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.):


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    Populations | Study Types | Variant Types



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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
    - 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
    rs2853826 MT-ND3 0.219 98 vs 117 Chinese 90–100 A Candidate Region/Gene 18759861
    5178 adenine/cytosine ND2 0.363 95 vs 298 Chinese 76.2±5.0 C Candidate Region/Gene 12384792
    mt5178A ND2 0.05 95 vs 105 Chinese Mean age 76 АА Candidate Region/Gene 12384792
    - GSTM1 0.74 94 vs 418 Italian 100 years vs 46 years - 11162685
    (HLA)-A1, B8, DR3 1.0 93 vs 100 Irish 80-97 years Candidate Region/Gene 12714268
    rs1800629 TNF 1.0 93 vs 100 Irish 80-97 years Candidate Region/Gene 12714268
    rs909253 TNF 1.0 93 vs 100 Irish 80-97 years Candidate Region/Gene 12714268
    rs884949 ADARB2 1.19 0.0911 877 vs 1808 Southern Italian, age 90–109 (median 96): 459 vs 429. Ashkenazi Jewish, age 95–112 (median 100): 299 vs 269. Japanese, age 100-116 (median 106): 470 vs 538. Northern European 96–119 (median: 103) AA 20011587
    rs2805533 ADARB2 0.91 0.1904 877 vs 1808 Southern Italian, age 90–109 (median 96): 459 vs 429. Ashkenazi Jewish, age 95–112 (median 100): 299 vs 269. Japanese, age 100-116 (median 106): 470 vs 538. Northern European 96–119 (median: 103) AA/AG 20011587
    rs2387653 ADARB2 1.17 0.1053 877 vs 1808 Southern Italian, age 90–109 (median 96): 459 vs 429. Ashkenazi Jewish, age 95–112 (median 100): 299 vs 269. Japanese, age 100-116 (median 106): 470 vs 538. Northern European 96–119 (median: 103) AA 20011587
    rs189037 ATM 0.004 875 vs 886 Chinese mean 94.6 CT Candidate Region/Gene 20816691
    rs2275075 LMNA 0.54 873 vs 443 New England Centenarian Study: 545 vs 193; French: 557 vs 546; Southern Italian Centenarian Study: 455 vs 450; Ashkenazi Jewish: 354 vs 348 American, Caucasian Mean age 101.5 Candidate Region/Gene 22340368
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    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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