Pradeep Natarajan, M.D, MMSc

Pradeep Natarajan, M.D, MMSc
Massachusetts General Hospital,
Broad Institute of Harvard and MIT
Boston, MA, USA
email: pradeep@broadinstitute.org

Gina Peloso, Ph.D

Gina Peloso, Ph.D
Department of Biostatistics,
Boston University
Boston, MA, USA
email: gpeloso@bu.edu

Consortium Participants

  • Children of 1997 Birth Cohort (97BC)
  • Africa Wits-INDEPTH Partnership for Genomic Research (AWI-Gen)
  • African Collaborative Center for Microbiome and Genomics Research (ACCME)
  • All of Us Cohort (AOU)
  • ASPirin in Reducing Events in the Elderly (ASPREE)
  • Atherosclerosis Risk in Communities Study (ARIC)
  • AugUR (AugUR)
  • AURORA: A study to evaluate the Use of Rosuvastatin in subjects On Regular haemodialysis: an Assessment of survival and cardiovascular events (NCT00240331) (AURORA)
  • Austrian Stroke Prevention Family Study (ASPSFam)
  • Austrian Stroke Prevention Study (ASPS)
  • Avon Longitudinal Study of Parents and Children (ALSPAC)
  • Beijing Eye Study (BES)
  • Biobank Japan (BBJ)
  • BioMe Biobank (BioMe)
  • Blue Mountains Eye Study (BMES)
  • British Genetics of Hypertension study (BRIGHT)
  • Cameron County Hispanic Cohort (CCHC)
  • Canadian Longitudinal Study on Aging (CLSA)
  • Cardiovascular Health Study (CHS)
  • Cebu Longitudinal Health and Nutrition Survey (CLHNS)
  • China Health and Nutrition Survey (CHNS)
  • China Kadoorie Biobank (CKB)
  • ChinaHEART Cohort (ChinaHEART)
  • Cilento Study (CILENTO)
  • Combined rosuvastatin trials (Combined-rosavastatin-trials)
  • Combined tesaglitazar trials (Combined-tesaglitazar-trials)
  • Cooperative Health Research in South Tyrol (CHRIS)
  • CORONA: Controlled Rosuvastatin Multinational Study in Heart Failure (CORONA)
  • CRONICAS (CRONICAS)
  • DanFunD (DANFUND)
  • deCODE_Iceland (DEC)
  • Diacore (Diacore)
  • Effective Anticoagulation with Factor Xa Next Generation in Atrial Fibrillation (ENGAGE)
  • Ely Study (Ely)
  • Epirus Health Study (EHS)
  • European Prospective Investigation into Cancer - Norfolk study (EPIC-Norfolk)
  • European Prospective Investigation into Cancer and Nutrittion Potsdam (EPIC-P)
  • Fenland Study (Fenland)
  • Finland-United States Investigation of NIDDM Genetics (FUSION)
  • Finnish Twin Cohort (FTC)
  • FINRISK 1992 (FR92)
  • FINRISK 1997 (FR97)
  • FINRISK 2012 (FR12)
  • Framingham Heart Study (FHS)
  • Further Cardiovascular Outcomes Research with PCSK9 Inhibition in Subjects with Elevated Risk (FOURIER)
  • Generation Scotland (GS)
  • GENERISK (GENERISK)
  • Genes & Health (GNH)
  • German Chronic Kidney Disease Study (GCKD)
  • German Heart Center Munich (GerMIFS)
  • Health06 (HEALTH06)
  • Health08 (HEALTH08)
  • Health10 (HEALTH10)
  • Healthy Aging in Neighboorhoods of Diversity across the Life Span (HANDLS)
  • Heinz Nixdorf Recall Study (HNR)
  • Hispanic Community Health Study / Study of Latinos (SOL)
  • Howard University Family Study (HUFS)
  • Hunter Community Study (HCS)
  • Hypertension Genetic Epidemiology Network (HyperGEN)
  • Inter99 (INTER99)
  • Italian Network of Genetic Isolates - Carlantino (INGI-CAR)
  • Italian Network of Genetic Isolates - Val Borbera (INGI-VBI)
  • Italian Network of Genetic Isolates Friuli Venezia Giulia (INGI-FVG)
  • Iwate Tohoku Medical Megabank (IMM)
  • Jackson Heart Study (JHS)
  • Japan Multi-Institutional Collaborative Cohort Study (J-MICC)
  • JUPITER (JUPITER)
  • Kangbuk Samsung Cohort Study (KSCS)
  • Kita-Nagoya Genomic Epidemiology Study of the CAGE Network (CAGE-KING)
  • Korea National Diabetes Program (KNDP)
  • Korean Genome and Epidemiology Study (KoGES)
  • Kuwait Obesity Diabetes Genetic Program (KODGP)
  • Latvian Population Study of Lipid Genomics (LVLG)
  • LIFE-Adult (LIFE-Adult)
  • LIFE-Heart (LIFE-Heart)
  • Lifelines (LL-Affy)
  • Longitudinal studies for Age Associated Conditions in a Sardinia Population Cohort (SardiNIA)
  • Ludwigshafen Risk and Cardiovascular Health study (LURIC)
  • Mass General Brigham Biobank (MGBB)
  • Mayo Clinic Biobank (MCB)
  • Mayo Vascular Disease Biorepository (VDB)
  • MC1 (MC1)
  • MC2 (MC2)
  • Metabolic Syndrome in Men (METSIM)
  • Mexican Hypertriglyceridemia Cohort (MEXHTG)
  • MHI biobank (MHI-Biobank)
  • Michigan Genomics Initiative (MGI)
  • Million Veteran Program (MVP)
  • Multi-Ethnic Study of Atherosclerosis (MESA)
  • Mumbai Maternal Nutrition Project Children (MMNPC)
  • Mysore Birth Records Cohort (MBRC)
  • Mysore Parthenon Cohort - Children (PARC2)
  • Mysore Parthenon Cohort - Father (PARF)
  • Mysore Parthenon Cohort - Mother (PARM)
  • Netherlands Epidemiology of Obesity (NEO)
  • Netherlands Study of Anxiety and Depression (NESDA)
  • Nijmegen Biomedische Studie (NBS)
  • Northern Finland Birth Cohort 1966 (NFBC1966)
  • NORTHERN IRELAND COHORT FOR THE LONGITUDINAL STUDY OF AGEING (NICOLA)
  • Orkney Complex Disease Study (ORCADES)
  • Penn Medicine BioBank (PMBB)
  • Pharmacogenomics and Risk of Cardiovascular Disease (PARC)
  • PROCARDIS (PROC)
  • Prospective Study of pravastatin in the elderly at risk (PROSPER)
  • Pune Children Study (PCSFM)
  • Pune Maternal Nutrition Study - Children (PMNSC)
  • Pune Maternal Nutrition Study - Father (PMNSF)
  • Pune Maternal Nutrition Study - Mother (PMNSM)
  • Qatar Genome, Qatar Precision Health Institute (QGP-QPHI)
  • QIMR Berghofer Genetic Epidemiology Cohort (QIMRB)
  • Quebec Family Study (QFS)
  • Ragama Health Study (RHS)
  • Randomized Trial to Prevent Vascular Events in HIV (REPRIEVE)
  • REasons for Geographic and Racial Differences in Stroke (REGARDS)
  • Religious Orders Study, the Rush Memory and Aging Project, Minority Aging Research Study, Clinical care core (RUSHRADC)
  • Rotterdam Study 1 (RS1)
  • Rotterdam Study 2 (RS2)
  • Rotterdam Study III (RS3)
  • Russian Biobank (BBRU)
  • Saxagliptin Assessment of Vascular Outcomes Recorded in Patients with Diabetes Mellitus (SAVOR)
  • SDC (SDC)
  • Shanghai Men's Health Study (SMHS)
  • Shanghai Women's Health Study (SWHS)
  • Singapore Chinese Eye Study (SCES-610)
  • Singapore Chinese Health Study CAD (SCHS-CAD)
  • Singapore Coronary Artery Disease Genetics Study (SCADGENS)
  • Singapore Indian Eye Study (SINDI)
  • Singapore Living Biobank (LivingBiobank-Chinese)
  • Singapore Malay Eye Study (SiMES)
  • Singapore Prospective Study Program (SP2-1M)
  • SNUH DM T2D study (SNUHDM)
  • SNUH FM cohort (SNUHFM)
  • Sorbs (Sorbs)
  • Special Turku Coronary Risk Factor Intervention Project - Children (STRIP-CHILDREN)
  • Special Turku Coronary Risk Factor Intervention Project - Parents (STRIP-PARENTS)
  • Stabilization of Plaque Using Darapladib-Thrombolysis in Myocardial Infarction (SOLID)
  • Taiwan Biobank (TWB)
  • The Anglo-Scandinavian Cardiovascular Outcomes Trial - Scandinavian Cohort (ASCOT_SC)
  • The Anglo-Scandinavian Cardiovascular Outcomes Trial - UK Cohort (ASCOT_UK)
  • The Dapagliflozin Effect on Cardiovascular Events –Thrombolysis in Myocardial Infarction (DECLARE)
  • The Finnish Cardiovascular Study (FINCAVAS)
  • The Hypertension-Insulin Resistance Family Study (HTN-IR)
  • The Netherlands Twin Register (NTR)
  • The Raine Study (RaineStudy)
  • The Study of Health in Pomerania (SHIP)
  • The Trøndelag Health Study (HUNT)
  • The Young Finns Study Generation 0 (YFS-G0)
  • The Young Finns Study Generation 1 (YFS-G1)
  • Tohoku Medical Megabank Project Community-Based Cohort Study (ToMMo)
  • Tracking Adolescents' Individual Lives Survey - population cohort (TRAILS-POP)
  • UK Biobank (UKB)
  • UK ROI GENIE (UKROI)
  • Vejle Biobank (VEJLE)
  • Viking Health Study Shetland (VIKING)
  • VUMC BioVU (BioVU)
  • Wellcome Genetic Cohort (WG)
  • Women's Health Initiative (GARNET)
  • Women'’s Genome Health Study (WGHS)
Consortium Map

Data Downloads

When using downloaded data, please cite the corresponding paper:

Implicating genes, pleiotropy, and sexual dimorphism at blood lipid loci through multi-ancestry meta-analysis.

Kanoni et al.

Genome Biol. 23(1):268. (2022).
A multi-layer functional genomic analysis to understand noncoding genetic variation in lipids.

Ramdas et al.

Am J Hum Genet. 109(8):1366-1387 (2022).
Rare coding variants in 35 genes associate with circulating lipid levels-A multi-ancestry analysis of 170,000 exomes.

Hindy et al.

Am J Hum Genet. 109(1):81-96 (2022).
The power of genetic diversity in genome-wide association studies of lipids.

Graham et al.

Nature volume 600, pages 675–679 (2021).
Exome chip meta-analysis identifies novel loci and East Asian-specific coding variants that contribute to lipid levels and coronary artery disease.

Lu et al.

Nat Genet. 49(12):1722-1730. (2017).
Exome-wide association study of plasma lipids in >300,000 individuals.

Liu et al.

Nat Genet. 49(12):1758-1766 (2017).
Discovery and refinement of loci associated with lipid levels.

Global Lipids Genetics Consortium et al.

Nat Genet. 45, 1274-83 (2013).
Biological, clinical and population relevance of 95 loci for blood lipids.

Teslovich TM et al.

Nature 466, 707-13 (2010).
Common variants at 30 loci contribute to polygenic dyslipidemia.

Kathiresan S et al.

Nat Genet. 41, 56-65 (2009).
Newly identified loci that influence lipid concentrations and risk of coronary artery disease.

Willer CJ et al.

Nat Genet. 40, 161-9 (2008).
Six new loci associated with blood low-density lipoprotein cholesterol, high-density lipoprotein cholesterol or triglycerides in humans.

Kathiresan S et al.

Nat Genet. 40, 1 89-97 (2008).

Consortium Overview