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2.  Driver mutations among never smoking female lung cancer tissues in China identify unique EGFR and KRAS mutation pattern associated with household coal burning 
Respiratory medicine  2013;107(11):10.1016/j.rmed.2013.08.018.
Lung cancer in never smokers, which has been partially attributed to household solid fuel use (i.e coal), is etiologically and clinically different from lung cancer attributed to tobacco smoking. To explore the spectrum of driver mutations among lung cancer tissues from never smokers, specifically in a population where high lung cancer rates have been attributed to indoor air pollution from domestic coal use, multiplexed assays were used to detect >40 point mutations, insertions, and deletions (EGFR, KRAS, BRAF, HER2, NRAS, PIK3CA, MEK1, AKT1, and PTEN) among the lung tumors of confirmed never smoking females from Xuanwei, China [32 adenocarcinomas (ADCs), 7 squamous cell carcinomas (SCCs), 1 adenosquamous carcinoma (ADSC)]. EGFR mutations were detected in 35% of tumors. 46% of these involved EGFR exon 18 G719X, while 14% were exon 21 L858R mutations. KRAS mutations, all of which were G12C_34G>T, were observed in 15% of tumors. EGFR and KRAS mutations were mutually exclusive, and no mutations were observed in the other tested genes. Most point mutations were transversions and were also found in tumors from patients who used coal in their homes. Our high mutation frequencies in EGFR exon 18 and KRAS and low mutation frequency in EGFR exon 21 are strikingly divergent from those in other smoking and never smoking populations from Asia. Given that our subjects live in a region where coal is typically burned indoors, our findings provide new insights into the pathogenesis of lung cancer among never smoking females exposed to indoor air pollution from coal.
doi:10.1016/j.rmed.2013.08.018
PMCID: PMC3848251  PMID: 24055406
EGFR; KRAS; lung cancer; never smoking; China; driver mutations; tumor tissue
3.  Global, regional, and national levels and causes of maternal mortality during 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013 
Kassebaum, Nicholas J | Bertozzi-Villa, Amelia | Coggeshall, Megan S | Shackelford, Katya A | Steiner, Caitlyn | Heuton, Kyle R | Gonzalez-Medina, Diego | Barber, Ryan | Huynh, Chantal | Dicker, Daniel | Templin, Tara | Wolock, Timothy M | Ozgoren, Ayse Abbasoglu | Abd-Allah, Foad | Abera, Semaw Ferede | Abubakar, Ibrahim | Achoki, Tom | Adelekan, Ademola | Ademi, Zanfina | Adou, Arsène Kouablan | Adsuar, José C | Agardh, Emilie E | Akena, Dickens | Alasfoor, Deena | Alemu, Zewdie Aderaw | Alfonso-Cristancho, Rafael | Alhabib, Samia | Ali, Raghib | Al Kahbouri, Mazin J | Alla, François | Allen, Peter J | AlMazroa, Mohammad A | Alsharif, Ubai | Alvarez, Elena | Alvis-Guzmán, Nelson | Amankwaa, Adansi A | Amare, Azmeraw T | Amini, Hassan | Ammar, Walid | Antonio, Carl A T | Anwari, Palwasha | Ärnlöv, Johan | Arsenijevic, Valentina S Arsic | Artaman, Ali | Asad, Majed Masoud | Asghar, Rana J | Assadi, Reza | Atkins, Lydia S | Badawi, Alaa | Balakrishnan, Kalpana | Basu, Arindam | Basu, Sanjay | Beardsley, Justin | Bedi, Neeraj | Bekele, Tolesa | Bell, Michelle L | Bernabe, Eduardo | Beyene, Tariku J | Bhutta, Zulfiqar | Abdulhak, Aref Bin | Blore, Jed D | Basara, Berrak Bora | Bose, Dipan | Breitborde, Nicholas | Cárdenas, Rosario | Castañeda-Orjuela, Carlos A | Castro, Ruben Estanislao | Catalá-López, Ferrán | Cavlin, Alanur | Chang, Jung-Chen | Che, Xuan | Christophi, Costas A | Chugh, Sumeet S | Cirillo, Massimo | Colquhoun, Samantha M | Cooper, Leslie Trumbull | Cooper, Cyrus | da Costa Leite, Iuri | Dandona, Lalit | Dandona, Rakhi | Davis, Adrian | Dayama, Anand | Degenhardt, Louisa | De Leo, Diego | del Pozo-Cruz, Borja | Deribe, Kebede | Dessalegn, Muluken | deVeber, Gabrielle A | Dharmaratne, Samath D | Dilmen, Uğur | Ding, Eric L | Dorrington, Rob E | Driscoll, Tim R | Ermakov, Sergei Petrovich | Esteghamati, Alireza | Faraon, Emerito Jose A | Farzadfar, Farshad | Felicio, Manuela Mendonca | Fereshtehnejad, Seyed-Mohammad | de Lima, Graça Maria Ferreira | Forouzanfar, Mohammad H | França, Elisabeth B | Gaffikin, Lynne | Gambashidze, Ketevan | Gankpé, Fortuné Gbètoho | Garcia, Ana C | Geleijnse, Johanna M | Gibney, Katherine B | Giroud, Maurice | Glaser, Elizabeth L | Goginashvili, Ketevan | Gona, Philimon | González-Castell, Dinorah | Goto, Atsushi | Gouda, Hebe N | Gugnani, Harish Chander | Gupta, Rahul | Gupta, Rajeev | Hafezi-Nejad, Nima | Hamadeh, Randah Ribhi | Hammami, Mouhanad | Hankey, Graeme J | Harb, Hilda L | Havmoeller, Rasmus | Hay, Simon I | Heredia Pi, Ileana B | Hoek, Hans W | Hosgood, H Dean | Hoy, Damian G | Husseini, Abdullatif | Idrisov, Bulat T | Innos, Kaire | Inoue, Manami | Jacobsen, Kathryn H | Jahangir, Eiman | Jee, Sun Ha | Jensen, Paul N | Jha, Vivekanand | Jiang, Guohong | Jonas, Jost B | Juel, Knud | Kabagambe, Edmond Kato | Kan, Haidong | Karam, Nadim E | Karch, André | Karema, Corine Kakizi | Kaul, Anil | Kawakami, Norito | Kazanjan, Konstantin | Kazi, Dhruv S | Kemp, Andrew H | Kengne, Andre Pascal | Kereselidze, Maia | Khader, Yousef Saleh | Khalifa, Shams Eldin Ali Hassan | Khan, Ejaz Ahmed | Khang, Young-Ho | Knibbs, Luke | Kokubo, Yoshihiro | Kosen, Soewarta | Defo, Barthelemy Kuate | Kulkarni, Chanda | Kulkarni, Veena S | Kumar, G Anil | Kumar, Kaushalendra | Kumar, Ravi B | Kwan, Gene | Lai, Taavi | Lalloo, Ratilal | Lam, Hilton | Lansingh, Van C | Larsson, Anders | Lee, Jong-Tae | Leigh, James | Leinsalu, Mall | Leung, Ricky | Li, Xiaohong | Li, Yichong | Li, Yongmei | Liang, Juan | Liang, Xiaofeng | Lim, Stephen S | Lin, Hsien-Ho | Lipshultz, Steven E | Liu, Shiwei | Liu, Yang | Lloyd, Belinda K | London, Stephanie J | Lotufo, Paulo A | Ma, Jixiang | Ma, Stefan | Machado, Vasco Manuel Pedro | Mainoo, Nana Kwaku | Majdan, Marek | Mapoma, Christopher Chabila | Marcenes, Wagner | Marzan, Melvin Barrientos | Mason-Jones, Amanda J | Mehndiratta, Man Mohan | Mejia-Rodriguez, Fabiola | Memish, Ziad A | Mendoza, Walter | Miller, Ted R | Mills, Edward J | Mokdad, Ali H | Mola, Glen Liddell | Monasta, Lorenzo | de la Cruz Monis, Jonathan | Hernandez, Julio Cesar Montañez | Moore, Ami R | Moradi-Lakeh, Maziar | Mori, Rintaro | Mueller, Ulrich O | Mukaigawara, Mitsuru | Naheed, Aliya | Naidoo, Kovin S | Nand, Devina | Nangia, Vinay | Nash, Denis | Nejjari, Chakib | Nelson, Robert G | Neupane, Sudan Prasad | Newton, Charles R | Ng, Marie | Nieuwenhuijsen, Mark J | Nisar, Muhammad Imran | Nolte, Sandra | Norheim, Ole F | Nyakarahuka, Luke | Oh, In-Hwan | Ohkubo, Takayoshi | Olusanya, Bolajoko O | Omer, Saad B | Opio, John Nelson | Orisakwe, Orish Ebere | Pandian, Jeyaraj D | Papachristou, Christina | Park, Jae-Hyun | Caicedo, Angel J Paternina | Patten, Scott B | Paul, Vinod K | Pavlin, Boris Igor | Pearce, Neil | Pereira, David M | Pesudovs, Konrad | Petzold, Max | Poenaru, Dan | Polanczyk, Guilherme V | Polinder, Suzanne | Pope, Dan | Pourmalek, Farshad | Qato, Dima | Quistberg, D Alex | Rafay, Anwar | Rahimi, Kazem | Rahimi-Movaghar, Vafa | Rahman, Sajjad ur | Raju, Murugesan | Rana, Saleem M | Refaat, Amany | Ronfani, Luca | Roy, Nobhojit | Sánchez Pimienta, Tania Georgina | Sahraian, Mohammad Ali | Salomon, Joshua A | Sampson, Uchechukwu | Santos, Itamar S | Sawhney, Monika | Sayinzoga, Felix | Schneider, Ione J C | Schumacher, Austin | Schwebel, David C | Seedat, Soraya | Sepanlou, Sadaf G | Servan-Mori, Edson E | Shakh-Nazarova, Marina | Sheikhbahaei, Sara | Shibuya, Kenji | Shin, Hwashin Hyun | Shiue, Ivy | Sigfusdottir, Inga Dora | Silberberg, Donald H | Silva, Andrea P | Singh, Jasvinder A | Skirbekk, Vegard | Sliwa, Karen | Soshnikov, Sergey S | Sposato, Luciano A | Sreeramareddy, Chandrashekhar T | Stroumpoulis, Konstantinos | Sturua, Lela | Sykes, Bryan L | Tabb, Karen M | Talongwa, Roberto Tchio | Tan, Feng | Teixeira, Carolina Maria | Tenkorang, Eric Yeboah | Terkawi, Abdullah Sulieman | Thorne-Lyman, Andrew L | Tirschwell, David L | Towbin, Jeffrey A | Tran, Bach X | Tsilimbaris, Miltiadis | Uchendu, Uche S | Ukwaja, Kingsley N | Undurraga, Eduardo A | Uzun, Selen Begüm | Vallely, Andrew J | van Gool, Coen H | Vasankari, Tommi J | Vavilala, Monica S | Venketasubramanian, N | Villalpando, Salvador | Violante, Francesco S | Vlassov, Vasiliy Victorovich | Vos, Theo | Waller, Stephen | Wang, Haidong | Wang, Linhong | Wang, XiaoRong | Wang, Yanping | Weichenthal, Scott | Weiderpass, Elisabete | Weintraub, Robert G | Westerman, Ronny | Wilkinson, James D | Woldeyohannes, Solomon Meseret | Wong, John Q | Wordofa, Muluemebet Abera | Xu, Gelin | Yang, Yang C | Yano, Yuichiro | Yentur, Gokalp Kadri | Yip, Paul | Yonemoto, Naohiro | Yoon, Seok-Jun | Younis, Mustafa Z | Yu, Chuanhua | Jin, Kim Yun | El SayedZaki, Maysaa | Zhao, Yong | Zheng, Yingfeng | Zhou, Maigeng | Zhu, Jun | Zou, Xiao Nong | Lopez, Alan D | Naghavi, Mohsen | Murray, Christopher J L | Lozano, Rafael
Lancet  2014;384(9947):980-1004.
Summary
Background
The fifth Millennium Development Goal (MDG 5) established the goal of a 75% reduction in the maternal mortality ratio (MMR; number of maternal deaths per 100 000 livebirths) between 1990 and 2015. We aimed to measure levels and track trends in maternal mortality, the key causes contributing to maternal death, and timing of maternal death with respect to delivery.
Methods
We used robust statistical methods including the Cause of Death Ensemble model (CODEm) to analyse a database of data for 7065 site-years and estimate the number of maternal deaths from all causes in 188 countries between 1990 and 2013. We estimated the number of pregnancy-related deaths caused by HIV on the basis of a systematic review of the relative risk of dying during pregnancy for HIV-positive women compared with HIV-negative women. We also estimated the fraction of these deaths aggravated by pregnancy on the basis of a systematic review. To estimate the numbers of maternal deaths due to nine different causes, we identified 61 sources from a systematic review and 943 site-years of vital registration data. We also did a systematic review of reports about the timing of maternal death, identifying 142 sources to use in our analysis. We developed estimates for each country for 1990–2013 using Bayesian meta-regression. We estimated 95% uncertainty intervals (UIs) for all values.
Findings
292 982 (95% UI 261 017–327 792) maternal deaths occurred in 2013, compared with 376 034 (343 483–407 574) in 1990. The global annual rate of change in the MMR was −0·3% (−1·1 to 0·6) from 1990 to 2003, and −2·7% (−3·9 to −1·5) from 2003 to 2013, with evidence of continued acceleration. MMRs reduced consistently in south, east, and southeast Asia between 1990 and 2013, but maternal deaths increased in much of sub-Saharan Africa during the 1990s. 2070 (1290–2866) maternal deaths were related to HIV in 2013, 0·4% (0·2–0·6) of the global total. MMR was highest in the oldest age groups in both 1990 and 2013. In 2013, most deaths occurred intrapartum or postpartum. Causes varied by region and between 1990 and 2013. We recorded substantial variation in the MMR by country in 2013, from 956·8 (685·1–1262·8) in South Sudan to 2·4 (1·6–3·6) in Iceland.
Interpretation
Global rates of change suggest that only 16 countries will achieve the MDG 5 target by 2015. Accelerated reductions since the Millennium Declaration in 2000 coincide with increased development assistance for maternal, newborn, and child health. Setting of targets and associated interventions for after 2015 will need careful consideration of regions that are making slow progress, such as west and central Africa.
Funding
Bill & Melinda Gates Foundation.
doi:10.1016/S0140-6736(14)60696-6
PMCID: PMC4255481  PMID: 24797575
5.  IL10 and TNF variants and risk of non-Hodgkin lymphoma among three Asian populations 
Genetic variation in immune-related genes, such as IL10 and TNF, have been associated with the development of non-Hodgkin lymphoma (NHL) in Caucasian populations. To test the hypothesis that IL10 and TNF polymorphisms may be associated with NHL risk in Asian populations, we genotyped 20 single nucleotide polymorphisms (SNPs) within the IL10 and TNF/LTA loci in three independent case–control studies (2635 cases and 4234 controls). IL10 rs1800871, rs1800872, and rs1800896 were genotyped in all three studies, while 5 of the remaining SNPs were genotyped in two studies, and 12 in a single study. IL10 rs1800896 was associated with B cell lymphoma [per-allele odds ratio (OR) = 1.25, 95 % confidence interval (CI) 1.08–1.45; ptrend = 0.003], specifically diffuse large B cell lymphoma (DLBCL) (per-allele OR = 1.29, 95 % CI 1.08–1.53; ptrend = 0.004), as well as T cell lymphoma (per-allele OR = 1.44, 95 % CI 1.13–1.82; ptrend = 0.003). TNF rs1800629, which was genotyped in only two of our studies, was also associated with B cell lymphoma (per-allele OR = 0.77, 95 % CI 0.64–0.91; ptrend = 0.003), specifically DLBCL (per-allele OR = 0.69, 95 % CI 0.55–0.86; ptrend = 0.001). Our findings suggest that genetic variation in IL10 and TNF may also play a role in lymphomagenesis in Asian populations.
doi:10.1007/s12185-013-1345-5
PMCID: PMC4241501  PMID: 23640160
NHL; DLBCL; Subtype; Asia; IL10; TNF
6.  Occupational exposure to formaldehyde and alterations in lymphocyte subsets 
Background
Formaldehyde is used in many occupational settings, most notably in manufacturing, health care, and embalming. Formaldehyde has been classified as a human carcinogen, but its mechanism of action remains uncertain.
Methods
We carried out a cross-sectional study of 43 formaldehyde exposed-workers and 51 unexposed age and sex-matched controls in Guangdong, China to study formaldehyde’s early biologic effects. To follow-up our previous report that the total lymphocyte count was decreased in formaldehyde-exposed workers compared to controls, we evaluated each major lymphocyte subset (i.e., CD4+ T cells, CD8+ T cells, natural killer (NK) cells, and B cells) and T cell lymphocyte subset (CD4+ naïve and memory T cells, CD8+ naïve and memory T cells, and regulatory T cells). Linear regression of each subset was used to test for differences between exposed workers and controls, adjusting for potential confounders.
Results
Total NK cell and T cell counts were about 24% (p=0.037) and 16% (p=0.0042) lower, respectively, among exposed workers. Among certain T cell subsets, decreased counts among exposed workers were observed for CD8+ T cells (p=0.026), CD8+ effector memory T cells (p=0.018), and regulatory T cells (CD4+FoxP3+: p=0.04; CD25+FoxP3+: p=0.008).
Conclusions
Formaldehyde exposed-workers experienced decreased counts of NK cells, regulatory T cells, and CD8+ effector memory T cells; however, due to the small sample size these findings need to be confirmed in larger studies.
doi:10.1002/ajim.22088
PMCID: PMC3493854  PMID: 22767408
formaldehyde; NK cell; B cell; T cell; T cell subset
7.  Combustion-derived nanoparticle exposure and household solid fuel use in Xuanwei and Fuyuan, China 
Combustion-derived nanoparticles (CDNPs) have not been readably measurable until recently. We conducted a pilot study to determine CDNP levels during solid fuel burning. The aggregate surface area of CDNP (μm2/cm3) was monitored continuously in 15 Chinese homes using varying fuel types (i.e. bituminous coal, anthracite coal, wood) and stove types (i.e. portable stoves, stoves with chimneys, firepits). Information on fuel burning activities was collected and PM2.5 levels were measured. Substantial exposure differences were observed during solid fuel burning (mean: 228.1 μm2/cm3) compared to times without combustion (mean: 14.0 μm2/cm3). The observed levels during burning were reduced by about four-fold in homes with a chimney (mean: 92.1 μm2/cm3; n = 9), and effects were present for all fuel types. Each home’s CDNP measurement was only moderately correlated with the respective PM2.5 measurements (r2 = 0.43; p = 0.11). Our results indicate that household coal and wood burning contributes to indoor nanoparticle levels, which are not fully reflected in PM2.5 measurements.
doi:10.1080/09603123.2012.684147
PMCID: PMC4231791  PMID: 22639822
coal; biomass; wood; stove; nanoparticle; respiratory
9.  Global, regional, and national incidence and mortality for HIV, tuberculosis, and malaria during 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013 
Murray, Christopher J L | Ortblad, Katrina F | Guinovart, Caterina | Lim, Stephen S | Wolock, Timothy M | Roberts, D Allen | Dansereau, Emily A | Graetz, Nicholas | Barber, Ryan M | Brown, Jonathan C | Wang, Haidong | Duber, Herbert C | Naghavi, Mohsen | Dicker, Daniel | Dandona, Lalit | Salomon, Joshua A | Heuton, Kyle R | Foreman, Kyle | Phillips, David E | Fleming, Thomas D | Flaxman, Abraham D | Phillips, Bryan K | Johnson, Elizabeth K | Coggeshall, Megan S | Abd-Allah, Foad | Ferede, Semaw | Abraham, Jerry P | Abubakar, Ibrahim | Abu-Raddad, Laith J | Abu-Rmeileh, Niveen Me | Achoki, Tom | Adeyemo, Austine Olufemi | Adou, Arsène Kouablan | Adsuar, José C | Agardh, Emilie Elisabet | Akena, Dickens | Al Kahbouri, Mazin J | Alasfoor, Deena | Albittar, Mohammed I | Alcalá-Cerra, Gabriel | Alegretti, Miguel Angel | Alemu, Zewdie Aderaw | Alfonso-Cristancho, Rafael | Alhabib, Samia | Ali, Raghib | Alla, Francois | Allen, Peter J | Alsharif, Ubai | Alvarez, Elena | Alvis-Guzman, Nelson | Amankwaa, Adansi A | Amare, Azmeraw T | Amini, Hassan | Ammar, Walid | Anderson, Benjamin O | Antonio, Carl Abelardo T | Anwari, Palwasha | Ärnlöv, Johan | Arsenijevic, Valentina S Arsic | Artaman, Ali | Asghar, Rana J | Assadi, Reza | Atkins, Lydia S | Badawi, Alaa | Balakrishnan, Kalpana | Banerjee, Amitava | Basu, Sanjay | Beardsley, Justin | Bekele, Tolesa | Bell, Michelle L | Bernabe, Eduardo | Beyene, Tariku Jibat | Bhala, Neeraj | Bhalla, Ashish | Bhutta, Zulfiqar A | Abdulhak, Aref Bin | Binagwaho, Agnes | Blore, Jed D | Basara, Berrak Bora | Bose, Dipan | Brainin, Michael | Breitborde, Nicholas | Castañeda-Orjuela, Carlos A | Catalá-López, Ferrán | Chadha, Vineet K | Chang, Jung-Chen | Chiang, Peggy Pei-Chia | Chuang, Ting-Wu | Colomar, Mercedes | Cooper, Leslie Trumbull | Cooper, Cyrus | Courville, Karen J | Cowie, Benjamin C | Criqui, Michael H | Dandona, Rakhi | Dayama, Anand | De Leo, Diego | Degenhardt, Louisa | Del Pozo-Cruz, Borja | Deribe, Kebede | Jarlais, Don C Des | Dessalegn, Muluken | Dharmaratne, Samath D | Dilmen, Uğur | Ding, Eric L | Driscoll, Tim R | Durrani, Adnan M | Ellenbogen, Richard G | Ermakov, Sergey Petrovich | Esteghamati, Alireza | Faraon, Emerito Jose A | Farzadfar, Farshad | Fereshtehnejad, Seyed-Mohammad | Fijabi, Daniel Obadare | Forouzanfar, Mohammad H | Paleo, Urbano Fra. | Gaffikin, Lynne | Gamkrelidze, Amiran | Gankpé, Fortuné Gbètoho | Geleijnse, Johanna M | Gessner, Bradford D | Gibney, Katherine B | Ginawi, Ibrahim Abdelmageem Mohamed | Glaser, Elizabeth L | Gona, Philimon | Goto, Atsushi | Gouda, Hebe N | Gugnani, Harish Chander | Gupta, Rajeev | Gupta, Rahul | Hafezi-Nejad, Nima | Hamadeh, Randah Ribhi | Hammami, Mouhanad | Hankey, Graeme J | Harb, Hilda L | Haro, Josep Maria | Havmoeller, Rasmus | Hay, Simon I | Hedayati, Mohammad T | Pi, Ileana B Heredia | Hoek, Hans W | Hornberger, John C | Hosgood, H Dean | Hotez, Peter J | Hoy, Damian G | Huang, John J | Iburg, Kim M | Idrisov, Bulat T | Innos, Kaire | Jacobsen, Kathryn H | Jeemon, Panniyammakal | Jensen, Paul N | Jha, Vivekanand | Jiang, Guohong | Jonas, Jost B | Juel, Knud | Kan, Haidong | Kankindi, Ida | Karam, Nadim E | Karch, André | Karema, Corine Kakizi | Kaul, Anil | Kawakami, Norito | Kazi, Dhruv S | Kemp, Andrew H | Kengne, Andre Pascal | Keren, Andre | Kereselidze, Maia | Khader, Yousef Saleh | Khalifa, Shams Eldin Ali Hassan | Khan, Ejaz Ahmed | Khang, Young-Ho | Khonelidze, Irma | Kinfu, Yohannes | Kinge, Jonas M | Knibbs, Luke | Kokubo, Yoshihiro | Kosen, S | Defo, Barthelemy Kuate | Kulkarni, Veena S | Kulkarni, Chanda | Kumar, Kaushalendra | Kumar, Ravi B | Kumar, G Anil | Kwan, Gene F | Lai, Taavi | Balaji, Arjun Lakshmana | Lam, Hilton | Lan, Qing | Lansingh, Van C | Larson, Heidi J | Larsson, Anders | Lee, Jong-Tae | Leigh, James | Leinsalu, Mall | Leung, Ricky | Li, Yichong | Li, Yongmei | De Lima, Graça Maria Ferreira | Lin, Hsien-Ho | Lipshultz, Steven E | Liu, Shiwei | Liu, Yang | Lloyd, Belinda K | Lotufo, Paulo A | Machado, Vasco Manuel Pedro | Maclachlan, Jennifer H | Magis-Rodriguez, Carlos | Majdan, Marek | Mapoma, Christopher Chabila | Marcenes, Wagner | Marzan, Melvin Barrientos | Masci, Joseph R | Mashal, Mohammad Taufiq | Mason-Jones, Amanda J | Mayosi, Bongani M | Mazorodze, Tasara T | Mckay, Abigail Cecilia | Meaney, Peter A | Mehndiratta, Man Mohan | Mejia-Rodriguez, Fabiola | Melaku, Yohannes Adama | Memish, Ziad A | Mendoza, Walter | Miller, Ted R | Mills, Edward J | Mohammad, Karzan Abdulmuhsin | Mokdad, Ali H | Mola, Glen Liddell | Monasta, Lorenzo | Montico, Marcella | Moore, Ami R | Mori, Rintaro | Moturi, Wilkister Nyaora | Mukaigawara, Mitsuru | Murthy, Kinnari S | Naheed, Aliya | Naidoo, Kovin S | Naldi, Luigi | Nangia, Vinay | Narayan, K M Venkat | Nash, Denis | Nejjari, Chakib | Nelson, Robert G | Neupane, Sudan Prasad | Newton, Charles R | Ng, Marie | Nisar, Muhammad Imran | Nolte, Sandra | Norheim, Ole F | Nowaseb, Vincent | Nyakarahuka, Luke | Oh, In-Hwan | Ohkubo, Takayoshi | Olusanya, Bolajoko O | Omer, Saad B | Opio, John Nelson | Orisakwe, Orish Ebere | Pandian, Jeyaraj D | Papachristou, Christina | Caicedo, Angel J Paternina | Patten, Scott B | Paul, Vinod K | Pavlin, Boris Igor | Pearce, Neil | Pereira, David M | Pervaiz, Aslam | Pesudovs, Konrad | Petzold, Max | Pourmalek, Farshad | Qato, Dima | Quezada, Amado D | Quistberg, D Alex | Rafay, Anwar | Rahimi, Kazem | Rahimi-Movaghar, Vafa | Rahman, Sajjad Ur | Raju, Murugesan | Rana, Saleem M | Razavi, Homie | Reilly, Robert Quentin | Remuzzi, Giuseppe | Richardus, Jan Hendrik | Ronfani, Luca | Roy, Nobhojit | Sabin, Nsanzimana | Saeedi, Mohammad Yahya | Sahraian, Mohammad Ali | Samonte, Genesis May J | Sawhney, Monika | Schneider, Ione J C | Schwebel, David C | Seedat, Soraya | Sepanlou, Sadaf G | Servan-Mori, Edson E | Sheikhbahaei, Sara | Shibuya, Kenji | Shin, Hwashin Hyun | Shiue, Ivy | Shivakoti, Rupak | Sigfusdottir, Inga Dora | Silberberg, Donald H | Silva, Andrea P | Simard, Edgar P | Singh, Jasvinder A | Skirbekk, Vegard | Sliwa, Karen | Soneji, Samir | Soshnikov, Sergey S | Sreeramareddy, Chandrashekhar T | Stathopoulou, Vasiliki Kalliopi | Stroumpoulis, Konstantinos | Swaminathan, Soumya | Sykes, Bryan L | Tabb, Karen M | Talongwa, Roberto Tchio | Tenkorang, Eric Yeboah | Terkawi, Abdullah Sulieman | Thomson, Alan J | Thorne-Lyman, Andrew L | Towbin, Jeffrey A | Traebert, Jefferson | Tran, Bach X | Dimbuene, Zacharie Tsala | Tsilimbaris, Miltiadis | Uchendu, Uche S | Ukwaja, Kingsley N | Uzun, Selen Begüm | Vallely, Andrew J | Vasankari, Tommi J | Venketasubramanian, N | Violante, Francesco S | Vlassov, Vasiliy Victorovich | Vollset, Stein Emil | Waller, Stephen | Wallin, Mitchell T | Wang, Linhong | Wang, XiaoRong | Wang, Yanping | Weichenthal, Scott | Weiderpass, Elisabete | Weintraub, Robert G | Westerman, Ronny | White, Richard A | Wilkinson, James D | Williams, Thomas Neil | Woldeyohannes, Solomon Meseret | Wong, John Q | Xu, Gelin | Yang, Yang C | Yano, Yuichiro | Yentur, Gokalp Kadri | Yip, Paul | Yonemoto, Naohiro | Yoon, Seok-Jun | Younis, Mustafa | Yu, Chuanhua | Jin, Kim Yun | El Sayed Zaki, Maysaa | Zhao, Yong | Zheng, Yingfeng | Zhou, Maigeng | Zhu, Jun | Zou, Xiao Nong | Lopez, Alan D | Vos, Theo
Lancet  2014;384(9947):1005-1070.
Summary
Background
The Millennium Declaration in 2000 brought special global attention to HIV, tuberculosis, and malaria through the formulation of Millennium Development Goal (MDG) 6. The Global Burden of Disease 2013 study provides a consistent and comprehensive approach to disease estimation for between 1990 and 2013, and an opportunity to assess whether accelerated progress has occurred since the Millennium Declaration.
Methods
To estimate incidence and mortality for HIV, we used the UNAIDS Spectrum model appropriately modified based on a systematic review of available studies of mortality with and without antiretroviral therapy (ART). For concentrated epidemics, we calibrated Spectrum models to fit vital registration data corrected for misclassification of HIV deaths. In generalised epidemics, we minimised a loss function to select epidemic curves most consistent with prevalence data and demographic data for all-cause mortality. We analysed counterfactual scenarios for HIV to assess years of life saved through prevention of mother-to-child transmission (PMTCT) and ART. For tuberculosis, we analysed vital registration and verbal autopsy data to estimate mortality using cause of death ensemble modelling. We analysed data for corrected case-notifications, expert opinions on the case-detection rate, prevalence surveys, and estimated cause-specific mortality using Bayesian meta-regression to generate consistent trends in all parameters. We analysed malaria mortality and incidence using an updated cause of death database, a systematic analysis of verbal autopsy validation studies for malaria, and recent studies (2010–13) of incidence, drug resistance, and coverage of insecticide-treated bednets.
Findings
Globally in 2013, there were 1·8 million new HIV infections (95% uncertainty interval 1·7 million to 2·1 million), 29·2 million prevalent HIV cases (28·1 to 31·7), and 1·3 million HIV deaths (1·3 to 1·5). At the peak of the epidemic in 2005, HIV caused 1·7 million deaths (1·6 million to 1·9 million). Concentrated epidemics in Latin America and eastern Europe are substantially smaller than previously estimated. Through interventions including PMTCT and ART, 19·1 million life-years (16·6 million to 21·5 million) have been saved, 70·3% (65·4 to 76·1) in developing countries. From 2000 to 2011, the ratio of development assistance for health for HIV to years of life saved through intervention was US$4498 in developing countries. Including in HIV-positive individuals, all-form tuberculosis incidence was 7·5 million (7·4 million to 7·7 million), prevalence was 11·9 million (11·6 million to 12·2 million), and number of deaths was 1·4 million (1·3 million to 1·5 million) in 2013. In the same year and in only individuals who were HIV-negative, all-form tuberculosis incidence was 7·1 million (6·9 million to 7·3 million), prevalence was 11·2 million (10·8 million to 11·6 million), and number of deaths was 1·3 million (1·2 million to 1·4 million). Annualised rates of change (ARC) for incidence, prevalence, and death became negative after 2000. Tuberculosis in HIV-negative individuals disproportionately occurs in men and boys (versus women and girls); 64·0% of cases (63·6 to 64·3) and 64·7% of deaths (60·8 to 70·3). Globally, malaria cases and deaths grew rapidly from 1990 reaching a peak of 232 million cases (143 million to 387 million) in 2003 and 1·2 million deaths (1·1 million to 1·4 million) in 2004. Since 2004, child deaths from malaria in sub-Saharan Africa have decreased by 31·5% (15·7 to 44·1). Outside of Africa, malaria mortality has been steadily decreasing since 1990.
Interpretation
Our estimates of the number of people living with HIV are 18·7% smaller than UNAIDS’s estimates in 2012. The number of people living with malaria is larger than estimated by WHO. The number of people living with HIV, tuberculosis, or malaria have all decreased since 2000. At the global level, upward trends for malaria and HIV deaths have been reversed and declines in tuberculosis deaths have accelerated. 101 countries (74 of which are developing) still have increasing HIV incidence. Substantial progress since the Millennium Declaration is an encouraging sign of the effect of global action.
Funding
Bill & Melinda Gates Foundation.
doi:10.1016/S0140-6736(14)60844-8
PMCID: PMC4202387  PMID: 25059949
10.  Household air pollution and lung cancer in China: a review of studies in Xuanwei 
Chinese Journal of Cancer  2014;33(10):471-475.
Over half of the world's population is exposed to household air pollution from the burning of solid fuels at home. Household air pollution from solid fuel use is a leading risk factor for global disease and remains a major public health problem, especially in low- and mid-income countries. This is a particularly serious problem in China, where many people in rural areas still use coal for household heating and cooking. This review focuses on several decades of research carried out in Xuanwei County, Yunnan Province, where household coal use is a major source of household air pollution and where studies have linked household air pollution exposure to high rates of lung cancer. We conducted a series of case-control and cohort studies in Xuanwei to characterize the lung cancer risk in this population and the factors associated with it. We found lung cancer risk to vary substantially between different coal types, with a higher risk associated with smoky (i.e., bituminous) coal use compared to smokeless (i.e., anthracite) coal use. The installation of a chimney in homes resulted in a substantial reduction in lung cancer incidence and mortality. Overall, our research underscores the need among existing coal users to improve ventilation, use the least toxic fuel, and eventually move toward the use of cleaner fuels, such as gas and electricity.
doi:10.5732/cjc.014.10132
PMCID: PMC4198749  PMID: 25223911
Coal; household air pollution; lung cancer
11.  Genome-wide association analysis identifies new lung cancer susceptibility loci in never-smoking women in Asia 
Lan, Qing | Hsiung, Chao A | Matsuo, Keitaro | Hong, Yun-Chul | Seow, Adeline | Wang, Zhaoming | Hosgood, H Dean | Chen, Kexin | Wang, Jiu-Cun | Chatterjee, Nilanjan | Hu, Wei | Wong, Maria Pik | Zheng, Wei | Caporaso, Neil | Park, Jae Yong | Chen, Chien-Jen | Kim, Yeul Hong | Kim, Young Tae | Landi, Maria Teresa | Shen, Hongbing | Lawrence, Charles | Burdett, Laurie | Yeager, Meredith | Yuenger, Jeffrey | Jacobs, Kevin B | Chang, I-Shou | Mitsudomi, Tetsuya | Kim, Hee Nam | Chang, Gee-Chen | Bassig, Bryan A | Tucker, Margaret | Wei, Fusheng | Yin, Zhihua | Wu, Chen | An, She-Juan | Qian, Biyun | Lee, Victor Ho Fun | Lu, Daru | Liu, Jianjun | Jeon, Hyo-Sung | Hsiao, Chin-Fu | Sung, Jae Sook | Kim, Jin Hee | Gao, Yu-Tang | Tsai, Ying-Huang | Jung, Yoo Jin | Guo, Huan | Hu, Zhibin | Hutchinson, Amy | Wang, Wen-Chang | Klein, Robert | Chung, Charles C | Oh, In-Jae | Chen, Kuan-Yu | Berndt, Sonja I | He, Xingzhou | Wu, Wei | Chang, Jiang | Zhang, Xu-Chao | Huang, Ming-Shyan | Zheng, Hong | Wang, Junwen | Zhao, Xueying | Li, Yuqing | Choi, Jin Eun | Su, Wu-Chou | Park, Kyong Hwa | Sung, Sook Whan | Shu, Xiao-Ou | Chen, Yuh-Min | Liu, Li | Kang, Chang Hyun | Hu, Lingmin | Chen, Chung-Hsing | Pao, William | Kim, Young-Chul | Yang, Tsung-Ying | Xu, Jun | Guan, Peng | Tan, Wen | Su, Jian | Wang, Chih-Liang | Li, Haixin | Sihoe, Alan Dart Loon | Zhao, Zhenhong | Chen, Ying | Choi, Yi Young | Hung, Jen-Yu | Kim, Jun Suk | Yoon, Ho-Il | Cai, Qiuyin | Lin, Chien-Chung | Park, In Kyu | Xu, Ping | Dong, Jing | Kim, Christopher | He, Qincheng | Perng, Reury-Perng | Kohno, Takashi | Kweon, Sun-Seog | Chen, Chih-Yi | Vermeulen, Roel | Wu, Junjie | Lim, Wei-Yen | Chen, Kun-Chieh | Chow, Wong-Ho | Ji, Bu-Tian | Chan, John K C | Chu, Minjie | Li1, Yao-Jen | Yokota, Jun | Li, Jihua | Chen, Hongyan | Xiang, Yong-Bing | Yu, Chong-Jen | Kunitoh, Hideo | Wu, Guoping | Jin, Li | Lo, Yen-Li | Shiraishi, Kouya | Chen, Ying-Hsiang | Lin, Hsien-Chih | Wu, Tangchun | Wu, Yi-Long | Yang, Pan-Chyr | Zhou, Baosen | Shin, Min-Ho | Fraumeni, Joseph F | Lin, Dongxin | Chanock, Stephen J | Rothman, Nathaniel
Nature genetics  2012;44(12):1330-1335.
To identify common genetic variants that contribute to lung cancer susceptibility, we conducted a multistage genome-wide association study of lung cancer in Asian women who never smoked. We scanned 5,510 never-smoking female lung cancer cases and 4,544 controls drawn from 14 studies from mainland China, South Korea, Japan, Singapore, Taiwan, and Hong Kong. We genotyped the most promising variants (associated at P < 5 × 10-6) in an additional 1,099 cases and 2,913 controls. We identified three new susceptibility loci at 10q25.2 (rs7086803, P = 3.54 × 10-18), 6q22.2 (rs9387478, P = 4.14 × 10-10) and 6p21.32 (rs2395185, P = 9.51 × 10-9). We also confirmed associations reported for loci at 5p15.33 and 3q28 and a recently reported finding at 17q24.3. We observed no evidence of association for lung cancer at 15q25 in never-smoking women in Asia, providing strong evidence that this locus is not associated with lung cancer independent of smoking.
doi:10.1038/ng.2456
PMCID: PMC4169232  PMID: 23143601
12.  Global, regional, and national levels of neonatal, infant, and under-5 mortality during 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013 
Wang, Haidong | Liddell, Chelsea A | Coates, Matthew M | Mooney, Meghan D | Levitz, Carly E | Schumacher, Austin E | Apfel, Henry | Iannarone, Marissa | Phillips, Bryan | Lofgren, Katherine T | Sandar, Logan | Dorrington, Rob E | Rakovac, Ivo | Jacobs, Troy A | Liang, Xiaofeng | Zhou, Maigeng | Zhu, Jun | Yang, Gonghuan | Wang, Yanping | Liu, Shiwei | Li, Yichong | Ozgoren, Ayse Abbasoglu | Abera, Semaw Ferede | Abubakar, Ibrahim | Achoki, Tom | Adelekan, Ademola | Ademi, Zanfina | Alemu, Zewdie Aderaw | Allen, Peter J | AlMazroa, Mohammad AbdulAziz | Alvarez, Elena | Amankwaa, Adansi A | Amare, Azmeraw T | Ammar, Walid | Anwari, Palwasha | Cunningham, Solveig Argeseanu | Asad, Majed Masoud | Assadi, Reza | Banerjee, Amitava | Basu, Sanjay | Bedi, Neeraj | Bekele, Tolesa | Bell, Michelle L | Bhutta, Zulfiqar | Blore, Jed | Basara, Berrak Bora | Boufous, Soufiane | Breitborde, Nicholas | Bruce, Nigel G | Bui, Linh Ngoc | Carapetis, Jonathan R | Cárdenas, Rosario | Carpenter, David O | Caso, Valeria | Castro, Ruben Estanislao | Catalá-Lopéz, Ferrán | Cavlin, Alanur | Che, Xuan | Chiang, Peggy Pei-Chia | Chowdhury, Rajiv | Christophi, Costas A | Chuang, Ting-Wu | Cirillo, Massimo | Leite, Iuri da Costa | Courville, Karen J | Dandona, Lalit | Dandona, Rakhi | Davis, Adrian | Dayama, Anand | Deribe, Kebede | Dharmaratne, Samath D | Dherani, Mukesh K | Dilmen, Uğur | Ding, Eric L | Edmond, Karen M | Ermakov, Sergei Petrovich | Farzadfar, Farshad | Fereshtehnejad, Seyed-Mohammad | Fijabi, Daniel Obadare | Foigt, Nataliya | Forouzanfar, Mohammad H | Garcia, Ana C | Geleijnse, Johanna M | Gessner, Bradford D | Goginashvili, Ketevan | Gona, Philimon | Goto, Atsushi | Gouda, Hebe N | Green, Mark A | Greenwell, Karen Fern | Gugnani, Harish Chander | Gupta, Rahul | Hamadeh, Randah Ribhi | Hammami, Mouhanad | Harb, Hilda L | Hay, Simon | Hedayati, Mohammad T | Hosgood, H Dean | Hoy, Damian G | Idrisov, Bulat T | Islami, Farhad | Ismayilova, Samaya | Jha, Vivekanand | Jiang, Guohong | Jonas, Jost B | Juel, Knud | Kabagambe, Edmond Kato | Kazi, Dhruv S | Kengne, Andre Pascal | Kereselidze, Maia | Khader, Yousef Saleh | Khalifa, Shams Eldin Ali Hassan | Khang, Young-Ho | Kim, Daniel | Kinfu, Yohannes | Kinge, Jonas M | Kokubo, Yoshihiro | Kosen, Soewarta | Defo, Barthelemy Kuate | Kumar, G Anil | Kumar, Kaushalendra | Kumar, Ravi B | Lai, Taavi | Lan, Qing | Larsson, Anders | Lee, Jong-Tae | Leinsalu, Mall | Lim, Stephen S | Lipshultz, Steven E | Logroscino, Giancarlo | Lotufo, Paulo A | Lunevicius, Raimundas | Lyons, Ronan Anthony | Ma, Stefan | Mahdi, Abbas Ali | Marzan, Melvin Barrientos | Mashal, Mohammad Taufiq | Mazorodze, Tasara T | McGrath, John J | Memish, Ziad A | Mendoza, Walter | Mensah, George A | Meretoja, Atte | Miller, Ted R | Mills, Edward J | Mohammad, Karzan Abdulmuhsin | Mokdad, Ali H | Monasta, Lorenzo | Montico, Marcella | Moore, Ami R | Moschandreas, Joanna | Msemburi, William T | Mueller, Ulrich O | Muszynska, Magdalena M | Naghavi, Mohsen | Naidoo, Kovin S | Narayan, KM Venkat | Nejjari, Chakib | Ng, Marie | Ngirabega, Jean de Dieu | Nieuwenhuijsen, Mark J | Nyakarahuka, Luke | Ohkubo, Takayoshi | Omer, Saad B | Caicedo, Angel J Paternina | Wyk, Victoria Pillay-van | Pope, Dan | Prabhakaran, Dorairaj | Rahman, Sajjad UR | Rana, Saleem M | Reilly, Robert Quentin | Rojas-Rueda, David | Ronfani, Luca | Rushton, Lesley | Saeedi, Mohammad Yahya | Salomon, Joshua | Sampson, Uchechukwu | Santos, Itamar S | Sawhney, Monika | Schmidt, Jürgen C | Nazarova, Marina Shakh | She, Jun | Sheikhbahaei, Sara | Shibuya, Kenji | Shin, Hwashin Hyun | Shishani, Kawkab | Shiue, Ivy | Sigfusdottir, Inga Dora | Singh, Jasvinder A | Skirbekk, Vegard | Sliwa, Karen | Soshnikov, Sergey S | Sposato, Luciano A | Stathopoulou, Vasiliki Kalliopi | Stroumpoulis, Konstantinos | Tabb, Karen M | Talongwa, Roberto Tchio | Teixeira, Carolina Maria | Terkawi, Abdullah Sulieman | Thomson, Alan J | Lyman, Andrew L Thorne | Toyoshima, Hideaki | Dimbuene, Zacharie Tsala | Uwaliraye, Parfait | Uzun, Selen Begüm | Vasankari, Tommi J | Vasconcelos, Ana Maria Nogales | Vlassov, Vasiliy Victorovich | Vollset, Stein Emil | Vos, Theo | Waller, Stephen | Wan, Xia | Weichenthal, Scott | Weiderpass, Elisabete | Weintraub, Robert G | Westerman, Ronny | Wilkinson, James D | Williams, Hywel C | Yang, Yang C | Yentur, Gokalp Kadri | Yip, Paul | Yonemoto, Naohiro | Younis, Mustafa | Yu, Chuanhua | Jin, Kim Yun | Zaki, Maysaa El Sayed | Zhu, Shankuan | Lopez, Alan D | Murray, Christopher J L
Lancet  2014;384(9947):957-979.
Summary
Background
Remarkable financial and political efforts have been focused on the reduction of child mortality during the past few decades. Timely measurements of levels and trends in under-5 mortality are important to assess progress towards the Millennium Development Goal 4 (MDG 4) target of reduction of child mortality by two thirds from 1990 to 2015, and to identify models of success.
Methods
We generated updated estimates of child mortality in early neonatal (age 0–6 days), late neonatal (7–28 days), postneonatal (29–364 days), childhood (1–4 years), and under-5 (0–4 years) age groups for 188 countries from 1970 to 2013, with more than 29 000 survey, census, vital registration, and sample registration datapoints. We used Gaussian process regression with adjustments for bias and non-sampling error to synthesise the data for under-5 mortality for each country, and a separate model to estimate mortality for more detailed age groups. We used explanatory mixed effects regression models to assess the association between under-5 mortality and income per person, maternal education, HIV child death rates, secular shifts, and other factors. To quantify the contribution of these different factors and birth numbers to the change in numbers of deaths in under-5 age groups from 1990 to 2013, we used Shapley decomposition. We used estimated rates of change between 2000 and 2013 to construct under-5 mortality rate scenarios out to 2030.
Findings
We estimated that 6·3 million (95% UI 6·0–6·6) children under-5 died in 2013, a 64% reduction from 17·6 million (17·1–18·1) in 1970. In 2013, child mortality rates ranged from 152·5 per 1000 livebirths (130·6–177·4) in Guinea-Bissau to 2·3 (1·8–2·9) per 1000 in Singapore. The annualised rates of change from 1990 to 2013 ranged from −6·8% to 0·1%. 99 of 188 countries, including 43 of 48 countries in sub-Saharan Africa, had faster decreases in child mortality during 2000–13 than during 1990–2000. In 2013, neonatal deaths accounted for 41·6% of under-5 deaths compared with 37·4% in 1990. Compared with 1990, in 2013, rising numbers of births, especially in sub-Saharan Africa, led to 1·4 million more child deaths, and rising income per person and maternal education led to 0·9 million and 2·2 million fewer deaths, respectively. Changes in secular trends led to 4·2 million fewer deaths. Unexplained factors accounted for only −1% of the change in child deaths. In 30 developing countries, decreases since 2000 have been faster than predicted attributable to income, education, and secular shift alone.
Interpretation
Only 27 developing countries are expected to achieve MDG 4. Decreases since 2000 in under-5 mortality rates are accelerating in many developing countries, especially in sub-Saharan Africa. The Millennium Declaration and increased development assistance for health might have been a factor in faster decreases in some developing countries. Without further accelerated progress, many countries in west and central Africa will still have high levels of under-5 mortality in 2030.
Funding
Bill & Melinda Gates Foundation, US Agency for International Development.
doi:10.1016/S0140-6736(14)60497-9
PMCID: PMC4165626  PMID: 24797572
13.  A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010 
Lim, Stephen S | Vos, Theo | Flaxman, Abraham D | Danaei, Goodarz | Shibuya, Kenji | Adair-Rohani, Heather | Amann, Markus | Anderson, H Ross | Andrews, Kathryn G | Aryee, Martin | Atkinson, Charles | Bacchus, Loraine J | Bahalim, Adil N | Balakrishnan, Kalpana | Balmes, John | Barker-Collo, Suzanne | Baxter, Amanda | Bell, Michelle L | Blore, Jed D | Blyth, Fiona | Bonner, Carissa | Borges, Guilherme | Bourne, Rupert | Boussinesq, Michel | Brauer, Michael | Brooks, Peter | Bruce, Nigel G | Brunekreef, Bert | Bryan-Hancock, Claire | Bucello, Chiara | Buchbinder, Rachelle | Bull, Fiona | Burnett, Richard T | Byers, Tim E | Calabria, Bianca | Carapetis, Jonathan | Carnahan, Emily | Chafe, Zoe | Charlson, Fiona | Chen, Honglei | Chen, Jian Shen | Cheng, Andrew Tai-Ann | Child, Jennifer Christine | Cohen, Aaron | Colson, K Ellicott | Cowie, Benjamin C | Darby, Sarah | Darling, Susan | Davis, Adrian | Degenhardt, Louisa | Dentener, Frank | Des Jarlais, Don C | Devries, Karen | Dherani, Mukesh | Ding, Eric L | Dorsey, E Ray | Driscoll, Tim | Edmond, Karen | Ali, Suad Eltahir | Engell, Rebecca E | Erwin, Patricia J | Fahimi, Saman | Falder, Gail | Farzadfar, Farshad | Ferrari, Alize | Finucane, Mariel M | Flaxman, Seth | Fowkes, Francis Gerry R | Freedman, Greg | Freeman, Michael K | Gakidou, Emmanuela | Ghosh, Santu | Giovannucci, Edward | Gmel, Gerhard | Graham, Kathryn | Grainger, Rebecca | Grant, Bridget | Gunnell, David | Gutierrez, Hialy R | Hall, Wayne | Hoek, Hans W | Hogan, Anthony | Hosgood, H Dean | Hoy, Damian | Hu, Howard | Hubbell, Bryan J | Hutchings, Sally J | Ibeanusi, Sydney E | Jacklyn, Gemma L | Jasrasaria, Rashmi | Jonas, Jost B | Kan, Haidong | Kanis, John A | Kassebaum, Nicholas | Kawakami, Norito | Khang, Young-Ho | Khatibzadeh, Shahab | Khoo, Jon-Paul | Kok, Cindy | Laden, Francine | Lalloo, Ratilal | Lan, Qing | Lathlean, Tim | Leasher, Janet L | Leigh, James | Li, Yang | Lin, John Kent | Lipshultz, Steven E | London, Stephanie | Lozano, Rafael | Lu, Yuan | Mak, Joelle | Malekzadeh, Reza | Mallinger, Leslie | Marcenes, Wagner | March, Lyn | Marks, Robin | Martin, Randall | McGale, Paul | McGrath, John | Mehta, Sumi | Mensah, George A | Merriman, Tony R | Micha, Renata | Michaud, Catherine | Mishra, Vinod | Hanafiah, Khayriyyah Mohd | Mokdad, Ali A | Morawska, Lidia | Mozaff arian, Dariush | Murphy, Tasha | Naghavi, Mohsen | Neal, Bruce | Nelson, Paul K | Nolla, Joan Miquel | Norman, Rosana | Olives, Casey | Omer, Saad B | Orchard, Jessica | Osborne, Richard | Ostro, Bart | Page, Andrew | Pandey, Kiran D | Parry, Charles D H | Passmore, Erin | Patra, Jayadeep | Pearce, Neil | Pelizzari, Pamela M | Petzold, Max | Phillips, Michael R | Pope, Dan | Pope III, C Arden | Powles, John | Rao, Mayuree | Razavi, Homie | Rehfuess, Eva A | Rehm, Jürgen T | Ritz, Beate | Rivara, Frederick P | Roberts, Thomas | Robinson, Carolyn | Rodriguez-Portales, Jose A | Romieu, Isabelle | Room, Robin | Rosenfeld, Lisa C | Roy, Ananya | Rushton, Lesley | Salomon, Joshua A | Sampson, Uchechukwu | Sanchez-Riera, Lidia | Sanman, Ella | Sapkota, Amir | Seedat, Soraya | Shi, Peilin | Shield, Kevin | Shivakoti, Rupak | Singh, Gitanjali M | Sleet, David A | Smith, Emma | Smith, Kirk R | Stapelberg, Nicolas J C | Steenland, Kyle | Stöckl, Heidi | Stovner, Lars Jacob | Straif, Kurt | Straney, Lahn | Thurston, George D | Tran, Jimmy H | Van Dingenen, Rita | van Donkelaar, Aaron | Veerman, J Lennert | Vijayakumar, Lakshmi | Weintraub, Robert | Weissman, Myrna M | White, Richard A | Whiteford, Harvey | Wiersma, Steven T | Wilkinson, James D | Williams, Hywel C | Williams, Warwick | Wilson, Nicholas | Woolf, Anthony D | Yip, Paul | Zielinski, Jan M | Lopez, Alan D | Murray, Christopher J L | Ezzati, Majid
Lancet  2012;380(9859):2224-2260.
Summary
Background
Quantification of the disease burden caused by different risks informs prevention by providing an account of health loss different to that provided by a disease-by-disease analysis. No complete revision of global disease burden caused by risk factors has been done since a comparative risk assessment in 2000, and no previous analysis has assessed changes in burden attributable to risk factors over time.
Methods
We estimated deaths and disability-adjusted life years (DALYs; sum of years lived with disability [YLD] and years of life lost [YLL]) attributable to the independent effects of 67 risk factors and clusters of risk factors for 21 regions in 1990 and 2010. We estimated exposure distributions for each year, region, sex, and age group, and relative risks per unit of exposure by systematically reviewing and synthesising published and unpublished data. We used these estimates, together with estimates of cause-specific deaths and DALYs from the Global Burden of Disease Study 2010, to calculate the burden attributable to each risk factor exposure compared with the theoretical-minimum-risk exposure. We incorporated uncertainty in disease burden, relative risks, and exposures into our estimates of attributable burden.
Findings
In 2010, the three leading risk factors for global disease burden were high blood pressure (7·0% [95% uncertainty interval 6·2–7·7] of global DALYs), tobacco smoking including second-hand smoke (6·3% [5·5–7·0]), and alcohol use (5·5% [5·0–5·9]). In 1990, the leading risks were childhood underweight (7·9% [6·8–9·4]), household air pollution from solid fuels (HAP; 7·0% [5·6–8·3]), and tobacco smoking including second-hand smoke (6·1% [5·4–6·8]). Dietary risk factors and physical inactivity collectively accounted for 10·0% (95% UI 9·2–10·8) of global DALYs in 2010, with the most prominent dietary risks being diets low in fruits and those high in sodium. Several risks that primarily affect childhood communicable diseases, including unimproved water and sanitation and childhood micronutrient deficiencies, fell in rank between 1990 and 2010, with unimproved water we and sanitation accounting for 0·9% (0·4–1·6) of global DALYs in 2010. However, in most of sub-Saharan Africa childhood underweight, HAP, and non-exclusive and discontinued breastfeeding were the leading risks in 2010, while HAP was the leading risk in south Asia. The leading risk factor in Eastern Europe, most of Latin America, and southern sub-Saharan Africa in 2010 was alcohol use; in most of Asia, North Africa and Middle East, and central Europe it was high blood pressure. Despite declines, tobacco smoking including second-hand smoke remained the leading risk in high-income north America and western Europe. High body-mass index has increased globally and it is the leading risk in Australasia and southern Latin America, and also ranks high in other high-income regions, North Africa and Middle East, and Oceania.
Interpretation
Worldwide, the contribution of different risk factors to disease burden has changed substantially, with a shift away from risks for communicable diseases in children towards those for non-communicable diseases in adults. These changes are related to the ageing population, decreased mortality among children younger than 5 years, changes in cause-of-death composition, and changes in risk factor exposures. New evidence has led to changes in the magnitude of key risks including unimproved water and sanitation, vitamin A and zinc deficiencies, and ambient particulate matter pollution. The extent to which the epidemiological shift has occurred and what the leading risks currently are varies greatly across regions. In much of sub-Saharan Africa, the leading risks are still those associated with poverty and those that affect children.
Funding
Bill & Melinda Gates Foundation.
doi:10.1016/S0140-6736(12)61766-8
PMCID: PMC4156511  PMID: 23245609
14.  History of lung disease and risk of lung cancer in a population with high household fuel combustion exposures in rural China 
Lung cancer (Amsterdam, Netherlands)  2013;81(3):10.1016/j.lungcan.2013.06.019.
History of chronic lung diseases and household coal use for heating and cooking are established risk factors of lung cancer; however, few studies have been able to explore these risk factors simultaneously. Xuanwei, China, has some of the highest rates of lung cancer in China and most residents experience substantial in-home coal smoke exposures. Using a population-based case-control study of 498 lung cancer cases and 498 age-matched controls, we evaluated the risk of lung cancer in relation to coal smoke exposure and history of chronic lung diseases, including chronic obstructive pulmonary disease (COPD), asthma, tuberculosis (TB), chronic bronchitis, and emphysema. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated by conditional logistic regression adjusting for potential confounders. We observed an increased risk of lung cancer with history of any chronic lung disease among males (OR=14.2; 95%CI =4.3 to 46.9), females (OR=2.6; 95%CI =1.1 to 6.3), smokers (OR=12.7; 95%CI =3.5 to 45.8), and nonsmokers (OR=2.6; 95%CI =1.1 to 6.4). Specifically, TB (OR=83.7; 95%CI =11.0 to 634.7), COPD (OR=3.2; 95%CI =1.7 to 6.0), and emphysema and chronic bronchitis (OR=3.3; 95%CI =1.7 to 6.4) were associated with increased risks. These findings suggest that history of chronic lung diseases may also increase risk of lung cancer in populations with indoor coal smoke exposures.
doi:10.1016/j.lungcan.2013.06.019
PMCID: PMC3845667  PMID: 23891511
Chronic lung disease; lung cancer; never smoking; Xuanwei; China
15.  Polymorphisms in integrin genes and lymphoma risk 
Leukemia research  2011;35(7):968-970.
Immune deficiency is one of the best characterized and strongest known risk factors for non-Hodgkin lymphoma (NHL). We studied the association between single nucleotide polymorphisms (SNPs) in integrin genes that are important components in human innate immunity and the risk of NHL in a population-based case–control study of women in Connecticut, USA. A total of 373 tag SNPs in 33 gene regions were included in the analysis of 448 cases and 525 controls. The ADAM19 rs11466782 SNP was associated with an increased risk of lymphoma (OR, 1.73; 95 % CI, 1.28–2.35; P additive = 0.0004), and the ICAM3 rs2304240 (OR, 0.67; 95 % CI, 0.52–0.86; P additive = 0.002) and the PTGDR rs708486 SNPs (OR, 0.75; 95 % CI, 0.63–0.90; P additive = 0.002) were associated with reduced risk of lymphoma. Two gene regions (ADAM19 (P=0.009) and ICAM3 (P=0.009)) displayed global associations with lymphoma risk at the P<0.01 level. While our results suggest that genetic polymorphisms in integrin genes may play a role in the genesis of lymphoma in women, they should be viewed as exploratory until they are replicated in additional populations.
doi:10.1016/j.leukres.2010.12.012
PMCID: PMC3232182  PMID: 21239057
lymphoma; integrin; innate immunity; single nucleotide polymorphism
16.  A pooled analysis of three studies evaluating genetic variation in innate immunity genes and non-Hodgkin lymphoma risk 
British Journal of Haematology  2011;152(6):721-726.
Summary
Genetic variation in immune-related genes may play a role in the development of non-Hodgkin lymphoma (NHL). To test the hypothesis that innate immunity polymorphisms may be associated with NHL risk, we genotyped 144 tag single nucleotide polymorphisms (tagSNPs) capturing common genetic variation within 12 innate immunity gene regions in three independent population-based case-control studies (1946 cases and 1808 controls). Gene-based analyses found IL1RN to be associated with NHL risk (minP = 0.03); specifically, IL1RN rs2637988 was associated with an increased risk of NHL (per-allele odds ratio = 1.15, 95% confidence interval = 1.05 – 1.27; ptrend = 0.003), which was consistent across study, subtype, and gender. FCGR2A was also associated with a decreased risk of the follicular lymphoma NHL subtype (minP = 0.03). Our findings suggest that genetic variation in IL1RN and FCGR2A may play a role in lymphomagenesis. Given that conflicting results have been reported regarding the association between IL1RN SNPs and NHL risk, a larger number of innate immunity genes with sufficient genomic coverage should be evaluated systematically across many studies.
doi:10.1111/j.1365-2141.2010.08518.x
PMCID: PMC3253820  PMID: 21250972
non-Hodgkin lymphoma; immune; innate immunity; genetic variation; single nucleotide polymorphisms
17.  Genetic variant in TP63 on locus 3q28 is associated with risk of lung adenocarcinoma among never-smoking females in Asia 
Hosgood, H. Dean | Wang, Wen-Chang | Hong, Yun-Chul | Wang, Jiu-Cun | Chen, Kexin | Chang, I-Shou | Chen, Chien-Jen | Lu, Daru | Yin, Zhihua | Wu, Chen | Zheng, Wei | Qian, Biyun | Park, Jae Yong | Kim, Yeul Hong | Chatterjee, Nilanjan | Chen, Ying | Chang, Gee-Chen | Hsiao, Chin-Fu | Yeager, Meredith | Tsai, Ying-Huang | Wei, Hu | Kim, Young Tae | Wu, Wei | Zhao, Zhenhong | Chow, Wong-Ho | Zhu, Xiaoling | Lo, Yen-Li | Sung, Sook Whan | Chen, Kuan-Yu | Yuenger, Jeff | Kim, Joo Hyun | Huang, Liming | Chen, Ying-Hsiang | Gao, Yu-Tang | Kim, Jin Hee | Huang, Ming-Shyan | Jung, Tae Hoon | Caporaso, Neil | Zhao, Xueying | Huan, Zhang | Yu, Dianke | Kim, Chang Ho | Su, Wu-Chou | Shu, Xiao-Ou | Kim, In-San | Bassig, Bryan | Chen, Yuh-Min | Cha, Sung Ick | Tan, Wen | Chen, Hongyan | Yang, Tsung-Ying | Sung, Jae Sook | Wang, Chih-Liang | Li, Xuelian | Park, Kyong Hwa | Yu, Chong-Jen | Ryu, Jeong-Seon | Xiang, Yongbing | Hutchinson, Amy | Kim, Jun Suk | Cai, Qiuyin | Landi, Maria Teresa | Lee, Kyoung-Mu | Hung, Jen-Yu | Park, Ju-Yeon | Tucker, Margaret | Lin, Chien-Chung | Ren, Yangwu | Perng, Reury-Perng | Chen, Chih-Yi | Jin, Li | Chen, Kun-Chieh | Li, Yao-Jen | Chiu, Yu-Fang | Tsai, Fang-Yu | Yang, Pan-Chyr | Fraumeni, Joseph F. | Seow, Adeline | Lin, Dongxin | Zhou, Baosen | Chanock, Stephen | Hsiung, Chao Agnes | Rothman, Nathaniel | Lan, Qing
Human genetics  2012;131(7):10.1007/s00439-012-1144-8.
A recent genome-wide association study (GWAS) of subjects from Japan and South Korea reported a novel association between the TP63 locus on chromosome 3q28 and risk of lung adenocarcinoma (p = 7.3 × 10−12); however, this association did not achieve genome-wide significance (p < 10−7) among never-smoking males or females. To determine if this association with lung cancer risk is independent of tobacco use, we genotyped the TP63 SNPs reported by the previous GWAS (rs10937405 and rs4488809) in 3,467 never-smoking female lung cancer cases and 3,787 never-smoking female controls from 10 studies conducted in Taiwan, Mainland China, South Korea, and Singapore. Genetic variation in rs10937405 was associated with risk of lung adenocarcinoma [n = 2,529 cases; p = 7.1 × 10−8; allelic risk = 0.80, 95% confidence interval (CI) = 0.74–0.87]. There was also evidence of association with squamous cell carcinoma of the lung (n = 302 cases; p = 0.037; allelic risk = 0.82, 95% CI = 0.67–0.99). Our findings provide strong evidence that genetic variation in TP63 is associated with the risk of lung adenocarcinoma among Asian females in the absence of tobacco smoking.
doi:10.1007/s00439-012-1144-8
PMCID: PMC3875137  PMID: 22367405
18.  Decreased Numbers of CD4+ Naive and Effector Memory T Cells, and CD8+ Naïve T Cells, are Associated with Trichloroethylene Exposure 
Trichloroethylene (TCE) is a volatile chlorinated organic compound that is commonly used as a solvent for lipophilic compounds. Although recognized as an animal carcinogen, TCE’s carcinogenic potential in humans is still uncertain. We have carried out a cross-sectional study of 80 workers exposed to TCE and 96 unexposed controls matched on age and sex in Guangdong, China to study TCE’s early biologic effects. We previously reported that the total lymphocyte count and each of the major lymphocyte subsets (i.e., CD4+ T cells, CD8+ T cells, natural killer cells, and B cells) were decreased in TCE-exposed workers compared to controls, suggesting a selective effect on lymphoid progenitors, and/or lymphocyte survival. To explore which T lymphocyte subsets are affected in the same study population, we investigated the effect of TCE exposure on the numbers of CD4+ naïve and memory T cells, CD8+ naïve and memory T cells, and regulatory T cells by FACS analysis. Linear regression of each subset was used to test for differences between exposed workers and controls adjusting for potential confounders. We observed that CD4+ and CD8+ naïve T cell counts were about 8% (p = 0.056) and 17% (p = 0.0002) lower, respectively, among exposed workers. CD4+ effector memory T cell counts were decreased by about 20% among TCE-exposed workers compared to controls (p = 0.001). The selective targeting of TCE on CD8+ naive and possibly CD4+ naive T cells, and CD4+ effector memory T cells, provide further insights into the immunosuppression-related response of human immune cells upon TCE exposure.
doi:10.3389/fonc.2011.00053
PMCID: PMC3355872  PMID: 22649769
trichloroethylene; lymphocyte; CD4; CD8; naïve; memory
19.  Genetic variation in cell cycle and apoptosis related genes and multiple myeloma risk 
Leukemia research  2009;33(12):1609-1614.
Genetic variation may be an important risk factor for multiple myeloma. A hallmark of tumor formation and growth is cell cycle dysregulation and apoptosis avoidance. We previously reported the association of genetic variation in caspase genes, the apoptotic-regulating family, and multiple myeloma risk. To further examine if genetic variation in key cell cycle and apoptosis genes alters multiple myeloma risk, we genotyped 276 tag SNPs in 27 gene regions in a population-based case-control study of non-Hispanic Caucasian women (108 cases; 482 controls) in Connecticut. Logistic regression assessed the effect of each SNP on multiple myeloma risk and the minP test assessed the association at the gene region level. Three gene regions were significantly associated with risk of multiple myeloma (BAX minP = 0.018, CASP9 minP = 0.025, and RIPK1 minP = 0.037). Further explorations identified the most significant variant of BAX, RIPK1, and CASP9 to be rs1042265, rs9391981, and rs751643, respectively. The A variant at rs1042265 (ORGA+AA = 0.40, 95%CI = 0.21 – 0.78) and the C variant at rs9391981 (ORGC+CC = 0.32, 95%CI = 0.12 – 0.81) were associated with a decreased risk of multiple myeloma. The G variant at rs7516435 was associated with an increased risk of multiple myeloma (ORAG = 1.48, 95%CI = 0.94 – 2.32; ORGG = 2.59, 95%CI = 1.30 – 5.15; ptrend = 0.005). Haplotype analyses supported the SNP findings. These findings suggest that genetic variation in cell cycle and apoptosis genes may play a key role in multiple myeloma and warrant further investigation through replication studies.
doi:10.1016/j.leukres.2009.03.013
PMCID: PMC2749910  PMID: 19362737
multiple myeloma; caspase; BAX; RIPK1; cell cycle
20.  PTEN IDENTIFIED AS IMPORTANT RISK FACTOR OF CHRONIC OBSTRUCTIVE PULMONARY DISEASE 
Respiratory medicine  2009;103(12):1866-1870.
Common genetic variation may play an important role in altering chronic obstructive pulmonary disease (COPD) risk. In Xuanwei, China, the COPD rate is more than twice the Chinese national average, and COPD is strongly associated with in-home coal use. To identify genetic variation that may be associated with COPD in a population with substantial in-home coal smoke exposures, we evaluated 1,261 single nucleotide polymorphisms (SNPs) in 380 candidate genes potentially relevant for cancer and other human diseases in a population-based case-control study in Xuanwei (53 cases; 107 controls). PTEN was the most significantly associated gene with COPD in a minP analysis using 20,000 permutations (P = 0.00005). SNP-based analyses found that homozygote variant carriers of PTEN rs701848 (ORTT = 0.12, 95%CI = 0.03 - 0.47) had a significant decreased risk of COPD. PTEN, or phosphatase and tensin homolog, is an important regulator of cell cycle progression and cellular survival via the AKT signaling pathway. Our exploratory analysis suggests that genetic variation in PTEN may be an important risk factor of COPD in Xuanwei. However, due to the small sample size, additional studies are needed to evaluate these associations within Xuanwei and other populations with coal smoke exposures.
doi:10.1016/j.rmed.2009.06.016
PMCID: PMC2783799  PMID: 19625176
COPD; cell cycle; apoptosis; AKT; PTEN
21.  Genetic variation in telomere maintenance genes, telomere length, and lung cancer susceptibility 
Telomeres are responsible for the protection of the chromosome ends and shortened telomere length has been associated with risk of multiple cancers. Genetic variation in telomere related genes may alter cancer risk associated with telomere length. Using lung cancer cases (n = 120) and population-based controls (n = 110) from Xuanwei, China, we analyzed telomere length separately and in conjunction with single nucleotide polymorphisms in the telomere maintenance genes POT1, TERT, and TERF2, which we have previously reported were associated with risk of lung cancer in this study. POT1 rs10244817, TERT rs2075786, and TERF2 rs251796 were significantly associated with lung cancer (ptrend ≤ 0.05). The shortest tertile of telomere length was not significantly associated with risk of lung cancer (OR = 1.58; 95% CI = 0.79 – 3.18) when compared to the longest tertile of telomere length. When stratified by genotype, there was a suggestion of a dose-response relationship between tertiles of telomere length and risk of lung cancer among the POT1 rs10244817 common variant carriers (OR (95%CI) = 1.33 (0.47 – 3.75), 3.30 (1.14 – 9.56), respectively) but not among variant genotype carriers (pinteraction = 0.05). Our findings provide evidence that telomere length and genetic variation in telomere maintenance genes may be associated with risk of lung cancer susceptibility and warrant replication in larger studies.
doi:10.1016/j.lungcan.2009.02.005
PMCID: PMC2783462  PMID: 19285750
POT1; TERT; TERF2
22.  Caspase polymorphisms and genetic susceptibility to multiple myeloma 
Hematological oncology  2008;26(3):148-151.
Multiple myeloma is a haematological malignency, characterized by clonal expansion of plasma cells. However, little is known about the cause of multiple myeloma. Cancer cells must avoid apoptosis to ensure unregulated tumour formation and growth. The highly conserved caspase cascade is essential to the regulation of the apoptotic pathway. To examine if five single nucleotide polymorphisms (SNPs) in four caspase genes [CASP3 Ex8-280 C >A (rs6948), CASP3 Ex8 + 567 T >C (rs1049216), CASP8 Ex14-271 A >T (rs13113), CASP9 Ex5 + 32 G >A (rs1052576), CASP10 Ex3-171 A >G (rs39001150)] alter multiple myeloma risk, we conducted a population-based case-control study of women (128 cases; 516 controls) in Connecticut. Compared to individuals with the TT genotype of CASP3 Ex8 + 567 T >C, subjects with the CC genotype had a five-fold decreased risk of multiple myeloma (odds ratio (OR)CC = 0.2, 95% confidence interval (CI) = 0.0–1.0). Further, individuals with the AG and AA genotypes of CASP9 Ex5 + 32 G >A also experienced a decreased risk of multiple myeloma (ORAG = 0.8, 95% CI = 0.5–1.3; ORAA = 0.5, 95% CI = 0.3–0.9; p-trend = 0.02). While no previous study has evaluated the association between caspase genes and multiple myeloma, studies have found associations with lung, breast, esophageal, gastric, colorectal and cervical cancers. Our parallel study of non-Hodgkin lymphoma, which utilized the same controls, found strong evidence that caspase genes play a key role in lymphogenesis. The protective associations observed in two key caspase genes suggest that genetic variation in CASP genes may play an important role in the aetiology of multiple myeloma.
doi:10.1002/hon.852
PMCID: PMC2586415  PMID: 18381704
multiple myeloma; caspase; variant; polymorphism; snp; risk factors
23.  Longer Telomere Length in Peripheral White Blood Cells Is Associated with Risk of Lung Cancer and the rs2736100 (CLPTM1L-TERT) Polymorphism in a Prospective Cohort Study among Women in China 
PLoS ONE  2013;8(3):e59230.
A recent genome-wide association study of lung cancer among never-smoking females in Asia demonstrated that the rs2736100 polymorphism in the TERT-CLPTM1L locus on chromosome 5p15.33 was strongly and significantly associated with risk of adenocarcinoma of the lung. The telomerase gene TERT is a reverse transcriptase that is critical for telomere replication and stabilization by controlling telomere length. We previously found that longer telomere length measured in peripheral white blood cell DNA was associated with increased risk of lung cancer in a prospective cohort study of smoking males in Finland. To follow up on this finding, we carried out a nested case-control study of 215 female lung cancer cases and 215 female controls, 94% of whom were never-smokers, in the prospective Shanghai Women’s Health Study cohort. There was a dose-response relationship between tertiles of telomere length and risk of lung cancer (odds ratio (OR), 95% confidence interval [CI]: 1.0, 1.4 [0.8–2.5], and 2.2 [1.2–4.0], respectively; P trend = 0.003). Further, the association was unchanged by the length of time from blood collection to case diagnosis. In addition, the rs2736100 G allele, which we previously have shown to be associated with risk of lung cancer in this cohort, was significantly associated with longer telomere length in these same study subjects (P trend = 0.030). Our findings suggest that individuals with longer telomere length in peripheral white blood cells may have an increased risk of lung cancer, but require replication in additional prospective cohorts and populations.
doi:10.1371/journal.pone.0059230
PMCID: PMC3608613  PMID: 23555636
24.  Polymorphisms in Complement System Genes and Risk of Non-Hodgkin Lymphoma 
The complement system plays an important role in inflammatory and immune responses, and recent evidence has suggested that it may also play a role in lymphomagenesis. We evaluated the association between genetic variation in complement system genes and risk of non-Hodgkin lymphoma (NHL) in a population-based case–control study conducted among women in Connecticut. Tag SNPs in 30 complement genes were genotyped in 432 Caucasian incident cases and 494 frequency-matched controls. A gene-based analysis that adjusted for the number of tag SNPs genotyped in each gene showed a significant association with NHL overall (P = 0.04) as well as with diffuse large B-cell lymphoma (DLBCL) (P = 0.01) for the C1RL gene. A SNP-based analysis showed that a C>T base substitution for C1RL rs3813729 (odds ratio (OR)CT = 0.60, 95% confidence interval (CI) = 0.42–0.87, Ptrend = 0.0062) was associated with a decreased risk of overall NHL, as well as for DLBCL (ORCT = 0.39, 95% CI = 0.20–0.73; Ptrend = 0.0034). Additionally, SNPs (C2 rs497309, A>C and C3 rs344550, G>C) in two complement genes were positively associated with marginal zone lymphoma (MZL) and C1QG was associated with CLL/SLL, but these results were based on a limited number of cases. Our results suggest a potential role of the complement system in susceptibility to NHL; however, our results should be viewed as exploratory and further replication is needed to clarify these preliminary findings.
doi:10.1002/em.21675
PMCID: PMC3391498  PMID: 22170086
lymphoma; C1RL; innate immunity; SNP
25.  A Prospective Study of Telomere Length Measured by Monochrome Multiplex Quantitative PCR and Risk of Lung Cancer 
Purpose
Telomere length plays an important role in chromosomal stability and tumorigenesis, and its measurement in peripheral white blood cell DNA may be a predictor of the development of lung cancer.
Experimental Design
Using a new method - monochrome multiplex quantitative PCR -which reduces measurement variability, we compared telomere length relative to standard DNA in white blood cell DNA in 229 incident male lung cancer cases and 229 matched controls within the prospective Alpha-Tocopherol, Beta-Carotene Cancer Prevention (ATBC) Study of male smokers.
Results
Median (10th, 90th percentile) telomere length was 1.13 (0.86, 1.45) in cases and 1.08 (0.85, 1.38) in controls (P = 0.038). Telomere length was inversely associated with pack-years of smoking (Spearman correlation r = −0.16, P = 0.02) among controls. Compared to subjects with shorter telomere length (≤ median), subjects with greater telomere length (> median) had a 1.6-fold (95% CI, 1.06–2.36) increased risk of lung cancer. There was a significant linear relationship between quartiles of telomere length and risk of lung cancer (odds ratios (95% confidence intervals) by quartile: 1.00, 0.98 (0.55–1.73), 1.62 (0.95–2.77), and 1.50 (0.84–2.68); Ptrend = 0.05). In addition, subgroup analysis showed that greater telomere length was associated with increased risk of lung cancer among heavy smokers (> 38 years) (OR, 1.90; 95% CI, 1.00–3.59) but not among light smokers (≤ 38 years) (OR, 1.08; 95% CI, 0.56–2.11) (Pinteraction = 0.01).
Conclusions
Our results suggest that greater telomere length may be associated with higher risk of lung cancer among male smokers.
doi:10.1016/j.lungcan.2010.11.009
PMCID: PMC3509808  PMID: 21507503
Telomere length; lung cancer; cohort study

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