據(jù)7月2日的《科學(xué)》（Science）雜志報(bào)道說(shuō),，科學(xué)家們已經(jīng)在那些活到100歲或以上的人中發(fā)現(xiàn)了一系列的與一般人群相比特別常見(jiàn)的遺傳學(xué)特征,。 這些發(fā)現(xiàn)提出了也許在某一天人們可以預(yù)先知道他們是否有可能活到非常老的年齡的可能性，盡管生活方式的選擇以及環(huán)境因子也是非常重要的因素,。 這些結(jié)果同時(shí)也為人們研究多種基因影響我們?nèi)绾嗡ダ系姆绞酱蛳铝四承┲匾幕A(chǔ),。
Paola Sebastiani及其同僚對(duì)超過(guò)1000名的百歲或百歲以上的老人以及相同數(shù)目的作為對(duì)照的人的基因組進(jìn)行了檢測(cè)。他們找到了在百歲或以上的老人與隨機(jī)選擇的個(gè)人之間有著最大差異的多個(gè)基因標(biāo)志,。 因?yàn)槿艘畹椒浅＠系哪挲g一定會(huì)有多個(gè)基因的參與,，文章的作者接下來(lái)根據(jù)150個(gè)基因標(biāo)志研發(fā)出了一個(gè)可計(jì)算一個(gè)人達(dá)到異常高壽概率的模型。應(yīng)用這一模型,，研究人員可以預(yù)測(cè)某人是否可以活到百歲或以上,，而且精確性達(dá)77%。
提示：生物谷啟用新域名 www.bioon.net
研究人員還將基因預(yù)測(cè)分解成為與超過(guò)100歲的不同壽限相關(guān)及與不同模式的與年齡有關(guān)疾?。ㄖT如癡呆癥,、高血壓和心血管疾病等）相關(guān)的19個(gè)特征組。 未來(lái)對(duì)這些基因特征的研究可使人們了解特異的,、不同模式的健康衰老,，而且它們最終可能會(huì)有助于個(gè)體化醫(yī)學(xué)及量身打造的疾病預(yù)防和治療策略。(生物谷Bioon.net)
金力：中國(guó)長(zhǎng)壽之鄉(xiāng)的基因秘密
HMG：發(fā)現(xiàn)兩個(gè)與長(zhǎng)壽相關(guān)基因
AJE：精子優(yōu)質(zhì)男性更易長(zhǎng)壽
PNAS：FOXO3A基因變異的人更加長(zhǎng)壽
Genes & Development：發(fā)現(xiàn)哺乳動(dòng)物新長(zhǎng)壽基因Cisd2
Neurology：長(zhǎng)壽基因突變還可維護(hù)腦功能
FASEB：長(zhǎng)壽老鼠揭開(kāi)人類衰老的秘密
PNAS：端粒長(zhǎng)度與端粒酶基因變異有關(guān)
生物谷推薦原文出處：
Science DOI: 10.1126/science.1190532
Genetic Signatures of Exceptional Longevity in Humans
Paola Sebastiani,1,* Nadia Solovieff,1 Annibale Puca,2 Stephen W. Hartley,1 Efthymia Melista,3 Stacy Andersen,4 Daniel A. Dworkis,3 Jemma B. Wilk,5 Richard H. Myers,5 Martin H. Steinberg,6 Monty Montano,3 Clinton T. Baldwin,6,7 Thomas T. Perls4,*
Healthy aging is thought to reflect the combined influence of environmental factors (lifestyle choices) and genetic factors. To explore the genetic contribution, we undertook a genome-wide association study of exceptional longevity (EL) in 1055 centenarians and 1267 controls. Using these data, we built a genetic model that includes 150 single-nucleotide polymorphisms (SNPs) and found that it could predict EL with 77% accuracy in an independent set of centenarians and controls. Further in silico analysis revealed that 90% of centenarians can be grouped into 19 clusters characterized by different combinations of SNP genotypes—or genetic signatures—of varying predictive value. The different signatures, which attest to the genetic complexity of EL, correlated with differences in the prevalence and age of onset of age-associated diseases (e.g., dementia, hypertension, and cardiovascular disease) and may help dissect this complex phenotype into subphenotypes of healthy aging.
1 Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA.
2 IRCCS Multimedica, Milano, Italy; Istituto di Tecnologie Biomediche, Consiglio Nazionale delle Ricerche, Segrate, 20122, Italy.
3 Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA.
4 Section of Geriatrics, Department of Medicine, Boston University School of Medicine and Boston Medical Center, Boston, MA 02118, USA.
5 Department of Neurology, Boston University School of Medicine, Boston, MA 02118, USA.
6 Departments of Medicine and Pediatrics, Boston University School of Medicine and Boston Medical Center, Boston, MA 02118, USA.
7 Center for Human Genetics, Boston University School of Medicine, Boston, MA 02118, USA.
