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 (1027)   No Age Effect (543)  
  • Study type: + -
    GWAS (2)   ‑ (27)   Candidate Region/Gene (784)   Meta‑Analysis (38)   Complete Mitochondrial Genome (2)   Whole‑Genome Linkage Scan (1)   Genome‑Wide Association Study (710)   Mitochondrial Haplogroup (36)   Mitochondrial genome (3)  
  • Variant type: + -
    SNP (572)   Locus (5)   Haplotype (87)   Other (1)   STR (11)   Deletion (5)   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
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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
    K153R MSTN 3.48 0.001 156 vs 384 79 vs 316 Italian, Spaniard 100–111 K — Candidate Region/Gene 23354683
    K153R MSTN 3.48 0.001 156 vs 384 79 vs 316 (unelated Italian cohort) Spaniard Range : 100-111 K R Candidate Region/Gene 23354683
    rs1061581-rs1043618-rs2227956 — 3.46 0.025 191 vs 53 — Chinese >90 non A-G-C or non A-C-T haplotypes A-G-C Candidate Region/Gene 19840767
    REN polymorphism - mtDNA mtDNA 3.27 0.006 157 — Italian 100+ — REN10 - mtDNA haplogroup H Candidate Region/Gene 11938442
    APOE polymorphism APOE 3.26 0.001 64 vs 1344 — Italian 100+ e4 e2 Candidate Region/Gene 16960022
    rs2701858, rs9486902 — 3.23 0.0001 1088 — Danish 92+ — — Candidate Region/Gene 23607278
    rs2107538 RANTES 3.20 0.029 104 vs 110 — Spaniard Mean age 89.4 A G Candidate Region/Gene 22265023
    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
    rs11005328 ZWINT 3.16 0.002342056 801 vs 914 — Caucasian Median age 104 A C Genome-Wide Association Study 22279548
    rs7583529 CFLAR 3.15 6.45e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs7873259 ANKRD19 3.14 1.18e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    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
    rs1584547 — 2.96 8.52e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs1061581 HSPA1B 2.76 0.039 168 cases — Danish Mean age 92.8 +/- 0.4 А — Candidate Region/Gene 20388090
    rs17154903 Intergenic 2.68 7.31e-05 403 vs 1670 3746 vs 5912 Dutch Mean age 94 — A Genome-Wide Association Study 21418511
    rs2596230 RYR3 2.61 0.000383 2715 vs 2725 — Multiethnic 100 — — Meta-Analysis 24244950
    rs731287 — 2.51 9.88e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs2070325 LPLUNC4 2.42 5.98e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    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
    rs10923806 — 2.30 7.24e-06 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    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

    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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