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
    5-HTTLPR SLC6A4 — 0.03 15 male, 53 female centenarians (cases) — Australian, Caucasian 101.0 ± 0.2 L/L (only for males) — Candidate Region/Gene 22985157
    rs4646994 ACE 2.25 0.003 834 — Brazilian 10-104 I D (only for Gaucho population) Candidate Region/Gene 14528043
    rs4340 ACE — 0.001 301 vs 172 — Croatian mean age 88.2 I D Candidate Region/Gene 21614448
    5-HTTLPR SLC6A4 — 0.03 15 male, 53 female centenarians (cases) — Australian, Caucasian 101.0 ± 0.2 L/L (only for males) — Candidate Region/Gene 22985157
    rs1009728 IGFBP4 1.08 0.24 320 vs 603;279 vs 797;383 vs 363 — Caucasian 95.3 ± 2.2_x000D_;+M19994.5 ± 2.1_x000D_;mean 97.7, 95– 135 — — Candidate Region/Gene 19489743
    rs7214466 IGFBP4 0.90 0.094 321 vs 603;279 vs 797;383 vs 363 — Caucasian 95.3 ± 2.2_x000D_;+M19994.5 ± 2.1_x000D_;mean 97.7, 95– 136 — — Candidate Region/Gene 19489743
    rs9899404 GIP 1.30 1.09e-05 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs7207422 ACCN1 1.34 0.000206202 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs9916344 PITPNM3 1.19 0.000353663 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs1005321 HS3ST3B1 1.17 0.000337804 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs3816754 RAD51L3 1.68 0.000836276 801 vs 914 — Caucasian Median age 104 A C Genome-Wide Association Study 22279548
    rs205499 TRIM25 1.29 0.000424485 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs9894254 CARD14 1.77 0.000864702 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    ACE D/I ACE — 0.02 689 — Danish Minimum age 73 II DI, DD Candidate Region/Gene 12547486
    rs1042522 TP53 0.88 0.005 9219 participants (Copenhagen City Heart Study) — Danish Range: 20-95 G — Candidate Region/Gene 18256523
    rs4646994 ACE — 0.04 227 Uighur individuals, 108 Kazakh individuals, and 89 Han individuals — Chinese Old: 59-70, Very old 90-113 I (insertion) — Candidate Region/Gene 11773214
    rs4646994 ACE — 0.05 4000 — Chinese Minimum age 65 DD — Candidate Region/Gene 22456784
    rs4646994 ACE — 0.849 399 vs 302 — Chinese >90 years — — Candidate Region/Gene 19502260
    mt5178A ND2 — 0.05 95 vs 105 — Chinese Mean age 76 — АА Candidate Region/Gene 12384792
    rs1799752 ACE — 0.016 12 vs 190 vs 105 — Greek 99-111 D I Candidate Region/Gene 23389097
    TP53 TP53 — 1.0 224 vs 441 — Ashkenazi Jewish 75 — — Candidate Region/Gene 15621215
    SLC6A4 SLC6A4 — 1.0 224 vs 441 — Ashkenazi Jewish 75 — — Candidate Region/Gene 15621215
    rs4340 ACE 1.90 0.001 300 vs 160 — French 100+ I D Candidate Region/Gene 8136829
    rs1799752 ACE — 0.025 394 vs 238 — French 100.6 years Insertion — Candidate Region/Gene 9761238
    I/D (insertion/deletion) ACE — 0.33 560 vs 560 — French centenarians 100th year or beyond, mean age 103.1 — — Candidate Region/Gene 11280044
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    • 25 of 36 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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