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 (344)   No Age Effect (382)  
  • Study type: + -
    Candidate Region/Gene « 
  • Variant type: + -
    SNP (375)   Locus (3)   Haplotype (53)   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
    rs1800629 TNFa — 0.168 See Description for details — Italian Comparison 1: 66-91. Comparison 2: >88 — — Candidate Region/Gene 21865054
    rs361525 TNFa — 0.156 See Description for details — Italian Comparison 1: 66-91. Comparison 2: >88 — — Candidate Region/Gene 21865054
    192 PON1 1.26 0.007 Italian: 308 vs 579; Northern Irish: 296 vs 296 — Irish Italian: Mean age 100.8 +/- 2.1; Northern Irish: Mean age 89.8 +/- 5.7 Q — Candidate Region/Gene 15050299
    rs2542052 APOC3 — 0.0001 Centenarians (n = 213) their offspring (n = 216) vs 258 — Ashkenazi Jewish mean age 98.2 A — Candidate Region/Gene 16602826
    Haplogroup J — 0.38 0.025 98 vs 117 — Chinese 90–100 — — Candidate Region/Gene 18759861
    rs2853826 MT-ND3 — 0.219 98 vs 117 — Chinese 90–100 A — Candidate Region/Gene 18759861
    rs3928306 MT-RNR2 0.49 0.027 98 vs 117 — Chinese 90–100 A — Candidate Region/Gene 18759861
    rs28359172 MT-ND5 0.30 0.003 98 vs 117 — Chinese 90–100 G — Candidate Region/Gene 18759861
    rs73598374 ADA 0.32 0.0056 97 vs 261 — Italian >88 G*/G* A*+ Candidate Region/Gene 21865054
    5178 adenine/cytosine ND2 — 0.363 95 vs 298 — Chinese 76.2±5.0 C — Candidate Region/Gene 12384792
    mt5178A ND2 — 0.05 95 vs 105 — Chinese Mean age 76 — АА Candidate Region/Gene 12384792
    GSTT1 deletion GSTT1 — 0.03 94 vs 418 — Italian Mean age 100.2 Not homozygous for d Homozygous for delet Candidate Region/Gene 11162685
    - CYP1A — 0.68 94 vs 418 — Italian 100 years vs 46 years — — Candidate Region/Gene 11162685
    KIR2DS3 KIR2DS3 — 0.02 93 vs 100 89 vs 89 Irish 80-97 — — Candidate Region/Gene 15288696
    KIR2DL5 KIR2DL5 — 0.03 93 vs 100 89 vs 89 Irish 80-97 — — Candidate Region/Gene 15288696
    (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
    Cdx2–GATA haplotypes VDR — 0.05 923 — Dutch Mean age 75.7 GG GA, AA Candidate Region/Gene 21051524
    rs1042522 TP53 0.88 0.005 9219 participants (Copenhagen City Heart Study) — Danish Range: 20-95 G — Candidate Region/Gene 18256523
    rs11235972 UCP3 — 0.029 908 vs 708 — Danish 93 A — Candidate Region/Gene 22743239
    rs1685354 UCP3 — 0.762 908 vs 708 — Danish 93 — — Candidate Region/Gene 22743239
    rs3781907 UCP3 — 0.05 908 vs 708 — Danish 93 G — Candidate Region/Gene 22743239
    rs647126 UCP3 — 0.447 908 vs 708 — Danish 93 — — Candidate Region/Gene 22743239
    rs11235972 UCP3 — 0.029 908 (1905 Cohort) vs 708 (Study of Middle-Aged Danish Twins (MADT)) — Danish 93 A — Candidate Region/Gene 22743239
    • Page 1 of 32
    • 25 of 784 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