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 (344)   No Age Effect (382)  
  • Study type: + -
    Candidate Region/Gene « 
  • Variant type: + -
    SNP (375)   Locus (3)   Haplotype (53)   Other (1)   STR (11)   Deletion (5)   CNV (1)    (1)   VNTR (1)  
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    13 14 15 16 17 18 19 20 21 X Y MT
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    Populations | Study Types | Variant Types


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    polymorphism factor odds ratio pvalue initial number replication number Population age of cases shorter lived allele longer lived allele study type reference
    G/A-IGF1R, Gly/Asp-IRS2, and Ala/Val-UCP2 allele combination — 3.19 0.0006 208 vs 514 — Italian Mean age 96 non-AAV allele combi AAV allele combinati Candidate Region/Gene 21340542
    rs13320360 MLH1 3.13 0.0036 1089 (see notes - follow-up study) 563 (see notes - follow-up study) Danish 92.2–93.8 (mean age 93.2) w/ 11.4 years follow-up A — Candidate Region/Gene 22406557
    rs1800896 IL10 3.10 0.0003 142 vs 153 — Mean age 67 AA GG Candidate Region/Gene 15466015
    rs1800896 IL-10 3.00 0.0003 142 vs 153 — Italian Mean age 67 AA GG Candidate Region/Gene 15466015
    rs1061581 HSPA1B 2.76 0.039 168 cases — Danish Mean age 92.8 +/- 0.4 А — Candidate Region/Gene 20388090
    rs7896005 SIRT1 2.38 0.003 224 vs 293 170 vs 220 Caucasian, European 90-103, 98+ (replication) G — Candidate Region/Gene 21972126
    rs26802 GHRL 2.34 0.032 1089 (see notes - follow-up study) 563 (see notes - follow-up study) Danish 92.2–93.8 (mean age 93.2) w/ 11.4 years follow-up A — Candidate Region/Gene 22406557
    rs4646994 ACE 2.25 0.003 834 — Brazilian 10-104 I D (only for Gaucho population) Candidate Region/Gene 14528043
    rs11571461 RAD52 2.23 0.0001 1089 vs 736 1613 vs 1104 Danish 92-93 years old A G Candidate Region/Gene 22406557
    rs11571461 RAD52 2.23 0.0001 1089 vs 736 1613 vs 1104 Danish 92.2–93.8 (mean age 93.2) A — Candidate Region/Gene 22406557
    rs28969505 YTHDF2 2.19 0.023 137 vs 412 — Italian age 99–109,years, mean age 101 years; 26 men, 111 women — — Candidate Region/Gene 16799135
    rs28969505 YTHDF2 2.19 0.023 137 vs 412 — Italian age 99–109,years, mean age 101 years; 26 men, 111 women — — Candidate Region/Gene 16799135
    rs8052394 MT1a 2.16 0.0002 151 vs 100 — Italian Mean age 91.4 +/- 4.1 — A Candidate Region/Gene 16955215
    rs4746720 SIRT1 2.10 0.0001 223 vs 277 — Chinese Average age 93 CC, TT CT Candidate Region/Gene 23450480
    rs1805097 IRS2 2.07 0.04 144 vs 418 — Caucasian 85 to 104, mean age = 96 ± 4 C — Candidate Region/Gene 19887537
    HLA-DRB1 13 generic DRB1 alleles HLA-DRB1 2.03 0.001 336 vs 2950 208 vs original 2950 French 100+ and 90+ siblings non-DR11 alleles DR11 Candidate Region/Gene 9425225
    rs1805097 IRS2 2.03 0.0003 144 vs 418 — Italian 85-100 years old non-AA AA Candidate Region/Gene 19887537
    rs1887922 IDE 2.02 0.0004 829 vs 1033 — Australian, Caucasian Mixed — — Candidate Region/Gene 18448515
    APOE e2/e4 APOE 2.00 0.001 300 vs 160 — French 100+ e4 e2 Candidate Region/Gene 8136829
    rs3211994 NTLH1 1.99 0.0056 1089 vs 736 1613 vs 1104 Danish 92-93 years old G A Candidate Region/Gene 22406557
    rs3211994 NTHL1 1.99 0.0056 1089 vs 736 1613 vs 1104 Danish 92.2–93.8 (mean age 93.2) G — Candidate Region/Gene 22406557
    HLA-A phenotype HLA-A 1.95 0.002 201 vs 211 — Chinese 22 centenarians + 179 nonagenarians (mean age 93 ±1.04) A9 A30 Candidate Region/Gene 9147371
    rs73598374 ADA 1.94 0.036 261 vs 144 — Italian 66-88 G*/G* A*+ Candidate Region/Gene 21865054
    rs4646 CYP19 1.90 0.04 108 vs 85 — Italian 90+ — T Candidate Region/Gene 20819792
    rs4340 ACE 1.90 0.001 300 vs 160 — French 100+ I D Candidate Region/Gene 8136829

    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

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