Genetic Processes Commons^™

Improved Allele Frequencies In Gnomad Through Local Ancestry Inference, Pragati Kore, Michael W Wilson, Grace Tiao, Katherine Chao, Philip W Darnowsky, Nicholas A Watts, Jessica Honorato Mauer, Samantha M Baxter, Genome Aggregation Database Consortium, Heidi L Rehm, Mark J Daly, Konrad J Karczewski, Elizabeth G Atkinson

Faculty, Staff and Students Publications

The Genome Aggregation Database (gnomAD) is a foundational resource for allele frequency data, widely used in genomic research and clinical interpretation. However, traditional estimates rely on individual-level genetic ancestry groupings that may obscure variation in recently admixed populations. To improve resolution, we applied local ancestry inference (LAI) to over 27 million variants in two admixed groups: Admixed American (n = 7612) and African/African American (n = 20,250), deriving ancestry-specific allele frequencies. We show that 78.5% and 85.1% of variants in these groups, respectively, exhibit at least a twofold difference in ancestry-specific frequencies. Moreover, 81.49% of variants with LAI information would …

Comprehensive Genome Analysis And Variant Detection At Scale Using Dragen, Sairam Behera, Severine Catreux, Massimiliano Rossi, Sean Truong, Zhuoyi Huang, Michael Ruehle, Arun Visvanath, Gavin Parnaby, Cooper Roddey, Vitor Onuchic, Andrea Finocchio, Daniel L Cameron, Adam English, Shyamal Mehtalia, James Han, Rami Mehio, Fritz J Sedlazeck

Faculty, Staff and Students Publications

Research and medical genomics require comprehensive, scalable methods for the discovery of novel disease targets, evolutionary drivers and genetic markers with clinical significance. This necessitates a framework to identify all types of variants independent of their size or location. Here we present DRAGEN, which uses multigenome mapping with pangenome references, hardware acceleration and machine learning-based variant detection to provide insights into individual genomes, with ~30 min of computation time from raw reads to variant detection. DRAGEN outperforms current state-of-the-art methods in speed and accuracy across all variant types (single-nucleotide variations, insertions or deletions, short tandem repeats, structural variations and copy …

Genome-Wide Allele-Specific Expression In Multi-Tissue Samples From Healthy Male Baboons Reveals The Transcriptional Complexity Of Mammals, Ramesh Ramasamy, Muthuswamy Raveendran, R Alan Harris, Hiep D Le, Ludovic S Mure, Giorgia Benegiamo, Ouria Dkhissi-Benyahya, Howard Cooper, Jeffrey Rogers, Satchidananda Panda

Faculty, Staff and Students Publications

Allele-specific expression (ASE) is pivotal in understanding the genetic underpinnings of phenotypic variation within species, differences in disease susceptibility, and responses to environmental factors. We processed 11 different tissue types collected from 12 age-matched healthy olive baboons (Papio anubis) for genome-wide ASE analysis. By sequencing their genomes at a minimum depth of 30×, we identified over 16 million single-nucleotide variants (SNVs). We also generated long-read sequencing data, enabling the phasing of all variants present within the coding regions of 96.5% of assayable protein-coding genes as a single haplotype block. Given the extensive heterozygosity of baboons relative to humans, we could …

Computational And Functional Prioritization Identifies Genes That Rescue Behavior And Reduce Tau Protein In Fly And Human Cell Models Of Alzheimer Disease, Morgan C Stephens, Jiayang Li, Megan Mair, Justin Moore, Katy Zhu, Akash Tarkunde, Bismark Amoh, Alma M Perez, Arya Bhakare, Fangfei Guo, Joshua M Shulman, Ismael Al-Ramahi, Juan Botas

Faculty, Staff and Students Publications

Genome-wide association studies (GWASs) in Alzheimer disease (AD) have uncovered over 70 loci significantly associated with AD risk, but identifying the true causal gene(s) at these loci requires systematic functional validation that is rarely performed due to limitations of time and cost. Here, we integrate transcriptome-wide association study (TWAS) with colocalization analysis, fine-mapping, and additional annotation of AD GWAS variants to identify 123 genes at known and suggestive AD risk loci. A comparison with human AD brain transcriptome data confirmed that many of these candidate genes are dysregulated in human AD and correlate with neuropathology. We then tested all available …

Genome-Wide Association Meta-Analyses Of Drug-Resistant Epilepsy, Costin Leu, Andreja Avbersek, Remi Stevelink, Helena Martins Custodio, Siwei Chen, Doug Speed, Caitlin A Bennett, Lina Jonsson, Unnur Unnsteinsdóttir, Andrea L Jorgensen, Gianpiero L Cavalleri, Norman Delanty, John J Craig, Chantal Depondt, Michael R Johnson, Bobby P C Koeleman, Emadeldin Hassanin, Maryam Erfanian Omidvar, Roland Krause, Holger Lerche, Anthony G Marson, Terence J O'Brien, Josemir W Sander, Graeme J Sills, Pasquale Striano, Federico Zara, Hreinn Stefansson, Kari Stefansson, Patrick May, Benjamin M Neale, Dennis Lal, Samuel F Berkovic, Epi25 Collaborative, Epipgx Consortium, Sanjay M Sisodiya

Faculty, Staff and Student Publications

Background: Epilepsy is one of the most common neurological disorders, affecting over 50 million people worldwide. One-third of people with epilepsy do not respond to currently available anti-seizure medications, constituting one of the most important problems in epilepsy. Little is known about the molecular pathology of drug resistance in epilepsy, in particular, possible underlying genetic factors are largely unknown.

Methods: We performed a genome-wide association study (GWAS) in two epilepsy cohorts of European ancestry, comparing drug-resistant (N = 4208) to drug-responsive individuals (N = 2618) followed by meta-analyses across the studies. Next, we performed subanalyses split into two broad subtypes: …

Characterizing Features Affecting Local Ancestry Inference Performance In Admixed Populations, Jessica Honorato-Mauer, Nirav N Shah, Adam X Maihofer, Clement C Zai, Sintia Belangero, Caroline M Nievergelt, Marcos Santoro, Elizabeth G Atkinson

Faculty, Staff and Students Publications

In recent years, significant efforts have been made to improve methods for genomic studies of admixed populations using local ancestry inference (LAI). Accurate LAI is crucial to ensure that downstream analyses accurately reflect the genetic ancestry of research participants. Here, we test analytic strategies for LAI to provide guidelines for optimal accuracy, focusing on admixed populations reflective of Latin America's primary continental ancestries-African (AFR), Amerindigenous (AMR), and European (EUR). Simulating linkage-disequilibrium-informed admixed haplotypes under a variety of 2- and 3-way admixture models, we implemented a standard LAI pipeline, testing the impact of reference panel composition, DNA data type, demography, and …

Semi-Supervised Machine Learning Method For Predicting Homogeneous Ancestry Groups To Assess Hardy-Weinberg Equilibrium In Diverse Whole-Genome Sequencing Studies, Derek Shyr, Rounak Dey, Xihao Li, Hufeng Zhou, Eric Boerwinkle, Steve Buyske, Mark Daly, Richard A Gibbs, Ira Hall, Tara Matise, Catherine Reeves, Nathan O Stitziel, Michael Zody, Benjamin M Neale, Xihong Lin

Faculty, Staff and Student Publications

Large-scale, multi-ethnic whole-genome sequencing (WGS) studies, such as the National Human Genome Research Institute Genome Sequencing Program's Centers for Common Disease Genomics (CCDG), play an important role in increasing diversity for genetic research. Before performing association analyses, assessing Hardy-Weinberg equilibrium (HWE) is a crucial step in quality control procedures to remove low quality variants and ensure valid downstream analyses. Diverse WGS studies contain ancestrally heterogeneous samples; however, commonly used HWE methods assume that the samples are homogeneous. Therefore, directly applying these to the whole dataset can yield statistically invalid results. To account for this heterogeneity, HWE can be tested on …

Reconstructing Oral Cavity Tumor Evolution Through Brush Biopsy, Evit John, Tom Lesluyes, Toby M Baker, Maxime Tarabichi, Ann Gillenwater, Jennifer R Wang, Peter Van Loo, Xiao Zhao

Faculty, Staff and Student Publications

Oral potentially malignant disorders (OPMDs) with genomic alterations have a heightened risk of evolving into oral squamous cell carcinoma (OSCC). Currently, genomic data are typically obtained through invasive tissue biopsy. However, brush biopsy is a non-invasive method that has been utilized for identifying dysplastic cells in OPMD but its effectiveness in reflecting the genomic landscape of OPMDs remains uncertain. This pilot study investigates the potential of brush biopsy samples in accurately reconstructing the genomic profile and tumor evolution in a patient with both OPMD and OSCC. We analyzed single nucleotide variants (SNVs), copy number aberrations (CNAs), and subclonal architectures in …

Exploring The Complexity Of Systemic Sclerosis Etiology By Trio Whole Genome Sequencing, Hongzheng Dai, Shamika Ketkar, Taotao Tan, Elizabeth G Atkinson, Lindsay Burrage, Kim C Worley, Brian Christopher, Marka A Lyons, Shervin Assassi, Maureen D Mayes, Brendan Lee

Faculty, Staff and Students Publications

Systemic sclerosis (SSc) is a heterogeneous rare autoimmune fibrosing disorder affecting connective tissue. The etiology of systemic sclerosis is largely unknown and many genes have been suggested as susceptibility loci of modest impact by genome-wide association study (GWAS). Multiple factors can contribute to the pathological process of the disease, which makes it more difficult to identify possible disease-causing genetic alterations. In this study, we have applied whole genome sequencing (WGS) in 101 indexed family trios, supplemented with transcriptome sequencing on cultured fibroblast cells of four patients and five family controls where available. Single nucleotide variants (SNVs) and copy number variants …

Unveiling Novel Genetic Variants In 370 Challenging Medically Relevant Genes Using The Long Read Sequencing Data Of 41 Samples From 19 Global Populations, Yanfeng Ji, Junfan Zhao, Jiao Gong, Fritz J Sedlazeck, Shaohua Fan

Faculty, Staff and Students Publications

Background: A large number of challenging medically relevant genes (CMRGs) are situated in complex or highly repetitive regions of the human genome, hindering comprehensive characterization of genetic variants using next-generation sequencing technologies. In this study, we employed long-read sequencing technology, extensively utilized in studying complex genomic regions, to characterize genetic alterations, including short variants (single nucleotide variants and short insertions and deletions) and copy number variations, in 370 CMRGs across 41 individuals from 19 global populations.

Results: Our analysis revealed high levels of genetic variants in CMRGs, with 68.73% exhibiting copy number variations and 65.20% containing short variants that may …

Genetic Diversity Of 1,845 Rhesus Macaques Improves Genetic Variation Interpretation And Identifies Disease Models, Jun Wang, Meng Wang, Ala Moshiri, R Alan Harris, Muthuswamy Raveendran, Tracy Nguyen, Soohyun Kim, Laura Young, Keqing Wang, Roger Wiseman, David H O'Connor, Zach Johnson, Melween Martinez, Michael J Montague, Ken Sayers, Martha Lyke, Eric Vallender, Tim Stout, Yumei Li, Sara M Thomasy, Jeffrey Rogers, Rui Chen

Faculty, Staff and Students Publications

Understanding and treating human diseases require valid animal models. Leveraging the genetic diversity in rhesus macaque populations across eight primate centers in the United States, we conduct targeted-sequencing on 1845 individuals for 374 genes linked to inherited human retinal and neurodevelopmental diseases. We identify over 47,000 single nucleotide variants, a substantial proportion of which are shared with human populations. By combining rhesus and human allele frequencies with established variant prediction methods, we develop a machine learning-based score that outperforms established methods in predicting missense variant pathogenicity. Remarkably, we find a marked number of loss-of-function variants and putative deleterious variants, which …

Using Genome And Transcriptome Data From African-Ancestry Female Participants To Identify Putative Breast Cancer Susceptibility Genes, Jie Ping, Guochong Jia, Qiuyin Cai, Xingyi Guo, Ran Tao, Christine Ambrosone, Dezheng Huo, Stefan Ambs, Mollie E Barnard, Yu Chen, Montserrat Garcia-Closas, Jian Gu, Jennifer J Hu, Esther M John, Christopher I Li, Katherine Nathanson, Barbara Nemesure, Olufunmilayo I Olopade, Tuya Pal, Michael F Press, Maureen Sanderson, Dale P Sandler, Toshio Yoshimatsu, Prisca O Adejumo, Thomas Ahearn, Abenaa M Brewster, Anselm J M Hennis, Timothy Makumbi, Paul Ndom, Katie M O'Brien, Andrew F Olshan, Mojisola M Oluwasanu, Sonya Reid, Song Yao, Ebonee N Butler, Maosheng Huang, Atara Ntekim, Bingshan Li, Melissa A Troester, Julie R Palmer, Christopher A Haiman, Jirong Long, Wei Zheng

Faculty, Staff and Student Publications

African-ancestry (AA) participants are underrepresented in genetics research. Here, we conducted a transcriptome-wide association study (TWAS) in AA female participants to identify putative breast cancer susceptibility genes. We built genetic models to predict levels of gene expression, exon junction, and 3' UTR alternative polyadenylation using genomic and transcriptomic data generated in normal breast tissues from 150 AA participants and then used these models to perform association analyses using genomic data from 18,034 cases and 22,104 controls. At Bonferroni-corrected P < 0.05, we identified six genes associated with breast cancer risk, including four genes not previously reported (CTD-3080P12.3, EN1, LINC01956 and NUP210L). Most of these genes showed a stronger association with risk of estrogen-receptor (ER) negative or triple-negative than ER-positive breast cancer. We also replicated the associations with 29 genes reported in previous TWAS at P < 0.05 (one-sided), providing further support for an association of these genes with breast cancer risk. Our study sheds new light on the genetic basis of breast cancer and highlights the value of conducting research in AA populations.

Multi-Ancestry Genome-Wide Association Study Of Cannabis Use Disorder Yields Insight Into Disease Biology And Public Health Implications, Daniel F Levey, Marco Galimberti, Joseph D Deak, Frank R Wendt, Arjun Bhattacharya, Dora Koller, Kelly M Harrington, Rachel Quaden, Emma C Johnson, Priya Gupta, Mahantesh Biradar, Max Lam, Megan Cooke, Veera M Rajagopal, Stefany L L Empke, Hang Zhou, Yaira Z Nunez, Henry R Kranzler, Howard J Edenberg, Arpana Agrawal, Jordan W Smoller, Todd Lencz, David M Hougaard, Anders D Børglum, Ditte Demontis, Veterans Affairs Million Veteran Program, J Michael Gaziano, Michael J Gandal, Renato Polimanti, Murray B Stein, Joel Gelernter

Faculty, Staff and Student Publications

As recreational use of cannabis is being decriminalized in many places and medical use widely sanctioned, there are growing concerns about increases in cannabis use disorder (CanUD), which is associated with numerous medical comorbidities. Here we performed a genome-wide association study of CanUD in the Million Veteran Program (MVP), followed by meta-analysis in 1,054,365 individuals (ncases = 64,314) from four broad ancestries designated by the reference panel used for assignment (European n = 886,025, African n = 123,208, admixed American n = 38,289 and East Asian n = 6,843). Population-specific methods were applied to calculate single nucleotide polymorphism-based heritability within …

Rare Variants In Long Non-Coding Rnas Are Associated With Blood Lipid Levels In The Topmed Whole-Genome Sequencing Study, Yuxuan Wang, Margaret Sunitha Selvaraj, Xihao Li, Zilin Li, Jacob A Holdcraft, Donna K Arnett, Joshua C Bis, John Blangero, Eric Boerwinkle, Donald W Bowden, Brian E Cade, Jenna C Carlson, April P Carson, Yii-Der Ida Chen, Joanne E Curran, Paul S De Vries, Susan K Dutcher, Patrick T Ellinor, James S Floyd, Myriam Fornage, Barry I Freedman, Stacey Gabriel, Soren Germer, Richard A Gibbs, Xiuqing Guo, Jiang He, Nancy Heard-Costa, Bertha Hildalgo, Lifang Hou, Marguerite R Irvin, Roby Joehanes, Robert C Kaplan, Sharon Lr Kardia, Tanika N Kelly, Ryan Kim, Charles Kooperberg, Brian G Kral, Daniel Levy, Changwei Li, Chunyu Liu, Don Lloyd-Jone, Ruth Jf Loos, Michael C Mahaney, Lisa W Martin, Rasika A Mathias, Ryan L Minster, Braxton D Mitchell, May E Montasser, Alanna C Morrison, Joanne M Murabito, Take Naseri, Jeffrey R O'Connell, Nicholette D Palmer, Michael H Preuss, Bruce M Psaty, Laura M Raffield, Dabeeru C Rao, Susan Redline, Alexander P Reiner, Stephen S Rich, Muagututi'a Sefuiva Ruepena, Wayne H-H Sheu, Jennifer A Smith, Albert Smith, Hemant K Tiwari, Michael Y Tsai, Karine A Viaud-Martinez, Zhe Wang, Lisa R Yanek, Wei Zhao, Nhlbi Trans-Omics For Precision Medicine (Topmed) Consortium, Jerome I Rotter, Xihong Lin, Pradeep Natarajan, Gina M Peloso

Faculty, Staff and Student Publications

Long non-coding RNAs (lncRNAs) are known to perform important regulatory functions in lipid metabolism. Large-scale whole-genome sequencing (WGS) studies and new statistical methods for variant set tests now provide an opportunity to assess more associations between rare variants in lncRNA genes and complex traits across the genome. In this study, we used high-coverage WGS from 66,329 participants of diverse ancestries with measurement of blood lipids and lipoproteins (LDL-C, HDL-C, TC, and TG) in the National Heart, Lung, and Blood Institute (NHLBI) Trans-Omics for Precision Medicine (TOPMed) program to investigate the role of lncRNAs in lipid variability. We aggregated rare variants …

Fast Inference Of Genetic Recombination Rates In Biobank Scale Data, Ardalan Naseri, William Yue, Shaojie Zhang, Degui Zhi

Faculty, Staff and Student Publications

Although rates of recombination events across the genome (genetic maps) are fundamental to genetic research, the majority of current studies only use one standard map. There is evidence suggesting population differences in genetic maps, and thus estimating population-specific maps, are of interest. Although the recent availability of biobank-scale data offers such opportunities, current methods are not efficient at leveraging very large sample sizes. The most accurate methods are still linkage disequilibrium (LD)-based methods that are only tractable for a few hundred samples. In this work, we propose a fast and memory-efficient method for estimating genetic maps from population genotyping data. …

Genome-Wide Association Study Of Lung Adenocarcinoma In East Asia And Comparison With A European Population, Jianxin Shi, Kouya Shiraishi, Jiyeon Choi, Keitaro Matsuo, Tzu-Yu Chen, Juncheng Dai, Rayjean J Hung, Kexin Chen, Xiao-Ou Shu, Young Tae Kim, Maria Teresa Landi, Dongxin Lin, Wei Zheng, Zhihua Yin, Baosen Zhou, Bao Song, Jiucun Wang, Wei Jie Seow, Lei Song, I-Shou Chang, Wei Hu, Li-Hsin Chien, Qiuyin Cai, Yun-Chul Hong, Hee Nam Kim, Yi-Long Wu, Maria Pik Wong, Brian Douglas Richardson, Karen M Funderburk, Shilan Li, Tongwu Zhang, Charles Breeze, Zhaoming Wang, Batel Blechter, Bryan A Bassig, Jin Hee Kim, Demetrius Albanes, Jason Y Y Wong, Min-Ho Shin, Lap Ping Chung, Yang Yang, She-Juan An, Hong Zheng, Yasushi Yatabe, Xu-Chao Zhang, Young-Chul Kim, Neil E Caporaso, Jiang Chang, James Chung Man Ho, Michiaki Kubo, Yataro Daigo, Minsun Song, Yukihide Momozawa, Yoichiro Kamatani, Masashi Kobayashi, Kenichi Okubo, Takayuki Honda, Dean H Hosgood, Hideo Kunitoh, Harsh Patel, Shun-Ichi Watanabe, Yohei Miyagi, Haruhiko Nakayama, Shingo Matsumoto, Hidehito Horinouchi, Masahiro Tsuboi, Ryuji Hamamoto, Koichi Goto, Yuichiro Ohe, Atsushi Takahashi, Akiteru Goto, Yoshihiro Minamiya, Megumi Hara, Yuichiro Nishida, Kenji Takeuchi, Kenji Wakai, Koichi Matsuda, Yoshinori Murakami, Kimihiro Shimizu, Hiroyuki Suzuki, Motonobu Saito, Yoichi Ohtaki, Kazumi Tanaka, Tangchun Wu, Fusheng Wei, Hongji Dai, Mitchell J Machiela, Jian Su, Yeul Hong Kim, In-Jae Oh, Victor Ho Fun Lee, Gee-Chen Chang, Ying-Huang Tsai, Kuan-Yu Chen, Ming-Shyan Huang, Wu-Chou Su, Yuh-Min Chen, Adeline Seow, Jae Yong Park, Sun-Seog Kweon, Kun-Chieh Chen, Yu-Tang Gao, Biyun Qian, Chen Wu, Daru Lu, Jianjun Liu, Ann G Schwartz, Richard Houlston, Margaret R Spitz, Ivan P Gorlov, Xifeng Wu, Ping Yang, Stephen Lam, Adonina Tardon, Chu Chen, Stig E Bojesen, Mattias Johansson, Angela Risch, Heike Bickeböller, Bu-Tian Ji, H-Erich Wichmann, David C Christiani, Gadi Rennert, Susanne Arnold, Paul Brennan, James Mckay, John K Field, Sanjay S Shete, Loic Le Marchand, Geoffrey Liu, Angeline Andrew, Lambertus A Kiemeney, Shan Zienolddiny-Narui, Kjell Grankvist, Mikael Johansson, Angela Cox, Fiona Taylor, Jian-Min Yuan, Philip Lazarus, Matthew B Schabath, Melinda C Aldrich, Hyo-Sung Jeon, Shih Sheng Jiang, Jae Sook Sung, Chung-Hsing Chen, Chin-Fu Hsiao, Yoo Jin Jung, Huan Guo, Zhibin Hu, Laurie Burdett, Meredith Yeager, Amy Hutchinson, Belynda Hicks, Jia Liu, Bin Zhu, Sonja I Berndt, Wei Wu, Junwen Wang, Yuqing Li, Jin Eun Choi, Kyong Hwa Park, Sook Whan Sung, Li Liu, Chang Hyun Kang, Wen-Chang Wang, Jun Xu, Peng Guan, Wen Tan, Chong-Jen Yu, Gong Yang, Alan Dart Loon Sihoe, Ying Chen, Yi Young Choi, Jun Suk Kim, Ho-Il Yoon, In Kyu Park, Ping Xu, Qincheng He, Chih-Liang Wang, Hsiao-Han Hung, Roel C H Vermeulen, Iona Cheng, Junjie Wu, Wei-Yen Lim, Fang-Yu Tsai, John K C Chan, Jihua Li, Hongyan Chen, Hsien-Chih Lin, Li Jin, Jie Liu, Norie Sawada, Taiki Yamaji, Kathleen Wyatt, Shengchao A Li, Hongxia Ma, Meng Zhu, Zhehai Wang, Sensen Cheng, Xuelian Li, Yangwu Ren, Ann Chao, Motoki Iwasaki, Junjie Zhu, Gening Jiang, Ke Fei, Guoping Wu, Chih-Yi Chen, Chien-Jen Chen, Pan-Chyr Yang, Jinming Yu, Victoria L Stevens, Joseph F Fraumeni, Nilanjan Chatterjee, Olga Y Gorlova, Chao Agnes Hsiung, Christopher I Amos, Hongbing Shen, Stephen J Chanock, Nathaniel Rothman, Takashi Kohno, Qing Lan

Faculty, Staff and Student Publications

Lung adenocarcinoma is the most common type of lung cancer. Known risk variants explain only a small fraction of lung adenocarcinoma heritability. Here, we conducted a two-stage genome-wide association study of lung adenocarcinoma of East Asian ancestry (21,658 cases and 150,676 controls; 54.5% never-smokers) and identified 12 novel susceptibility variants, bringing the total number to 28 at 25 independent loci. Transcriptome-wide association analyses together with colocalization studies using a Taiwanese lung expression quantitative trait loci dataset (n = 115) identified novel candidate genes, including FADS1 at 11q12 and ELF5 at 11p13. In a multi-ancestry meta-analysis of East Asian and European …

A Saturated Map Of Common Genetic Variants Associated With Human Height, Loïc Yengo, Sailaja Vedantam, Eirini Marouli, Julia Sidorenko, Eric Bartell, Saori Sakaue, Marielisa Graff, Anders U Eliasen, Yunxuan Jiang, Sridharan Raghavan, Jenkai Miao, Joshua D Arias, Sarah E Graham, Ronen E Mukamel, Cassandra N Spracklen, Xianyong Yin, Shyh-Huei Chen, Teresa Ferreira, Heather H Highland, Yingjie Ji, Tugce Karaderi, Kuang Lin, Kreete Lüll, Deborah E Malden, Carolina Medina-Gomez, Moara Machado, Amy Moore, Sina Rüeger, Xueling Sim, Scott Vrieze, Tarunveer S Ahluwalia, Masato Akiyama, Matthew A Allison, Marcus Alvarez, Mette K Andersen, Alireza Ani, Vivek Appadurai, Liubov Arbeeva, Seema Bhaskar, Lawrence F Bielak, Sailalitha Bollepalli, Lori L Bonnycastle, Jette Bork-Jensen, Jonathan P Bradfield, Yuki Bradford, Peter S Braund, Jennifer A Brody, Kristoffer S Burgdorf, Brian E Cade, Hui Cai, Qiuyin Cai, Archie Campbell, Marisa Cañadas-Garre, Eulalia Catamo, Jin-Fang Chai, Xiaoran Chai, Li-Ching Chang, Yi-Cheng Chang, Chien-Hsiun Chen, Alessandra Chesi, Seung Hoan Choi, Ren-Hua Chung, Massimiliano Cocca, Maria Pina Concas, Christian Couture, Gabriel Cuellar-Partida, Rebecca Danning, E Warwick Daw, Frauke Degenhard, Graciela E Delgado, Alessandro Delitala, Ayse Demirkan, Xuan Deng, Poornima Devineni, Alexander Dietl, Maria Dimitriou, Latchezar Dimitrov, Rajkumar Dorajoo, Arif B Ekici, Jorgen E Engmann, Zammy Fairhurst-Hunter, Aliki-Eleni Farmaki, Jessica D Faul, Juan-Carlos Fernandez-Lopez, Lukas Forer, Margherita Francescatto, Sandra Freitag-Wolf, Christian Fuchsberger, Tessel E Galesloot, Yan Gao, Zishan Gao, Frank Geller, Olga Giannakopoulou, Franco Giulianini, Anette P Gjesing, Anuj Goel, Scott D Gordon, Mathias Gorski, Jakob Grove, Xiuqing Guo, Stefan Gustafsson, Jeffrey Haessler, Thomas F Hansen, Aki S Havulinna, Simon J Haworth, Jing He, Nancy Heard-Costa, Prashantha Hebbar, George Hindy, Yuk-Lam A Ho, Edith Hofer, Elizabeth Holliday, Katrin Horn, Whitney E Hornsby, Jouke-Jan Hottenga, Hongyan Huang, Jie Huang, Alicia Huerta-Chagoya, Jennifer E Huffman, Yi-Jen Hung, Shaofeng Huo, Mi Yeong Hwang, Hiroyuki Iha, Daisuke D Ikeda, Masato Isono, Anne U Jackson, Susanne Jäger, Iris E Jansen, Ingegerd Johansson, Jost B Jonas, Anna Jonsson, Torben Jørgensen, Ioanna-Panagiota Kalafati, Masahiro Kanai, Stavroula Kanoni, Line L Kårhus, Anuradhani Kasturiratne, Tomohiro Katsuya, Takahisa Kawaguchi, Rachel L Kember, Katherine A Kentistou, Han-Na Kim, Young Jin Kim, Marcus E Kleber, Maria J Knol, Azra Kurbasic, Marie Lauzon, Phuong Le, Rodney Lea, Jong-Young Lee, Hampton L Leonard, Shengchao A Li, Xiaohui Li, Xiaoyin Li, Jingjing Liang, Honghuang Lin, Shih-Yi Lin, Jun Liu, Xueping Liu, Ken Sin Lo, Jirong Long, Laura Lores-Motta, Jian'an Luan, Valeriya Lyssenko, Leo-Pekka Lyytikäinen, Anubha Mahajan, Vasiliki Mamakou, Massimo Mangino, Ani Manichaikul, Jonathan Marten, Manuel Mattheisen, Laven Mavarani, Aaron F Mcdaid, Karina Meidtner, Tori L Melendez, Josep M Mercader, Yuri Milaneschi, Jason E Miller, Iona Y Millwood, Pashupati P Mishra, Ruth E Mitchell, Line T Møllehave, Anna Morgan, Soeren Mucha, Matthias Munz, Masahiro Nakatochi, Christopher P Nelson, Maria Nethander, Chu Won Nho, Aneta A Nielsen, Ilja M Nolte, Suraj S Nongmaithem, Raymond Noordam, Ioanna Ntalla, Teresa Nutile, Anita Pandit, Paraskevi Christofidou, Katri Pärna, Marc Pauper, Eva R B Petersen, Liselotte V Petersen, Niina Pitkänen, Ozren Polašek, Alaitz Poveda, Michael H Preuss, Saiju Pyarajan, Laura M Raffield, Hiromi Rakugi, Julia Ramirez, Asif Rasheed, Dennis Raven, Nigel W Rayner, Carlos Riveros, Rebecca Rohde, Daniela Ruggiero, Sanni E Ruotsalainen, Kathleen A Ryan, Maria Sabater-Lleal, Richa Saxena, Markus Scholz, Anoop Sendamarai, Botong Shen, Jingchunzi Shi, Jae Hun Shin, Carlo Sidore, Colleen M Sitlani, Roderick C Slieker, Roelof A J Smit, Albert V Smith, Jennifer A Smith, Laura J Smyth, Lorraine Southam, Valgerdur Steinthorsdottir, Liang Sun, Fumihiko Takeuchi, Divya Sri Priyanka Tallapragada, Kent D Taylor, Bamidele O Tayo, Catherine Tcheandjieu, Natalie Terzikhan, Paola Tesolin, Alexander Teumer, Elizabeth Theusch, Deborah J Thompson, Gudmar Thorleifsson, Paul R H J Timmers, Stella Trompet, Constance Turman, Simona Vaccargiu, Sander W Van Der Laan, Peter J Van Der Most, Jan B Van Klinken, Jessica Van Setten, Shefali S Verma, Niek Verweij, Yogasudha Veturi, Carol A Wang, Chaolong Wang, Lihua Wang, Zhe Wang, Helen R Warren, Wen Bin Wei, Ananda R Wickremasinghe, Matthias Wielscher, Kerri L Wiggins, Bendik S Winsvold, Andrew Wong, Yang Wu, Matthias Wuttke, Rui Xia, Tian Xie, Ken Yamamoto, Jingyun Yang, Jie Yao, Hannah Young, Noha A Yousri, Lei Yu, Lingyao Zeng, Weihua Zhang, Xinyuan Zhang, Jing-Hua Zhao, Wei Zhao, Wei Zhou, Martina E Zimmermann, Magdalena Zoledziewska, Linda S Adair, Hieab H H Adams, Carlos A Aguilar-Salinas, Fahd Al-Mulla, Donna K Arnett, Folkert W Asselbergs, Bjørn Olav Åsvold, John Attia, Bernhard Banas, Stefania Bandinelli, David A Bennett, Tobias Bergler, Dwaipayan Bharadwaj, Ginevra Biino, Hans Bisgaard, Eric Boerwinkle, Carsten A Böger, Klaus Bønnelykke, Dorret I Boomsma, Anders D Børglum, Judith B Borja, Claude Bouchard, Donald W Bowden, Ivan Brandslund, Ben Brumpton, Julie E Buring, Mark J Caulfield, John C Chambers, Giriraj R Chandak, Stephen J Chanock, Nish Chaturvedi, Yii-Der Ida Chen, Zhengming Chen, Ching-Yu Cheng, Ingrid E Christophersen, Marina Ciullo, John W Cole, Francis S Collins, Richard S Cooper, Miguel Cruz, Francesco Cucca, L Adrienne Cupples, Michael J Cutler, Scott M Damrauer, Thomas M Dantoft, Gert J De Borst, Lisette C P G M De Groot, Philip L De Jager, Dominique P V De Kleijn, H Janaka De Silva, George V Dedoussis, Anneke I Den Hollander, Shufa Du, Douglas F Easton, Petra J M Elders, A Heather Eliassen, Patrick T Ellinor, Sölve Elmståhl, Jeanette Erdmann, Michele K Evans, Diane Fatkin, Bjarke Feenstra, Mary F Feitosa, Luigi Ferrucci, Ian Ford, Myriam Fornage, Andre Franke, Paul W Franks, Barry I Freedman, Paolo Gasparini, Christian Gieger, Giorgia Girotto, Michael E Goddard, Yvonne M Golightly, Clicerio Gonzalez-Villalpando, Penny Gordon-Larsen, Harald Grallert, Struan F A Grant, Niels Grarup, Lyn Griffiths, Vilmundur Gudnason, Christopher Haiman, Hakon Hakonarson, Torben Hansen, Catharina A Hartman, Andrew T Hattersley, Caroline Hayward, Susan R Heckbert, Chew-Kiat Heng, Christian Hengstenberg, Alex W Hewitt, Haretsugu Hishigaki, Carel B Hoyng, Paul L Huang, Wei Huang, Steven C Hunt, Kristian Hveem, Elina Hyppönen, William G Iacono, Sahoko Ichihara, M Arfan Ikram, Carmen R Isasi, Rebecca D Jackson, Marjo-Riitta Jarvelin, Zi-Bing Jin, Karl-Heinz Jöckel, Peter K Joshi, Pekka Jousilahti, J Wouter Jukema, Mika Kähönen, Yoichiro Kamatani, Kui Dong Kang, Jaakko Kaprio, Sharon L R Kardia, Fredrik Karpe, Norihiro Kato, Frank Kee, Thorsten Kessler, Amit V Khera, Chiea Chuen Khor, Lambertus A L M Kiemeney, Bong-Jo Kim, Eung Kweon Kim, Hyung-Lae Kim, Paulus Kirchhof, Mika Kivimaki, Woon-Puay Koh, Heikki A Koistinen, Genovefa D Kolovou, Jaspal S Kooner, Charles Kooperberg, Anna Köttgen, Peter Kovacs, Adriaan Kraaijeveld, Peter Kraft, Ronald M Krauss, Meena Kumari, Zoltan Kutalik, Markku Laakso, Leslie A Lange, Claudia Langenberg, Lenore J Launer, Loic Le Marchand, Hyejin Lee, Nanette R Lee, Terho Lehtimäki, Huaixing Li, Liming Li, Wolfgang Lieb, Xu Lin, Lars Lind, Allan Linneberg, Ching-Ti Liu, Jianjun Liu, Markus Loeffler, Barry London, Steven A Lubitz, Stephen J Lye, David A Mackey, Reedik Mägi, Patrik K E Magnusson, Gregory M Marcus, Pedro Marques Vidal, Nicholas G Martin, Winfried März, Fumihiko Matsuda, Robert W Mcgarrah, Matt Mcgue, Amy Jayne Mcknight, Sarah E Medland, Dan Mellström, Andres Metspalu, Braxton D Mitchell, Paul Mitchell, Dennis O Mook-Kanamori, Andrew D Morris, Lorelei A Mucci, Patricia B Munroe, Mike A Nalls, Saman Nazarian, Amanda E Nelson, Matt J Neville, Christopher Newton-Cheh, Christopher S Nielsen, Markus M Nöthen, Claes Ohlsson, Albertine J Oldehinkel, Lorena Orozco, Katja Pahkala, Päivi Pajukanta, Colin N A Palmer, Esteban J Parra, Cristian Pattaro, Oluf Pedersen, Craig E Pennell, Brenda W J H Penninx, Louis Perusse, Annette Peters, Patricia A Peyser, David J Porteous, Danielle Posthuma, Chris Power, Peter P Pramstaller, Michael A Province, Qibin Qi, Jia Qu, Daniel J Rader, Olli T Raitakari, Sarju Ralhan, Loukianos S Rallidis, Dabeeru C Rao, Susan Redline, Dermot F Reilly, Alexander P Reiner, Sang Youl Rhee, Paul M Ridker, Michiel Rienstra, Samuli Ripatti, Marylyn D Ritchie, Dan M Roden, Frits R Rosendaal, Jerome I Rotter, Igor Rudan, Femke Rutters, Charumathi Sabanayagam, Danish Saleheen, Veikko Salomaa, Nilesh J Samani, Dharambir K Sanghera, Naveed Sattar, Börge Schmidt, Helena Schmidt, Reinhold Schmidt, Matthias B Schulze, Heribert Schunkert, Laura J Scott, Rodney J Scott, Peter Sever, Eric J Shiroma, M Benjamin Shoemaker, Xiao-Ou Shu, Eleanor M Simonsick, Mario Sims, Jai Rup Singh, Andrew B Singleton, Moritz F Sinner, J Gustav Smith, Harold Snieder, Tim D Spector, Meir J Stampfer, Klaus J Stark, David P Strachan, Leen M 'T Hart, Yasuharu Tabara, Hua Tang, Jean-Claude Tardif, Thangavel A Thanaraj, Nicholas J Timpson, Anke Tönjes, Angelo Tremblay, Tiinamaija Tuomi, Jaakko Tuomilehto, Maria-Teresa Tusié-Luna, Andre G Uitterlinden, Rob M Van Dam, Pim Van Der Harst, Nathalie Van Der Velde, Cornelia M Van Duijn, Natasja M Van Schoor, Veronique Vitart, Uwe Völker, Peter Vollenweider, Henry Völzke, Niels H Wacher-Rodarte, Mark Walker, Ya Xing Wang, Nicholas J Wareham, Richard M Watanabe, Hugh Watkins, David R Weir, Thomas M Werge, Elisabeth Widen, Lynne R Wilkens, Gonneke Willemsen, Walter C Willett, James F Wilson, Tien-Yin Wong, Jeong-Taek Woo, Alan F Wright, Jer-Yuarn Wu, Huichun Xu, Chittaranjan S Yajnik, Mitsuhiro Yokota, Jian-Min Yuan, Eleftheria Zeggini, Babette S Zemel, Wei Zheng, Xiaofeng Zhu, Joseph M Zmuda, Alan B Zonderman, John-Anker Zwart, Daniel I Chasman, Yoon Shin Cho, Iris M Heid, Mark I Mccarthy, Maggie C Y Ng, Christopher J O'Donnell, Fernando Rivadeneira, Unnur Thorsteinsdottir, Yan V Sun, E Shyong Tai, Michael Boehnke, Panos Deloukas, Anne E Justice, Cecilia M Lindgren, Ruth J F Loos, Karen L Mohlke, Kari E North, Kari Stefansson, Robin G Walters, Thomas W Winkler, Kristin L Young, Po-Ru Loh, Jian Yang, Tõnu Esko, Themistocles L Assimes, Adam Auton, Goncalo R Abecasis, Cristen J Willer, Adam E Locke, Sonja I Berndt, Guillaume Lettre, Timothy M Frayling, Yukinori Okada, Andrew R Wood, Peter M Visscher, Joel N Hirschhorn

Faculty, Staff and Student Publications

Common single-nucleotide polymorphisms (SNPs) are predicted to collectively explain 40–50% of phenotypic variation in human height, but identifying the specific variants and associated regions requires huge sample sizes1. Here, using data from a genome-wide association study of 5.4 million individuals of diverse ancestries, we show that 12,111 independent SNPs that are significantly associated with height account for nearly all of the common SNP-based heritability. These SNPs are clustered within 7,209 non-overlapping genomic segments with a mean size of around 90 kb, covering about 21% of the genome. The density of independent associations varies across the genome and the …

Plasma Proteome Analyses In Individuals Of European And African Ancestry Identify Cis-Pqtls And Models For Proteome-Wide Association Studies, Jingning Zhang, Diptavo Dutta, Anna Köttgen, Adrienne Tin, Pascal Schlosser, Morgan E Grams, Benjamin Harvey, Ckdgen Consortium, Bing Yu, Eric Boerwinkle, Josef Coresh, Nilanjan Chatterjee

Faculty, Staff and Student Publications

Improved understanding of genetic regulation of the proteome can facilitate identification of the causal mechanisms for complex traits. We analyzed data on 4,657 plasma proteins from 7,213 European American (EA) and 1,871 African American (AA) individuals from the Atherosclerosis Risk in Communities study, and further replicated findings on 467 AA individuals from the African American Study of Kidney Disease and Hypertension study. Here, we identified 2,004 proteins in EA and 1,618 in AA, with most overlapping, which showed associations with common variants in cis-regions. Availability of AA samples led to smaller credible sets and notable number of population-specific cis-protein quantitative …