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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    13 14 15 16 17 18 19 20 21 X Y MT
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    Populations | Study Types | Variant Types


    LVDB_word_cloud.png
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    variants.jpg
    polymorphism factor odds ratio pvalue initial number replication number Population age of cases shorter lived allele longer lived allele study type reference
    Met410Val SHC1 — 0.192 730 563 Human 85+ Met — Candidate Region/Gene 15036421
    rs1801274 FCGR2A — 1.0 408 vs 446 vs 454 — German Centenarians — — Candidate Region/Gene 16893392
    GSTM1 deletion GSTM1 — 1.0 565 vs 229 — French mean 101 — — Candidate Region/Gene 9654200
    Not specified REN — 0.029 157 vs 218 — Italian Centenarians 11 — Candidate Region/Gene 15105583
    rs3753645 SHC1 1.28 0.64 230 vs 180 — Japanese Mean age 100.8 +/- 1.5 T — Candidate Region/Gene 14530863
    rs3753644 SHC1 1.28 0.64 230 vs 180 — Japanese Mean age 100.8 +/- 1.5 T — Candidate Region/Gene 14530863
    rs3215173 SHC1 1.60 0.15 230 vs 180 — Japanese Mean age 100.8 +/- 1.5 G/- — Candidate Region/Gene 14530863
    F5 G1691A F5 — 0.002 400 neonates (187 female and 312 male), 184 healthy adults (129 female and 55 male), and 432 long-lived individuals (343 women and 89 men). — Polish >95 years versus 44 years — — - 20720309
    IVS2nt-124 FASLG — 0.315 50 vs 86 — Italian 100.8 ± 1.8 (100 to 106) — — Candidate Region/Gene 11965496
    IVS3nt-167 FASLG — 0.462 50 vs 86 — Italian 100.8 ± 1.8 (100 to 106) — — Candidate Region/Gene 11965496
    - GSTM1 — 0.54 66 vs 150 — Italian 100.19±2.2 (95-105) — — Candidate Region/Gene 15195682
    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
    rs2030071 IL12RB2 (for females) 0.18 0.008 137 vs 213 — Korean Mean age 90 T — Genome-Wide Association Study 19641380
    rs2769255 KCNQ4 (upstream) 1.08 5.17e-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 — T — Genome-Wide Association Study 21782286
    rs2495513 TMEM61 0.60 8.13e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs1538287 KCNH1 0.55 4.87e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs6701445 TAF5L 1.84 4.19e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    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
    rs2476601 PTPN22 — 0.663 225 vs 278 — Italian Mean age 93 — — Candidate Region/Gene 21113673
    rs1801133 MTHFR — 0.01 108 (patients with CVD) vs 118 — Swiss >65 C — Candidate Region/Gene 10583447
    AGT AGT — 1.0 224 vs 441 — Ashkenazi Jewish 75 — — Candidate Region/Gene 15621215
    - PARP1 — 1.0 239 vs 198 — French >100 — — Candidate Region/Gene 9587069
    rs1800896 IL10 — 0.64 250 vs 400 — Finn >90 — — Candidate Region/Gene 11640949
    rs1801133 MTHFR — 0.727 130 vs 135 — Jordanian Mean age 90.01 — — Candidate Region/Gene 20003469
    rs2275075 LMNA — 0.54 873 vs 443 New England Centenarian Study: 545 vs 193; French: 557 vs 546; Southern Italian Centenarian Study: 455 vs 450; Ashkenazi Jewish: 354 vs 348 American, Caucasian Mean age 101.5 — — Candidate Region/Gene 22340368
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    • 25 of 83 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