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


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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
    55 (L/M) PON1 0.94 0.44 308 vs 579 Italian, 296 vs 296 Irish — Irish, Italian Italian 100.8 years, Irish 89.8 years — — Candidate Region/Gene 15050299
    192 (Q/R) PON1 1.30 0.007 308 vs 579 Italian, 296 vs 296 Irish — Irish, Italian Italian 100.8 years, Irish 89.8 years Q — Candidate Region/Gene 15050299
    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
    192/55 loci PON1 — 0.01 579 vs 308 — Italian Over 100 — R+M+ Candidate Region/Gene 12082503
    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
    VNTR polymorphism IL6 0.56 0.07 61 centenarians and 94 middle-aged subjects — Italian 100 years vs. 52 years — — Candidate Region/Gene 17506774
    rs1800795 IL-6 — 0.007 323 (cases) vs 377 (initial) — Italian median age = 101 G C Candidate Region/Gene 11500818
    rs1800795 + (rs429358, rs7412) IL6 + APOE 1.49 0.45 81 vs 122 — Italian Mean age 100.1 — — Candidate Region/Gene 15236771
    rs3779501 PIK3CG — 0.139 122 vs 122 — Japanese mean age 106.8 — — Candidate Region/Gene 15582274
    rs2069827 IL6 — 0.064 1,089 vs 736 563 (longtitudinal study) Danish, Dutch 92+ Danish, 85+ Dutch A — — 22234866
    rs886550 HECW1 1.60 5.75e-05 403 vs 1670 3746 vs 5912 Dutch Mean age 94 — A Genome-Wide Association Study 21418511
    rs2003499 BUD31 1.59 8.07e-05 403 vs 1670 3746 vs 5912 Dutch Mean age 94 — G Genome-Wide Association Study 21418511
    Y318C PMS2 — 0.02 390 vs 410 — Ashkenazi Jewish Centenarians — — Candidate Region/Gene 23376243
    rs4537545 IL6R — 3e-18 308 — American, European, Ashkenazi Jewish 75.7 — — Candidate Region/Gene 19249341
    −675 4G/5G PAI1 0.81 0.04 2224 — American, Caucasian 65+ 5G (men) — Candidate Region/Gene 15939070
    rs4537545 IL6R — 3e-18 308 — American, European, Ashkenazi Jewish 75.7 — — Candidate Region/Gene 19249341
    rs10256972 C7orf50 — 0.00224 1173 vs 570 — American 85-100 — A Genome-Wide Association Study 22533364
    rs7788972 HDAC9 1.09 3.73e-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
    rs11767557 EPHA1 — 0.267 1364 — American, British Age range 50-108; mean age at death 80.2 G A Candidate Region/Gene 22445811
    rs7803143 PSCD3 — 1.57e-05 1364 — American, British Age range 50-108; mean age at death 80.2 C T Genome-Wide Association Study 22445811
    rs4720752 RPA3 — 1.93e-05 1364 — American, British Age range 50-108; mean age at death 80.2 A G Genome-Wide Association Study 22445811
    rs6962026 PSCD3 — 2.07e-05 1364 — American, British Age range 50-108; mean age at death 80.2 T C Genome-Wide Association Study 22445811
    rs10085518 PSCD3 — 4.59e-05 1364 — American, British Age range 50-108; mean age at death 80.2 T C Genome-Wide Association Study 22445811
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    • 25 of 41 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