High Expression of an Unknown Long Noncoding RNA RP11-290L1.3 from GDM Macrosomia and Its Effect on Preadipocyte Differentiation
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Plenary and Platform Abstracts
American Society of Human Genetics 68th Annual Meeting PLENARY AND PLATFORM ABSTRACTS Abstract #'s Tuesday, October 16, 5:30-6:50 pm: 4. Featured Plenary Abstract Session I Hall C #1-#4 Wednesday, October 17, 9:00-10:00 am, Concurrent Platform Session A: 6. Variant Insights from Large Population Datasets Ballroom 20A #5-#8 7. GWAS in Combined Cancer Phenotypes Ballroom 20BC #9-#12 8. Genome-wide Epigenomics and Non-coding Variants Ballroom 20D #13-#16 9. Clonal Mosaicism in Cancer, Alzheimer's Disease, and Healthy Room 6A #17-#20 Tissue 10. Genetics of Behavioral Traits and Diseases Room 6B #21-#24 11. New Frontiers in Computational Genomics Room 6C #25-#28 12. Bone and Muscle: Identifying Causal Genes Room 6D #29-#32 13. Precision Medicine Initiatives: Outcomes and Lessons Learned Room 6E #33-#36 14. Environmental Exposures in Human Traits Room 6F #37-#40 Wednesday, October 17, 4:15-5:45 pm, Concurrent Platform Session B: 24. Variant Interpretation Practices and Resources Ballroom 20A #41-#46 25. Integrated Variant Analysis in Cancer Genomics Ballroom 20BC #47-#52 26. Gene Discovery and Functional Models of Neurological Disorders Ballroom 20D #53-#58 27. Whole Exome and Whole Genome Associations Room 6A #59-#64 28. Sequencing-based Diagnostics for Newborns and Infants Room 6B #65-#70 29. Omics Studies in Alzheimer's Disease Room 6C #71-#76 30. Cardiac, Valvular, and Vascular Disorders Room 6D #77-#82 31. Natural Selection and Human Phenotypes Room 6E #83-#88 32. Genetics of Cardiometabolic Traits Room 6F #89-#94 Wednesday, October 17, 6:00-7:00 pm, Concurrent Platform Session C: 33. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Whole Exome Sequencing in Families at High Risk for Hodgkin Lymphoma: Identification of a Predisposing Mutation in the KDR Gene
Hodgkin Lymphoma SUPPLEMENTARY APPENDIX Whole exome sequencing in families at high risk for Hodgkin lymphoma: identification of a predisposing mutation in the KDR gene Melissa Rotunno, 1 Mary L. McMaster, 1 Joseph Boland, 2 Sara Bass, 2 Xijun Zhang, 2 Laurie Burdett, 2 Belynda Hicks, 2 Sarangan Ravichandran, 3 Brian T. Luke, 3 Meredith Yeager, 2 Laura Fontaine, 4 Paula L. Hyland, 1 Alisa M. Goldstein, 1 NCI DCEG Cancer Sequencing Working Group, NCI DCEG Cancer Genomics Research Laboratory, Stephen J. Chanock, 5 Neil E. Caporaso, 1 Margaret A. Tucker, 6 and Lynn R. Goldin 1 1Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 2Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 3Ad - vanced Biomedical Computing Center, Leidos Biomedical Research Inc.; Frederick National Laboratory for Cancer Research, Frederick, MD; 4Westat, Inc., Rockville MD; 5Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; and 6Human Genetics Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA ©2016 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol.2015.135475 Received: August 19, 2015. Accepted: January 7, 2016. Pre-published: June 13, 2016. Correspondence: [email protected] Supplemental Author Information: NCI DCEG Cancer Sequencing Working Group: Mark H. Greene, Allan Hildesheim, Nan Hu, Maria Theresa Landi, Jennifer Loud, Phuong Mai, Lisa Mirabello, Lindsay Morton, Dilys Parry, Anand Pathak, Douglas R. Stewart, Philip R. Taylor, Geoffrey S. Tobias, Xiaohong R. Yang, Guoqin Yu NCI DCEG Cancer Genomics Research Laboratory: Salma Chowdhury, Michael Cullen, Casey Dagnall, Herbert Higson, Amy A. -
WO 2017/214553 Al 14 December 2017 (14.12.2017) W !P O PCT
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (10) International Publication Number (43) International Publication Date WO 2017/214553 Al 14 December 2017 (14.12.2017) W !P O PCT (51) International Patent Classification: AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, C12N 15/11 (2006.01) C12N 15/113 (2010.01) CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, (21) International Application Number: HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, PCT/US20 17/036829 KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, (22) International Filing Date: MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, 09 June 2017 (09.06.2017) OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY,TH, TJ, TM, TN, (25) Filing Language: English TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. (26) Publication Language: English (84) Designated States (unless otherwise indicated, for every (30) Priority Data: kind of regional protection available): ARIPO (BW, GH, 62/347,737 09 June 2016 (09.06.2016) US GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, 62/408,639 14 October 2016 (14.10.2016) US UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, TJ, 62/433,770 13 December 2016 (13.12.2016) US TM), European (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, (71) Applicant: THE GENERAL HOSPITAL CORPO¬ MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, RATION [US/US]; 55 Fruit Street, Boston, Massachusetts TR), OAPI (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, 021 14 (US). -
Integrative Clinical Sequencing in the Management of Refractory Or
Supplementary Online Content Mody RJ, Wu Y-M, Lonigro RJ, et al. Integrative Clinical Sequencing in the Management of Children and Young Adults With Refractory or Relapsed CancerJAMA. doi:10.1001/jama.2015.10080. eAppendix. Supplementary appendix This supplementary material has been provided by the authors to give readers additional information about their work. © 2015 American Medical Association. All rights reserved. Downloaded From: https://jamanetwork.com/ on 09/29/2021 SUPPLEMENTARY APPENDIX Use of Integrative Clinical Sequencing in the Management of Pediatric Cancer Patients *#Rajen J. Mody, M.B.B.S, M.S., *Yi-Mi Wu, Ph.D., Robert J. Lonigro, M.S., Xuhong Cao, M.S., Sameek Roychowdhury, M.D., Ph.D., Pankaj Vats, M.S., Kevin M. Frank, M.S., John R. Prensner, M.D., Ph.D., Irfan Asangani, Ph.D., Nallasivam Palanisamy Ph.D. , Raja M. Rabah, M.D., Jonathan R. Dillman, M.D., Laxmi Priya Kunju, M.D., Jessica Everett, M.S., Victoria M. Raymond, M.S., Yu Ning, M.S., Fengyun Su, Ph.D., Rui Wang, M.S., Elena M. Stoffel, M.D., Jeffrey W. Innis, M.D., Ph.D., J. Scott Roberts, Ph.D., Patricia L. Robertson, M.D., Gregory Yanik, M.D., Aghiad Chamdin, M.D., James A. Connelly, M.D., Sung Choi, M.D., Andrew C. Harris, M.D., Carrie Kitko, M.D., Rama Jasty Rao, M.D., John E. Levine, M.D., Valerie P. Castle, M.D., Raymond J. Hutchinson, M.D., Moshe Talpaz, M.D., ^Dan R. Robinson, Ph.D., and ^#Arul M. Chinnaiyan, M.D., Ph.D. CORRESPONDING AUTHOR (S): # Arul M. -
Application of Microrna Database Mining in Biomarker Discovery and Identification of Therapeutic Targets for Complex Disease
Article Application of microRNA Database Mining in Biomarker Discovery and Identification of Therapeutic Targets for Complex Disease Jennifer L. Major, Rushita A. Bagchi * and Julie Pires da Silva * Department of Medicine, Division of Cardiology, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA; [email protected] * Correspondence: [email protected] (R.A.B.); [email protected] (J.P.d.S.) Supplementary Tables Methods Protoc. 2021, 4, 5. https://doi.org/10.3390/mps4010005 www.mdpi.com/journal/mps Methods Protoc. 2021, 4, 5. https://doi.org/10.3390/mps4010005 2 of 25 Table 1. List of all hsa-miRs identified by Human microRNA Disease Database (HMDD; v3.2) analysis. hsa-miRs were identified using the term “genetics” and “circulating” as input in HMDD. Targets CAD hsa-miR-1 Targets IR injury hsa-miR-423 Targets Obesity hsa-miR-499 hsa-miR-146a Circulating Obesity Genetics CAD hsa-miR-423 hsa-miR-146a Circulating CAD hsa-miR-149 hsa-miR-499 Circulating IR Injury hsa-miR-146a Circulating Obesity hsa-miR-122 Genetics Stroke Circulating CAD hsa-miR-122 Circulating Stroke hsa-miR-122 Genetics Obesity Circulating Stroke hsa-miR-26b hsa-miR-17 hsa-miR-223 Targets CAD hsa-miR-340 hsa-miR-34a hsa-miR-92a hsa-miR-126 Circulating Obesity Targets IR injury hsa-miR-21 hsa-miR-423 hsa-miR-126 hsa-miR-143 Targets Obesity hsa-miR-21 hsa-miR-223 hsa-miR-34a hsa-miR-17 Targets CAD hsa-miR-223 hsa-miR-92a hsa-miR-126 Targets IR injury hsa-miR-155 hsa-miR-21 Circulating CAD hsa-miR-126 hsa-miR-145 hsa-miR-21 Targets Obesity hsa-mir-223 hsa-mir-499 hsa-mir-574 Targets IR injury hsa-mir-21 Circulating IR injury Targets Obesity hsa-mir-21 Targets CAD hsa-mir-22 hsa-mir-133a Targets IR injury hsa-mir-155 hsa-mir-21 Circulating Stroke hsa-mir-145 hsa-mir-146b Targets Obesity hsa-mir-21 hsa-mir-29b Methods Protoc. -
Genome-Wide Association Study of Problematic Opioid Prescription Use in 132,113 23Andme Research Participants of European Ancestry
medRxiv preprint doi: https://doi.org/10.1101/2021.06.03.21258260; this version posted June 3, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license . Genome-wide association study of problematic opioid prescription use in 132,113 23andMe research participants of European ancestry Sandra Sanchez-Roige1-2*, Pierre Fontanillas3, Mariela V Jennings1, Sevim Bianchi1, Yuye Huang1, Alex Hatoum4, Julia Sealock2, Sarah L Elson3, 23andMe Research Team3, Abraham A Palmer1,7* 1Department of Psychiatry, University of California San Diego; 2Department of Medicine, Division of Genetic Medicine, Vanderbilt University; 323andMe, Inc., Sunnyvale, CA, USA. A full list of members and affiliations appears at the end of the paper; 4 Department of Psychiatry Washington University School of Medicine, St. Louis, MO, USA; 7Institute for Genomic Medicine, University of California San Diego * Co-corresponding Authors: Sandra Sanchez-Roige, [email protected], Abraham A. Palmer, [email protected] NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice. medRxiv preprint doi: https://doi.org/10.1101/2021.06.03.21258260; this version posted June 3, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license . -
Retinoid Regulation of Antiviral Innate Immunity in Hepatocytes Noell E
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln U.S. Department of Veterans Affairs Staff U.S. Department of Veterans Affairs Publications 2016 Retinoid Regulation of Antiviral Innate Immunity in Hepatocytes Noell E. Cho University of Southern California Bo-Ram Bang University of Southern California Purnima Gurung University of Southern California Meng Li University of Southern California Dahn L. Clemens University of Nebraska Medical Center, [email protected] See next page for additional authors Follow this and additional works at: http://digitalcommons.unl.edu/veterans Cho, Noell E.; Bang, Bo-Ram; Gurung, Purnima; Li, Meng; Clemens, Dahn L.; Underhill, T. Michael; James, Laura P.; Chase, Jenifer R.; and Saito, Takeshi, "Retinoid Regulation of Antiviral Innate Immunity in Hepatocytes" (2016). U.S. Department of Veterans Affairs Staff Publications. 114. http://digitalcommons.unl.edu/veterans/114 This Article is brought to you for free and open access by the U.S. Department of Veterans Affairs at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in U.S. Department of Veterans Affairs Staff ubP lications by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. Authors Noell E. Cho, Bo-Ram Bang, Purnima Gurung, Meng Li, Dahn L. Clemens, T. Michael Underhill, Laura P. James, Jenifer R. Chase, and Takeshi Saito This article is available at DigitalCommons@University of Nebraska - Lincoln: http://digitalcommons.unl.edu/veterans/114 AMERICAN ASSOCIATION FOR THE STUDY OFLIVERD I S E ASES HEPATOLOGY, VOL. 63, NO. 6, 2016 Retinoid Regulation of Antiviral Innate Immunity in Hepatocytes Noell E. Cho,1 Bo-Ram Bang,1 Purnima Gurung,1 Meng Li,3 Dahn L. -
Human Leucine-Rich Repeat Proteins: a Genome-Wide Bioinformatic Categorization and Functional Analysis in Innate Immunity
Human leucine-rich repeat proteins: a genome-wide bioinformatic categorization and functional analysis in innate immunity Aylwin C. Y. Nga,b,1, Jason M. Eisenberga,b,1, Robert J. W. Heatha, Alan Huetta, Cory M. Robinsonc, Gerard J. Nauc, and Ramnik J. Xaviera,b,2 aCenter for Computational and Integrative Biology, and Gastrointestinal Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114; bThe Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142; and cMicrobiology and Molecular Genetics, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261 Edited by Jeffrey I. Gordon, Washington University School of Medicine, St. Louis, MO, and approved June 11, 2010 (received for review February 17, 2010) In innate immune sensing, the detection of pathogen-associated proteins have been implicated in human diseases to date, notably molecular patterns by recognition receptors typically involve polymorphisms in NOD2 in Crohn disease (8, 9), CIITA in leucine-rich repeats (LRRs). We provide a categorization of 375 rheumatoid arthritis and multiple sclerosis (10), and TLR5 in human LRR-containing proteins, almost half of which lack other Legionnaire disease (11). identifiable functional domains. We clustered human LRR proteins Most LRR domains consist of a chain of between 2 and 45 by first assigning LRRs to LRR classes and then grouping the proteins LRRs (12). Each repeat in turn is typically 20 to 30 residues long based on these class assignments, revealing several of the resulting and can be divided into a highly conserved segment (HCS) fol- protein groups containing a large number of proteins with certain lowed by a variable segment (VS). -
Defects in Gnrh Neuron Migration/Development and Hypothalamic-Pituitary Signaling Impact Clinical Variability of Kallmann Syndrome
G C A T T A C G G C A T genes Article Defects in GnRH Neuron Migration/Development and Hypothalamic-Pituitary Signaling Impact Clinical Variability of Kallmann Syndrome Małgorzata Kałuzna˙ 1,† , Bartłomiej Budny 1,*,† , Michał Rabijewski 2, Jarosław Kałuzny˙ 3, Agnieszka Dubiel 4, Małgorzata Trofimiuk-Müldner 4, Elzbieta˙ Wrotkowska 1, Alicja Hubalewska-Dydejczyk 4, Marek Ruchała 1 and Katarzyna Ziemnicka 1 1 Department of Endocrinology Metabolism and Internal Medicine, Poznan University of Medical Sciences, 61-701 Poznan, Poland; [email protected] (M.K.); [email protected] (E.W.); [email protected] (M.R.); [email protected] (K.Z.) 2 Department of Reproductive Health, Centre of Postgraduate Medical Education, 01-813 Warsaw, Poland; [email protected] 3 Department of Otolaryngology Head and Neck Surgery, Poznan University of Medical Sciences, 61-701 Poznan, Poland; [email protected] 4 Chair and Department of Endocrinology, Jagiellonian University Medical College Krakow, 30-688 Krakow, Poland; [email protected] (A.D.); malgorzata.trofi[email protected] (M.T.-M.); [email protected] (A.H.-D.) * Correspondence: [email protected] † These authors contributed equally to this work. Citation: Kałuzna,˙ M.; Budny, B.; Rabijewski, M.; Kałuzny,˙ J.; Dubiel, A.; Abstract: Kallmann syndrome (KS) is a combination of isolated hypogonadotropic hypogonadism Trofimiuk-Müldner, M.; Wrotkowska, (IHH) with olfactory dysfunction, representing a heterogeneous disorder with a broad phenotypic E.; Hubalewska-Dydejczyk, A.; spectrum. The genetic background of KS has not yet been fully established. This study was conducted Ruchała, M.; Ziemnicka, K. Defects in on 46 Polish KS subjects (41 males, 5 females; average age: 29 years old). -
Discovery and Prioritization of Somatic Mutations in Diffuse Large B-Cell Lymphoma (DLBCL) by Whole-Exome Sequencing
Discovery and prioritization of somatic mutations in diffuse large B-cell lymphoma (DLBCL) by whole-exome sequencing Jens G. Lohra,b, Petar Stojanova,b, Michael S. Lawrencea, Daniel Auclaira, Bjoern Chapuyb, Carrie Sougneza, Peter Cruz-Gordilloa, Birgit Knoechela,b,c, Yan W. Asmannd, Susan L. Slagerd, Anne J. Novakd, Ahmet Dogand, Stephen M. Anselld, Brian K. Linke, Lihua Zoua, Joshua Goulda, Gordon Saksenaa, Nicolas Stranskya, Claudia Rangel-Escareñof, Juan Carlos Fernandez-Lopezf, Alfredo Hidalgo-Mirandaf, Jorge Melendez-Zajglaf, Enrique Hernández-Lemusf, Angela Schwarz-Cruz y Celisf, Ivan Imaz-Rosshandlerf, Akinyemi I. Ojesinaa, Joonil Junga, Chandra S. Pedamallua, Eric S. Landera,g,h,1, Thomas M. Habermannd, James R. Cerhand, Margaret A. Shippb, Gad Getza, and Todd R. Goluba,b,g,i aEli and Edythe Broad Institute, Cambridge, MA 02412; bDana–Farber Cancer Institute, Boston, MA 02115; dMayo Clinic College of Medicine, Rochester, MN 55902; cChildren’s Hospital Boston, Boston, MA 02115; eUniversity of Iowa College of Medicine, Iowa City, IA 52245; fInstituto Nacional de Medicina Genómica, 14610 Mexico DF, Mexico; gHarvard Medical School, Boston, MA 02115; hMassachusetts Institute of Technology, Cambridge, MA 02142; and iHoward Hughes Medical Institute, Chevy Chase, MD 20815 Contributed by Eric S. Lander, December 29, 2011 (sent for review November 22, 2011) To gain insight into the genomic basis of diffuse large B-cell somatic mutations in oncogenes and tumor-suppressor genes in lymphoma (DLBCL), we performed massively parallel whole-exome B lymphocytes. sequencing of 55 primary tumor samples from patients with DLBCL Traditionally, DLBCL has been classified by the morphology and matched normal tissue. We identified recurrent mutations in and immunophenotype of the malignant B-cells but more re- cently, molecular classifications have been reported. -
Genome-Wide Association Study of Problematic Opioid Prescription Use in 132,113 23Andme Research Participants of European Ancestry
medRxiv preprint doi: https://doi.org/10.1101/2021.06.03.21258260; this version posted August 26, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license . Genome-wide association study of problematic opioid prescription use in 132,113 23andMe research participants of European ancestry Sandra Sanchez-Roige1-2*, Pierre Fontanillas3, Mariela V Jennings1, Sevim Bianchi1, Yuye Huang1, Alex Hatoum4, Julia Sealock2, Lea K Davis2,5,6, Sarah L Elson3, 23andMe Research Team3, Abraham A Palmer1,7* 1Department of Psychiatry, University of California San Diego; 2Department of Medicine, Division of Genetic Medicine, Vanderbilt University; 323andMe, Inc., Sunnyvale, CA, USA. A full list of members and affiliations appears at the end of the paper; 4 Department of Psychiatry Washington University School of Medicine, St. Louis, MO, USA; 5 Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA; 6 Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA; 7Institute for Genomic Medicine, University of California San Diego * Co-corresponding Authors: Sandra Sanchez-Roige, [email protected], Abraham A. Palmer, [email protected] NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice. medRxiv preprint doi: https://doi.org/10.1101/2021.06.03.21258260; this version posted August 26, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.