{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,23]],"date-time":"2026-07-23T11:32:35Z","timestamp":1784806355836,"version":"3.55.0"},"reference-count":101,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,4,1]],"date-time":"2023-04-01T00:00:00Z","timestamp":1680307200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100010014","name":"Six Talent Peaks Project in Jiangsu Province","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100010014","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010031","name":"Postdoctoral Research Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100010031","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010246","name":"Postdoctoral Science Foundation of Jiangsu Province","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100010246","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012217","name":"Xuzhou Medical University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012217","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013139","name":"Humanities and Social Science Fund of Ministry of Education of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100013139","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Neurobiology of Aging"],"published-print":{"date-parts":[[2023,4]]},"DOI":"10.1016\/j.neurobiolaging.2022.12.012","type":"journal-article","created":{"date-parts":[[2022,12,31]],"date-time":"2022-12-31T17:35:52Z","timestamp":1672508152000},"page":"117-128","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":8,"special_numbering":"C","title":["Genetic correlation and gene-based pleiotropy analysis for four major neurodegenerative diseases with summary statistics"],"prefix":"10.1016","volume":"124","author":[{"given":"Jiahao","family":"Qiao","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ting","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhonghe","family":"Shao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yiyang","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Meng","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuiping","family":"Huang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ping","family":"Zeng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.neurobiolaging.2022.12.012_bib0001","doi-asserted-by":"crossref","first-page":"7060","DOI":"10.1038\/ncomms8060","article-title":"A Mendelian randomization study of the effect of type-2 diabetes on coronary heart disease","volume":"6","author":"Ahmad","year":"2015","journal-title":"Nat. Commun."},{"issue":"2","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0002","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1016\/j.ajhg.2013.01.001","article-title":"Improved detection of common variants associated with schizophrenia by leveraging pleiotropy with cardiovascular-disease risk factors","volume":"92","author":"Andreassen","year":"2013","journal-title":"Am. J. Hum. Genet."},{"issue":"37","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0003","doi-asserted-by":"crossref","first-page":"19235","DOI":"10.1074\/jbc.R116.746032","article-title":"A Greek tragedy: the growing complexity of alzheimer amyloid precursor protein proteolysis","volume":"291","author":"Andrew","year":"2016","journal-title":"J. Biol. Chem."},{"key":"10.1016\/j.neurobiolaging.2022.12.012_bib0004","doi-asserted-by":"crossref","first-page":"104","DOI":"10.1016\/j.ajhg.2014.12.004","article-title":"Genome-wide comparative analysis of atopic dermatitis and psoriasis gives insight into opposing genetic mechanisms","volume":"96","author":"Baurecht","year":"2015","journal-title":"Am. J. Hum. Genet."},{"issue":"6","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0005","doi-asserted-by":"crossref","first-page":"777","DOI":"10.1007\/s00401-013-1125-6","article-title":"Protein aggregation in amyotrophic lateral sclerosis","volume":"125","author":"Blokhuis","year":"2013","journal-title":"Acta Neuropathol. (Berl.)"},{"issue":"6","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0006","first-page":"1961","article-title":"Assessing the suitability of summary data for two-sample Mendelian randomization analyses using MR-Egger regression: the role of the I2 statistic","volume":"45","author":"Bowden","year":"2016","journal-title":"Int. J. Epidemiol."},{"issue":"2","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0007","doi-asserted-by":"crossref","first-page":"512","DOI":"10.1093\/ije\/dyv080","article-title":"Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression","volume":"44","author":"Bowden","year":"2015","journal-title":"Int. J. Epidemiol."},{"issue":"4","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0008","doi-asserted-by":"crossref","first-page":"304","DOI":"10.1002\/gepi.21965","article-title":"Consistent estimation in mendelian randomization with some invalid instruments using a weighted median estimator","volume":"40","author":"Bowden","year":"2016","journal-title":"Genet. Epidemiol."},{"issue":"11","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0009","doi-asserted-by":"crossref","first-page":"1236","DOI":"10.1038\/ng.3406","article-title":"An atlas of genetic correlations across human diseases and traits","volume":"47","author":"Bulik-Sullivan","year":"2015","journal-title":"Nat. Genet."},{"issue":"5","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0010","doi-asserted-by":"crossref","first-page":"2333","DOI":"10.1177\/0962280215597579","article-title":"A review of instrumental variable estimators for Mendelian randomization","volume":"26","author":"Burgess","year":"2017","journal-title":"Stat. Methods Med. Res."},{"issue":"5","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0011","doi-asserted-by":"crossref","first-page":"377","DOI":"10.1007\/s10654-017-0255-x","article-title":"Interpreting findings from Mendelian randomization using the MR-Egger method","volume":"32","author":"Burgess","year":"2017","journal-title":"Eur. J. Epidemiol."},{"issue":"9","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0012","doi-asserted-by":"crossref","first-page":"1100","DOI":"10.3390\/genes11091100","article-title":"Identifying risk genes and interpreting pathogenesis for Parkinson\u2019s disease by a multiomics analysis","volume":"11","author":"Cheng","year":"2020","journal-title":"Genes"},{"issue":"4","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0013","doi-asserted-by":"crossref","first-page":"399","DOI":"10.1001\/jamapsychiatry.2018.4175","article-title":"Assessment of bidirectional relationships between physical activity and depression among adults a 2-sample mendelian randomization study","volume":"76","author":"Choi","year":"2019","journal-title":"Jama Psychiatry"},{"issue":"11","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0014","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pgen.1004787","article-title":"GPA: a statistical approach to prioritizing GWAS results by integrating pleiotropy and annotation","volume":"10","author":"Chung","year":"2014","journal-title":"PLoS Genet"},{"issue":"1","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0015","first-page":"S313","article-title":"A polymorphic gene nested within an intron of the tau gene: Implications for Alzheimer's disease","volume":"23","author":"Conrad","year":"2002","journal-title":"Neurobiol. Aging"},{"issue":"4","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0016","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pcbi.1004219","article-title":"MAGMA: generalized gene-set analysis of GWAS data","volume":"11","author":"de Leeuw","year":"2015","journal-title":"PLoS Comput. Biol."},{"key":"10.1016\/j.neurobiolaging.2022.12.012_bib0017","doi-asserted-by":"crossref","unstructured":"Desikan, R.S., Schork, A.J., Wang, Y., Witoelar, A., Sharma, M., McEvoy, L.K., Holland, D., Brewer, J.B., Chen, C.H., Thompson, W.K., Harold, D., Williams, J., Owen, M.J., O'Donovan, M.C., Pericak-Vance, M.A., Mayeux, R., Haines, J.L., Farrer, L.A., Schellenberg, G.D., Heutink, P., Singleton, A.B., Brice, A., Wood, N.W., Hardy, J., Martinez, M., Choi, S.H., DeStefano, A., Ikram, M.A., Bis, J.C., Smith, A., Fitzpatrick, A.L., Launer, L., van Duijn, C., Seshadri, S., Ulstein, I.D., Aarsland, D., Fladby, T., Djurovic, S., Hyman, B.T., Snaedal, J., Stefansson, H., Stefansson, K., Gasser, T., Andreassen, O.A., Dale, A.M., ADNI, Investigator, A., Investigator, G., Investigator, C., Investigator, I., 2015. Genetic overlap between Alzheimer\u2019s disease and Parkinson\u2019s disease at the MAPT locus. Mol. Psychiatry 20 (12), 1588\u20131595.","DOI":"10.1038\/mp.2015.6"},{"issue":"1","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0018","doi-asserted-by":"crossref","first-page":"120","DOI":"10.1002\/ana.24198","article-title":"C9orf72 and UNC13A are shared risk loci for amyotrophic lateral sclerosis and frontotemporal dementia: a genome-wide meta-analysis","volume":"76","author":"Diekstra","year":"2014","journal-title":"Ann. Neurol."},{"key":"10.1016\/j.neurobiolaging.2022.12.012_bib0019","doi-asserted-by":"crossref","unstructured":"Ferrari, R., Hernandez, D.G., Nalls, M.A., Rohrer, J.D., Ramasamy, A., Kwok, J.B.J., Dobson-Stone, C., Brooks, W.S., Schofield, P.R., Halliday, G.M., Hodges, J.R., Piguet, O., Bartley, L., Thompson, E., Haan, E., Hernandez, I., Ruiz, A., Boada, M., Borroni, B., Padovani, A., Cruchaga, C., Cairns, N.J., Benussi, L., Binetti, G., Ghidoni, R., Forloni, G., Galimberti, D., Fenoglio, C., Serpente, M., Scarpini, E., Clarimon, J., Lleo, A., Blesa, R., Waldo, M.L., Nilsson, K., Nilsson, C., Mackenzie, I.R.A., Hsiung, G.Y.R., Mann, D.M.A., Grafman, J., Morris, C.M., Attems, J., Griffiths, T.D., McKeith, I.G., Thomas, A.J., Pietrini, P., Huey, E.D., Wassermann, E.M., Baborie, A., Jaros, E., Tierney, M.C., Pastor, P., Razquin, C., Ortega-Cubero, S., Alonso, E., Perneczky, R., Diehl-Schmid, J., Alexopoulos, P., Kurz, A., Rainero, I., Rubino, E., Pinessi, L., Rogaeva, E., St George-Hyslop, P., Rossi, G., Tagliavini, F., Giaccone, G., Rowe, J.B., Schlachetzki, J.C.M., Uphill, J., Collinge, J., Mead, S., Danek, A., Van Deerlin, V.M., Grossman, M., Trojanowski, J.Q., van der Zee, J., Deschamps, W., Van Langenhove, T., Cruts, M., Van Broeckhoven, C., Cappa, S.F., Le Ber, I., Hannequin, D., Golfier, V., Vercelletto, M., Brice, A., Nacmias, B., Sorbi, S., Bagnoli, S., Piaceri, I., Nielsen, J.E., Hjermind, L.E., Riemenschneider, M., Mayhaus, M., Ibach, B., Gasparoni, G., Pichler, S., Gu, W., Rossor, M.N., Fox, N.C., Warren, J.D., Spillantini, M.G., Morris, H.R., Rizzu, P., Heutink, P., Snowden, J.S., Rollinson, S., Richardson, A., Gerhard, A., Bruni, A.C., Maletta, R., Frangipane, F., Cupidi, C., Bernardi, L., Anfossi, M., Gallo, M., Conidi, M.E., Smirne, N., Rademakers, R., Baker, M., Dickson, D.W., Graff-Radford, N.R., Petersen, R.C., Knopman, D., Josephs, K.A., Boeve, B.F., Parisi, J.E., Seeley, W.W., Miller, B.L., Karydas, A.M., Rosen, H., van Swieten, J.C., Dopper, E.G.P., Seelaar, H., Al Pijnenburg, Y., Scheltens, P., Logroscino, G., Capozzo, R., Novelli, V., Puca, A.A., Franceschi, M., Postiglione, A., Milan, G., Sorrentino, P., Kristiansen, M., Chiang, H.H., Graff, C., Pasquier, F., Rollin, A., Deramecourt, V., Lebert, F., Kapogiannis, D., Ferrucci, L., Pickering-Brown, S., Singleton, A.B., Hardy, J., Momeni, P., 2014. Frontotemporal dementia and its subtypes: a genome-wide association study. Lancet Neurol 13 (7), 686\u2013699.","DOI":"10.1016\/S1474-4422(14)70065-1"},{"issue":"3","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0020","doi-asserted-by":"crossref","first-page":"273","DOI":"10.2174\/156720511795563700","article-title":"FTD and ALS: a tale of two diseases","volume":"8","author":"Ferrari","year":"2011","journal-title":"Curr. Alzheimer Res."},{"key":"10.1016\/j.neurobiolaging.2022.12.012_bib0021","doi-asserted-by":"crossref","unstructured":"Ferrari, R., Wang, Y.P., Vandrovcova, J., Guelfi, S., Witeolar, A., Karch, C.M., Schork, A.J., Fan, C.C., Brewer, J.B., Momeni, P., Schellenberg, G.D., Dillon, W.P., Sugrue, L.P., Hess, C.P., Yokoyama, J.S., Bonham, L.W., Rabinovici, G.D., Miller, B.L., Andreassen, O.A., Dale, A.M., Hardy, J., Desikan, R.S., IFGC, I.F.-G.C., IPDGC, IGAP, 2017. Genetic architecture of sporadic frontotemporal dementia and overlap with Alzheimer\u2019s and Parkinson\u2019s diseases. J. Neurol. Neurosurg. Psychiatry 88 (2), 152\u2013164.","DOI":"10.1136\/jnnp-2016-314411"},{"issue":"1","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0022","doi-asserted-by":"crossref","first-page":"2417","DOI":"10.1038\/s41467-019-10310-0","article-title":"Bivariate causal mixture model quantifies polygenic overlap between complex traits beyond genetic correlation","volume":"10","author":"Frei","year":"2019","journal-title":"Nat. Commun."},{"issue":"D1","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0023","doi-asserted-by":"crossref","first-page":"D1144","DOI":"10.1093\/nar\/gkaa1084","article-title":"Integration of the Drug-Gene Interaction Database (DGIdb 4.0) with open crowdsource efforts","volume":"49","author":"Freshour","year":"2021","journal-title":"Nucleic Acids Res"},{"issue":"5","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0024","doi-asserted-by":"crossref","first-page":"633","DOI":"10.1007\/s00401-009-0571-7","article-title":"TARDBP 3\u2032-UTR variant in autopsy-confirmed frontotemporal lobar degeneration with TDP-43 proteinopathy","volume":"118","author":"Gitcho","year":"2009","journal-title":"Acta Neuropathol. (Berl.)"},{"issue":"1","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0025","doi-asserted-by":"crossref","first-page":"78","DOI":"10.1186\/s13073-016-0332-x","article-title":"Genetic pleiotropy in complex traits and diseases: implications for genomic medicine","volume":"8","author":"Gratten","year":"2016","journal-title":"Genome Med"},{"issue":"12","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0026","doi-asserted-by":"crossref","first-page":"1209","DOI":"10.1038\/nmeth.2689","article-title":"DGIdb: mining the druggable genome","volume":"10","author":"Griffith","year":"2013","journal-title":"Nat. Methods"},{"issue":"7675","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0027","doi-asserted-by":"crossref","first-page":"204","DOI":"10.1038\/nature24277","article-title":"Genetic effects on gene expression across human tissues","volume":"550","year":"2017","journal-title":"Nature"},{"key":"10.1016\/j.neurobiolaging.2022.12.012_bib0028","doi-asserted-by":"crossref","DOI":"10.1016\/j.neurobiolaging.2015.10.028","article-title":"Genome-wide analysis of genetic correlation in dementia with Lewy bodies, Parkinson\u2019s and Alzheimer\u2019s diseases","volume":"38","author":"Guerreiro","year":"2016","journal-title":"Neurobiol. Aging"},{"key":"10.1016\/j.neurobiolaging.2022.12.012_bib0029","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1016\/j.compbiolchem.2018.02.016","article-title":"Statistical methods to detect novel genetic variants using publicly available GWAS summary data","volume":"74","author":"Guo","year":"2018","journal-title":"Comput. Biol. Chem."},{"issue":"11","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0030","doi-asserted-by":"crossref","first-page":"170125","DOI":"10.1098\/rsob.170125","article-title":"Statistical methods to detect pleiotropy in human complex traits","volume":"7","author":"Hackinger","year":"2017","journal-title":"Open Biology"},{"issue":"9","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0031","doi-asserted-by":"crossref","first-page":"781","DOI":"10.1038\/ng.642","article-title":"Common genetic variation in the HLA region is associated with late-onset sporadic Parkinson\u2019s disease","volume":"42","author":"Hamza","year":"2010","journal-title":"Nat. Genet."},{"issue":"6","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0032","doi-asserted-by":"crossref","first-page":"736","DOI":"10.1001\/2013.jamaneurol.537","article-title":"C9orf72 hexanucleotide repeat expansions in clinical Alzheimer disease","volume":"70","author":"Harms","year":"2013","journal-title":"Jama Neurol"},{"issue":"10","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0033","doi-asserted-by":"crossref","first-page":"1088","DOI":"10.1038\/ng.440","article-title":"Genome-wide association study identifies variants at CLU and PICALM associated with Alzheimer\u2019s disease","volume":"41","author":"Harold","year":"2009","journal-title":"Nat. Genet."},{"key":"10.1016\/j.neurobiolaging.2022.12.012_bib0034","doi-asserted-by":"crossref","first-page":"652","DOI":"10.1093\/brain\/aws033","article-title":"Familial frontotemporal dementia and amyotrophic lateral sclerosis associated with the C9ORF72 hexanucleotide repeat","volume":"135","author":"Hodges","year":"2012","journal-title":"Brain"},{"issue":"1","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0035","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1214\/18-AOAS1181","article-title":"Genome-wide analyses of sparse mediation effects under composite null hypotheses","volume":"13","author":"Huang","year":"2019","journal-title":"The Ann. Appl. Statistics"},{"issue":"3","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0036","doi-asserted-by":"crossref","first-page":"404","DOI":"10.1038\/s41588-018-0311-9","article-title":"Genome-wide meta-analysis identifies new loci and functional pathways influencing Alzheimer\u2019s disease risk","volume":"51","author":"Jansen","year":"2019","journal-title":"Nat. Genet."},{"key":"10.1016\/j.neurobiolaging.2022.12.012_bib0037","article-title":"Emerging pathogenic role of peripheral blood factors following BBB disruption in neurodegenerative disease","volume":"68, 101333","author":"Jeon","year":"2021","journal-title":"Ageing Res. Rev."},{"key":"10.1016\/j.neurobiolaging.2022.12.012_bib0038","doi-asserted-by":"crossref","unstructured":"Karch, C.M., Wen, N., Fan, C.C., Yokoyama, J.S., Kouri, N., Ross, O.A., Hoglinger, G., Muller, U., Ferrari, R., Hardy, J., Schellenberg, G.D., Sleiman, P.M., Momeni, P., Hess, C.P., Miller, B.L., Sharma, M., Van Deerlin, V., Smeland, O.B., Andreassen, O.A., Dale, A.M., Desikan, R.S., FTD, I.F.D., Frontotemporal, I.C., PS, P.S.P., Co, I.P.s.D.G., 2018. Selective genetic overlap between amyotrophic lateral sclerosis and diseases of the frontotemporal dementia spectrum. Jama Neurol. 75 (7), 860\u2013875.","DOI":"10.1001\/jamaneurol.2018.0372"},{"issue":"19","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0039","doi-asserted-by":"crossref","first-page":"5256","DOI":"10.1523\/JNEUROSCI.0984-06.2006","article-title":"Parkinson's disease brain mitochondrial complex I has oxidatively damaged subunits and is functionally impaired and misassembled","volume":"26","author":"Keeney","year":"2006","journal-title":"J. Neurosci."},{"issue":"9","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0040","doi-asserted-by":"crossref","first-page":"758","DOI":"10.1016\/S1474-4422(20)30231-3","article-title":"Brain insulin resistance in Alzheimer's disease and related disorders: mechanisms and therapeutic approaches","volume":"19","author":"Kellar","year":"2020","journal-title":"Lancet Neurol"},{"issue":"6","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0041","doi-asserted-by":"crossref","first-page":"5221","DOI":"10.18632\/aging.102943","article-title":"Genetic networks in Parkinson's and Alzheimer's disease","volume":"12","author":"Kelly","year":"2020","journal-title":"Aging-Us"},{"issue":"5","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0042","doi-asserted-by":"crossref","DOI":"10.1016\/j.neurobiolaging.2012.10.003","article-title":"Repeat expansions in the C9ORF72 gene contribute to Alzheimer\u2019s disease in Caucasians","volume":"34","author":"Kohli","year":"2013","journal-title":"Neurobiol. Aging"},{"issue":"3","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0043","doi-asserted-by":"crossref","first-page":"414","DOI":"10.1038\/s41588-019-0358-2","article-title":"Genetic meta-analysis of diagnosed Alzheimer\u2019s disease identifies new risk loci and implicates A\u03b2, tau, immunity and lipid processing","volume":"51","author":"Kunkle","year":"2019","journal-title":"Nat. Genet."},{"issue":"10","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0044","doi-asserted-by":"crossref","first-page":"1094","DOI":"10.1038\/ng.439","article-title":"Genome-wide association study identifies variants at CLU and CR1 associated with Alzheimer\u2019s disease","volume":"41","author":"Lambert","year":"2009","journal-title":"Nat. Genet."},{"issue":"4","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0045","doi-asserted-by":"crossref","first-page":"371","DOI":"10.1001\/jama.2017.8981","article-title":"Association of genetic variants related to serum calcium levels with coronary artery disease and myocardial infarction","volume":"318","author":"Larsson","year":"2017","journal-title":"Jama-J. Am. Med. Assoc."},{"issue":"8","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0046","doi-asserted-by":"crossref","first-page":"1133","DOI":"10.1002\/sim.3034","article-title":"Mendelian randomization: Using genes as instruments for making causal inferences in epidemiology","volume":"27","author":"Lawlor","year":"2008","journal-title":"Stat. Med."},{"key":"10.1016\/j.neurobiolaging.2022.12.012_bib0047","unstructured":"Lee, P.H., Anttila, V., Won, H., Feng, Y.-C.A., Rosenthal, J., Zhu, Z., Tucker-Drob, E.M., Nivard, M.G., Grotzinger, A.D., Posthuma, D., Wang, M.M.J., Yu, D., Stahl, E.A., Walters, R.K., Anney, R.J.L., Duncan, L.E., Ge, T., Adolfsson, R., Banaschewski, T., Belangero, S., Cook, E.H., Coppola, G., Derks, E.M., Hoekstra, P.J., Kaprio, J., Keski-Rahkonen, A., Kirov, G., Kranzler, H.R., Luykx, J.J., Rohde, L.A., Zai, C.C., Agerbo, E., Arranz, M.J., Asherson, P., B\u00e6kvad-Hansen, M., Baldursson, G., Bellgrove, M., Belliveau, R.A., Buitelaar, J., Burton, C.L., Bybjerg-Grauholm, J., Casas, M., Cerrato, F., Chambert, K., Churchhouse, C., Cormand, B., Crosbie, J., Dalsgaard, S., Demontis, D., Doyle, A.E., Dumont, A., Elia, J., Grove, J., Gudmundsson, O.O., Haavik, J., Hakonarson, H., Hansen, C.S., Hartman, C.A., Hawi, Z., Herv\u00e1s, A., Hougaard, D.M., Howrigan, D.P., Huang, H., Kuntsi, J., Langley, K., Lesch, K.-P., Leung, P.W.L., Loo, S.K., Martin, J., Martin, A.R., McGough, J.J., Medland, S.E., Moran, J.L., Mors, O., Mortensen, P.B., Oades, R.D., Palmer, D.S., Pedersen, C.B., Pedersen, M.G., Peters, T., Poterba, T., Poulsen, J.B., Ramos-Quiroga, J.A., Reif, A., Ribas\u00e9s, M., Rothenberger, A., Rovira, P., S\u00e1nchez-Mora, C., Satterstrom, F.K., Schachar, R., Artigas, M.S., Steinberg, S., Stefansson, H., Turley, P., Walters, G.B., Werge, T., Zayats, T., Arking, D.E., Bettella, F., Buxbaum, J.D., Christensen, J.H., Collins, R.L., Coon, H., De Rubeis, S., Delorme, R., Grice, D.E., Hansen, T.F., Holmans, P.A., Hope, S., Hultman, C.M., Klei, L., Ladd-Acosta, C., Magnusson, P., N\u00e6rland, T., Nyegaard, M., Pinto, D., Qvist, P., Rehnstr\u00f6m, K., Reichenberg, A., Reichert, J., Roeder, K., Rouleau, G.A., Saemundsen, E., Sanders, S.J., Sandin, S., St Pourcain, B., Stefansson, K., Sutcliffe, J.S., Talkowski, M.E., Weiss, L.A., Willsey, A.J., Agartz, I., Akil, H., Albani, D., Alda, M., Als, T.D., Anjorin, A., Backlund, L., Bass, N., Bauer, M., Baune, B.T., Bellivier, F., Bergen, S.E., Berrettini, W.H., Biernacka, J.M., Blackwood, D.H.R., B\u00f8en, E., Budde, M., Bunney, W., Burmeister, M., Byerley, W., Byrne, E.M., Cichon, S., Clarke, T.-K., Coleman, J.R.I., Craddock, N., Curtis, D., Czerski, P.M., Dale, A.M., Dalkner, N., Dannlowski, U., Degenhardt, F., Di Florio, A., Elvs\u00e5shagen, T., Etain, B., Fischer, S.B., Forstner, A.J., Forty, L., Frank, J., Frye, M., Fullerton, J.M., Gade, K., Gaspar, H.A., Gershon, E.S., Gill, M., Goes, F.S., Gordon, S.D., Gordon-Smith, K., Green, M.J., Greenwood, T.A., Grigoroiu-Serbanescu, M., Guzman-Parra, J., Hauser, J., Hautzinger, M., Heilbronner, U., Herms, S., Hoffmann, P., Holland, D., Jamain, S., Jones, I., Jones, L.A., Kandaswamy, R., Kelsoe, J.R., Kennedy, J.L., Joachim, O.K., Kittel-Schneider, S., Kogevinas, M., Koller, A.C., Lavebratt, C., Lewis, C.M., Li, Q.S., Lissowska, J., Loohuis, L.M.O., Lucae, S., Maaser, A., Malt, U.F., Martin, N.G., Martinsson, L., McElroy, S.L., McMahon, F.J., McQuillin, A., Melle, I., Metspalu, A., Millischer, V., Mitchell, P.B., Montgomery, G.W., Morken, G., Morris, D.W., M\u00fcller-Myhsok, B., Mullins, N., Myers, R.M., Nievergelt, C.M., Nordentoft, M., Adolfsson, A.N., N\u00f6then, M.M., Ophoff, R.A., Owen, M.J., Paciga, S.A., Pato, C.N., Pato, M.T., Perlis, R.H., Perry, A., Potash, J.B., Reinbold, C.S., Rietschel, M., Rivera, M., Roberson, M., Schalling, M., Schofield, P.R., Schulze, T.G., Scott, L.J., Serretti, A., Sigurdsson, E., Smeland, O.B., Stordal, E., Streit, F., Strohmaier, J., Thorgeirsson, T.E., Treutlein, J., Turecki, G., Vaaler, A.E., Vieta, E., Vincent, J.B., Wang, Y., Witt, S.H., Zandi, P., Adan, R.A.H., Alfredsson, L., Ando, T., Aschauer, H., Baker, J.H., Bencko, V., Bergen, A.W., Birgeg\u00e5rd, A., Perica, V.B., Brandt, H., Burghardt, R., Carlberg, L., Cassina, M., Clementi, M., Courtet, P., Crawford, S., Crow, S., Crowley, J.J., Danner, U.N., Davis, O.S.P., Degortes, D., DeSocio, J.E., Dick, D.M., Dina, C., Docampo, E., Egberts, K., Ehrlich, S., Espeseth, T., Fern\u00e1ndez-Aranda, F., Fichter, M.M., Foretova, L., Forzan, M., Gambaro, G., Giegling, I., Gonidakis, F., Gorwood, P., Mayora, M.G., Guo, Y., Halmi, K.A., Hatzikotoulas, K., Hebebrand, J., Helder, S.G., Herpertz-Dahlmann, B., Herzog, W., Hinney, A., Imgart, H., Jim\u00e9nez-Murcia, S., Johnson, C., Jordan, J., Juli\u00e0, A., Kaminsk\u00e1, D., Karhunen, L., Karwautz, A., Kas, M.J.H., Kaye, W.H., Kennedy, M.A., Kim, Y.-R., Klareskog, L., Klump, K.L., Knudsen, G.P.S., Land\u00e9n, M., Le Hellard, S., Levitan, R.D., Li, D., Lichtenstein, P., Maj, M., Marsal, S., McDevitt, S., Mitchell, J., Monteleone, P., Monteleone, A.M., Munn-Chernoff, M.A., Nacmias, B., Navratilova, M., O\u2019Toole, J.K., Padyukov, L., Pantel, J., Papezova, H., Rabionet, R., Raevuori, A., Ramoz, N., Reichborn-Kjennerud, T., Ricca, V., Roberts, M., Rujescu, D., Rybakowski, F., Scherag, A., Schmidt, U., Seitz, J., Slachtova, L., Slof-Op\u2018t Landt, M.C.T., Slopien, A., Sorbi, S., Southam, L., Strober, M., Tortorella, A., Tozzi, F., Treasure, J., Tziouvas, K., van Elburg, A.A., Wade, T.D., Wagner, G., Walton, E., Watson, H.J., Wichmann, H.E., Woodside, D.B., Zeggini, E., Zerwas, S., Zipfel, S., Adams, M.J., Andlauer, T.F.M., Berger, K., Binder, E.B., Boomsma, D.I., Castelao, E., Colodro-Conde, L., Direk, N., Docherty, A.R., Domenici, E., Domschke, K., Dunn, E.C., Foo, J.C., de. Geus, E.J.C., Grabe, H.J., Hamilton, S.P., Horn, C., Hottenga, J.-J., Howard, D., Ising, M., Kloiber, S., Levinson, D.F., Lewis, G., Magnusson, P.K.E., Mbarek, H., Middeldorp, C.M., Mostafavi, S., Nyholt, D.R., Penninx, B.W.J.H., Peterson, R.E., Pistis, G., Porteous, D.J., Preisig, M., Quiroz, J.A., Schaefer, C., Schulte, E.C., Shi, J., Smith, D.J., Thomson, P.A., Tiemeier, H., Uher, R., van der Auwera, S., Weissman, M.M., Alexander, M., Begemann, M., Bramon, E., Buccola, N.G., Cairns, M.J., Campion, D., Carr, V.J., Cloninger, C.R., Cohen, D., Collier, D.A., Corvin, A., DeLisi, L.E., Donohoe, G., Dudbridge, F., Duan, J., Freedman, R., Gejman, P.V., Golimbet, V., Godard, S., Ehrenreich, H., Hartmann, A.M., Henskens, F.A., Ikeda, M., Iwata, N., Jablensky, A.V., Joa, I., J\u00f6nsson, E.G., Kelly, B.J., Knight, J., Konte, B., Laurent-Levinson, C., Lee, J., Lencz, T., Lerer, B., Loughland, C.M., Malhotra, A.K., Mallet, J., McDonald, C., Mitjans, M., Mowry, B.J., Murphy, K.C., Murray, R.M., O\u2019Neill, F.A., Oh, S.-Y., Palotie, A., Pantelis, C., Pulver, A.E., Petryshen, T.L., Quested, D.J., Riley, B., Sanders, A.R., Schall, U., Schwab, S.G., Scott, R.J., Sham, P.C., Silverman, J.M., Sim, K., Steixner, A.A., Tooney, P.A., van Os, J., Vawter, M.P., Walsh, D., Weiser, M., Wildenauer, D.B., Williams, N.M., Wormley, B.K., Zhang, F., Androutsos, C., Arnold, P.D., Barr, C.L., Barta, C., Bey, K., Bienvenu, O.J., Black, D.W., Brown, L.W., Budman, C., Cath, D., Cheon, K.-A., Ciullo, V., Coffey, B.J., Cusi, D., Davis, L.K., Denys, D., Depienne, C., Dietrich, A., Eapen, V., Falkai, P., Fernandez, T.V., Garcia-Delgar, B., Geller, D.A., Gilbert, D.L., Grados, M.A., Greenberg, E., Gr\u00fcnblatt, E., Hagstr\u00f8m, J., Hanna, G.L., Hartmann, A., Hedderly, T., Heiman, G.A., Heyman, I., Hong, H.J., Huang, A., Huyser, C., Ibanez-Gomez, L., Khramtsova, E.A., Kim, Y.K., Kim, Y.-S., King, R.A., Koh, Y.-J., Konstantinidis, A., Kook, S., Kuperman, S., Leventhal, B.L., Lochner, C., Ludolph, A.G., Madruga-Garrido, M., Malaty, I., Maras, A., McCracken, J.T., Meijer, I.A., Mir, P., Morer, A., M\u00fcller-Vahl, K.R., M\u00fcnchau, A., Murphy, T.L., Naarden, A., Nagy, P., Nestadt, G., Nestadt, P.S., Nicolini, H., Nurmi, E.L., Okun, M.S., Paschou, P., Piras, F., Piras, F., Pittenger, C., Plessen, K.J., Richter, M.A., Rizzo, R., Robertson, M., Roessner, V., Ruhrmann, S., Samuels, J.F., Sandor, P., Schl\u00f6gelhofer, M., Shin, E.-Y., Singer, H., Song, D.-H., Song, J., Spalletta, G., Stein, D.J., Stewart, S.E., Storch, E.A., Stranger, B., Stuhrmann, M., Tarnok, Z., Tischfield, J.A., T\u00fcbing, J., Visscher, F., Vulink, N., Wagner, M., Walitza, S., Wanderer, S., Woods, M., Worbe, Y., Zai, G., Zinner, S.H., Sullivan, P.F., Franke, B., Daly, M.J., Bulik, C.M., McIntosh, A.M., O\u2019Donovan, M.C., Zheutlin, A., Andreassen, O.A., B\u00f8rglum, A.D., Breen, G., Edenberg, H.J., Fanous, A.H., Faraone, S.V., Gelernter, J., Mathews, C.A., Mattheisen, M., Mitchell, K.S., Neale, M.C., Nurnberger, J.I., Ripke, S., Santangelo, S.L., Scharf, J.M., Stein, M.B., Thornton, L.M., Walters, J.T.R., Wray, N.R., Geschwind, D.H., Neale, B.M., Kendler, K.S., Smoller, J.W., 2019. Genomic relationships, novel loci, and pleiotropic mechanisms across eight psychiatric disorders. Cell 179 (7), 1469\u20131482 e1411."},{"issue":"1","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0048","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1016\/j.ajhg.2014.06.009","article-title":"Rare-variant association analysis: study designs and statistical tests","volume":"95","author":"Lee","year":"2014","journal-title":"Am. J. Hum. Genet."},{"key":"10.1016\/j.neurobiolaging.2022.12.012_bib0049","doi-asserted-by":"crossref","first-page":"R116","DOI":"10.1093\/hmg\/ddn246","article-title":"Autoimmune diseases: insights from genome-wide association studies","volume":"17","author":"Lettre","year":"2008","journal-title":"Hum. Mol. Genet."},{"issue":"1","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0050","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1016\/j.ajhg.2010.06.009","article-title":"A versatile gene-based test for genome-wide association studies","volume":"87","author":"Liu","year":"2010","journal-title":"Am. J. Hum. Genet."},{"key":"10.1016\/j.neurobiolaging.2022.12.012_bib0051","article-title":"Large-Scale hypothesis testing for causal mediation effects with applications in genome-wide epigenetic studies","author":"Liu","year":"2021","journal-title":"J. Am. Stat. Assoc. 117(537), 67-81"},{"issue":"1","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0052","doi-asserted-by":"crossref","first-page":"314","DOI":"10.1186\/s12916-021-02186-z","article-title":"A comprehensive gene-centric pleiotropic association analysis for 14 psychiatric disorders with GWAS summary statistics","volume":"19","author":"Lu","year":"2021","journal-title":"BMC Med"},{"issue":"2","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0053","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1016\/j.ajhg.2014.12.006","article-title":"Joint analysis of psychiatric disorders increases accuracy of risk prediction for schizophrenia, bipolar disorder, and major depressive disorder","volume":"96","author":"Maier","year":"2015","journal-title":"Am. J. Hum. Genet."},{"issue":"1","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0054","doi-asserted-by":"crossref","first-page":"989","DOI":"10.1038\/s41467-017-02769-6","article-title":"Improving genetic prediction by leveraging genetic correlations among human diseases and traits","volume":"9","author":"Maier","year":"2018","journal-title":"Nat. Commun."},{"issue":"3","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0055","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1056\/NEJMc1113592","article-title":"Repeat expansion in C9ORF72 in Alzheimer's disease","volume":"366","author":"Majounie","year":"2012","journal-title":"N. Engl. J. Med."},{"issue":"6","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0056","doi-asserted-by":"crossref","first-page":"649","DOI":"10.1111\/j.1440-1789.2009.01059.x","article-title":"Clinical entity of frontotemporal dementia with motor neuron disease","volume":"29","author":"Mitsuyama","year":"2009","journal-title":"Neuropathology"},{"key":"10.1016\/j.neurobiolaging.2022.12.012_bib0057","doi-asserted-by":"crossref","unstructured":"Nalls, M.A., Blauwendraat, C., Vallerga, C.L., Heilbron, K., Bandres-Ciga, S., Chang, D., Tan, M., Kia, D.A., Noyce, A.J., Xue, A., Bras, J., Young, E., von Coelln, R., Simon-Sanchez, J., Schulte, C., Sharma, M., Krohn, L., Pihlstrom, L., Siitonen, A., Iwaki, H., Leonard, H., Faghri, F., Gibbs, J.R., Hernandez, D.G., Scholz, S.W., Botia, J.A., Martinez, M., Corvol, J.C., Lesage, S., Jankovic, J., Shulman, L.M., Sutherland, M., Tienari, P., Majamaa, K., Toft, M., Andreassen, O.A., Bangale, T., Brice, A., Yang, J., Gan-Or, Z., Gasser, T., Heutink, P., Shulman, J.M., Wood, N.W., Hinds, D.A., Hardy, J.A., Morris, H.R., Gratten, J., Visscher, P.M., Graham, R.R., Singleton, A.B., Team, M.R., Dis, S.G.P.s., Genomics, I.P.s.D., 2019. Identification of novel risk loci, causal insights, and heritable risk for Parkinson\u2019s disease: a meta-analysis of genome-wide association studies. Lancet Neurol 18 (12), 1091\u20131102.","DOI":"10.1016\/S1474-4422(19)30320-5"},{"key":"10.1016\/j.neurobiolaging.2022.12.012_bib0058","doi-asserted-by":"crossref","unstructured":"Nicolas, A., Kenna, K.P., Renton, A.E., Ticozzi, N., Faghri, F., Chia, R., Dominov, J.A., Kenna, B.J., Nalls, M.A., Keagle, P., Rivera, A.M., van Rheenen, W., Murphy, N.A., van Vugt, J.J.F.A., Geiger, J.T., van der Spek, R.A., Pliner, H.A., Shankaracharya, Smith, B.N., Marangi, G., Topp, S.D., Abramzon, Y., Gkazi, A.S., Eicher, J.D., Kenna, A., Mora, G., Calvo, A., Mazzini, L., Riva, N., Mandrioli, J., Caponnetto, C., Battistini, S., Volanti, P., La Bella, V., Conforti, F.L., Borghero, G., Messina, S., Simone, I.L., Trojsi, F., Salvi, F., Logullo, F.O., D'Alfonso, S., Corrado, L., Capasso, M., Ferrucci, L., Moreno, C.D.M., Kamalakaran, S., Goldstein, D.B., Gitler, A.D., Harris, T., Myers, R.M., Phatnani, H., Musunuri, R.L., Evani, U.S., Abhyankar, A., Zody, M.C., Kaye, J., Finkbeiner, S., Wyman, S.K., LeNail, A., Lima, L., Fraenkel, E., Svendsen, C.N., Thompson, L.M., Van Eyk, J.E., Berry, J.D., Miller, T.M., Kolb, S.J., Cudkowicz, M., Baxi, E., Benatar, M., Taylor, J.P., Rampersaud, E., Wu, G., Wuu, J., Lauria, G., Verde, F., Fogh, I., Tiloca, C., Comi, G.P., Soraru, G., Cereda, C., Corcia, P., Laaksovirta, H., Myllykangas, L., Jansson, L., Valori, M., Ealing, J., Hamdalla, H., Rollinson, S., Pickering-Brown, S., Orrell, R.W., Sidle, K.C., Malaspina, A., Hardy, J., Singleton, A.B., Johnson, J.O., Arepalli, S., Sapp, P.C., McKenna-Yasek, D., Polak, M., Asress, S., Al-Sarraj, S., King, A., Troakes, C., Vance, C., de Belleroche, J., Baas, F., ten Asbroek, A.L.M.A., Munoz-Blanco, J.L., Hernandez, D.G., Ding, J.H., Gibbs, J.R., Scholz, S.W., Floeter, M.K., Campbell, R.H., Landi, F., Bowser, R., Pulst, S.M., Ravits, J.M., MacGowan, D.J.L., Kirby, J., Pioro, E.P., Pamphlett, R., Broach, J., Gerhard, G., Dunckley, T.L., Brady, C.B., Kowall, N.W., Troncoso, J.C., Le Ber, I., Mouzat, K., Lumbroso, S., Heiman-Patterson, T.D., Kamel, F., Van Den Bosch, L., Baloh, R.H., Strom, T.M., Meitinger, T., Shatunov, A., Van Eijk, K.R., de Carvalho, M., Kooyman, M., Middelkoop, B., Moisse, M., McLaughlin, R.L., Van Es, M.A., Weber, M., Boylan, K.B., Van Blitterswijk, M., Rademakers, R., Morrison, K.E., Basak, A.N., Mora, J.S., Drory, V.E., Shaw, P.J., Turner, M.R., Talbot, K., Hardiman, O., Williams, K.L., Fifita, J.A., Nicholson, G.A., Blair, I.P., Rouleau, G.A., Esteban-Perez, J., Garcia-Redondo, A., Al-Chalabi, A., Rogaeva, E., Zinman, L., Ostrow, L.W., Maragakis, N.J., Rothstein, J.D., Simmons, Z., Cooper-Knock, J., Brice, A., Goutman, S.A., Feldman, E.L., Gibson, S.B., Taroni, F., Ratti, A., Gellera, C., Van Damme, P., Robberecht, W., Fratta, P., Sabatelli, M., Lunetta, C., Ludolph, A.C., Andersen, P.M., Weishaupt, J.H., Camu, W., Trojanowski, J.Q., Van Deerlin, V.M., Brown, R.H., van den Berg, L.H., Veldink, J.H., Harms, M.B., Glass, J.D., Stone, D.J., Tienari, P., Silani, V., Chio, A., Shaw, C.E., Traynor, B.J., Landers, J.E., Consortium, I., GTAC, G.T.A.C., Consortium, A.S., Consortium, N.A., Fdn, A.A., Disorders, C.R.A.R., Consortium, S., Consortium, F.A., Consor, P.M.A.S., 2018. Genome-wide analyses identify KIF5A as a novel ALS gene. Neuron 97 (6), 1268\u20131283.","DOI":"10.2139\/ssrn.3155776"},{"key":"10.1016\/j.neurobiolaging.2022.12.012_bib0059","unstructured":"Organization, W.H., 2006. Neurological disorders: public health challenges."},{"issue":"9","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0060","doi-asserted-by":"crossref","first-page":"1161","DOI":"10.1038\/s41593-018-0206-1","article-title":"GWAS of lifetime cannabis use reveals new risk loci, genetic overlap with psychiatric traits, and a causal influence of schizophrenia","volume":"21","author":"Pasman","year":"2018","journal-title":"Nat. Neurosci."},{"issue":"1821","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0061","article-title":"Progress and promise in understanding the genetic basis of common diseases","volume":"282","author":"Price","year":"2015","journal-title":"Proc. Royal Soc. B: Biol. Sci."},{"issue":"3","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0062","doi-asserted-by":"crossref","first-page":"559","DOI":"10.1086\/519795","article-title":"PLINK: a tool set for whole-genome association and population-based linkage analyses","volume":"81","author":"Purcell","year":"2007","journal-title":"Am. J. Hum. Genet."},{"issue":"12","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0063","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pgen.1009218","article-title":"A powerful method for pleiotropic analysis under composite null hypothesis identifies novel shared loci between Type 2 Diabetes and Prostate Cancer","volume":"16","author":"Ray","year":"2020","journal-title":"PLoS Genet"},{"issue":"2","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0064","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1016\/j.neuron.2011.09.010","article-title":"A hexanucleotide repeat expansion in C9ORF72 is the cause of chromosome 9p21-Linked ALS-FTD","volume":"72","author":"Renton","year":"2011","journal-title":"Neuron"},{"issue":"6","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0065","doi-asserted-by":"crossref","first-page":"542","DOI":"10.1097\/WCO.0b013e32834cd442","article-title":"Phenotypic signatures of genetic frontotemporal dementia","volume":"24","author":"Rohrer","year":"2011","journal-title":"Curr. Opin. Neurol."},{"issue":"6","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0066","doi-asserted-by":"crossref","first-page":"687","DOI":"10.1016\/j.jalz.2016.03.015","article-title":"Understanding the genetics of APOE and TOMM40 and role of mitochondrial structure and function in clinical pharmacology of Alzheimer's disease","volume":"12","author":"Roses","year":"2016","journal-title":"Alzheimers & Dementia"},{"issue":"12","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0067","doi-asserted-by":"crossref","DOI":"10.3390\/cells9122642","article-title":"Common factors in neurodegeneration: a meta-study revealing shared patterns on a multi-omics scale","volume":"9","author":"Ruffini","year":"2020","journal-title":"Cells"},{"issue":"1","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0068","first-page":"111","article-title":"Multivariate generalized linear model for genetic pleiotropy","volume":"20","author":"Schaid","year":"2019","journal-title":"Biostatistics"},{"issue":"8","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0069","doi-asserted-by":"crossref","first-page":"797","DOI":"10.1002\/gepi.21676","article-title":"SNP set association analysis for familial data","volume":"36","author":"Schifano","year":"2012","journal-title":"Genet. Epidemiol."},{"issue":"1","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0070","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1016\/j.jaci.2015.06.029","article-title":"Atopic dermatitis is associated with an increased risk for rheumatoid arthritis and inflammatory bowel disease, and a decreased risk for type 1 diabetes","volume":"137","author":"Schmitt","year":"2016","journal-title":"J. Allergy Clin. Immunol."},{"issue":"8","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0071","doi-asserted-by":"crossref","first-page":"1205","DOI":"10.1371\/journal.pmed.0050177","article-title":"Mendelian randomisation and causal inference in observational epidemiology","volume":"5","author":"Sheehan","year":"2008","journal-title":"PLoS Med"},{"key":"10.1016\/j.neurobiolaging.2022.12.012_bib0072","doi-asserted-by":"crossref","DOI":"10.1155\/2016\/5731734","article-title":"The association between C9orf72 repeats and risk of alzheimer\u2019s disease and amyotrophic lateral sclerosis: a meta-analysis","author":"Shu","year":"2016","journal-title":"Parkinsons Dis."},{"issue":"12","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0073","doi-asserted-by":"crossref","first-page":"1261","DOI":"10.1038\/ng1209-1261","article-title":"Evidence for a common pathway linking neurodegenerative diseases","volume":"41","author":"Shulman","year":"2009","journal-title":"Nat. Genet."},{"issue":"5","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0074","doi-asserted-by":"crossref","first-page":"607","DOI":"10.1016\/j.ajhg.2011.10.004","article-title":"Abundant pleiotropy in human complex diseases and traits","volume":"89","author":"Sivakumaran","year":"2011","journal-title":"Am. J. Hum. Genet."},{"issue":"1","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0075","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1007\/s00439-019-02060-2","article-title":"Discovery of shared genomic loci using the conditional false discovery rate approach","volume":"139","author":"Smeland","year":"2020","journal-title":"Hum. Genet."},{"issue":"7","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0076","doi-asserted-by":"crossref","first-page":"483","DOI":"10.1038\/nrg3461","article-title":"Pleiotropy in complex traits: challenges and strategies","volume":"14","author":"Solovieff","year":"2013","journal-title":"Natr. Rev. Genetics"},{"issue":"1","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0077","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1007\/s10571-014-0102-5","article-title":"Association of rs62063857 variant of the saitohin gene with Parkinson's disease","volume":"35","author":"Sonmez","year":"2015","journal-title":"Cell. Mol. Neurobiol."},{"issue":"1","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0078","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1016\/j.ajhg.2008.06.009","article-title":"Long-range LD can confound genome scans in admixed populations - response to Price et\u00a0al","volume":"83","author":"Tang","year":"2008","journal-title":"Am. J. Hum. Genet."},{"issue":"6509","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0079","doi-asserted-by":"crossref","first-page":"1318","DOI":"10.1126\/science.aaz1776","article-title":"The GTEx Consortium atlas of genetic regulatory effects across human tissues","volume":"369","year":"2020","journal-title":"Science"},{"issue":"10","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0080","doi-asserted-by":"crossref","first-page":"567","DOI":"10.1038\/s41576-019-0137-z","article-title":"Genetic correlations of polygenic disease traits: from theory to practice","volume":"20","author":"van Rheenen","year":"2019","journal-title":"Nat. Rev. Genet."},{"key":"10.1016\/j.neurobiolaging.2022.12.012_bib0081","first-page":"854","article-title":"Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases","volume":"27","author":"Verbanck","year":"2019","journal-title":"Eur. J. Hum. Genet."},{"issue":"1","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0082","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1016\/j.ajhg.2017.06.005","article-title":"10 Years of GWAS discovery: biology, function, and translation","volume":"101","author":"Visscher","year":"2017","journal-title":"Am. J. Hum. Genet."},{"issue":"6562","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0083","doi-asserted-by":"crossref","first-page":"1468","DOI":"10.1126\/science.abi8206","article-title":"Discovery and implications of polygenicity of common diseases","volume":"373","author":"Visscher","year":"2021","journal-title":"Science"},{"key":"10.1016\/j.neurobiolaging.2022.12.012_bib0084","article-title":"Identifying pleiotropic genes for complex phenotypes with summary statistics from a perspective of composite null hypothesis testing","author":"Wang","year":"2022","journal-title":"Brief. Bioinform."},{"issue":"8","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0085","doi-asserted-by":"crossref","first-page":"778","DOI":"10.1002\/gepi.21763","article-title":"GEE-based SNP set association test for continuous and discrete traits in family-based association studies","volume":"37","author":"Wang","year":"2013","journal-title":"Genet. Epidemiol."},{"issue":"9","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0086","doi-asserted-by":"crossref","first-page":"1339","DOI":"10.1038\/s41588-019-0481-0","article-title":"A global overview of pleiotropy and genetic architecture in complex traits","volume":"51","author":"Watanabe","year":"2019","journal-title":"Nat. Genet."},{"key":"10.1016\/j.neurobiolaging.2022.12.012_bib0087","doi-asserted-by":"crossref","DOI":"10.1038\/s41467-017-01261-5","article-title":"Functional mapping and annotation of genetic associations with FUMA","volume":"8","author":"Watanabe","year":"2017","journal-title":"Nat. Commun."},{"issue":"3","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0088","doi-asserted-by":"crossref","first-page":"274","DOI":"10.1038\/s41588-022-01017-y","article-title":"An integrated framework for local genetic correlation analysis","volume":"54","author":"Werme","year":"2022","journal-title":"Nat. Genet."},{"issue":"6","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0089","doi-asserted-by":"crossref","first-page":"929","DOI":"10.1016\/j.ajhg.2010.05.002","article-title":"Powerful SNP-set analysis for case-control genome-wide association studies","volume":"86","author":"Wu","year":"2010","journal-title":"Am. J. Hum. Genet."},{"issue":"1","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0090","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1016\/j.ajhg.2011.05.029","article-title":"Rare-variant association testing for sequencing data with the sequence kernel association test","volume":"89","author":"Wu","year":"2011","journal-title":"Am. J. Hum. Genet."},{"issue":"3","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0091","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1002\/gepi.21715","article-title":"Kernel machine SNP-set testing under multiple candidate kernels","volume":"37","author":"Wu","year":"2013","journal-title":"Genet. Epidemiol."},{"issue":"3","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0092","doi-asserted-by":"crossref","first-page":"349","DOI":"10.1101\/gr.269381.120","article-title":"Blood-derived mitochondrial DNA copy number is associated with gene expression across multiple tissues and is predictive for incident neurodegenerative disease","volume":"31","author":"Yang","year":"2021","journal-title":"Genome Res"},{"issue":"1","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0093","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1146\/annurev.pathmechdis.2.010506.092044","article-title":"The Aging Brain","volume":"3","author":"Yankner","year":"2008","journal-title":"Annual Rev. Pathol.: Mechanisms of Dis."},{"issue":"6","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0094","doi-asserted-by":"crossref","first-page":"1734","DOI":"10.1093\/ije\/dyx034","article-title":"MendelianRandomization: an R package for performing Mendelian randomization analyses using summarized data","volume":"46","author":"Yavorska","year":"2017","journal-title":"Int. J. Epidemiol."},{"issue":"1","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0095","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1002\/ana.25721","article-title":"Alcohol drinking and amyotrophic lateral sclerosis: an instrumental variable causal inference","volume":"88","author":"Yu","year":"2020","journal-title":"Ann. Neurol."},{"issue":"16","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0096","doi-asserted-by":"crossref","first-page":"2797","DOI":"10.1093\/bioinformatics\/bty204","article-title":"Pleiotropic mapping and annotation selection in genome-wide association studies with penalized Gaussian mixture models","volume":"34","author":"Zeng","year":"2018","journal-title":"Bioinformatics"},{"key":"10.1016\/j.neurobiolaging.2022.12.012_bib0097","doi-asserted-by":"crossref","first-page":"3209","DOI":"10.1016\/j.csbj.2021.05.042","article-title":"Statistical methods for mediation analysis in the era of high-throughput genomics: current successes and future challenges","volume":"19","author":"Zeng","year":"2021","journal-title":"Computational and Structural Biotechnol. J."},{"issue":"1","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0098","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1186\/s12916-019-1448-9","article-title":"Causal association of type 2 diabetes with amyotrophic lateral sclerosis: new evidence from Mendelian randomization using GWAS summary statistics","volume":"17","author":"Zeng","year":"2019","journal-title":"BMC Med"},{"issue":"4","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0099","doi-asserted-by":"crossref","first-page":"688","DOI":"10.1093\/hmg\/ddy384","article-title":"Causal effects of blood lipids on amyotrophic lateral sclerosis: a Mendelian randomization study","volume":"28","author":"Zeng","year":"2019","journal-title":"Hum. Mol. Genet."},{"issue":"1","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0100","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/j.ajhg.2014.11.011","article-title":"Meta-analysis of correlated traits via summary statistics from GWASs with an application in hypertension","volume":"96","author":"Zhu","year":"2015","journal-title":"Am. J. Hum. Genet."},{"issue":"6","key":"10.1016\/j.neurobiolaging.2022.12.012_bib0101","doi-asserted-by":"crossref","first-page":"1901507","DOI":"10.1183\/13993003.01507-2019","article-title":"Shared genetics of asthma and mental health disorders: a large-scale genome-wide cross-trait analysis","volume":"54","author":"Zhu","year":"2019","journal-title":"The European respiratory journal"}],"container-title":["Neurobiology of Aging"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0197458022002755?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0197458022002755?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T11:44:52Z","timestamp":1759319092000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0197458022002755"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4]]},"references-count":101,"alternative-id":["S0197458022002755"],"URL":"https:\/\/doi.org\/10.1016\/j.neurobiolaging.2022.12.012","relation":{},"ISSN":["0197-4580"],"issn-type":[{"value":"0197-4580","type":"print"}],"subject":[],"published":{"date-parts":[[2023,4]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Genetic correlation and gene-based pleiotropy analysis for four major neurodegenerative diseases with summary statistics","name":"articletitle","label":"Article Title"},{"value":"Neurobiology of Aging","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neurobiolaging.2022.12.012","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2023 Elsevier Inc. All rights reserved.","name":"copyright","label":"Copyright"}]}}