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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    polymorphism factor odds ratio pvalue initial number replication number Population age of cases shorter lived allele longer lived allele study type reference
    Arg 213 ->His SULT1A1 — 0.017 Total 165 — Nigerian, Caucasian range 17- 90 SULT1A1*2 — — 9854023
    - HRAS1 — 0.05 see notes; stratified by population; total = 1321 cases versus 1140 controls 1 (specifically for SIRT3 in a French population) French, German, Italian centenarians; see notes — — - 19367319
    - SIRT3 — 0.145 see notes; stratified by population; total = 1321 cases versus 1140 controls — French, German, Italian centenarians; see notes — — - 19367319
    - TH — 0.05 see notes; stratified by population; total = 1321 cases versus 1140 controls — French, German, Italian centenarians; see notes — — - 19367319
    - INS — 0.05 see notes; stratified by population; total = 1321 cases versus 1140 controls — French, German, Italian centenarians; see notes — — - 19367319
    - IGF2 — 0.05 see notes; stratified by population; total = 1321 cases versus 1140 controls — French, German, Italian centenarians; see notes — — - 19367319
    rs4073591 — — 0.05 see notes; stratified by population; total = 1321 cases versus 1140 controls — French, German, Italian centenarians; see notes — — - 19367319
    rs4073590 DEAF1 — 0.05 see notes; stratified by population; total = 1321 cases versus 1140 controls — French, German, Italian centenarians; see notes — — - 19367319
    rs11040489 KRTAP5-6 — 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
    rs800140 TSPAN32 — 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
    rs1800629 TNFa — 0.168 See Description for details — Italian Comparison 1: 66-91. Comparison 2: >88 — — Candidate Region/Gene 21865054
    rs361525 TNFa — 0.156 See Description for details — Italian Comparison 1: 66-91. Comparison 2: >88 — — Candidate Region/Gene 21865054
    192 PON1 1.26 0.007 Italian: 308 vs 579; Northern Irish: 296 vs 296 — Irish Italian: Mean age 100.8 +/- 2.1; Northern Irish: Mean age 89.8 +/- 5.7 Q — Candidate Region/Gene 15050299
    rs2542052 APOC3 — 0.0001 Centenarians (n = 213) their offspring (n = 216) vs 258 — Ashkenazi Jewish Mean age 98.2 A — — 16602826
    rs5882 CETP — 0.069 Centenarians (n = 213) their offspring (n = 216) vs 258 — Ashkenazi Jewish Mean age 98.2 A — — 16602826
    rs2542052 APOC3 — 0.0001 Centenarians (n = 213) their offspring (n = 216) vs 258 — Ashkenazi Jewish mean age 98.2 A — Candidate Region/Gene 16602826
    9 mtDNA haplogroups mtDNA haplogroup 0.38 0.025 98 vs. 117 — Chinese 90-100 years old J non-J - 18759861
    Haplogroup J — 0.38 0.025 98 vs 117 — Chinese 90–100 — — Candidate Region/Gene 18759861
    rs2853826 MT-ND3 — 0.219 98 vs 117 — Chinese 90–100 A — Candidate Region/Gene 18759861
    rs3928306 MT-RNR2 0.49 0.027 98 vs 117 — Chinese 90–100 A — Candidate Region/Gene 18759861
    rs28359172 MT-ND5 0.30 0.003 98 vs 117 — Chinese 90–100 G — Candidate Region/Gene 18759861
    rs73598374 ADA 0.32 0.0056 97 vs 261 — Italian >88 G*/G* A*+ Candidate Region/Gene 21865054
    5178 adenine/cytosine ND2 — 0.363 95 vs 298 — Chinese 76.2±5.0 C — Candidate Region/Gene 12384792
    • Page 1 of 66
    • 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

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