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)  
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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
    rs2708754 ZNF331 0.94 5.79e-05 5974 (RS), 3267 (CHS), 3136 (FHS), 4511 (ARIC), 3219 (AGES), 902 (inCHIANTI), 620 (BLSA), 1661 (HABC), 1717 (SHIP) Whitehall II - 6000 (UK), English Longitudinal Study of Ageing (UK), Religious Order Study - 1100, Memory and Ageing Project American — — A Genome-Wide Association Study 21782286
    rs10412199 ATCAY 0.91 3.02e-06 5974 (RS), 3267 (CHS), 3136 (FHS), 4511 (ARIC), 3219 (AGES), 902 (inCHIANTI), 620 (BLSA), 1661 (HABC), 1717 (SHIP) Whitehall II - 6000 (UK), English Longitudinal Study of Ageing (UK), Religious Order Study - 1100, Memory and Ageing Project American — — A Genome-Wide Association Study 21782286
    rs4420638 APOC1 0.53 1.8e-10 763 vs 1085 754 vs 850 German Mean age 99.7 G — Genome-Wide Association Study 21740922
    rs2075650 APOE 0.71 3.39e-17 403 vs 1670 4149 vs 7582 Dutch mean 94 e4 — Genome-Wide Association Study 21418511
    rs429358, rs7412 APOE — 0.0005 318 vs 350 376 vs 506 American, Caucasian Mean age 100,8 e4 e2 Candidate Region/Gene 18034366
    rs2075650 TOMM40 0.53 2.65e-06 403 vs 1670 3746 vs 5912 Dutch Mean age 94 G — Genome-Wide Association Study 21418511
    rs2302951 GRWD1 1.51 7.59e-05 403 vs 1670 3746 vs 5912 Dutch Mean age 94 — A Genome-Wide Association Study 21418511
    rs2075650 TOMM40 2.07 2.36e-10 801 vs 914 253 vs 341 Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs769449 APOE 0.70 0.018 1,089 vs 736 1,613 vs 1,104 Danish, German 92-93 Danish, 95–110 German G — — 22234866
    APOE4 APOE — 0.013 35 vs 125 — Chinese 90 years or over High E4 frequency — Candidate Region/Gene 11780357
    APOE4 APOE — 0.71 106 vs 349 — American 70-79 (duration of study - 7 years) e4 — Candidate Region/Gene 16799145
    apoE haplotypes APOE — 0.013 35 old vs 71 young vs 54 MI patients — Chinese 90+ apoE4 — Candidate Region/Gene 11780357
    Apo C-I 1>2 Apo C-I — 0.05 282 vs 200 — British 84+ Apo C-I 2 — Candidate Region/Gene 9105559
    APOE polymorphism APOE 3.26 0.001 64 vs 1344 — Italian 100+ e4 e2 Candidate Region/Gene 16960022
    apoE haplotypes APOE — 0.013 35 old vs 71 young vs 54 MI patients — Chinese 90 apoE4 ApT4 Candidate Region/Gene 11780357
    apoE haplotypes APOE — 0.013 35 old vs 71 young vs 54 MI patients — Chinese 90 apoE4 — Candidate Region/Gene 11780357
    rs1799782 XRCC1 — 0.658 430 vs 290 — British Mean age 70 — — Candidate Region/Gene 16518718
    rs25487 XRCC1 — 0.51 430 vs 290 — British Mean age 70 — — Candidate Region/Gene 16518718
    rs5491 ICAM1 — 5e-66 5036 — American 28-70 TT, AT AA Genome-Wide Association Study 22174011
    rs72533289 KIR2DS4 — 1.0 180 vs 180 — Irish Mean age 89 — — Candidate Region/Gene 15130674
    APOE polymorphism APOE — 0.0001 291 vs 589 — Finn Mean age 97.5 e4 e2 Candidate Region/Gene 16487435
    APOE e2,e3,e4 APOE 9.24 0.01 224 vs 441 — Ashkenazi Jewish 75 e4 e2 Candidate Region/Gene 15621215
    rs429358, rs7412 APOE 0.43 0.0006 114 vs 2071 — Irish >90 e4 e2 Candidate Region/Gene 11470126
    APOE e2/e4 APOE 2.00 0.001 300 vs 160 — French 100+ e4 e2 Candidate Region/Gene 8136829
    APOE haplotype - rs1346044 APOE — 0.0001 175 vs 178 — Finn 100.8 e4 e2 Candidate Region/Gene 10069711
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    • 25 of 67 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

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