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


    LVDB_word_cloud.png
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    variants.jpg
    polymorphism factor odds ratio pvalue initial number replication number Population age of cases shorter lived allele longer lived allele study type reference
    Ile119Val PCMT1 — 0.049 40 vs 40 — Ashkenazi Jewish Mean age 87.2 — — Candidate Region/Gene 10496068
    LPA isoform LPA — 0.05 84 (cases) vs 517 — Japanese 80+ Lp(a)F, Lp(a)B — Candidate Region/Gene 11269751
    rs1008438 HSPA1A — 0.005 157 vs 62 — Danish 92.8 A — Candidate Region/Gene 16804002
    rs1008438 HSPA1A — 0.005 157 vs 62 — Danish 92.8 A — Candidate Region/Gene 16804002
    rs1008438 HSPA1A 3.86 0.016 168 cases — Danish Mean age 92.8 +/- 0.4 А — Candidate Region/Gene 20388090
    rs1008438 HSPA1A — 0.009 894 total — Italian 18-109 A C Candidate Region/Gene 16896546
    rs1042663 C2 1.52 0.000169165 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs1044891 FOXO3A 1.17 0.14 298 vs 603;279 vs 797;383 vs 363 — Caucasian 95.3 ± 2.2_x000D_;+M19994.5 ± 2.1_x000D_;mean 97.7, 95– 113 — — Candidate Region/Gene 19489743
    rs1059234 CDKN1A 0.47 0.026 184 vs 184 — Italian 100 T C Candidate Region/Gene 20126416
    rs1061581 HSPA1B — 0.04 157 vs 62 — Danish 92.8 A — Candidate Region/Gene 16804002
    rs1061581 HSPA1L — 0.04 157 vs 62 — Danish 92.8 A — Candidate Region/Gene 16804002
    rs1061581 HSPA1B 2.76 0.039 168 cases — Danish Mean age 92.8 +/- 0.4 А — Candidate Region/Gene 20388090
    rs1061581-rs1043618-rs2227956 — 3.46 0.025 191 vs 53 — Chinese >90 non A-G-C or non A-C-T haplotypes A-G-C Candidate Region/Gene 19840767
    rs1061581-rs1043618-rs2227956 — 4.51 0.016 191 vs 53 — Chinese >90 non A-G-C or non A-C-T haplotypes A-C-T Candidate Region/Gene 19840767
    rs11153598 NT5DC1 1.06 0.00214039 801 vs 914 — Caucasian Median age 104 C A Genome-Wide Association Study 22279548
    rs12200646 FOXO3 1.28 0.064 388 vs 371 535 vs 553 German mean age 98.4 years — — Candidate Region/Gene 19196970
    rs12206094 FOXO3 1.38 0.0076 1089 vs 736 — Danish 92–93 C — Candidate Region/Gene 20849522
    rs1268170 FOXO3 1.24 0.02 388 vs 371 535 vs 553 German mean age 98.4 years — — Candidate Region/Gene 19196970
    rs13217795 FOXO3 — 0.0006 213 vs 402 — Japanese minimum 95; mean 97.9 T — Candidate Region/Gene 18765803
    rs13217795 FOXO3 — 0.05 1089 vs 736 — Danish 92–93 T — Candidate Region/Gene 20849522
    rs13220810 FOXO3 0.78 0.02 388 vs 371 535 vs 553 German mean age 98.4 years — — Candidate Region/Gene 19196970
    rs13220810 FOXO3 0.75 0.0223 1089 vs 736 — Danish 92–93 C — Candidate Region/Gene 20849522
    rs1327474 IFNGR1 (upstream) 1.07 5.4e-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 — T — Genome-Wide Association Study 21782286
    rs1571631 FOXO3 0.99 0.872 388 vs 371 535 vs 553 German mean age 98.4 years — — Candidate Region/Gene 19196970
    rs1799945 HFE — 0.008 57 vs 60 — Italian 100-105 — — Candidate Region/Gene 12714263

    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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