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
    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
    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
    rs6670 IGFBP3 1.02 0.75 319 vs 603;279 vs 797;383 vs 363 — Caucasian 95.3 ± 2.2_x000D_;+M19994.5 ± 2.1_x000D_;mean 97.7, 95– 134 — — Candidate Region/Gene 19489743
    rs1800795 + (rs429358, rs7412) IL6 + APOE 1.49 0.45 81 vs 122 — Italian Mean age 100.1 — — Candidate Region/Gene 15236771
    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
    rs11767557 EPHA1 — 0.267 1364 — American, British Age range 50-108; mean age at death 80.2 G A Candidate Region/Gene 22445811
    rs1800795 IL6 — 0.23 250 vs 400 — Finn >90 — — Candidate Region/Gene 11640949
    rs2228078 GHRHR 1.48 0.21 314 vs 603;279 vs 797;383 vs 363 — Caucasian 95.3 ± 2.2_x000D_;+M19994.5 ± 2.1_x000D_;mean 97.7, 95– 129 — — Candidate Region/Gene 19489743
    rs3779501 PIK3CG — 0.139 122 vs 122 — Japanese mean age 106.8 — — Candidate Region/Gene 15582274
    VNTR polymorphism IL6 0.56 0.07 61 centenarians and 94 middle-aged subjects — Italian 100 years vs. 52 years — — Candidate Region/Gene 17506774
    rs2069827 IL6 — 0.064 1,089 vs 736 563 (longtitudinal study) Danish, Dutch 92+ Danish, 85+ Dutch A — — 22234866
    −675 4G/5G PAI1 0.81 0.04 2224 — American, Caucasian 65+ 5G (men) — Candidate Region/Gene 15939070
    Y318C PMS2 — 0.02 390 vs 410 — Ashkenazi Jewish Centenarians — — Candidate Region/Gene 23376243
    rs7799039 LEP — 0.02 110 vs 120 — Jordanian mean age 90.2 years C A Candidate Region/Gene 20201642
    rs1800795 IL-6 — 0.018 285 — Finn 90-95 C G Candidate Region/Gene 15664628
    192/55 loci PON1 — 0.01 579 vs 308 — Italian Over 100 — R+M+ Candidate Region/Gene 12082503
    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
    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
    rs1800795 IL-6 — 0.007 323 (cases) vs 377 (initial) — Italian median age = 101 G C Candidate Region/Gene 11500818
    rs327519 PAX4 (for males) 5.70 0.004 137 vs 213 — Korean Mean age 90 — G Genome-Wide Association Study 19641380
    rs4729049 CDK6 1.36 0.003946549 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs2072454, rs2293347, rs3807362, rs884225 EGFR (for females) 4.11 0.003 137 vs 213 — Korean Mean age 90 — CGCA Genome-Wide Association Study 19641380
    rs10256972 C7orf50 — 0.00224 1173 vs 570 — American 85-100 — A Genome-Wide Association Study 22533364
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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

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