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 (84)   No Age Effect (161)  
  • Study type: + -
    ‑ (14)   Candidate Region/Gene (180)   Genome‑Wide Association Study (67)   Mitochondrial Haplogroup (1)  
  • Variant type: + -
    SNP (157)   Haplotype (23)   Other (1)   STR (1)   Deletion (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
    rs699947-(−1190G/A)-rs1570360-(−634G/C) VEGFA — 0.03 — 332 vs 648 Italian 85-99 (mean 89.8±2.8) non A-A-G-G haplotypes A-A-G-G Candidate Region/Gene 17574707
    rs662 PON1 1.06 0.11 — — Danish, Dutch, French, German, Italian, Tatar >/=80 — — Candidate Region/Gene 20362697
    rs1042522 TP53 0.57 0.006 100 very old vs 280 old vs 189 young — Italian 91+ (very old), 73-91 (old) G C Candidate Region/Gene 23125046
    rs1042522 TP53 0.57 0.006 100 very old vs 280 old vs 189 young — Italian 91+, 73-91 P — Candidate Region/Gene 23125046
    HP 1/2 HP 1.27 0.0194 1072 total — Italian >88 HP*2 HP*1 Candidate Region/Gene 21147083
    HP*1 F/S HP 0.82 0.33 1072 total — Italian >88 — — Candidate Region/Gene 21147083
    rs2234693 ESR1 — 0.08 108 vs 85 — Italian 90+ PP (genotype) — Candidate Region/Gene 20819792
    rs4646 CYP19 1.90 0.04 108 vs 85 — Italian 90+ — T Candidate Region/Gene 20819792
    rs9340799 ESR1 — 0.22 108 vs 85 — Italian 90+ — — Candidate Region/Gene 20819792
    rs2234693 - rs2234693 ESR1 — 0.12 108 vs 85 — Italian 90+ — — Candidate Region/Gene 20819792
    --1082G-->A IL10 — 0.0001 109 (oldest old men) vs 263 (healthy controls) — Italian >95 A — Candidate Region/Gene 15466015
    rs6166 FSHR 4.21 0.036 114 vs 173 — Italian >/=90 Asn Ser Candidate Region/Gene 22985084
    rs1801282 PPARG 0.13 0.03 114 vs 173 — Italian >/=90 Pro/Ala Pro/Pro, Ala/Ala Candidate Region/Gene 22985084
    (A/C)−110 HSP70-1 0.40 0.005 120 vs 471 — Italian 100 years and above A — Candidate Region/Gene 14501185
    rs189037 ATM 1.85 0.028 128 vs 150 — Italian — — — - 22960875
    rs189037 ATM 1.45 0.12 128 vs 150 — Italian Mean age 98.7 +/- 5.1 — — Candidate Region/Gene 22960875
    CHIT1 24-bp duplication CHIT1 — 0.05 129 vs 129 29 versus 129 Tunisian, Greek, Italian Mean age 97.6 Absence of duplication Presence of duplication Candidate Region/Gene 19881466
    many SNPs TH — 0.05 1321 vs 1140 — Italian Mean age 101.9 (southern Italian), 101.0 (northern-central Italian), 104.41 (German), 103.1 (French) — — Candidate Region/Gene 19367319
    many SNPs IGF2 — 0.05 1321 vs 1140 — Italian Mean age 101.9 (southern Italian), 101.0 (northern-central Italian), 104.41 (German), 103.1 (French) — — Candidate Region/Gene 19367319
    many SNPs INS — 0.05 1321 vs 1140 — Italian Mean age 101.9 (southern Italian), 101.0 (northern-central Italian), 104.41 (German), 103.1 (French) — — Candidate Region/Gene 19367319
    many SNPs HRAS1 — 0.05 1321 vs 1140 — Italian Mean age 101.9 (southern Italian), 101.0 (northern-central Italian), 104.41 (German), 103.1 (French) — — Candidate Region/Gene 19367319
    rs28969505 YTHDF2 — 0.047 136 vs 275 — Italian Mean age 101 — 15-15 (205 bp) Candidate Region/Gene 16799135
    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
    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
    rs1800896 IL-10 3.00 0.0003 142 vs 153 — Italian Mean age 67 AA GG Candidate Region/Gene 15466015
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    • 25 of 263 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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