Life Sciences Commons^™

Key Variants Via The Alzheimer's Disease Sequencing Project Whole Genome Sequence Data, Yanbing Wang, Chloé Sarnowski, Honghuang Lin, Achilleas N Pitsillides, Nancy L Heard-Costa, Seung Hoan Choi, Dongyu Wang, Joshua C Bis, Elizabeth E Blue, Eric Boerwinkle, Philip L De Jager, Myriam Fornage, Ellen M Wijsman, Sudha Seshadri, Josée Dupuis, Gina M Peloso, Anita L Destefano

Journal Articles

INTRODUCTION: Genome-wide association studies (GWAS) have identified loci associated with Alzheimer's disease (AD) but did not identify specific causal genes or variants within those loci. Analysis of whole genome sequence (WGS) data, which interrogates the entire genome and captures rare variations, may identify causal variants within GWAS loci.

METHODS: We performed single common variant association analysis and rare variant aggregate analyses in the pooled population (N cases = 2184, N controls = 2383) and targeted analyses in subpopulations using WGS data from the Alzheimer's Disease Sequencing Project (ADSP). The analyses were restricted to variants within 100 kb of 83 previously …

An Approach To Identify Gene-Environment Interactions And Reveal New Biological Insight In Complex Traits, Xiaofeng Zhu, Yihe Yang, Noah Lorincz-Comi, Gen Li, Amy R Bentley, Paul S De Vries, Michael Brown, Alanna C Morrison, Charles N Rotimi, W James Gauderman, Dabeeru C Rao, Hugues Aschard

Journal Articles

There is a long-standing debate about the magnitude of the contribution of gene-environment interactions to phenotypic variations of complex traits owing to the low statistical power and few reported interactions to date. to address this issue, the Gene-Lifestyle Interactions Working Group within the Cohorts for Heart and Aging Research in Genetic Epidemiology Consortium has been spearheading efforts to investigate G × E in large and diverse samples through meta-analysis. Here, we present a powerful new approach to screen for interactions across the genome, an approach that shares substantial similarity to the Mendelian randomization framework. We identify and confirm 5 loci …

Chromosome 10q2432 Variants Associate With Brain Arterial Diameters In Diverse Populations: A Genome-Wide Association Study, Minghua Liu, Farid Khasiyev, Sanjeev Sariya, Antonio Spagnolo-Allende, Danurys L Sanchez, Howard Andrews, Qiong Yang, Alexa Beiser, Ye Qiao, Emy A Thomas, Jose Rafael Romero, Tatjana Rundek, Adam M Brickman, Jennifer J Manly, Mitchell Sv Elkind, Sudha Seshadri, Christopher Chen, Saima Hilal, Bruce A Wasserman, Giuseppe Tosto, Myriam Fornage, Jose Gutierrez

Journal Articles

BACKGROUND: Brain arterial diameters (BADs) are novel imaging biomarkers of cerebrovascular disease, cognitive decline, and dementia. Traditional vascular risk factors have been associated with BADs, but whether there may be genetic determinants of BADs is unknown.

METHODS AND RESULTS: The authors studied 4150 participants from 6 geographically diverse population-based cohorts (40% European, 14% African, 22% Hispanic, 24% Asian ancestries). Brain arterial diameters for 13 segments were measured and averaged to obtain a global measure of BADs as well as the posterior and anterior circulations. A genome-wide association study revealed 14 variants at one locus associated with global BAD at genome-wide …

Estimating Heritability Explained By Local Ancestry And Evaluating Stratification Bias In Admixture Mapping From Summary Statistics, Tsz Fung Chan, Xinyue Rui, David V Conti, Myriam Fornage, Mariaelisa Graff, Jeffrey Haessler, Christopher Haiman, Heather M Highland, Su Yon Jung, Eimear E Kenny, Charles Kooperberg, Loic Le Marchand, Kari E North, Ran Tao, Genevieve Wojcik, Christopher R Gignoux, Charleston W K Chiang, Nicholas Mancuso

Journal Articles

The heritability explained by local ancestry markers in an admixed population (h

Research Note: Association Of Single Nucleotide Polymorphism Of Akt3 With Egg Production Traits In White Muscovy Ducks (Cairina Moschata)., Semiu Folaniyi Bello, Haiping Xu, Kan Li, Lijin Guo, Siyu Zhang, Ridwan Olawale Ahmed, Endashaw Jebessa Bekele, Ming Zheng, Mingjian Xian, Bahareldin Ali Abdalla, Adeniyi Charles Adeola, Adeyinka Abiola Adetula, Raman Akinyanju Lawal, Weijian Zhu, Dexiang Zhang, Xiquan Zhang, Congliang Ji, Qinghua Nie

Faculty Research 2022

Prior studies on transcriptomes of hypothalamus and ovary revealed that AKT3 is one of the candidate genes that might affect egg production in White Muscovy ducks. The role of AKT3 in the uterus during reproductive processes cannot be overemphasized. However, functional role of this gene in the tissues and on egg production traits of Muscovy ducks remains unknown. To identify the relationship between AKT3 and egg production traits in ducks, relative expression profile was first examined prior to identifying the variants within AKT3 that may underscore egg production traits [age at first egg (AFE), number of eggs at 300 d …

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

Journal Articles

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 …

Adding Gene Transcripts Into Genomic Prediction Improves Accuracy And Reveals Sampling Time Dependence., Bruno C Perez, Marco C A M Bink, Karen L. Svenson, Gary Churchill, Mario P L Calus

Faculty Research 2022

Recent developments allowed generating multiple high-quality 'omics' data that could increase the predictive performance of genomic prediction for phenotypes and genetic merit in animals and plants. Here, we have assessed the performance of parametric and nonparametric models that leverage transcriptomics in genomic prediction for 13 complex traits recorded in 478 animals from an outbred mouse population. Parametric models were implemented using the best linear unbiased prediction, while nonparametric models were implemented using the gradient boosting machine algorithm. We also propose a new model named GTCBLUP that aims to remove between-omics-layer covariance from predictors, whereas its counterpart GTBLUP does not do …

Leveraging Family History In Genetic Association Analyses Of Binary Traits, Yixin Zhang, James B Meigs, Ching-Ti Liu, Josée Dupuis, Chloé Sarnowski

Journal Articles

BACKGROUND: Considering relatives' health history in logistic regression for case-control genome-wide association studies (CC-GWAS) may provide new information that increases accuracy and power to detect disease associated genetic variants. We conducted simulations and analyzed type 2 diabetes (T2D) data from the Framingham Heart Study (FHS) to compare two methods, liability threshold model conditional on both case-control status and family history (LT-FH) and Fam-meta, which incorporate family history into CC-GWAS.

RESULTS: In our simulation scenario of trait with modest T2D heritability (h

CONCLUSIONS: Overall, LT-FH and Fam-meta had higher power than CC-GWAS in simulations, especially using phenotypes that were more prevalent …

A Genome-Wide Association Study Of Obstructive Heart Defects Among Participants In The National Birth Defects Prevention Study, Sara R Rashkin, Mario Cleves, Gary M Shaw, Wendy N Nembhard, Eirini Nestoridi, Mary M Jenkins, Paul A Romitti, Xiang-Yang Lou, Marilyn L Browne, Laura E Mitchell, Andrew F Olshan, Kevin Lomangino, Sudeepa Bhattacharyya, John S Witte, Charlotte A Hobbs

Journal Articles

Obstructive heart defects (OHDs) share common structural lesions in arteries and cardiac valves, accounting for ~25% of all congenital heart defects. OHDs are highly heritable, resulting from interplay among maternal exposures, genetic susceptibilities, and epigenetic phenomena. A genome-wide association study was conducted in National Birth Defects Prevention Study participants (N

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

Journal Articles

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 …

Association Study Between Mucin 4 (Muc4) Polymorphisms And Idiopathic Recurrent Pregnancy Loss In A Korean Population, Ji-Hyang Kim, Han-Sung Park, Jeong-Yong Lee, Eun-Ju Ko, Young-Ran Kim, Hee-Young Cho, Woo-Sik Lee, Eun-Hee Ahn, Nam-Keun Kim

Journal Articles

Recurrent pregnancy loss (RPL) is the loss of two or more consecutive pregnancies before 20 weeks of gestational age. Our study investigated whether mucin 4 (MUC4) polymorphisms are associated with RPL. MUC polymorphisms (rs882605 C>A, rs1104760 A>G, rs2688513 A>G, rs2258447 C>T, and rs2291652 A>G) were genotyped in 374 women with RPL and 239 controls of Korean ethnicity using polymerase chain reaction-restriction fragment length polymorphism analysis and the TaqMan probe SNP genotyping assay. Differences in genotype frequencies between cases of RPL and the controls were compared. MUC4 rs882605 C>A and rs1104760 A>G polymorphisms were …

Rare Coding Variants In Rcn3 Are Associated With Blood Pressure, Karen Y. He, Tanika N. Kelly, Heming Wang, Jingjing Liang, Luke Zhu, Brian E. Cade, Themistocles L. Assimes, Lewis C. Becker, Amber L. Beitelshees, Lawrence F. Bielak, Adam P. Bress, Jennifer A. Brody, Yen-Pei Christy Chang, Yi-Cheng Chang, Paul S. De Vries, Ravindranath Duggirala, Ervin R. Fox, Nora Franceschini, Anna L. Furniss, Yan Gao, Donna K. Arnett

Epidemiology and Environmental Health Faculty Publications

BACKGROUND: While large genome-wide association studies have identified nearly one thousand loci associated with variation in blood pressure, rare variant identification is still a challenge. In family-based cohorts, genome-wide linkage scans have been successful in identifying rare genetic variants for blood pressure. This study aims to identify low frequency and rare genetic variants within previously reported linkage regions on chromosomes 1 and 19 in African American families from the Trans-Omics for Precision Medicine (TOPMed) program. Genetic association analyses weighted by linkage evidence were completed with whole genome sequencing data within and across TOPMed ancestral groups consisting of 60,388 individuals of …

Spatiotemporal Dynamics Of Clonal Selection And Diversification In Normal Endometrial Epithelium., Manako Yamaguchi, Hirofumi Nakaoka, Kazuaki Suda, Kosuke Yoshihara, Tatsuya Ishiguro, Nozomi Yachida, Kyota Saito, Haruka Ueda, Kentaro Sugino, Yutaro Mori, Kaoru Yamawaki, Ryo Tamura, Sundaramoorthy Revathidevi, Teiichi Motoyama, Kazuki Tainaka, Roel G W Verhaak, Ituro Inoue, Takayuki Enomoto

Faculty Research 2022

It has become evident that somatic mutations in cancer-associated genes accumulate in the normal endometrium, but spatiotemporal understanding of the evolution and expansion of mutant clones is limited. To elucidate the timing and mechanism of the clonal expansion of somatic mutations in cancer-associated genes in the normal endometrium, we sequence 1311 endometrial glands from 37 women. By collecting endometrial glands from different parts of the endometrium, we show that multiple glands with the same somatic mutations occupy substantial areas of the endometrium. We demonstrate that "rhizome structures", in which the basal glands run horizontally along the muscular layer and multiple …

Common Genetic Variants Contribute To Risk Of Transposition Of The Great Arteries., Doris Škorić-Milosavljević, Rafik Tadros, Fernanda M Bosada, Federico Tessadori, Jan Hendrik Van Weerd, Odilia I Woudstra, Fleur V Y Tjong, Najim Lahrouchi, Fanny Bajolle, Heather J Cordell, A J Agopian, Gillian M Blue, Daniela Q C M Barge-Schaapveld, Marc Gewillig, Christoph Preuss, Elisabeth M Lodder, Phil Barnett, Aho Ilgun, Leander Beekman, Karel Van Duijvenboden, Regina Bokenkamp, Martina Müller-Nurasyid, Hubert W Vliegen, Thelma C Konings, Joost P Van Melle, Arie P J Van Dijk, Roland R J Van Kimmenade, Jolien W Roos-Hesselink, Gertjan T Sieswerda, Folkert Meijboom, Hashim Abdul-Khaliq, Felix Berger, Sven Dittrich, Marc-Phillip Hitz, Julia Moosmann, Frank-Thomas Riede, Stephan Schubert, Pilar Galan, Mark Lathrop, Hans M Munter, Ammar Al-Chalabi, Christopher E Shaw, Pamela J Shaw, Karen E Morrison, Jan H Veldink, Leonard H Van Den Berg, Sylvia Evans, Marcelo A Nobrega, Ivy Aneas, Milena Radivojkov-Blagojević, Thomas Meitinger, Erwin Oechslin, Tapas Mondal, Lynn Bergin, John F Smythe, Luis Altamirano-Diaz, Jane Lougheed, Berto J Bouma, Marie-A Chaix, Jennie Kline, Anne S Bassett, Gregor Andelfinger, Roel L F Van Der Palen, Patrice Bouvagnet, Sally-Ann B Clur, Jeroen Breckpot, Wilhelmina S Kerstjens-Frederikse, David S Winlaw, Ulrike M M Bauer, Seema Mital, Elizabeth Goldmuntz, Bernard Keavney, Damien Bonnet, Barbara J Mulder, Michael W T Tanck, Jeroen Bakkers, Vincent M Christoffels, Cornelis J Boogerd, Alex V Postma, Connie R Bezzina

Faculty Research 2022

RATIONALE: Dextro-transposition of the great arteries (D-TGA) is a severe congenital heart defect which affects approximately 1 in 4,000 live births. While there are several reports of D-TGA patients with rare variants in individual genes, the majority of D-TGA cases remain genetically elusive. Familial recurrence patterns and the observation that most cases with D-TGA are sporadic suggest a polygenic inheritance for the disorder, yet this remains unexplored.

OBJECTIVE: We sought to study the role of common single nucleotide polymorphisms (SNPs) in risk for D-TGA.

METHODS AND RESULTS: We conducted a genome-wide association study in an international set of 1,237 patients …

Functional Characterization Of T2d-Associated Snp Effects On Baseline And Er Stress-Responsive Β Cell Transcriptional Activation., Shubham Khetan, Susan Kales, Romy Kursawe, Alexandria Jillette, Jacob C Ulirsch, Steven K Reilly, Duygu Ucar, Ryan Tewhey, Michael L. Stitzel

Faculty Research 2021

Genome-wide association studies (GWAS) have linked single nucleotide polymorphisms (SNPs) at >250 loci in the human genome to type 2 diabetes (T2D) risk. For each locus, identifying the functional variant(s) among multiple SNPs in high linkage disequilibrium is critical to understand molecular mechanisms underlying T2D genetic risk. Using massively parallel reporter assays (MPRA), we test the cis-regulatory effects of SNPs associated with T2D and altered in vivo islet chromatin accessibility in MIN6 β cells under steady state and pathophysiologic endoplasmic reticulum (ER) stress conditions. We identify 1,982/6,621 (29.9%) SNP-containing elements that activate transcription in MIN6 and 879 SNP alleles that …

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

Journal Articles

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

Journal Articles

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

Journal Articles

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

Genetic Variant Effects On Gene Expression In Human Pancreatic Islets And Their Implications For T2d., Ana Viñuela, Arushi Varshney, Martijn Van De Bunt, Rashmi B Prasad, Olof Asplund, Amanda Bennett, Michael Boehnke, Andrew A Brown, Michael R Erdos, João Fadista, Ola Hansson, Gad Hatem, Cédric Howald, Apoorva K Iyengar, Paul Johnson, Ulrika Krus, Patrick E Macdonald, Anubha Mahajan, Jocelyn E Manning Fox, Narisu Narisu, Vibe Nylander, Peter Orchard, Nikolay Oskolkov, Nikolaos I Panousis, Anthony Payne, Michael L. Stitzel, Swarooparani Vadlamudi, Ryan Welch, Francis S Collins, Karen L Mohlke, Anna L Gloyn, Laura J Scott, Emmanouil T Dermitzakis, Leif Groop, Stephen C J Parker, Mark I Mccarthy

Faculty Research 2020

Most signals detected by genome-wide association studies map to non-coding sequence and their tissue-specific effects influence transcriptional regulation. However, key tissues and cell-types required for functional inference are absent from large-scale resources. Here we explore the relationship between genetic variants influencing predisposition to type 2 diabetes (T2D) and related glycemic traits, and human pancreatic islet transcription using data from 420 donors. We find: (a) 7741 cis-eQTLs in islets with a replication rate across 44 GTEx tissues between 40% and 73%; (b) marked overlap between islet cis-eQTL signals and active regulatory sequences in islets, with reduced eQTL effect size observed in …

Facial Shape And Allometry Quantitative Trait Locus Intervals In The Diversity Outbred Mouse Are Enriched For Known Skeletal And Facial Development Genes., David C Katz, J David Aponte, Wei Liu, Rebecca M Green, Jessica M Mayeux, K Michael Pollard, Daniel Pomp, Steven C. Munger, Stephen A Murray, Charles C Roseman, Christopher J Percival, James Cheverud, Ralph S Marcucio, Benedikt Hallgrímsson

Faculty Research 2020

The biology of how faces are built and come to differ from one another is complex. Discovering normal variants that contribute to differences in facial morphology is one key to untangling this complexity, with important implications for medicine and evolutionary biology. This study maps quantitative trait loci (QTL) for skeletal facial shape using Diversity Outbred (DO) mice. The DO is a randomly outcrossed population with high heterozygosity that captures the allelic diversity of eight inbred mouse lines from three subspecies. The study uses a sample of 1147 DO animals (the largest sample yet employed for a shape QTL study in …

Evidence For Gene-Smoking Interactions For Hearing Loss And Deafness In Japanese American Families, Jia Y Wan, Christina Cataby, Andrew Liem, Emily Jeffrey, Trina M Norden-Krichmar, Deborah Goodman, Stephanie A Santorico, Karen L Edwards

Journal Articles

BACKGROUND: This study investigated the relationship between smoking and hearing loss and deafness (HLD) and whether the relationship is modified by genetic variation. Data for these analyses was from the subset of Japanese American families collected as part of the American Diabetes Association Genetics of Non-insulin Dependent Diabetes Mellitus study. Logistic regression with generalized estimating equations assessed the relationship between HLD and smoking. Nonparametric linkage analysis identified genetic regions harboring HLD susceptibility genes and ordered subset analysis was used to identify regions showing evidence for gene-smoking interactions. Genetic variants within these candidate regions were then each tested for interaction with …

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

Journal Articles

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

An Integrative Cross-Omics Analysis Of Dna Methylation Sites Of Glucose And Insulin Homeostasis, Jun Liu, Elena Carnero-Montoro, Jenny Van Dongen, Samantha Lent, Ivana Nedeljkovic, Symen Ligthart, Pei-Chien Tsai, Tiphaine C. Martin, Pooja R. Mandaviya, Rick Jansen, Marjolein J. Peters, Liesbeth Duijts, Vincent W. V. Jaddoe, Henning Tiemeier, Janine F. Felix, Gonneke Willemsen, Eco J. C. De Geus, Audrey Y. Chu, Daniel Levy, Shih-Jen Hwang, Jan Bressler, Rahul Gondalia, Elias L. Salfati, Christian Herder, Bertha A. Hidalgo, Toshiko Tanaka, Ann Zenobia Moore, Rozenn N. Lemaitre, Min A. Jhun, Jennifer A. Smith, Donna K. Arnett

Epidemiology and Environmental Health Faculty Publications

Despite existing reports on differential DNA methylation in type 2 diabetes (T2D) and obesity, our understanding of its functional relevance remains limited. Here we show the effect of differential methylation in the early phases of T2D pathology by a blood-based epigenome-wide association study of 4808 non-diabetic Europeans in the discovery phase and 11,750 individuals in the replication. We identify CpGs in LETM1, RBM20, IRS2, MAN2A2 and the 1q25.3 region associated with fasting insulin, and in FCRL6, SLAMF1, APOBEC3H and the 15q26.1 region with fasting glucose. In silico cross-omics analyses highlight the role of differential methylation …

Adgrl3 (Lphn3) Variants Predict Substance Use Disorder, Mauricio Arcos-Burgos, Jorge I. Vélez, Ariel F. Martinez, Marta Ribasés, Josep A. Ramos-Quiroga, Cristina Sánchez-Mora, Vanesa Richarte, Carlos Roncero, Bru Cormand, Noelia Fernández-Castillo, Miguel Casas, Francisco Lopera, David A. Pineda, Juan D. Palacio, Johan E. Acosta-López, Martha L. Cervantes-Henriquez, Manuel G. Sánchez-Rojas, Pedro J. Puentes-Rozo, Brooke S. G. Molina, Mta Cooperative Group, Margaret T. Boden, Deeann Wallis, Brett Lidbury, Saul Newman, Simon Easteal, James Swanson, Hardip Patel, Nora Volkow, Maria T. Acosta, Francisco X. Castellanos, Jose De Leon

Psychiatry Faculty Publications

Genetic factors are strongly implicated in the susceptibility to develop externalizing syndromes such as attention-deficit/hyperactivity disorder (ADHD), oppositional defiant disorder, conduct disorder, and substance use disorder (SUD). Variants in the ADGRL3 (LPHN3) gene predispose to ADHD and predict ADHD severity, disruptive behaviors comorbidity, long-term outcome, and response to treatment. In this study, we investigated whether variants within ADGRL3 are associated with SUD, a disorder that is frequently co-morbid with ADHD. Using family-based, case-control, and longitudinal samples from disparate regions of the world (n = 2698), recruited either for clinical, genetic epidemiological or pharmacogenomic studies of ADHD, we …

Identification Of Susceptibility Pathways For The Role Of Chromosome 15q25.1 In Modifying Lung Cancer Risk, Xuemei Ji, Yohan Bossé, Maria Teresa Landi, Jiang Gui, Xiangjun Xiao, David Qian, Philippe Joubert Joubert, Maxime Lamontagne, Yafang Li, Ivan Gorlov, Mariella De Biasi, Younghun Han, Olga Gorlova, Rayjean J. Hung, Xifeng Wu, James Mckay, Xuchen Zong, Robert Carreras-Torres, David C. Christiani, Neil Caporaso, Mattias Johansson, Geoffrey Liu, Stig E. Bojesen, Loic Le Marchand, Demetrios Albanes, Heike Bickeböller, Melinda C. Aldrich, William S. Bush, Adonina Tardon, Gad Rennert, Susanne M. Arnold

Markey Cancer Center Faculty Publications

Genome-wide association studies (GWAS) identified the chromosome 15q25.1 locus as a leading susceptibility region for lung cancer. However, the pathogenic pathways, through which susceptibility SNPs within chromosome 15q25.1 affects lung cancer risk, have not been explored. We analyzed three cohorts with GWAS data consisting 42,901 individuals and lung expression quantitative trait loci (eQTL) data on 409 individuals to identify and validate the underlying pathways and to investigate the combined effect of genes from the identified susceptibility pathways. The KEGG neuroactive ligand receptor interaction pathway, two Reactome pathways, and 22 Gene Ontology terms were identified and replicated to be significantly associated …

Genome-Wide Association Meta-Analysis Of Circulating Odd-Numbered Chain Saturated Fatty Acids: Results From The Charge Consortium, Marcia C. De Oliveira Otto, Rozenn N. Lemaitre, Qi Sun, Irena B. King, Jason H. Y. Wu, Ani Manichaikul, Stephen S. Rich, Michael Y. Tsai, Y. D. Chen, Myriam Fornage, Guan Weihua, Stella Aslibekyan, Marguerite R. Irvin, Edmond K. Kabagambe, Donna K. Arnett, Majken K. Jensen, Barbara Mcknight, Bruce M. Psaty, Lyn M. Steffen, Caren E. Smith, Ulf Risérus, Lars Lind, Frank B. Hu, Eric B. Rimm, David S. Siscovick, Dariush Mozaffarian

Epidemiology and Environmental Health Faculty Publications

Background

Odd-numbered chain saturated fatty acids (OCSFA) have been associated with potential health benefits. Although some OCSFA (e.g., C15:0 and C17:0) are found in meats and dairy products, sources and metabolism of C19:0 and C23:0 are relatively unknown, and the influence of non-dietary determinants, including genetic factors, on circulating levels of OCSFA is not established.

Objective

To elucidate the biological processes that influence circulating levels of OCSFA by investigating associations between genetic variation and OCSFA.

Design

We performed a meta-analysis of genome-wide association studies (GWAS) of plasma phospholipid/erythrocyte levels of C15:0, C17:0, C19:0, and C23:0 among 11,494 individuals of European …

Genome-Wide Interactions With Dairy Intake For Body Mass Index In Adults Of European Descent, Caren E. Smith, Jack L. Follis, Hassan S. Dashti, Toshiko Tanaka, Mariaelisa Graff, Amanda M. Fretts, Tuomas O. Kilpeläinen, Mary K. Wojczynski, Kris Richardson, Mike A. Nalls, Christina-Alexandra Schulz, Yongmei Liu, Alexis C. Frazier-Wood, Esther Van Eekelen, Carol Wang, Paul S. De Vries, Vera Mikkilä, Rebecca Rohde, Bruce M. Psaty, Torben Hansen, Mary F. Feitosa, Chao-Qiang Lai, Denise K. Houston, Luigi Ferruci, Ulrika Ericson, Zhe Wang, Renée De Mutsert, Wendy H. Oddy, Ester A. L. De Jonge, Ilkka Seppälä, Donna K. Arnett

Epidemiology and Environmental Health Faculty Publications

Scope: Body weight responds variably to the intake of dairy foods. Genetic variation may contribute to inter‐individual variability in associations between body weight and dairy consumption.

Methods and results: A genome‐wide interaction study to discover genetic variants that account for variation in BMI in the context of low‐fat, high‐fat and total dairy intake in cross‐sectional analysis was conducted. Data from nine discovery studies (up to 25 513 European descent individuals) were meta‐analyzed. Twenty‐six genetic variants reached the selected significance threshold (p‐interaction <10⁻⁷⁾, and six independent variants (LINC01512‐rs7751666, PALM2/AKAP2‐rs914359, ACTA2‐rs1388, PPP1R12A‐rs7961195, LINC00333‐rs9635058, …

Common Tdp1 Polymorphisms In Relation To Survival Among Small Cell Lung Cancer Patients: A Multicenter Study From The International Lung Cancer Consortium, Pawadee Lohavanichbutr, Lori C. Sakoda, Christopher I. Amos, Susanne M. Arnold, David C. Christiani, Michael P. A. Davies, John K. Field, Eric B. Haura, Rayjean J Hung, Takashi Kohno, Maria Teresa Landi, Geoffrey Liu, Yi Liu, Michael W. Marcus, Grainne M. O'Kane, Matthew B. Schabath, Kouya Shiraishi, Stacey A. Slone, Adonina Tardón, Ping Yang, Kazushi Yoshida, Ruyang Zhang, Xuchen Zong, Gary E. Goodman, Noel S. Weiss, Chu Chen

Internal Medicine Faculty Publications

Background—DNA topoisomerase inhibitors are commonly used for treating small-cell lung cancer (SCLC). Tyrosyl-DNA phosphodiesterase (TDP1) repairs DNA damage caused by this class of drugs and may therefore influence treatment outcome. In this study, we investigated whether common TDP1 single-nucleotide polymorphisms (SNP) are associated with overall survival among SCLC patients.

Methods—Two TDP1 SNPs (rs942190 and rs2401863) were analyzed in 890 patients from 10 studies in the International Lung Cancer Consortium (ILCCO). The Kaplan–Meier method and Cox regression analyses were used to evaluate genotype associations with overall mortality at 36 months postdiagnosis, adjusting for age, sex, race, and tumor stage. …

Linkage, Whole Genome Sequence, And Biological Data Implicate Variants In Rab10 In Alzheimer's Disease Resilience., Perry G Ridge, Celeste M Karch, Simon Hsu, Ivan Arano, Craig C Teerlink, Mark T W Ebbert, Josue D Gonzalez Murcia, James M Farnham, Anna R Damato, Mariet Allen, Xue Wang, Oscar Harari, Victoria M Fernandez, Rita Guerreiro, Jose Bras, John Hardy, Ronald Munger, Maria Norton, Celeste Sassi, Andrew Singleton, Steven G Younkin, Dennis W Dickson, Todd E Golde, Nathan D Price, Nilüfer Ertekin-Taner, Carlos Cruchaga, Alison M Goate, Christopher Corcoran, Joann Tschanz, Lisa A Cannon-Albright, John S K Kauwe

Articles, Abstracts, and Reports

BACKGROUND: While age and the APOE ε4 allele are major risk factors for Alzheimer's disease (AD), a small percentage of individuals with these risk factors exhibit AD resilience by living well beyond 75 years of age without any clinical symptoms of cognitive decline.

METHODS: We used over 200 "AD resilient" individuals and an innovative, pedigree-based approach to identify genetic variants that segregate with AD resilience. First, we performed linkage analyses in pedigrees with resilient individuals and a statistical excess of AD deaths. Second, we used whole genome sequences to identify candidate SNPs in significant linkage regions. Third, we replicated SNPs …

Systems Biology Approach To Late-Onset Alzheimer's Disease Genome-Wide Association Study Identifies Novel Candidate Genes Validated Using Brain Expression Data And Caenorhabditis Elegans Experiments, Shubhabrata Mukherjee, Joshua C. Russell, Daniel T. Carr, Jeremy D. Burgess, Mariet Allen, Daniel J. Serie, Kevin L. Boehme, John S. K. Kauwe, Adam C. Naj, David W. Fardo, Dennis W. Dickson, Thomas J. Montine, Nilufer Ertekin-Taner, Matt R. Kaeberlein, Paul K. Crane

Biostatistics Faculty Publications

Introduction—We sought to determine whether a systems biology approach may identify novel late-onset Alzheimer's disease (LOAD) loci.

Methods—We performed gene-wide association analyses and integrated results with human protein-protein interaction data using network analyses. We performed functional validation on novel genes using a transgenic Caenorhabditis elegans Aβ proteotoxicity model and evaluated novel genes using brain expression data from people with LOAD and other neurodegenerative conditions.

Results—We identified 13 novel candidate LOAD genes outside chromosome 19. Of those, RNA interference knockdowns of the C. elegans orthologs of UBC, NDUFS3, EGR1, and ATP5H were associated with Aβ …