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High density SNP arrays help scientists identify patterns of allelic imbalance. These studies have potential prognostic and diagnostic uses. Because LOH is so common in many human cancers, SNP arrays have great potential in cancer diagnostics. For example, recent SNP array studies have shown that solid [[tumor]]s such as [[gastric cancer]] and [[hepatocellular carcinoma|liver cancer]] show LOH, as do non-solid malignancies such as [[leukemia|hematologic malignancies]], [[leukemia#acute lymphocytic leukemia (ALL)|ALL]], [[myelodysplastic syndrome|MDS]], [[Leukemia#Chronic myelogenous|CML]] and others. These studies may provide insights into how these diseases develop, as well as information about how to create therapies for them.<ref>{{cite journal|last1=Mao|first1=Xueying|last2=Young|first2=Bryan D|last3=Lu|first3=Yong-Jie|title=The Application of Single Nucleotide Polymorphism Microarrays in Cancer Research|journal=Current Genomics|date=2007|volume=8|issue=4|pages=219–228|issn=1389-2029|doi=10.2174/138920207781386924|pmc=2430687|pmid=18645599}}</ref>
Breeding in a number of animal and plant species has been revolutionized by the emergence of SNP arrays. The method is based on the prediction of genetic merit by incorporating relationships among individuals based on SNP array data.<ref name="pmid11290733">{{cite journal |vauthors = Meuwissen TH, Hayes BJ, Goddard ME |title = Prediction of total genetic value using genome-wide dense marker maps |journal = Genetics |volume = 157 |issue = 4 |pages = 1819–29 |year = 2001 |doi = 10.1093/genetics/157.4.1819 |pmid = 11290733 |pmc = 1461589 }}</ref> This process is known as genomic selection. Crop-specific arrays find use in agriculture.<ref name="Hulse-Kemp-et-al-2015">{{cite journal | last1=Hulse-Kemp | first1=Amanda M |author-link1=Amanda M. Hulse-Kemp| last2=Lemm | first2=Jana | last3=Plieske | first3=Joerg | last4=Ashrafi | first4=Hamid | last5=Buyyarapu | first5=Ramesh | last6=Fang | first6=David D | last7=Frelichowski | first7=James | last8=Giband | first8=Marc | last9=Hague | first9=Steve | last10=Hinze | first10=Lori L | last11=Kochan | first11=Kelli J | last12=Riggs | first12=Penny K | last13=Scheffler | first13=Jodi A | last14=Udall | first14=Joshua A | last15=Ulloa | first15=Mauricio | last16=Wang | first16=Shirley S | last17=Zhu | first17=Qian-Hao | last18=Bag | first18=Sumit K | last19=Bhardwaj | first19=Archana | last20=Burke | first20=John J | last21=Byers | first21=Robert L | last22=Claverie | first22=Michel | last23=Gore | first23=Michael A | last24=Harker | first24=David B | last25=Islam | first25=Mohammad Sariful | last26=Jenkins | first26=Johnie N | last27=Jones | first27=Don C | last28=Lacape | first28=Jean-Marc | last29=Llewellyn | first29=Danny J | last30=Percy | first30=Richard G | last31=Pepper | first31=Alan E | last32=Poland | first32=Jesse A | last33=Mohan Rai | first33=Krishan | last34=Sawant | first34=Samir V | last35=Singh | first35=Sunil Kumar | last36=Spriggs | first36=Andrew | last37=Taylor | first37=Jen M | last38=Wang | first38=Fei | last39=Yourstone | first39=Scott M | last40=Zheng | first40=Xiuting | last41=Lawley | first41=Cindy T | last42=Ganal | first42=Martin W | last43=Van Deynze | first43=Allen | last44=Wilson | first44=Iain W | last45=Stelly | first45=David M | title=Development of a 63K SNP Array for Cotton and High-Density Mapping of Intraspecific and Interspecific Populations of ''Gossypium'' spp. | journal=[[G3: Genes, Genomes, Genetics]] | publisher=[[Genetics Society of America]] ([[Oxford University Press|OUP]]) | volume=5 | issue=6 | date=2015-06-01 | issn=2160-1836 | doi=10.1534/g3.115.018416 | pages=1187–1209 | pmid=25908569 | s2cid=11590488| pmc=4478548 }}</ref><ref name="Rasheed-et-al-2017">{{cite journal | last1=Rasheed | first1=Awais | last2=Hao | first2=Yuanfeng | last3=Xia | first3=Xianchun | last4=Khan | first4=Awais | last5=Xu | first5=Yunbi | last6=Varshney | first6=Rajeev K. | last7=He | first7=Zhonghu | title=Crop Breeding Chips and Genotyping Platforms: Progress, Challenges, and Perspectives | journal=[[Molecular Plant]] | publisher=[[Chinese Academy of Sciences|Chin Acad Sci]]+[[Chinese Society for Plant Biology|Chin Soc Plant Bio]]+[[Shanghai Institutes for Biological Sciences|Shanghai Inst Bio Sci]] ([[Elsevier]]) | volume=10 | issue=8 | year=2017 | issn=1674-2052 | doi=10.1016/j.molp.2017.06.008 | pages=1047–1064 | s2cid=33780984 | pmid=28669791| doi-access=free }}</ref>
==References==
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