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
    rs524533 NFKBIE 1.29 0.000732713 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs519007 FOXO3 0.93 0.55 388 vs 371 535 vs 553 German mean age 98.4 years — — Candidate Region/Gene 19196970
    rs4946936 FOXO3 1.40 1.8e-05 761 vs 1056 350 vs 350 Chinese mean age 102.3 T C Candidate Region/Gene 19793722
    rs4946935 FOXO3A 1.48 0.018 302 vs 603;279 vs 797;383 vs 363 — Caucasian 95.3 ± 2.2_x000D_;+M19994.5 ± 2.1_x000D_;mean 97.7, 95– 117 A — Candidate Region/Gene 19489743
    rs4880 SOD2 — 0.009 224 vs 441 — Ashkenazi Jewish 75 C T Candidate Region/Gene 15621215
    rs4880 SOD2 0.91 0.002 1650 — Danish All danes born in 1905 (Danish 1905 cohort) T — Candidate Region/Gene 19428448
    rs4880 SOD2 — 0.009 (150 m, 74 f) vs (121 m, 320 f) — Ashkenazi Jewish Mean age 75 — T Candidate Region/Gene 15621215
    rs479744 FOXO3 1.40 0.001 388 vs 371 535 vs 553 German mean age 98.4 years — — Candidate Region/Gene 19196970
    rs479744 FOXO3 — 0.05 1089 vs 736 — Danish 92–93 (can't figure out using ensemble and NCBI) — Candidate Region/Gene 20849522
    rs473268 FOXO3 1.21 0.044 388 vs 371 535 vs 553 German mean age 98.4 years — — Candidate Region/Gene 19196970
    rs3804474 FLJ33708 1.22 0.000264519 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs3800358 BTBD9 — 0.00541 1173 vs 570 — American 85-100 — T Genome-Wide Association Study 22533364
    rs3800231 FOXO3 1.42 0.0002 388 vs 371 535 vs 553 German mean age 98.4 years — — Candidate Region/Gene 19196970
    rs3800231 FOXO3 1.26 0.0495 1089 vs 736 — Danish 92–93 G — Candidate Region/Gene 20849522
    rs3778588 FOXO3A 1.22 0.023 301 vs 603;279 vs 797;383 vs 363 — Caucasian 95.3 ± 2.2_x000D_;+M19994.5 ± 2.1_x000D_;mean 97.7, 95– 116 — — Candidate Region/Gene 19489743
    rs3763305 BTNL2 1.89 4.51e-05 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs3757354 MYLIP — 6.4e-05 1345 cohort + 1087 offspring — American — — — Genome-Wide Association Study 17903295
    rs361525 TNFa — 0.156 See Description for details — Italian Comparison 1: 66-91. Comparison 2: >88 — — Candidate Region/Gene 21865054
    rs3019435 PARK2 1.41 0.001006354 801 vs 914 — Caucasian Median age 104 C A Genome-Wide Association Study 22279548
    rs2883881 FOXO3 0.77 0.1 388 vs 371 535 vs 553 German mean age 98.4 years — — Candidate Region/Gene 19196970
    rs282070 MAP3K7 — 0.0011 288 vs 554 — Calabrian 90+, median 92 G — Candidate Region/Gene 22576335
    rs2802292 FOXO3A — 1.0 403 vs 1670 4149 vs 7582 Dutch mean 94 — — Genome-Wide Association Study 21418511
    rs2802292 FOXO3 1.36 2.9e-05 761 vs 1056 350 vs 350 Chinese mean age 102.3 G T Candidate Region/Gene 19793722
    rs2802292 FOXO3 — 0.0001 213 vs 402 — Japanese minimum 95; mean 97.9 T — Candidate Region/Gene 18765803
    rs2802292 FOXO3 1.34 0.0078 1089 vs 736 — Danish 92–93 T — Candidate Region/Gene 20849522

    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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