ultimate goal of improving diagnosis, treatment and prevention of these diseases. The initial phases of the programme focused on whole-genome sequencing of individuals with rich phenotypic data and diverse backgrounds. Here we describe the TOPMed goals and design as well as the available resources and early insights obtained from the sequence data. The resources include a variant browser, a genotype imputation server, and genomic and phenotypic data that are available through dbGaP (Database of Genotypes and Phenotypes). In the first 53,831 TOPMed samples, we detected more than 400~million single-nucleotide and insertion or deletion variants after alignment with the reference genome. Additional previously undescribed variants were detected through assembly of unmapped reads and customized analysis in highly variable loci. Among the more than 400~million detected variants, 97\% have frequencies of less than 1\% and 46\% are singletons that are present in only one individual (53\% among unrelated individuals). These rare variants provide insights into mutational processes and recent human evolutionary history. The extensive catalogue of genetic variation in TOPMed studies provides unique opportunities for exploring the contributions of rare and noncoding sequence variants to phenotypic variation. Furthermore, combining TOPMed haplotypes with modern imputation methods improves the power and reach of genome-wide association studies to include variants down to a frequency of approximately 0.01\%.

}, issn = {1476-4687}, doi = {10.1038/s41586-021-03205-y}, author = {Taliun, Daniel and Harris, Daniel N and Kessler, Michael D and Carlson, Jedidiah and Szpiech, Zachary A and Torres, Raul and Taliun, Sarah A Gagliano and Corvelo, Andr{\'e} and Gogarten, Stephanie M and Kang, Hyun Min and Pitsillides, Achilleas N and LeFaive, Jonathon and Lee, Seung-Been and Tian, Xiaowen and Browning, Brian L and Das, Sayantan and Emde, Anne-Katrin and Clarke, Wayne E and Loesch, Douglas P and Shetty, Amol C and Blackwell, Thomas W and Smith, Albert V and Wong, Quenna and Liu, Xiaoming and Conomos, Matthew P and Bobo, Dean M and Aguet, Francois and Albert, Christine and Alonso, Alvaro and Ardlie, Kristin G and Arking, Dan E and Aslibekyan, Stella and Auer, Paul L and Barnard, John and Barr, R Graham and Barwick, Lucas and Becker, Lewis C and Beer, Rebecca L and Benjamin, Emelia J and Bielak, Lawrence F and Blangero, John and Boehnke, Michael and Bowden, Donald W and Brody, Jennifer A and Burchard, Esteban G and Cade, Brian E and Casella, James F and Chalazan, Brandon and Chasman, Daniel I and Chen, Yii-Der Ida and Cho, Michael H and Choi, Seung Hoan and Chung, Mina K and Clish, Clary B and Correa, Adolfo and Curran, Joanne E and Custer, Brian and Darbar, Dawood and Daya, Michelle and de Andrade, Mariza and DeMeo, Dawn L and Dutcher, Susan K and Ellinor, Patrick T and Emery, Leslie S and Eng, Celeste and Fatkin, Diane and Fingerlin, Tasha and Forer, Lukas and Fornage, Myriam and Franceschini, Nora and Fuchsberger, Christian and Fullerton, Stephanie M and Germer, Soren and Gladwin, Mark T and Gottlieb, Daniel J and Guo, Xiuqing and Hall, Michael E and He, Jiang and Heard-Costa, Nancy L and Heckbert, Susan R and Irvin, Marguerite R and Johnsen, Jill M and Johnson, Andrew D and Kaplan, Robert and Kardia, Sharon L R and Kelly, Tanika and Kelly, Shannon and Kenny, Eimear E and Kiel, Douglas P and Klemmer, Robert and Konkle, Barbara A and Kooperberg, Charles and K{\"o}ttgen, Anna and Lange, Leslie A and Lasky-Su, Jessica and Levy, Daniel and Lin, Xihong and Lin, Keng-Han and Liu, Chunyu and Loos, Ruth J F and Garman, Lori and Gerszten, Robert and Lubitz, Steven A and Lunetta, Kathryn L and Mak, Angel C Y and Manichaikul, Ani and Manning, Alisa K and Mathias, Rasika A and McManus, David D and McGarvey, Stephen T and Meigs, James B and Meyers, Deborah A and Mikulla, Julie L and Minear, Mollie A and Mitchell, Braxton D and Mohanty, Sanghamitra and Montasser, May E and Montgomery, Courtney and Morrison, Alanna C and Murabito, Joanne M and Natale, Andrea and Natarajan, Pradeep and Nelson, Sarah C and North, Kari E and O{\textquoteright}Connell, Jeffrey R and Palmer, Nicholette D and Pankratz, Nathan and Peloso, Gina M and Peyser, Patricia A and Pleiness, Jacob and Post, Wendy S and Psaty, Bruce M and Rao, D C and Redline, Susan and Reiner, Alexander P and Roden, Dan and Rotter, Jerome I and Ruczinski, Ingo and Sarnowski, Chloe and Schoenherr, Sebastian and Schwartz, David A and Seo, Jeong-Sun and Seshadri, Sudha and Sheehan, Vivien A and Sheu, Wayne H and Shoemaker, M Benjamin and Smith, Nicholas L and Smith, Jennifer A and Sotoodehnia, Nona and Stilp, Adrienne M and Tang, Weihong and Taylor, Kent D and Telen, Marilyn and Thornton, Timothy A and Tracy, Russell P and Van Den Berg, David J and Vasan, Ramachandran S and Viaud-Martinez, Karine A and Vrieze, Scott and Weeks, Daniel E and Weir, Bruce S and Weiss, Scott T and Weng, Lu-Chen and Willer, Cristen J and Zhang, Yingze and Zhao, Xutong and Arnett, Donna K and Ashley-Koch, Allison E and Barnes, Kathleen C and Boerwinkle, Eric and Gabriel, Stacey and Gibbs, Richard and Rice, Kenneth M and Rich, Stephen S and Silverman, Edwin K and Qasba, Pankaj and Gan, Weiniu and Papanicolaou, George J and Nickerson, Deborah A and Browning, Sharon R and Zody, Michael C and Z{\"o}llner, Sebastian and Wilson, James G and Cupples, L Adrienne and Laurie, Cathy C and Jaquish, Cashell E and Hernandez, Ryan D and O{\textquoteright}Connor, Timothy D and Abecasis, Goncalo R} } @article {8914, title = {Whole-genome sequencing in diverse subjects identifies genetic correlates of leukocyte traits: The NHLBI TOPMed program.}, journal = {Am J Hum Genet}, volume = {108}, year = {2021}, month = {2021 10 07}, pages = {1836-1851}, abstract = {

Many common and rare variants associated with hematologic traits have been discovered through imputation on large-scale reference panels. However, the majority of genome-wide association studies (GWASs) have been conducted in Europeans, and determining causal variants has proved challenging. We performed a GWAS of total leukocyte, neutrophil, lymphocyte, monocyte, eosinophil, and basophil counts generated from 109,563,748 variants in the autosomes and the X chromosome in the Trans-Omics for Precision Medicine (TOPMed) program, which included data from 61,802 individuals of diverse ancestry. We discovered and replicated 7 leukocyte trait associations, including (1) the association between a chromosome X, pseudo-autosomal region (PAR), noncoding variant located between cytokine receptor genes (CSF2RA and CLRF2) and lower eosinophil count; and (2) associations between single variants found predominantly among African Americans at the S1PR3 (9q22.1) and HBB (11p15.4) loci and monocyte and lymphocyte counts, respectively. We further provide evidence indicating that the newly discovered eosinophil-lowering chromosome X PAR variant might be associated with reduced susceptibility to common allergic diseases such as atopic dermatitis and asthma. Additionally, we found a burden of very rare FLT3 (13q12.2) variants associated with monocyte counts. Together, these results emphasize the utility of whole-genome sequencing in diverse samples in identifying associations missed by European-ancestry-driven GWASs.

}, keywords = {Asthma, Biomarkers, Dermatitis, Atopic, Genetic Predisposition to Disease, Genome, Human, Genome-Wide Association Study, Humans, Leukocytes, National Heart, Lung, and Blood Institute (U.S.), Phenotype, Polymorphism, Single Nucleotide, Prognosis, Proteome, Pulmonary Disease, Chronic Obstructive, Quantitative Trait Loci, United Kingdom, United States, Whole Genome Sequencing}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2021.08.007}, author = {Mikhaylova, Anna V and McHugh, Caitlin P and Polfus, Linda M and Raffield, Laura M and Boorgula, Meher Preethi and Blackwell, Thomas W and Brody, Jennifer A and Broome, Jai and Chami, Nathalie and Chen, Ming-Huei and Conomos, Matthew P and Cox, Corey and Curran, Joanne E and Daya, Michelle and Ekunwe, Lynette and Glahn, David C and Heard-Costa, Nancy and Highland, Heather M and Hobbs, Brian D and Ilboudo, Yann and Jain, Deepti and Lange, Leslie A and Miller-Fleming, Tyne W and Min, Nancy and Moon, Jee-Young and Preuss, Michael H and Rosen, Jonathon and Ryan, Kathleen and Smith, Albert V and Sun, Quan and Surendran, Praveen and de Vries, Paul S and Walter, Klaudia and Wang, Zhe and Wheeler, Marsha and Yanek, Lisa R and Zhong, Xue and Abecasis, Goncalo R and Almasy, Laura and Barnes, Kathleen C and Beaty, Terri H and Becker, Lewis C and Blangero, John and Boerwinkle, Eric and Butterworth, Adam S and Chavan, Sameer and Cho, Michael H and Choquet, Helene and Correa, Adolfo and Cox, Nancy and DeMeo, Dawn L and Faraday, Nauder and Fornage, Myriam and Gerszten, Robert E and Hou, Lifang and Johnson, Andrew D and Jorgenson, Eric and Kaplan, Robert and Kooperberg, Charles and Kundu, Kousik and Laurie, Cecelia A and Lettre, Guillaume and Lewis, Joshua P and Li, Bingshan and Li, Yun and Lloyd-Jones, Donald M and Loos, Ruth J F and Manichaikul, Ani and Meyers, Deborah A and Mitchell, Braxton D and Morrison, Alanna C and Ngo, Debby and Nickerson, Deborah A and Nongmaithem, Suraj and North, Kari E and O{\textquoteright}Connell, Jeffrey R and Ortega, Victor E and Pankratz, Nathan and Perry, James A and Psaty, Bruce M and Rich, Stephen S and Soranzo, Nicole and Rotter, Jerome I and Silverman, Edwin K and Smith, Nicholas L and Tang, Hua and Tracy, Russell P and Thornton, Timothy A and Vasan, Ramachandran S and Zein, Joe and Mathias, Rasika A and Reiner, Alexander P and Auer, Paul L} } @article {9037, title = {Polygenic transcriptome risk scores for COPD and lung function improve cross-ethnic portability of prediction in the NHLBI TOPMed program.}, journal = {Am J Hum Genet}, year = {2022}, month = {2022 Mar 31}, abstract = {

While polygenic risk scores (PRSs) enable early identification of genetic risk for chronic obstructive pulmonary disease (COPD), predictive performance is limited when the discovery and target populations are not well matched. Hypothesizing that the biological mechanisms of disease are shared across ancestry groups, we introduce a PrediXcan-derived polygenic transcriptome risk score (PTRS) to improve cross-ethnic portability of risk prediction. We constructed the PTRS using summary statistics from application of PrediXcan on large-scale GWASs of lung function (forced expiratory volume in 1~s [FEV] and its ratio to forced vital capacity [FEV/FVC]) in the UK Biobank. We examined prediction performance and cross-ethnic portability of PTRS through smoking-stratified analyses both on 29,381 multi-ethnic participants from TOPMed population/family-based cohorts and on 11,771 multi-ethnic participants from TOPMed COPD-enriched studies. Analyses were carried out for two dichotomous COPD traits (moderate-to-severe and severe COPD) and two quantitative lung function traits (FEV and FEV/FVC). While the proposed PTRS showed weaker associations with disease than PRS for European ancestry, the PTRS showed stronger association with COPD than PRS for African Americans (e.g., odds ratio [OR]~= 1.24 [95\% confidence interval [CI]: 1.08-1.43] for PTRS versus 1.10 [0.96-1.26] for PRS among heavy smokers with >= 40 pack-years of smoking) for moderate-to-severe COPD. Cross-ethnic portability of the PTRS was significantly higher than the PRS (paired t test p~<~2.2~{\texttimes}~10 with portability gains ranging from 5\% to 28\%) for both dichotomous COPD traits and across all smoking strata. Our study demonstrates the value of PTRS for improved cross-ethnic portability compared to PRS in predicting COPD risk.

}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2022.03.007}, author = {Hu, Xiaowei and Qiao, Dandi and Kim, Wonji and Moll, Matthew and Balte, Pallavi P and Lange, Leslie A and Bartz, Traci M and Kumar, Rajesh and Li, Xingnan and Yu, Bing and Cade, Brian E and Laurie, Cecelia A and Sofer, Tamar and Ruczinski, Ingo and Nickerson, Deborah A and Muzny, Donna M and Metcalf, Ginger A and Doddapaneni, Harshavardhan and Gabriel, Stacy and Gupta, Namrata and Dugan-Perez, Shannon and Cupples, L Adrienne and Loehr, Laura R and Jain, Deepti and Rotter, Jerome I and Wilson, James G and Psaty, Bruce M and Fornage, Myriam and Morrison, Alanna C and Vasan, Ramachandran S and Washko, George and Rich, Stephen S and O{\textquoteright}Connor, George T and Bleecker, Eugene and Kaplan, Robert C and Kalhan, Ravi and Redline, Susan and Gharib, Sina A and Meyers, Deborah and Ortega, Victor and Dupuis, Jos{\'e}e and London, Stephanie J and Lappalainen, Tuuli and Oelsner, Elizabeth C and Silverman, Edwin K and Barr, R Graham and Thornton, Timothy A and Wheeler, Heather E and Cho, Michael H and Im, Hae Kyung and Manichaikul, Ani} } @article {9261, title = {Whole genome sequencing identifies structural variants contributing to hematologic traits in the NHLBI TOPMed program.}, journal = {Nat Commun}, volume = {13}, year = {2022}, month = {2022 Dec 08}, pages = {7592}, abstract = {

Genome-wide association studies have identified thousands of single nucleotide variants and small indels that contribute to variation in hematologic traits. While structural variants are known to cause rare blood or hematopoietic disorders, the genome-wide contribution of structural variants to quantitative blood cell trait variation is unknown. Here we utilized whole genome sequencing data in ancestrally diverse participants of the NHLBI Trans Omics for Precision Medicine program (N = 50,675) to detect structural variants associated with hematologic traits. Using single variant tests, we assessed the association of common and rare structural variants with red cell-, white cell-, and platelet-related quantitative traits and observed 21 independent signals (12 common and 9 rare) reaching genome-wide significance. The majority of these associations (N = 18) replicated in independent datasets. In genome-editing experiments, we provide evidence that a deletion associated with lower monocyte counts leads to disruption of an S1PR3 monocyte enhancer and decreased S1PR3 expression.

}, keywords = {Blood Cells, Genome-Wide Association Study, Humans, Whole Genome Sequencing}, issn = {2041-1723}, doi = {10.1038/s41467-022-35354-7}, author = {Wheeler, Marsha M and Stilp, Adrienne M and Rao, Shuquan and Halldorsson, Bjarni V and Beyter, Doruk and Wen, Jia and Mihkaylova, Anna V and McHugh, Caitlin P and Lane, John and Jiang, Min-Zhi and Raffield, Laura M and Jun, Goo and Sedlazeck, Fritz J and Metcalf, Ginger and Yao, Yao and Bis, Joshua B and Chami, Nathalie and de Vries, Paul S and Desai, Pinkal and Floyd, James S and Gao, Yan and Kammers, Kai and Kim, Wonji and Moon, Jee-Young and Ratan, Aakrosh and Yanek, Lisa R and Almasy, Laura and Becker, Lewis C and Blangero, John and Cho, Michael H and Curran, Joanne E and Fornage, Myriam and Kaplan, Robert C and Lewis, Joshua P and Loos, Ruth J F and Mitchell, Braxton D and Morrison, Alanna C and Preuss, Michael and Psaty, Bruce M and Rich, Stephen S and Rotter, Jerome I and Tang, Hua and Tracy, Russell P and Boerwinkle, Eric and Abecasis, Goncalo R and Blackwell, Thomas W and Smith, Albert V and Johnson, Andrew D and Mathias, Rasika A and Nickerson, Deborah A and Conomos, Matthew P and Li, Yun and {\TH}orsteinsdottir, Unnur and Magn{\'u}sson, Magn{\'u}s K and Stefansson, Kari and Pankratz, Nathan D and Bauer, Daniel E and Auer, Paul L and Reiner, Alex P} } @article {9387, title = {Aberrant activation of TCL1A promotes stem cell expansion in clonal haematopoiesis.}, journal = {Nature}, volume = {616}, year = {2023}, month = {2023 Apr}, pages = {755-763}, abstract = {

Mutations in a diverse set of driver genes increase the fitness of haematopoietic stem cells (HSCs), leading to clonal haematopoiesis. These lesions are precursors for blood cancers, but the basis of their fitness advantage remains largely unknown, partly owing to a paucity of large cohorts in which the clonal expansion rate has been assessed by longitudinal sampling. Here, to circumvent this limitation, we developed a method to infer the expansion rate from data from a single time point. We applied this method to 5,071 people with clonal haematopoiesis. A genome-wide association study revealed that a common inherited polymorphism in the TCL1A promoter was associated with a slower expansion rate in clonal haematopoiesis overall, but the effect varied by driver gene. Those carrying this protective allele exhibited markedly reduced growth rates or prevalence of clones with driver mutations in TET2, ASXL1, SF3B1 and SRSF2, but~this effect was not seen in~clones with~driver mutations in DNMT3A. TCL1A was not expressed in normal or DNMT3A-mutated HSCs, but the introduction of mutations in TET2 or ASXL1 led to the expression of TCL1A protein and the expansion of HSCs in vitro. The protective allele restricted TCL1A expression and expansion of mutant HSCs, as did experimental~knockdown of TCL1A expression. Forced expression of TCL1A promoted the expansion of human HSCs in vitro and mouse HSCs in vivo. Our results indicate that the fitness advantage of several commonly mutated driver genes in clonal haematopoiesis may be mediated by TCL1A activation.

}, keywords = {Alleles, Animals, Clonal Hematopoiesis, Genome-Wide Association Study, Hematopoiesis, Hematopoietic Stem Cells, Humans, Mice, Mutation, Promoter Regions, Genetic}, issn = {1476-4687}, doi = {10.1038/s41586-023-05806-1}, author = {Weinstock, Joshua S and Gopakumar, Jayakrishnan and Burugula, Bala Bharathi and Uddin, Md Mesbah and Jahn, Nikolaus and Belk, Julia A and Bouzid, Hind and Daniel, Bence and Miao, Zhuang and Ly, Nghi and Mack, Taralynn M and Luna, Sofia E and Prothro, Katherine P and Mitchell, Shaneice R and Laurie, Cecelia A and Broome, Jai G and Taylor, Kent D and Guo, Xiuqing and Sinner, Moritz F and von Falkenhausen, Aenne S and K{\"a}{\"a}b, Stefan and Shuldiner, Alan R and O{\textquoteright}Connell, Jeffrey R and Lewis, Joshua P and Boerwinkle, Eric and Barnes, Kathleen C and Chami, Nathalie and Kenny, Eimear E and Loos, Ruth J F and Fornage, Myriam and Hou, Lifang and Lloyd-Jones, Donald M and Redline, Susan and Cade, Brian E and Psaty, Bruce M and Bis, Joshua C and Brody, Jennifer A and Silverman, Edwin K and Yun, Jeong H and Qiao, Dandi and Palmer, Nicholette D and Freedman, Barry I and Bowden, Donald W and Cho, Michael H and DeMeo, Dawn L and Vasan, Ramachandran S and Yanek, Lisa R and Becker, Lewis C and Kardia, Sharon L R and Peyser, Patricia A and He, Jiang and Rienstra, Michiel and van der Harst, Pim and Kaplan, Robert and Heckbert, Susan R and Smith, Nicholas L and Wiggins, Kerri L and Arnett, Donna K and Irvin, Marguerite R and Tiwari, Hemant and Cutler, Michael J and Knight, Stacey and Muhlestein, J Brent and Correa, Adolfo and Raffield, Laura M and Gao, Yan and de Andrade, Mariza and Rotter, Jerome I and Rich, Stephen S and Tracy, Russell P and Konkle, Barbara A and Johnsen, Jill M and Wheeler, Marsha M and Smith, J Gustav and Melander, Olle and Nilsson, Peter M and Custer, Brian S and Duggirala, Ravindranath and Curran, Joanne E and Blangero, John and McGarvey, Stephen and Williams, L Keoki and Xiao, Shujie and Yang, Mao and Gu, C Charles and Chen, Yii-Der Ida and Lee, Wen-Jane and Marcus, Gregory M and Kane, John P and Pullinger, Clive R and Shoemaker, M Benjamin and Darbar, Dawood and Roden, Dan M and Albert, Christine and Kooperberg, Charles and Zhou, Ying and Manson, JoAnn E and Desai, Pinkal and Johnson, Andrew D and Mathias, Rasika A and Blackwell, Thomas W and Abecasis, Goncalo R and Smith, Albert V and Kang, Hyun M and Satpathy, Ansuman T and Natarajan, Pradeep and Kitzman, Jacob O and Whitsel, Eric A and Reiner, Alexander P and Bick, Alexander G and Jaiswal, Siddhartha} } @article {9479, title = {Carriers of rare damaging genetic variants are at lower risk of atherosclerotic disease.}, journal = {medRxiv}, year = {2023}, month = {2023 Aug 16}, abstract = {

BACKGROUND: The CCL2/CCR2 axis governs monocyte trafficking and recruitment to atherosclerotic lesions. Human genetic analyses and population-based studies support an association between circulating CCL2 levels and atherosclerosis. Still, it remains unknown whether pharmacological targeting of CCR2, the main CCL2 receptor, would provide protection against human atherosclerotic disease.

METHODS: In whole-exome sequencing data from 454,775 UK Biobank participants (40-69 years), we identified predicted loss-of-function (LoF) or damaging missense (REVEL score >0.5) variants within the gene. We prioritized variants associated with lower monocyte count (p<0.05) and tested associations with vascular risk factors and risk of atherosclerotic disease over a mean follow-up of 14 years. The results were replicated in a pooled cohort of three independent datasets (TOPMed, deCODE and Penn Medicine BioBank; total n=441,445) and the effect of the most frequent damaging variant was experimentally validated.

RESULTS: A total of 45 predicted LoF or damaging missense variants were identified in the gene, 4 of which were also significantly associated with lower monocyte count, but not with other white blood cell counts. Heterozygous carriers of these variants were at a lower risk of a combined atherosclerosis outcome, showed a lower burden of atherosclerosis across four vascular beds, and were at a lower lifetime risk of coronary artery disease and myocardial infarction. There was no evidence of association with vascular risk factors including LDL-cholesterol, blood pressure, glycemic status, or C-reactive protein. Using a cAMP assay, we found that cells transfected with the most frequent damaging variant (3:46358273:T:A, M249K, 547 carriers, frequency: 0.14\%) show a decrease in signaling in response to CCL2. The associations of the M249K variant with myocardial infarction were consistent across cohorts (OR : 0.62 95\%CI: 0.39-0.96; OR : 0.64 95\%CI: 0.34-1.19; OR : 0.64 95\%CI: 0.45-0.90). In a phenome-wide association study, we found no evidence for higher risk of common infections or mortality among carriers of damaging variants.

CONCLUSIONS: Heterozygous carriers of damaging variants have a lower burden of atherosclerosis and lower lifetime risk of myocardial infarction. In conjunction with previous evidence from experimental and epidemiological studies, our findings highlight the translational potential of CCR2-targeting as an atheroprotective approach.

}, doi = {10.1101/2023.08.14.23294063}, author = {Georgakis, Marios K and Malik, Rainer and Hasbani, Natalie R and Shakt, Gabrielle and Morrison, Alanna C and Tsao, Noah L and Judy, Renae and Mitchell, Braxton D and Xu, Huichun and Montasser, May E and Do, Ron and Kenny, Eimear E and Loos, Ruth J F and Terry, James G and Carr, John Jeffrey and Bis, Joshua C and Psaty, Bruce M and Longstreth, W T and Young, Kendra A and Lutz, Sharon M and Cho, Michael H and Broome, Jai and Khan, Alyna T and Wang, Fei Fei and Heard-Costa, Nancy and Seshadri, Sudha and Vasan, Ramachandran S and Palmer, Nicholette D and Freedman, Barry I and Bowden, Donald W and Yanek, Lisa R and Kral, Brian G and Becker, Lewis C and Peyser, Patricia A and Bielak, Lawrence F and Ammous, Farah and Carson, April P and Hall, Michael E and Raffield, Laura M and Rich, Stephen S and Post, Wendy S and Tracy, Russel P and Taylor, Kent D and Guo, Xiuqing and Mahaney, Michael C and Curran, Joanne E and Blangero, John and Clarke, Shoa L and Haessler, Jeffrey W and Hu, Yao and Assimes, Themistocles L and Kooperberg, Charles and Damrauer, Scott M and Rotter, Jerome I and de Vries, Paul S and Dichgans, Martin} } @article {9588, title = {Determinants of mosaic chromosomal alteration fitness.}, journal = {medRxiv}, year = {2023}, month = {2023 Oct 21}, abstract = {

Clonal hematopoiesis (CH) is characterized by the acquisition of a somatic mutation in a hematopoietic stem cell that results in a clonal expansion. These driver mutations can be single nucleotide variants in cancer driver genes or larger structural rearrangements called mosaic chromosomal alterations (mCAs). The factors that influence the variations in mCA fitness and ultimately result in different clonal expansion rates are not well-understood. We used the Passenger-Approximated Clonal Expansion Rate (PACER) method to estimate clonal expansion rate for 6,381 individuals in the NHLBI TOPMed cohort with gain, loss, and copy-neutral loss of heterozygosity mCAs. Our estimates of mCA fitness were correlated (R = 0.49) with an alternative approach that estimated fitness of mCAs in the UK Biobank using a theoretical probability distribution. Individuals with lymphoid-associated mCAs had a significantly higher white blood cell count and faster clonal expansion rate. In a cross-sectional analysis, genome-wide association study of estimates of mCA expansion rate identified , , and locus variants as modulators of mCA clonal expansion rate.

}, doi = {10.1101/2023.10.20.23297280}, author = {Pershad, Yash and Mack, Taralynn and Poisner, Hannah and Jakubek, Yasminka A and Stilp, Adrienne M and Mitchell, Braxton D and Lewis, Joshua P and Boerwinkle, Eric and Loos, Ruth J and Chami, Nathalie and Wang, Zhe and Barnes, Kathleen and Pankratz, Nathan and Fornage, Myriam and Redline, Susan and Psaty, Bruce M and Bis, Joshua C and Shojaie, Ali and Silverman, Edwin K and Cho, Michael H and Yun, Jeong and DeMeo, Dawn and Levy, Daniel and Johnson, Andrew and Mathias, Rasika and Taub, Margaret and Arnett, Donna and North, Kari and Raffield, Laura M and Carson, April and Doyle, Margaret F and Rich, Stephen S and Rotter, Jerome I and Guo, Xiuqing and Cox, Nancy and Roden, Dan M and Franceschini, Nora and Desai, Pinkal and Reiner, Alex and Auer, Paul L and Scheet, Paul and Jaiswal, Siddhartha and Weinstock, Joshua S and Bick, Alexander G} } @article {9419, title = {The genetic determinants of recurrent somatic mutations in 43,693 blood genomes.}, journal = {Sci Adv}, volume = {9}, year = {2023}, month = {2023 Apr 28}, pages = {eabm4945}, abstract = {

Nononcogenic somatic mutations are thought to be uncommon and inconsequential. To test this, we analyzed 43,693 National Heart, Lung and Blood Institute Trans-Omics for Precision Medicine blood whole genomes from 37 cohorts and identified 7131 non-missense somatic mutations that are recurrently mutated in at least 50 individuals. These recurrent non-missense somatic mutations (RNMSMs) are not clearly explained by other clonal phenomena such as clonal hematopoiesis. RNMSM prevalence increased with age, with an average 50-year-old having 27 RNMSMs. Inherited germline variation associated with RNMSM acquisition. These variants were found in genes involved in adaptive immune function, proinflammatory cytokine production, and lymphoid lineage commitment. In addition, the presence of eight specific RNMSMs associated with blood cell traits at effect sizes comparable to Mendelian genetic mutations. Overall, we found that somatic mutations in blood are an unexpectedly common phenomenon with ancestry-specific determinants and human health consequences.

}, keywords = {Germ-Line Mutation, Hematopoiesis, Humans, Middle Aged, Mutation, Mutation, Missense, Phenotype}, issn = {2375-2548}, doi = {10.1126/sciadv.abm4945}, author = {Weinstock, Joshua S and Laurie, Cecelia A and Broome, Jai G and Taylor, Kent D and Guo, Xiuqing and Shuldiner, Alan R and O{\textquoteright}Connell, Jeffrey R and Lewis, Joshua P and Boerwinkle, Eric and Barnes, Kathleen C and Chami, Nathalie and Kenny, Eimear E and Loos, Ruth J F and Fornage, Myriam and Redline, Susan and Cade, Brian E and Gilliland, Frank D and Chen, Zhanghua and Gauderman, W James and Kumar, Rajesh and Grammer, Leslie and Schleimer, Robert P and Psaty, Bruce M and Bis, Joshua C and Brody, Jennifer A and Silverman, Edwin K and Yun, Jeong H and Qiao, Dandi and Weiss, Scott T and Lasky-Su, Jessica and DeMeo, Dawn L and Palmer, Nicholette D and Freedman, Barry I and Bowden, Donald W and Cho, Michael H and Vasan, Ramachandran S and Johnson, Andrew D and Yanek, Lisa R and Becker, Lewis C and Kardia, Sharon and He, Jiang and Kaplan, Robert and Heckbert, Susan R and Smith, Nicholas L and Wiggins, Kerri L and Arnett, Donna K and Irvin, Marguerite R and Tiwari, Hemant and Correa, Adolfo and Raffield, Laura M and Gao, Yan and de Andrade, Mariza and Rotter, Jerome I and Rich, Stephen S and Manichaikul, Ani W and Konkle, Barbara A and Johnsen, Jill M and Wheeler, Marsha M and Custer, Brian S and Duggirala, Ravindranath and Curran, Joanne E and Blangero, John and Gui, Hongsheng and Xiao, Shujie and Williams, L Keoki and Meyers, Deborah A and Li, Xingnan and Ortega, Victor and McGarvey, Stephen and Gu, C Charles and Chen, Yii-Der Ida and Lee, Wen-Jane and Shoemaker, M Benjamin and Darbar, Dawood and Roden, Dan and Albert, Christine and Kooperberg, Charles and Desai, Pinkal and Blackwell, Thomas W and Abecasis, Goncalo R and Smith, Albert V and Kang, Hyun M and Mathias, Rasika and Natarajan, Pradeep and Jaiswal, Siddhartha and Reiner, Alexander P and Bick, Alexander G} } @article {9449, title = {Whole genome analysis of plasma fibrinogen reveals population-differentiated genetic regulators with putative liver roles.}, journal = {medRxiv}, year = {2023}, month = {2023 Jun 12}, abstract = {

UNLABELLED: Genetic studies have identified numerous regions associated with plasma fibrinogen levels in Europeans, yet missing heritability and limited inclusion of non-Europeans necessitates further studies with improved power and sensitivity. Compared with array-based genotyping, whole genome sequencing (WGS) data provides better coverage of the genome and better representation of non-European variants. To better understand the genetic landscape regulating plasma fibrinogen levels, we meta-analyzed WGS data from the NHLBI{\textquoteright}s Trans-Omics for Precision Medicine (TOPMed) program (n=32,572), with array-based genotype data from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium (n=131,340) imputed to the TOPMed or Haplotype Reference Consortium panel. We identified 18 loci that have not been identified in prior genetic studies of fibrinogen. Of these, four are driven by common variants of small effect with reported MAF at least 10\% higher in African populations. Three ( , and signals contain predicted deleterious missense variants. Two loci, and , each harbor two conditionally distinct, non-coding variants. The gene region encoding the protein chain subunits ( ), contains 7 distinct signals, including one novel signal driven by rs28577061, a variant common (MAF=0.180) in African reference panels but extremely rare (MAF=0.008) in Europeans. Through phenome-wide association studies in the VA Million Veteran Program, we found associations between fibrinogen polygenic risk scores and thrombotic and inflammatory disease phenotypes, including an association with gout. Our findings demonstrate the utility of WGS to augment genetic discovery in diverse populations and offer new insights for putative mechanisms of fibrinogen regulation.

KEY POINTS: Largest and most diverse genetic study of plasma fibrinogen identifies 54 regions (18 novel), housing 69 conditionally distinct variants (20 novel).Sufficient power achieved to identify signal driven by African population variant.Links to (1) liver enzyme, blood cell and lipid genetic signals, (2) liver regulatory elements, and (3) thrombotic and inflammatory disease.

}, doi = {10.1101/2023.06.07.23291095}, author = {Huffman, Jennifer E and Nicolas, Jayna and Hahn, Julie and Heath, Adam S and Raffield, Laura M and Yanek, Lisa R and Brody, Jennifer A and Thibord, Florian and Almasy, Laura and Bartz, Traci M and Bielak, Lawrence F and Bowler, Russell P and Carrasquilla, Germ{\'a}n D and Chasman, Daniel I and Chen, Ming-Huei and Emmert, David B and Ghanbari, Mohsen and Haessle, Jeffery and Hottenga, Jouke-Jan and Kleber, Marcus E and Le, Ngoc-Quynh and Lee, Jiwon and Lewis, Joshua P and Li-Gao, Ruifang and Luan, Jian{\textquoteright}an and Malmberg, Anni and Mangino, Massimo and Marioni, Riccardo E and Martinez-Perez, Angel and Pankratz, Nathan and Polasek, Ozren and Richmond, Anne and Rodriguez, Benjamin At and Rotter, Jerome I and Steri, Maristella and Suchon, Pierre and Trompet, Stella and Weiss, Stefan and Zare, Marjan and Auer, Paul and Cho, Michael H and Christofidou, Paraskevi and Davies, Gail and de Geus, Eco and Deleuze, Jean-Francois and Delgado, Graciela E and Ekunwe, Lynette and Faraday, Nauder and G{\"o}gele, Martin and Greinacher, Andreas and He, Gao and Howard, Tom and Joshi, Peter K and Kilpel{\"a}inen, Tuomas O and Lahti, Jari and Linneberg, Allan and Naitza, Silvia and Noordam, Raymond and Pa{\"u}ls-Verg{\'e}s, Ferran and Rich, Stephen S and Rosendaal, Frits R and Rudan, Igor and Ryan, Kathleen A and Souto, Juan Carlos and van Rooij, Frank Ja and Wang, Heming and Zhao, Wei and Becker, Lewis C and Beswick, Andrew and Brown, Michael R and Cade, Brian E and Campbell, Harry and Cho, Kelly and Crapo, James D and Curran, Joanne E and de Maat, Moniek Pm and Doyle, Margaret and Elliott, Paul and Floyd, James S and Fuchsberger, Christian and Grarup, Niels and Guo, Xiuqing and Harris, Sarah E and Hou, Lifang and Kolcic, Ivana and Kooperberg, Charles and Menni, Cristina and Nauck, Matthias and O{\textquoteright}Connell, Jeffrey R and Orr{\`u}, Valeria and Psaty, Bruce M and R{\"a}ikk{\"o}nen, Katri and Smith, Jennifer A and Soria, Jos{\'e} Manuel and Stott, David J and van Hylckama Vlieg, Astrid and Watkins, Hugh and Willemsen, Gonneke and Wilson, Peter and Ben-Shlomo, Yoav and Blangero, John and Boomsma, Dorret and Cox, Simon R and Dehghan, Abbas and Eriksson, Johan G and Fiorillo, Edoardo and Fornage, Myriam and Hansen, Torben and Hayward, Caroline and Ikram, M Arfan and Jukema, J Wouter and Kardia, Sharon Lr and Lange, Leslie A and M{\"a}rz, Winfried and Mathias, Rasika A and Mitchell, Braxton D and Mook-Kanamori, Dennis O and Morange, Pierre-Emmanuel and Pedersen, Oluf and Pramstaller, Peter P and Redline, Susan and Reiner, Alexander and Ridker, Paul M and Silverman, Edwin K and Spector, Tim D and V{\"o}lker, Uwe and Wareham, Nick and Wilson, James F and Yao, Jie and Tr{\'e}gou{\"e}t, David-Alexandre and Johnson, Andrew D and Wolberg, Alisa S and de Vries, Paul S and Sabater-Lleal, Maria and Morrison, Alanna C and Smith, Nicholas L} }