Home LiteratureArticle Details
PMID: 22885922 Published · ppublish English Journal Article Meta-Analysis Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes.

Nature genetics ·Vol. 44 ·No. 9 ·2012-09-00 ·Pages 981-90

Morris AP, Voight BF, Teslovich TM, Ferreira T, Segrè AV, Steinthorsdottir V, Strawbridge RJ, Khan H, Grallert H, Mahajan A, Prokopenko I, Kang HM, Dina C, Esko T, Fraser RM, Kanoni S, Kumar A, Lagou V, Langenberg C, Luan J, Lindgren CM, Müller-Nurasyid M, Pechlivanis S, Rayner NW, Scott LJ, Wiltshire S, Yengo L, Kinnunen L, Rossin EJ, Raychaudhuri S, Johnson AD, Dimas AS, Loos RJ, Vedantam S, Chen H, Florez JC, Fox C, Liu CT, Rybin D, Couper DJ, Kao WH, Li M, Cornelis MC, Kraft P, Sun Q, van Dam RM, Stringham HM, Chines PS, Fischer K, Fontanillas P, Holmen OL, Hunt SE, Jackson AU, Kong A, Lawrence R, Meyer J, Perry JR, Platou CG, Potter S, Rehnberg E, Robertson N, Sivapalaratnam S, Stančáková A, Stirrups K, Thorleifsson G, Tikkanen E, Wood AR, Almgren P, Atalay M, Benediktsson R, Bonnycastle LL, Burtt N, Carey J, Charpentier G, Crenshaw AT, Doney AS, Dorkhan M, Edkins S, Emilsson V, Eury E, Forsen T, Gertow K, Gigante B, Grant GB, Groves CJ, Guiducci C, Herder C, Hreidarsson AB, Hui J, James A, Jonsson A, Rathmann W, Klopp N, Kravic J, Krjutškov K, Langford C, Leander K, Lindholm E, Lobbens S, Männistö S, Mirza G, Mühleisen TW, Musk B, Parkin M, Rallidis L, Saramies J, Sennblad B, Shah S, Sigurðsson G, Silveira A, Steinbach G, Thorand B, Trakalo J, Veglia F, Wennauer R, Winckler W, Zabaneh D, Campbell H, van Duijn C, Uitterlinden AG, Hofman A, Sijbrands E, Abecasis GR, Owen KR, Zeggini E, Trip MD, Forouhi NG, Syvänen AC, Eriksson JG, Peltonen L, Nöthen MM, Balkau B, Palmer CN, Lyssenko V, Tuomi T, Isomaa B, Hunter DJ, Qi L, Wellcome Trust Case Control Consortium, Meta-Analyses of Glucose and Insulin-related traits Consortium MAGIC Investigators, Genetic Investigation of ANthropometric Traits GIANT Consortium, Asian Genetic Epidemiology Network–Type 2 Diabetes AGEN-T2D Consortium, South Asian Type 2 Diabetes SAT2D Consortium, Shuldiner AR, Roden M, Barroso I, Wilsgaard T, Beilby J, Hovingh K, Price JF, Wilson JF, Rauramaa R, Lakka TA, Lind L, Dedoussis G, Njølstad I, Pedersen NL, Khaw KT, Wareham NJ, Keinanen-Kiukaanniemi SM, Saaristo TE, Korpi-Hyövälti E, Saltevo J, Laakso M, Kuusisto J, Metspalu A, Collins FS, Mohlke KL, Bergman RN, Tuomilehto J, Boehm BO, Gieger C, Hveem K, Cauchi S, Froguel P, Baldassarre D, Tremoli E, Humphries SE, Saleheen D, Danesh J, Ingelsson E, Ripatti S, Salomaa V, Erbel R, Jöckel KH, Moebus S, Peters A, Illig T, de Faire U, Hamsten A, Morris AD, Donnelly PJ, Frayling TM, Hattersley AT, Boerwinkle E, Melander O, Kathiresan S, Nilsson PM, Deloukas P, Thorsteinsdottir U, Groop LC, Stefansson K, Hu F, Pankow JS, Dupuis J, Meigs JB, Altshuler D, Boehnke M, McCarthy MI, DIAbetes Genetics Replication And Meta-analysis DIAGRAM Consortium

Abstract

To extend understanding of the genetic architecture and molecular basis of type 2 diabetes (T2D), we conducted a meta-analysis of genetic variants on the Metabochip, including 34,840 cases and 114,981 controls, overwhelmingly of European descent. We identified ten previously unreported T2D susceptibility loci, including two showing sex-differentiated association. Genome-wide analyses of these data are consistent with a long tail of additional common variant loci explaining much of the variation in susceptibility to T2D. Exploration of the enlarged set of susceptibility loci implicates several processes, including CREBBP-related transcription, adipocytokine signaling and cell cycle regulation, in diabetes pathogenesis.

MeSH Terms
Case-Control Studies Diabetes Mellitus, Type 2/epidemiology,genetics Female Genes/physiology Genetic Predisposition to Disease/genetics Genome-Wide Association Study/statistics & numerical data Humans Linkage Disequilibrium Male Pakistan/epidemiology Polymorphism, Single Nucleotide/physiology Sex Factors
Authors & Affiliations
210 authors, click to expand affiliations / ORCID
Morris Andrew P
Wellcome Trust Centre for Human Genetics, University of Oxford, UK. [email protected]
Voight Benjamin F
Teslovich Tanya M
Ferreira Teresa
Segrè Ayellet V
Steinthorsdottir Valgerdur
Strawbridge Rona J
Khan Hassan
Grallert Harald
Mahajan Anubha
Prokopenko Inga
Kang Hyun Min
Dina Christian
Esko Tonu
Fraser Ross M
Kanoni Stavroula
Kumar Ashish
Lagou Vasiliki
Langenberg Claudia
Luan Jian'an
Lindgren Cecilia M
Müller-Nurasyid Martina
Pechlivanis Sonali
Rayner N William
Scott Laura J
Wiltshire Steven
Yengo Loic
Kinnunen Leena
Rossin Elizabeth J
Raychaudhuri Soumya
Johnson Andrew D
Dimas Antigone S
Loos Ruth J F
Vedantam Sailaja
Chen Han
Florez Jose C
Fox Caroline
Liu Ching-Ti
Rybin Denis
Couper David J
Kao Wen Hong L
Li Man
Cornelis Marilyn C
Kraft Peter
Sun Qi
van Dam Rob M
Stringham Heather M
Chines Peter S
Fischer Krista
Fontanillas Pierre
Holmen Oddgeir L
Hunt Sarah E
Jackson Anne U
Kong Augustine
Lawrence Robert
Meyer Julia
Perry John R B
Platou Carl G P
Potter Simon
Rehnberg Emil
Robertson Neil
Sivapalaratnam Suthesh
Stančáková Alena
Stirrups Kathleen
Thorleifsson Gudmar
Tikkanen Emmi
Wood Andrew R
Almgren Peter
Atalay Mustafa
Benediktsson Rafn
Bonnycastle Lori L
Burtt Noël
Carey Jason
Charpentier Guillaume
Crenshaw Andrew T
Doney Alex S F
Dorkhan Mozhgan
Edkins Sarah
Emilsson Valur
Eury Elodie
Forsen Tom
Gertow Karl
Gigante Bruna
Grant George B
Groves Christopher J
Guiducci Candace
Herder Christian
Hreidarsson Astradur B
Hui Jennie
James Alan
Jonsson Anna
Rathmann Wolfgang
Klopp Norman
Kravic Jasmina
Krjutškov Kaarel
Langford Cordelia
Leander Karin
Lindholm Eero
Lobbens Stéphane
Männistö Satu
Mirza Ghazala
Mühleisen Thomas W
Musk Bill
Parkin Melissa
Rallidis Loukianos
Saramies Jouko
Sennblad Bengt
Shah Sonia
Sigurðsson Gunnar
Silveira Angela
Steinbach Gerald
Thorand Barbara
Trakalo Joseph
Veglia Fabrizio
Wennauer Roman
Winckler Wendy
Zabaneh Delilah
Campbell Harry
van Duijn Cornelia
Uitterlinden Andre G
Hofman Albert
Sijbrands Eric
Abecasis Goncalo R
Owen Katharine R
Zeggini Eleftheria
Trip Mieke D
Forouhi Nita G
Syvänen Ann-Christine
Eriksson Johan G
Peltonen Leena
Nöthen Markus M
Balkau Beverley
Palmer Colin N A
Lyssenko Valeriya
Tuomi Tiinamaija
Isomaa Bo
Hunter David J
Qi Lu
Wellcome Trust Case Control Consortium
Meta-Analyses of Glucose and Insulin-related traits Consortium (MAGIC) Investigators
Genetic Investigation of ANthropometric Traits (GIANT) Consortium
Asian Genetic Epidemiology Network–Type 2 Diabetes (AGEN-T2D) Consortium
South Asian Type 2 Diabetes (SAT2D) Consortium
Shuldiner Alan R
Roden Michael
Barroso Ines
Wilsgaard Tom
Beilby John
Hovingh Kees
Price Jackie F
Wilson James F
Rauramaa Rainer
Lakka Timo A
Lind Lars
Dedoussis George
Njølstad Inger
Pedersen Nancy L
Khaw Kay-Tee
Wareham Nicholas J
Keinanen-Kiukaanniemi Sirkka M
Saaristo Timo E
Korpi-Hyövälti Eeva
Saltevo Juha
Laakso Markku
Kuusisto Johanna
Metspalu Andres
Collins Francis S
Mohlke Karen L
Bergman Richard N
Tuomilehto Jaakko
Boehm Bernhard O
Gieger Christian
Hveem Kristian
Cauchi Stephane
Froguel Philippe
Baldassarre Damiano
Tremoli Elena
Humphries Steve E
Saleheen Danish
Danesh John
Ingelsson Erik
Ripatti Samuli
Salomaa Veikko
Erbel Raimund
Jöckel Karl-Heinz
Moebus Susanne
Peters Annette
Illig Thomas
de Faire Ulf
Hamsten Anders
Morris Andrew D
Donnelly Peter J
Frayling Timothy M
Hattersley Andrew T
Boerwinkle Eric
Melander Olle
Kathiresan Sekar
Nilsson Peter M
Deloukas Panos
Thorsteinsdottir Unnur
Groop Leif C
Stefansson Kari
Hu Frank
Pankow James S
Dupuis Josée
Meigs James B
Altshuler David
Boehnke Michael
McCarthy Mark I
DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium
References (55)
55 references, click to expand
  1. Type 2 diabetes: principles of pathogenesis and therapy.
    Lancet. 2005 Apr 9-15;365(9467):1333-46 PMID: 15823385
  2. Exhaustive allelic transmission disequilibrium tests as a new approach to genome-wide association studies.
    Nat Genet. 2004 Nov;36(11):1181-8 PMID: 15502828
  3. Adipocytokines and insulin resistance.
    J Clin Endocrinol Metab. 2004 Feb;89(2):447-52 PMID: 14764746
  4. Biological, clinical and population relevance of 95 loci for blood lipids.
    Nature. 2010 Aug 5;466(7307):707-13 PMID: 20686565
  5. Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis.
    Nat Genet. 2010 Jul;42(7):579-89 PMID: 20581827
  6. Mechanisms of disease:Molecular and metabolic mechanisms of insulin resistance and beta-cell failure in type 2 diabetes.
    Nat Rev Mol Cell Biol. 2008 Mar;9(3):193-205 PMID: 18200017
  7. Genome-wide association study in individuals of South Asian ancestry identifies six new type 2 diabetes susceptibility loci.
    Nat Genet. 2011 Aug 28;43(10):984-9 PMID: 21874001
  8. Replication of genome-wide association signals in UK samples reveals risk loci for type 2 diabetes.
    Science. 2007 Jun 1;316(5829):1336-41 PMID: 17463249
  9. Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways.
    Nat Genet. 2012 Sep;44(9):991-1005 PMID: 22885924
  10. Genetics of gene expression and its effect on disease.
    Nature. 2008 Mar 27;452(7186):423-8 PMID: 18344981
  11. Estimating missing heritability for disease from genome-wide association studies.
    Am J Hum Genet. 2011 Mar 11;88(3):294-305 PMID: 21376301
  12. Genome-wide association study and meta-analysis find that over 40 loci affect risk of type 1 diabetes.
    Nat Genet. 2009 Jun;41(6):703-7 PMID: 19430480
  13. Common variants at 10 genomic loci influence hemoglobin A₁(C) levels via glycemic and nonglycemic pathways.
    Diabetes. 2010 Dec;59(12):3229-39 PMID: 20858683
  14. SIFT: Predicting amino acid changes that affect protein function.
    Nucleic Acids Res. 2003 Jul 1;31(13):3812-4 PMID: 12824425
  15. Bayesian inference analyses of the polygenic architecture of rheumatoid arthritis.
    Nat Genet. 2012 Mar 25;44(5):483-9 PMID: 22446960
  16. A map of human genome variation from population-scale sequencing.
    Nature. 2010 Oct 28;467(7319):1061-73 PMID: 20981092
  17. Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution.
    Nat Genet. 2010 Nov;42(11):949-60 PMID: 20935629
  18. Genetic variants at 2q24 are associated with susceptibility to type 2 diabetes.
    Hum Mol Genet. 2010 Jul 1;19(13):2706-15 PMID: 20418489
  19. TCF7L2 variants are associated with increased proinsulin/insulin ratios but not obesity traits in the Framingham Heart Study.
    Diabetologia. 2009 Apr;52(4):614-20 PMID: 19183934
  20. Epidemiological evidence for the links between sleep, circadian rhythms and metabolism.
    Obes Rev. 2009 Nov;10 Suppl 2:37-45 PMID: 19849800
  21. SNPs in KCNQ1 are associated with susceptibility to type 2 diabetes in East Asian and European populations.
    Nat Genet. 2008 Sep;40(9):1098-102 PMID: 18711366
  22. Common variants near MC4R are associated with fat mass, weight and risk of obesity.
    Nat Genet. 2008 Jun;40(6):768-75 PMID: 18454148
  23. Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes.
    Nat Genet. 2008 May;40(5):638-45 PMID: 18372903
  24. Integrating common and rare genetic variation in diverse human populations.
    Nature. 2010 Sep 2;467(7311):52-8 PMID: 20811451
  25. Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index.
    Nat Genet. 2010 Nov;42(11):937-48 PMID: 20935630
  26. Consistent association of type 2 diabetes risk variants found in europeans in diverse racial and ethnic groups.
    PLoS Genet. 2010 Aug 26;6(8): PMID: 20865176
  27. Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits.
    Nat Genet. 2012 Mar 18;44(4):369-75, S1-3 PMID: 22426310
  28. Meta-analysis of genome-wide association studies identifies eight new loci for type 2 diabetes in east Asians.
    Nat Genet. 2011 Dec 11;44(1):67-72 PMID: 22158537
  29. Induction of human beta-cell proliferation and engraftment using a single G1/S regulatory molecule, cdk6.
    Diabetes. 2010 Aug;59(8):1926-36 PMID: 20668294
  30. A large-scale analysis of tissue-specific pathology and gene expression of human disease genes and complexes.
    Proc Natl Acad Sci U S A. 2008 Dec 30;105(52):20870-5 PMID: 19104045
  31. Parental origin of sequence variants associated with complex diseases.
    Nature. 2009 Dec 17;462(7275):868-74 PMID: 20016592
  32. Statistical methods for identifying differentially expressed genes in DNA microarrays.
    Methods Mol Biol. 2003;224:149-57 PMID: 12710672
  33. A genome-wide association study in the Japanese population identifies susceptibility loci for type 2 diabetes at UBE2E2 and C2CD4A-C2CD4B.
    Nat Genet. 2010 Oct;42(10):864-8 PMID: 20818381
  34. New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk.
    Nat Genet. 2010 Feb;42(2):105-16 PMID: 20081858
  35. Comparing strategies to fine-map the association of common SNPs at chromosome 9p21 with type 2 diabetes and myocardial infarction.
    Nat Genet. 2011 Jul 24;43(8):801-5 PMID: 21775993
  36. Proteins encoded in genomic regions associated with immune-mediated disease physically interact and suggest underlying biology.
    PLoS Genet. 2011 Jan 13;7(1):e1001273 PMID: 21249183
  37. The genetic interpretation of area under the ROC curve in genomic profiling.
    PLoS Genet. 2010 Feb 26;6(2):e1000864 PMID: 20195508
  38. Genetic variation in GIPR influences the glucose and insulin responses to an oral glucose challenge.
    Nat Genet. 2010 Feb;42(2):142-8 PMID: 20081857
  39. Identification of new genetic risk variants for type 2 diabetes.
    PLoS Genet. 2010 Sep 16;6(9):e1001127 PMID: 20862305
  40. A human phenome-interactome network of protein complexes implicated in genetic disorders.
    Nat Biotechnol. 2007 Mar;25(3):309-16 PMID: 17344885
  41. Genomic control for association studies.
    Biometrics. 1999 Dec;55(4):997-1004 PMID: 11315092
  42. A second generation human haplotype map of over 3.1 million SNPs.
    Nature. 2007 Oct 18;449(7164):851-61 PMID: 17943122
  43. The metabochip, a custom genotyping array for genetic studies of metabolic, cardiovascular, and anthropometric traits.
    PLoS Genet. 2012;8(8):e1002793 PMID: 22876189
  44. Common inherited variation in mitochondrial genes is not enriched for associations with type 2 diabetes or related glycemic traits.
    PLoS Genet. 2010 Aug 12;6(8): PMID: 20714348
  45. The emerging genetic architecture of type 2 diabetes.
    Cell Metab. 2008 Sep;8(3):186-200 PMID: 18762020
  46. A common inversion under selection in Europeans.
    Nat Genet. 2005 Feb;37(2):129-37 PMID: 15654335
  47. Heterogeneity in meta-analyses of genome-wide association investigations.
    PLoS One. 2007 Sep 05;2(9):e841 PMID: 17786212
  48. Rare variants create synthetic genome-wide associations.
    PLoS Biol. 2010 Jan 26;8(1):e1000294 PMID: 20126254
  49. Loss of Cdk4 expression causes insulin-deficient diabetes and Cdk4 activation results in beta-islet cell hyperplasia.
    Nat Genet. 1999 May;22(1):44-52 PMID: 10319860
  50. Identifying relationships among genomic disease regions: predicting genes at pathogenic SNP associations and rare deletions.
    PLoS Genet. 2009 Jun;5(6):e1000534 PMID: 19557189
  51. A genome-wide association study identifies susceptibility variants for type 2 diabetes in Han Chinese.
    PLoS Genet. 2010 Feb 19;6(2):e1000847 PMID: 20174558
  52. Common genetic variation near MC4R is associated with waist circumference and insulin resistance.
    Nat Genet. 2008 Jun;40(6):716-8 PMID: 18454146
  53. Common SNPs explain a large proportion of the heritability for human height.
    Nat Genet. 2010 Jul;42(7):565-9 PMID: 20562875
  54. Meta-analysis of sex-specific genome-wide association studies.
    Genet Epidemiol. 2010 Dec;34(8):846-53 PMID: 21104887
  55. Vitamin D insufficiency and diabetes risks.
    Curr Drug Targets. 2011 Jan;12(1):61-87 PMID: 20795936
Article Info
Journal
Nature genetics
Abbr.
Nat Genet
ISSN
1546-1718
Published
2012-09-00
Epub
2012-00-12
Pages
981-90
Language
English
Region
United States
NLM ID
9216904
PMCID
PMC3442244
Subset
IM
Grants
NHLBI NIH HHS · HHSN268201100006C · United States
NIDDK NIH HHS · DK062370 · United States
NIDDK NIH HHS · R01 DK093757 · United States
NIDDK NIH HHS · R01 DK078616 · United States
NHLBI NIH HHS · HHSN268201100012C · United States
NIA NIH HHS · AG04563 · United States
NCRR NIH HHS · UL1RR025005 · United States
Chief Scientist Office · CZB/4/710 · United Kingdom
NIDDK NIH HHS · R01 DK073490 · United States
NHLBI NIH HHS · HHSN268201100009I · United States
Chief Scientist Office · CZB/4/672 · United Kingdom
Wellcome Trust · 098017 · United Kingdom
NIDDK NIH HHS · R01 DK058845 · United States
Wellcome Trust · GR098051 · United Kingdom
British Heart Foundation · RG/08/008/25291 · United Kingdom
NIDDK NIH HHS · R56 DK062370 · United States
NHGRI NIH HHS · N01HG65403 · United States
NIDDK NIH HHS · DK058845 · United States
Medical Research Council · MC_UP_A100_1003 · United Kingdom
NINDS NIH HHS · 1R21NS064908 · United States
Wellcome Trust · GR077016 · United Kingdom
NHLBI NIH HHS · R01HL59367 · United States
NHLBI NIH HHS · HHSN268201100010C · United States
NCRR NIH HHS · UL1 RR025005 · United States
NIA NIH HHS · AG10175 · United States
NHLBI NIH HHS · HHSN268201100008C · United States
NIDDK NIH HHS · U01 DK085545 · United States
Medical Research Council · G19/35 · United Kingdom
Wellcome Trust · GR086596 · United Kingdom
NHLBI NIH HHS · HHSN268201100005G · United States
British Heart Foundation · RG2008/08 · United Kingdom
NHLBI NIH HHS · HHSN268201100008I · United States
Medical Research Council · G0100222 · United Kingdom
NHLBI NIH HHS · R01 HL059367 · United States
NHGRI NIH HHS · U01 HG006513 · United States
NHLBI NIH HHS · HHSN268201100007C · United States
NCI NIH HHS · P01 CA055075 · United States
British Heart Foundation · RG/08/014/24067 · United Kingdom
NIA NIH HHS · AG028555 · United States
NIDDK NIH HHS · R01 DK072193 · United States
NHLBI NIH HHS · HHSN268201100011I · United States
NHLBI NIH HHS · HHSN268201100011C · United States
NHLBI NIH HHS · R01 HL086694 · United States
NIA NIH HHS · R01 AG008724 · United States
Medical Research Council · G8802774 · United Kingdom
Medical Research Council · G1000143 · United Kingdom
NHGRI NIH HHS · T32 HG000040 · United States
Medical Research Council · G0902037 · United Kingdom
NHGRI NIH HHS · U01HG004399 · United States
NHGRI NIH HHS · 1Z01HG000024 · United States
PHS HHS · HHSN268200625226C · United States
NHGRI NIH HHS · U01 HG004402 · United States
NIGMS NIH HHS · T32 GM007753 · United States
Department of Health · DHCS/07/07/008 · United Kingdom
Wellcome Trust · GR076113 · United Kingdom
NIDDK NIH HHS · R01 DK062370 · United States
NHGRI NIH HHS · U01HG004402 · United States
Wellcome Trust · GR084711 · United Kingdom
NIDDK NIH HHS · DK072193 · United States
Medical Research Council · MC_U106179471 · United Kingdom
NIA NIH HHS · R01 AG028555 · United States
Wellcome Trust · 090367 · United Kingdom
NHLBI NIH HHS · R01HL087641 · United States
Wellcome Trust · GR083270 · United Kingdom
Wellcome Trust · GR081682 · United Kingdom
NHLBI NIH HHS · HHSN268201100005I · United States
Medical Research Council · G0401527 · United Kingdom
Medical Research Council · G0701863 · United Kingdom
Intramural NIH HHS · Z01 HG000024 · United States
NIDDK NIH HHS · K24 DK080140 · United States
Wellcome Trust · 090532 · United Kingdom
Medical Research Council · G0000649 · United Kingdom
Medical Research Council · MC_PC_U127561128 · United Kingdom
NIA NIH HHS · AG08861 · United States
NIDDK NIH HHS · U01 DK078616 · United States
NIA NIH HHS · AG08724 · United States
NIDDK NIH HHS · DK078616 · United States
Wellcome Trust · 064890 · United Kingdom
NIDDK NIH HHS · U01 DK062370 · United States
NHLBI NIH HHS · HHSN268201100009C · United States
NHLBI NIH HHS · HHSN268201100005C · United States
NHLBI NIH HHS · N01HC25195 · United States
NHLBI NIH HHS · N02HL64278 · United States
NCRR NIH HHS · UL1 RR029887 · United States
NIDDK NIH HHS · P30 DK020572 · United States
NHLBI NIH HHS · HHSN268201100007I · United States
Wellcome Trust · United Kingdom
NCI NIH HHS · CA055075 · United States
Wellcome Trust · GR072960 · United Kingdom
NIDDK NIH HHS · UM1 DK078616 · United States
Wellcome Trust · GR090532 · United Kingdom
NIDDK NIH HHS · DK073490 · United States
NHLBI NIH HHS · R01 HL087641 · United States
NINDS NIH HHS · R21 NS064908 · United States
NIDDK NIH HHS · DK080140 · United States
NIA NIH HHS · R01 AG010175 · United States
British Heart Foundation · RG/98002 · United Kingdom
NHGRI NIH HHS · U01 HG004399 · United States
Wellcome Trust · 081682 · United Kingdom
Medical Research Council · G0601261 · United Kingdom
Cancer Research UK · United Kingdom
Wellcome Trust · GR083948 · United Kingdom
NHLBI NIH HHS · R01HL086694 · United States
British Heart Foundation · RG/07/008/23674 · United Kingdom
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: [email protected]