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Nature genetics · 2019

Genome-wide meta-analysis identifies new loci and functional pathways influencing Alzheimer's disease risk.

СтатьяМетаанализПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод пока не подготовлен
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Jansen Iris E, Savage Jeanne E, Watanabe Kyoko, Bryois Julien, Williams Dylan M, Steinberg Stacy, Sealock Julia, Karlsson Ida K, Hägg Sara, Athanasiu Lavinia, Voyle Nicola, Proitsi Petroula, Witoelar Aree, Stringer Sven, Aarsland Dag, Almdahl Ina S, Andersen Fred, Bergh Sverre, Bettella Francesco, Bjornsson Sigurbjorn, Brækhus Anne, Bråthen Geir, de Leeuw Christiaan, Desikan Rahul S, Djurovic Srdjan, Dumitrescu Logan, Fladby Tormod, Hohman Timothy J, Jonsson Palmi V, Kiddle Steven J, Rongve Arvid, Saltvedt Ingvild, Sando Sigrid B, Selbæk Geir, Shoai Maryam, Skene Nathan G, Snaedal Jon, Stordal Eystein, Ulstein Ingun D, Wang Yunpeng, White Linda R, Hardy John, Hjerling-Leffler Jens, Sullivan Patrick F, van der Flier Wiesje M, Dobson Richard, Davis Lea K, Stefansson Hreinn, Stefansson Kari, Pedersen Nancy L, Ripke Stephan, Andreassen Ole A, Posthuma Danielle

Аннотация

Alzheimer's disease (AD) is highly heritable and recent studies have identified over 20 disease-associated genomic loci. Yet these only explain a small proportion of the genetic variance, indicating that undiscovered loci remain. Here, we performed a large genome-wide association study of clinically diagnosed AD and AD-by-proxy (71,880 cases, 383,378 controls). AD-by-proxy, based on parental diagnoses, showed strong genetic correlation with AD (rg = 0.81). Meta-analysis identified 29 risk loci, implicating 215 potential causative genes. Associated genes are strongly expressed in immune-related tissues and cell types (spleen, liver, and microglia). Gene-set analyses indicate biological mechanisms involved in lipid-related processes and degradation of amyloid precursor proteins. We show strong genetic correlations with multiple health-related outcomes, and Mendelian randomization results suggest a protective effect of cognitive ability on AD risk. These results are a step forward in identifying the genetic factors that contribute to AD risk and add novel insights into the neurobiology of AD.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты