Denigma

Longevity Variant Database

Narrow results by variant, study, or associated fields (e.g. gene symbol ADRB2):

Use ontology terms to further narrow results (e.g. aging, insulin, etc.):

  • Variant effect: + -
    Longevity‑Associated « 
  • Study type: + -
    GWAS (2)   ‑ (8)   Candidate Region/Gene (344)   Meta‑Analysis (30)   Complete Mitochondrial Genome (1)   Genome‑Wide Association Study (607)   Mitochondrial Haplogroup (7)   Mitochondrial genome (3)  
  • Variant type: + -
    SNP (243)   Locus (3)   Haplotype (39)   STR (3)   Deletion (1)   CNV (1)    (1)   VNTR (1)  
    • 1 2 3 4 5 6 7 8 9 10 11 12
    13 14 15 16 17 18 19 20 21 X Y MT
    Export results (Download)

    Populations | Study Types | Variant Types


    LVDB_word_cloud.png
    logo.png
    variants.jpg
    polymorphism factor odds ratio pvalue initial number replication number Population age of cases shorter lived allele longer lived allele study type reference
    e4 APOE — 0.04 376 vs 376 — Canadian 85+ e4 — Candidate Region/Gene 24126160
    rs12978931 PVRL2 1.15 0.0445 597 vs 1275 418 vs 450 Sichuan 90+ — — Candidate Region/Gene 24924924
    rs519825 PVRL2 1.28 0.01577 597 vs 1275 418 vs 450 Sichuan 90+ — — Candidate Region/Gene 24924924
    rs395908 PVRL2 0.81 0.048 597 vs 1275 418 vs 450 Sichuan 90+ — — Candidate Region/Gene 24924924
    rs405509 APOE 1.18 0.027 597 vs 1275 418 vs 450 Sichuan 90+ — — Candidate Region/Gene 24924924
    rs2075650 TOMM40 1.43 0.006 597 vs 1275 418 vs 450 Sichuan 90+ — — Candidate Region/Gene 24924924
    rs7460 PTK2 0.40 0.001 175 vs 355 — Spanish 100-111 A T Candidate Region/Gene 24930376
    e4 APOE 0.55 0.03 163 vs 1039 — Spanish 100+ e4 — Candidate Region/Gene 24534555
    rs1333049 CDKN2B-AS1 — 0.088 152 vs 343 — Spanish 100 C G Candidate Region/Gene 24163049
    rs7843014 — 0.37 0.001 175 vs 355 — Spanish 100-111 A C Candidate Region/Gene 24930376
    rs2802292 FOXO3A 1.36 0.005 2521 vs 2537 — Multiethnic 90+ — — Meta-Analysis 25038186
    rs2764264 FOXO3A 1.20 0.01 1959 vs 1621 — Multiethnic 90+ — — Meta-Analysis 25038186
    rs13217795 FOXO3A 1.27 0.001 1706 vs 1481 — Multiethnic 90+ — — Meta-Analysis 25038186
    rs1935949 FOXO3A 1.14 0.001 1435 vs 2098 — Multiethnic 90+ — — Meta-Analysis 25038186
    rs2802288 FOXO3A 1.24 0.003 1688 vs 1214 — Multiethnic 90+ — — Meta-Analysis 25038186
    rs1525501 — 0.81 8.97e-05 2715 vs 2725 — Multiethnic 100 — — Meta-Analysis 24244950
    rs1456669 — 0.82 0.000312 2715 vs 2725 — Multiethnic 100 — — Meta-Analysis 24244950
    rs4729049 CDK6 1.21 0.001311 2715 vs 2725 — Multiethnic 100 — — Meta-Analysis 24244950
    rs11954180 SLC6A7 1.30 0.001639 2715 vs 2725 — Multiethnic 100 — — Meta-Analysis 24244950
    rs2596230 RYR3 2.61 0.000383 2715 vs 2725 — Multiethnic 100 — — Meta-Analysis 24244950
    rs1800392 WRN 0.79 0.000708 2715 vs 2725 — Multiethnic 100 — — Meta-Analysis 24244950
    rs9536314 KL 1.14 0.05 2913 vs 2206 — Multiethnic — — — Meta-Analysis 24164579
    rs1799752 ACE 1.25 0.032 1803 vs 10484 — Multiethnic Centenarian — DD Meta-Analysis 23623925
    rs1799752 ACE 1.16 0.001 1803 vs 10484 — Multiethnic Centenarian — D Meta-Analysis 23623925
    rs429358, rs7412 APOE — 0.0212 60 vs 89 — African European Range: 20-59 — — Candidate Region/Gene 20569235
    • Page 1 of 42
    • 25 of 1027 variants

    The Longevity Variant Database (LVDB) is a collaborative effort to catalogue all published genetic variants relevant to human longevity.

    The project is directed by the Health Extension Research Foundation [http://www.healthextension.co/about/], and the online content is managed by the members of the Global Computing Initiative.

    LVDB is driven by an international collaboration of scientists, programmers, and volunteers, including Joe Betts-LaCroix, Kristen Fortney, Daniel Wuttke, Eric K. Morgen, Nick Schaum, John M. Adams, Jessica Choi, Barry Goldberg, Amir Levine, Maria Litovchenko, Aiste Narkeviciute, Emily Quist, Navneet Ramesh, Justin Rebo, Dmitri Shytikov, and Jimi Vyas. o

    Suggest a new study Report a database issue