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
    Export results (Download)

    Populations | Study Types | Variant Types


    LVDB_word_cloud.png
    logo.png
    variants.jpg
    polymorphism factor odds ratio pvalue initial number replication number Population age of cases shorter lived allele longer lived allele study type reference
    rs662 PON1 — 1.0 579 vs 308 — Italian Over 100 G A Candidate Region/Gene 12082503
    rs854560 PON1 — 1.0 579 vs 308 — Italian Over 100 — — Candidate Region/Gene 12082503
    rs2802292 FOXO3A — 1.0 403 vs 1670 4149 vs 7582 Dutch mean 94 — — Genome-Wide Association Study 21418511
    CYP2D6*3 CYP2D6 — 1.0 552 vs 243 — French mean 101 — — Candidate Region/Gene 9654200
    CYP2D6*4 CYP2D6 — 1.0 523 vs 252 — French mean 101 — — Candidate Region/Gene 9654200
    GSTM1 deletion GSTM1 — 1.0 565 vs 229 — French mean 101 — — Candidate Region/Gene 9654200
    NAT2*5A (C 481 T), NAT2*6A (G 590 A), NAT2*7A (G 857 A), and NAT2*14A (G 191 A) NAT2 — 1.0 188 vs 88 — French mean 101 — — Candidate Region/Gene 9654200
    - PARP1 — 1.0 239 vs 198 — French >100 — — Candidate Region/Gene 9587069
    codon 192 PON1 — 1.0 192 vs 77 — Italian 56 ages 66 to 89, 96 >90 — — Candidate Region/Gene 16799134
    codon 55 PON1 — 1.0 192 vs 77 — Italian 56 ages 66 to 89, 96 >90 — — Candidate Region/Gene 16799134
    11 different snps tested, not all given. MTTP — 1.0 1398 vs 777 — British 77.9 ± 0.2 — — Candidate Region/Gene 17339647
    length (STR polymorphism) TH — 1.0 196 vs 358 471 vs 462 German (in replication) 96-110 years — — Candidate Region/Gene 21407269
    (HLA)-A1, B8, DR3 — — 1.0 93 vs 100 — Irish 80-97 years — — Candidate Region/Gene 12714268
    rs1800629 TNF — 1.0 93 vs 100 — Irish 80-97 years — — Candidate Region/Gene 12714268
    rs909253 TNF — 1.0 93 vs 100 — Irish 80-97 years — — Candidate Region/Gene 12714268
    rs2288377 IGF1 — 1.0 485 vs 392 — Chinese 94.92 — — Candidate Region/Gene 18761080
    rs5742612 IGF1 — 1.0 485 vs 392 — Chinese 94.92 — — Candidate Region/Gene 18761080
    rs35767 IGF1 — 1.0 485 vs 392 — Chinese 94.92 — — Candidate Region/Gene 18761080
    rs17630266 FOXO1 — 1.0 761 vs 1056 350 vs 350 Chinese mean age 102.3 — — Candidate Region/Gene 19793722
    rs1800629 TNF — 1.0 174 vs 224 — Italian >100 — — Candidate Region/Gene 12676903
    rs9340799 ESR1 — 1.0 148 vs 414 — Polish mean age 101.1 — — Candidate Region/Gene 20599431
    rs1799814 CYP1A1 1.16 1.0 205 vs 294 — German 80-89; reference group: 17-79 — — - 15177664
    rs5182 AGTR1 0.97 1.0 173 vs 376 — Italian 99-106 (mean 100.9±1.7) — — Candidate Region/Gene 22569962
    rs5183 AGTR1 0.27 1.0 173 vs 376 — Italian 99-106 (mean 100.9±1.7) — — Candidate Region/Gene 22569962
    rs2153960 FOXO3A — 1.0 1435 vs 2098 — Multiethnic 90+ — — Meta-Analysis 25038186

    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