Results 41 to 50 of about 2,748,088 (370)

A genome-wide scan for common alleles affecting risk for autism [PDF]

, 2010
Although autism spectrum disorders (ASDs) have a substantial genetic basis, most of the known genetic risk has been traced to rare variants, principally copy number variants (CNVs).
A. Battaglia, A. C. Lionel, A. Crossett, A. D. Paterson, A. Estes, A. J. Bailey, A. Kolevzon, A. Le Couteur, A. M. Vicente, A. Merikangas, A. Noor, A. P. Monaco, A. P. Thompson, A. Pickles, A. Poustka, A. Prasad, A. R. Carson, A. T. Pagnamenta, A. Tryfon, Abrahams, Arai, B. A. Fernandez, B. Devlin, B. L. Leventhal, B. L. Yaspan, B. Parrini, B. Roge, B. S. Abrahams, B. Thiruvahindrapduram, Bailey, Baron-Cohen, Browning, Butler, Buxbaum, C. Betancur, C. Correia, C. Corsello, C. Gillberg, C. J. McDougle, C. Kim, C. Lord, C. M. Freitag, C. M. Lajonchere, C. Mantoulan, C. Noakes, C. R. Marshall, C. Strawbridge, Constantino, Cook, Cordell, D. H. Geschwind, D. J. Posey, D. Pinto, D. Sato, D. Zurawiecki, Dhami, Duan, E. A. Heron, E. Bacchelli, E. Duketis, E. Fombonne, E. H. Cook, E. L. Crawford, E. M. Wijsman, E. Maestrini, F. Duque, F. Poustka, F. Volkmar, Fernell, Fombonne, G. Baird, G. Casallo, G. D. Schellenberg, G. Dawson, G. Hughes, G. K. Mirza, G. Nygren, G. Oliveira, Geschwind, Glessner, G  ring, H. Coon, H. Hakonarson, H. McConachie, H. Van Engeland, Herman, Hurley, I. Drmic, I. Sousa, J. A. Lamb, J. Almeida, J. B. Vincent, J. Brian, J. Casey, J. Conroy, J. D. Buxbaum, J. Gilbert, J. Goldberg, J. Green, J. Hallmayer, J. I. Nurnberger, J. L. Haines, J. L. Howe, J. McGrath, J. Miller, J. Munson, J. P. Rice, J. Piven, J. R. Parr, J. Ragoussis, J. Rickaby, J. S. Sutcliffe, J. Salt, J. T. Glessner, J. Tsiantis, Jamain, K. Papanikolaou, K. Renshaw, K. Roeder, K. Sansom, K. Tansey, K. Wang, K. Wing, K. Wittemeyer, Kanaho, L. Cochrane, L. Gallagher, L. J. Bierut, L. Klei, L. Lotspeich, L. Senman, L. Soorya, L. Zwaigenbaum, Lee, Liu, Lord, Lord, Luca, M. A. Pericak-Vance, M. de Jonge, M. Gill, M. Hill, M. L. Cuccaro, M. L. Rutter, M. Laskawiec, M. Leboyer, Ma, Marshall, N. Bolshakova, N. J. Minshew, N. M. Melhem, N. Shah, N. Sykes, Nacher, O. Korvatska, O. Migita, Orrico, P. F. Bolton, P. Farrar, P. Szatmari, Pinto, R. Anney, R. Delorme, R. Holt, R. Igliozzi, R. M. Cantor, R. Regan, R. Segurado, R. Tancredi, Risi, S. Bolte, S. Brennan, S. C. Lund, S. E. Folstein, S. Ennis, S. F. Nelson, S. H. Chu, S. J. Guter, S. M. Klauck, S. Thomson, S. W. Scherer, S. Wallace, S. Wood, Sun, T. Berney, T. Bourgeron, T. H. Wassink, T. Paton, T. R. Magalhaes, Tao, Ter Horst, V. C. Sheffield, V. Hus, V. J. Vieland, V. Kustanovich, V. Stoppioni, Varga, W. M. McMahon, W. Mahoney, W. Roberts, Wang, Weiss, X.-Q. Liu, Z. Wang, Zhang, Zhong   +205 more
core   +7 more sources

Conservation of Animal Genetic Resources in the Danubian Valley

Scientific Papers Animal Science and Biotechnologies, 2023
The overall aim of gene conservation is the preservation of animal genetic resources (AnGR). Since the well balanced, diverse and healthy supply of food is a major element of the national food sovereignty, hence successful animal production is not ...
Pal Hajas
doaj  

Sepsis genomics: Stepping forward toward sepsis prevention?

International Journal of Advanced Medical and Health Research, 2014
The era of personalized medicine has already begun and now it is time to initiate personalized prevention strategies against diseases. Infectious diseases have a higher mortality than any other illness, especially in developing countries.
Benet Bosco Dhas, Hiasindh Ashmi, Ballambattu Vishnu Bhat   +2 more
doaj   +1 more source

Common variants at 6p21.1 are associated with large artery atherosclerotic stroke [PDF]

, 2012
Genome-wide association studies (GWAS) have not consistently detected replicable genetic risk factors for ischemic stroke, potentially due to etiological heterogeneity of this trait.
Holliday, EG, Holliday, EG, Maguire, JM, Maguire, JM, Maguire, JM, Evans, TJ, Evans, TJ, Koblar, SA, Koblar, SA, Jannes, J, Jannes, J, Sturm, JW, Sturm, JW, Hankey, GJ, Hankey, GJ, Baker, R, Baker, R, Golledge, J, Golledge, J, Parsons, MW, Malik, R, McEvoy, M, McEvoy, M, McEvoy, M, Biros, E, Lewis, MD, Lewis, MD, Lincz, LF, Lincz, LF, Lincz, LF, Peel, R, Peel, R, Peel, R, Oldmeadow, C, Oldmeadow, C, Smith, W, Smith, W, Moscato, P, Moscato, P, Barlera, S, Bevan, S, Bis, JC, Boerwinkle, E, Boerwinkle, E, Boncoraglio, GB, Brott, TG, Brown, RD, Cheng, YC, Cole, JW, Cole, JW, Cotlarciuc, I, Devan, WJ, Devan, WJ, Devan, WJ, Fornage, M, Fornage, M, Furie, KL, Furie, KL, Grétarsdóttir, S, Gschwendtner, A, Ikram, MA, Ikram, MA, Ikram, MA, Longstreth, WT, Longstreth, WT, Longstreth, WT, Meschia, JF, Mitchell, BD, Mosley, TH, Nalls, MA, Parati, EA, Psaty, BM, Psaty, BM, Psaty, BM, Psaty, BM, Sharma, P, Stefansson, K, Stefansson, K, Thorleifsson, G, Thorsteinsdottir, U, Thorsteinsdottir, U, Traylor, M, Verhaaren, BFJ, Verhaaren, BFJ, Wiggins, KL, Worrall, BB, Sudlow, C, Sudlow, C, Rothwell, PM, Farrall, M, Farrall, M, Dichgans, M, Rosand, J, Rosand, J, Rosand, J, Markus, HS, Scott, RJ, Scott, RJ, Scott, RJ, Levi, C   +99 more
core   +1 more source

Genetic heterogeneity analysis using genetic algorithm and network science [PDF]

arXiv, 2023
Through genome-wide association studies (GWAS), disease susceptible genetic variables can be identified by comparing the genetic data of individuals with and without a specific disease. However, the discovery of these associations poses a significant challenge due to genetic heterogeneity and feature interactions.
arxiv  

Genetic load makes cancer cells more sensitive to common drugs: evidence from Cancer Cell Line Encyclopedia [PDF]

Scientific Reports (7:1938). Springer Nature. May 16 2017, 2017
Genetic alterations initiate tumors and enable the evolution of drug resistance. The pro-cancer view of mutations is however incomplete, and several studies show that mutational load can reduce tumor fitness. Given its negative effect, genetic load should make tumors more sensitive to anticancer drugs.
arxiv   +1 more source

Sex Differences in Genetic Associations With Longevity [PDF]

JAMA Network Open, 2018
Sex differences in genetic associations with human longevity remain largely unknown; investigations on this topic are important for individualized health care.To explore sex differences in genetic associations with longevity.This population-based case-control study used sex-specific genome-wide association study and polygenic risk score (PRS) analyses ...
Jichun Xie, Chen Bai, Qihua Tan, Ze Yang, Liang Sun, Claudio Franceschi, Chao Nie, Zhihua Chen, Xiao-Li Tian, Lars Bolund, Jianxin Li, Elizabeth R. Hauser, Joris Deelen, Kaare Christensen, Xiaomin Liu, Angela M. O'Rand, Huashuai Chen, Huashuai Chen, Thomas T. Perls, James W. Vaupel, William K. Gottschalk, Anatoli I. Yashin, Jiehua Lu, Yong Hou, Yi Zeng, Yi Zeng, Anastasia Gurinovich, Rui Ye, Michael W. Lutz, Wei Tao, Jean-Marie Robine, Xun Xu, Junxia Min, Zhaoxue Yin, Xiaoming Shi, Yuebin Lv, Ting Ni, Enjun Xie, Jun Gu, Xiao Liu, Huanming Yang, Kenneth C. Land, Paola Sebastiani, Eline Slagboom   +43 more
openaire   +10 more sources

The role of 39 psoriasis risk variants on age of psoriasis onset. [PDF]

, 2013
Recent genome-wide association studies (GWAS) have identified multiple genetic risk factors for psoriasis, but data on their association with age of onset have been marginally explored.
Butler, Daniel, Chen, Haoyan, Cordoro, Kelly, Debbaneh, Maya, Gupta, Rishu, Huynh, Monica, Kane, Sinae, Leon, Argentina, Levin, Ethan, Liao, Wilson, Lu, Yingchang, Millsop, Jillian W, Nguyen, Tien   +12 more
core   +2 more sources

Evaluation of the Association of Htr2a Gene Rs6313 Polymorphism with Heroin Dependence in a Sample from Northwest Iran

Majallah-i Dānishgāh-i ’Ulūm-i Pizishkī-i Īlām, 2021
Introduction: Heroin dependence is a chronic relapsing disorder caused by a combination of genetic, epigenetic, and environmental factors. The genetic contribution in the vulnerability to heroin dependence is 40%-60%. Alterations in dopamine transport in
Fatemeh Mahmoudi, Leila Mehdizadeh fanid, Narges Zeinalzadeh, Mohammad ali Hosseinpour feizy   +3 more
doaj  

Ancestry-informative markers on chromosomes 2, 8 and 15 are associated with insulin-related traits in a racially diverse sample of children

Human Genomics, 2011
Type 2 diabetes represents an increasing health burden. Its prevalence is rising among younger age groups and differs among racial/ethnic groups. Little is known about its genetic basis, including whether there is a genetic basis for racial/ethnic ...
Klimentidis Yann C, Divers Jasmin, Casazza Krista, Beasley T, Allison David B, Fernandez Jose R   +5 more
doaj   +1 more source