Other Genetics and Genomics Commons^™

Unsupervised Deep Representation Learning Enables Phenotype Discovery For Genetic Association Studies Of Brain Imaging, Khush Patel, Ziqian Xie, Hao Yuan, Sheikh Muhammad Saiful Islam, Yaochen Xie, Wei He, Wanheng Zhang, Assaf Gottlieb, Han Chen, Luca Giancardo, Alexander Knaack, Evan Fletcher, Myriam Fornage, Shuiwang Ji, Degui Zhi

Faculty, Staff and Student Publications

Understanding the genetic architecture of brain structure is challenging, partly due to difficulties in designing robust, non-biased descriptors of brain morphology. Until recently, brain measures for genome-wide association studies (GWAS) consisted of traditionally expert-defined or software-derived image-derived phenotypes (IDPs) that are often based on theoretical preconceptions or computed from limited amounts of data. Here, we present an approach to derive brain imaging phenotypes using unsupervised deep representation learning. We train a 3-D convolutional autoencoder model with reconstruction loss on 6130 UK Biobank (UKBB) participants' T1 or T2-FLAIR (T2) brain MRIs to create a 128-dimensional representation known as Unsupervised Deep learning …

Mosaic Chromosomal Alterations In Blood Across Ancestries Using Whole-Genome Sequencing, Yasminka A Jakubek, Ying Zhou, Adrienne Stilp, Jason Bacon, Justin W Wong, Zuhal Ozcan, Donna Arnett, Kathleen Barnes, Joshua C Bis, Eric Boerwinkle, Jennifer A Brody, April P Carson, Daniel I Chasman, Jiawen Chen, Michael Cho, Matthew P Conomos, Nancy Cox, Margaret F Doyle, Myriam Fornage, Xiuqing Guo, Sharon L R Kardia, Joshua P Lewis, Ruth J F Loos, Xiaolong Ma, Mitchell J Machiela, Taralynn M Mack, Rasika A Mathias, Braxton D Mitchell, Josyf C Mychaleckyj, Kari North, Nathan Pankratz, Patricia A Peyser, Michael H Preuss, Bruce Psaty, Laura M Raffield, Ramachandran S Vasan, Susan Redline, Stephen S Rich, Jerome I Rotter, Edwin K Silverman, Jennifer A Smith, Aaron P Smith, Margaret Taub, Kent D Taylor, Jeong Yun, Yun Li, Pinkal Desai, Alexander G Bick, Alexander P Reiner, Paul Scheet, Paul L Auer

Faculty, Staff and Student Publications

Megabase-scale mosaic chromosomal alterations (mCAs) in blood are prognostic markers for a host of human diseases. Here, to gain a better understanding of mCA rates in genetically diverse populations, we analyzed whole-genome sequencing data from 67,390 individuals from the National Heart, Lung, and Blood Institute Trans-Omics for Precision Medicine program. We observed higher sensitivity with whole-genome sequencing data, compared with array-based data, in uncovering mCAs at low mutant cell fractions and found that individuals of European ancestry have the highest rates of autosomal mCAs and the lowest rates of chromosome X mCAs, compared with individuals of African or Hispanic ancestry. …

Dna Methylation Analysis Is Used To Identify Novel Genetic Loci Associated With Circulating Fibrinogen Levels In Blood, Julie Hahn, Jan Bressler, Arce Domingo-Relloso, Ming-Huei Chen, Daniel L Mccartney, Alexander Teumer, Jenny Van Dongen, Marcus E Kleber, Dylan Aïssi, Brenton R Swenson, Jie Yao, Wei Zhao, Jian Huang, Yujing Xia, Michael R Brown, Ricardo Costeira, Eco J C De Geus, Graciela E Delgado, Dre'von A Dobson, Paul Elliott, Hans J Grabe, Xiuqing Guo, Sarah E Harris, Jennifer E Huffman, Sharon L R Kardia, Yongmei Liu, Stefan Lorkowski, Riccardo E Marioni, Matthias Nauck, Scott M Ratliff, Maria Sabater-Lleal, Tim D Spector, Pierre Suchon, Kent D Taylor, Florian Thibord, David-Alexandre Trégouët, Kerri L Wiggins, Gonneke Willemsen, Jordana T Bell, Dorret I Boomsma, Shelley A Cole, Simon R Cox, Abbas Dehghan, Andreas Greinacher, Karin Haack, Winfried März, Pierre-Emmanuel Morange, Jerome I Rotter, Nona Sotoodehnia, Maria Tellez-Plaza, Ana Navas-Acien, Jennifer A Smith, Andrew D Johnson, Myriam Fornage, Nicholas L Smith, Alisa S Wolberg, Alanna C Morrison, Paul S De Vries

Faculty, Staff and Student Publications

Background:

Fibrinogen plays an essential role in blood coagulation and inflammation. Circulating fibrinogen levels may be determined by inter-individual differences in DNA methylation at CpG sites, and vice versa.

Methods:

We performed an epigenome-wide association study (EWAS) of circulating fibrinogen levels in 18,037 White, Black, American Indian, and Hispanic participants representing 14 studies from the CHARGE consortium. Circulating leukocyte DNA methylation was measured in 12,904 participants using the Illumina 450K array, and in 5,133 participants using the EPIC array. Each study performed an EWAS of fibrinogen using linear mixed models adjusted for potential confounders. Study-specific results were combined using array-specific …

Whole Genome Sequencing Identifies Structural Variants Contributing To Hematologic Traits In The Nhlbi Topmed Program, Marsha M Wheeler, Adrienne M Stilp, Shuquan Rao, Bjarni V Halldórsson, Doruk Beyter, Jia Wen, Anna V Mihkaylova, Caitlin P Mchugh, John Lane, Min-Zhi Jiang, Laura M Raffield, Goo Jun, Fritz J Sedlazeck, Ginger Metcalf, Yao Yao, Joshua B Bis, Nathalie Chami, Paul S De Vries, Pinkal Desai, James S Floyd, Yan Gao, Kai Kammers, Wonji Kim, Jee-Young Moon, Aakrosh Ratan, Lisa R Yanek, Laura Almasy, Lewis C Becker, John Blangero, Michael H Cho, Joanne E Curran, Myriam Fornage, Robert C Kaplan, Joshua P Lewis, Ruth J F Loos, Braxton D Mitchell, Alanna C Morrison, Michael Preuss, Bruce M Psaty, Stephen S Rich, Jerome I Rotter, Hua Tang, Russell P Tracy, Eric Boerwinkle, Goncalo R Abecasis, Thomas W Blackwell, Albert V Smith, Andrew D Johnson, Rasika A Mathias, Deborah A Nickerson, Matthew P Conomos, Yun Li, Unnur Þorsteinsdóttir, Magnús K Magnússon, Kari Stefansson, Nathan D Pankratz, Daniel E Bauer, Paul L Auer, Alex P Reiner

Faculty, Staff and Student Publications

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 …

Leveraging Pleiotropy To Discover And Interpret Gwas Results For Sleep-Associated Traits, Sung Chun, Sebastian Akle, Athanasios Teodosiadis, Brian E Cade, Heming Wang, Tamar Sofer, Daniel S Evans, Katie L Stone, Sina A Gharib, Sutapa Mukherjee, Lyle J Palmer, David Hillman, Jerome I Rotter, Craig L Hanis, John A Stamatoyannopoulos, Susan Redline, Chris Cotsapas, Shamil R Sunyaev

Faculty, Staff and Student Publications

Genetic association studies of many heritable traits resulting from physiological testing often have modest sample sizes due to the cost and burden of the required phenotyping. This reduces statistical power and limits discovery of multiple genetic associations. We present a strategy to leverage pleiotropy between traits to both discover new loci and to provide mechanistic hypotheses of the underlying pathophysiology. Specifically, we combine a colocalization test with a locus-level test of pleiotropy. In simulations, we show that this approach is highly selective for identifying true pleiotropy driven by the same causative variant, thereby improves the chance to replicate the associations …

A Framework For Detecting Noncoding Rare-Variant Associations Of Large-Scale Whole-Genome Sequencing Studies, Zilin Li, Xihao Li, Hufeng Zhou, Sheila M Gaynor, Margaret Sunitha Selvaraj, Theodore Arapoglou, Corbin Quick, Yaowu Liu, Han Chen, Ryan Sun, Rounak Dey, Donna K Arnett, Paul L Auer, Lawrence F Bielak, Joshua C Bis, Thomas W Blackwell, John Blangero, Eric Boerwinkle, Donald W Bowden, Jennifer A Brody, Brian E Cade, Matthew P Conomos, Adolfo Correa, L Adrienne Cupples, Joanne E Curran, Paul S De Vries, Ravindranath Duggirala, Nora Franceschini, Barry I Freedman, Harald H H Göring, Xiuqing Guo, Rita R Kalyani, Charles Kooperberg, Brian G Kral, Leslie A Lange, Bridget M Lin, Ani Manichaikul, Alisa K Manning, Lisa W Martin, Rasika A Mathias, James B Meigs, Braxton D Mitchell, May E Montasser, Alanna C Morrison, Take Naseri, Jeffrey R O'Connell, Nicholette D Palmer, Patricia A Peyser, Bruce M Psaty, Laura M Raffield, Susan Redline, Alexander P Reiner, Muagututi'a Sefuiva Reupena, Kenneth M Rice, Stephen S Rich, Jennifer A Smith, Kent D Taylor, Margaret A Taub, Ramachandran S Vasan, Daniel E Weeks, James G Wilson, Lisa R Yanek, Wei Zhao, Jerome I Rotter, Cristen J Willer, Pradeep Natarajan, Gina M Peloso, Xihong Lin

Faculty, Staff and Student Publications

Large-scale whole-genome sequencing studies have enabled analysis of noncoding rare-variant (RV) associations with complex human diseases and traits. Variant-set analysis is a powerful approach to study RV association. However, existing methods have limited ability in analyzing the noncoding genome. We propose a computationally efficient and robust noncoding RV association detection framework, STAARpipeline, to automatically annotate a whole-genome sequencing study and perform flexible noncoding RV association analysis, including gene-centric analysis and fixed window-based and dynamic window-based non-gene-centric analysis by incorporating variant functional annotations. In gene-centric analysis, STAARpipeline uses STAAR to group noncoding variants based on functional categories of genes and incorporate …

Top-Ld: A Tool To Explore Linkage Disequilibrium With Topmed Whole-Genome Sequence Data, Le Huang, Jonathan D Rosen, Quan Sun, Jiawen Chen, Marsha M Wheeler, Ying Zhou, Yuan-I Min, Charles Kooperberg, Matthew P Conomos, Adrienne M Stilp, Stephen S Rich, Jerome I Rotter, Ani Manichaikul, Ruth J F Loos, Eimear E Kenny, Thomas W Blackwell, Albert V Smith, Goo Jun, Fritz J Sedlazeck, Ginger Metcalf, Eric Boerwinkle, Laura M Raffield, Alex P Reiner, Paul L Auer, Yun Li

Faculty, Staff and Student Publications

Current publicly available tools that allow rapid exploration of linkage disequilibrium (LD) between markers (e.g., HaploReg and LDlink) are based on whole-genome sequence (WGS) data from 2,504 individuals in the 1000 Genomes Project. Here, we present toP-LD, an online tool to explore LD inferred with high-coverage (∼30×) WGS data from 15,578 individuals in the NHLBI Trans-Omics for Precision Medicine (TOPMed) program. toP-LD provides a significant upgrade compared to current LD tools, as the toPMed WGS data provide a more comprehensive representation of genetic variation than the 1000 Genomes data, particularly for rare variants and in the specific populations that we …

Genome-Wide Association Study Of Serum Metabolites In The African American Study Of Kidney Disease And Hypertension, Shengyuan Luo, Elena V Feofanova, Adrienne Tin, Sarah Tung, Eugene P Rhee, Josef Coresh, Dan E Arking, Aditya Surapaneni, Pascal Schlosser, Yong Li, Anna Köttgen, Bing Yu, Morgan E Grams

Faculty, Staff and Student Publications

The genome-wide association study (GWAS) is a powerful means to study genetic determinants of disease traits and generate insights into disease pathophysiology. to date, few GWAS of circulating metabolite levels have been performed in African Americans with chronic kidney disease. Hypothesizing that novel genetic-metabolite associations may be identified in a unique population of African Americans with a lower glomerular filtration rate (GFR), we conducted a GWAS of 652 serum metabolites in 619 participants (mean measured glomerular filtration rate 45 mL/min/1.73m

Genome-Wide Meta-Analysis Of Muscle Weakness Identifies 15 Susceptibility Loci In Older Men And Women, Garan Jones, Katerina Trajanoska, Adam J Santanasto, Najada Stringa, Chia-Ling Kuo, Janice L Atkins, Joshua R Lewis, Thuyvy Duong, Shengjun Hong, Mary L Biggs, Jian'an Luan, Chloe Sarnowski, Kathryn L Lunetta, Toshiko Tanaka, Mary K Wojczynski, Ryan Cvejkus, Maria Nethander, Sahar Ghasemi, Jingyun Yang, M Carola Zillikens, Stefan Walter, Kamil Sicinski, Erika Kague, Cheryl L Ackert-Bicknell, Dan E Arking, B Gwen Windham, Eric Boerwinkle, Megan L Grove, Misa Graff, Dominik Spira, Ilja Demuth, Nathalie Van Der Velde, Lisette C P G M De Groot, Bruce M Psaty, Michelle C Odden, Alison E Fohner, Claudia Langenberg, Nicholas J Wareham, Stefania Bandinelli, Natasja M Van Schoor, Martijn Huisman, Qihua Tan, Joseph Zmuda, Dan Mellström, Magnus Karlsson, David A Bennett, Aron S Buchman, Philip L De Jager, Andre G Uitterlinden, Uwe Völker, Thomas Kocher, Alexander Teumer, Leocadio Rodriguéz-Mañas, Francisco J García, José A Carnicero, Pamela Herd, Lars Bertram, Claes Ohlsson, Joanne M Murabito, David Melzer, George A Kuchel, Luigi Ferrucci, David Karasik, Fernando Rivadeneira, Douglas P Kiel, Luke C Pilling

Faculty, Staff and Student Publications

Low muscle strength is an important heritable indicator of poor health linked to morbidity and mortality in older people. In a genome-wide association study meta-analysis of 256,523 Europeans aged 60 years and over from 22 cohorts we identify 15 loci associated with muscle weakness (European Working Group on Sarcopenia in Older People definition: n = 48,596 cases, 18.9% of total), including 12 loci not implicated in previous analyses of continuous measures of grip strength. Loci include genes reportedly involved in autoimmune disease (HLA-DQA1 p = 4 × 10

A Genome-Wide Association Study Discovers 46 Loci Of The Human Metabolome In The Hispanic Community Health Study/Study Of Latinos, Elena V Feofanova, Han Chen, Yulin Dai, Peilin Jia, Megan L Grove, Alanna C Morrison, Qibin Qi, Martha Daviglus, Jianwen Cai, Kari E North, Cathy C Laurie, Robert C Kaplan, Eric Boerwinkle, Bing Yu

Faculty, Staff and Student Publications

Variation in levels of the human metabolome reflect changes in homeostasis, providing a window into health and disease. The genetic impact on circulating metabolites in Hispanics, a population with high cardiometabolic disease burden, is largely unknown. We conducted genome-wide association analyses on 640 circulating metabolites in 3,926 Hispanic Community Health Study/Study of Latinos participants. The estimated heritability for 640 metabolites ranged between 0%-54% with a median at 2.5%. We discovered 46 variant-metabolite pairs (p value < 1.2 × 10

Unraveling The Functional Role Of The Orphan Solute Carrier, Slc22a24 In The Transport Of Steroid Conjugates Through Metabolomic And Genome-Wide Association Studies, Sook Wah Yee, Adrian Stecula, Huan-Chieh Chien, Ling Zou, Elena V Feofanova, Marjolein Van Borselen, Kit Wun Kathy Cheung, Noha A Yousri, Karsten Suhre, Jason M Kinchen, Eric Boerwinkle, Roshanak Irannejad, Bing Yu, Kathleen M Giacomini

Faculty, Staff and Student Publications

Variation in steroid hormone levels has wide implications for health and disease. The genes encoding the proteins involved in steroid disposition represent key determinants of interindividual variation in steroid levels and ultimately, their effects. Beginning with metabolomic data from genome-wide association studies (GWAS), we observed that genetic variants in the orphan transporter, SLC22A24 were significantly associated with levels of androsterone glucuronide and etiocholanolone glucuronide (sentinel SNPs p-value