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 « 
  • Study type: + -
    GWAS (2)   ‑ (8)   Candidate Region/Gene (344)   Meta‑Analysis (30)   Complete Mitochondrial Genome (1)   Genome‑Wide Association Study (607)   Mitochondrial Haplogroup (7)   Mitochondrial genome (3)  
  • Variant type: + -
    SNP (243)   Locus (3)   Haplotype (39)   STR (3)   Deletion (1)   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
    rs5882 CETP — 0.069 Centenarians (n = 213) their offspring (n = 216) vs 258 — Ashkenazi Jewish Mean age 98.2 A — — 16602826
    rs2297518 NOS2 — 0.066 321 vs 442 — Italian 89-107 — — Candidate Region/Gene 23572278
    rs12200646 FOXO3 1.28 0.064 388 vs 371 535 vs 553 German mean age 98.4 years — — Candidate Region/Gene 19196970
    A/G IGF2 — 0.063 (150 m, 74 f) vs (121 m, 320 f) — Ashkenazi Jewish Mean age 75 — A, AA Candidate Region/Gene 15621215
    ApaI IGF2 — 0.063 224 vs 441 — Ashkenazi Jewish 75 G A Candidate Region/Gene 15621215
    rs1801133 MTHFR — 0.06 564 vs. 374 — French mean age 100.71 TT CT, CC Candidate Region/Gene 9106548
    12358G,5417A,10873T mtDNA — 0.058 463 vs 1389 — Chinese >/=95 — — Mitochondrial Haplogroup 19641616
    rs2485662 LMNA — 0.054 873 vs 443 (initial) New England Centenarian Study: 545 vs 193; French: 557 vs 546; Southern Italian Centenarian Study: 455 vs 450; Ashkenazi Jewish: 354 vs 348 (replication) Mean age 101.5 — — Candidate Region/Gene 22340368
    rs1468772 LMNA 1.17 0.054 873 vs 443 (initial) New England Centenarian Study: 545 vs 193; French: 557 vs 546; Southern Italian Centenarian Study: 455 vs 450; Ashkenazi Jewish: 354 vs 348 (replication) American, Caucasian Mean age 101.5 — — Candidate Region/Gene 22340368
    IL6 VNTR A/B/C/D — 0.56 0.05 61 vs 94 — Italian Mean age 100 B non-B Candidate Region/Gene 17506774
    rs2866164 MTP — 0.05 205 vs 288 — Ashkenazi Jewish Mean age 97 non-CC CC Candidate Region/Gene 22496539
    IL10 haplotypes IL10 — 0.05 60 vs 60 — Bulgarian Age range: 65-99 — −1082G, −819C, -592C Candidate Region/Gene 21299522
    IL10 haplotypes IL10 — 0.05 237 vs 90 — Turkish Age range: 65-99 — −1082G, −819C, −592C Candidate Region/Gene 21299522
    TGFB1 haplotypes TGFB1 — 0.05 297 vs 130 — Turkish, Bulgarian Age range: 65-99 codon 10 C/C, codon 25 G/G — Candidate Region/Gene 21299522
    TGFB1 haplotypes TGFB1 — 0.05 60 vs 40 — Bulgarian Age range: 65-99 codon 10 C/C, codon 25 G/G; −988 C/C, −800 G/G — Candidate Region/Gene 21299522
    KIR2DS3 haplotypes KIR2DS3 — 0.05 100 vs 100 — Irish Age range: 65-99 — — Candidate Region/Gene 21299522
    rs3781907 UCP3 — 0.05 908 (1905 Cohort) vs 708 (Study of Middle-Aged Danish Twins (MADT)) — Danish 93 G — Candidate Region/Gene 22743239
    HinfI347 APOA4 — 0.05 71 vs 100 — Italian mean102.3 years — — Candidate Region/Gene 9622284
    rs2866164 MTTP — 0.05 126 vs 288 — Ashkenazi Jewish median age = 97 CG/GG — Candidate Region/Gene 22496539
    APOC3 T455C APOC3 — 0.05 147 elderly individuals (70–106 years old) — Russian mean age: 84.6 years — — Candidate Region/Gene 11193221
    Apo C-I 1>2 Apo C-I — 0.05 282 vs 200 — British 84+ Apo C-I 2 — Candidate Region/Gene 9105559
    Cdx2–GATA haplotypes VDR — 0.05 923 — Dutch Mean age 75.7 GG GA, AA Candidate Region/Gene 21051524
    rs4646994 ACE — 0.05 4000 — Chinese Minimum age 65 DD — Candidate Region/Gene 22456784
    rs675 APOA4 — 0.05 58 vs 100 — Italian Mean age 102,3 — A (NCBI) Candidate Region/Gene 9622284
    rs5882 CETP — 0.05 300 vs 320 vs 258 — Ashkenazi Jewish Minimum age 95 AA, AG GG Candidate Region/Gene 15621216

    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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