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


    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
    mtDNA haplotype — — 0.0052 212 vs 275 — Italian 100+ non-J haplogroups — Mitochondrial Haplogroup 10463944
    mt146 C>T — — 0.005 113 (cases) vs 200 — Chinese 90-110 mt146T mt146C Complete Mitochondrial Genome 22729909
    rs1333049 — 0.64 0.001 80 (cases) vs 258 healthy young — Human 100–104 C — Candidate Region/Gene 20230275
    apoE haplotypes — — 0.02 80 vs 391 — Greek 80+ Apo e4 — Candidate Region/Gene 17234815
    apoE haplotypes — — 0.0042 3924 — American 5-70 Apo e4 — Candidate Region/Gene 21332925
    82133 G>A — — 0.0189 33 vs 39 — Japanese 90+ A — Candidate Region/Gene 15820493
    G/A-IGF1R, Gly/Asp-IRS2, and Ala/Val-UCP2 allele combination — 3.19 0.0006 208 vs 514 — Italian Mean age 96 non-AAV allele combi AAV allele combinati Candidate Region/Gene 21340542
    IL6 VNTR A/B/C/D — 0.56 0.05 61 vs 94 — Italian Mean age 100 B non-B Candidate Region/Gene 17506774
    (HLA)-A1, B8, DR3 — — 1.0 93 vs 100 — Irish 80-97 years — — Candidate Region/Gene 12714268
    rs16928120 — — 0.00057 1600 samples (cases and controls combined) — German, Italian — — — Candidate Region/Gene 19367319
    rs4073591 — — 0.05 see notes; stratified by population; total = 1321 cases versus 1140 controls — French, German, Italian centenarians; see notes — — - 19367319
    rs4930001 — — 0.05 see notes; stratified by population; total = 1321 cases versus 1140 controls — French, German, Italian centenarians; see notes — — - 19367319
    rs16928120 — — 0.05 see notes; stratified by population; total = 1321 cases versus 1140 controls — French, German, Italian centenarians; see notes — — - 19367319
    I carriers of ACE — — 0.045 12 vs 190 vs 105 — Greek 99-111 — — Candidate Region/Gene 23389097
    XRCC3 intron 3 STR — — 0.0005 430 (case) vs 290 — British Mean age 70 15 13 Candidate Region/Gene 16518718
    XRCC5 120 bp 5` (GAPyA)n STR — — 0.0005 430 (case) vs 290 — British Mean 70 16+2 15 Candidate Region/Gene 16518718
    marker D4S1564 — — 0.044 308 — European min. age 98 for one sibling. 91+ males, 95+ females — — Genome-Wide Association Study 11526246
    Haplogroup J — 0.38 0.025 98 vs 117 — Chinese 90–100 — — Candidate Region/Gene 18759861
    J mtDNA haplogroup — — 0.027 138 vs 138 — Spaniard >85 (oldest age group) — — — 18931934
    3p24.2–22.3 — — 0.037 632 (total) — Caucasian By Expected age of death: Male 90-100, Female 95-104 — — Genome-Wide Association Study 20824210
    9q31.3–34.2 — — 0.054 632 (total) — Caucasian By Expected age of death: Male 90-100, Female 95-104 — — Genome-Wide Association Study 20824210
    mtDNA C150T — — 0.936 556 vs 403 — Chinese 90–108 (94.59±3.34) — — Candidate Region/Gene 21262335
    rs3811952, rs155979, rs3762985 — 0.54 0.008 137 vs 213 — Korean Mean age 90 CGA — Genome-Wide Association Study 19641380
    rs712700 — 1.87 0.01 137 vs 213 — Korean Mean age 90 — G Genome-Wide Association Study 19641380
    rs327512 — 5.55 0.005 137 vs 213 — Korean Mean age 90 — G Genome-Wide Association Study 19641380
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    • 25 of 1635 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